Emerging Insights in Vitiligo Therapeutics: A Focus on Oral and Topical JAK Inhibitors

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Emerging Insights in Vitiligo Therapeutics: A Focus on Oral and Topical JAK Inhibitors

Vitiligo is a common autoimmune disorder characterized by cutaneous depigmentation that has a substantial impact on patient quality of life.1 Vitiligo affects approximately 28.5 million individuals globally, with the highest lifetime prevalence occurring in Central Europe and South Asia.2 In the United States, Asian American and Hispanic/Latine populations most commonly are affected.3 The accompanying psychosocial burdens of vitiligo are particularly substantial among individuals with darker skin types, as evidenced by higher rates of concomitant anxiety and depression in these patients.4 Despite this, patients with skin of color are underrepresented in vitiligo research.2

Treatment algorithms developed based on worldwide expert consensus recommendations provide valuable insights into the management of segmental and nonsegmental vitiligo.5 The mainstay therapeutics include topical and oral corticosteroids, topical calcineurin inhibitors, and phototherapy. While vitiligo pathogenesis is not completely understood, recent advances have focused on the role of the Janus kinase (JAK)/signal transducer and activator of transcription pathway. Interferon gamma drives vitiligo pathogenesis through this pathway, upregulating C-X-C motif chemokine ligand 10 and promoting CD8+ T-cell recruitment, resulting in targeted melanocyte destruction.6 The emergence of targeted therapeutics may address equity and inclusion gaps. Herein, we highlight innovations in vitiligo treatment with a focus on oral and topical JAK inhibitors.

Oral JAK Inhibitors for Vitiligo

The therapeutic potential of JAK inhibitors for vitiligo was first reported when patients with alopecia areata and comorbid vitiligo experienced repigmentation of the skin following administration of oral ruxolitinib.7 Since this discovery, other oral JAK inhibitors have been investigated for vitiligo treatment. A phase 2b randomized clinical trial (RCT) of 364 patients examined oral ritlecitinib, a JAK3 inhibitor, and found it to be effective in treating active nonsegmental vitiligo.8 Patients aged 18 to 65 years with active nonsegmental vitiligo that had been present for 3 months or more as well as 4% to 50% body surface area (BSA) affected excluding acral surfaces and at least 0.25% facial involvement were included. Treatment groups received 50 mg (with or without a 100- or 200- mg loading dose), 30 mg, or 10 mg daily for 24 weeks. The primary endpoint measured the percentage change in Facial Vitiligo Area Scoring Index (F-VASI) score. Significant differences in F-VASI percentage change compared with placebo occurred for those in the 50-mg group who received a loading dose (-21.2 vs 2.1 [P<.001]) and those who did not receive a loading dose (–18.5 vs 2.1 [P<.001]) as well as the 30-mg group (-14.6 vs 2.1 [P=.01]). Continued repigmentation of the skin was observed in the 24-week extension period, indicating that longer treatment periods may be necessary for optimal repigmentation results. Ritlecitinib generally was well tolerated, and the most common treatment-emergent adverse events were nasopharyngitis (15.9%), upper respiratory tract infection (11.5%), and headache (8.8%). Most patients identified as White (67.6%), with 23.6% identifying as Asian and 2.7% identifying as Black. The authors stated that continued improvement was observed in the extension period across all skin types; however, the data were not reported.8

Upadacitnib, an oral selective JAK1 inhibitor, also has demonstrated efficacy in nonsegmental vitiligo in a phase 2 RCT.9 Adult patients (N=185) with nonsegmental vitiligo were randomized to receive upadacitinib 6 mg, 11 mg, or 22 mg or placebo (the placebo group subsequently was switched to upadacitinib 11 mg or 22 mg after 24 weeks). The primary endpoint measured the percentage change in F-VASI score at 24 weeks. The higher doses of upadacitinib resulted in significant changes in F-VASI scored compared with placebo (6 mg: -7.60 [95% CI, -22.18 to 6.97][P=.30]; 11 mg: -21.27 [95% CI, -36.02 to -6.52][P=.01]; 22 mg: -19.60 [95% CI, -35.04 to –4.16][P=.01]). As with ritlecitinib, continued repigmentation was observed beyond the initial 24-week period. Of the 185 participants, 5.9% identified as Black and 13.5% identified as Asian. The investigators reported that the percentage change in F-VASI score was consistent across skin types.9 The results of these phase 2 RCTs are encouraging, and we anticipate the findings of 2 phase 3 RCTs for ritlecitinib and upadacitinib that currently are underway (Clinicaltrials.gov identifiers NCT05583526 and NCT06118411).

Topical JAK Inhibitors for Vitiligo

Tofacitinib cream 2%, a selective JAK3 inhibitor, has shown therapeutic potential for treatment of vitiligo. One of the earliest pilot studies on topical tofacitinib examined the efficacy of tofacitinib cream 2% applied twice daily combined with narrowband UVB therapy 3 times weekly for facial vitiligo. The investigators reported repigmentation of the skin in all 11 patients (which included 4 Asian patients and 1 Hispanic patient), with a mean improvement of 70% in F-VASI score (range, 50%-87%).10 In a nonrandomized cohort study of 16 patients later that year, twice-daily application of tofacitinib cream 2% on facial and nonfacial vitiligo lesions resulted in partial repigmentation in 81.3% of patients: 4 (25%) achieved greater than 90% improvement, 5 (31.3%) achieved improvement of 25% to 75%, and 4 (25%) achieved 5% to 15% improvement.11 The researchers also found that tofacitinib cream 2% was significantly more effective in facial than nonfacial lesions (P=.02).

While tofacitinib has shown promise in early studies, recent advancements have led to US Food and Drug Administration approval of ruxolitinib cream 1.5%, another topical JAK inhibitor that has undergone robust clinical testing for vitiligo.12-14 Ruxolitinib, a JAK1, JAK2, and JAK3 inhibitor, is the first and only US Food and Drug Administration–approved topical JAK inhibitor for vitiligo.14,15 Two phase 3, double-blind, vehicle-controlled trials of identical design conducted across 101 centers in North America and Europe (TRuE-V1 and TRuE-V2) assessed the efficacy of ruxolitinib cream 1.5% in 674 patients aged 12 years and older with nonsegmental vitiligo covering 10% or lower total BSA.13 In both trials, twice-daily application of topical ruxolitinib resulted in greater facial repigmentation and improvement in F-VASI75 score (ie, a reduction of at least 75% from baseline) at 24 weeks in 29.9% (66/221) and 30.1% (69/222) of patients in TRuE-V1 and TRuE-V2, respectively. Continued application through 52 weeks resulted in F-VASI75 response in 52.6% (91/173) and 48.0% (85/177) of patients in TRuE-V1 and TRuE-V2, respectively. The most frequently reported adverse events were acne (6.3% [14/221] and 6.6% [15/228]), nasopharyngitis (5.4% [12/221] and 6.1% [14/228]), and pruritus (5.4% [12/221] and 5.3% [12/228]). These findings align with prior subgroup analyses of an earlier phase 2 double- blind RCT of ruxolitinib cream 1.5% that indicated similar improvement in vitiligo among patients with differing skin tones.17

There are no additional large-scale RCTs examining topical JAK inhibitors with intentional subanalysis of diverse skin tones.16,17,18 Studies examining topical JAK inhibitors have expanded to be more inclusive, providing hope for the future of topical vitiligo therapeutics for all patients.

Final Thoughts

It is imperative to increase racial/ethnic and skin type diversity in research on JAK inhibitors for vitiligo. While the studies mentioned here are inclusive of an array of races and skin tones, it is crucial that future research continue to expand the number of diverse participants, especially given the increased psychosocial burdens of vitiligo in patients with darker skin types.4 Intentional subgroup analyses across skin tones are vital to characterize and unmask potential differences between lighter and darker skin types. This point was exemplified by a 2024 RCT that investigated ritlecitinib efficacy with biomarker analysis across skin types.19 For patients receiving ritlecitinib 50 mg, IL-9 and IL-22 expression were decreased in darker vs lighter skin tones (P<.05). This intentional and inclusive analysis revealed a potential immunologic mechanism for why darker skin tones respond to JAK inhibitor therapy earlier than lighter skin tones.19

In the expanding landscape of oral and topical JAK inhibitors for vitiligo, continued efforts to assess these therapies across a range of skin tones and racial/ ethnic groups are critical. The efficacy of JAK inhibitors in other populations, including pediatric patients and patients with refractory segmental disease, have been reported.20,21 As larger studies are developed based on the success of individual cases, researchers should investigate the efficacy of JAK inhibitors for various vitiligo subtypes (eg, segmental, nonsegmental) and recalcitrant disease and conduct direct comparisons with traditional treatments across diverse skin tones and racial/ethnic subgroup analyses to ensure broad therapeutic applicability.

References
  1. Alikhan Ali, Felsten LM, Daly M, et al. Vitiligo: a comprehensive overview. part I. introduction, epidemiology, quality of life, diagnosis, differential diagnosis, associations, histopathology, etiology, and work-up. J Am Acad Dermatol. 2011;65:473-491. doi:10.1016 /j.jaad.2010.11.061
  2. Akl J, Lee S, Ju HJ, et al. Estimating the burden of vitiligo: a systematic review and modelling study. Lancet Public Health. 2024;9:E386-E396. doi:10.1016/S2468-2667(24)00026-4
  3. Mastacouris N, Strunk A, Garg A. Incidence and prevalence of diagnosed vitiligo according to race and ethnicity, age, and sex in the US. JAMA Dermatol. 2023;159:986-990. doi:10.1001/jama dermatol.2023.2162
  4. Bibeau K, Ezzedine K, Harris JE, et al. Mental health and psychosocial quality-of-life burden among patients with vitiligo: findings from the global VALIANT study. JAMA Dermatol. 2023;159:1124-1128. doi:10.1001/jamadermatol.2023.2787
  5. van Geel N, Speeckaert R, Taïeb A, et al. Worldwide expert recommendations for the diagnosis and management of vitiligo: position statement from the International Vitiligo Task Force part 1: towards a new management algorithm. J Eur Acad Dermatol Venereol. 2023; 37:2173-2184. doi:10.1111/jdv.19451
  6. Rashighi M, Agarwal P, Richmond JM, et al. CXCL10 is critical for the progression and maintenance of depigmentation in a mouse model of vitiligo. Sci Transl Med. 2014;6:223ra23. doi:10.1126 /scitranslmed.3007811
  7. Harris JE, Rashighi M, Nguyen N, et al. Rapid skin repigmentation on oral ruxolitinib in a patient with coexistent vitiligo and alopecia areata (AA). J Am Acad Dermatol. 2016;74:370-371. doi:10.1016/ j.jaad.2015.09.073
  8. Ezzedine K, Peeva E, Yamguchi Y, et al. Efficacy and safety of oral ritlecitinib for the treatment of active nonsegmental vitiligo: a randomized phase 2b clinical trial. J Am Acad Dermatol. 2023;88:395-403. doi:10.1016/j.jaad.2022.11.005
  9. Passeron T, Ezzedine K, Hamzavi I, et al. Once-daily upadacitinib versus placebo in adults with extensive non-segmental vitiligo: a phase 2, multicentre, randomised, double-blind, placebo-controlled, dose-ranging study. EClinicalMedicine. 2024;73:102655. doi:10.1016 /j.eclinm.2024.102655
  10. McKesey J, Pandya AG. A pilot study of 2% tofacitinib cream with narrowband ultraviolet B for the treatment of facial vitiligo. J Am Acad Dermatol. 2019;81:646-648. doi:10.1016/j.jaad.2019.04.032
  11. Mobasher P, Guerra R, Li SJ, et al. Open-label pilot study of tofacitinib 2% for the treatment of refractory vitiligo. Brit J Dermatol. 2020;182:1047-1049. doi:10.1111/bjd.18606
  12. Rosmarin D, Pandya AG, Lebwohl M, et al. Ruxolitinib cream for treatment of vitiligo: a randomised, controlled, phase 2 trial. Lancet. 2020;396:110-120. doi:10.1016/S0140-6736(20)30609-7
  13. Rosmarin D, Passeron T, Pandya AG, et al; TRuE-V Study Group. Two phase 3, randomized, controlled trials of ruxolitinib cream for vitiligo. N Engl J Med. 2022;387:1445-1455. doi:10.1056/NEJMoa2118828
  14. FDA. FDA approves topical treatment addressing repigmentation in vitiligo in patients aged 12 and older. Published July 19, 2022. Accessed January 30, 2025. https://www.fda.gov/drugs/news-events-human-drugs/fda-approves-topical-treatment-addressing-repigmentation-vitiligo-patients-aged-12-and-older
  15. Quintás-Cardama A, Vaddi K, Liu P, et al. Preclinical characterization of the selective JAK1/2 inhibitor INCB018424: therapeutic implications for the treatment of myeloproliferative neoplasms. Blood. 2010;115:3109-3117. doi:10.1182/blood-2009-04-214957
  16. Seneschal J, Wolkerstorfer A, Desai SR, et al. Efficacy and safety of ruxolitinib cream for the treatment of vitiligo by patient demographics and baseline clinical characteristics: week 52 pooled subgroup analysis from two randomized phase 3 studies. Brit J Dermatol. 2023;188 (suppl 1):ljac106.006. doi:10.1093/bjd/ljac106.006
  17. Hamzavi I, Rosmarin D, Harris JE, et al. Efficacy of ruxolitinib cream in vitiligo by patient characteristics and affected body areas: descriptive subgroup analyses from a phase 2, randomized, double-blind trial. J Am Acad Dermatol. 2022;86:1398-1401. doi:10.1016/j.jaad.2021.05.047
  18. Inoue S, Suzuki T, Sano S, et al. JAK inhibitors for the treatment of vitiligo. J Dermatol Sci. 2024;113:86-92. doi:10.1016/j.jdermsci.2023.12.008
  19. Peeva E, Yamaguchi Y, Ye Z, et al. Efficacy and safety of ritlecitinib in vitiligo patients across Fitzpatrick skin types with biomarker analyses. Exp Dermatol. 2024;33:E15177. doi:10.1111/exd.15177
  20. Mu Y, Pan T, Chen L. Treatment of refractory segmental vitiligo and alopecia areata in a child with upadacitinib and NB-UVB: a case report. Clin Cosmet Investig Dermatol. 2024;17:1789-1792. doi:10.2147 /CCID.S467026
  21. Shah RR, McMichael A. Resistant vitiligo treated with tofacitinib and sustained repigmentation after discontinuation. Skinmed. 2024;22:384-385.
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Iain Noel Encarnacion is from Eastern Virginia Medical School, Norfolk. Noelle Desir is from Weill Cornell Medical College, New York, New York. Dr. Taylor is from the Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Iain Noel Encarnacion and Noelle Desir have no relevant financial disclosures to report. Dr. Taylor has served as a consultant, advisory board member, investigator, and/or speaker for AbbVie, Allergan Aesthetics, Arcutis, Armis Biopharma, Avita Medical, Beiersdorf, Biorez, Bristol-Myers Squibb, Cara Therapeutics, Catalyst Medical Education, Concert Pharmaceuticals, Croma-Pharma GmbH, Dermsquared, Dior, Eli Lilly and Company, EPI Health, Estée Lauder, Evolus, Galderma, GloGetter, Hugel America, Incyte, Johnson & Johnson Innovative Medicine, LearnSkin, L’Oreal USA, MedScape, MJH LifeSciences, Pfizer, Piction Health, Sanofi, Scientis US, UCB, and Vichy Laboratories. Dr. Taylor also serves on the board of directors for Mercer Strategies; has received stock options for Armis Biopharma, GloGetter, and Piction Health; and has received royalties from McGraw-Hill.

Correspondence: Susan C. Taylor, MD, Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104 ([email protected]).

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Iain Noel Encarnacion is from Eastern Virginia Medical School, Norfolk. Noelle Desir is from Weill Cornell Medical College, New York, New York. Dr. Taylor is from the Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Iain Noel Encarnacion and Noelle Desir have no relevant financial disclosures to report. Dr. Taylor has served as a consultant, advisory board member, investigator, and/or speaker for AbbVie, Allergan Aesthetics, Arcutis, Armis Biopharma, Avita Medical, Beiersdorf, Biorez, Bristol-Myers Squibb, Cara Therapeutics, Catalyst Medical Education, Concert Pharmaceuticals, Croma-Pharma GmbH, Dermsquared, Dior, Eli Lilly and Company, EPI Health, Estée Lauder, Evolus, Galderma, GloGetter, Hugel America, Incyte, Johnson & Johnson Innovative Medicine, LearnSkin, L’Oreal USA, MedScape, MJH LifeSciences, Pfizer, Piction Health, Sanofi, Scientis US, UCB, and Vichy Laboratories. Dr. Taylor also serves on the board of directors for Mercer Strategies; has received stock options for Armis Biopharma, GloGetter, and Piction Health; and has received royalties from McGraw-Hill.

Correspondence: Susan C. Taylor, MD, Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104 ([email protected]).

Cutis. 2025 March;115(3):73-75. doi:10.12788/cutis.1178

Author and Disclosure Information

Iain Noel Encarnacion is from Eastern Virginia Medical School, Norfolk. Noelle Desir is from Weill Cornell Medical College, New York, New York. Dr. Taylor is from the Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Iain Noel Encarnacion and Noelle Desir have no relevant financial disclosures to report. Dr. Taylor has served as a consultant, advisory board member, investigator, and/or speaker for AbbVie, Allergan Aesthetics, Arcutis, Armis Biopharma, Avita Medical, Beiersdorf, Biorez, Bristol-Myers Squibb, Cara Therapeutics, Catalyst Medical Education, Concert Pharmaceuticals, Croma-Pharma GmbH, Dermsquared, Dior, Eli Lilly and Company, EPI Health, Estée Lauder, Evolus, Galderma, GloGetter, Hugel America, Incyte, Johnson & Johnson Innovative Medicine, LearnSkin, L’Oreal USA, MedScape, MJH LifeSciences, Pfizer, Piction Health, Sanofi, Scientis US, UCB, and Vichy Laboratories. Dr. Taylor also serves on the board of directors for Mercer Strategies; has received stock options for Armis Biopharma, GloGetter, and Piction Health; and has received royalties from McGraw-Hill.

Correspondence: Susan C. Taylor, MD, Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104 ([email protected]).

Cutis. 2025 March;115(3):73-75. doi:10.12788/cutis.1178

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Vitiligo is a common autoimmune disorder characterized by cutaneous depigmentation that has a substantial impact on patient quality of life.1 Vitiligo affects approximately 28.5 million individuals globally, with the highest lifetime prevalence occurring in Central Europe and South Asia.2 In the United States, Asian American and Hispanic/Latine populations most commonly are affected.3 The accompanying psychosocial burdens of vitiligo are particularly substantial among individuals with darker skin types, as evidenced by higher rates of concomitant anxiety and depression in these patients.4 Despite this, patients with skin of color are underrepresented in vitiligo research.2

Treatment algorithms developed based on worldwide expert consensus recommendations provide valuable insights into the management of segmental and nonsegmental vitiligo.5 The mainstay therapeutics include topical and oral corticosteroids, topical calcineurin inhibitors, and phototherapy. While vitiligo pathogenesis is not completely understood, recent advances have focused on the role of the Janus kinase (JAK)/signal transducer and activator of transcription pathway. Interferon gamma drives vitiligo pathogenesis through this pathway, upregulating C-X-C motif chemokine ligand 10 and promoting CD8+ T-cell recruitment, resulting in targeted melanocyte destruction.6 The emergence of targeted therapeutics may address equity and inclusion gaps. Herein, we highlight innovations in vitiligo treatment with a focus on oral and topical JAK inhibitors.

Oral JAK Inhibitors for Vitiligo

The therapeutic potential of JAK inhibitors for vitiligo was first reported when patients with alopecia areata and comorbid vitiligo experienced repigmentation of the skin following administration of oral ruxolitinib.7 Since this discovery, other oral JAK inhibitors have been investigated for vitiligo treatment. A phase 2b randomized clinical trial (RCT) of 364 patients examined oral ritlecitinib, a JAK3 inhibitor, and found it to be effective in treating active nonsegmental vitiligo.8 Patients aged 18 to 65 years with active nonsegmental vitiligo that had been present for 3 months or more as well as 4% to 50% body surface area (BSA) affected excluding acral surfaces and at least 0.25% facial involvement were included. Treatment groups received 50 mg (with or without a 100- or 200- mg loading dose), 30 mg, or 10 mg daily for 24 weeks. The primary endpoint measured the percentage change in Facial Vitiligo Area Scoring Index (F-VASI) score. Significant differences in F-VASI percentage change compared with placebo occurred for those in the 50-mg group who received a loading dose (-21.2 vs 2.1 [P<.001]) and those who did not receive a loading dose (–18.5 vs 2.1 [P<.001]) as well as the 30-mg group (-14.6 vs 2.1 [P=.01]). Continued repigmentation of the skin was observed in the 24-week extension period, indicating that longer treatment periods may be necessary for optimal repigmentation results. Ritlecitinib generally was well tolerated, and the most common treatment-emergent adverse events were nasopharyngitis (15.9%), upper respiratory tract infection (11.5%), and headache (8.8%). Most patients identified as White (67.6%), with 23.6% identifying as Asian and 2.7% identifying as Black. The authors stated that continued improvement was observed in the extension period across all skin types; however, the data were not reported.8

Upadacitnib, an oral selective JAK1 inhibitor, also has demonstrated efficacy in nonsegmental vitiligo in a phase 2 RCT.9 Adult patients (N=185) with nonsegmental vitiligo were randomized to receive upadacitinib 6 mg, 11 mg, or 22 mg or placebo (the placebo group subsequently was switched to upadacitinib 11 mg or 22 mg after 24 weeks). The primary endpoint measured the percentage change in F-VASI score at 24 weeks. The higher doses of upadacitinib resulted in significant changes in F-VASI scored compared with placebo (6 mg: -7.60 [95% CI, -22.18 to 6.97][P=.30]; 11 mg: -21.27 [95% CI, -36.02 to -6.52][P=.01]; 22 mg: -19.60 [95% CI, -35.04 to –4.16][P=.01]). As with ritlecitinib, continued repigmentation was observed beyond the initial 24-week period. Of the 185 participants, 5.9% identified as Black and 13.5% identified as Asian. The investigators reported that the percentage change in F-VASI score was consistent across skin types.9 The results of these phase 2 RCTs are encouraging, and we anticipate the findings of 2 phase 3 RCTs for ritlecitinib and upadacitinib that currently are underway (Clinicaltrials.gov identifiers NCT05583526 and NCT06118411).

Topical JAK Inhibitors for Vitiligo

Tofacitinib cream 2%, a selective JAK3 inhibitor, has shown therapeutic potential for treatment of vitiligo. One of the earliest pilot studies on topical tofacitinib examined the efficacy of tofacitinib cream 2% applied twice daily combined with narrowband UVB therapy 3 times weekly for facial vitiligo. The investigators reported repigmentation of the skin in all 11 patients (which included 4 Asian patients and 1 Hispanic patient), with a mean improvement of 70% in F-VASI score (range, 50%-87%).10 In a nonrandomized cohort study of 16 patients later that year, twice-daily application of tofacitinib cream 2% on facial and nonfacial vitiligo lesions resulted in partial repigmentation in 81.3% of patients: 4 (25%) achieved greater than 90% improvement, 5 (31.3%) achieved improvement of 25% to 75%, and 4 (25%) achieved 5% to 15% improvement.11 The researchers also found that tofacitinib cream 2% was significantly more effective in facial than nonfacial lesions (P=.02).

While tofacitinib has shown promise in early studies, recent advancements have led to US Food and Drug Administration approval of ruxolitinib cream 1.5%, another topical JAK inhibitor that has undergone robust clinical testing for vitiligo.12-14 Ruxolitinib, a JAK1, JAK2, and JAK3 inhibitor, is the first and only US Food and Drug Administration–approved topical JAK inhibitor for vitiligo.14,15 Two phase 3, double-blind, vehicle-controlled trials of identical design conducted across 101 centers in North America and Europe (TRuE-V1 and TRuE-V2) assessed the efficacy of ruxolitinib cream 1.5% in 674 patients aged 12 years and older with nonsegmental vitiligo covering 10% or lower total BSA.13 In both trials, twice-daily application of topical ruxolitinib resulted in greater facial repigmentation and improvement in F-VASI75 score (ie, a reduction of at least 75% from baseline) at 24 weeks in 29.9% (66/221) and 30.1% (69/222) of patients in TRuE-V1 and TRuE-V2, respectively. Continued application through 52 weeks resulted in F-VASI75 response in 52.6% (91/173) and 48.0% (85/177) of patients in TRuE-V1 and TRuE-V2, respectively. The most frequently reported adverse events were acne (6.3% [14/221] and 6.6% [15/228]), nasopharyngitis (5.4% [12/221] and 6.1% [14/228]), and pruritus (5.4% [12/221] and 5.3% [12/228]). These findings align with prior subgroup analyses of an earlier phase 2 double- blind RCT of ruxolitinib cream 1.5% that indicated similar improvement in vitiligo among patients with differing skin tones.17

There are no additional large-scale RCTs examining topical JAK inhibitors with intentional subanalysis of diverse skin tones.16,17,18 Studies examining topical JAK inhibitors have expanded to be more inclusive, providing hope for the future of topical vitiligo therapeutics for all patients.

Final Thoughts

It is imperative to increase racial/ethnic and skin type diversity in research on JAK inhibitors for vitiligo. While the studies mentioned here are inclusive of an array of races and skin tones, it is crucial that future research continue to expand the number of diverse participants, especially given the increased psychosocial burdens of vitiligo in patients with darker skin types.4 Intentional subgroup analyses across skin tones are vital to characterize and unmask potential differences between lighter and darker skin types. This point was exemplified by a 2024 RCT that investigated ritlecitinib efficacy with biomarker analysis across skin types.19 For patients receiving ritlecitinib 50 mg, IL-9 and IL-22 expression were decreased in darker vs lighter skin tones (P<.05). This intentional and inclusive analysis revealed a potential immunologic mechanism for why darker skin tones respond to JAK inhibitor therapy earlier than lighter skin tones.19

In the expanding landscape of oral and topical JAK inhibitors for vitiligo, continued efforts to assess these therapies across a range of skin tones and racial/ ethnic groups are critical. The efficacy of JAK inhibitors in other populations, including pediatric patients and patients with refractory segmental disease, have been reported.20,21 As larger studies are developed based on the success of individual cases, researchers should investigate the efficacy of JAK inhibitors for various vitiligo subtypes (eg, segmental, nonsegmental) and recalcitrant disease and conduct direct comparisons with traditional treatments across diverse skin tones and racial/ethnic subgroup analyses to ensure broad therapeutic applicability.

Vitiligo is a common autoimmune disorder characterized by cutaneous depigmentation that has a substantial impact on patient quality of life.1 Vitiligo affects approximately 28.5 million individuals globally, with the highest lifetime prevalence occurring in Central Europe and South Asia.2 In the United States, Asian American and Hispanic/Latine populations most commonly are affected.3 The accompanying psychosocial burdens of vitiligo are particularly substantial among individuals with darker skin types, as evidenced by higher rates of concomitant anxiety and depression in these patients.4 Despite this, patients with skin of color are underrepresented in vitiligo research.2

Treatment algorithms developed based on worldwide expert consensus recommendations provide valuable insights into the management of segmental and nonsegmental vitiligo.5 The mainstay therapeutics include topical and oral corticosteroids, topical calcineurin inhibitors, and phototherapy. While vitiligo pathogenesis is not completely understood, recent advances have focused on the role of the Janus kinase (JAK)/signal transducer and activator of transcription pathway. Interferon gamma drives vitiligo pathogenesis through this pathway, upregulating C-X-C motif chemokine ligand 10 and promoting CD8+ T-cell recruitment, resulting in targeted melanocyte destruction.6 The emergence of targeted therapeutics may address equity and inclusion gaps. Herein, we highlight innovations in vitiligo treatment with a focus on oral and topical JAK inhibitors.

Oral JAK Inhibitors for Vitiligo

The therapeutic potential of JAK inhibitors for vitiligo was first reported when patients with alopecia areata and comorbid vitiligo experienced repigmentation of the skin following administration of oral ruxolitinib.7 Since this discovery, other oral JAK inhibitors have been investigated for vitiligo treatment. A phase 2b randomized clinical trial (RCT) of 364 patients examined oral ritlecitinib, a JAK3 inhibitor, and found it to be effective in treating active nonsegmental vitiligo.8 Patients aged 18 to 65 years with active nonsegmental vitiligo that had been present for 3 months or more as well as 4% to 50% body surface area (BSA) affected excluding acral surfaces and at least 0.25% facial involvement were included. Treatment groups received 50 mg (with or without a 100- or 200- mg loading dose), 30 mg, or 10 mg daily for 24 weeks. The primary endpoint measured the percentage change in Facial Vitiligo Area Scoring Index (F-VASI) score. Significant differences in F-VASI percentage change compared with placebo occurred for those in the 50-mg group who received a loading dose (-21.2 vs 2.1 [P<.001]) and those who did not receive a loading dose (–18.5 vs 2.1 [P<.001]) as well as the 30-mg group (-14.6 vs 2.1 [P=.01]). Continued repigmentation of the skin was observed in the 24-week extension period, indicating that longer treatment periods may be necessary for optimal repigmentation results. Ritlecitinib generally was well tolerated, and the most common treatment-emergent adverse events were nasopharyngitis (15.9%), upper respiratory tract infection (11.5%), and headache (8.8%). Most patients identified as White (67.6%), with 23.6% identifying as Asian and 2.7% identifying as Black. The authors stated that continued improvement was observed in the extension period across all skin types; however, the data were not reported.8

Upadacitnib, an oral selective JAK1 inhibitor, also has demonstrated efficacy in nonsegmental vitiligo in a phase 2 RCT.9 Adult patients (N=185) with nonsegmental vitiligo were randomized to receive upadacitinib 6 mg, 11 mg, or 22 mg or placebo (the placebo group subsequently was switched to upadacitinib 11 mg or 22 mg after 24 weeks). The primary endpoint measured the percentage change in F-VASI score at 24 weeks. The higher doses of upadacitinib resulted in significant changes in F-VASI scored compared with placebo (6 mg: -7.60 [95% CI, -22.18 to 6.97][P=.30]; 11 mg: -21.27 [95% CI, -36.02 to -6.52][P=.01]; 22 mg: -19.60 [95% CI, -35.04 to –4.16][P=.01]). As with ritlecitinib, continued repigmentation was observed beyond the initial 24-week period. Of the 185 participants, 5.9% identified as Black and 13.5% identified as Asian. The investigators reported that the percentage change in F-VASI score was consistent across skin types.9 The results of these phase 2 RCTs are encouraging, and we anticipate the findings of 2 phase 3 RCTs for ritlecitinib and upadacitinib that currently are underway (Clinicaltrials.gov identifiers NCT05583526 and NCT06118411).

Topical JAK Inhibitors for Vitiligo

Tofacitinib cream 2%, a selective JAK3 inhibitor, has shown therapeutic potential for treatment of vitiligo. One of the earliest pilot studies on topical tofacitinib examined the efficacy of tofacitinib cream 2% applied twice daily combined with narrowband UVB therapy 3 times weekly for facial vitiligo. The investigators reported repigmentation of the skin in all 11 patients (which included 4 Asian patients and 1 Hispanic patient), with a mean improvement of 70% in F-VASI score (range, 50%-87%).10 In a nonrandomized cohort study of 16 patients later that year, twice-daily application of tofacitinib cream 2% on facial and nonfacial vitiligo lesions resulted in partial repigmentation in 81.3% of patients: 4 (25%) achieved greater than 90% improvement, 5 (31.3%) achieved improvement of 25% to 75%, and 4 (25%) achieved 5% to 15% improvement.11 The researchers also found that tofacitinib cream 2% was significantly more effective in facial than nonfacial lesions (P=.02).

While tofacitinib has shown promise in early studies, recent advancements have led to US Food and Drug Administration approval of ruxolitinib cream 1.5%, another topical JAK inhibitor that has undergone robust clinical testing for vitiligo.12-14 Ruxolitinib, a JAK1, JAK2, and JAK3 inhibitor, is the first and only US Food and Drug Administration–approved topical JAK inhibitor for vitiligo.14,15 Two phase 3, double-blind, vehicle-controlled trials of identical design conducted across 101 centers in North America and Europe (TRuE-V1 and TRuE-V2) assessed the efficacy of ruxolitinib cream 1.5% in 674 patients aged 12 years and older with nonsegmental vitiligo covering 10% or lower total BSA.13 In both trials, twice-daily application of topical ruxolitinib resulted in greater facial repigmentation and improvement in F-VASI75 score (ie, a reduction of at least 75% from baseline) at 24 weeks in 29.9% (66/221) and 30.1% (69/222) of patients in TRuE-V1 and TRuE-V2, respectively. Continued application through 52 weeks resulted in F-VASI75 response in 52.6% (91/173) and 48.0% (85/177) of patients in TRuE-V1 and TRuE-V2, respectively. The most frequently reported adverse events were acne (6.3% [14/221] and 6.6% [15/228]), nasopharyngitis (5.4% [12/221] and 6.1% [14/228]), and pruritus (5.4% [12/221] and 5.3% [12/228]). These findings align with prior subgroup analyses of an earlier phase 2 double- blind RCT of ruxolitinib cream 1.5% that indicated similar improvement in vitiligo among patients with differing skin tones.17

There are no additional large-scale RCTs examining topical JAK inhibitors with intentional subanalysis of diverse skin tones.16,17,18 Studies examining topical JAK inhibitors have expanded to be more inclusive, providing hope for the future of topical vitiligo therapeutics for all patients.

Final Thoughts

It is imperative to increase racial/ethnic and skin type diversity in research on JAK inhibitors for vitiligo. While the studies mentioned here are inclusive of an array of races and skin tones, it is crucial that future research continue to expand the number of diverse participants, especially given the increased psychosocial burdens of vitiligo in patients with darker skin types.4 Intentional subgroup analyses across skin tones are vital to characterize and unmask potential differences between lighter and darker skin types. This point was exemplified by a 2024 RCT that investigated ritlecitinib efficacy with biomarker analysis across skin types.19 For patients receiving ritlecitinib 50 mg, IL-9 and IL-22 expression were decreased in darker vs lighter skin tones (P<.05). This intentional and inclusive analysis revealed a potential immunologic mechanism for why darker skin tones respond to JAK inhibitor therapy earlier than lighter skin tones.19

In the expanding landscape of oral and topical JAK inhibitors for vitiligo, continued efforts to assess these therapies across a range of skin tones and racial/ ethnic groups are critical. The efficacy of JAK inhibitors in other populations, including pediatric patients and patients with refractory segmental disease, have been reported.20,21 As larger studies are developed based on the success of individual cases, researchers should investigate the efficacy of JAK inhibitors for various vitiligo subtypes (eg, segmental, nonsegmental) and recalcitrant disease and conduct direct comparisons with traditional treatments across diverse skin tones and racial/ethnic subgroup analyses to ensure broad therapeutic applicability.

References
  1. Alikhan Ali, Felsten LM, Daly M, et al. Vitiligo: a comprehensive overview. part I. introduction, epidemiology, quality of life, diagnosis, differential diagnosis, associations, histopathology, etiology, and work-up. J Am Acad Dermatol. 2011;65:473-491. doi:10.1016 /j.jaad.2010.11.061
  2. Akl J, Lee S, Ju HJ, et al. Estimating the burden of vitiligo: a systematic review and modelling study. Lancet Public Health. 2024;9:E386-E396. doi:10.1016/S2468-2667(24)00026-4
  3. Mastacouris N, Strunk A, Garg A. Incidence and prevalence of diagnosed vitiligo according to race and ethnicity, age, and sex in the US. JAMA Dermatol. 2023;159:986-990. doi:10.1001/jama dermatol.2023.2162
  4. Bibeau K, Ezzedine K, Harris JE, et al. Mental health and psychosocial quality-of-life burden among patients with vitiligo: findings from the global VALIANT study. JAMA Dermatol. 2023;159:1124-1128. doi:10.1001/jamadermatol.2023.2787
  5. van Geel N, Speeckaert R, Taïeb A, et al. Worldwide expert recommendations for the diagnosis and management of vitiligo: position statement from the International Vitiligo Task Force part 1: towards a new management algorithm. J Eur Acad Dermatol Venereol. 2023; 37:2173-2184. doi:10.1111/jdv.19451
  6. Rashighi M, Agarwal P, Richmond JM, et al. CXCL10 is critical for the progression and maintenance of depigmentation in a mouse model of vitiligo. Sci Transl Med. 2014;6:223ra23. doi:10.1126 /scitranslmed.3007811
  7. Harris JE, Rashighi M, Nguyen N, et al. Rapid skin repigmentation on oral ruxolitinib in a patient with coexistent vitiligo and alopecia areata (AA). J Am Acad Dermatol. 2016;74:370-371. doi:10.1016/ j.jaad.2015.09.073
  8. Ezzedine K, Peeva E, Yamguchi Y, et al. Efficacy and safety of oral ritlecitinib for the treatment of active nonsegmental vitiligo: a randomized phase 2b clinical trial. J Am Acad Dermatol. 2023;88:395-403. doi:10.1016/j.jaad.2022.11.005
  9. Passeron T, Ezzedine K, Hamzavi I, et al. Once-daily upadacitinib versus placebo in adults with extensive non-segmental vitiligo: a phase 2, multicentre, randomised, double-blind, placebo-controlled, dose-ranging study. EClinicalMedicine. 2024;73:102655. doi:10.1016 /j.eclinm.2024.102655
  10. McKesey J, Pandya AG. A pilot study of 2% tofacitinib cream with narrowband ultraviolet B for the treatment of facial vitiligo. J Am Acad Dermatol. 2019;81:646-648. doi:10.1016/j.jaad.2019.04.032
  11. Mobasher P, Guerra R, Li SJ, et al. Open-label pilot study of tofacitinib 2% for the treatment of refractory vitiligo. Brit J Dermatol. 2020;182:1047-1049. doi:10.1111/bjd.18606
  12. Rosmarin D, Pandya AG, Lebwohl M, et al. Ruxolitinib cream for treatment of vitiligo: a randomised, controlled, phase 2 trial. Lancet. 2020;396:110-120. doi:10.1016/S0140-6736(20)30609-7
  13. Rosmarin D, Passeron T, Pandya AG, et al; TRuE-V Study Group. Two phase 3, randomized, controlled trials of ruxolitinib cream for vitiligo. N Engl J Med. 2022;387:1445-1455. doi:10.1056/NEJMoa2118828
  14. FDA. FDA approves topical treatment addressing repigmentation in vitiligo in patients aged 12 and older. Published July 19, 2022. Accessed January 30, 2025. https://www.fda.gov/drugs/news-events-human-drugs/fda-approves-topical-treatment-addressing-repigmentation-vitiligo-patients-aged-12-and-older
  15. Quintás-Cardama A, Vaddi K, Liu P, et al. Preclinical characterization of the selective JAK1/2 inhibitor INCB018424: therapeutic implications for the treatment of myeloproliferative neoplasms. Blood. 2010;115:3109-3117. doi:10.1182/blood-2009-04-214957
  16. Seneschal J, Wolkerstorfer A, Desai SR, et al. Efficacy and safety of ruxolitinib cream for the treatment of vitiligo by patient demographics and baseline clinical characteristics: week 52 pooled subgroup analysis from two randomized phase 3 studies. Brit J Dermatol. 2023;188 (suppl 1):ljac106.006. doi:10.1093/bjd/ljac106.006
  17. Hamzavi I, Rosmarin D, Harris JE, et al. Efficacy of ruxolitinib cream in vitiligo by patient characteristics and affected body areas: descriptive subgroup analyses from a phase 2, randomized, double-blind trial. J Am Acad Dermatol. 2022;86:1398-1401. doi:10.1016/j.jaad.2021.05.047
  18. Inoue S, Suzuki T, Sano S, et al. JAK inhibitors for the treatment of vitiligo. J Dermatol Sci. 2024;113:86-92. doi:10.1016/j.jdermsci.2023.12.008
  19. Peeva E, Yamaguchi Y, Ye Z, et al. Efficacy and safety of ritlecitinib in vitiligo patients across Fitzpatrick skin types with biomarker analyses. Exp Dermatol. 2024;33:E15177. doi:10.1111/exd.15177
  20. Mu Y, Pan T, Chen L. Treatment of refractory segmental vitiligo and alopecia areata in a child with upadacitinib and NB-UVB: a case report. Clin Cosmet Investig Dermatol. 2024;17:1789-1792. doi:10.2147 /CCID.S467026
  21. Shah RR, McMichael A. Resistant vitiligo treated with tofacitinib and sustained repigmentation after discontinuation. Skinmed. 2024;22:384-385.
References
  1. Alikhan Ali, Felsten LM, Daly M, et al. Vitiligo: a comprehensive overview. part I. introduction, epidemiology, quality of life, diagnosis, differential diagnosis, associations, histopathology, etiology, and work-up. J Am Acad Dermatol. 2011;65:473-491. doi:10.1016 /j.jaad.2010.11.061
  2. Akl J, Lee S, Ju HJ, et al. Estimating the burden of vitiligo: a systematic review and modelling study. Lancet Public Health. 2024;9:E386-E396. doi:10.1016/S2468-2667(24)00026-4
  3. Mastacouris N, Strunk A, Garg A. Incidence and prevalence of diagnosed vitiligo according to race and ethnicity, age, and sex in the US. JAMA Dermatol. 2023;159:986-990. doi:10.1001/jama dermatol.2023.2162
  4. Bibeau K, Ezzedine K, Harris JE, et al. Mental health and psychosocial quality-of-life burden among patients with vitiligo: findings from the global VALIANT study. JAMA Dermatol. 2023;159:1124-1128. doi:10.1001/jamadermatol.2023.2787
  5. van Geel N, Speeckaert R, Taïeb A, et al. Worldwide expert recommendations for the diagnosis and management of vitiligo: position statement from the International Vitiligo Task Force part 1: towards a new management algorithm. J Eur Acad Dermatol Venereol. 2023; 37:2173-2184. doi:10.1111/jdv.19451
  6. Rashighi M, Agarwal P, Richmond JM, et al. CXCL10 is critical for the progression and maintenance of depigmentation in a mouse model of vitiligo. Sci Transl Med. 2014;6:223ra23. doi:10.1126 /scitranslmed.3007811
  7. Harris JE, Rashighi M, Nguyen N, et al. Rapid skin repigmentation on oral ruxolitinib in a patient with coexistent vitiligo and alopecia areata (AA). J Am Acad Dermatol. 2016;74:370-371. doi:10.1016/ j.jaad.2015.09.073
  8. Ezzedine K, Peeva E, Yamguchi Y, et al. Efficacy and safety of oral ritlecitinib for the treatment of active nonsegmental vitiligo: a randomized phase 2b clinical trial. J Am Acad Dermatol. 2023;88:395-403. doi:10.1016/j.jaad.2022.11.005
  9. Passeron T, Ezzedine K, Hamzavi I, et al. Once-daily upadacitinib versus placebo in adults with extensive non-segmental vitiligo: a phase 2, multicentre, randomised, double-blind, placebo-controlled, dose-ranging study. EClinicalMedicine. 2024;73:102655. doi:10.1016 /j.eclinm.2024.102655
  10. McKesey J, Pandya AG. A pilot study of 2% tofacitinib cream with narrowband ultraviolet B for the treatment of facial vitiligo. J Am Acad Dermatol. 2019;81:646-648. doi:10.1016/j.jaad.2019.04.032
  11. Mobasher P, Guerra R, Li SJ, et al. Open-label pilot study of tofacitinib 2% for the treatment of refractory vitiligo. Brit J Dermatol. 2020;182:1047-1049. doi:10.1111/bjd.18606
  12. Rosmarin D, Pandya AG, Lebwohl M, et al. Ruxolitinib cream for treatment of vitiligo: a randomised, controlled, phase 2 trial. Lancet. 2020;396:110-120. doi:10.1016/S0140-6736(20)30609-7
  13. Rosmarin D, Passeron T, Pandya AG, et al; TRuE-V Study Group. Two phase 3, randomized, controlled trials of ruxolitinib cream for vitiligo. N Engl J Med. 2022;387:1445-1455. doi:10.1056/NEJMoa2118828
  14. FDA. FDA approves topical treatment addressing repigmentation in vitiligo in patients aged 12 and older. Published July 19, 2022. Accessed January 30, 2025. https://www.fda.gov/drugs/news-events-human-drugs/fda-approves-topical-treatment-addressing-repigmentation-vitiligo-patients-aged-12-and-older
  15. Quintás-Cardama A, Vaddi K, Liu P, et al. Preclinical characterization of the selective JAK1/2 inhibitor INCB018424: therapeutic implications for the treatment of myeloproliferative neoplasms. Blood. 2010;115:3109-3117. doi:10.1182/blood-2009-04-214957
  16. Seneschal J, Wolkerstorfer A, Desai SR, et al. Efficacy and safety of ruxolitinib cream for the treatment of vitiligo by patient demographics and baseline clinical characteristics: week 52 pooled subgroup analysis from two randomized phase 3 studies. Brit J Dermatol. 2023;188 (suppl 1):ljac106.006. doi:10.1093/bjd/ljac106.006
  17. Hamzavi I, Rosmarin D, Harris JE, et al. Efficacy of ruxolitinib cream in vitiligo by patient characteristics and affected body areas: descriptive subgroup analyses from a phase 2, randomized, double-blind trial. J Am Acad Dermatol. 2022;86:1398-1401. doi:10.1016/j.jaad.2021.05.047
  18. Inoue S, Suzuki T, Sano S, et al. JAK inhibitors for the treatment of vitiligo. J Dermatol Sci. 2024;113:86-92. doi:10.1016/j.jdermsci.2023.12.008
  19. Peeva E, Yamaguchi Y, Ye Z, et al. Efficacy and safety of ritlecitinib in vitiligo patients across Fitzpatrick skin types with biomarker analyses. Exp Dermatol. 2024;33:E15177. doi:10.1111/exd.15177
  20. Mu Y, Pan T, Chen L. Treatment of refractory segmental vitiligo and alopecia areata in a child with upadacitinib and NB-UVB: a case report. Clin Cosmet Investig Dermatol. 2024;17:1789-1792. doi:10.2147 /CCID.S467026
  21. Shah RR, McMichael A. Resistant vitiligo treated with tofacitinib and sustained repigmentation after discontinuation. Skinmed. 2024;22:384-385.
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Emerging Insights in Vitiligo Therapeutics: A Focus on Oral and Topical JAK Inhibitors

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Pink Papule on the Lower Eyelid

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Pink Papule on the Lower Eyelid

THE DIAGNOSIS: Poroma

Poromas are benign adnexal neoplasms that often are classified into the broader category of acrospiromas. They most commonly affect areas with a high density of eccrine sweat glands, such as the palms and soles, but also can appear in any area of the body with sweat glands.1 Poromas may have cuboidal eccrine cells with ovoid nuclei and a delicate vascularized stroma on histology or may show apocrinelike features with sebaceous cells.2,3 Immunohistochemically, poromas stain positively for carcinoembryonic antigen, epithelial membrane antigen, and periodic acid–Schiff (PAS) with diastase sensitivity.1,4 Cytokeratin (CK) 1 and CK-10 are expressed in the tumor nests.1

Poromas are the benign counterpart of porocarcinomas, which can recur and may become invasive and metastasize. Porocarcinomas have been shown to undergo malignant transformation from poromas as well as develop de novo.5 Histologic differentiation between the 2 conditions is key in determining excisional margins for treatment and follow-up. Poromas are histologically similar to porocarcinomas, but the latter show invasion into the dermis, nuclear and cytoplasmic pleomorphism, nuclear hyperchromatism, and increased mitotic activity.6 S-100 protein can be positive in porocarcinoma.7 Both poromas and porocarcinomas are associated with Yes-associated protein 1 (YAP1), Mastermind-like protein 2 (MAML2), and NUT midline carcinoma family member 1 (NUTM1) gene fusions.5

Basal cell carcinoma (BCC) is the most common cutaneous malignancy. It rarely metastasizes but can be locally destructive.8 Basal cell carcinomas typically occur on sun-exposed skin in middle-aged and elderly patients and classically manifest as pink or flesh-colored pearly papules with rolled borders and overlying telangiectasia.9 Risk factors for BCC include a chronic sun exposure, lighter skin phenotypes, immunosuppression, and a family history of skin cancer. The 2 most common subtypes of BCC are nodular and superficial, which comprise around 85% of BCCs.10 Histologically, nodular BCCs demonstrate nests of malignant basaloid cells with central disorganization, peripheral palisading, tumor-stroma clefting, and a mucoid stroma with spindle cells (Figure 1). Superficial BCC manifests with small islands of malignant basaloid cells with peripheral palisading that connect with the epidermis, often with a lichenoid inflammatory infiltrate.9 Basal cell carcinomas stain positively for Ber-EP4 and are associated with patched 1 (PTCH1), patched 2 (PTCH2), and tumor protein 53 (TP53) gene mutations.9,11

Filley-1
FIGURE 1. Basal cell carcinoma characterized by basaloid tumor islands with peripheral palisading and tumor-stromal retraction (H&E, original magnification ×20).

Spiradenomas are benign adnexal tumors manifesting as painful, usually singular, 1- to 3-cm nodules in younger adults.12 Histologically, spiradenomas have large clusters of small irregularly shaped aggregations of small basaloid and large polygonal cells with surrounding hyalinized basement membrane material and intratumoral lymphocytes (Figure 2).4 Spiradenomas stain positive for p63, D2-40, and CK7 and are associated with cylindromatosis lysine 63 deubiquitinase (CYLD) and alpha-protein kinase 1 (ALPK1) gene mutations.5

Filley-2
FIGURE 2. Well-circumscribed dermal basophilic tumor with ductal structures, basement membrane material arranged in trabeculae, and scattered lymphocytes throughout in the setting of spiradenoma (H&E, original magnification ×50).

Squamous cell carcinoma (SCC) is the second most common nonmelanoma skin cancer worldwide.13 Lesions typically develop on sun-exposed skin and manifest as red, hyperkeratotic, and sometimes ulcerated plaques or nodules.14 Risk factors for SCC include chronic sun exposure, lighter skin phenotypes, increased age, and immunosuppression. Histologically, there are several variants of SCC: low-risk variants include keratoacanthomas, verrucous carcinomas, and clear cell SCC, and high-risk variants include acantholytic SCC, spindle cell SCC, and adenosquamous carcinoma.14 Generally, low-grade SCC will have well-differentiated or moderately differentiated intercellular bridges or keratin pearls with tumor cells in a solid or sheetlike pattern (Figure 3). High-grade SCC will be poorly differentiated with the presence of infiltrating individual tumor cells.15 Immunohistochemically, SCC stains positive for p63, p40, AE1/AE3, CK5/6, and MNF116 while Ber-Ep4 is negative.14,15 Poorly differentiated SCCs have high rates of mutation, commonly in the tumor protein 53 (TP53), Cyclin-dependent kinase inhibitor 2A (CDKN2A), Ras pathway, and notch receptor 1 (NOTCH-1) genes.13

Filley-3
FIGURE 3. Squamous cell carcinoma manifesting with proliferation of atypical keratinocytes with abundant eosinophilic cytoplasm extending into the dermis and forming keratin pearls (H&E, original magnification ×50).

Syringomas are benign adnexal tumors that manifest as multiple soft, yellow to flesh-colored, 1- to 2-mm papules typically located on the lower eyelids, most commonly in women of reproductive age.16 Syringomas are described on histology as small comma-shaped nests with cords of eosinophilic to clear cells with central ducts surrounded by a sclerotic stroma (Figure 4). They stain positively for carcinoembryonic antigen, epithelial membrane antigen, and CK-5 and are associated with genetic mutations in phosphatidylinositol-4, 5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) and AKT serine/threonine kinase 1 (ATK1).4

Filley-4
FIGURE 4. Syringoma with well-circumscribed proliferation of basaloid, cuboidal, and double-layered epithelial cells forming comma-shaped ducts as well as nests, cysts, and cords located primarily in the papillary dermis (H&E, original magnification ×50).

Due to its regular exposure to sunlight, the eyelid accounts for 5% to 10% of all skin malignancies. Common eyelid lesions include squamous papilloma, seborrheic keratosis, epidermal inclusion cyst, hidrocystoma, intradermal nevus, BCC, SCC, and sebaceous carcinoma.17 Aside from syringomas, benign sweat gland tumors like poromas, hidradenomas, and spiradenomas usually do not manifest on the eyelids but should be included in the differential diagnosis of an unidentifiable lesion due to the small risk for malignant transformation. Eyelid poromas manifest polymorphically, most commonly being clinically diagnosed as BCC, making the histologic examination key for proper diagnosis and management.18

References
  1. Patterson J. Weedon’s Skin Pathology. 5th ed. Elsevier Limited; 2021.
  2. Aoki K, Baba S, Nohara T, et al. Eccrine poroma. J Dermatol. 1980; 7:263-269. doi:10.1111/j.1346-8138.1980.tb01967.x
  3. Harvell JD, Kerschmann RL, LeBoit PE. Eccrine or apocrine poroma? six poromas with divergent adnexal differentiation. Am J Dermatopathol. 1996;18:1-9. doi:10.1097/00000372-199602000-00001
  4. Miller AC, Adjei S, Temiz LA, et al. Dermal duct tumor: a diagnostic dilemma. Dermatopathology. 2022;9:36-47. doi:10.3390
  5. Macagno N, Sohier P, Kervarrec T, et al. Recent advances on immunohistochemistry and molecular biology for the diagnosis of adnexal sweat gland tumors. Cancers. 2022;14:476. doi:10.3390/cancers14030476
  6. Robson A, Greene J, Ansari N, et al. Eccrine porocarcinoma (malignant eccrine poroma): a clinicopathologic study of 69 cases. Am J Surg Pathol. 2001;25:710-720. doi:10.1097/00000478-200106000-00002 /dermatopathology9010007
  7. Kurisu Y, Tsuji M, Yasuda E, et al. A case of eccrine porocarcinoma: usefulness of immunostain for S-100 protein in the diagnoses of recurrent and metastatic dedifferentiated lesions. Ann Dermatol. 2013;25:348-351. doi:10.5021/ad.2013.25.3.348
  8. Stanoszek LM, Wang GY, Harms PW. Histologic mimics of basal cell carcinoma. Arch Pathol Lab Med. 2017;141:1490-1502. doi:10.5858 /arpa.2017-0222-RA
  9. Niculet E, Craescu M, Rebegea L, et al. Basal cell carcinoma: comprehensive clinical and histopathological aspects, novel imaging tools and therapeutic approaches (review). Exp Ther Med. 2022;23:60. doi:10.3892/etm.2021.10982
  10. Pelucchi C, Di Landro A, Naldi L, et al. Risk factors for histological types and anatomic sites of cutaneous basal-cell carcinoma: an Italian case-control study. J Invest Dermatol. 2007;127:935-944. doi:10.1038/sj.jid.5700598
  11. Sunjaya AP, Sunjaya AF, Tan ST. The use of BEREP4 immunohistochemistry staining for detection of basal cell carcinoma. J Skin Cancer. 2017;2017:2692604. doi:10.1155/2017/2692604
  12. Kim J, Yang HJ, Pyo JS. Eccrine spiradenoma of the scalp. Arch Craniofacial Surg. 2017;18:211-213. doi:10.7181/acfs.2017.18.3.211
  13. Que SKT, Zwald FO, Schmults CD. Cutaneous squamous cell carcinoma: incidence, risk factors, diagnosis, and staging. J Am Acad Dermatol. 2018;78:237-247. doi:10.1016/j.jaad.2017.08.059
  14. Waldman A, Schmults C. Cutaneous squamous cell carcinoma. Hematol Oncol Clin North Am. 2019;33:1-12. doi:10.1016/j.hoc.2018.08.001
  15. Yanofsky VR, Mercer SE, Phelps RG. Histopathological variants of cutaneous squamous cell carcinoma: a review. J Skin Cancer. 2011;2011:210813. doi:10.1155/2011/210813
  16. Lee JH, Chang JY, Lee KH. Syringoma: a clinicopathologic and immunohistologic study and results of treatment. Yonsei Med J. 2007;48:35-40. doi:10.3349/ymj.2007.48.1.35
  17. Adamski WZ, Maciejewski J, Adamska K, et al. The prevalence of various eyelid skin lesions in a single-centre observation study. Adv Dermatol Allergol Dermatol Alergol. 2021;38:804-807. doi:10.5114 /ada.2020.95652
  18. Mencía-Gutiérrez E, Navarro-Perea C, Gutiérrez-Díaz E, et al. Eyelid eccrine poroma: a case report and review of literature. Cureus. 202:12:E8906. doi:10.7759/cureus.8906
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Dr. Filley is from the Department of Medical Education, Texas A&M University College of Medicine, Dallas. Drs. Preston and Parekh are from Baylor Scott and White Medical Center Dermatology, Temple, Texas.

The authors have no relevant financial disclosures to report.

Correspondence: Aidan Filley, MD, Texas A&M College of Medicine, Department of Medical Education, 3500 Gaston Ave, 6-Roberts, Dallas, TX 75246 ([email protected]).

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Correspondence: Aidan Filley, MD, Texas A&M College of Medicine, Department of Medical Education, 3500 Gaston Ave, 6-Roberts, Dallas, TX 75246 ([email protected]).

Cutis. 2025 March;115(3):94, 100-101. doi:10.12788/cutis.1175

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The authors have no relevant financial disclosures to report.

Correspondence: Aidan Filley, MD, Texas A&M College of Medicine, Department of Medical Education, 3500 Gaston Ave, 6-Roberts, Dallas, TX 75246 ([email protected]).

Cutis. 2025 March;115(3):94, 100-101. doi:10.12788/cutis.1175

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THE DIAGNOSIS: Poroma

Poromas are benign adnexal neoplasms that often are classified into the broader category of acrospiromas. They most commonly affect areas with a high density of eccrine sweat glands, such as the palms and soles, but also can appear in any area of the body with sweat glands.1 Poromas may have cuboidal eccrine cells with ovoid nuclei and a delicate vascularized stroma on histology or may show apocrinelike features with sebaceous cells.2,3 Immunohistochemically, poromas stain positively for carcinoembryonic antigen, epithelial membrane antigen, and periodic acid–Schiff (PAS) with diastase sensitivity.1,4 Cytokeratin (CK) 1 and CK-10 are expressed in the tumor nests.1

Poromas are the benign counterpart of porocarcinomas, which can recur and may become invasive and metastasize. Porocarcinomas have been shown to undergo malignant transformation from poromas as well as develop de novo.5 Histologic differentiation between the 2 conditions is key in determining excisional margins for treatment and follow-up. Poromas are histologically similar to porocarcinomas, but the latter show invasion into the dermis, nuclear and cytoplasmic pleomorphism, nuclear hyperchromatism, and increased mitotic activity.6 S-100 protein can be positive in porocarcinoma.7 Both poromas and porocarcinomas are associated with Yes-associated protein 1 (YAP1), Mastermind-like protein 2 (MAML2), and NUT midline carcinoma family member 1 (NUTM1) gene fusions.5

Basal cell carcinoma (BCC) is the most common cutaneous malignancy. It rarely metastasizes but can be locally destructive.8 Basal cell carcinomas typically occur on sun-exposed skin in middle-aged and elderly patients and classically manifest as pink or flesh-colored pearly papules with rolled borders and overlying telangiectasia.9 Risk factors for BCC include a chronic sun exposure, lighter skin phenotypes, immunosuppression, and a family history of skin cancer. The 2 most common subtypes of BCC are nodular and superficial, which comprise around 85% of BCCs.10 Histologically, nodular BCCs demonstrate nests of malignant basaloid cells with central disorganization, peripheral palisading, tumor-stroma clefting, and a mucoid stroma with spindle cells (Figure 1). Superficial BCC manifests with small islands of malignant basaloid cells with peripheral palisading that connect with the epidermis, often with a lichenoid inflammatory infiltrate.9 Basal cell carcinomas stain positively for Ber-EP4 and are associated with patched 1 (PTCH1), patched 2 (PTCH2), and tumor protein 53 (TP53) gene mutations.9,11

Filley-1
FIGURE 1. Basal cell carcinoma characterized by basaloid tumor islands with peripheral palisading and tumor-stromal retraction (H&E, original magnification ×20).

Spiradenomas are benign adnexal tumors manifesting as painful, usually singular, 1- to 3-cm nodules in younger adults.12 Histologically, spiradenomas have large clusters of small irregularly shaped aggregations of small basaloid and large polygonal cells with surrounding hyalinized basement membrane material and intratumoral lymphocytes (Figure 2).4 Spiradenomas stain positive for p63, D2-40, and CK7 and are associated with cylindromatosis lysine 63 deubiquitinase (CYLD) and alpha-protein kinase 1 (ALPK1) gene mutations.5

Filley-2
FIGURE 2. Well-circumscribed dermal basophilic tumor with ductal structures, basement membrane material arranged in trabeculae, and scattered lymphocytes throughout in the setting of spiradenoma (H&E, original magnification ×50).

Squamous cell carcinoma (SCC) is the second most common nonmelanoma skin cancer worldwide.13 Lesions typically develop on sun-exposed skin and manifest as red, hyperkeratotic, and sometimes ulcerated plaques or nodules.14 Risk factors for SCC include chronic sun exposure, lighter skin phenotypes, increased age, and immunosuppression. Histologically, there are several variants of SCC: low-risk variants include keratoacanthomas, verrucous carcinomas, and clear cell SCC, and high-risk variants include acantholytic SCC, spindle cell SCC, and adenosquamous carcinoma.14 Generally, low-grade SCC will have well-differentiated or moderately differentiated intercellular bridges or keratin pearls with tumor cells in a solid or sheetlike pattern (Figure 3). High-grade SCC will be poorly differentiated with the presence of infiltrating individual tumor cells.15 Immunohistochemically, SCC stains positive for p63, p40, AE1/AE3, CK5/6, and MNF116 while Ber-Ep4 is negative.14,15 Poorly differentiated SCCs have high rates of mutation, commonly in the tumor protein 53 (TP53), Cyclin-dependent kinase inhibitor 2A (CDKN2A), Ras pathway, and notch receptor 1 (NOTCH-1) genes.13

Filley-3
FIGURE 3. Squamous cell carcinoma manifesting with proliferation of atypical keratinocytes with abundant eosinophilic cytoplasm extending into the dermis and forming keratin pearls (H&E, original magnification ×50).

Syringomas are benign adnexal tumors that manifest as multiple soft, yellow to flesh-colored, 1- to 2-mm papules typically located on the lower eyelids, most commonly in women of reproductive age.16 Syringomas are described on histology as small comma-shaped nests with cords of eosinophilic to clear cells with central ducts surrounded by a sclerotic stroma (Figure 4). They stain positively for carcinoembryonic antigen, epithelial membrane antigen, and CK-5 and are associated with genetic mutations in phosphatidylinositol-4, 5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) and AKT serine/threonine kinase 1 (ATK1).4

Filley-4
FIGURE 4. Syringoma with well-circumscribed proliferation of basaloid, cuboidal, and double-layered epithelial cells forming comma-shaped ducts as well as nests, cysts, and cords located primarily in the papillary dermis (H&E, original magnification ×50).

Due to its regular exposure to sunlight, the eyelid accounts for 5% to 10% of all skin malignancies. Common eyelid lesions include squamous papilloma, seborrheic keratosis, epidermal inclusion cyst, hidrocystoma, intradermal nevus, BCC, SCC, and sebaceous carcinoma.17 Aside from syringomas, benign sweat gland tumors like poromas, hidradenomas, and spiradenomas usually do not manifest on the eyelids but should be included in the differential diagnosis of an unidentifiable lesion due to the small risk for malignant transformation. Eyelid poromas manifest polymorphically, most commonly being clinically diagnosed as BCC, making the histologic examination key for proper diagnosis and management.18

THE DIAGNOSIS: Poroma

Poromas are benign adnexal neoplasms that often are classified into the broader category of acrospiromas. They most commonly affect areas with a high density of eccrine sweat glands, such as the palms and soles, but also can appear in any area of the body with sweat glands.1 Poromas may have cuboidal eccrine cells with ovoid nuclei and a delicate vascularized stroma on histology or may show apocrinelike features with sebaceous cells.2,3 Immunohistochemically, poromas stain positively for carcinoembryonic antigen, epithelial membrane antigen, and periodic acid–Schiff (PAS) with diastase sensitivity.1,4 Cytokeratin (CK) 1 and CK-10 are expressed in the tumor nests.1

Poromas are the benign counterpart of porocarcinomas, which can recur and may become invasive and metastasize. Porocarcinomas have been shown to undergo malignant transformation from poromas as well as develop de novo.5 Histologic differentiation between the 2 conditions is key in determining excisional margins for treatment and follow-up. Poromas are histologically similar to porocarcinomas, but the latter show invasion into the dermis, nuclear and cytoplasmic pleomorphism, nuclear hyperchromatism, and increased mitotic activity.6 S-100 protein can be positive in porocarcinoma.7 Both poromas and porocarcinomas are associated with Yes-associated protein 1 (YAP1), Mastermind-like protein 2 (MAML2), and NUT midline carcinoma family member 1 (NUTM1) gene fusions.5

Basal cell carcinoma (BCC) is the most common cutaneous malignancy. It rarely metastasizes but can be locally destructive.8 Basal cell carcinomas typically occur on sun-exposed skin in middle-aged and elderly patients and classically manifest as pink or flesh-colored pearly papules with rolled borders and overlying telangiectasia.9 Risk factors for BCC include a chronic sun exposure, lighter skin phenotypes, immunosuppression, and a family history of skin cancer. The 2 most common subtypes of BCC are nodular and superficial, which comprise around 85% of BCCs.10 Histologically, nodular BCCs demonstrate nests of malignant basaloid cells with central disorganization, peripheral palisading, tumor-stroma clefting, and a mucoid stroma with spindle cells (Figure 1). Superficial BCC manifests with small islands of malignant basaloid cells with peripheral palisading that connect with the epidermis, often with a lichenoid inflammatory infiltrate.9 Basal cell carcinomas stain positively for Ber-EP4 and are associated with patched 1 (PTCH1), patched 2 (PTCH2), and tumor protein 53 (TP53) gene mutations.9,11

Filley-1
FIGURE 1. Basal cell carcinoma characterized by basaloid tumor islands with peripheral palisading and tumor-stromal retraction (H&E, original magnification ×20).

Spiradenomas are benign adnexal tumors manifesting as painful, usually singular, 1- to 3-cm nodules in younger adults.12 Histologically, spiradenomas have large clusters of small irregularly shaped aggregations of small basaloid and large polygonal cells with surrounding hyalinized basement membrane material and intratumoral lymphocytes (Figure 2).4 Spiradenomas stain positive for p63, D2-40, and CK7 and are associated with cylindromatosis lysine 63 deubiquitinase (CYLD) and alpha-protein kinase 1 (ALPK1) gene mutations.5

Filley-2
FIGURE 2. Well-circumscribed dermal basophilic tumor with ductal structures, basement membrane material arranged in trabeculae, and scattered lymphocytes throughout in the setting of spiradenoma (H&E, original magnification ×50).

Squamous cell carcinoma (SCC) is the second most common nonmelanoma skin cancer worldwide.13 Lesions typically develop on sun-exposed skin and manifest as red, hyperkeratotic, and sometimes ulcerated plaques or nodules.14 Risk factors for SCC include chronic sun exposure, lighter skin phenotypes, increased age, and immunosuppression. Histologically, there are several variants of SCC: low-risk variants include keratoacanthomas, verrucous carcinomas, and clear cell SCC, and high-risk variants include acantholytic SCC, spindle cell SCC, and adenosquamous carcinoma.14 Generally, low-grade SCC will have well-differentiated or moderately differentiated intercellular bridges or keratin pearls with tumor cells in a solid or sheetlike pattern (Figure 3). High-grade SCC will be poorly differentiated with the presence of infiltrating individual tumor cells.15 Immunohistochemically, SCC stains positive for p63, p40, AE1/AE3, CK5/6, and MNF116 while Ber-Ep4 is negative.14,15 Poorly differentiated SCCs have high rates of mutation, commonly in the tumor protein 53 (TP53), Cyclin-dependent kinase inhibitor 2A (CDKN2A), Ras pathway, and notch receptor 1 (NOTCH-1) genes.13

Filley-3
FIGURE 3. Squamous cell carcinoma manifesting with proliferation of atypical keratinocytes with abundant eosinophilic cytoplasm extending into the dermis and forming keratin pearls (H&E, original magnification ×50).

Syringomas are benign adnexal tumors that manifest as multiple soft, yellow to flesh-colored, 1- to 2-mm papules typically located on the lower eyelids, most commonly in women of reproductive age.16 Syringomas are described on histology as small comma-shaped nests with cords of eosinophilic to clear cells with central ducts surrounded by a sclerotic stroma (Figure 4). They stain positively for carcinoembryonic antigen, epithelial membrane antigen, and CK-5 and are associated with genetic mutations in phosphatidylinositol-4, 5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) and AKT serine/threonine kinase 1 (ATK1).4

Filley-4
FIGURE 4. Syringoma with well-circumscribed proliferation of basaloid, cuboidal, and double-layered epithelial cells forming comma-shaped ducts as well as nests, cysts, and cords located primarily in the papillary dermis (H&E, original magnification ×50).

Due to its regular exposure to sunlight, the eyelid accounts for 5% to 10% of all skin malignancies. Common eyelid lesions include squamous papilloma, seborrheic keratosis, epidermal inclusion cyst, hidrocystoma, intradermal nevus, BCC, SCC, and sebaceous carcinoma.17 Aside from syringomas, benign sweat gland tumors like poromas, hidradenomas, and spiradenomas usually do not manifest on the eyelids but should be included in the differential diagnosis of an unidentifiable lesion due to the small risk for malignant transformation. Eyelid poromas manifest polymorphically, most commonly being clinically diagnosed as BCC, making the histologic examination key for proper diagnosis and management.18

References
  1. Patterson J. Weedon’s Skin Pathology. 5th ed. Elsevier Limited; 2021.
  2. Aoki K, Baba S, Nohara T, et al. Eccrine poroma. J Dermatol. 1980; 7:263-269. doi:10.1111/j.1346-8138.1980.tb01967.x
  3. Harvell JD, Kerschmann RL, LeBoit PE. Eccrine or apocrine poroma? six poromas with divergent adnexal differentiation. Am J Dermatopathol. 1996;18:1-9. doi:10.1097/00000372-199602000-00001
  4. Miller AC, Adjei S, Temiz LA, et al. Dermal duct tumor: a diagnostic dilemma. Dermatopathology. 2022;9:36-47. doi:10.3390
  5. Macagno N, Sohier P, Kervarrec T, et al. Recent advances on immunohistochemistry and molecular biology for the diagnosis of adnexal sweat gland tumors. Cancers. 2022;14:476. doi:10.3390/cancers14030476
  6. Robson A, Greene J, Ansari N, et al. Eccrine porocarcinoma (malignant eccrine poroma): a clinicopathologic study of 69 cases. Am J Surg Pathol. 2001;25:710-720. doi:10.1097/00000478-200106000-00002 /dermatopathology9010007
  7. Kurisu Y, Tsuji M, Yasuda E, et al. A case of eccrine porocarcinoma: usefulness of immunostain for S-100 protein in the diagnoses of recurrent and metastatic dedifferentiated lesions. Ann Dermatol. 2013;25:348-351. doi:10.5021/ad.2013.25.3.348
  8. Stanoszek LM, Wang GY, Harms PW. Histologic mimics of basal cell carcinoma. Arch Pathol Lab Med. 2017;141:1490-1502. doi:10.5858 /arpa.2017-0222-RA
  9. Niculet E, Craescu M, Rebegea L, et al. Basal cell carcinoma: comprehensive clinical and histopathological aspects, novel imaging tools and therapeutic approaches (review). Exp Ther Med. 2022;23:60. doi:10.3892/etm.2021.10982
  10. Pelucchi C, Di Landro A, Naldi L, et al. Risk factors for histological types and anatomic sites of cutaneous basal-cell carcinoma: an Italian case-control study. J Invest Dermatol. 2007;127:935-944. doi:10.1038/sj.jid.5700598
  11. Sunjaya AP, Sunjaya AF, Tan ST. The use of BEREP4 immunohistochemistry staining for detection of basal cell carcinoma. J Skin Cancer. 2017;2017:2692604. doi:10.1155/2017/2692604
  12. Kim J, Yang HJ, Pyo JS. Eccrine spiradenoma of the scalp. Arch Craniofacial Surg. 2017;18:211-213. doi:10.7181/acfs.2017.18.3.211
  13. Que SKT, Zwald FO, Schmults CD. Cutaneous squamous cell carcinoma: incidence, risk factors, diagnosis, and staging. J Am Acad Dermatol. 2018;78:237-247. doi:10.1016/j.jaad.2017.08.059
  14. Waldman A, Schmults C. Cutaneous squamous cell carcinoma. Hematol Oncol Clin North Am. 2019;33:1-12. doi:10.1016/j.hoc.2018.08.001
  15. Yanofsky VR, Mercer SE, Phelps RG. Histopathological variants of cutaneous squamous cell carcinoma: a review. J Skin Cancer. 2011;2011:210813. doi:10.1155/2011/210813
  16. Lee JH, Chang JY, Lee KH. Syringoma: a clinicopathologic and immunohistologic study and results of treatment. Yonsei Med J. 2007;48:35-40. doi:10.3349/ymj.2007.48.1.35
  17. Adamski WZ, Maciejewski J, Adamska K, et al. The prevalence of various eyelid skin lesions in a single-centre observation study. Adv Dermatol Allergol Dermatol Alergol. 2021;38:804-807. doi:10.5114 /ada.2020.95652
  18. Mencía-Gutiérrez E, Navarro-Perea C, Gutiérrez-Díaz E, et al. Eyelid eccrine poroma: a case report and review of literature. Cureus. 202:12:E8906. doi:10.7759/cureus.8906
References
  1. Patterson J. Weedon’s Skin Pathology. 5th ed. Elsevier Limited; 2021.
  2. Aoki K, Baba S, Nohara T, et al. Eccrine poroma. J Dermatol. 1980; 7:263-269. doi:10.1111/j.1346-8138.1980.tb01967.x
  3. Harvell JD, Kerschmann RL, LeBoit PE. Eccrine or apocrine poroma? six poromas with divergent adnexal differentiation. Am J Dermatopathol. 1996;18:1-9. doi:10.1097/00000372-199602000-00001
  4. Miller AC, Adjei S, Temiz LA, et al. Dermal duct tumor: a diagnostic dilemma. Dermatopathology. 2022;9:36-47. doi:10.3390
  5. Macagno N, Sohier P, Kervarrec T, et al. Recent advances on immunohistochemistry and molecular biology for the diagnosis of adnexal sweat gland tumors. Cancers. 2022;14:476. doi:10.3390/cancers14030476
  6. Robson A, Greene J, Ansari N, et al. Eccrine porocarcinoma (malignant eccrine poroma): a clinicopathologic study of 69 cases. Am J Surg Pathol. 2001;25:710-720. doi:10.1097/00000478-200106000-00002 /dermatopathology9010007
  7. Kurisu Y, Tsuji M, Yasuda E, et al. A case of eccrine porocarcinoma: usefulness of immunostain for S-100 protein in the diagnoses of recurrent and metastatic dedifferentiated lesions. Ann Dermatol. 2013;25:348-351. doi:10.5021/ad.2013.25.3.348
  8. Stanoszek LM, Wang GY, Harms PW. Histologic mimics of basal cell carcinoma. Arch Pathol Lab Med. 2017;141:1490-1502. doi:10.5858 /arpa.2017-0222-RA
  9. Niculet E, Craescu M, Rebegea L, et al. Basal cell carcinoma: comprehensive clinical and histopathological aspects, novel imaging tools and therapeutic approaches (review). Exp Ther Med. 2022;23:60. doi:10.3892/etm.2021.10982
  10. Pelucchi C, Di Landro A, Naldi L, et al. Risk factors for histological types and anatomic sites of cutaneous basal-cell carcinoma: an Italian case-control study. J Invest Dermatol. 2007;127:935-944. doi:10.1038/sj.jid.5700598
  11. Sunjaya AP, Sunjaya AF, Tan ST. The use of BEREP4 immunohistochemistry staining for detection of basal cell carcinoma. J Skin Cancer. 2017;2017:2692604. doi:10.1155/2017/2692604
  12. Kim J, Yang HJ, Pyo JS. Eccrine spiradenoma of the scalp. Arch Craniofacial Surg. 2017;18:211-213. doi:10.7181/acfs.2017.18.3.211
  13. Que SKT, Zwald FO, Schmults CD. Cutaneous squamous cell carcinoma: incidence, risk factors, diagnosis, and staging. J Am Acad Dermatol. 2018;78:237-247. doi:10.1016/j.jaad.2017.08.059
  14. Waldman A, Schmults C. Cutaneous squamous cell carcinoma. Hematol Oncol Clin North Am. 2019;33:1-12. doi:10.1016/j.hoc.2018.08.001
  15. Yanofsky VR, Mercer SE, Phelps RG. Histopathological variants of cutaneous squamous cell carcinoma: a review. J Skin Cancer. 2011;2011:210813. doi:10.1155/2011/210813
  16. Lee JH, Chang JY, Lee KH. Syringoma: a clinicopathologic and immunohistologic study and results of treatment. Yonsei Med J. 2007;48:35-40. doi:10.3349/ymj.2007.48.1.35
  17. Adamski WZ, Maciejewski J, Adamska K, et al. The prevalence of various eyelid skin lesions in a single-centre observation study. Adv Dermatol Allergol Dermatol Alergol. 2021;38:804-807. doi:10.5114 /ada.2020.95652
  18. Mencía-Gutiérrez E, Navarro-Perea C, Gutiérrez-Díaz E, et al. Eyelid eccrine poroma: a case report and review of literature. Cureus. 202:12:E8906. doi:10.7759/cureus.8906
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Pink Papule on the Lower Eyelid

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A 57-year-old man with no notable medical history presented to the dermatology clinic for evaluation of an asymptomatic papule on the left lower eyelid. The patient reported that the lesion seemed to wax and wane in size over time. Physical examination revealed a small, pink, verrucous papule on the left lower eyelid. A shave biopsy of the lesion revealed a well-circumscribed collection of small, monomorphic, cuboidal cells with basophilic round nuclei, inconspicuous nucleoli, and compact eosinophilic cytoplasm (top) with focal areas of duct formation (bottom) that was sharply demarcated from normal keratinocytes.

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A Veteran Presenting With Symptomatic Postprandial Episodes

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A Veteran Presenting With Symptomatic Postprandial Episodes

Idiopathic postprandial syndrome (IPP), initially termed reactive hypoglycemia, presents with hypoglycemic-like symptoms in the absence of biochemical hypoglycemia and remains a diagnosis of exclusion. Its pathophysiology is poorly understood. The diagnosis requires thorough evaluation of cardiac, metabolic, neurologic, and gastrointestinal causes, as well as Whipple triad criteria. Dietary modifications, including reduced carbohydrate intake, increased protein and fiber, and frequent small meals, remain the cornerstone of IPP management. Continuous glucose monitoring (CGM) may be a useful adjunct in correlating symptoms with glucose trends, but its role is still evolving.

In the evaluation of patients with symptoms suggestive of hypoglycemia (Figure 1), patients should first be assessed for Whipple triad: symptoms consistent with hypoglycemia, blood glucose level < 55 mg/dL, and reversal of symptoms with glucose.1 Patients who meet Whipple triad criteria should be investigated to identify further etiologies of hypoglycemia. They may include insulinoma, medication-induced (insulin, sulfonylurea, meglitinide, or β blocker use), postbariatric surgery complications, noninsulinoma pancreatogenous hypoglycemia syndrome, ackee fruit consumption, or familial conditions.2 The presence of hypoglycemic symptoms in the postprandial or fasting state can provide valuable insights into underlying etiology. 

Patients who do not meet Whipple triad criteria, but exhibit postprandial symptoms consistent with hypoglycemia, as in this case, present a diagnostic dilemma. IPP is defined as hypoglycemic symptoms occuring after carbohydrate ingestion without biochemical hypoglycemia. Initially termed reactive hypoglycemia, it was renamed in 1981to reflect the absence of low blood glucose levels.3

The understanding of this diagnosis has not significantly progressed since the 1980s. Its prevalence, incidence, risk factors, and societal burden remain unclear. IPP is a challenging diagnosis due to nonspecific symptoms that overlap with a myriad of conditions. These symptoms may include adrenergic symptoms such as diaphoresis, tremulousness, palpitations, anxiety, and hunger. Potentially severe neuroglycopenic symptoms, including weakness, dizziness, behavior changes, confusion, and coma, are not typically observed.4 Given that objective criteria are not well established, IPP remains a diagnosis of exclusion. It is imperative to rule out alternative etiologies, particularly cardiac, gastrointestinal, and neurologic causes.

CASE PRESENTATION

A male aged 41 years presented to primary care for evaluation of acute on chronic symptomatic postprandial episodes. He reported a history of symptomatic sinus bradycardia in the setting of sick sinus syndrome following dual-chamber pacemaker placement, posttraumatic stress disorder, and gastroesophageal reflux disease. He was a retired Navy sailor without any known occupational exposures who worked in the real estate industry. The patient reported feeling lightheaded, tremulous, and anxious most afternoons after lunch for several years. He also reported that meals heavy in carbohydrates exacerbated his symptoms, whereas skipping meals or lying down alleviated his symptoms. The patient also reported concomitant arm numbness, shortness of breath, palpitations, and nausea during these episodes. Review of systems was otherwise negative, including no weight changes, fever, chills, night sweats, chest pain, or syncope.

The patient’s medications included ferrous sulfate 325 mg once every other day, bupropion 200 mg once daily, metoprolol succinate 25 mg once daily, and as-needed lorazepam 1 mg once daily. The patient reported no current substance use but reported previous tobacco use 3 years prior (maximum 1 pack/week) and alcohol use 5 years prior (750 ml/day for 15 years). The patient did not exercise and typically ate oatmeal for breakfast, a sandwich or salad for lunch, and taquitos or salad for dinner, with snacks throughout the day. Notable family history included a maternal grandmother with colon cancer. The patient’s vital signs included a 36.8 °C temperature, heart rate 87 beats/min, 118/71 mm Hg blood pressure, oxygen saturation 98% on room air, 125.2 kg weight, and 38.5 body mass index. There were no orthostatic vital sign changes. A physical examination demonstrated obesity with an unremarkable cardiopulmonary and volume examination. 

Additional testing included Gallium-68 dototate positron emission tomography/computed tomography, brain magnetic resonance imaging, echocardiogram, electromyogram, exercise tolerance test, Holter monitoring, invasive cardiopulmonary exercise testing, pacemaker interrogation, pulmonary function testing, stress echocardiogram, tilt table test, and venogram computed tomography of the chest, but the results were unremarkable (Appendix). His afternoon nonfasting glucose level was 138 mg/dL with a concurrent hemoglobin A1c of 5.2%. The patient had a fasting C-peptide level of 3.7 ng/mL (reference range 0.5-2.0 ng/mL), fasting insulin level 19.1 mIU/L (reference range < 25 mIU/L), and a fasting glucose level of 93 mg/dL (reference range 70-99 mg/dL). The patient’s urine 5-HIAA, plasma metanephrines, urine metanephrines, insulin-like growth factor 1, prolactin, corticotropin, fasting cortisol, and thyrotropin yielded results within reference ranges (Table). The veteran was prescribed a CGM, which demonstrated normal glucose levels (≥ 55 mg/dL) during symptomatic episodes (Figure 2).



The patient was diagnosed with IPP given normoglycemia, exclusion of alternative diagnoses, and symptomatic improvement with dietary changes. He was referred to a nutritionist for a high-protein, high-fiber, and low-carbohydrate diet.

DISCUSSION

Seemingly simple diagnostic tools can lead to diagnostic pitfalls. Home glucose monitoring with the use of a standard glucometer during an episode is the typical first step in identifying hypoglycemia, as it is both pragmatic and accurate, with a mean absolute relative difference (MARD) of about 10% in hypoglycemic ranges.5 While the advent of CGM provides real-time data and can reveal clinically relevant fluctuations, it reveals mild hypoglycemia (54 to 70 mg/dL) of no clinical significance in a large proportion of individuals.

Additionally, CGM is less accurate than glucometers with a MARD of about 20% in hypoglycemia ranges.6 CGM technology, however, is rapidly evolving and undergoing further investigation for hypoglycemia detection. Therefore, CGM may be considered in select patients as prospective study results are established; the newest CGMs have MARDs very similar to fingerstick blood glucose data.7,8 In the patient described in this case, CGM helped corroborate the diagnosis, given that symptomatic episodes correlated with lower glucose levels. Provocative testing with oral glucose tolerance testing can frequently result in false positive hypoglycemic readings and is not recommended.9 Supervised mixed meal testing can also be used, which entails monitoring after consuming a mixed macronutrient meal. The test concludes after hypoglycemic symptoms develop or 5 hours elapse, whichever occurs first.1

 

The pathophysiology of IPP is poorly understood. Proposed mechanisms include increased insulin sensitivity, increased adrenergic sensitivity, impaired glucagon regulation, emotional distress, insulin resistance, and increased glucagon-like peptide-1 production.10-13 Research suggests this may occur as pancreatic β cells fail in early type 2 diabetes mellitus, with diminished first-phase insulin release leading to an initial exuberant rise in blood glucose, an overshooting of the second phase of insulin secretion, and the feeling of the postprandial blood glucose falling, even though the final glucose level achieved is not truly low.13 There are contradictory studies in the literature demonstrating no association between insulin resistance and hypoglycemic symptoms.14 In 2022, Kosuda and colleagues looked at homeostatic model assessment for insulin resistance in patients with postprandial syndrome. They found that the patients were slightly insulin resistant but had normal or exaggerated insulin secretory capacity compared to an oral glucose load, whereas glucagon levels were robustly suppressed by a glucose load. The observed hormonal responses may result in the glycemic patterns and symptoms observed; further study is warranted to elucidate the mechanism.15

Dietary modification is the cornerstone treatment for postprandial syndrome, including reduced carbohydrate intake, increased protein and fiber intake, and more frequent and smaller meals. There is also evidence that a Mediterranean diet may be beneficial for managing hypoglycemic symptoms.16 Furthermore, α-glucosidase inhibitors, whose mechanism of action delays the digestion of carbohydrates, have demonstrated promise. This medication class has demonstrated significance in raising postprandial glucose levels and alleviating hypoglycemic symptoms in patients with true postprandial hypoglycemia.17

CONCLUSIONS

IPP is a benign diagnosis encompassing hypoglycemic symptoms without biochemical hypoglycemia. It is not a true hypoglycemic disorder. IPP is challenging to diagnose, given that it is an interpretation of exclusion, supported by symptom improvement with dietary changes (ie, reduced carbohydrate intake, increased protein and fiber intake, and more frequent and smaller meals). Supervised mixed meal testing or CGM can be used to assist with diagnosis. Even though CGM is undergoing further study in this patient population, it corroborated the diagnosis in the patient described in this case.

For hypoglycemic symptoms, physicians should first assess for evidence of Whipple triad to evaluate for true biochemical hypoglycemia. For true hypoglycemia (< 55 mg/dL), physicians may conduct an examination in conjunction with an endocrinologist. For normoglycemia (≥ 55 mg/dL), physicians should first exclude alternative etiologies (including cardiac and neurologic), and subsequently consider IPP.

References
  1. Bansal N, Weinstock RS. Non-Diabetic Hypoglycemia. In: Feingold KR, Anawalt B, Blackman MR, et al, eds. Endotext. MDText.com, Inc.; 2000.

  2. Service FJ. Hypoglycemic disorders. New Engl J Med. 1995;332(17):1144-1152.doi:10.1056/NEJM199504273321707

  3. Charles MA, Hofeldt F, Shackelford A, et al. Comparison of oral glucose tolerance tests and mixed meals in patients with apparent idiopathic postabsorptive hypoglycemia: absence of hypoglycemia after meals. Diabetes. 1981;30(6):465-470.

  4. Douillard C, Jannin A, Vantyghem MC. Rare causes of hypoglycemia in adults. Ann Endocrinol (Paris). 2020;81(2-3):110-117. doi:10.1016/j.ando.2020.04.003

  5. Ekhlaspour L, Mondesir D, Lautsch N, et al. Comparative accuracy of 17 point-of-care glucose meters. J Diabetes Sci Technol. 2017;11(3):558-566. doi:10.1177/1932296816672237

  6. Alitta Q, Grino M, Adjemout L, Langar A, Retornaz F, Oliver C. Overestimation of hypoglycemia diagnosis by FreeStyle Libre continuous glucose monitoring in long-term care home residents with diabetes. J Diabetes Sci Technol. 2018;12(3):727-728. doi:10.1177/1932296817747887

  7. Mongraw-Chaffin M, Beavers DP, McClain DA. Hypoglycemic symptoms in the absence of diabetes: pilot evidence of clinical hypoglycemia in young women. J Clin Transl Endocrinol. 2019;18:100202. doi:10.1016/j.jcte.2019.100202 

  8. Shah VN, DuBose SN, Li Z, et al. Continuous glucose monitoring profiles in healthy nondiabetic participants: a multicenter prospective study. J Clin Endocrinol Metab. 2019;104(10):4356-4364. doi:10.1210/jc.2018-02763

  9. Cryer PE, Axelrod L, Grossman AB, et al. Evaluation and management of adult hypoglycemic disorders: an endocrine society clinical practice guideline. J Clin Endocrinol Metab. 2009;94(3):709-728. doi:10.1210/jc.2008-1410

  10. Galati SJ, Rayfield EJ. Approach to the patient with postprandial hypoglycemia. Endocr Pract. 2014;20(4):331-340. doi:10.4158/EP13132.RA

  11. Altuntas Y. Postprandial reactive hypoglycemia. Sisli Etfal Hastan Tip Bul. 2019;53(3):215-220.doi:10.14744/SEMB.2019.59455

  12. HARRIS S. HYPERINSULINISM AND DYSINSULINISM. JAMA. 1924;83(10):729-733.doi:10.1001/jama.1924.02660100003002

  13. Harris S. HYPERINSULINISM AND DYSINSULINISM (INSULOGENIC HYPOGLYCBMIA). Endocrinology. 1932;16(1):29-42. doi:10.1210/endo-16-1-29

  14. Hall M, Walicka M, Panczyk M, Traczyk I. Metabolic parameters in patients with suspected reactive hypoglycemia. J Pers Med. 2021;11(4):276. doi:10.3390/jpm11040276

  15. Kosuda M, Watanabe K, Koike M, et al. Glucagon response to glucose challenge in patients with idiopathic postprandial syndrome. J Nippon Med Sch. 2022;89(1):102-107. doi:10.1272/jnms.JNMS.2022_89-205

  16. Hall M, Walicka M, Panczyk M, Traczyk I. Assessing long-term impact of dietary interventions on occurrence of symptoms consistent with hypoglycemia in patients without diabetes: a one-year follow-up study. Nutrients. 2022;14(3):497. doi:10.3390/nu14030497

  17. Ozgen AG, Hamulu F, Bayraktar F, et al. Long-term treatment with acarbose for the treatment of reactive hypoglycemia. Eat Weight Disord. 1998;3(3):136-140. doi:10.1007/BF03340001

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Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. 

Ethics and consent

The patient described in this case report gave verbal and written informed consent.

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Author affiliations

aUniversity of California Los Angeles Geffen School of MedicinebWest Los Angeles Veterans Affairs Medical Center, California

Author disclosures

The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. 

Ethics and consent

The patient described in this case report gave verbal and written informed consent.

Idiopathic postprandial syndrome (IPP), initially termed reactive hypoglycemia, presents with hypoglycemic-like symptoms in the absence of biochemical hypoglycemia and remains a diagnosis of exclusion. Its pathophysiology is poorly understood. The diagnosis requires thorough evaluation of cardiac, metabolic, neurologic, and gastrointestinal causes, as well as Whipple triad criteria. Dietary modifications, including reduced carbohydrate intake, increased protein and fiber, and frequent small meals, remain the cornerstone of IPP management. Continuous glucose monitoring (CGM) may be a useful adjunct in correlating symptoms with glucose trends, but its role is still evolving.

In the evaluation of patients with symptoms suggestive of hypoglycemia (Figure 1), patients should first be assessed for Whipple triad: symptoms consistent with hypoglycemia, blood glucose level < 55 mg/dL, and reversal of symptoms with glucose.1 Patients who meet Whipple triad criteria should be investigated to identify further etiologies of hypoglycemia. They may include insulinoma, medication-induced (insulin, sulfonylurea, meglitinide, or β blocker use), postbariatric surgery complications, noninsulinoma pancreatogenous hypoglycemia syndrome, ackee fruit consumption, or familial conditions.2 The presence of hypoglycemic symptoms in the postprandial or fasting state can provide valuable insights into underlying etiology. 

Patients who do not meet Whipple triad criteria, but exhibit postprandial symptoms consistent with hypoglycemia, as in this case, present a diagnostic dilemma. IPP is defined as hypoglycemic symptoms occuring after carbohydrate ingestion without biochemical hypoglycemia. Initially termed reactive hypoglycemia, it was renamed in 1981to reflect the absence of low blood glucose levels.3

The understanding of this diagnosis has not significantly progressed since the 1980s. Its prevalence, incidence, risk factors, and societal burden remain unclear. IPP is a challenging diagnosis due to nonspecific symptoms that overlap with a myriad of conditions. These symptoms may include adrenergic symptoms such as diaphoresis, tremulousness, palpitations, anxiety, and hunger. Potentially severe neuroglycopenic symptoms, including weakness, dizziness, behavior changes, confusion, and coma, are not typically observed.4 Given that objective criteria are not well established, IPP remains a diagnosis of exclusion. It is imperative to rule out alternative etiologies, particularly cardiac, gastrointestinal, and neurologic causes.

CASE PRESENTATION

A male aged 41 years presented to primary care for evaluation of acute on chronic symptomatic postprandial episodes. He reported a history of symptomatic sinus bradycardia in the setting of sick sinus syndrome following dual-chamber pacemaker placement, posttraumatic stress disorder, and gastroesophageal reflux disease. He was a retired Navy sailor without any known occupational exposures who worked in the real estate industry. The patient reported feeling lightheaded, tremulous, and anxious most afternoons after lunch for several years. He also reported that meals heavy in carbohydrates exacerbated his symptoms, whereas skipping meals or lying down alleviated his symptoms. The patient also reported concomitant arm numbness, shortness of breath, palpitations, and nausea during these episodes. Review of systems was otherwise negative, including no weight changes, fever, chills, night sweats, chest pain, or syncope.

The patient’s medications included ferrous sulfate 325 mg once every other day, bupropion 200 mg once daily, metoprolol succinate 25 mg once daily, and as-needed lorazepam 1 mg once daily. The patient reported no current substance use but reported previous tobacco use 3 years prior (maximum 1 pack/week) and alcohol use 5 years prior (750 ml/day for 15 years). The patient did not exercise and typically ate oatmeal for breakfast, a sandwich or salad for lunch, and taquitos or salad for dinner, with snacks throughout the day. Notable family history included a maternal grandmother with colon cancer. The patient’s vital signs included a 36.8 °C temperature, heart rate 87 beats/min, 118/71 mm Hg blood pressure, oxygen saturation 98% on room air, 125.2 kg weight, and 38.5 body mass index. There were no orthostatic vital sign changes. A physical examination demonstrated obesity with an unremarkable cardiopulmonary and volume examination. 

Additional testing included Gallium-68 dototate positron emission tomography/computed tomography, brain magnetic resonance imaging, echocardiogram, electromyogram, exercise tolerance test, Holter monitoring, invasive cardiopulmonary exercise testing, pacemaker interrogation, pulmonary function testing, stress echocardiogram, tilt table test, and venogram computed tomography of the chest, but the results were unremarkable (Appendix). His afternoon nonfasting glucose level was 138 mg/dL with a concurrent hemoglobin A1c of 5.2%. The patient had a fasting C-peptide level of 3.7 ng/mL (reference range 0.5-2.0 ng/mL), fasting insulin level 19.1 mIU/L (reference range < 25 mIU/L), and a fasting glucose level of 93 mg/dL (reference range 70-99 mg/dL). The patient’s urine 5-HIAA, plasma metanephrines, urine metanephrines, insulin-like growth factor 1, prolactin, corticotropin, fasting cortisol, and thyrotropin yielded results within reference ranges (Table). The veteran was prescribed a CGM, which demonstrated normal glucose levels (≥ 55 mg/dL) during symptomatic episodes (Figure 2).



The patient was diagnosed with IPP given normoglycemia, exclusion of alternative diagnoses, and symptomatic improvement with dietary changes. He was referred to a nutritionist for a high-protein, high-fiber, and low-carbohydrate diet.

DISCUSSION

Seemingly simple diagnostic tools can lead to diagnostic pitfalls. Home glucose monitoring with the use of a standard glucometer during an episode is the typical first step in identifying hypoglycemia, as it is both pragmatic and accurate, with a mean absolute relative difference (MARD) of about 10% in hypoglycemic ranges.5 While the advent of CGM provides real-time data and can reveal clinically relevant fluctuations, it reveals mild hypoglycemia (54 to 70 mg/dL) of no clinical significance in a large proportion of individuals.

Additionally, CGM is less accurate than glucometers with a MARD of about 20% in hypoglycemia ranges.6 CGM technology, however, is rapidly evolving and undergoing further investigation for hypoglycemia detection. Therefore, CGM may be considered in select patients as prospective study results are established; the newest CGMs have MARDs very similar to fingerstick blood glucose data.7,8 In the patient described in this case, CGM helped corroborate the diagnosis, given that symptomatic episodes correlated with lower glucose levels. Provocative testing with oral glucose tolerance testing can frequently result in false positive hypoglycemic readings and is not recommended.9 Supervised mixed meal testing can also be used, which entails monitoring after consuming a mixed macronutrient meal. The test concludes after hypoglycemic symptoms develop or 5 hours elapse, whichever occurs first.1

 

The pathophysiology of IPP is poorly understood. Proposed mechanisms include increased insulin sensitivity, increased adrenergic sensitivity, impaired glucagon regulation, emotional distress, insulin resistance, and increased glucagon-like peptide-1 production.10-13 Research suggests this may occur as pancreatic β cells fail in early type 2 diabetes mellitus, with diminished first-phase insulin release leading to an initial exuberant rise in blood glucose, an overshooting of the second phase of insulin secretion, and the feeling of the postprandial blood glucose falling, even though the final glucose level achieved is not truly low.13 There are contradictory studies in the literature demonstrating no association between insulin resistance and hypoglycemic symptoms.14 In 2022, Kosuda and colleagues looked at homeostatic model assessment for insulin resistance in patients with postprandial syndrome. They found that the patients were slightly insulin resistant but had normal or exaggerated insulin secretory capacity compared to an oral glucose load, whereas glucagon levels were robustly suppressed by a glucose load. The observed hormonal responses may result in the glycemic patterns and symptoms observed; further study is warranted to elucidate the mechanism.15

Dietary modification is the cornerstone treatment for postprandial syndrome, including reduced carbohydrate intake, increased protein and fiber intake, and more frequent and smaller meals. There is also evidence that a Mediterranean diet may be beneficial for managing hypoglycemic symptoms.16 Furthermore, α-glucosidase inhibitors, whose mechanism of action delays the digestion of carbohydrates, have demonstrated promise. This medication class has demonstrated significance in raising postprandial glucose levels and alleviating hypoglycemic symptoms in patients with true postprandial hypoglycemia.17

CONCLUSIONS

IPP is a benign diagnosis encompassing hypoglycemic symptoms without biochemical hypoglycemia. It is not a true hypoglycemic disorder. IPP is challenging to diagnose, given that it is an interpretation of exclusion, supported by symptom improvement with dietary changes (ie, reduced carbohydrate intake, increased protein and fiber intake, and more frequent and smaller meals). Supervised mixed meal testing or CGM can be used to assist with diagnosis. Even though CGM is undergoing further study in this patient population, it corroborated the diagnosis in the patient described in this case.

For hypoglycemic symptoms, physicians should first assess for evidence of Whipple triad to evaluate for true biochemical hypoglycemia. For true hypoglycemia (< 55 mg/dL), physicians may conduct an examination in conjunction with an endocrinologist. For normoglycemia (≥ 55 mg/dL), physicians should first exclude alternative etiologies (including cardiac and neurologic), and subsequently consider IPP.

Idiopathic postprandial syndrome (IPP), initially termed reactive hypoglycemia, presents with hypoglycemic-like symptoms in the absence of biochemical hypoglycemia and remains a diagnosis of exclusion. Its pathophysiology is poorly understood. The diagnosis requires thorough evaluation of cardiac, metabolic, neurologic, and gastrointestinal causes, as well as Whipple triad criteria. Dietary modifications, including reduced carbohydrate intake, increased protein and fiber, and frequent small meals, remain the cornerstone of IPP management. Continuous glucose monitoring (CGM) may be a useful adjunct in correlating symptoms with glucose trends, but its role is still evolving.

In the evaluation of patients with symptoms suggestive of hypoglycemia (Figure 1), patients should first be assessed for Whipple triad: symptoms consistent with hypoglycemia, blood glucose level < 55 mg/dL, and reversal of symptoms with glucose.1 Patients who meet Whipple triad criteria should be investigated to identify further etiologies of hypoglycemia. They may include insulinoma, medication-induced (insulin, sulfonylurea, meglitinide, or β blocker use), postbariatric surgery complications, noninsulinoma pancreatogenous hypoglycemia syndrome, ackee fruit consumption, or familial conditions.2 The presence of hypoglycemic symptoms in the postprandial or fasting state can provide valuable insights into underlying etiology. 

Patients who do not meet Whipple triad criteria, but exhibit postprandial symptoms consistent with hypoglycemia, as in this case, present a diagnostic dilemma. IPP is defined as hypoglycemic symptoms occuring after carbohydrate ingestion without biochemical hypoglycemia. Initially termed reactive hypoglycemia, it was renamed in 1981to reflect the absence of low blood glucose levels.3

The understanding of this diagnosis has not significantly progressed since the 1980s. Its prevalence, incidence, risk factors, and societal burden remain unclear. IPP is a challenging diagnosis due to nonspecific symptoms that overlap with a myriad of conditions. These symptoms may include adrenergic symptoms such as diaphoresis, tremulousness, palpitations, anxiety, and hunger. Potentially severe neuroglycopenic symptoms, including weakness, dizziness, behavior changes, confusion, and coma, are not typically observed.4 Given that objective criteria are not well established, IPP remains a diagnosis of exclusion. It is imperative to rule out alternative etiologies, particularly cardiac, gastrointestinal, and neurologic causes.

CASE PRESENTATION

A male aged 41 years presented to primary care for evaluation of acute on chronic symptomatic postprandial episodes. He reported a history of symptomatic sinus bradycardia in the setting of sick sinus syndrome following dual-chamber pacemaker placement, posttraumatic stress disorder, and gastroesophageal reflux disease. He was a retired Navy sailor without any known occupational exposures who worked in the real estate industry. The patient reported feeling lightheaded, tremulous, and anxious most afternoons after lunch for several years. He also reported that meals heavy in carbohydrates exacerbated his symptoms, whereas skipping meals or lying down alleviated his symptoms. The patient also reported concomitant arm numbness, shortness of breath, palpitations, and nausea during these episodes. Review of systems was otherwise negative, including no weight changes, fever, chills, night sweats, chest pain, or syncope.

The patient’s medications included ferrous sulfate 325 mg once every other day, bupropion 200 mg once daily, metoprolol succinate 25 mg once daily, and as-needed lorazepam 1 mg once daily. The patient reported no current substance use but reported previous tobacco use 3 years prior (maximum 1 pack/week) and alcohol use 5 years prior (750 ml/day for 15 years). The patient did not exercise and typically ate oatmeal for breakfast, a sandwich or salad for lunch, and taquitos or salad for dinner, with snacks throughout the day. Notable family history included a maternal grandmother with colon cancer. The patient’s vital signs included a 36.8 °C temperature, heart rate 87 beats/min, 118/71 mm Hg blood pressure, oxygen saturation 98% on room air, 125.2 kg weight, and 38.5 body mass index. There were no orthostatic vital sign changes. A physical examination demonstrated obesity with an unremarkable cardiopulmonary and volume examination. 

Additional testing included Gallium-68 dototate positron emission tomography/computed tomography, brain magnetic resonance imaging, echocardiogram, electromyogram, exercise tolerance test, Holter monitoring, invasive cardiopulmonary exercise testing, pacemaker interrogation, pulmonary function testing, stress echocardiogram, tilt table test, and venogram computed tomography of the chest, but the results were unremarkable (Appendix). His afternoon nonfasting glucose level was 138 mg/dL with a concurrent hemoglobin A1c of 5.2%. The patient had a fasting C-peptide level of 3.7 ng/mL (reference range 0.5-2.0 ng/mL), fasting insulin level 19.1 mIU/L (reference range < 25 mIU/L), and a fasting glucose level of 93 mg/dL (reference range 70-99 mg/dL). The patient’s urine 5-HIAA, plasma metanephrines, urine metanephrines, insulin-like growth factor 1, prolactin, corticotropin, fasting cortisol, and thyrotropin yielded results within reference ranges (Table). The veteran was prescribed a CGM, which demonstrated normal glucose levels (≥ 55 mg/dL) during symptomatic episodes (Figure 2).



The patient was diagnosed with IPP given normoglycemia, exclusion of alternative diagnoses, and symptomatic improvement with dietary changes. He was referred to a nutritionist for a high-protein, high-fiber, and low-carbohydrate diet.

DISCUSSION

Seemingly simple diagnostic tools can lead to diagnostic pitfalls. Home glucose monitoring with the use of a standard glucometer during an episode is the typical first step in identifying hypoglycemia, as it is both pragmatic and accurate, with a mean absolute relative difference (MARD) of about 10% in hypoglycemic ranges.5 While the advent of CGM provides real-time data and can reveal clinically relevant fluctuations, it reveals mild hypoglycemia (54 to 70 mg/dL) of no clinical significance in a large proportion of individuals.

Additionally, CGM is less accurate than glucometers with a MARD of about 20% in hypoglycemia ranges.6 CGM technology, however, is rapidly evolving and undergoing further investigation for hypoglycemia detection. Therefore, CGM may be considered in select patients as prospective study results are established; the newest CGMs have MARDs very similar to fingerstick blood glucose data.7,8 In the patient described in this case, CGM helped corroborate the diagnosis, given that symptomatic episodes correlated with lower glucose levels. Provocative testing with oral glucose tolerance testing can frequently result in false positive hypoglycemic readings and is not recommended.9 Supervised mixed meal testing can also be used, which entails monitoring after consuming a mixed macronutrient meal. The test concludes after hypoglycemic symptoms develop or 5 hours elapse, whichever occurs first.1

 

The pathophysiology of IPP is poorly understood. Proposed mechanisms include increased insulin sensitivity, increased adrenergic sensitivity, impaired glucagon regulation, emotional distress, insulin resistance, and increased glucagon-like peptide-1 production.10-13 Research suggests this may occur as pancreatic β cells fail in early type 2 diabetes mellitus, with diminished first-phase insulin release leading to an initial exuberant rise in blood glucose, an overshooting of the second phase of insulin secretion, and the feeling of the postprandial blood glucose falling, even though the final glucose level achieved is not truly low.13 There are contradictory studies in the literature demonstrating no association between insulin resistance and hypoglycemic symptoms.14 In 2022, Kosuda and colleagues looked at homeostatic model assessment for insulin resistance in patients with postprandial syndrome. They found that the patients were slightly insulin resistant but had normal or exaggerated insulin secretory capacity compared to an oral glucose load, whereas glucagon levels were robustly suppressed by a glucose load. The observed hormonal responses may result in the glycemic patterns and symptoms observed; further study is warranted to elucidate the mechanism.15

Dietary modification is the cornerstone treatment for postprandial syndrome, including reduced carbohydrate intake, increased protein and fiber intake, and more frequent and smaller meals. There is also evidence that a Mediterranean diet may be beneficial for managing hypoglycemic symptoms.16 Furthermore, α-glucosidase inhibitors, whose mechanism of action delays the digestion of carbohydrates, have demonstrated promise. This medication class has demonstrated significance in raising postprandial glucose levels and alleviating hypoglycemic symptoms in patients with true postprandial hypoglycemia.17

CONCLUSIONS

IPP is a benign diagnosis encompassing hypoglycemic symptoms without biochemical hypoglycemia. It is not a true hypoglycemic disorder. IPP is challenging to diagnose, given that it is an interpretation of exclusion, supported by symptom improvement with dietary changes (ie, reduced carbohydrate intake, increased protein and fiber intake, and more frequent and smaller meals). Supervised mixed meal testing or CGM can be used to assist with diagnosis. Even though CGM is undergoing further study in this patient population, it corroborated the diagnosis in the patient described in this case.

For hypoglycemic symptoms, physicians should first assess for evidence of Whipple triad to evaluate for true biochemical hypoglycemia. For true hypoglycemia (< 55 mg/dL), physicians may conduct an examination in conjunction with an endocrinologist. For normoglycemia (≥ 55 mg/dL), physicians should first exclude alternative etiologies (including cardiac and neurologic), and subsequently consider IPP.

References
  1. Bansal N, Weinstock RS. Non-Diabetic Hypoglycemia. In: Feingold KR, Anawalt B, Blackman MR, et al, eds. Endotext. MDText.com, Inc.; 2000.

  2. Service FJ. Hypoglycemic disorders. New Engl J Med. 1995;332(17):1144-1152.doi:10.1056/NEJM199504273321707

  3. Charles MA, Hofeldt F, Shackelford A, et al. Comparison of oral glucose tolerance tests and mixed meals in patients with apparent idiopathic postabsorptive hypoglycemia: absence of hypoglycemia after meals. Diabetes. 1981;30(6):465-470.

  4. Douillard C, Jannin A, Vantyghem MC. Rare causes of hypoglycemia in adults. Ann Endocrinol (Paris). 2020;81(2-3):110-117. doi:10.1016/j.ando.2020.04.003

  5. Ekhlaspour L, Mondesir D, Lautsch N, et al. Comparative accuracy of 17 point-of-care glucose meters. J Diabetes Sci Technol. 2017;11(3):558-566. doi:10.1177/1932296816672237

  6. Alitta Q, Grino M, Adjemout L, Langar A, Retornaz F, Oliver C. Overestimation of hypoglycemia diagnosis by FreeStyle Libre continuous glucose monitoring in long-term care home residents with diabetes. J Diabetes Sci Technol. 2018;12(3):727-728. doi:10.1177/1932296817747887

  7. Mongraw-Chaffin M, Beavers DP, McClain DA. Hypoglycemic symptoms in the absence of diabetes: pilot evidence of clinical hypoglycemia in young women. J Clin Transl Endocrinol. 2019;18:100202. doi:10.1016/j.jcte.2019.100202 

  8. Shah VN, DuBose SN, Li Z, et al. Continuous glucose monitoring profiles in healthy nondiabetic participants: a multicenter prospective study. J Clin Endocrinol Metab. 2019;104(10):4356-4364. doi:10.1210/jc.2018-02763

  9. Cryer PE, Axelrod L, Grossman AB, et al. Evaluation and management of adult hypoglycemic disorders: an endocrine society clinical practice guideline. J Clin Endocrinol Metab. 2009;94(3):709-728. doi:10.1210/jc.2008-1410

  10. Galati SJ, Rayfield EJ. Approach to the patient with postprandial hypoglycemia. Endocr Pract. 2014;20(4):331-340. doi:10.4158/EP13132.RA

  11. Altuntas Y. Postprandial reactive hypoglycemia. Sisli Etfal Hastan Tip Bul. 2019;53(3):215-220.doi:10.14744/SEMB.2019.59455

  12. HARRIS S. HYPERINSULINISM AND DYSINSULINISM. JAMA. 1924;83(10):729-733.doi:10.1001/jama.1924.02660100003002

  13. Harris S. HYPERINSULINISM AND DYSINSULINISM (INSULOGENIC HYPOGLYCBMIA). Endocrinology. 1932;16(1):29-42. doi:10.1210/endo-16-1-29

  14. Hall M, Walicka M, Panczyk M, Traczyk I. Metabolic parameters in patients with suspected reactive hypoglycemia. J Pers Med. 2021;11(4):276. doi:10.3390/jpm11040276

  15. Kosuda M, Watanabe K, Koike M, et al. Glucagon response to glucose challenge in patients with idiopathic postprandial syndrome. J Nippon Med Sch. 2022;89(1):102-107. doi:10.1272/jnms.JNMS.2022_89-205

  16. Hall M, Walicka M, Panczyk M, Traczyk I. Assessing long-term impact of dietary interventions on occurrence of symptoms consistent with hypoglycemia in patients without diabetes: a one-year follow-up study. Nutrients. 2022;14(3):497. doi:10.3390/nu14030497

  17. Ozgen AG, Hamulu F, Bayraktar F, et al. Long-term treatment with acarbose for the treatment of reactive hypoglycemia. Eat Weight Disord. 1998;3(3):136-140. doi:10.1007/BF03340001

References
  1. Bansal N, Weinstock RS. Non-Diabetic Hypoglycemia. In: Feingold KR, Anawalt B, Blackman MR, et al, eds. Endotext. MDText.com, Inc.; 2000.

  2. Service FJ. Hypoglycemic disorders. New Engl J Med. 1995;332(17):1144-1152.doi:10.1056/NEJM199504273321707

  3. Charles MA, Hofeldt F, Shackelford A, et al. Comparison of oral glucose tolerance tests and mixed meals in patients with apparent idiopathic postabsorptive hypoglycemia: absence of hypoglycemia after meals. Diabetes. 1981;30(6):465-470.

  4. Douillard C, Jannin A, Vantyghem MC. Rare causes of hypoglycemia in adults. Ann Endocrinol (Paris). 2020;81(2-3):110-117. doi:10.1016/j.ando.2020.04.003

  5. Ekhlaspour L, Mondesir D, Lautsch N, et al. Comparative accuracy of 17 point-of-care glucose meters. J Diabetes Sci Technol. 2017;11(3):558-566. doi:10.1177/1932296816672237

  6. Alitta Q, Grino M, Adjemout L, Langar A, Retornaz F, Oliver C. Overestimation of hypoglycemia diagnosis by FreeStyle Libre continuous glucose monitoring in long-term care home residents with diabetes. J Diabetes Sci Technol. 2018;12(3):727-728. doi:10.1177/1932296817747887

  7. Mongraw-Chaffin M, Beavers DP, McClain DA. Hypoglycemic symptoms in the absence of diabetes: pilot evidence of clinical hypoglycemia in young women. J Clin Transl Endocrinol. 2019;18:100202. doi:10.1016/j.jcte.2019.100202 

  8. Shah VN, DuBose SN, Li Z, et al. Continuous glucose monitoring profiles in healthy nondiabetic participants: a multicenter prospective study. J Clin Endocrinol Metab. 2019;104(10):4356-4364. doi:10.1210/jc.2018-02763

  9. Cryer PE, Axelrod L, Grossman AB, et al. Evaluation and management of adult hypoglycemic disorders: an endocrine society clinical practice guideline. J Clin Endocrinol Metab. 2009;94(3):709-728. doi:10.1210/jc.2008-1410

  10. Galati SJ, Rayfield EJ. Approach to the patient with postprandial hypoglycemia. Endocr Pract. 2014;20(4):331-340. doi:10.4158/EP13132.RA

  11. Altuntas Y. Postprandial reactive hypoglycemia. Sisli Etfal Hastan Tip Bul. 2019;53(3):215-220.doi:10.14744/SEMB.2019.59455

  12. HARRIS S. HYPERINSULINISM AND DYSINSULINISM. JAMA. 1924;83(10):729-733.doi:10.1001/jama.1924.02660100003002

  13. Harris S. HYPERINSULINISM AND DYSINSULINISM (INSULOGENIC HYPOGLYCBMIA). Endocrinology. 1932;16(1):29-42. doi:10.1210/endo-16-1-29

  14. Hall M, Walicka M, Panczyk M, Traczyk I. Metabolic parameters in patients with suspected reactive hypoglycemia. J Pers Med. 2021;11(4):276. doi:10.3390/jpm11040276

  15. Kosuda M, Watanabe K, Koike M, et al. Glucagon response to glucose challenge in patients with idiopathic postprandial syndrome. J Nippon Med Sch. 2022;89(1):102-107. doi:10.1272/jnms.JNMS.2022_89-205

  16. Hall M, Walicka M, Panczyk M, Traczyk I. Assessing long-term impact of dietary interventions on occurrence of symptoms consistent with hypoglycemia in patients without diabetes: a one-year follow-up study. Nutrients. 2022;14(3):497. doi:10.3390/nu14030497

  17. Ozgen AG, Hamulu F, Bayraktar F, et al. Long-term treatment with acarbose for the treatment of reactive hypoglycemia. Eat Weight Disord. 1998;3(3):136-140. doi:10.1007/BF03340001

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DX ACROSS THE SKIN COLOR SPECTRUM

Dermatosis papulosa nigra (DPN), a subvariant of seborrheic keratosis (SK), is characterized by benign pigmented epidermal neoplasms that typically manifest on the face, neck, and trunk in individuals with darker skin tones (Figure).1,2 While DPN meets the diagnostic criteria for SK, certain characteristics can help distinguish these lesions from other SK types. Treatment of DPN in patients with skin of color requires caution, particularly regarding the use of abrasive methods as well as cryotherapy, which generally should be avoided. 

EPIDEMIOLOGY 

The incidence of SKs increases with age.3,4 Although it can occur in patients of all skin tones, SK is more common in lighter skin tones, while DPN predominantly is diagnosed in darker skin types.1,4 The prevalence of DPN in Black patients ranges from 10% to 30%, and Black women are twice as likely to be diagnosed with DPN as men.2 One study reported a first-degree relative with DPN in 84% (42/50) of patients.5 The number and size of DPN papules increase with age.1 

KEY CLINICAL FEATURES 

Dermatosis papulosa nigra and SK have distinctive morphologies: DPN typically manifests as raised, round or filiform, sessile, brown to black, 1- to 5-mm papules. 2 Seborrheic keratoses tend to be larger with a “stuck on” appearance and manifest as well-demarcated, pink to black papules or plaques that can range in size from millimeters to a few centimeters. 3,4 In DPN, the lesions usually are asymptomatic but may be tender, pruritic, dry, or scaly and may become irritated.1,2 They develop symmetrically in sun-exposed areas, and the most common sites are the malar face, temporal region, neck, and trunk.1,2,6,7 Seborrheic keratoses can appear throughout the body, including in sun-exposed areas, but have varying textures (eg, greasy, waxy, verrucous).3,4 

WORTH NOTING 

Dermatosis papulosa nigra and SK can resemble each other histologically: DPN demonstrates a fibrous stroma, papillomatosis, hyperkeratosis, and acanthosis at the intraepidermal layer, which are diagnostic criteria for SK.2,4,8 However, other histologic features characteristic of SK that are not seen in DPN include pseudohorn cysts, spindle tumor cells, and basaloid cell nests.8 

Dermoscopy can be useful in ruling out malignant skin cancers when evaluating pigmented lesions. The most common dermoscopic features of SK are cerebriform patterns such as fissures and ridges, comedolike openings, and pigmented fingerprintlike structures.3,4 To a lesser degree, milialike cysts, sharp demarcation, and hairpin-shaped vascular structures also may be present.4 The dermoscopic findings of DPN have not been well evaluated, but one study revealed that DPN had similar dermoscopic features to SK with some predominant features.6 Ridges and fissures were seen in 59% of patients diagnosed with DPN followed by comedolike openings seen in 27% of patients. The coexistence of a cerebriform pattern with comedolike openings was infrequent, and milialike cysts were rare.6 

While DPN and SK are benign, patients often seek treatment for cosmetic reasons. Factors to consider when choosing a treatment modality include location of the lesions, the patient’s skin tone, and postprocedural outcomes (eg, depigmentation, wound healing). In general, treatments for SK include cryotherapy, electrodesiccation and curettage, and topical therapeutics such as hydrogen peroxide 40%, topical vitamin D3, and nitric-zinc 30%-50% solutions. 4,8 Well-established treatment options for DPN include electrodesiccation, laser therapies, scissor excision, and cryotherapy, but topical options such as tazarotene also have been reported.1,9 Of the treatments for DPN, electrodesiccation and laser therapy routinely are used.10 

The efficacy of electrodessication and potassium titanyl phosphate (KTP) laser were assessed in a randomized, investigatorblinded split-face study.11 Both modalities received high improvement ratings, with the results favoring the KTP laser. The patients (most of whom were Black) reported that KTP laser was more effective but more painful than electrodessication (P =.002).11 In another randomized study, patients received 3 treatments—electrodessication, pulsed dye laser, and curettage—for select DPN papules.10 There was no difference in the degree of clearance, cosmetic outcome, or postinflammatory hyperpigmentation between the 3 modalities, but patients found the laser to be the most painful. 

It is important to exercise caution when using abrasive methods (eg, laser therapy, electrodesiccation, curettage) in patients with darker skin tones because of the increased risk for postinflammatory pigment alteration.1,2,12 Adverse effects of treatment are a top concern in the management of DPN.5,13 While cryotherapy is a preferred treatment of SK in lighter skin tones, it generally is avoided for DPN in darker skin types because melanocyte destruction can lead to cosmetically unsatisfactory and easily visible depigmentation.9 

To mitigate postprocedural adverse effects, proper aftercare can promote wound healing and minimize postinflammatory pigment alteration. In one split-face study of Black patients, 2 DPN papules were removed from each side of the face using fine-curved surgical scissors.14 Next, a petrolatum-based ointment and an antibiotic ointment with polymyxin B sulfate/bacitracin zinc was applied twice daily for 21 days to opposite sides of the face. Patients did not develop infection, tolerated both treatments well, and demonstrated improved general wound appearance according to investigator- rated clinical assessment.14 Other reported postprocedural approaches include using topical agents with ingredients shown to improve hyperpigmentation (eg, niacinamide, azelaic acid) as well as photoprotection.12 

HEALTH DISPARITY HIGHLIGHT 

While DPN is benign, it can have adverse psychosocial effects on patients. A study in Senegal revealed that 60% (19/30) of patients with DPN experienced anxiety related to their condition, while others noted that DPN hindered their social relationships.13 In one US study of 50 Black patients with DPN, there was a moderate effect on quality of life, and 36% (18/50) of patients had the lesions removed. However, of the treated patients, 67% (12/18) reported few—if any—symptoms prior to removal.5 Although treatment of DPN is widely considered a cosmetic procedure, therapeutic management can address— and may improve—mental health in patients with skin of color.1,5,13 Despite the high prevalence of DPN in patients with darker skin tones, data on treatment frequency and insurance coverage are not widely available, thus limiting our understanding of treatment accessibility and economic burden. 

References
  1. Frazier WT, Proddutur S, Swope K. Common dermatologic conditions in skin of color. Am Fam Physician. 2023;107:26-34. 
  2. Metin SA, Lee BW, Lambert WC, et al. Dermatosis papulosa nigra: a clinically and histopathologically distinct entity. Clin Dermatol. 2017;35:491-496. 
  3. Braun RP, Ludwig S, Marghoob AA. Differential diagnosis of seborrheic keratosis: clinical and dermoscopic features. J Drugs Dermatol. 2017;16:835-842. 
  4. Sun MD, Halpern AC. Advances in the etiology, detection, and clinical management of seborrheic keratoses. Dermatology. 2022;238:205-217. 
  5. Uwakwe LN, De Souza B, Subash J, et al. Dermatosis papulosa nigra: a quality of life survey study. J Clin Aesthet Dermatol. 2020;13:17-19. 
  6. Bhat RM, Patrao N, Monteiro R, et al. A clinical, dermoscopic, and histopathological study of dermatosis papulosa nigra (DPN)—an Indian perspective. Int J Dermatol. 2017;56:957-960. 
  7. Karampinis E, Georgopoulou KE, Kampra E, et al. Clinical and dermoscopic patterns of basal cell carcinoma and its mimickers in skin of color: a practical summary. Medicina (Kaunas). 2024;60:1386. 
  8. Gorai S, Ahmad S, Raza SSM, et al. Update of pathophysiology and treatment options of seborrheic keratosis. Dermatol Ther. 2022;35:E15934. 
  9. Jain S, Caire H, Haas CJ. Management of dermatosis papulosa nigra: a systematic review. Int J Dermatol. Published online October 4, 2024. 
  10. Garcia MS, Azari R, Eisen DB. Treatment of dermatosis papulosa nigra in 10 patients: a comparison trial of electrodesiccation, pulsed dye laser, and curettage. Dermatol Surg. 2010;36:1968-1972. 
  11. Kundu RV, Joshi SS, Suh KY, et al. Comparison of electrodesiccation and potassium-titanyl-phosphate laser for treatment of dermatosis papulosa nigra. Dermatol Surg. 2009;35:1079-1083. 
  12. Markiewicz E, Karaman-Jurukovska N, Mammone T, et al. Post-inflammatory hyperpigmentation in dark skin: molecular mechanism and skincare implications. Clin Cosmet Investig Dermatol. 2022;15:2555-2565. 
  13. Niang SO, Kane A, Diallo M, et al. Dermatosis papulosa nigra in Dakar, Senegal. Int J Dermatol. 2007;46(suppl 1):45-47. 
  14. Taylor SC, Averyhart AN, Heath CR. Postprocedural wound-healing efficacy following removal of dermatosis papulosa nigra lesions in an African American population: a comparison of a skin protectant ointment and a topical antibiotic. J Am Acad Dermatol. 2011;64(suppl 3):S30-S35.
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DX ACROSS THE SKIN COLOR SPECTRUM
DX ACROSS THE SKIN COLOR SPECTRUM

Dermatosis papulosa nigra (DPN), a subvariant of seborrheic keratosis (SK), is characterized by benign pigmented epidermal neoplasms that typically manifest on the face, neck, and trunk in individuals with darker skin tones (Figure).1,2 While DPN meets the diagnostic criteria for SK, certain characteristics can help distinguish these lesions from other SK types. Treatment of DPN in patients with skin of color requires caution, particularly regarding the use of abrasive methods as well as cryotherapy, which generally should be avoided. 

EPIDEMIOLOGY 

The incidence of SKs increases with age.3,4 Although it can occur in patients of all skin tones, SK is more common in lighter skin tones, while DPN predominantly is diagnosed in darker skin types.1,4 The prevalence of DPN in Black patients ranges from 10% to 30%, and Black women are twice as likely to be diagnosed with DPN as men.2 One study reported a first-degree relative with DPN in 84% (42/50) of patients.5 The number and size of DPN papules increase with age.1 

KEY CLINICAL FEATURES 

Dermatosis papulosa nigra and SK have distinctive morphologies: DPN typically manifests as raised, round or filiform, sessile, brown to black, 1- to 5-mm papules. 2 Seborrheic keratoses tend to be larger with a “stuck on” appearance and manifest as well-demarcated, pink to black papules or plaques that can range in size from millimeters to a few centimeters. 3,4 In DPN, the lesions usually are asymptomatic but may be tender, pruritic, dry, or scaly and may become irritated.1,2 They develop symmetrically in sun-exposed areas, and the most common sites are the malar face, temporal region, neck, and trunk.1,2,6,7 Seborrheic keratoses can appear throughout the body, including in sun-exposed areas, but have varying textures (eg, greasy, waxy, verrucous).3,4 

WORTH NOTING 

Dermatosis papulosa nigra and SK can resemble each other histologically: DPN demonstrates a fibrous stroma, papillomatosis, hyperkeratosis, and acanthosis at the intraepidermal layer, which are diagnostic criteria for SK.2,4,8 However, other histologic features characteristic of SK that are not seen in DPN include pseudohorn cysts, spindle tumor cells, and basaloid cell nests.8 

Dermoscopy can be useful in ruling out malignant skin cancers when evaluating pigmented lesions. The most common dermoscopic features of SK are cerebriform patterns such as fissures and ridges, comedolike openings, and pigmented fingerprintlike structures.3,4 To a lesser degree, milialike cysts, sharp demarcation, and hairpin-shaped vascular structures also may be present.4 The dermoscopic findings of DPN have not been well evaluated, but one study revealed that DPN had similar dermoscopic features to SK with some predominant features.6 Ridges and fissures were seen in 59% of patients diagnosed with DPN followed by comedolike openings seen in 27% of patients. The coexistence of a cerebriform pattern with comedolike openings was infrequent, and milialike cysts were rare.6 

While DPN and SK are benign, patients often seek treatment for cosmetic reasons. Factors to consider when choosing a treatment modality include location of the lesions, the patient’s skin tone, and postprocedural outcomes (eg, depigmentation, wound healing). In general, treatments for SK include cryotherapy, electrodesiccation and curettage, and topical therapeutics such as hydrogen peroxide 40%, topical vitamin D3, and nitric-zinc 30%-50% solutions. 4,8 Well-established treatment options for DPN include electrodesiccation, laser therapies, scissor excision, and cryotherapy, but topical options such as tazarotene also have been reported.1,9 Of the treatments for DPN, electrodesiccation and laser therapy routinely are used.10 

The efficacy of electrodessication and potassium titanyl phosphate (KTP) laser were assessed in a randomized, investigatorblinded split-face study.11 Both modalities received high improvement ratings, with the results favoring the KTP laser. The patients (most of whom were Black) reported that KTP laser was more effective but more painful than electrodessication (P =.002).11 In another randomized study, patients received 3 treatments—electrodessication, pulsed dye laser, and curettage—for select DPN papules.10 There was no difference in the degree of clearance, cosmetic outcome, or postinflammatory hyperpigmentation between the 3 modalities, but patients found the laser to be the most painful. 

It is important to exercise caution when using abrasive methods (eg, laser therapy, electrodesiccation, curettage) in patients with darker skin tones because of the increased risk for postinflammatory pigment alteration.1,2,12 Adverse effects of treatment are a top concern in the management of DPN.5,13 While cryotherapy is a preferred treatment of SK in lighter skin tones, it generally is avoided for DPN in darker skin types because melanocyte destruction can lead to cosmetically unsatisfactory and easily visible depigmentation.9 

To mitigate postprocedural adverse effects, proper aftercare can promote wound healing and minimize postinflammatory pigment alteration. In one split-face study of Black patients, 2 DPN papules were removed from each side of the face using fine-curved surgical scissors.14 Next, a petrolatum-based ointment and an antibiotic ointment with polymyxin B sulfate/bacitracin zinc was applied twice daily for 21 days to opposite sides of the face. Patients did not develop infection, tolerated both treatments well, and demonstrated improved general wound appearance according to investigator- rated clinical assessment.14 Other reported postprocedural approaches include using topical agents with ingredients shown to improve hyperpigmentation (eg, niacinamide, azelaic acid) as well as photoprotection.12 

HEALTH DISPARITY HIGHLIGHT 

While DPN is benign, it can have adverse psychosocial effects on patients. A study in Senegal revealed that 60% (19/30) of patients with DPN experienced anxiety related to their condition, while others noted that DPN hindered their social relationships.13 In one US study of 50 Black patients with DPN, there was a moderate effect on quality of life, and 36% (18/50) of patients had the lesions removed. However, of the treated patients, 67% (12/18) reported few—if any—symptoms prior to removal.5 Although treatment of DPN is widely considered a cosmetic procedure, therapeutic management can address— and may improve—mental health in patients with skin of color.1,5,13 Despite the high prevalence of DPN in patients with darker skin tones, data on treatment frequency and insurance coverage are not widely available, thus limiting our understanding of treatment accessibility and economic burden. 

Dermatosis papulosa nigra (DPN), a subvariant of seborrheic keratosis (SK), is characterized by benign pigmented epidermal neoplasms that typically manifest on the face, neck, and trunk in individuals with darker skin tones (Figure).1,2 While DPN meets the diagnostic criteria for SK, certain characteristics can help distinguish these lesions from other SK types. Treatment of DPN in patients with skin of color requires caution, particularly regarding the use of abrasive methods as well as cryotherapy, which generally should be avoided. 

EPIDEMIOLOGY 

The incidence of SKs increases with age.3,4 Although it can occur in patients of all skin tones, SK is more common in lighter skin tones, while DPN predominantly is diagnosed in darker skin types.1,4 The prevalence of DPN in Black patients ranges from 10% to 30%, and Black women are twice as likely to be diagnosed with DPN as men.2 One study reported a first-degree relative with DPN in 84% (42/50) of patients.5 The number and size of DPN papules increase with age.1 

KEY CLINICAL FEATURES 

Dermatosis papulosa nigra and SK have distinctive morphologies: DPN typically manifests as raised, round or filiform, sessile, brown to black, 1- to 5-mm papules. 2 Seborrheic keratoses tend to be larger with a “stuck on” appearance and manifest as well-demarcated, pink to black papules or plaques that can range in size from millimeters to a few centimeters. 3,4 In DPN, the lesions usually are asymptomatic but may be tender, pruritic, dry, or scaly and may become irritated.1,2 They develop symmetrically in sun-exposed areas, and the most common sites are the malar face, temporal region, neck, and trunk.1,2,6,7 Seborrheic keratoses can appear throughout the body, including in sun-exposed areas, but have varying textures (eg, greasy, waxy, verrucous).3,4 

WORTH NOTING 

Dermatosis papulosa nigra and SK can resemble each other histologically: DPN demonstrates a fibrous stroma, papillomatosis, hyperkeratosis, and acanthosis at the intraepidermal layer, which are diagnostic criteria for SK.2,4,8 However, other histologic features characteristic of SK that are not seen in DPN include pseudohorn cysts, spindle tumor cells, and basaloid cell nests.8 

Dermoscopy can be useful in ruling out malignant skin cancers when evaluating pigmented lesions. The most common dermoscopic features of SK are cerebriform patterns such as fissures and ridges, comedolike openings, and pigmented fingerprintlike structures.3,4 To a lesser degree, milialike cysts, sharp demarcation, and hairpin-shaped vascular structures also may be present.4 The dermoscopic findings of DPN have not been well evaluated, but one study revealed that DPN had similar dermoscopic features to SK with some predominant features.6 Ridges and fissures were seen in 59% of patients diagnosed with DPN followed by comedolike openings seen in 27% of patients. The coexistence of a cerebriform pattern with comedolike openings was infrequent, and milialike cysts were rare.6 

While DPN and SK are benign, patients often seek treatment for cosmetic reasons. Factors to consider when choosing a treatment modality include location of the lesions, the patient’s skin tone, and postprocedural outcomes (eg, depigmentation, wound healing). In general, treatments for SK include cryotherapy, electrodesiccation and curettage, and topical therapeutics such as hydrogen peroxide 40%, topical vitamin D3, and nitric-zinc 30%-50% solutions. 4,8 Well-established treatment options for DPN include electrodesiccation, laser therapies, scissor excision, and cryotherapy, but topical options such as tazarotene also have been reported.1,9 Of the treatments for DPN, electrodesiccation and laser therapy routinely are used.10 

The efficacy of electrodessication and potassium titanyl phosphate (KTP) laser were assessed in a randomized, investigatorblinded split-face study.11 Both modalities received high improvement ratings, with the results favoring the KTP laser. The patients (most of whom were Black) reported that KTP laser was more effective but more painful than electrodessication (P =.002).11 In another randomized study, patients received 3 treatments—electrodessication, pulsed dye laser, and curettage—for select DPN papules.10 There was no difference in the degree of clearance, cosmetic outcome, or postinflammatory hyperpigmentation between the 3 modalities, but patients found the laser to be the most painful. 

It is important to exercise caution when using abrasive methods (eg, laser therapy, electrodesiccation, curettage) in patients with darker skin tones because of the increased risk for postinflammatory pigment alteration.1,2,12 Adverse effects of treatment are a top concern in the management of DPN.5,13 While cryotherapy is a preferred treatment of SK in lighter skin tones, it generally is avoided for DPN in darker skin types because melanocyte destruction can lead to cosmetically unsatisfactory and easily visible depigmentation.9 

To mitigate postprocedural adverse effects, proper aftercare can promote wound healing and minimize postinflammatory pigment alteration. In one split-face study of Black patients, 2 DPN papules were removed from each side of the face using fine-curved surgical scissors.14 Next, a petrolatum-based ointment and an antibiotic ointment with polymyxin B sulfate/bacitracin zinc was applied twice daily for 21 days to opposite sides of the face. Patients did not develop infection, tolerated both treatments well, and demonstrated improved general wound appearance according to investigator- rated clinical assessment.14 Other reported postprocedural approaches include using topical agents with ingredients shown to improve hyperpigmentation (eg, niacinamide, azelaic acid) as well as photoprotection.12 

HEALTH DISPARITY HIGHLIGHT 

While DPN is benign, it can have adverse psychosocial effects on patients. A study in Senegal revealed that 60% (19/30) of patients with DPN experienced anxiety related to their condition, while others noted that DPN hindered their social relationships.13 In one US study of 50 Black patients with DPN, there was a moderate effect on quality of life, and 36% (18/50) of patients had the lesions removed. However, of the treated patients, 67% (12/18) reported few—if any—symptoms prior to removal.5 Although treatment of DPN is widely considered a cosmetic procedure, therapeutic management can address— and may improve—mental health in patients with skin of color.1,5,13 Despite the high prevalence of DPN in patients with darker skin tones, data on treatment frequency and insurance coverage are not widely available, thus limiting our understanding of treatment accessibility and economic burden. 

References
  1. Frazier WT, Proddutur S, Swope K. Common dermatologic conditions in skin of color. Am Fam Physician. 2023;107:26-34. 
  2. Metin SA, Lee BW, Lambert WC, et al. Dermatosis papulosa nigra: a clinically and histopathologically distinct entity. Clin Dermatol. 2017;35:491-496. 
  3. Braun RP, Ludwig S, Marghoob AA. Differential diagnosis of seborrheic keratosis: clinical and dermoscopic features. J Drugs Dermatol. 2017;16:835-842. 
  4. Sun MD, Halpern AC. Advances in the etiology, detection, and clinical management of seborrheic keratoses. Dermatology. 2022;238:205-217. 
  5. Uwakwe LN, De Souza B, Subash J, et al. Dermatosis papulosa nigra: a quality of life survey study. J Clin Aesthet Dermatol. 2020;13:17-19. 
  6. Bhat RM, Patrao N, Monteiro R, et al. A clinical, dermoscopic, and histopathological study of dermatosis papulosa nigra (DPN)—an Indian perspective. Int J Dermatol. 2017;56:957-960. 
  7. Karampinis E, Georgopoulou KE, Kampra E, et al. Clinical and dermoscopic patterns of basal cell carcinoma and its mimickers in skin of color: a practical summary. Medicina (Kaunas). 2024;60:1386. 
  8. Gorai S, Ahmad S, Raza SSM, et al. Update of pathophysiology and treatment options of seborrheic keratosis. Dermatol Ther. 2022;35:E15934. 
  9. Jain S, Caire H, Haas CJ. Management of dermatosis papulosa nigra: a systematic review. Int J Dermatol. Published online October 4, 2024. 
  10. Garcia MS, Azari R, Eisen DB. Treatment of dermatosis papulosa nigra in 10 patients: a comparison trial of electrodesiccation, pulsed dye laser, and curettage. Dermatol Surg. 2010;36:1968-1972. 
  11. Kundu RV, Joshi SS, Suh KY, et al. Comparison of electrodesiccation and potassium-titanyl-phosphate laser for treatment of dermatosis papulosa nigra. Dermatol Surg. 2009;35:1079-1083. 
  12. Markiewicz E, Karaman-Jurukovska N, Mammone T, et al. Post-inflammatory hyperpigmentation in dark skin: molecular mechanism and skincare implications. Clin Cosmet Investig Dermatol. 2022;15:2555-2565. 
  13. Niang SO, Kane A, Diallo M, et al. Dermatosis papulosa nigra in Dakar, Senegal. Int J Dermatol. 2007;46(suppl 1):45-47. 
  14. Taylor SC, Averyhart AN, Heath CR. Postprocedural wound-healing efficacy following removal of dermatosis papulosa nigra lesions in an African American population: a comparison of a skin protectant ointment and a topical antibiotic. J Am Acad Dermatol. 2011;64(suppl 3):S30-S35.
References
  1. Frazier WT, Proddutur S, Swope K. Common dermatologic conditions in skin of color. Am Fam Physician. 2023;107:26-34. 
  2. Metin SA, Lee BW, Lambert WC, et al. Dermatosis papulosa nigra: a clinically and histopathologically distinct entity. Clin Dermatol. 2017;35:491-496. 
  3. Braun RP, Ludwig S, Marghoob AA. Differential diagnosis of seborrheic keratosis: clinical and dermoscopic features. J Drugs Dermatol. 2017;16:835-842. 
  4. Sun MD, Halpern AC. Advances in the etiology, detection, and clinical management of seborrheic keratoses. Dermatology. 2022;238:205-217. 
  5. Uwakwe LN, De Souza B, Subash J, et al. Dermatosis papulosa nigra: a quality of life survey study. J Clin Aesthet Dermatol. 2020;13:17-19. 
  6. Bhat RM, Patrao N, Monteiro R, et al. A clinical, dermoscopic, and histopathological study of dermatosis papulosa nigra (DPN)—an Indian perspective. Int J Dermatol. 2017;56:957-960. 
  7. Karampinis E, Georgopoulou KE, Kampra E, et al. Clinical and dermoscopic patterns of basal cell carcinoma and its mimickers in skin of color: a practical summary. Medicina (Kaunas). 2024;60:1386. 
  8. Gorai S, Ahmad S, Raza SSM, et al. Update of pathophysiology and treatment options of seborrheic keratosis. Dermatol Ther. 2022;35:E15934. 
  9. Jain S, Caire H, Haas CJ. Management of dermatosis papulosa nigra: a systematic review. Int J Dermatol. Published online October 4, 2024. 
  10. Garcia MS, Azari R, Eisen DB. Treatment of dermatosis papulosa nigra in 10 patients: a comparison trial of electrodesiccation, pulsed dye laser, and curettage. Dermatol Surg. 2010;36:1968-1972. 
  11. Kundu RV, Joshi SS, Suh KY, et al. Comparison of electrodesiccation and potassium-titanyl-phosphate laser for treatment of dermatosis papulosa nigra. Dermatol Surg. 2009;35:1079-1083. 
  12. Markiewicz E, Karaman-Jurukovska N, Mammone T, et al. Post-inflammatory hyperpigmentation in dark skin: molecular mechanism and skincare implications. Clin Cosmet Investig Dermatol. 2022;15:2555-2565. 
  13. Niang SO, Kane A, Diallo M, et al. Dermatosis papulosa nigra in Dakar, Senegal. Int J Dermatol. 2007;46(suppl 1):45-47. 
  14. Taylor SC, Averyhart AN, Heath CR. Postprocedural wound-healing efficacy following removal of dermatosis papulosa nigra lesions in an African American population: a comparison of a skin protectant ointment and a topical antibiotic. J Am Acad Dermatol. 2011;64(suppl 3):S30-S35.
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Utilization and Cost of Veterans Health Administration Referrals to Community Care-Based Physical Therapy

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Utilization and Cost of Veterans Health Administration Referrals to Community Care-Based Physical Therapy

 

The Veterans Health Administration (VHA) is the largest US integrated health system, providing care to veterans through VHA and non-VHA practitioners and facilities.1,2 Providing high-quality, timely, and veteran-centric care remains a priority for the VHA. Legislative efforts have expanded opportunities for eligible veterans to receive care in the community purchased by VHA, known as community care (CC).1 The Veterans Access, Choice, and Accountability Act of 2014 came in response to reports of long wait times and drive times for patients.3-5 The MISSION Act of 2018 expanded access to CC by streamlining it and broadening eligibility criteria, especially for veterans in rural communities who often experience more barriers in accessing care than veterans living in urban communities.1,6-10 Since the implementation of the Choice and MISSION Acts, > 2.7 million veterans have received care through community practitioners within the VHA CC network.11

Background

Increased access to CC could benefit veterans living in rural communities by increasing care options and circumventing challenges to accessing VHA care (ie, geographic, transportation, and distance barriers, practitioner and specialist shortages, and hospital closures). 5,9,10,12,13 However, health care system deficits in rural areas could also limit CC effectiveness for veterans living in those communities. 3 Other challenges posed by using CC include care coordination, information sharing, care continuity, delayed payments to CC practitioners, and mixed findings regarding CC quality.5,8,13,14 VHA practitioners are specifically trained to meet the multifaceted needs unique to veterans’ health and subculture, training CC practitioners may not receive.5,15

CC offers services for primary care and a broad range of specialties, including rehabilitation services such as physical therapy (PT).6 PT is used for the effective treatment of various conditions veterans experience and promote wellbeing and independence.16 US Department of Veterans Affairs (VA) databases reveal a high prevalence of veterans receiving PT services through CC; PT is one of the most frequently used CC outpatient specialty services by veterans living in rural communities.14,17

Telerehabitltation Enterprisewide Initiative

VHA has greatly invested in delivering care virtually, especially for veterans living in rural communities.18 In 2017, the VHA Office of Rural Health funded the Telerehabilitation Enterprise-Wide Initiative (TR-EWI) in partnership with the Physical Medicine and Rehabilitation Services national program office to increase access to specialized rehabilitation services for veterans living in rural communities by leveraging telehealth technologies.18-21 This alternative mode of health care delivery allows clinicians to overcome access barriers by delivering rehabilitation therapies directly to veterans' homes or nearby community-based outpatient clinics. TR-EWI was conceived as a hub-and-spoke model, where rehabilitation expertise at the hub was virtually delivered to spoke sites that did not have in-house expertise. In subsequent years, the TR-EWI also evolved to provide targeted telerehabilitation programs within rural-serving community-based outpatient clinics, including PT as a predominant service.19,20

As TR-EWI progressed—and in conjunction with the uptake of telehealth across VHA during the COVID-19 pandemic—there has been increased focus on PT telerehabilitation, especially for the 4.6 million veterans in rural communities.18,22,23 Because health care delivery system deficits in rural areas could limit the effective use of CC, many TR-EWI sites hope to reduce their CC referrals by providing telehealth PT services to veterans who might otherwise need to be referred to CC. This strategy aligns with VHA goals of providing high-quality and timely care. To better understand opportunities for programs like TR-EWI to provide rehabilitation services for veterans and reduce care sent to the community, research that examines CC referral trends for PT over time is warranted.

This study examines CC from a rehabilitation perspective with a focus on CC referral trends for PT, specifically for Veterans Integrated Service Networks (VISNs) where TREWI sites are located. The study’s objectives were to describe rehabilitation PT services being referred to CC and examine associated CC costs for PT services. Two research questions guided the study. First, what are the utilization trends for CC PT referrals from fiscal year (FY) 2019 to FY 2022? Secondly, what is the cost breakdown of CC for PT referrals from FY 2020 to FY 2022?

Methods

This study was conducted by a multidisciplinary team comprised of public health, disability, rehabilitation counseling, and PT professionals. It was deemed a quality improvement project under VA guidance and followed the SQUIRE guidelines for quality improvement reporting.24,25 The study used the VA Common Operating Platform (Palantir) to obtain individual-level CC referral data from the HealthShare Referral Manager (HSRM) database and consult data from the Computerized Patient Record System. Palantir is used to store and integrate VA data derived from the VA Corporate Data Warehouse and VHA Support Service Center. Referrals are authorizations for care to be delivered by a CC practitioner.

TR-EWI is comprised of 7 sites: VISN 2, VISN 4, VISN 8, VISN 12, VISN 15, VISN 19, and VISN 22. Each site provides telerehabilitation services with an emphasis on reaching veterans living in rural communities. We joined the referrals and consults cubes in Palantir to extract PT referrals for FY 2019 to FY 2022 for the 7 VISNs with TR-EWI sites and obtain referral-specific information and demographic characteristics. 26 Data were extracted in October 2022.

The VHA Community Care Referral Dashboard (CC Dashboard) provided nonindividual level CC cost data.27 The CC Dashboard provides insights into the costs of CC services for VHA enrollees by category of care, standardized episode of care, and eligibility. Data are based on nationallevel HSRM referrals that are not suspended or linked to a canceled or discontinued consult. Data were aggregated by VISN. The dashboard only includes referrals dating back to FY 2020; therefore, PT data from FY 2020 through FY 2022 for VISNs with TR-EWI sites were collected. Data were extracted in December 2022.

This study examined CC referrals, station name, eligibility types, clinical diagnoses (International Classification of Diseases, Tenth Revision codes), and demographic information in the Palantir dataset. Six eligibility criteria can qualify a veteran to receive CC.28 Within clinical diagnoses, the variable of interest was the provisional diagnosis. Patient demographics included age, gender, and rurality of residence, as determined by the Rural-Urban Commuting Area system.29,30 Rural and highly rural categories were combined for analysis. For the CC cost dataset, this study examined CC referrals, referral cost, and eligibility type.

Analysis

For the first research question, we examined referral data from FY 2019 to FY 2022 using the Palantir dataset, performed descriptive statistical analysis for all variables, and analyzed data to identify trends. Descriptive statistics were completed using IBM SPSS Statistics for Windows Version 29.0.0.0.

A qualitative analysis of provisional diagnosis data revealed what is being referred to CC for PT. A preliminary overview of provisional diagnosis data was conducted to familiarize coders with the data. We developed a coding framework to categorize diagnoses based on anatomical location, body structure, and clinical areas of interest. Data were reviewed individually and grouped into categories within the coding framework before meeting as a team to achieve group consensus on categorization. We then totaled the frequency of occurrence for provisional diagnoses within each category. Qualitative analyses were completed using Microsoft Excel.

For the second research question, the study used the CC cost dataset to examine the cost breakdown of CC PT referrals from FY 2020 to FY 2022. We calculated the number and cost of PT referrals across eligibility groups for each FY and VISN. Data were analyzed using SPSS to identify cost trends.

Results

There were 344,406 referrals to CC for PT from FY 2019 to FY 2022 for the 7 VISNs analyzed (Table 1). Of these, 22.5% were from FY 2019, 19.1% from FY 2020, 28.2% from FY 2021, and 30.3% from FY 2022. VISN 8 and VISN 22 reported the most overall PT referrals, with VISN 8 comprising 22.2% and VISN 22 comprising 18.1% of all referrals. VISN 2 reported the least overall referrals (3.7%). VISN 4 and VISN 12 had decreases in referrals over time. VISN 2 and VISN 15 had decreases in referrals from FY 2019 to FY 2021 and slight increases from FY 2021 to FY 2022. VISN 19 and VISN 22 both saw slight increases from FY 2019 to FY 2020 and substantial increases from FY 2020 to FY 2022, with FY 2022 accounting for 40.0% and 42.3% of all referrals for VISN 19 and VISN 20, respectively (Figure 1).

0225FED-ePT-T10225FED-ePT-F1

For FY 2019 and FY 2020, VISN 8 had the highest percentage of referrals (26.7% and 23.2%, respectively), whereas VISN 22 was among the lowest (7.3% and 11.4%, respectively). However, for FY 2021 and FY 2022, VISN 22 reported the highest percentage of referrals (23.5% and 25.3%, respectively) compared to all other VISNs. VISN 2 consistently reported the lowest percentage of referrals across all years.

There were 56 stations analyzed across the 7 VISNs (Appendix 1). Nine stations each accounted for ≥ 3.0% of the total PT referrals and only 2 stations accounted for > 5.0% of referrals. Orlando, Florida (6.0%), Philadelphia, Pennsylvania (5.2%), Tampa, Florida (4.9%), Aurora, Colorado (4.9%), and Gainesville, Florida (4.4%) reported the top 5 highest referrals, with 3 being from VISN 8 (Orlando, Tampa, Gainesville). Stations with the lowest reported referrals were all in VISN 2 in New York: The Bronx, (0%), New York Harbor (0%), Hudson Valley (0.1%) and Finger Lakes (0.2%).

0225FED-ePT-A1
Rurality

Urban stations comprised 56.2% and rural stations comprised 39.8% of PT CC referrals, while 0.2% of referrals were from insular isle US territories: Guam, American Samoa, Northern Marianas, and the Virgin Islands. The sample had missing or unknown data for 3.8% of referrals. FY 2022 had the largest difference in rural and urban referrals. Additionally, there was an overall trend of more referrals over time for rural and urban, with a large increase in rural (+40.0%) and urban (+62.7%) referrals from FY 2020 to FY 2021 and a modest increase from FY 2021 to FY 2022 (+5.2% for rural and +9.1% for urban). There was a decrease in rural (-7.0%) and urban (-3.5%) referrals from FY 2019 to FY 2020 (Figure 2).

0225FED-ePT-F2

There were differences in referrals by rurality and VISN (Table 2). VISN 12, VISN 15, and VISN 19 reported more rural than urban referrals, whereas VISN 4, VISN 8, and VISN 22 reported more urban than rural referrals. VISN 2 reported similar numbers for both, with slightly more urban than rural referrals. When reviewing trends over time for each FY, VISN 12, VISN 15, and VISN 19 reported more rural than urban referrals and VISN 4, VISN 8, and VISN 22 had more urban than rural referrals. In FY 2019 and FY 2020, VISN 2 reported slightly more urban than rural referrals but almost the same number of referrals in FY 2021 and FY 2022 (Appendix 2).

0225FED-ePT-T20225FED-ePT-A2
Demographics

The mean (SD) age was 61.2 (15.8) years (range, 20-105). Most PT CC referrals were for veterans aged 70 to 79 years (26.9%), followed by 60 to 69 years (20.7%), and 50 to 59 years (16.4%) (Appendix 3). Trends were consistent across VISNs. There was less of a difference between rural and urban referral percentages as the population aged. Veterans aged < 49 years residing in more urban areas accounted for more referrals to CC compared to their rural counterparts. This difference was less apparent in the 70 to 79 years and 80 to 89 years age brackets.

0225FED-ePT-A3

Most PT CC referrals (81.2%) were male and 14.8% were female. About 3.6% of referral data were missing sex information, and there was a smaller difference between male veterans living in rural communities and male veterans living in urban communities compared with female veterans. A total of 42.9% of male veterans resided in rural areas compared to 56.8% in urban areas; 32.7% of female veterans resided in rural areas compared to 66.9% in urban areas (Appendix 3).

Other Criteria

Of the 334,406 referrals, 114,983 (34.4%) had eligibility data, mostly from FY 2021 and FY 2022 (Table 3). Available eligibility data were likely affected by the MISSION Act and new regulations for reporting CC eligibility. Distance (33.4%) was the most common eligibility criteria, followed by timeliness of care (28.8%), and best medical interest (19.8%); 40.4% were rural and 59.5% were urban. Distance (55.4%) was most common for rural veterans, while timeliness of care (39.7%) was most common for urban veterans. For both groups, the second most common eligibility reason was best medical interest (Appendix 4).

0225FED-ePT-T30225FED-ePT-A4

Bone, joint, or soft tissue disorders were common diagnoses, with 25.2% located in the lower back, 14.7% in the shoulder, and 12.8% in the knee (Appendix 5). Amputations of the upper and lower limbs, fractures, cancer-related diagnoses, integumentary system disorders, thoracic and abdominal injuries and disorders, and other medical and mental health conditions each accounted for < 1% of the total diagnoses.

0225FED-ePT-A5
Costs

At time of analysis, the CC Dashboard had cost data available for 200,204 CC PT referrals from FY 2020 to FY 2022. The difference in referral numbers for the 2 datasets is likely attributed to several factors: CC cost data is exclusively from the HSRM, whereas Palantir includes other data sources; how VA cleans data pulled into Palantir; how the CC Dashboard algorithm populates data; and variances based on timing of reporting and/or if referrals are eventually canceled.

The total cost of PT CC referrals from FY 2020 to FY 2022 in selected VISNs was about $220,615,399 (Appendix 6). Appendix 7 details the methodology for determining the average standardized episode- of-care cost by VISN and how referral costs are calculated. Data show a continuous increase in total estimated cost from $46.8 million in FY 2020 to $92.1 million in FY 2022. From FY 2020 to FY 2022, aggregate costs ranged from $6,758,053 in VISN 2 to $47,209,162 in VISN 8 (Figure 3). The total referral cost for PT was highest at VISN 4 in FY 2020 ($10,447,140) and highest at VISN 22 in FY 2021 ($18,835,657) and FY 2022 ($22,962,438) (Figure 4). For referral costs from FY 2020 to FY 2022, distance accounted for $75,561,948 (34.3%), timeliness of care accounted for $60,413,496 (27.3%), and best medical interest accounted for $46,291,390 (21.0%) (Table 4).

0225FED-ePT-A70225FED-ePT-A6

 

0225FED-ePT-F30225FED-ePT-F40225FED-ePT-T4

Overall costs were primarily driven by specific VISNs within each eligibility type (Appendix 8; Figure 5). VISN 19, VISN 22, and VISN 15 accounted for the highest referral costs for distance; VISN 22, VISN 8, and VISN 19 accounted for the secondhighest referral cost, timeliness of care; and VISN 4, VISN 8, and VISN 12 accounted for the third-highest referral cost, best medical interest (Figure 5). VISN 2, VISN 4, VISN 12, VISN 15, and VISN 22 had service unavailable as an eligibility type with 1 of the top 3 associated referral costs, which was higher in cost than timeliness of care for VISN 2, VISN 4, VISN 12, and VISN 15.

0225FED-ePT-A280225FED-ePT-F5

Discussion

This study examines the referral of rehabilitation PT services to CC, evaluates CC costs for PT services, and analyzes utilization and cost trends among veterans within the VHA. Utilization data demonstrated a decrease in referrals from FY 2019 to FY 2020 and increases in referrals from FY 2020 to FY 2022 for most variables of interest, with cost data exhibiting similar trends. Results highlight the need for further investigation to address variations in PT referrals and costs across VISNs and eligibility reasons for CC referral.

Results demonstrated a noteworthy increase in PT CC referrals over time. The largest increase occurred from FY 2020 to FY 2021, with a smaller increase from FY 2021 to FY 2022. During this period, total enrollee numbers decreased by 3.0% across the 7 VISNs included in this analysis and by 1.6% across all VISNs, a trend that illustrates an overall decrease in enrollees as CC use increased. Results align with the implementation of the MISSION Act of 2018, which further expanded veterans’ options to use CC.1,6,7 Results also align with the onset of the COVID-19 pandemic, which disrupted care access for many veterans, placed a larger emphasis on the use of telehealth, and increased opportunities to stay within the VA for care by rapidly shifting to telehealth and leveraging telerehabilitation investments and initiatives (such as TR-EWI).20,31

VISN 8, VISN 19, and VISN 22, accounted for more than half of PT referrals. These VISNs had higher enrollee counts compared to the other VISNs.32 VISN 8 consistently had high levels of referrals, whereas VISN 19 and VISN 22 saw dramatic increases in FY 2021 and FY 2022. In contrast, VISN 4 and VISN 12 gradually decreased referrals during the study. VISN 2 had the lowest referral numbers during the study period, and all stations with the lowest individual referral numbers were located within VISN 2. Of the VISNs included in this study, VISN 2 had the second lowest number of enrollees (324,042).32 Reasons for increases and decreases over time could not be determined based on data collected in this study.

There were more urban than rural PT CC referrals; however, both exhibited an increase in referrals over time. This is consistent with population trends showing that most VHA patients (62.6%) and veterans (75.9%) reside in urban areas, which could explain some of the trends in this study.33 Some VISNs have larger urban catchment areas (eg, VISN 8 and VISN 22), and some have larger rural catchment areas (eg, VISN 15 and VISN 19), which could partially explain the rural-urban differences by VISN.32 Rural-urban referral trends might also reflect existing health care delivery system deficits in rural areas and known challenges associated with accessing health care for veterans living in rural communities.8,9

This study found larger differences in rural and urban PT CC referrals for younger age groups, with more than twice as many urban referrals in veterans aged 20 to 29 years and aged 30 to 39 years, and roughly 1.8 times as many urban referrals in veterans aged 40 to 49 years. However, there were similar numbers of rural and urban referrals in those aged 70 to 79 years and aged 80 to 89 years. These trends are consistent with data showing veterans residing in rural communities are older than their urban counterparts.23,34 Data suggest that older veteran populations might seek PT at higher rates than younger veteran populations. Moreover, data suggest there could be differences in PT-seeking rates for younger veteran populations who reside in rural vs urban areas. Additional research is needed to understand these trends.

Distance and timeliness of care were the predominant reasons for referral among eligibility groups, which is consistent with the MISSION Act goals.1,6,7 The most common eligibility reason for rural referrals was distance; timeliness of care was most common for urban referrals. This finding is expected, as veterans living in rural communities are farther away from VHA facilities and have longer drive times, whereas veterans living in urban communities might live closer, yet experience longer wait times due to services and/or appointment availability. Best medical interest accounted for almost 20% of referrals, which does not provide detailed insights into why those veterans were referred to CC.

The top PT diagnoses referred to CC were related to bone, joint, or soft tissue disorders of the lower back, shoulder, and knee. This suggests that musculoskeletal-related issues are prevalent among veterans seeking PT care, which is consistent with research that found > 50% of veterans receiving VHA care have musculoskeletal disorders.35 The probability of experiencing musculoskeletal problems increases with age, as does the need for PT services. Amputations and fractures accounted for < 1% of CC referrals, which is consistent with the historic provision of VHA clinical specialized care to conditions prevalent among veterans. It may also represent VHA efforts to internally provide care for complex conditions requiring more extensive interdisciplinary coordination.

The total cost of referrals over time was about $221 million. VISN 8 accounted for the highest overall cost; VISN 2 had the lowest, mirroring referral utilization trends and aligning with VISN enrollee numbers. VISN 19 and VISN 22 reported large cost increases from FY 2020 to FY 2021. Total referral costs increased by $34.9 million from FY 2020 to FY 2021, which may be due to health care inflation (2.9% during FY 2019 to FY 2022), increased awareness of CC services, or increased VHA wait times.36 Additionally, there were limitations in care provided across health care systems during the COVID-19 pandemic, including the VA.5 The increase from FY 2020 to FY 2021 may reflect a rebound from restrictions in appointments across VA, CC, and the private sector.

While the increase in total referral cost may be partly attributed to inflation, the cost effectiveness and efficiency of referring veterans to CC vs keeping veterans within VHA care is an ongoing debate.5 Examining and addressing cost drivers within the top eligibility types and their respective VISNs is necessary to determine resource allocation and improve quality of care. This study found that best medical interest and unavailable services accounted for 33.4% of the total cost of CC referrals, highlighting the need for policies that strengthen in-house competencies and recruit personnel to provide PT services currently unavailable within the VA.

Future Directions

The VHA should explore opportunities for in-house care, especially for services appropriate for telehealth.18,20,37 Data indicated a smaller cost increase from FY 2021 to FY 2022 compared to the relatively large increase from FY 2020 to FY 2021. The increased telehealth usage across VHA by TR-EWI and non—TR-EWI sites within selected VISNs may have contributed to limiting the increase in CC costs. Future studies should investigate contextual factors of increased telehealth usage, which would offer guidance for implementation to optimize the integration of telehealth with PT rehabilitation provided in-house. Additionally, future studies can examine potential limitations experienced during PT telehealth visits, such as the inability to conduct hands-on assessments, challenges in viewing the quality of patient movement, ensuring patient safety in the remote environment, and the lack of PT equipment in homes for telehealth visits, and how these challenges are being addressed.38,39 Research is also needed to understand tradeoffs of CC vs VHA care and the potential and cost benefits of keeping veterans within VHA using programs like TR-EWI.5 Veterans living in rural communities may especially benefit from this as expanding telehealth options can provide access to PT care that may not be readily available, enabling them to stay connected and engaged in their care.18,40

Future studies could examine contributory factors to rising costs, such as demographic shifts, changes in PT service utilization, and policy. Researchers might also consider qualitative studies with clinicians and veterans within each VISN, which may provide insights into how local factors impact PT referral to the community.

Limitations

Due to its descriptive nature, this study can only speculate about factors influencing trends. Limitations include the inability to link the Palantir and CC Dashboard datasets for cost comparisons and potential data change over time on Palantir due to platform updates. The focus on VISNs with TREWI sites limited generalizability and this study did not compare CC PT vs VHA PT. Finally, there may have been cost drivers not identified in this study.

Conclusions

This descriptive study provides insights into the utilization and cost of PT CC referrals for selected VISNs. Cost trends underscore the financial commitment to providing PT services to veterans. Understanding what factors are driving this cost is necessary for VHA to optimally provide and manage the rehabilitation resources needed to serve veterans through traditional in-person care, telehealth, and CC options while ensuring timely, highquality care.

References
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  34. Lum HD, Nearing K, Pimentel CB, Levy CR, Hung WW. Anywhere to anywhere: use of telehealth to increase health care access for older, rural veterans. Public Policy Aging Rep. 2020;30(1):12-18. doi:10.1093/ppar/prz030
  35. Goulet JL, Kerns RD, Bair M, et al. The musculoskeletal diagnosis cohort: examining pain and pain care among veterans. Pain. 2016;157(8):1696-1703. doi:10.1097/j.pain.0000000000000567
  36. US Inflation Calculator. Health Care Inflation in the United States (1948-2024). Accessed September 23, 2024. https://www.usinflationcalculator.com/inflation/health-care-inflation-in-the-united-states/
  37. Cottrell MA, Galea OA, O’Leary SP, Hill AJ, Russell TG. Real-time telerehabilitation for the treatment of musculoskeletal conditions is effective and comparable to standard practice: a systematic review and meta-analysis. Clin Rehabil. 2017;31(5):625-638. doi:10.1177/0269215516645148
  38. Elor A, Conde S, Powel l M, Robbins A, Chen NN, Kurniawan S. Physical therapist impressions of telehealth and virtual reality needs amidst a pandemic. Front Virtual Real. 2022;3. doi:10.3389/frvir.2022.915332
  39. Lee AC, Harada N. Telehealth as a means of health care delivery for physical therapist practice. Phys Ther. 2012;92(3):463-468. doi:10.2522/ptj.20110100
  40. Hynes DM, Edwards S, Hickok A, et al. Veterans’ use of Veterans Health Administration primary care in an era of expanding choice. Med Care. 2021;59(Suppl 3):S292- S300. doi:10.1097/MLR.0000000000001554
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Kelsea LeBeau, PhD, MPHa; Zaccheus J. Ahonle, PhD, CRCa,b; Sharon N. Mburu, PT, MSa,c; Sergio Romero, PhDa; Keith J. Myers, DPT, MBAa

Author affiliations:
aVeterans Rural Health Resource Center, Gainesville, Florida
bMississippi State University, Starkville
cUniversity of Florida, Gainesville

Author disclosures: The authors report no actual or potential conflicts of interest concerning this article.

Correspondence: Kelsea LeBeau ([email protected])

Fed Pract. 2025;42(2). Published online February 18. doi:10.12788/fp.0556

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Kelsea LeBeau, PhD, MPHa; Zaccheus J. Ahonle, PhD, CRCa,b; Sharon N. Mburu, PT, MSa,c; Sergio Romero, PhDa; Keith J. Myers, DPT, MBAa

Author affiliations:
aVeterans Rural Health Resource Center, Gainesville, Florida
bMississippi State University, Starkville
cUniversity of Florida, Gainesville

Author disclosures: The authors report no actual or potential conflicts of interest concerning this article.

Correspondence: Kelsea LeBeau ([email protected])

Fed Pract. 2025;42(2). Published online February 18. doi:10.12788/fp.0556

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Kelsea LeBeau, PhD, MPHa; Zaccheus J. Ahonle, PhD, CRCa,b; Sharon N. Mburu, PT, MSa,c; Sergio Romero, PhDa; Keith J. Myers, DPT, MBAa

Author affiliations:
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bMississippi State University, Starkville
cUniversity of Florida, Gainesville

Author disclosures: The authors report no actual or potential conflicts of interest concerning this article.

Correspondence: Kelsea LeBeau ([email protected])

Fed Pract. 2025;42(2). Published online February 18. doi:10.12788/fp.0556

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The Veterans Health Administration (VHA) is the largest US integrated health system, providing care to veterans through VHA and non-VHA practitioners and facilities.1,2 Providing high-quality, timely, and veteran-centric care remains a priority for the VHA. Legislative efforts have expanded opportunities for eligible veterans to receive care in the community purchased by VHA, known as community care (CC).1 The Veterans Access, Choice, and Accountability Act of 2014 came in response to reports of long wait times and drive times for patients.3-5 The MISSION Act of 2018 expanded access to CC by streamlining it and broadening eligibility criteria, especially for veterans in rural communities who often experience more barriers in accessing care than veterans living in urban communities.1,6-10 Since the implementation of the Choice and MISSION Acts, > 2.7 million veterans have received care through community practitioners within the VHA CC network.11

Background

Increased access to CC could benefit veterans living in rural communities by increasing care options and circumventing challenges to accessing VHA care (ie, geographic, transportation, and distance barriers, practitioner and specialist shortages, and hospital closures). 5,9,10,12,13 However, health care system deficits in rural areas could also limit CC effectiveness for veterans living in those communities. 3 Other challenges posed by using CC include care coordination, information sharing, care continuity, delayed payments to CC practitioners, and mixed findings regarding CC quality.5,8,13,14 VHA practitioners are specifically trained to meet the multifaceted needs unique to veterans’ health and subculture, training CC practitioners may not receive.5,15

CC offers services for primary care and a broad range of specialties, including rehabilitation services such as physical therapy (PT).6 PT is used for the effective treatment of various conditions veterans experience and promote wellbeing and independence.16 US Department of Veterans Affairs (VA) databases reveal a high prevalence of veterans receiving PT services through CC; PT is one of the most frequently used CC outpatient specialty services by veterans living in rural communities.14,17

Telerehabitltation Enterprisewide Initiative

VHA has greatly invested in delivering care virtually, especially for veterans living in rural communities.18 In 2017, the VHA Office of Rural Health funded the Telerehabilitation Enterprise-Wide Initiative (TR-EWI) in partnership with the Physical Medicine and Rehabilitation Services national program office to increase access to specialized rehabilitation services for veterans living in rural communities by leveraging telehealth technologies.18-21 This alternative mode of health care delivery allows clinicians to overcome access barriers by delivering rehabilitation therapies directly to veterans' homes or nearby community-based outpatient clinics. TR-EWI was conceived as a hub-and-spoke model, where rehabilitation expertise at the hub was virtually delivered to spoke sites that did not have in-house expertise. In subsequent years, the TR-EWI also evolved to provide targeted telerehabilitation programs within rural-serving community-based outpatient clinics, including PT as a predominant service.19,20

As TR-EWI progressed—and in conjunction with the uptake of telehealth across VHA during the COVID-19 pandemic—there has been increased focus on PT telerehabilitation, especially for the 4.6 million veterans in rural communities.18,22,23 Because health care delivery system deficits in rural areas could limit the effective use of CC, many TR-EWI sites hope to reduce their CC referrals by providing telehealth PT services to veterans who might otherwise need to be referred to CC. This strategy aligns with VHA goals of providing high-quality and timely care. To better understand opportunities for programs like TR-EWI to provide rehabilitation services for veterans and reduce care sent to the community, research that examines CC referral trends for PT over time is warranted.

This study examines CC from a rehabilitation perspective with a focus on CC referral trends for PT, specifically for Veterans Integrated Service Networks (VISNs) where TREWI sites are located. The study’s objectives were to describe rehabilitation PT services being referred to CC and examine associated CC costs for PT services. Two research questions guided the study. First, what are the utilization trends for CC PT referrals from fiscal year (FY) 2019 to FY 2022? Secondly, what is the cost breakdown of CC for PT referrals from FY 2020 to FY 2022?

Methods

This study was conducted by a multidisciplinary team comprised of public health, disability, rehabilitation counseling, and PT professionals. It was deemed a quality improvement project under VA guidance and followed the SQUIRE guidelines for quality improvement reporting.24,25 The study used the VA Common Operating Platform (Palantir) to obtain individual-level CC referral data from the HealthShare Referral Manager (HSRM) database and consult data from the Computerized Patient Record System. Palantir is used to store and integrate VA data derived from the VA Corporate Data Warehouse and VHA Support Service Center. Referrals are authorizations for care to be delivered by a CC practitioner.

TR-EWI is comprised of 7 sites: VISN 2, VISN 4, VISN 8, VISN 12, VISN 15, VISN 19, and VISN 22. Each site provides telerehabilitation services with an emphasis on reaching veterans living in rural communities. We joined the referrals and consults cubes in Palantir to extract PT referrals for FY 2019 to FY 2022 for the 7 VISNs with TR-EWI sites and obtain referral-specific information and demographic characteristics. 26 Data were extracted in October 2022.

The VHA Community Care Referral Dashboard (CC Dashboard) provided nonindividual level CC cost data.27 The CC Dashboard provides insights into the costs of CC services for VHA enrollees by category of care, standardized episode of care, and eligibility. Data are based on nationallevel HSRM referrals that are not suspended or linked to a canceled or discontinued consult. Data were aggregated by VISN. The dashboard only includes referrals dating back to FY 2020; therefore, PT data from FY 2020 through FY 2022 for VISNs with TR-EWI sites were collected. Data were extracted in December 2022.

This study examined CC referrals, station name, eligibility types, clinical diagnoses (International Classification of Diseases, Tenth Revision codes), and demographic information in the Palantir dataset. Six eligibility criteria can qualify a veteran to receive CC.28 Within clinical diagnoses, the variable of interest was the provisional diagnosis. Patient demographics included age, gender, and rurality of residence, as determined by the Rural-Urban Commuting Area system.29,30 Rural and highly rural categories were combined for analysis. For the CC cost dataset, this study examined CC referrals, referral cost, and eligibility type.

Analysis

For the first research question, we examined referral data from FY 2019 to FY 2022 using the Palantir dataset, performed descriptive statistical analysis for all variables, and analyzed data to identify trends. Descriptive statistics were completed using IBM SPSS Statistics for Windows Version 29.0.0.0.

A qualitative analysis of provisional diagnosis data revealed what is being referred to CC for PT. A preliminary overview of provisional diagnosis data was conducted to familiarize coders with the data. We developed a coding framework to categorize diagnoses based on anatomical location, body structure, and clinical areas of interest. Data were reviewed individually and grouped into categories within the coding framework before meeting as a team to achieve group consensus on categorization. We then totaled the frequency of occurrence for provisional diagnoses within each category. Qualitative analyses were completed using Microsoft Excel.

For the second research question, the study used the CC cost dataset to examine the cost breakdown of CC PT referrals from FY 2020 to FY 2022. We calculated the number and cost of PT referrals across eligibility groups for each FY and VISN. Data were analyzed using SPSS to identify cost trends.

Results

There were 344,406 referrals to CC for PT from FY 2019 to FY 2022 for the 7 VISNs analyzed (Table 1). Of these, 22.5% were from FY 2019, 19.1% from FY 2020, 28.2% from FY 2021, and 30.3% from FY 2022. VISN 8 and VISN 22 reported the most overall PT referrals, with VISN 8 comprising 22.2% and VISN 22 comprising 18.1% of all referrals. VISN 2 reported the least overall referrals (3.7%). VISN 4 and VISN 12 had decreases in referrals over time. VISN 2 and VISN 15 had decreases in referrals from FY 2019 to FY 2021 and slight increases from FY 2021 to FY 2022. VISN 19 and VISN 22 both saw slight increases from FY 2019 to FY 2020 and substantial increases from FY 2020 to FY 2022, with FY 2022 accounting for 40.0% and 42.3% of all referrals for VISN 19 and VISN 20, respectively (Figure 1).

0225FED-ePT-T10225FED-ePT-F1

For FY 2019 and FY 2020, VISN 8 had the highest percentage of referrals (26.7% and 23.2%, respectively), whereas VISN 22 was among the lowest (7.3% and 11.4%, respectively). However, for FY 2021 and FY 2022, VISN 22 reported the highest percentage of referrals (23.5% and 25.3%, respectively) compared to all other VISNs. VISN 2 consistently reported the lowest percentage of referrals across all years.

There were 56 stations analyzed across the 7 VISNs (Appendix 1). Nine stations each accounted for ≥ 3.0% of the total PT referrals and only 2 stations accounted for > 5.0% of referrals. Orlando, Florida (6.0%), Philadelphia, Pennsylvania (5.2%), Tampa, Florida (4.9%), Aurora, Colorado (4.9%), and Gainesville, Florida (4.4%) reported the top 5 highest referrals, with 3 being from VISN 8 (Orlando, Tampa, Gainesville). Stations with the lowest reported referrals were all in VISN 2 in New York: The Bronx, (0%), New York Harbor (0%), Hudson Valley (0.1%) and Finger Lakes (0.2%).

0225FED-ePT-A1
Rurality

Urban stations comprised 56.2% and rural stations comprised 39.8% of PT CC referrals, while 0.2% of referrals were from insular isle US territories: Guam, American Samoa, Northern Marianas, and the Virgin Islands. The sample had missing or unknown data for 3.8% of referrals. FY 2022 had the largest difference in rural and urban referrals. Additionally, there was an overall trend of more referrals over time for rural and urban, with a large increase in rural (+40.0%) and urban (+62.7%) referrals from FY 2020 to FY 2021 and a modest increase from FY 2021 to FY 2022 (+5.2% for rural and +9.1% for urban). There was a decrease in rural (-7.0%) and urban (-3.5%) referrals from FY 2019 to FY 2020 (Figure 2).

0225FED-ePT-F2

There were differences in referrals by rurality and VISN (Table 2). VISN 12, VISN 15, and VISN 19 reported more rural than urban referrals, whereas VISN 4, VISN 8, and VISN 22 reported more urban than rural referrals. VISN 2 reported similar numbers for both, with slightly more urban than rural referrals. When reviewing trends over time for each FY, VISN 12, VISN 15, and VISN 19 reported more rural than urban referrals and VISN 4, VISN 8, and VISN 22 had more urban than rural referrals. In FY 2019 and FY 2020, VISN 2 reported slightly more urban than rural referrals but almost the same number of referrals in FY 2021 and FY 2022 (Appendix 2).

0225FED-ePT-T20225FED-ePT-A2
Demographics

The mean (SD) age was 61.2 (15.8) years (range, 20-105). Most PT CC referrals were for veterans aged 70 to 79 years (26.9%), followed by 60 to 69 years (20.7%), and 50 to 59 years (16.4%) (Appendix 3). Trends were consistent across VISNs. There was less of a difference between rural and urban referral percentages as the population aged. Veterans aged < 49 years residing in more urban areas accounted for more referrals to CC compared to their rural counterparts. This difference was less apparent in the 70 to 79 years and 80 to 89 years age brackets.

0225FED-ePT-A3

Most PT CC referrals (81.2%) were male and 14.8% were female. About 3.6% of referral data were missing sex information, and there was a smaller difference between male veterans living in rural communities and male veterans living in urban communities compared with female veterans. A total of 42.9% of male veterans resided in rural areas compared to 56.8% in urban areas; 32.7% of female veterans resided in rural areas compared to 66.9% in urban areas (Appendix 3).

Other Criteria

Of the 334,406 referrals, 114,983 (34.4%) had eligibility data, mostly from FY 2021 and FY 2022 (Table 3). Available eligibility data were likely affected by the MISSION Act and new regulations for reporting CC eligibility. Distance (33.4%) was the most common eligibility criteria, followed by timeliness of care (28.8%), and best medical interest (19.8%); 40.4% were rural and 59.5% were urban. Distance (55.4%) was most common for rural veterans, while timeliness of care (39.7%) was most common for urban veterans. For both groups, the second most common eligibility reason was best medical interest (Appendix 4).

0225FED-ePT-T30225FED-ePT-A4

Bone, joint, or soft tissue disorders were common diagnoses, with 25.2% located in the lower back, 14.7% in the shoulder, and 12.8% in the knee (Appendix 5). Amputations of the upper and lower limbs, fractures, cancer-related diagnoses, integumentary system disorders, thoracic and abdominal injuries and disorders, and other medical and mental health conditions each accounted for < 1% of the total diagnoses.

0225FED-ePT-A5
Costs

At time of analysis, the CC Dashboard had cost data available for 200,204 CC PT referrals from FY 2020 to FY 2022. The difference in referral numbers for the 2 datasets is likely attributed to several factors: CC cost data is exclusively from the HSRM, whereas Palantir includes other data sources; how VA cleans data pulled into Palantir; how the CC Dashboard algorithm populates data; and variances based on timing of reporting and/or if referrals are eventually canceled.

The total cost of PT CC referrals from FY 2020 to FY 2022 in selected VISNs was about $220,615,399 (Appendix 6). Appendix 7 details the methodology for determining the average standardized episode- of-care cost by VISN and how referral costs are calculated. Data show a continuous increase in total estimated cost from $46.8 million in FY 2020 to $92.1 million in FY 2022. From FY 2020 to FY 2022, aggregate costs ranged from $6,758,053 in VISN 2 to $47,209,162 in VISN 8 (Figure 3). The total referral cost for PT was highest at VISN 4 in FY 2020 ($10,447,140) and highest at VISN 22 in FY 2021 ($18,835,657) and FY 2022 ($22,962,438) (Figure 4). For referral costs from FY 2020 to FY 2022, distance accounted for $75,561,948 (34.3%), timeliness of care accounted for $60,413,496 (27.3%), and best medical interest accounted for $46,291,390 (21.0%) (Table 4).

0225FED-ePT-A70225FED-ePT-A6

 

0225FED-ePT-F30225FED-ePT-F40225FED-ePT-T4

Overall costs were primarily driven by specific VISNs within each eligibility type (Appendix 8; Figure 5). VISN 19, VISN 22, and VISN 15 accounted for the highest referral costs for distance; VISN 22, VISN 8, and VISN 19 accounted for the secondhighest referral cost, timeliness of care; and VISN 4, VISN 8, and VISN 12 accounted for the third-highest referral cost, best medical interest (Figure 5). VISN 2, VISN 4, VISN 12, VISN 15, and VISN 22 had service unavailable as an eligibility type with 1 of the top 3 associated referral costs, which was higher in cost than timeliness of care for VISN 2, VISN 4, VISN 12, and VISN 15.

0225FED-ePT-A280225FED-ePT-F5

Discussion

This study examines the referral of rehabilitation PT services to CC, evaluates CC costs for PT services, and analyzes utilization and cost trends among veterans within the VHA. Utilization data demonstrated a decrease in referrals from FY 2019 to FY 2020 and increases in referrals from FY 2020 to FY 2022 for most variables of interest, with cost data exhibiting similar trends. Results highlight the need for further investigation to address variations in PT referrals and costs across VISNs and eligibility reasons for CC referral.

Results demonstrated a noteworthy increase in PT CC referrals over time. The largest increase occurred from FY 2020 to FY 2021, with a smaller increase from FY 2021 to FY 2022. During this period, total enrollee numbers decreased by 3.0% across the 7 VISNs included in this analysis and by 1.6% across all VISNs, a trend that illustrates an overall decrease in enrollees as CC use increased. Results align with the implementation of the MISSION Act of 2018, which further expanded veterans’ options to use CC.1,6,7 Results also align with the onset of the COVID-19 pandemic, which disrupted care access for many veterans, placed a larger emphasis on the use of telehealth, and increased opportunities to stay within the VA for care by rapidly shifting to telehealth and leveraging telerehabilitation investments and initiatives (such as TR-EWI).20,31

VISN 8, VISN 19, and VISN 22, accounted for more than half of PT referrals. These VISNs had higher enrollee counts compared to the other VISNs.32 VISN 8 consistently had high levels of referrals, whereas VISN 19 and VISN 22 saw dramatic increases in FY 2021 and FY 2022. In contrast, VISN 4 and VISN 12 gradually decreased referrals during the study. VISN 2 had the lowest referral numbers during the study period, and all stations with the lowest individual referral numbers were located within VISN 2. Of the VISNs included in this study, VISN 2 had the second lowest number of enrollees (324,042).32 Reasons for increases and decreases over time could not be determined based on data collected in this study.

There were more urban than rural PT CC referrals; however, both exhibited an increase in referrals over time. This is consistent with population trends showing that most VHA patients (62.6%) and veterans (75.9%) reside in urban areas, which could explain some of the trends in this study.33 Some VISNs have larger urban catchment areas (eg, VISN 8 and VISN 22), and some have larger rural catchment areas (eg, VISN 15 and VISN 19), which could partially explain the rural-urban differences by VISN.32 Rural-urban referral trends might also reflect existing health care delivery system deficits in rural areas and known challenges associated with accessing health care for veterans living in rural communities.8,9

This study found larger differences in rural and urban PT CC referrals for younger age groups, with more than twice as many urban referrals in veterans aged 20 to 29 years and aged 30 to 39 years, and roughly 1.8 times as many urban referrals in veterans aged 40 to 49 years. However, there were similar numbers of rural and urban referrals in those aged 70 to 79 years and aged 80 to 89 years. These trends are consistent with data showing veterans residing in rural communities are older than their urban counterparts.23,34 Data suggest that older veteran populations might seek PT at higher rates than younger veteran populations. Moreover, data suggest there could be differences in PT-seeking rates for younger veteran populations who reside in rural vs urban areas. Additional research is needed to understand these trends.

Distance and timeliness of care were the predominant reasons for referral among eligibility groups, which is consistent with the MISSION Act goals.1,6,7 The most common eligibility reason for rural referrals was distance; timeliness of care was most common for urban referrals. This finding is expected, as veterans living in rural communities are farther away from VHA facilities and have longer drive times, whereas veterans living in urban communities might live closer, yet experience longer wait times due to services and/or appointment availability. Best medical interest accounted for almost 20% of referrals, which does not provide detailed insights into why those veterans were referred to CC.

The top PT diagnoses referred to CC were related to bone, joint, or soft tissue disorders of the lower back, shoulder, and knee. This suggests that musculoskeletal-related issues are prevalent among veterans seeking PT care, which is consistent with research that found > 50% of veterans receiving VHA care have musculoskeletal disorders.35 The probability of experiencing musculoskeletal problems increases with age, as does the need for PT services. Amputations and fractures accounted for < 1% of CC referrals, which is consistent with the historic provision of VHA clinical specialized care to conditions prevalent among veterans. It may also represent VHA efforts to internally provide care for complex conditions requiring more extensive interdisciplinary coordination.

The total cost of referrals over time was about $221 million. VISN 8 accounted for the highest overall cost; VISN 2 had the lowest, mirroring referral utilization trends and aligning with VISN enrollee numbers. VISN 19 and VISN 22 reported large cost increases from FY 2020 to FY 2021. Total referral costs increased by $34.9 million from FY 2020 to FY 2021, which may be due to health care inflation (2.9% during FY 2019 to FY 2022), increased awareness of CC services, or increased VHA wait times.36 Additionally, there were limitations in care provided across health care systems during the COVID-19 pandemic, including the VA.5 The increase from FY 2020 to FY 2021 may reflect a rebound from restrictions in appointments across VA, CC, and the private sector.

While the increase in total referral cost may be partly attributed to inflation, the cost effectiveness and efficiency of referring veterans to CC vs keeping veterans within VHA care is an ongoing debate.5 Examining and addressing cost drivers within the top eligibility types and their respective VISNs is necessary to determine resource allocation and improve quality of care. This study found that best medical interest and unavailable services accounted for 33.4% of the total cost of CC referrals, highlighting the need for policies that strengthen in-house competencies and recruit personnel to provide PT services currently unavailable within the VA.

Future Directions

The VHA should explore opportunities for in-house care, especially for services appropriate for telehealth.18,20,37 Data indicated a smaller cost increase from FY 2021 to FY 2022 compared to the relatively large increase from FY 2020 to FY 2021. The increased telehealth usage across VHA by TR-EWI and non—TR-EWI sites within selected VISNs may have contributed to limiting the increase in CC costs. Future studies should investigate contextual factors of increased telehealth usage, which would offer guidance for implementation to optimize the integration of telehealth with PT rehabilitation provided in-house. Additionally, future studies can examine potential limitations experienced during PT telehealth visits, such as the inability to conduct hands-on assessments, challenges in viewing the quality of patient movement, ensuring patient safety in the remote environment, and the lack of PT equipment in homes for telehealth visits, and how these challenges are being addressed.38,39 Research is also needed to understand tradeoffs of CC vs VHA care and the potential and cost benefits of keeping veterans within VHA using programs like TR-EWI.5 Veterans living in rural communities may especially benefit from this as expanding telehealth options can provide access to PT care that may not be readily available, enabling them to stay connected and engaged in their care.18,40

Future studies could examine contributory factors to rising costs, such as demographic shifts, changes in PT service utilization, and policy. Researchers might also consider qualitative studies with clinicians and veterans within each VISN, which may provide insights into how local factors impact PT referral to the community.

Limitations

Due to its descriptive nature, this study can only speculate about factors influencing trends. Limitations include the inability to link the Palantir and CC Dashboard datasets for cost comparisons and potential data change over time on Palantir due to platform updates. The focus on VISNs with TREWI sites limited generalizability and this study did not compare CC PT vs VHA PT. Finally, there may have been cost drivers not identified in this study.

Conclusions

This descriptive study provides insights into the utilization and cost of PT CC referrals for selected VISNs. Cost trends underscore the financial commitment to providing PT services to veterans. Understanding what factors are driving this cost is necessary for VHA to optimally provide and manage the rehabilitation resources needed to serve veterans through traditional in-person care, telehealth, and CC options while ensuring timely, highquality care.

 

The Veterans Health Administration (VHA) is the largest US integrated health system, providing care to veterans through VHA and non-VHA practitioners and facilities.1,2 Providing high-quality, timely, and veteran-centric care remains a priority for the VHA. Legislative efforts have expanded opportunities for eligible veterans to receive care in the community purchased by VHA, known as community care (CC).1 The Veterans Access, Choice, and Accountability Act of 2014 came in response to reports of long wait times and drive times for patients.3-5 The MISSION Act of 2018 expanded access to CC by streamlining it and broadening eligibility criteria, especially for veterans in rural communities who often experience more barriers in accessing care than veterans living in urban communities.1,6-10 Since the implementation of the Choice and MISSION Acts, > 2.7 million veterans have received care through community practitioners within the VHA CC network.11

Background

Increased access to CC could benefit veterans living in rural communities by increasing care options and circumventing challenges to accessing VHA care (ie, geographic, transportation, and distance barriers, practitioner and specialist shortages, and hospital closures). 5,9,10,12,13 However, health care system deficits in rural areas could also limit CC effectiveness for veterans living in those communities. 3 Other challenges posed by using CC include care coordination, information sharing, care continuity, delayed payments to CC practitioners, and mixed findings regarding CC quality.5,8,13,14 VHA practitioners are specifically trained to meet the multifaceted needs unique to veterans’ health and subculture, training CC practitioners may not receive.5,15

CC offers services for primary care and a broad range of specialties, including rehabilitation services such as physical therapy (PT).6 PT is used for the effective treatment of various conditions veterans experience and promote wellbeing and independence.16 US Department of Veterans Affairs (VA) databases reveal a high prevalence of veterans receiving PT services through CC; PT is one of the most frequently used CC outpatient specialty services by veterans living in rural communities.14,17

Telerehabitltation Enterprisewide Initiative

VHA has greatly invested in delivering care virtually, especially for veterans living in rural communities.18 In 2017, the VHA Office of Rural Health funded the Telerehabilitation Enterprise-Wide Initiative (TR-EWI) in partnership with the Physical Medicine and Rehabilitation Services national program office to increase access to specialized rehabilitation services for veterans living in rural communities by leveraging telehealth technologies.18-21 This alternative mode of health care delivery allows clinicians to overcome access barriers by delivering rehabilitation therapies directly to veterans' homes or nearby community-based outpatient clinics. TR-EWI was conceived as a hub-and-spoke model, where rehabilitation expertise at the hub was virtually delivered to spoke sites that did not have in-house expertise. In subsequent years, the TR-EWI also evolved to provide targeted telerehabilitation programs within rural-serving community-based outpatient clinics, including PT as a predominant service.19,20

As TR-EWI progressed—and in conjunction with the uptake of telehealth across VHA during the COVID-19 pandemic—there has been increased focus on PT telerehabilitation, especially for the 4.6 million veterans in rural communities.18,22,23 Because health care delivery system deficits in rural areas could limit the effective use of CC, many TR-EWI sites hope to reduce their CC referrals by providing telehealth PT services to veterans who might otherwise need to be referred to CC. This strategy aligns with VHA goals of providing high-quality and timely care. To better understand opportunities for programs like TR-EWI to provide rehabilitation services for veterans and reduce care sent to the community, research that examines CC referral trends for PT over time is warranted.

This study examines CC from a rehabilitation perspective with a focus on CC referral trends for PT, specifically for Veterans Integrated Service Networks (VISNs) where TREWI sites are located. The study’s objectives were to describe rehabilitation PT services being referred to CC and examine associated CC costs for PT services. Two research questions guided the study. First, what are the utilization trends for CC PT referrals from fiscal year (FY) 2019 to FY 2022? Secondly, what is the cost breakdown of CC for PT referrals from FY 2020 to FY 2022?

Methods

This study was conducted by a multidisciplinary team comprised of public health, disability, rehabilitation counseling, and PT professionals. It was deemed a quality improvement project under VA guidance and followed the SQUIRE guidelines for quality improvement reporting.24,25 The study used the VA Common Operating Platform (Palantir) to obtain individual-level CC referral data from the HealthShare Referral Manager (HSRM) database and consult data from the Computerized Patient Record System. Palantir is used to store and integrate VA data derived from the VA Corporate Data Warehouse and VHA Support Service Center. Referrals are authorizations for care to be delivered by a CC practitioner.

TR-EWI is comprised of 7 sites: VISN 2, VISN 4, VISN 8, VISN 12, VISN 15, VISN 19, and VISN 22. Each site provides telerehabilitation services with an emphasis on reaching veterans living in rural communities. We joined the referrals and consults cubes in Palantir to extract PT referrals for FY 2019 to FY 2022 for the 7 VISNs with TR-EWI sites and obtain referral-specific information and demographic characteristics. 26 Data were extracted in October 2022.

The VHA Community Care Referral Dashboard (CC Dashboard) provided nonindividual level CC cost data.27 The CC Dashboard provides insights into the costs of CC services for VHA enrollees by category of care, standardized episode of care, and eligibility. Data are based on nationallevel HSRM referrals that are not suspended or linked to a canceled or discontinued consult. Data were aggregated by VISN. The dashboard only includes referrals dating back to FY 2020; therefore, PT data from FY 2020 through FY 2022 for VISNs with TR-EWI sites were collected. Data were extracted in December 2022.

This study examined CC referrals, station name, eligibility types, clinical diagnoses (International Classification of Diseases, Tenth Revision codes), and demographic information in the Palantir dataset. Six eligibility criteria can qualify a veteran to receive CC.28 Within clinical diagnoses, the variable of interest was the provisional diagnosis. Patient demographics included age, gender, and rurality of residence, as determined by the Rural-Urban Commuting Area system.29,30 Rural and highly rural categories were combined for analysis. For the CC cost dataset, this study examined CC referrals, referral cost, and eligibility type.

Analysis

For the first research question, we examined referral data from FY 2019 to FY 2022 using the Palantir dataset, performed descriptive statistical analysis for all variables, and analyzed data to identify trends. Descriptive statistics were completed using IBM SPSS Statistics for Windows Version 29.0.0.0.

A qualitative analysis of provisional diagnosis data revealed what is being referred to CC for PT. A preliminary overview of provisional diagnosis data was conducted to familiarize coders with the data. We developed a coding framework to categorize diagnoses based on anatomical location, body structure, and clinical areas of interest. Data were reviewed individually and grouped into categories within the coding framework before meeting as a team to achieve group consensus on categorization. We then totaled the frequency of occurrence for provisional diagnoses within each category. Qualitative analyses were completed using Microsoft Excel.

For the second research question, the study used the CC cost dataset to examine the cost breakdown of CC PT referrals from FY 2020 to FY 2022. We calculated the number and cost of PT referrals across eligibility groups for each FY and VISN. Data were analyzed using SPSS to identify cost trends.

Results

There were 344,406 referrals to CC for PT from FY 2019 to FY 2022 for the 7 VISNs analyzed (Table 1). Of these, 22.5% were from FY 2019, 19.1% from FY 2020, 28.2% from FY 2021, and 30.3% from FY 2022. VISN 8 and VISN 22 reported the most overall PT referrals, with VISN 8 comprising 22.2% and VISN 22 comprising 18.1% of all referrals. VISN 2 reported the least overall referrals (3.7%). VISN 4 and VISN 12 had decreases in referrals over time. VISN 2 and VISN 15 had decreases in referrals from FY 2019 to FY 2021 and slight increases from FY 2021 to FY 2022. VISN 19 and VISN 22 both saw slight increases from FY 2019 to FY 2020 and substantial increases from FY 2020 to FY 2022, with FY 2022 accounting for 40.0% and 42.3% of all referrals for VISN 19 and VISN 20, respectively (Figure 1).

0225FED-ePT-T10225FED-ePT-F1

For FY 2019 and FY 2020, VISN 8 had the highest percentage of referrals (26.7% and 23.2%, respectively), whereas VISN 22 was among the lowest (7.3% and 11.4%, respectively). However, for FY 2021 and FY 2022, VISN 22 reported the highest percentage of referrals (23.5% and 25.3%, respectively) compared to all other VISNs. VISN 2 consistently reported the lowest percentage of referrals across all years.

There were 56 stations analyzed across the 7 VISNs (Appendix 1). Nine stations each accounted for ≥ 3.0% of the total PT referrals and only 2 stations accounted for > 5.0% of referrals. Orlando, Florida (6.0%), Philadelphia, Pennsylvania (5.2%), Tampa, Florida (4.9%), Aurora, Colorado (4.9%), and Gainesville, Florida (4.4%) reported the top 5 highest referrals, with 3 being from VISN 8 (Orlando, Tampa, Gainesville). Stations with the lowest reported referrals were all in VISN 2 in New York: The Bronx, (0%), New York Harbor (0%), Hudson Valley (0.1%) and Finger Lakes (0.2%).

0225FED-ePT-A1
Rurality

Urban stations comprised 56.2% and rural stations comprised 39.8% of PT CC referrals, while 0.2% of referrals were from insular isle US territories: Guam, American Samoa, Northern Marianas, and the Virgin Islands. The sample had missing or unknown data for 3.8% of referrals. FY 2022 had the largest difference in rural and urban referrals. Additionally, there was an overall trend of more referrals over time for rural and urban, with a large increase in rural (+40.0%) and urban (+62.7%) referrals from FY 2020 to FY 2021 and a modest increase from FY 2021 to FY 2022 (+5.2% for rural and +9.1% for urban). There was a decrease in rural (-7.0%) and urban (-3.5%) referrals from FY 2019 to FY 2020 (Figure 2).

0225FED-ePT-F2

There were differences in referrals by rurality and VISN (Table 2). VISN 12, VISN 15, and VISN 19 reported more rural than urban referrals, whereas VISN 4, VISN 8, and VISN 22 reported more urban than rural referrals. VISN 2 reported similar numbers for both, with slightly more urban than rural referrals. When reviewing trends over time for each FY, VISN 12, VISN 15, and VISN 19 reported more rural than urban referrals and VISN 4, VISN 8, and VISN 22 had more urban than rural referrals. In FY 2019 and FY 2020, VISN 2 reported slightly more urban than rural referrals but almost the same number of referrals in FY 2021 and FY 2022 (Appendix 2).

0225FED-ePT-T20225FED-ePT-A2
Demographics

The mean (SD) age was 61.2 (15.8) years (range, 20-105). Most PT CC referrals were for veterans aged 70 to 79 years (26.9%), followed by 60 to 69 years (20.7%), and 50 to 59 years (16.4%) (Appendix 3). Trends were consistent across VISNs. There was less of a difference between rural and urban referral percentages as the population aged. Veterans aged < 49 years residing in more urban areas accounted for more referrals to CC compared to their rural counterparts. This difference was less apparent in the 70 to 79 years and 80 to 89 years age brackets.

0225FED-ePT-A3

Most PT CC referrals (81.2%) were male and 14.8% were female. About 3.6% of referral data were missing sex information, and there was a smaller difference between male veterans living in rural communities and male veterans living in urban communities compared with female veterans. A total of 42.9% of male veterans resided in rural areas compared to 56.8% in urban areas; 32.7% of female veterans resided in rural areas compared to 66.9% in urban areas (Appendix 3).

Other Criteria

Of the 334,406 referrals, 114,983 (34.4%) had eligibility data, mostly from FY 2021 and FY 2022 (Table 3). Available eligibility data were likely affected by the MISSION Act and new regulations for reporting CC eligibility. Distance (33.4%) was the most common eligibility criteria, followed by timeliness of care (28.8%), and best medical interest (19.8%); 40.4% were rural and 59.5% were urban. Distance (55.4%) was most common for rural veterans, while timeliness of care (39.7%) was most common for urban veterans. For both groups, the second most common eligibility reason was best medical interest (Appendix 4).

0225FED-ePT-T30225FED-ePT-A4

Bone, joint, or soft tissue disorders were common diagnoses, with 25.2% located in the lower back, 14.7% in the shoulder, and 12.8% in the knee (Appendix 5). Amputations of the upper and lower limbs, fractures, cancer-related diagnoses, integumentary system disorders, thoracic and abdominal injuries and disorders, and other medical and mental health conditions each accounted for < 1% of the total diagnoses.

0225FED-ePT-A5
Costs

At time of analysis, the CC Dashboard had cost data available for 200,204 CC PT referrals from FY 2020 to FY 2022. The difference in referral numbers for the 2 datasets is likely attributed to several factors: CC cost data is exclusively from the HSRM, whereas Palantir includes other data sources; how VA cleans data pulled into Palantir; how the CC Dashboard algorithm populates data; and variances based on timing of reporting and/or if referrals are eventually canceled.

The total cost of PT CC referrals from FY 2020 to FY 2022 in selected VISNs was about $220,615,399 (Appendix 6). Appendix 7 details the methodology for determining the average standardized episode- of-care cost by VISN and how referral costs are calculated. Data show a continuous increase in total estimated cost from $46.8 million in FY 2020 to $92.1 million in FY 2022. From FY 2020 to FY 2022, aggregate costs ranged from $6,758,053 in VISN 2 to $47,209,162 in VISN 8 (Figure 3). The total referral cost for PT was highest at VISN 4 in FY 2020 ($10,447,140) and highest at VISN 22 in FY 2021 ($18,835,657) and FY 2022 ($22,962,438) (Figure 4). For referral costs from FY 2020 to FY 2022, distance accounted for $75,561,948 (34.3%), timeliness of care accounted for $60,413,496 (27.3%), and best medical interest accounted for $46,291,390 (21.0%) (Table 4).

0225FED-ePT-A70225FED-ePT-A6

 

0225FED-ePT-F30225FED-ePT-F40225FED-ePT-T4

Overall costs were primarily driven by specific VISNs within each eligibility type (Appendix 8; Figure 5). VISN 19, VISN 22, and VISN 15 accounted for the highest referral costs for distance; VISN 22, VISN 8, and VISN 19 accounted for the secondhighest referral cost, timeliness of care; and VISN 4, VISN 8, and VISN 12 accounted for the third-highest referral cost, best medical interest (Figure 5). VISN 2, VISN 4, VISN 12, VISN 15, and VISN 22 had service unavailable as an eligibility type with 1 of the top 3 associated referral costs, which was higher in cost than timeliness of care for VISN 2, VISN 4, VISN 12, and VISN 15.

0225FED-ePT-A280225FED-ePT-F5

Discussion

This study examines the referral of rehabilitation PT services to CC, evaluates CC costs for PT services, and analyzes utilization and cost trends among veterans within the VHA. Utilization data demonstrated a decrease in referrals from FY 2019 to FY 2020 and increases in referrals from FY 2020 to FY 2022 for most variables of interest, with cost data exhibiting similar trends. Results highlight the need for further investigation to address variations in PT referrals and costs across VISNs and eligibility reasons for CC referral.

Results demonstrated a noteworthy increase in PT CC referrals over time. The largest increase occurred from FY 2020 to FY 2021, with a smaller increase from FY 2021 to FY 2022. During this period, total enrollee numbers decreased by 3.0% across the 7 VISNs included in this analysis and by 1.6% across all VISNs, a trend that illustrates an overall decrease in enrollees as CC use increased. Results align with the implementation of the MISSION Act of 2018, which further expanded veterans’ options to use CC.1,6,7 Results also align with the onset of the COVID-19 pandemic, which disrupted care access for many veterans, placed a larger emphasis on the use of telehealth, and increased opportunities to stay within the VA for care by rapidly shifting to telehealth and leveraging telerehabilitation investments and initiatives (such as TR-EWI).20,31

VISN 8, VISN 19, and VISN 22, accounted for more than half of PT referrals. These VISNs had higher enrollee counts compared to the other VISNs.32 VISN 8 consistently had high levels of referrals, whereas VISN 19 and VISN 22 saw dramatic increases in FY 2021 and FY 2022. In contrast, VISN 4 and VISN 12 gradually decreased referrals during the study. VISN 2 had the lowest referral numbers during the study period, and all stations with the lowest individual referral numbers were located within VISN 2. Of the VISNs included in this study, VISN 2 had the second lowest number of enrollees (324,042).32 Reasons for increases and decreases over time could not be determined based on data collected in this study.

There were more urban than rural PT CC referrals; however, both exhibited an increase in referrals over time. This is consistent with population trends showing that most VHA patients (62.6%) and veterans (75.9%) reside in urban areas, which could explain some of the trends in this study.33 Some VISNs have larger urban catchment areas (eg, VISN 8 and VISN 22), and some have larger rural catchment areas (eg, VISN 15 and VISN 19), which could partially explain the rural-urban differences by VISN.32 Rural-urban referral trends might also reflect existing health care delivery system deficits in rural areas and known challenges associated with accessing health care for veterans living in rural communities.8,9

This study found larger differences in rural and urban PT CC referrals for younger age groups, with more than twice as many urban referrals in veterans aged 20 to 29 years and aged 30 to 39 years, and roughly 1.8 times as many urban referrals in veterans aged 40 to 49 years. However, there were similar numbers of rural and urban referrals in those aged 70 to 79 years and aged 80 to 89 years. These trends are consistent with data showing veterans residing in rural communities are older than their urban counterparts.23,34 Data suggest that older veteran populations might seek PT at higher rates than younger veteran populations. Moreover, data suggest there could be differences in PT-seeking rates for younger veteran populations who reside in rural vs urban areas. Additional research is needed to understand these trends.

Distance and timeliness of care were the predominant reasons for referral among eligibility groups, which is consistent with the MISSION Act goals.1,6,7 The most common eligibility reason for rural referrals was distance; timeliness of care was most common for urban referrals. This finding is expected, as veterans living in rural communities are farther away from VHA facilities and have longer drive times, whereas veterans living in urban communities might live closer, yet experience longer wait times due to services and/or appointment availability. Best medical interest accounted for almost 20% of referrals, which does not provide detailed insights into why those veterans were referred to CC.

The top PT diagnoses referred to CC were related to bone, joint, or soft tissue disorders of the lower back, shoulder, and knee. This suggests that musculoskeletal-related issues are prevalent among veterans seeking PT care, which is consistent with research that found > 50% of veterans receiving VHA care have musculoskeletal disorders.35 The probability of experiencing musculoskeletal problems increases with age, as does the need for PT services. Amputations and fractures accounted for < 1% of CC referrals, which is consistent with the historic provision of VHA clinical specialized care to conditions prevalent among veterans. It may also represent VHA efforts to internally provide care for complex conditions requiring more extensive interdisciplinary coordination.

The total cost of referrals over time was about $221 million. VISN 8 accounted for the highest overall cost; VISN 2 had the lowest, mirroring referral utilization trends and aligning with VISN enrollee numbers. VISN 19 and VISN 22 reported large cost increases from FY 2020 to FY 2021. Total referral costs increased by $34.9 million from FY 2020 to FY 2021, which may be due to health care inflation (2.9% during FY 2019 to FY 2022), increased awareness of CC services, or increased VHA wait times.36 Additionally, there were limitations in care provided across health care systems during the COVID-19 pandemic, including the VA.5 The increase from FY 2020 to FY 2021 may reflect a rebound from restrictions in appointments across VA, CC, and the private sector.

While the increase in total referral cost may be partly attributed to inflation, the cost effectiveness and efficiency of referring veterans to CC vs keeping veterans within VHA care is an ongoing debate.5 Examining and addressing cost drivers within the top eligibility types and their respective VISNs is necessary to determine resource allocation and improve quality of care. This study found that best medical interest and unavailable services accounted for 33.4% of the total cost of CC referrals, highlighting the need for policies that strengthen in-house competencies and recruit personnel to provide PT services currently unavailable within the VA.

Future Directions

The VHA should explore opportunities for in-house care, especially for services appropriate for telehealth.18,20,37 Data indicated a smaller cost increase from FY 2021 to FY 2022 compared to the relatively large increase from FY 2020 to FY 2021. The increased telehealth usage across VHA by TR-EWI and non—TR-EWI sites within selected VISNs may have contributed to limiting the increase in CC costs. Future studies should investigate contextual factors of increased telehealth usage, which would offer guidance for implementation to optimize the integration of telehealth with PT rehabilitation provided in-house. Additionally, future studies can examine potential limitations experienced during PT telehealth visits, such as the inability to conduct hands-on assessments, challenges in viewing the quality of patient movement, ensuring patient safety in the remote environment, and the lack of PT equipment in homes for telehealth visits, and how these challenges are being addressed.38,39 Research is also needed to understand tradeoffs of CC vs VHA care and the potential and cost benefits of keeping veterans within VHA using programs like TR-EWI.5 Veterans living in rural communities may especially benefit from this as expanding telehealth options can provide access to PT care that may not be readily available, enabling them to stay connected and engaged in their care.18,40

Future studies could examine contributory factors to rising costs, such as demographic shifts, changes in PT service utilization, and policy. Researchers might also consider qualitative studies with clinicians and veterans within each VISN, which may provide insights into how local factors impact PT referral to the community.

Limitations

Due to its descriptive nature, this study can only speculate about factors influencing trends. Limitations include the inability to link the Palantir and CC Dashboard datasets for cost comparisons and potential data change over time on Palantir due to platform updates. The focus on VISNs with TREWI sites limited generalizability and this study did not compare CC PT vs VHA PT. Finally, there may have been cost drivers not identified in this study.

Conclusions

This descriptive study provides insights into the utilization and cost of PT CC referrals for selected VISNs. Cost trends underscore the financial commitment to providing PT services to veterans. Understanding what factors are driving this cost is necessary for VHA to optimally provide and manage the rehabilitation resources needed to serve veterans through traditional in-person care, telehealth, and CC options while ensuring timely, highquality care.

References
  1. Congressional Budget Office. The Veterans Community Care Program: Background and Early Effects. October 26, 2021. Accessed September 23, 2024. https://www.cbo.gov/publication/57257
  2. US Dept of Veterans Affairs. Providing Health Care for Veterans. Updated September 10, 2024. Accessed September 23, 2024. https://www.va.gov/health/
  3. Davila H, Rosen AK, Beilstein-Wedel E, Shwartz M, Chatelain LJ, Gurewich D. Rural veterans’ experiences with outpatient care in the Veterans Health Administration versus community care. Med Care. 2021;59(Suppl 3):S286-S291. doi:10.1097/MLR.0000000000001552
  4. Vanneman ME, Wagner TH, Shwartz M, et al. Veterans’ experiences with outpatient care: comparing the Veterans Affairs system with community-based care. Health Aff (Millwood). 2020;39(8):1368-1376. doi:10.1377/hlthaff.2019.01375
  5. Rasmussen P, Farmer CM. The promise and challenges of VA community care: veterans’ issues in focus. Rand Health Q. 2023;10(3):9.
  6. Feyman Y, Legler A, Griffith KN. Appointment wait time data for primary & specialty care in veterans health administration facilities vs. community medical centers. Data Brief. 2021;36:107134. doi:10.1016/j.dib.2021.107134
  7. Kelley AT, Greenstone CL, Kirsh SR. Defining access and the role of community care in the Veterans Health Administration. J Gen Intern Med. 2020;35(5):1584-1585. doi:10.1007/s11606-019-05358-z
  8. Garvin LA, Pugatch M, Gurewich D, Pendergast JN, Miller CJ. Interorganizational care coordination of rural veterans by Veterans Affairs and community care programs: a systematic review. Med Care. 2021;59(Suppl 3):S259-S269. doi:10.1097/MLR.0000000000001542
  9. US Dept of Veterans Affairs, Office of Rural Health. Rural Veterans: Rural Veteran Health Care Challenges. Updated May 14, 2024. Accessed September 23, 2024. https:// www.ruralhealth.va.gov/aboutus/ruralvets.asp
  10. Ohl ME, Carrell M, Thurman A, et al. “Availability of healthcare providers for rural veterans eligible for purchased care under the veterans choice act.” BMC Health Serv Res. 2018;18(1):315. doi:10.1186/s12913-018-3108-8
  11. Mattocks KM, Cunningham KJ, Greenstone C, Atkins D, Rosen AK, Upton M. Innovations in community care programs, policies, and research. Med Care. 2021;59(Suppl 3):S229-S231. doi:10.1097/MLR.0000000000001550
  12. Doyle JM, Streeter RA. Veterans’ location in health professional shortage areas: implications for access to care and workforce supply. Health Serv Res. 2017;52 Suppl 1(Suppl 1):459-480. doi:10.1111/1475-6773.12633
  13. Patzel M, Barnes C, Ramalingam N, et al. Jumping through hoops: community care clinician and staff experiences providing primary care to rural veterans. J Gen Intern Med. 2023;38(Suppl 3):821-828. doi:10.1007/s11606-023-08126-2
  14. Mattocks KM, Kroll-Desrosiers A, Kinney R, Elwy AR, Cunningham KJ, Mengeling MA. Understanding VA’s use of and relationships with community care providers under the MISSION Act. Med Care. 2021;59(Suppl 3):S252-S258. doi:10.1097/MLR.0000000000001545
  15. Olenick M, Flowers M, Diaz VJ. US veterans and their unique issues: enhancing health care professional awareness. Adv Med Educ Pract. 2015;6:635-639. doi:10.2147/AMEP.S89479
  16. Campbell P, Pope R, Simas V, Canetti E, Schram B, Orr R. The effects of early physiotherapy treatment on musculoskeletal injury outcomes in military personnel: a narrative review. Int J Environ Res Public Health. 2022;19(20):13416. doi:10.3390/ijerph192013416
  17. Gurewich D, Shwartz M, Beilstein-Wedel E, Davila H, Rosen AK. Did access to care improve since passage of the veterans choice act? Differences between rural and urban veterans. Med Care. 2021;59(Suppl 3):S270-S278. doi:10.1097/MLR.0000000000001490
  18. Myers US, Birks A, Grubaugh AL, Axon RN. Flattening the curve by getting ahead of it: how the VA healthcare system is leveraging telehealth to provide continued access to care for rural veterans. J Rural Health. 2021;37(1):194-196. doi:10.1111/jrh.12449
  19. Hale-Gallardo JL, Kreider CM, Jia H, et al. Telerehabilitation for rural veterans: a qualitative assessment of barriers and facilitators to implementation. J Multidiscip Healthc. 2020;13:559-570. doi:10.2147/JMDH.S247267
  20. Kreider CM, Hale-Gallardo J, Kramer JC, et al. Providers’ shift to telerehabilitation at the U.S. Veterans Health Administration during COVID-19: practical applications. Front Public Health. 2022;10:831762. doi:10.3389/fpubh.2022.831762
  21. Cowper-Ripley DC, Jia H, Wang X, et al. Trends in VA telerehabilitation patients and encounters over time and by rurality. Fed Pract. 2019;36(3):122-128.
  22. US Dept of Veterans Affairs, Office of Rural Health. VHA Office of Rural Health. Updated August 30, 2024. Accessed September 23, 2024. https://www.ruralhealth.va.gov/index.asp
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  24. U.S. Department of Veterans Affairs, Office of Research & Development. Program Guide: 1200.21, VHA Operations Activities That May Constitute Research. January 9, 2019. https://www.research.va.gov/resources/policies/ProgramGuide-1200-21-VHA-Operations-Activities.pdf
  25. Ogrinc G, Davies L, Goodman D, Batalden P, Davidoff F, Stevens D. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process. J Nurs Care Qual. 2016;31(1):1-8. doi:10.1097/NCQ.0000000000000153
  26. US Dept of Veterans Affairs. Veterans Health Administration: Veterans Integrated Service Networks (VISNs). Updated January 29, 2024. Accessed September 23, 2024. https://www.va.gov/HEALTH/visns.asp
  27. Stomberg C, Frost A, Becker C, Stang H, Windschitl M, Carrier E. Community Care referral dashboard [Data dashboard]. https://app.powerbigov.us/groups/me/reports/090d22a7-0e1f-4cc5-bea8-0a1b87aa0bd9/ReportSectionacfd03cdebd76ffca9ec [Source not verified]
  28. US Dept of Veterans Affairs. Eligibility for community care outside VA. Updated May 30, 2024. Accessed September 23, 2024. https://www.va.gov/COMMUNITYCARE/programs/veterans/General_Care.asp
  29. US Department of Veterans Affairs, Office of Rural Health. How to define rurality fact sheet. Updated December 2023. Accessed January 28, 2025. https://www.ruralhealth.va.gov/docs/ORH_RuralityFactSheet_508.pdf
  30. Rural-Urban Commuting Area Codes. Economic Research Service, US Dept of Agriculture. Updated September 25, 2023. Accessed September 23, 2024. https://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes.aspx
  31. Gurewich D, Beilstein-Wedel E, Shwartz M, Davila H, Rosen AK. Disparities in wait times for care among US veterans by race and ethnici t y. JAMA Netw Open. 2023;6(1):e2252061. doi:10.1001/jamanetworkopen.2022.52061
  32. U.S. Department of Veterans Affairs, VA Office of Rural Health, Veterans Rural Health Resource Center-Gainesville, GeoSpatial Outcomes Division. VA and Community Healthcare, and VHA Rurality web map application. Published 2023. https://portal.vhagis.inv.vaec.va.gov/arcgis/apps/webappbuilder/index.html [source not verified]
  33. Chartbook on Healthcare for Veterans: National Healthcare Quality and Disparities Report. Agency for Healthcare Research and Quality; November 2020. Accessed September 23, 2024. https://www.ahrq.gov/research/findings/nhqrdr/chartbooks/veterans/index.html
  34. Lum HD, Nearing K, Pimentel CB, Levy CR, Hung WW. Anywhere to anywhere: use of telehealth to increase health care access for older, rural veterans. Public Policy Aging Rep. 2020;30(1):12-18. doi:10.1093/ppar/prz030
  35. Goulet JL, Kerns RD, Bair M, et al. The musculoskeletal diagnosis cohort: examining pain and pain care among veterans. Pain. 2016;157(8):1696-1703. doi:10.1097/j.pain.0000000000000567
  36. US Inflation Calculator. Health Care Inflation in the United States (1948-2024). Accessed September 23, 2024. https://www.usinflationcalculator.com/inflation/health-care-inflation-in-the-united-states/
  37. Cottrell MA, Galea OA, O’Leary SP, Hill AJ, Russell TG. Real-time telerehabilitation for the treatment of musculoskeletal conditions is effective and comparable to standard practice: a systematic review and meta-analysis. Clin Rehabil. 2017;31(5):625-638. doi:10.1177/0269215516645148
  38. Elor A, Conde S, Powel l M, Robbins A, Chen NN, Kurniawan S. Physical therapist impressions of telehealth and virtual reality needs amidst a pandemic. Front Virtual Real. 2022;3. doi:10.3389/frvir.2022.915332
  39. Lee AC, Harada N. Telehealth as a means of health care delivery for physical therapist practice. Phys Ther. 2012;92(3):463-468. doi:10.2522/ptj.20110100
  40. Hynes DM, Edwards S, Hickok A, et al. Veterans’ use of Veterans Health Administration primary care in an era of expanding choice. Med Care. 2021;59(Suppl 3):S292- S300. doi:10.1097/MLR.0000000000001554
References
  1. Congressional Budget Office. The Veterans Community Care Program: Background and Early Effects. October 26, 2021. Accessed September 23, 2024. https://www.cbo.gov/publication/57257
  2. US Dept of Veterans Affairs. Providing Health Care for Veterans. Updated September 10, 2024. Accessed September 23, 2024. https://www.va.gov/health/
  3. Davila H, Rosen AK, Beilstein-Wedel E, Shwartz M, Chatelain LJ, Gurewich D. Rural veterans’ experiences with outpatient care in the Veterans Health Administration versus community care. Med Care. 2021;59(Suppl 3):S286-S291. doi:10.1097/MLR.0000000000001552
  4. Vanneman ME, Wagner TH, Shwartz M, et al. Veterans’ experiences with outpatient care: comparing the Veterans Affairs system with community-based care. Health Aff (Millwood). 2020;39(8):1368-1376. doi:10.1377/hlthaff.2019.01375
  5. Rasmussen P, Farmer CM. The promise and challenges of VA community care: veterans’ issues in focus. Rand Health Q. 2023;10(3):9.
  6. Feyman Y, Legler A, Griffith KN. Appointment wait time data for primary & specialty care in veterans health administration facilities vs. community medical centers. Data Brief. 2021;36:107134. doi:10.1016/j.dib.2021.107134
  7. Kelley AT, Greenstone CL, Kirsh SR. Defining access and the role of community care in the Veterans Health Administration. J Gen Intern Med. 2020;35(5):1584-1585. doi:10.1007/s11606-019-05358-z
  8. Garvin LA, Pugatch M, Gurewich D, Pendergast JN, Miller CJ. Interorganizational care coordination of rural veterans by Veterans Affairs and community care programs: a systematic review. Med Care. 2021;59(Suppl 3):S259-S269. doi:10.1097/MLR.0000000000001542
  9. US Dept of Veterans Affairs, Office of Rural Health. Rural Veterans: Rural Veteran Health Care Challenges. Updated May 14, 2024. Accessed September 23, 2024. https:// www.ruralhealth.va.gov/aboutus/ruralvets.asp
  10. Ohl ME, Carrell M, Thurman A, et al. “Availability of healthcare providers for rural veterans eligible for purchased care under the veterans choice act.” BMC Health Serv Res. 2018;18(1):315. doi:10.1186/s12913-018-3108-8
  11. Mattocks KM, Cunningham KJ, Greenstone C, Atkins D, Rosen AK, Upton M. Innovations in community care programs, policies, and research. Med Care. 2021;59(Suppl 3):S229-S231. doi:10.1097/MLR.0000000000001550
  12. Doyle JM, Streeter RA. Veterans’ location in health professional shortage areas: implications for access to care and workforce supply. Health Serv Res. 2017;52 Suppl 1(Suppl 1):459-480. doi:10.1111/1475-6773.12633
  13. Patzel M, Barnes C, Ramalingam N, et al. Jumping through hoops: community care clinician and staff experiences providing primary care to rural veterans. J Gen Intern Med. 2023;38(Suppl 3):821-828. doi:10.1007/s11606-023-08126-2
  14. Mattocks KM, Kroll-Desrosiers A, Kinney R, Elwy AR, Cunningham KJ, Mengeling MA. Understanding VA’s use of and relationships with community care providers under the MISSION Act. Med Care. 2021;59(Suppl 3):S252-S258. doi:10.1097/MLR.0000000000001545
  15. Olenick M, Flowers M, Diaz VJ. US veterans and their unique issues: enhancing health care professional awareness. Adv Med Educ Pract. 2015;6:635-639. doi:10.2147/AMEP.S89479
  16. Campbell P, Pope R, Simas V, Canetti E, Schram B, Orr R. The effects of early physiotherapy treatment on musculoskeletal injury outcomes in military personnel: a narrative review. Int J Environ Res Public Health. 2022;19(20):13416. doi:10.3390/ijerph192013416
  17. Gurewich D, Shwartz M, Beilstein-Wedel E, Davila H, Rosen AK. Did access to care improve since passage of the veterans choice act? Differences between rural and urban veterans. Med Care. 2021;59(Suppl 3):S270-S278. doi:10.1097/MLR.0000000000001490
  18. Myers US, Birks A, Grubaugh AL, Axon RN. Flattening the curve by getting ahead of it: how the VA healthcare system is leveraging telehealth to provide continued access to care for rural veterans. J Rural Health. 2021;37(1):194-196. doi:10.1111/jrh.12449
  19. Hale-Gallardo JL, Kreider CM, Jia H, et al. Telerehabilitation for rural veterans: a qualitative assessment of barriers and facilitators to implementation. J Multidiscip Healthc. 2020;13:559-570. doi:10.2147/JMDH.S247267
  20. Kreider CM, Hale-Gallardo J, Kramer JC, et al. Providers’ shift to telerehabilitation at the U.S. Veterans Health Administration during COVID-19: practical applications. Front Public Health. 2022;10:831762. doi:10.3389/fpubh.2022.831762
  21. Cowper-Ripley DC, Jia H, Wang X, et al. Trends in VA telerehabilitation patients and encounters over time and by rurality. Fed Pract. 2019;36(3):122-128.
  22. US Dept of Veterans Affairs, Office of Rural Health. VHA Office of Rural Health. Updated August 30, 2024. Accessed September 23, 2024. https://www.ruralhealth.va.gov/index.asp
  23. National Center for Veterans Analysis and Statistics. Rural Veterans: 2021-2023. April 2023. Accessed September 23, 2024. https://www.datahub.va.gov/stories/s/Rural-Veterans-FY2021-2023/kkh2-eymp/
  24. U.S. Department of Veterans Affairs, Office of Research & Development. Program Guide: 1200.21, VHA Operations Activities That May Constitute Research. January 9, 2019. https://www.research.va.gov/resources/policies/ProgramGuide-1200-21-VHA-Operations-Activities.pdf
  25. Ogrinc G, Davies L, Goodman D, Batalden P, Davidoff F, Stevens D. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process. J Nurs Care Qual. 2016;31(1):1-8. doi:10.1097/NCQ.0000000000000153
  26. US Dept of Veterans Affairs. Veterans Health Administration: Veterans Integrated Service Networks (VISNs). Updated January 29, 2024. Accessed September 23, 2024. https://www.va.gov/HEALTH/visns.asp
  27. Stomberg C, Frost A, Becker C, Stang H, Windschitl M, Carrier E. Community Care referral dashboard [Data dashboard]. https://app.powerbigov.us/groups/me/reports/090d22a7-0e1f-4cc5-bea8-0a1b87aa0bd9/ReportSectionacfd03cdebd76ffca9ec [Source not verified]
  28. US Dept of Veterans Affairs. Eligibility for community care outside VA. Updated May 30, 2024. Accessed September 23, 2024. https://www.va.gov/COMMUNITYCARE/programs/veterans/General_Care.asp
  29. US Department of Veterans Affairs, Office of Rural Health. How to define rurality fact sheet. Updated December 2023. Accessed January 28, 2025. https://www.ruralhealth.va.gov/docs/ORH_RuralityFactSheet_508.pdf
  30. Rural-Urban Commuting Area Codes. Economic Research Service, US Dept of Agriculture. Updated September 25, 2023. Accessed September 23, 2024. https://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes.aspx
  31. Gurewich D, Beilstein-Wedel E, Shwartz M, Davila H, Rosen AK. Disparities in wait times for care among US veterans by race and ethnici t y. JAMA Netw Open. 2023;6(1):e2252061. doi:10.1001/jamanetworkopen.2022.52061
  32. U.S. Department of Veterans Affairs, VA Office of Rural Health, Veterans Rural Health Resource Center-Gainesville, GeoSpatial Outcomes Division. VA and Community Healthcare, and VHA Rurality web map application. Published 2023. https://portal.vhagis.inv.vaec.va.gov/arcgis/apps/webappbuilder/index.html [source not verified]
  33. Chartbook on Healthcare for Veterans: National Healthcare Quality and Disparities Report. Agency for Healthcare Research and Quality; November 2020. Accessed September 23, 2024. https://www.ahrq.gov/research/findings/nhqrdr/chartbooks/veterans/index.html
  34. Lum HD, Nearing K, Pimentel CB, Levy CR, Hung WW. Anywhere to anywhere: use of telehealth to increase health care access for older, rural veterans. Public Policy Aging Rep. 2020;30(1):12-18. doi:10.1093/ppar/prz030
  35. Goulet JL, Kerns RD, Bair M, et al. The musculoskeletal diagnosis cohort: examining pain and pain care among veterans. Pain. 2016;157(8):1696-1703. doi:10.1097/j.pain.0000000000000567
  36. US Inflation Calculator. Health Care Inflation in the United States (1948-2024). Accessed September 23, 2024. https://www.usinflationcalculator.com/inflation/health-care-inflation-in-the-united-states/
  37. Cottrell MA, Galea OA, O’Leary SP, Hill AJ, Russell TG. Real-time telerehabilitation for the treatment of musculoskeletal conditions is effective and comparable to standard practice: a systematic review and meta-analysis. Clin Rehabil. 2017;31(5):625-638. doi:10.1177/0269215516645148
  38. Elor A, Conde S, Powel l M, Robbins A, Chen NN, Kurniawan S. Physical therapist impressions of telehealth and virtual reality needs amidst a pandemic. Front Virtual Real. 2022;3. doi:10.3389/frvir.2022.915332
  39. Lee AC, Harada N. Telehealth as a means of health care delivery for physical therapist practice. Phys Ther. 2012;92(3):463-468. doi:10.2522/ptj.20110100
  40. Hynes DM, Edwards S, Hickok A, et al. Veterans’ use of Veterans Health Administration primary care in an era of expanding choice. Med Care. 2021;59(Suppl 3):S292- S300. doi:10.1097/MLR.0000000000001554
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Bilateral Brownish-Red Indurated Facial Plaques in an Adult Man

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Bilateral Brownish-Red Indurated Facial Plaques in an Adult Man

THE DIAGNOSIS: Granuloma Faciale

Histology revealed a dense mixed inflammatory cell infiltrate with conspicuous neutrophils and eosinophils in the upper to mid dermis with a narrow uninvolved grenz zone beneath the epidermis (Figures 1 and 2). These findings along with the clinical presentation (Figure 3) were consistent with a diagnosis of granuloma faciale (GF). Most often seen in middle-aged White men, GF is an uncommon localized inflammatory skin condition that often manifests as a single, well-defined, red-to-brown papule, nodule, or plaque on the face or other sun-exposed areas of the skin. Since numerous other skin diseases manifest similarly to GF, biopsy is necessary for definitive diagnosis.1 Histopathology of GF classically shows a mixed inflammatory infiltrate with a narrow band of uninvolved dermis separating it from the epidermis (grenz zone). Dilated follicular plugs and vascular changes frequently are appreciated. Despite its name, GF does not include granulomas and is thought to be similar to leukocytoclastic vasculitis.1 Reports of GF in the literature have shown immunohistochemical staining with the presence of CD4+ lymphocytes that secrete IL-5, a chemotactic agent responsible for attracting eosinophils that contributes to the eosinophilic infiltrate on histology.2

CT115002014_e-Fig1_AB
FIGURE 1. A and B, Dense mixed inflammatory cell infiltrate in the upper to mid dermis with a narrow uninvolved grenz zone beneath the epidermis (H&E, original magnifications ×4 and ×10).
Shi-2
FIGURE 2. Higher-powered magnification revealed conspicuous neutrophils and eosinophils in the upper to mid dermis demonstrating perivascular accentuation (H&E, original magnification ×40).
Shi-3
FIGURE 3. Granuloma faciale plaque on right cheek.

Topical corticosteroids and topical tacrolimus are the first-line treatments for GF. Intralesional corticosteroids also are a treatment option and can be used in combination with cryotherapy.1,3 Additionally, both topical and oral dapsone have been shown to be effective for GF.1 Oral dapsone is given at a dose of 50 mg to 150 mg once daily.1 Clofazimine, typically used as an antileprosy treatment, also has been efficacious in treating GF. Clofazimine has anti-inflammatory and antiproliferative effects on lymphocytes that may attenuate the inflammation underlying GF. It is prescribed at a dose of 300 mg once daily for 3 to 5 months.1

The differential diagnosis for GF is broad and includes tumid lupus erythematosus, Jessner lymphocytic infiltrate (JLI), cutaneous sarcoidosis, and mycosis fungoides. Tumid lupus erythematosus is a subtype of cutaneous lupus erythematosus that rarely is associated with systemic lupus manifestations. Tumid lupus erythematosus manifests as annular, indurated, erythematous plaques, whereas JLI manifests with erythematous papular to nodular lesions without scale on the upper back or face.4 Jessner lymphocytic infiltrate and tumid lupus erythematosus are histopathologically identical, with abundant dermal mucin deposition and a superficial and deep perivascular and periadnexal lymphocytic infiltrate. It is debatable whether JLI is a separate entity or a variant of tumid lupus erythematosus. Sarcoidosis is a granulomatous disease that manifests with a myriad of clinical features. The skin is the second most commonly involved organ.5 The most common morphology is numerous small, firm, nonscaly papules, typically on the face. Histology in cutaneous sarcoidosis will show lymphocyte-poor, noncaseating epithelioid cell granulomas with positive reticulin staining, which were not seen in our patient.6 Lastly, mycosis fungoides is the most common type of cutaneous T-cell lymphoma. It can manifest as patches, plaques, or tumors. The plaque stage may mimic GF as lesions are infiltrative, annular, and raised, with well-defined margins. Histopathology will show intraepidermal lymphocytes out of proportion with spongiosis.7

References
  1. Al Dhafiri M, Kaliyadan F. Granuloma faciale. StatPearls Publishing. Updated July 4, 2023. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK539832/
  2. Chen A, Harview CL, Rand SE, et al. Refractory granuloma faciale successfully treated with adjunct topical JAK inhibitor. JAAD Case Rep. 2023;33:91-94. doi:10.1016/j.jdcr.2023.01.016
  3. Dowlati B, Firooz A, Dowlati Y. Granuloma faciale: successful treatment of nine cases with a combination of cryotherapy and intralesional corticosteroid injection. Int J Dermatol. 1997;36:548-551. doi:10.1046 /j.1365-4362.1997.00161.x
  4. Koritala T, Grubbs H, Crane J. Tumid lupus erythematosus. StatPearls Publishing. Updated June 28, 2023. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK482515/
  5. Caplan A, Rosenbach M, Imadojemu S. Cutaneous sarcoidosis. Semin Respir Crit Care Med. 2020;41:689-699. doi:10.1055/s-0040-1713130
  6. Singh P, Jain E, Dhingra H, et al. Clinico-pathological spectrum of cutaneous sarcoidosis: an experience from a government institute in North India. Med Pharm Rep. 2020;93:241-245. doi:10.15386 /mpr-1384
  7. Vaidya T, Badri T. Mycosis fungoides. StatPearls Publishing. Updated July 31, 2023. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK519572/
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From the Department of Dermatology, University of Missouri-Kansas City School of Medicine.

The authors have no relevant financial disclosures to report.

Correspondence: Victoria J. Shi, 2411 Holmes St, Kansas City, MO 64108 ([email protected]).

Cutis. 2025 February;115(2):E14-E16. doi:10.12788/cutis.1180

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The authors have no relevant financial disclosures to report.

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THE DIAGNOSIS: Granuloma Faciale

Histology revealed a dense mixed inflammatory cell infiltrate with conspicuous neutrophils and eosinophils in the upper to mid dermis with a narrow uninvolved grenz zone beneath the epidermis (Figures 1 and 2). These findings along with the clinical presentation (Figure 3) were consistent with a diagnosis of granuloma faciale (GF). Most often seen in middle-aged White men, GF is an uncommon localized inflammatory skin condition that often manifests as a single, well-defined, red-to-brown papule, nodule, or plaque on the face or other sun-exposed areas of the skin. Since numerous other skin diseases manifest similarly to GF, biopsy is necessary for definitive diagnosis.1 Histopathology of GF classically shows a mixed inflammatory infiltrate with a narrow band of uninvolved dermis separating it from the epidermis (grenz zone). Dilated follicular plugs and vascular changes frequently are appreciated. Despite its name, GF does not include granulomas and is thought to be similar to leukocytoclastic vasculitis.1 Reports of GF in the literature have shown immunohistochemical staining with the presence of CD4+ lymphocytes that secrete IL-5, a chemotactic agent responsible for attracting eosinophils that contributes to the eosinophilic infiltrate on histology.2

CT115002014_e-Fig1_AB
FIGURE 1. A and B, Dense mixed inflammatory cell infiltrate in the upper to mid dermis with a narrow uninvolved grenz zone beneath the epidermis (H&E, original magnifications ×4 and ×10).
Shi-2
FIGURE 2. Higher-powered magnification revealed conspicuous neutrophils and eosinophils in the upper to mid dermis demonstrating perivascular accentuation (H&E, original magnification ×40).
Shi-3
FIGURE 3. Granuloma faciale plaque on right cheek.

Topical corticosteroids and topical tacrolimus are the first-line treatments for GF. Intralesional corticosteroids also are a treatment option and can be used in combination with cryotherapy.1,3 Additionally, both topical and oral dapsone have been shown to be effective for GF.1 Oral dapsone is given at a dose of 50 mg to 150 mg once daily.1 Clofazimine, typically used as an antileprosy treatment, also has been efficacious in treating GF. Clofazimine has anti-inflammatory and antiproliferative effects on lymphocytes that may attenuate the inflammation underlying GF. It is prescribed at a dose of 300 mg once daily for 3 to 5 months.1

The differential diagnosis for GF is broad and includes tumid lupus erythematosus, Jessner lymphocytic infiltrate (JLI), cutaneous sarcoidosis, and mycosis fungoides. Tumid lupus erythematosus is a subtype of cutaneous lupus erythematosus that rarely is associated with systemic lupus manifestations. Tumid lupus erythematosus manifests as annular, indurated, erythematous plaques, whereas JLI manifests with erythematous papular to nodular lesions without scale on the upper back or face.4 Jessner lymphocytic infiltrate and tumid lupus erythematosus are histopathologically identical, with abundant dermal mucin deposition and a superficial and deep perivascular and periadnexal lymphocytic infiltrate. It is debatable whether JLI is a separate entity or a variant of tumid lupus erythematosus. Sarcoidosis is a granulomatous disease that manifests with a myriad of clinical features. The skin is the second most commonly involved organ.5 The most common morphology is numerous small, firm, nonscaly papules, typically on the face. Histology in cutaneous sarcoidosis will show lymphocyte-poor, noncaseating epithelioid cell granulomas with positive reticulin staining, which were not seen in our patient.6 Lastly, mycosis fungoides is the most common type of cutaneous T-cell lymphoma. It can manifest as patches, plaques, or tumors. The plaque stage may mimic GF as lesions are infiltrative, annular, and raised, with well-defined margins. Histopathology will show intraepidermal lymphocytes out of proportion with spongiosis.7

THE DIAGNOSIS: Granuloma Faciale

Histology revealed a dense mixed inflammatory cell infiltrate with conspicuous neutrophils and eosinophils in the upper to mid dermis with a narrow uninvolved grenz zone beneath the epidermis (Figures 1 and 2). These findings along with the clinical presentation (Figure 3) were consistent with a diagnosis of granuloma faciale (GF). Most often seen in middle-aged White men, GF is an uncommon localized inflammatory skin condition that often manifests as a single, well-defined, red-to-brown papule, nodule, or plaque on the face or other sun-exposed areas of the skin. Since numerous other skin diseases manifest similarly to GF, biopsy is necessary for definitive diagnosis.1 Histopathology of GF classically shows a mixed inflammatory infiltrate with a narrow band of uninvolved dermis separating it from the epidermis (grenz zone). Dilated follicular plugs and vascular changes frequently are appreciated. Despite its name, GF does not include granulomas and is thought to be similar to leukocytoclastic vasculitis.1 Reports of GF in the literature have shown immunohistochemical staining with the presence of CD4+ lymphocytes that secrete IL-5, a chemotactic agent responsible for attracting eosinophils that contributes to the eosinophilic infiltrate on histology.2

CT115002014_e-Fig1_AB
FIGURE 1. A and B, Dense mixed inflammatory cell infiltrate in the upper to mid dermis with a narrow uninvolved grenz zone beneath the epidermis (H&E, original magnifications ×4 and ×10).
Shi-2
FIGURE 2. Higher-powered magnification revealed conspicuous neutrophils and eosinophils in the upper to mid dermis demonstrating perivascular accentuation (H&E, original magnification ×40).
Shi-3
FIGURE 3. Granuloma faciale plaque on right cheek.

Topical corticosteroids and topical tacrolimus are the first-line treatments for GF. Intralesional corticosteroids also are a treatment option and can be used in combination with cryotherapy.1,3 Additionally, both topical and oral dapsone have been shown to be effective for GF.1 Oral dapsone is given at a dose of 50 mg to 150 mg once daily.1 Clofazimine, typically used as an antileprosy treatment, also has been efficacious in treating GF. Clofazimine has anti-inflammatory and antiproliferative effects on lymphocytes that may attenuate the inflammation underlying GF. It is prescribed at a dose of 300 mg once daily for 3 to 5 months.1

The differential diagnosis for GF is broad and includes tumid lupus erythematosus, Jessner lymphocytic infiltrate (JLI), cutaneous sarcoidosis, and mycosis fungoides. Tumid lupus erythematosus is a subtype of cutaneous lupus erythematosus that rarely is associated with systemic lupus manifestations. Tumid lupus erythematosus manifests as annular, indurated, erythematous plaques, whereas JLI manifests with erythematous papular to nodular lesions without scale on the upper back or face.4 Jessner lymphocytic infiltrate and tumid lupus erythematosus are histopathologically identical, with abundant dermal mucin deposition and a superficial and deep perivascular and periadnexal lymphocytic infiltrate. It is debatable whether JLI is a separate entity or a variant of tumid lupus erythematosus. Sarcoidosis is a granulomatous disease that manifests with a myriad of clinical features. The skin is the second most commonly involved organ.5 The most common morphology is numerous small, firm, nonscaly papules, typically on the face. Histology in cutaneous sarcoidosis will show lymphocyte-poor, noncaseating epithelioid cell granulomas with positive reticulin staining, which were not seen in our patient.6 Lastly, mycosis fungoides is the most common type of cutaneous T-cell lymphoma. It can manifest as patches, plaques, or tumors. The plaque stage may mimic GF as lesions are infiltrative, annular, and raised, with well-defined margins. Histopathology will show intraepidermal lymphocytes out of proportion with spongiosis.7

References
  1. Al Dhafiri M, Kaliyadan F. Granuloma faciale. StatPearls Publishing. Updated July 4, 2023. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK539832/
  2. Chen A, Harview CL, Rand SE, et al. Refractory granuloma faciale successfully treated with adjunct topical JAK inhibitor. JAAD Case Rep. 2023;33:91-94. doi:10.1016/j.jdcr.2023.01.016
  3. Dowlati B, Firooz A, Dowlati Y. Granuloma faciale: successful treatment of nine cases with a combination of cryotherapy and intralesional corticosteroid injection. Int J Dermatol. 1997;36:548-551. doi:10.1046 /j.1365-4362.1997.00161.x
  4. Koritala T, Grubbs H, Crane J. Tumid lupus erythematosus. StatPearls Publishing. Updated June 28, 2023. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK482515/
  5. Caplan A, Rosenbach M, Imadojemu S. Cutaneous sarcoidosis. Semin Respir Crit Care Med. 2020;41:689-699. doi:10.1055/s-0040-1713130
  6. Singh P, Jain E, Dhingra H, et al. Clinico-pathological spectrum of cutaneous sarcoidosis: an experience from a government institute in North India. Med Pharm Rep. 2020;93:241-245. doi:10.15386 /mpr-1384
  7. Vaidya T, Badri T. Mycosis fungoides. StatPearls Publishing. Updated July 31, 2023. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK519572/
References
  1. Al Dhafiri M, Kaliyadan F. Granuloma faciale. StatPearls Publishing. Updated July 4, 2023. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK539832/
  2. Chen A, Harview CL, Rand SE, et al. Refractory granuloma faciale successfully treated with adjunct topical JAK inhibitor. JAAD Case Rep. 2023;33:91-94. doi:10.1016/j.jdcr.2023.01.016
  3. Dowlati B, Firooz A, Dowlati Y. Granuloma faciale: successful treatment of nine cases with a combination of cryotherapy and intralesional corticosteroid injection. Int J Dermatol. 1997;36:548-551. doi:10.1046 /j.1365-4362.1997.00161.x
  4. Koritala T, Grubbs H, Crane J. Tumid lupus erythematosus. StatPearls Publishing. Updated June 28, 2023. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK482515/
  5. Caplan A, Rosenbach M, Imadojemu S. Cutaneous sarcoidosis. Semin Respir Crit Care Med. 2020;41:689-699. doi:10.1055/s-0040-1713130
  6. Singh P, Jain E, Dhingra H, et al. Clinico-pathological spectrum of cutaneous sarcoidosis: an experience from a government institute in North India. Med Pharm Rep. 2020;93:241-245. doi:10.15386 /mpr-1384
  7. Vaidya T, Badri T. Mycosis fungoides. StatPearls Publishing. Updated July 31, 2023. Accessed February 18, 2025. https://www.ncbi.nlm.nih.gov/books/NBK519572/
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Bilateral Brownish-Red Indurated Facial Plaques in an Adult Man

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A 44-year-old man presented to the dermatology clinic with a facial rash of 2 years’ duration. The patient reported associated pruritus but no systemic symptoms. His medical history was relevant for childhood eczema. He had tried various over-the-counter treatments for the facial rash, including topical hydrocortisone, neomycin/bacitracin/polymyxin antibiotic ointment, moisturizers, and antihistamines, with no success. Physical examination demonstrated symmetric, well-circumscribed, circinate, brownish-red, indurated plaques without scaling on the cheeks. A 4-mm punch biopsy was obtained from a plaque on the left cheek.

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Fingernail Abnormalities in an Adolescent With a History of Toe Walking

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THE DIAGNOSIS: Nail-Patella Syndrome

Nail-patella syndrome (NPS) is an autosomaldominant disorder that is present in approximately 1 in 50,000 live births worldwide.1,2 It manifests with a spectrum of clinical findings affecting the nails, skeletal system, kidneys, and eyes.3 Most cases of NPS are caused by loss-of-function mutations in LMX1B,1 a gene encoding the LIM homeobox transcription factor.4 The LMX1B gene plays a critical role in the dorsoventral patterning of developing limbs.5 Mutations of this gene impair the development and function of podocytes and glomerular filtration slits6 and have been found to affect the development of the dopaminergic and mesencephalic serotoninergic neurons.2 Approximately 5% of patients with NPS have an unexplained genetic cause, suggesting an alternate mechanism for disease.1 Loss-of-function mutations also were observed in the Wnt inhibitory factor 1 gene (WIF1) in a family with an NPS-like presentation and could represent a novel cause of the condition.1 Regardless, NPS may be diagnosed clinically based on characteristic medical history, imaging, and physical examination findings.

Nail changes are the most consistent feature of NPS. The nails may be absent, hypoplastic, dystrophic, ridged (horizontally or vertically), or pitted or may demonstrate characteristic triangular lacunae. Nail findings often are congenital, bilateral, and symmetrical. The first digits typically are most severely affected, with progressive improvement appreciated toward the fifth fingers, as seen in our patient. The nail changes can be subtle, sometimes manifesting only as a single triangular lacuna on both thumbnails. Toenail involvement is less common and, when present, tends to be even more discreet. In contrast to the fingernails, the fifth toenails are most commonly affected.7

There are many skeletal manifestations of NPS. Patellae may be absent, hypoplastic, or irregularly shaped on physical examination or imaging, and changes may involve one or both knees. The Figure shows plain radiographs of the knees with bilateral patellar subluxation. Elbow dysplasia or radial head subluxation may result in physical limitations in extension, pronation, or supination of the joint.7 In approximately 70% of patients seen with the disorder, imaging may reveal symmetric posterior and lateral bony projections from the iliac crests, known as iliac horns; when present, these are considered pathognomonic.8

Hoffman-figure
FIGURE. Plain radiograph of knees showing bilateral patella subluxation.

Open-angle glaucoma is the most common ocular finding in NPS. Other less commonly associated eye abnormalities include hyperpigmentation of the pupillary margin (Lester iris).6 Renal involvement occurs in 30% to 50% of patients with NPS and is the main predictor of mortality, with percentages as high as 5% to 14%.7 Defects occur in the glomerular basement membrane and manifest clinically with hematuria and/or proteinuria. The course of proteinuria is unpredictable. Some cases remit spontaneously, while others remain asymptomatic, progress to nephrotic syndrome, or, although rare, advance to renal failure.7,9

Bowel symptoms, neurologic problems, vasomotor concerns, thin dental enamel, attention-deficit disorder or attention-deficit/hyperactivity disorder, and major depressive disorder all have been reported in association with NPS.2,7

Nail psoriasis typically exhibits nail pitting and onycholysis. Other manifestations include subungual hyperkeratosis, oil drop discoloration, and splinter hemorrhages. Topical and intralesional treatments are used to manage symptoms of the disease, as it can become debilitating if left untreated, unlike the nail disease seen in NPS.10 Onychomycosis can have a similar manifestation to psoriasis with sublingual hyperkeratosis of the nail, but it usually is caused by dermatophytes or yeasts such as Candida albicans. Onycholysis and thickening of the subungual region also can be seen. Diagnosis relies on direct microscopy and fungal culture, and a thorough patient history will help distinguish fungal vs nonfungal etiology. New-generation antifungals are used to eradicate the infection.11 Leukonychia manifests with white-appearing nails due to nail-plate or nail-bed abnormalities. Leukonychia can have multisystem involvement, but nails demonstrate a white discoloration rather than the other abnormalities discussed here.12 Hypohidrotic ectodermal dysplasia is a rare hereditary congenital disease that affects ectodermal structures and manifests with a triad of symptoms: hypotrichosis, hypohidrosis, and hypodontia. The condition often manifests in childhood with characteristic features such as light-pigmented sparse and fine hair. Physical growth as well as psychomotor development are within normal limits. Neither bone nor renal involvement is typical for hypohidrotic ectodermal dysplasia.13

Our case highlights the typical manifestation of NPS with multisystem involvement, demonstrating the complexity of the disease. For cases in which a clinical diagnosis of NPS is uncertain, gene-targeted or comprehensive genomic testing is recommended, as well as genetic counseling. Given the broad spectrum of clinical manifestations, it is imperative that patients undergo screening for musculoskeletal, renal, and ophthalmologic involvement. Treatment is targeted at symptom management and prevention of long-term complications, reliant on clinical presentation, and specific to each patient.

References
  1. Jones MC, Topol SE, Rueda M, et al. Mutation of WIF1: a potential novel cause of a nail-patella–like disorder. Genet Med. 2017;19:1179-1183.
  2. López-Arvizu C, Sparrow EP, Strube MJ, et al. Increased symptoms of attention deficit hyperactivity disorder and major depressive disorder symptoms in Nail-patella syndrome: potential association with LMX1B loss-of-function. Am J Med Genet B Neuropsychiatr Genet. 2011;156B:59-66.
  3. Figueroa-Silva O, Vicente A, Agudo A, et al. Nail-patella syndrome: report of 11 pediatric cases. J Eur Acad Dermatol Venereol. 2016; 30:1614-1617.
  4. Vollrath D, Jaramillo-Babb VL, Clough MV, et al. Loss-of-function mutations in the LIM-homeodomain gene, LMX1B, in nail-patella syndrome. Hum Mol Genet. 1998;7:1091-1098. Published correction appears in Hum Mol Genet. 1998;7:1333.
  5. Chen H, Lun Y, Ovchinnikov D, et al. Limb and kidney defects in LMX1B mutant mice suggest an involvement of LMX1B in human nail patella syndrome. Nat Genet. 1998;19:51-55.
  6. Witzgall R. Nail-patella syndrome. Pflugers Arch. 2017;469:927-936.
  7. Sweeney E, Hoover-Fong JE, McIntosh I. Nail-patella syndrome. In: Adam MP, Ardinger HH, Pagon RA, et al, eds. GeneReviews. University of Washington; 2003.
  8. Tigchelaar S, Lenting A, Bongers EM, et al. Nail patella syndrome: knee symptoms and surgical outcomes. a questionnaire-based survey. Orthop Traumatol Surg Res. 2015;101:959-962.
  9. Harita Y, Urae S, Akashio R, et al. Clinical and genetic characterization of nephropathy in patients with nail-patella syndrome. Eur J Hum Genet. 2020;28:1414-1421.
  10. Tan ES, Chong WS, Tey HL. Nail psoriasis. Am J Clin Dermatol. 2012; 13:375-388.
  11. Elewski BE. Onychomycosis: pathogenesis, diagnosis, and management. Clin Microbiol Rev. 1998;11:415-429.
  12. Iorizzo M, Starace M, Pasch MC. Leukonychia: what can white nails tell us? Am J Clin Dermatol. 2022;23:177-193.
  13. Wright JT, Grange DK, Fete M. Hypohidrotic ectodermal dysplasia. In: Adam MP, Feldman J, Mirzaa GM, et al, eds. GeneReviews®. University of Washington, Seattle; 1993-2024.
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From the Department of Dermatology, Oregon Health & Science University, Portland. Dr. Funk also is from the Department of Pediatrics.

Alexandra Hoffman and Dr. Ophaug have no relevant financial disclosures to report. Dr. Funk has received research support and/or honoraria from AbbVie, Amgen, Arcutis Biotherapeutics, Incyte, LEO Pharma, Medimetriks, Palvella Therapeutics, Sanofi, and Regeneron.

Correspondence: Alexandra Hoffman, BS, 3181 SW Sam Jackson Park Rd, Portland, OR 97239 ([email protected]).

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From the Department of Dermatology, Oregon Health & Science University, Portland. Dr. Funk also is from the Department of Pediatrics.

Alexandra Hoffman and Dr. Ophaug have no relevant financial disclosures to report. Dr. Funk has received research support and/or honoraria from AbbVie, Amgen, Arcutis Biotherapeutics, Incyte, LEO Pharma, Medimetriks, Palvella Therapeutics, Sanofi, and Regeneron.

Correspondence: Alexandra Hoffman, BS, 3181 SW Sam Jackson Park Rd, Portland, OR 97239 ([email protected]).

Cutis. 2025 February;115(2):E11-E13. doi:10.12788/cutis.1177

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From the Department of Dermatology, Oregon Health & Science University, Portland. Dr. Funk also is from the Department of Pediatrics.

Alexandra Hoffman and Dr. Ophaug have no relevant financial disclosures to report. Dr. Funk has received research support and/or honoraria from AbbVie, Amgen, Arcutis Biotherapeutics, Incyte, LEO Pharma, Medimetriks, Palvella Therapeutics, Sanofi, and Regeneron.

Correspondence: Alexandra Hoffman, BS, 3181 SW Sam Jackson Park Rd, Portland, OR 97239 ([email protected]).

Cutis. 2025 February;115(2):E11-E13. doi:10.12788/cutis.1177

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THE DIAGNOSIS: Nail-Patella Syndrome

Nail-patella syndrome (NPS) is an autosomaldominant disorder that is present in approximately 1 in 50,000 live births worldwide.1,2 It manifests with a spectrum of clinical findings affecting the nails, skeletal system, kidneys, and eyes.3 Most cases of NPS are caused by loss-of-function mutations in LMX1B,1 a gene encoding the LIM homeobox transcription factor.4 The LMX1B gene plays a critical role in the dorsoventral patterning of developing limbs.5 Mutations of this gene impair the development and function of podocytes and glomerular filtration slits6 and have been found to affect the development of the dopaminergic and mesencephalic serotoninergic neurons.2 Approximately 5% of patients with NPS have an unexplained genetic cause, suggesting an alternate mechanism for disease.1 Loss-of-function mutations also were observed in the Wnt inhibitory factor 1 gene (WIF1) in a family with an NPS-like presentation and could represent a novel cause of the condition.1 Regardless, NPS may be diagnosed clinically based on characteristic medical history, imaging, and physical examination findings.

Nail changes are the most consistent feature of NPS. The nails may be absent, hypoplastic, dystrophic, ridged (horizontally or vertically), or pitted or may demonstrate characteristic triangular lacunae. Nail findings often are congenital, bilateral, and symmetrical. The first digits typically are most severely affected, with progressive improvement appreciated toward the fifth fingers, as seen in our patient. The nail changes can be subtle, sometimes manifesting only as a single triangular lacuna on both thumbnails. Toenail involvement is less common and, when present, tends to be even more discreet. In contrast to the fingernails, the fifth toenails are most commonly affected.7

There are many skeletal manifestations of NPS. Patellae may be absent, hypoplastic, or irregularly shaped on physical examination or imaging, and changes may involve one or both knees. The Figure shows plain radiographs of the knees with bilateral patellar subluxation. Elbow dysplasia or radial head subluxation may result in physical limitations in extension, pronation, or supination of the joint.7 In approximately 70% of patients seen with the disorder, imaging may reveal symmetric posterior and lateral bony projections from the iliac crests, known as iliac horns; when present, these are considered pathognomonic.8

Hoffman-figure
FIGURE. Plain radiograph of knees showing bilateral patella subluxation.

Open-angle glaucoma is the most common ocular finding in NPS. Other less commonly associated eye abnormalities include hyperpigmentation of the pupillary margin (Lester iris).6 Renal involvement occurs in 30% to 50% of patients with NPS and is the main predictor of mortality, with percentages as high as 5% to 14%.7 Defects occur in the glomerular basement membrane and manifest clinically with hematuria and/or proteinuria. The course of proteinuria is unpredictable. Some cases remit spontaneously, while others remain asymptomatic, progress to nephrotic syndrome, or, although rare, advance to renal failure.7,9

Bowel symptoms, neurologic problems, vasomotor concerns, thin dental enamel, attention-deficit disorder or attention-deficit/hyperactivity disorder, and major depressive disorder all have been reported in association with NPS.2,7

Nail psoriasis typically exhibits nail pitting and onycholysis. Other manifestations include subungual hyperkeratosis, oil drop discoloration, and splinter hemorrhages. Topical and intralesional treatments are used to manage symptoms of the disease, as it can become debilitating if left untreated, unlike the nail disease seen in NPS.10 Onychomycosis can have a similar manifestation to psoriasis with sublingual hyperkeratosis of the nail, but it usually is caused by dermatophytes or yeasts such as Candida albicans. Onycholysis and thickening of the subungual region also can be seen. Diagnosis relies on direct microscopy and fungal culture, and a thorough patient history will help distinguish fungal vs nonfungal etiology. New-generation antifungals are used to eradicate the infection.11 Leukonychia manifests with white-appearing nails due to nail-plate or nail-bed abnormalities. Leukonychia can have multisystem involvement, but nails demonstrate a white discoloration rather than the other abnormalities discussed here.12 Hypohidrotic ectodermal dysplasia is a rare hereditary congenital disease that affects ectodermal structures and manifests with a triad of symptoms: hypotrichosis, hypohidrosis, and hypodontia. The condition often manifests in childhood with characteristic features such as light-pigmented sparse and fine hair. Physical growth as well as psychomotor development are within normal limits. Neither bone nor renal involvement is typical for hypohidrotic ectodermal dysplasia.13

Our case highlights the typical manifestation of NPS with multisystem involvement, demonstrating the complexity of the disease. For cases in which a clinical diagnosis of NPS is uncertain, gene-targeted or comprehensive genomic testing is recommended, as well as genetic counseling. Given the broad spectrum of clinical manifestations, it is imperative that patients undergo screening for musculoskeletal, renal, and ophthalmologic involvement. Treatment is targeted at symptom management and prevention of long-term complications, reliant on clinical presentation, and specific to each patient.

THE DIAGNOSIS: Nail-Patella Syndrome

Nail-patella syndrome (NPS) is an autosomaldominant disorder that is present in approximately 1 in 50,000 live births worldwide.1,2 It manifests with a spectrum of clinical findings affecting the nails, skeletal system, kidneys, and eyes.3 Most cases of NPS are caused by loss-of-function mutations in LMX1B,1 a gene encoding the LIM homeobox transcription factor.4 The LMX1B gene plays a critical role in the dorsoventral patterning of developing limbs.5 Mutations of this gene impair the development and function of podocytes and glomerular filtration slits6 and have been found to affect the development of the dopaminergic and mesencephalic serotoninergic neurons.2 Approximately 5% of patients with NPS have an unexplained genetic cause, suggesting an alternate mechanism for disease.1 Loss-of-function mutations also were observed in the Wnt inhibitory factor 1 gene (WIF1) in a family with an NPS-like presentation and could represent a novel cause of the condition.1 Regardless, NPS may be diagnosed clinically based on characteristic medical history, imaging, and physical examination findings.

Nail changes are the most consistent feature of NPS. The nails may be absent, hypoplastic, dystrophic, ridged (horizontally or vertically), or pitted or may demonstrate characteristic triangular lacunae. Nail findings often are congenital, bilateral, and symmetrical. The first digits typically are most severely affected, with progressive improvement appreciated toward the fifth fingers, as seen in our patient. The nail changes can be subtle, sometimes manifesting only as a single triangular lacuna on both thumbnails. Toenail involvement is less common and, when present, tends to be even more discreet. In contrast to the fingernails, the fifth toenails are most commonly affected.7

There are many skeletal manifestations of NPS. Patellae may be absent, hypoplastic, or irregularly shaped on physical examination or imaging, and changes may involve one or both knees. The Figure shows plain radiographs of the knees with bilateral patellar subluxation. Elbow dysplasia or radial head subluxation may result in physical limitations in extension, pronation, or supination of the joint.7 In approximately 70% of patients seen with the disorder, imaging may reveal symmetric posterior and lateral bony projections from the iliac crests, known as iliac horns; when present, these are considered pathognomonic.8

Hoffman-figure
FIGURE. Plain radiograph of knees showing bilateral patella subluxation.

Open-angle glaucoma is the most common ocular finding in NPS. Other less commonly associated eye abnormalities include hyperpigmentation of the pupillary margin (Lester iris).6 Renal involvement occurs in 30% to 50% of patients with NPS and is the main predictor of mortality, with percentages as high as 5% to 14%.7 Defects occur in the glomerular basement membrane and manifest clinically with hematuria and/or proteinuria. The course of proteinuria is unpredictable. Some cases remit spontaneously, while others remain asymptomatic, progress to nephrotic syndrome, or, although rare, advance to renal failure.7,9

Bowel symptoms, neurologic problems, vasomotor concerns, thin dental enamel, attention-deficit disorder or attention-deficit/hyperactivity disorder, and major depressive disorder all have been reported in association with NPS.2,7

Nail psoriasis typically exhibits nail pitting and onycholysis. Other manifestations include subungual hyperkeratosis, oil drop discoloration, and splinter hemorrhages. Topical and intralesional treatments are used to manage symptoms of the disease, as it can become debilitating if left untreated, unlike the nail disease seen in NPS.10 Onychomycosis can have a similar manifestation to psoriasis with sublingual hyperkeratosis of the nail, but it usually is caused by dermatophytes or yeasts such as Candida albicans. Onycholysis and thickening of the subungual region also can be seen. Diagnosis relies on direct microscopy and fungal culture, and a thorough patient history will help distinguish fungal vs nonfungal etiology. New-generation antifungals are used to eradicate the infection.11 Leukonychia manifests with white-appearing nails due to nail-plate or nail-bed abnormalities. Leukonychia can have multisystem involvement, but nails demonstrate a white discoloration rather than the other abnormalities discussed here.12 Hypohidrotic ectodermal dysplasia is a rare hereditary congenital disease that affects ectodermal structures and manifests with a triad of symptoms: hypotrichosis, hypohidrosis, and hypodontia. The condition often manifests in childhood with characteristic features such as light-pigmented sparse and fine hair. Physical growth as well as psychomotor development are within normal limits. Neither bone nor renal involvement is typical for hypohidrotic ectodermal dysplasia.13

Our case highlights the typical manifestation of NPS with multisystem involvement, demonstrating the complexity of the disease. For cases in which a clinical diagnosis of NPS is uncertain, gene-targeted or comprehensive genomic testing is recommended, as well as genetic counseling. Given the broad spectrum of clinical manifestations, it is imperative that patients undergo screening for musculoskeletal, renal, and ophthalmologic involvement. Treatment is targeted at symptom management and prevention of long-term complications, reliant on clinical presentation, and specific to each patient.

References
  1. Jones MC, Topol SE, Rueda M, et al. Mutation of WIF1: a potential novel cause of a nail-patella–like disorder. Genet Med. 2017;19:1179-1183.
  2. López-Arvizu C, Sparrow EP, Strube MJ, et al. Increased symptoms of attention deficit hyperactivity disorder and major depressive disorder symptoms in Nail-patella syndrome: potential association with LMX1B loss-of-function. Am J Med Genet B Neuropsychiatr Genet. 2011;156B:59-66.
  3. Figueroa-Silva O, Vicente A, Agudo A, et al. Nail-patella syndrome: report of 11 pediatric cases. J Eur Acad Dermatol Venereol. 2016; 30:1614-1617.
  4. Vollrath D, Jaramillo-Babb VL, Clough MV, et al. Loss-of-function mutations in the LIM-homeodomain gene, LMX1B, in nail-patella syndrome. Hum Mol Genet. 1998;7:1091-1098. Published correction appears in Hum Mol Genet. 1998;7:1333.
  5. Chen H, Lun Y, Ovchinnikov D, et al. Limb and kidney defects in LMX1B mutant mice suggest an involvement of LMX1B in human nail patella syndrome. Nat Genet. 1998;19:51-55.
  6. Witzgall R. Nail-patella syndrome. Pflugers Arch. 2017;469:927-936.
  7. Sweeney E, Hoover-Fong JE, McIntosh I. Nail-patella syndrome. In: Adam MP, Ardinger HH, Pagon RA, et al, eds. GeneReviews. University of Washington; 2003.
  8. Tigchelaar S, Lenting A, Bongers EM, et al. Nail patella syndrome: knee symptoms and surgical outcomes. a questionnaire-based survey. Orthop Traumatol Surg Res. 2015;101:959-962.
  9. Harita Y, Urae S, Akashio R, et al. Clinical and genetic characterization of nephropathy in patients with nail-patella syndrome. Eur J Hum Genet. 2020;28:1414-1421.
  10. Tan ES, Chong WS, Tey HL. Nail psoriasis. Am J Clin Dermatol. 2012; 13:375-388.
  11. Elewski BE. Onychomycosis: pathogenesis, diagnosis, and management. Clin Microbiol Rev. 1998;11:415-429.
  12. Iorizzo M, Starace M, Pasch MC. Leukonychia: what can white nails tell us? Am J Clin Dermatol. 2022;23:177-193.
  13. Wright JT, Grange DK, Fete M. Hypohidrotic ectodermal dysplasia. In: Adam MP, Feldman J, Mirzaa GM, et al, eds. GeneReviews®. University of Washington, Seattle; 1993-2024.
References
  1. Jones MC, Topol SE, Rueda M, et al. Mutation of WIF1: a potential novel cause of a nail-patella–like disorder. Genet Med. 2017;19:1179-1183.
  2. López-Arvizu C, Sparrow EP, Strube MJ, et al. Increased symptoms of attention deficit hyperactivity disorder and major depressive disorder symptoms in Nail-patella syndrome: potential association with LMX1B loss-of-function. Am J Med Genet B Neuropsychiatr Genet. 2011;156B:59-66.
  3. Figueroa-Silva O, Vicente A, Agudo A, et al. Nail-patella syndrome: report of 11 pediatric cases. J Eur Acad Dermatol Venereol. 2016; 30:1614-1617.
  4. Vollrath D, Jaramillo-Babb VL, Clough MV, et al. Loss-of-function mutations in the LIM-homeodomain gene, LMX1B, in nail-patella syndrome. Hum Mol Genet. 1998;7:1091-1098. Published correction appears in Hum Mol Genet. 1998;7:1333.
  5. Chen H, Lun Y, Ovchinnikov D, et al. Limb and kidney defects in LMX1B mutant mice suggest an involvement of LMX1B in human nail patella syndrome. Nat Genet. 1998;19:51-55.
  6. Witzgall R. Nail-patella syndrome. Pflugers Arch. 2017;469:927-936.
  7. Sweeney E, Hoover-Fong JE, McIntosh I. Nail-patella syndrome. In: Adam MP, Ardinger HH, Pagon RA, et al, eds. GeneReviews. University of Washington; 2003.
  8. Tigchelaar S, Lenting A, Bongers EM, et al. Nail patella syndrome: knee symptoms and surgical outcomes. a questionnaire-based survey. Orthop Traumatol Surg Res. 2015;101:959-962.
  9. Harita Y, Urae S, Akashio R, et al. Clinical and genetic characterization of nephropathy in patients with nail-patella syndrome. Eur J Hum Genet. 2020;28:1414-1421.
  10. Tan ES, Chong WS, Tey HL. Nail psoriasis. Am J Clin Dermatol. 2012; 13:375-388.
  11. Elewski BE. Onychomycosis: pathogenesis, diagnosis, and management. Clin Microbiol Rev. 1998;11:415-429.
  12. Iorizzo M, Starace M, Pasch MC. Leukonychia: what can white nails tell us? Am J Clin Dermatol. 2022;23:177-193.
  13. Wright JT, Grange DK, Fete M. Hypohidrotic ectodermal dysplasia. In: Adam MP, Feldman J, Mirzaa GM, et al, eds. GeneReviews®. University of Washington, Seattle; 1993-2024.
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Fingernail Abnormalities in an Adolescent With a History of Toe Walking

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Fingernail Abnormalities in an Adolescent With a History of Toe Walking

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A 14-year-old boy with a history of toe walking, attention-deficit/hyperactivity disorder, and mixed receptive expressive language disorder presented to our pediatric dermatology clinic with fingernail abnormalities that had been present since birth. Physical examination revealed narrowing and longitudinal splitting of the nail plates with triangular lacunae and progressive improvement appreciated toward the fifth digits. The nail changes were most prominent on the first digits. A review of the patient’s medical record revealed incidental bilateral iliac horns of the pelvis on radiographs taken at age 18 months. The patient reported waxing and waning knee pain that worsened with prolonged activity and when climbing stairs. Urinalysis demonstrated mild hematuria without proteinuria. The patient was normotensive. There was no evidence of glaucoma, cataracts, or hyperpigmentation of the pupillary margin (Lester iris) on ophthalmologic examination. Genetic testing was performed.

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Posttraumatic stress disorder (PTSD) is the most likely diagnosis considering this patient’s symptoms of anxiety, hypervigilance, recurring nightmares, agitation, flashbacks, and violent outbursts. His experience of being robbed at gunpoint outside his gym seems to have been the triggering event for his PTSD, which may have also been influenced by his history of multiple concussions incurred in a fight setting in which he is forced to defend himself. His avoidance of continued training and appearing at scheduled fights further support this diagnosis. His CT scan, although not diagnostic for PTSD directly, does show evidence of minor brain injury, with the remaining hematomas.

Anxiety disorder may account for the patient’s severe anxiety, agitation, and headaches, but his symptoms are new and started after the robbery, which indicates PTSD and not a long-standing anxiety disorder.

Schizophrenia is an unlikely diagnosis for this patient. Although he is within the typical age range of symptom onset, has had violent outbursts, and is prone to vast changes in mood that come on quickly, he is not psychotic and does not experience any of the hallmark symptoms of schizophrenia: delusions, hallucinations, and disorganized speech/behavior, at least two of which would need to be present to support a diagnosis of schizophrenia.

Given this patient’s circumstances, post-traumatic epilepsy initially may be a potential diagnostic consideration. However, he is not experiencing seizures, but rather mood and behavioral disturbances, the onset of which occurred after a specific event. Additionally, posttraumatic epilepsy results from traumatic brain injury.

According to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision, an update to the 2017 clinical treatment guidelines published by the American Psychiatric Association (APA), the diagnostic criteria for PTSD in an individual older than 6 years are:

1.    Exposure to actual or threatened death, serious injury or sexual assault
2.    The traumatic event is persistently re-experienced via flashbacks, nightmares, and intrusive thoughts that cause strong emotional reactions and psychological distress
3.    Avoidance behaviors either in thoughts or conversations about the event or of people and places associated with the event
4.    At least two examples of negative alterations in cognition and mood
5.    At least two examples of hyperarousal
6.    Duration of symptoms > 1 month
7.    Significant distress or impairment in function because of these symptoms

Trauma-focused therapy is the gold standard of treatment for patients with PTSD. A recent review of current treatment strategies for PTSD found that cognitive processing therapy, cognitive-behavioral therapy, prolonged exposure therapy, and eye movement desensitization and reprocessing, all with a strong trauma focus, are the most effective treatments for PTSD.

The use of pharmacology to treat PTSD is controversial and varies by guideline. The APA and US Department of Veterans Affairs both recommend the use of antidepressants, particularly selective serotonin reuptake inhibitors, as a first-line treatment of PTSD. This is particularly important for patients who have psychiatric comorbid conditions, such as depression, who may not be able to effectively engage in cognitive- behavioral therapy. However, use of benzodiazepines or hypnotics should be strictly avoided in these patients because these drugs increase intrusive and avoidance symptoms over time. Medication should be continued for 6 to 12 months to help prevent relapse. 

 

Heidi Moawad, MD, Clinical Assistant Professor, Department of Medical Education, Case Western Reserve University School of Medicine, Cleveland, Ohio.

Heidi Moawad, MD, has disclosed no relevant financial relationships.
 

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Posttraumatic stress disorder (PTSD) is the most likely diagnosis considering this patient’s symptoms of anxiety, hypervigilance, recurring nightmares, agitation, flashbacks, and violent outbursts. His experience of being robbed at gunpoint outside his gym seems to have been the triggering event for his PTSD, which may have also been influenced by his history of multiple concussions incurred in a fight setting in which he is forced to defend himself. His avoidance of continued training and appearing at scheduled fights further support this diagnosis. His CT scan, although not diagnostic for PTSD directly, does show evidence of minor brain injury, with the remaining hematomas.

Anxiety disorder may account for the patient’s severe anxiety, agitation, and headaches, but his symptoms are new and started after the robbery, which indicates PTSD and not a long-standing anxiety disorder.

Schizophrenia is an unlikely diagnosis for this patient. Although he is within the typical age range of symptom onset, has had violent outbursts, and is prone to vast changes in mood that come on quickly, he is not psychotic and does not experience any of the hallmark symptoms of schizophrenia: delusions, hallucinations, and disorganized speech/behavior, at least two of which would need to be present to support a diagnosis of schizophrenia.

Given this patient’s circumstances, post-traumatic epilepsy initially may be a potential diagnostic consideration. However, he is not experiencing seizures, but rather mood and behavioral disturbances, the onset of which occurred after a specific event. Additionally, posttraumatic epilepsy results from traumatic brain injury.

According to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision, an update to the 2017 clinical treatment guidelines published by the American Psychiatric Association (APA), the diagnostic criteria for PTSD in an individual older than 6 years are:

1.    Exposure to actual or threatened death, serious injury or sexual assault
2.    The traumatic event is persistently re-experienced via flashbacks, nightmares, and intrusive thoughts that cause strong emotional reactions and psychological distress
3.    Avoidance behaviors either in thoughts or conversations about the event or of people and places associated with the event
4.    At least two examples of negative alterations in cognition and mood
5.    At least two examples of hyperarousal
6.    Duration of symptoms > 1 month
7.    Significant distress or impairment in function because of these symptoms

Trauma-focused therapy is the gold standard of treatment for patients with PTSD. A recent review of current treatment strategies for PTSD found that cognitive processing therapy, cognitive-behavioral therapy, prolonged exposure therapy, and eye movement desensitization and reprocessing, all with a strong trauma focus, are the most effective treatments for PTSD.

The use of pharmacology to treat PTSD is controversial and varies by guideline. The APA and US Department of Veterans Affairs both recommend the use of antidepressants, particularly selective serotonin reuptake inhibitors, as a first-line treatment of PTSD. This is particularly important for patients who have psychiatric comorbid conditions, such as depression, who may not be able to effectively engage in cognitive- behavioral therapy. However, use of benzodiazepines or hypnotics should be strictly avoided in these patients because these drugs increase intrusive and avoidance symptoms over time. Medication should be continued for 6 to 12 months to help prevent relapse. 

 

Heidi Moawad, MD, Clinical Assistant Professor, Department of Medical Education, Case Western Reserve University School of Medicine, Cleveland, Ohio.

Heidi Moawad, MD, has disclosed no relevant financial relationships.
 

Image Quizzes are fictional or fictionalized clinical scenarios intended to provide evidence-based educational takeaways.

Posttraumatic stress disorder (PTSD) is the most likely diagnosis considering this patient’s symptoms of anxiety, hypervigilance, recurring nightmares, agitation, flashbacks, and violent outbursts. His experience of being robbed at gunpoint outside his gym seems to have been the triggering event for his PTSD, which may have also been influenced by his history of multiple concussions incurred in a fight setting in which he is forced to defend himself. His avoidance of continued training and appearing at scheduled fights further support this diagnosis. His CT scan, although not diagnostic for PTSD directly, does show evidence of minor brain injury, with the remaining hematomas.

Anxiety disorder may account for the patient’s severe anxiety, agitation, and headaches, but his symptoms are new and started after the robbery, which indicates PTSD and not a long-standing anxiety disorder.

Schizophrenia is an unlikely diagnosis for this patient. Although he is within the typical age range of symptom onset, has had violent outbursts, and is prone to vast changes in mood that come on quickly, he is not psychotic and does not experience any of the hallmark symptoms of schizophrenia: delusions, hallucinations, and disorganized speech/behavior, at least two of which would need to be present to support a diagnosis of schizophrenia.

Given this patient’s circumstances, post-traumatic epilepsy initially may be a potential diagnostic consideration. However, he is not experiencing seizures, but rather mood and behavioral disturbances, the onset of which occurred after a specific event. Additionally, posttraumatic epilepsy results from traumatic brain injury.

According to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision, an update to the 2017 clinical treatment guidelines published by the American Psychiatric Association (APA), the diagnostic criteria for PTSD in an individual older than 6 years are:

1.    Exposure to actual or threatened death, serious injury or sexual assault
2.    The traumatic event is persistently re-experienced via flashbacks, nightmares, and intrusive thoughts that cause strong emotional reactions and psychological distress
3.    Avoidance behaviors either in thoughts or conversations about the event or of people and places associated with the event
4.    At least two examples of negative alterations in cognition and mood
5.    At least two examples of hyperarousal
6.    Duration of symptoms > 1 month
7.    Significant distress or impairment in function because of these symptoms

Trauma-focused therapy is the gold standard of treatment for patients with PTSD. A recent review of current treatment strategies for PTSD found that cognitive processing therapy, cognitive-behavioral therapy, prolonged exposure therapy, and eye movement desensitization and reprocessing, all with a strong trauma focus, are the most effective treatments for PTSD.

The use of pharmacology to treat PTSD is controversial and varies by guideline. The APA and US Department of Veterans Affairs both recommend the use of antidepressants, particularly selective serotonin reuptake inhibitors, as a first-line treatment of PTSD. This is particularly important for patients who have psychiatric comorbid conditions, such as depression, who may not be able to effectively engage in cognitive- behavioral therapy. However, use of benzodiazepines or hypnotics should be strictly avoided in these patients because these drugs increase intrusive and avoidance symptoms over time. Medication should be continued for 6 to 12 months to help prevent relapse. 

 

Heidi Moawad, MD, Clinical Assistant Professor, Department of Medical Education, Case Western Reserve University School of Medicine, Cleveland, Ohio.

Heidi Moawad, MD, has disclosed no relevant financial relationships.
 

Image Quizzes are fictional or fictionalized clinical scenarios intended to provide evidence-based educational takeaways.

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A 28-year-old professional boxer presents with severe anxiety, agitation, headaches, and insomnia with recurring nightmares and flashbacks. His symptoms began after he was robbed at gunpoint in the gym parking lot as he was getting into his car about 6 months ago. Since that time, he has had to postpone several fights because he is unable to maintain his training schedule and reports feeling depressed as a result. He is also at risk for suspension from his regular gym because he has gotten into several violent, unprovoked altercations with fellow boxers, and he has also had multiple violent outbursts outside of the gym. He has a history of concussion.

Physical exam reveals increased heart rate and hypervigilance. The patient is administered the Patient Health Questionnaire and has a score of 14 out of a possible 27. Zero to 4 indicates no depression, whereas 14 falls within the range of moderate depression. A brain CT scan (Figure) is ordered because of his history of concussion and his chronic symptoms. The scan reveals two subacute hematomas in the left hemisphere, one in the frontal lobe and the other in the temporal lobe. Additional tests are ordered: laboratory testing, to rule out organic or infectious causes of symptoms and electroencephalography, to assess for a possible seizure focus; both tests reveal nothing remarkable. The hematomas were noted at the time of a previous head injury 2 years ago. 

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Impact of 3 Months of Supervised Exercise on Function by Arthritis Status

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Impact of 3 Months of Supervised Exercise on Function by Arthritis Status

About half of US adults aged ≥ 65 years report arthritis, and of those, 44% have an arthritis-attributable activity limitation.1,2 Arthritis is a significant health issue for veterans, with veterans reporting higher rates of disability compared with the civilian population.3

Osteoarthritis (OA) is the most common type of arthritis.4 Among individuals aged ≥ 40 years, the incidence of OA is nearly twice as high among veterans compared with civilians and is a leading cause of separation from military service and disability.5,6 OA pain and disability have been shown to be associated with increases in health care and medication use, including opioids, nonsteroidal anti-inflammatory medications, and muscle relaxants.7,8 Because OA is chronic and has no cure, safe and effective management strategies—such as exercise— are critical to minimize pain and maintain physical function.9

Exercise can reduce pain and disability associated with OA and is a first-line recommendation in guidelines for the treatment of knee and hip OA.9 Given the limited exercise and high levels of physical inactivity among veterans with OA, there is a need to identify opportunities that support veterans with OA engaging in regular exercise.

Gerofit, an outpatient clinical exercise program available at 30 Veterans Health Administration (VHA) sites, may provide an opportunity for older veterans with arthritis to engage in exercise.10 Gerofit is specifically designed for veterans aged ≥ 65 years. It is not disease-specific and supports older veterans with multiple chronic conditions, including OA. Veterans aged ≥ 65 years with a referral from a VA clinician are eligible for Gerofit. Those who are unable to perform activities of daily living; unable to independently function without assistance; have a history of unstable angina, proliferative diabetic retinopathy, oxygen dependence, volatile behavioral issues, or are unable to work successfully in a group environment/setting; experience active substance abuse, homelessness, or uncontrolled incontinence; and have open wounds that cannot be appropriately dressed are excluded from Gerofit. Exercise sessions are held 3 times per week and last from 60 to 90 minutes. Sessions are supervised by Gerofit staff and include personalized exercise prescriptions based on functional assessments. Exercise prescriptions include aerobic, resistance, and balance/flexibility components and are modified by the Gerofit program staff as needed. Gerofit adopts a functional fitness approach and includes individual progression as appropriate according to evidence-based guidelines, using the Borg ratings of perceived exertion. 11 Assessments are performed at baseline, 3 months, 6 months, and annually thereafter. Clinical staff conduct all assessments, including physical function testing, and record them in a database. Assessments are reviewed with the veteran to chart progress and identify future goals or needs. Veterans perform personalized self-paced exercises in the Gerofit group setting. Exercise prescriptions are continuously modified to meet individualized needs and goals. Veterans may participate continuously with no end date.

Participation in supervised exercise is associated with improved physical function and individuals with arthritis can improve function even though their baseline functional status is lower than individuals without arthritis. 12 In this analysis, we examine the impact of exercise on the status and location of arthritis (upper body, lower body, or both). Lower body arthritis is more common than upper body arthritis and lower extremity function is associated with increased ability to perform activities of daily living, resulting in independence among older adults.13,14 We also include upper body strength measures to capture important functional movements such as reaching and pulling.15 Among those who participate in Gerofit, the greatest gains in physical function occur during the initial 3 months, which tend to be sustained over 12 months.16 For this reason, this study focused on the initial 3 months of the program.

Older adults with arthritis may have pain and functional limitations that exceed those of the general older adult population. Exercise programs for older adults that do not specifically target arthritis but are able to improve physical function among those with arthritis could potentially increase access to exercise for older adults living with arthritis. Therefore, the purpose of this study was to determine whether change in physical function with participation in Gerofit for 3 months varies by arthritis status, including no arthritis, any arthritis, lower body arthritis, or both upper and lower body arthritis compared with no arthritis.

Methods

This is a secondary analysis of previously collected data from 10 VHA Gerofit sites (Ann Arbor, Baltimore, Greater Los Angeles, Canandaigua, Cincinnati, Miami, Honolulu, Denver, Durham, and Pittsburgh) from 2002 to 2019. Implementation data regarding the consistency of the program delivery at Gerofit expansion sites have been previously published.16 Although the delivery of Gerofit transitioned to telehealth due to COVID-19, data for this analysis were collected from in-person exercise sessions prior to the pandemic.17 Data were collected for clinical purposes. This project was part of the Gerofit quality improvement initiative and was reviewed and approved by the Durham Institutional Review Board as quality improvement.

Participants in Gerofit who completed baseline and 3-month assessments were included to analyze the effects of exercise on physical function. At each of the time points, physical functional assessments included: (1) usual gait speed (> 10 meters [m/s], or 10- meter walk test [10MWT]); (2) lower body strength (chair stands [number completed in 30 seconds]); (3) upper body strength (number of arm curls [5-lb for females/8-lb for males] completed in 30 seconds); and (4) 6-minute walk distance [6MWD] in meters to measure aerobic endurance). These measures have been validated in older adults.18-21 Arm curls were added to the physical function assessments after the 10MWT, chair stands, and 6MWD; therefore, fewer participants had data for this measure. Participants self-reported at baseline on 45 common medical conditions, including arthritis or rheumatism (both upper body and lower body were offered as choices). Self-reporting has been shown to be an acceptable method of identifying arthritis in adults.22

Descriptive statistics at baseline were calculated for all participants. One-way analysis of variance and X2 tests were used to determine differences in baseline characteristics across arthritis status. The primary outcomes were changes in physical function measures from baseline to 3 months by arthritis status. Arthritis status was defined as: any arthritis, which includes individuals who reported upper body arthritis, lower body arthritis, or both; and arthritis status individuals reporting either upper body arthritis, lower body arthritis, or both. Categories of arthritis for arthritis status were mutually exclusive. Two separate linear models were constructed for each of the 4 physical function measures, with change from baseline to 3 months as the outcome (dependent variable) and arthritis status, age, and body mass index (BMI) as predictors (independent variables). The first model compared any arthritis with no arthritis and the second model compared arthritis status (both upper and lower body arthritis vs lower body arthritis) with no arthritis. These models were used to obtain mean changes and 95% CIs in physical function and to test for differences in the change in physical function measures by arthritis status. Statistical analyses were performed using R software, version 4.0.3.

Results

Baseline and 3-month data were available for 737 Gerofit participants and included in the analysis. The mean (SD) age was 73.5 (7.1) years. A total of 707 participants were male (95.9%) and 322 (43.6%) reported some arthritis, with arthritis in both the upper and lower body being reported by 168 participants (52.2%) (Table 1). There were no differences in age, sex, or race for those with any arthritis compared with those with no arthritis, but BMI was significantly higher in those reporting any arthritis compared with no arthritis. For the baseline functional measures, statistically significant differences were observed between those with no arthritis and those reporting any arthritis for the 10MWT (P = .001), chair stands (P = .046), and 6MWD (P = .001), but not for arm curls (P = .77), with those with no arthritis performing better.

FDP04202100_T1

All 4 arthritis status groups showed improvements in each of the physical function measures over 3 months. For the 10MWT the mean change (95% CI) in gait speed (m/s) was 0.06 (0.04-0.08) for patients with no arthritis, 0.07 (0.05- 0.08) for any arthritis, 0.07 (0.04-0.11) for lower body arthritis, and 0.07 (0.04- 0.09) for both lower and upper body arthritis. For the number of arm curls in 30 seconds the mean change (95% CI) was 2.3 (1.8-2.8) for patients with no arthritis, 2.1 (1.5-2.6) for any arthritis, 2.0 (1.1-3.0) for lower body arthritis, and 1.9 (1.1-2.7) for both lower and upper body arthritis. For the number of chair stands in 30 seconds the mean change (95% CI) was 2.1 (1.7-2.4) for patients with no arthritis, 2.2 (1.8-2.6) for any arthritis, 2.3 (1.6-2.9), for lower body arthritis, and 2.0 (1.5-2.5) for both lower and upper body arthritis. For the 6MWD distance in meters the mean change (95% CI) was 21.5 (15.5-27.4) for patients with no arthritis, 28.6 (21.9-35.3) for any arthritis, 30.4 (19.5-41.3) for lower body arthritis, and 28.6 (19.2-38.0) for both lower and upper body arthritis (Figure).

FDP04202100_F1

We used 2 models to measure the change from baseline to 3 months for each of the arthritis groups. Model 1 compared any arthritis vs no arthritis and model 2 compared lower body arthritis and both upper and lower body arthritis vs no arthritis for each physical function measure (Table 2). There were no statistically significant differences in 3-month change in physical function for any of the physical function measures between arthritis groups after adjusting for age and BMI.

FDP04202100_T2

Discussion

Participation in Gerofit was associated with functional gains among all participants over 3 months, regardless of arthritis status. Older veterans reporting any arthritis had significantly lower physical function scores upon enrollment into Gerofit compared with those veterans reporting no arthritis. However, compared with individuals who reported no arthritis, individuals who reported arthritis (any arthritis, lower body arthritis only, or both lower and upper body arthritis) experienced similar improvements (ie, no statistically significant differences in mean change from baseline to follow-up among those with and without arthritis). This study suggests that progressive, multicomponent exercise programs for older adults may be beneficial for those with arthritis.

Involvement of multiple sites of arthritis is associated with moderate to severe functional limitations as well as lower healthrelated quality of life.23 While it has been found that individuals with arthritis can improve function with supervised exercise, even though their baseline functional status is lower than individuals without arthritis, it was not clear whether individuals with multiple joint involvement also would benefit.12 The results of this study suggest that these individuals can improve across various domains of physical function despite variation in arthritis location and status. As incidence of arthritis increases with age, targeting older adults for exercise programs such as Gerofit may improve functional limitations and health-related quality of life associated with arthritis.2

We evaluated physical function using multiple measures to assess upper (arm curls) and lower (chair stands, 10MWT) extremity physical function and aerobic endurance (6MWD). Participants in this study reached clinically meaningful changes with 3 months of participation in Gerofit for most of the physical function measures. Gerofit participants had a mean gait speed improvement of 0.05 to 0.07 m/s compared with 0.10 to 0.30 m/s, which was reported previously. 24,25 In this study, nearly all groups achieved the clinically important improvements in the chair stand in 30 seconds (2.0 to 2.6) and the 6MWD (21.8 to 59.1 m) that have been reported in the literature.24-26

The Osteoarthritis Research Society International recommends the chair stand and 6MWD performance-based tests for individuals with hip and knee arthritis because they align with patient-reported outcomes and represent the types of activities relevant to this population.27 The findings of this study suggest that improvement in these physical function measures with participation in exercise align with data from arthritis-specific exercise programs designed for wide implementation. Hughes and colleagues reported improvements in the 6MWD after the 8-week Fit and Strong exercise intervention, which included walking and lower body resistance training.28 The Arthritis Foundation’s Walk With Ease program is a 6-week walking program that has shown improvements in chair stands and gait speed.29 Another Arthritis Foundation program, People with Arthritis Can Exercise, is an 8-week course consisting of a variety of resistance, aerobic, and balance activities. This program has been associated with increases in chair stands but not gait speed or 6MWD.30,31

This study found that participation in a VHA outpatient clinical supervised exercise program results in improvements in physical function that can be realized by older adults regardless of arthritis burden. Gerofit programs typically require 1.5 to 2.0 dedicated full-time equivalent employees to run the program effectively and additional administrative support, depending on size of the program.32 The cost savings generated by the program include reductions in hospitalization rates, emergency department visits, days in hospital, and medication use and provide a compelling argument for the program’s financial viability to health care systems through long-term savings and improved health outcomes for older adults.33-36

While evidenced-based arthritis programs exist, this study illustrates that an exercise program without a focus on arthritis also improves physical function, potentially reducing the risk of disability related to arthritis. The clinical implication for these findings is that arthritis-specific exercise programs may not be needed to achieve functional improvements in individuals with arthritis. This is critical for under-resourced or exercise- limited health care systems or communities. Therefore, if exercise programming is limited, or arthritis-specific programs and interventions are not available, nonspecific exercise programs will also be beneficial to individuals with arthritis. Thus, individuals with arthritis should be encouraged to participate in any available exercise programming to achieve improvements in physical function. In addition, many older adults have multiple comorbidities, most of which improve with participation in exercise. 37 Disease-specific exercise programs can offer tailored exercises and coaching related to common barriers in participation, such as joint pain for arthritis.31 It is unclear whether these additional programmatic components are associated with greater improvements in outcomes, such as physical function. More research is needed to explore the benefits of disease-specific tailored exercise programs compared with general exercise programs.

Strengths and Limitations

This study demonstrated the effect of participation in a clinical, supervised exercise program in a real-world setting. It suggests that even exercise programs not specifically targeted for arthritis populations can improve physical function among those with arthritis.

As a VHA clinical supervised exercise program, Gerofit may not be generalizable to all older adults or other exercise programs. In addition, this analysis only included a veteran population that was > 95% male and may not be generalizable to other populations. Arthritis status was defined by self-report and not verified in the health record. However, this approach has been shown to be acceptable in this setting and the most common type of arthritis in this population (OA) is a painful musculoskeletal condition associated with functional limitations.4,22,38,39 Self-reported arthritis or rheumatism is associated with functional limitations.1 Therefore, it is unlikely that the results would differ for physician-diagnosed or radiographically defined OA. Additionally, the study did not have data on the total number of joints with arthritis or arthritis severity but rather used upper body, lower body, and both upper and lower body arthritis as a proxy for arthritis status. While our models were adjusted for age and BMI, 2 known confounding factors for the association between arthritis and physical function, there are other potential confounding factors that were not included in the models. 40,41 Finally, this study only included individuals with completed baseline and 3-month follow-up assessments, and the individuals who participated for longer or shorter periods may have had different physical function outcomes than individuals included in this study.

Conclusions

Participation in 3 months VHA Gerofit outpatient supervised exercise programs can improve physical function for all older adults, regardless of arthritis status. These programs may increase access to exercise programming that is beneficial for common conditions affecting older adults, such as arthritis.

References
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  29. Callahan LF, Shreffler JH, Altpeter M, et al. Evaluation of group and self-directed formats of the Arthritis Foundation's Walk With Ease Program. Arthritis Care Res (Hoboken). 2011;63:1098-1107. doi:10.1002/acr.20490
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  34. Abbate L, Li J, Veazie P, et al. Does Gerofit exercise reduce veterans’ use of emergency department and inpatient care? Innov Aging. 2020;4(suppl 1):771. doi:10.1093/geroni/igaa057.2786
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Author affiliations
aVeterans Affairs Eastern Colorado Geriatric Research Education and Clinical Center, Aurora
bUniversity of Colorado, Aurora
cVeterans Affairs Durham Health Care System, North Carolina
dUniversity of North Carolina, Chapel Hill
eVeterans Affairs Eastern Colorado Health Care System, Aurora
fVeterans Affairs Greater Los Angeles Health Care System, California
gDavid Geffen School of Medicine at UCLA, Los Angeles, California
hVeterans Affairs Maryland Health Care System, Baltimore
iUniversity of Maryland School of Medicine, Baltimore
jCanandaigua Veterans Affairs Medical Center, New York
kVeterans Affairs Pacific Islands Health Care System, Honolulu, Hawaii
lDuke University Medical Center, Durham, North Carolina

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Lauren Abbate ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0549

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gDavid Geffen School of Medicine at UCLA, Los Angeles, California
hVeterans Affairs Maryland Health Care System, Baltimore
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jCanandaigua Veterans Affairs Medical Center, New York
kVeterans Affairs Pacific Islands Health Care System, Honolulu, Hawaii
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Correspondence: Lauren Abbate ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0549

Author and Disclosure Information

Lauren M. Abbate, MD, PhDa,b; Kelli D. Allen, PhDc,d; P. Michael Ho, MD, PhDe; Steven C. Castle, MDf,g; Cathy C. Lee, MSf,g; Leslie I. Katzel, MD, PhDh,i; Jamie Giffuni, MAh; Teresa Kopp, MBA, PTj; Michelle McDonald, BS, OTR/Lk; Megan Pearson, MAc; Richard Sloane, MPHl; Vanessa Richardson, MSa; Katherine S. Hall, PhD, MSc,l; Miriam C. Morey, PhDc,l

Author affiliations
aVeterans Affairs Eastern Colorado Geriatric Research Education and Clinical Center, Aurora
bUniversity of Colorado, Aurora
cVeterans Affairs Durham Health Care System, North Carolina
dUniversity of North Carolina, Chapel Hill
eVeterans Affairs Eastern Colorado Health Care System, Aurora
fVeterans Affairs Greater Los Angeles Health Care System, California
gDavid Geffen School of Medicine at UCLA, Los Angeles, California
hVeterans Affairs Maryland Health Care System, Baltimore
iUniversity of Maryland School of Medicine, Baltimore
jCanandaigua Veterans Affairs Medical Center, New York
kVeterans Affairs Pacific Islands Health Care System, Honolulu, Hawaii
lDuke University Medical Center, Durham, North Carolina

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Lauren Abbate ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0549

Article PDF
Article PDF

About half of US adults aged ≥ 65 years report arthritis, and of those, 44% have an arthritis-attributable activity limitation.1,2 Arthritis is a significant health issue for veterans, with veterans reporting higher rates of disability compared with the civilian population.3

Osteoarthritis (OA) is the most common type of arthritis.4 Among individuals aged ≥ 40 years, the incidence of OA is nearly twice as high among veterans compared with civilians and is a leading cause of separation from military service and disability.5,6 OA pain and disability have been shown to be associated with increases in health care and medication use, including opioids, nonsteroidal anti-inflammatory medications, and muscle relaxants.7,8 Because OA is chronic and has no cure, safe and effective management strategies—such as exercise— are critical to minimize pain and maintain physical function.9

Exercise can reduce pain and disability associated with OA and is a first-line recommendation in guidelines for the treatment of knee and hip OA.9 Given the limited exercise and high levels of physical inactivity among veterans with OA, there is a need to identify opportunities that support veterans with OA engaging in regular exercise.

Gerofit, an outpatient clinical exercise program available at 30 Veterans Health Administration (VHA) sites, may provide an opportunity for older veterans with arthritis to engage in exercise.10 Gerofit is specifically designed for veterans aged ≥ 65 years. It is not disease-specific and supports older veterans with multiple chronic conditions, including OA. Veterans aged ≥ 65 years with a referral from a VA clinician are eligible for Gerofit. Those who are unable to perform activities of daily living; unable to independently function without assistance; have a history of unstable angina, proliferative diabetic retinopathy, oxygen dependence, volatile behavioral issues, or are unable to work successfully in a group environment/setting; experience active substance abuse, homelessness, or uncontrolled incontinence; and have open wounds that cannot be appropriately dressed are excluded from Gerofit. Exercise sessions are held 3 times per week and last from 60 to 90 minutes. Sessions are supervised by Gerofit staff and include personalized exercise prescriptions based on functional assessments. Exercise prescriptions include aerobic, resistance, and balance/flexibility components and are modified by the Gerofit program staff as needed. Gerofit adopts a functional fitness approach and includes individual progression as appropriate according to evidence-based guidelines, using the Borg ratings of perceived exertion. 11 Assessments are performed at baseline, 3 months, 6 months, and annually thereafter. Clinical staff conduct all assessments, including physical function testing, and record them in a database. Assessments are reviewed with the veteran to chart progress and identify future goals or needs. Veterans perform personalized self-paced exercises in the Gerofit group setting. Exercise prescriptions are continuously modified to meet individualized needs and goals. Veterans may participate continuously with no end date.

Participation in supervised exercise is associated with improved physical function and individuals with arthritis can improve function even though their baseline functional status is lower than individuals without arthritis. 12 In this analysis, we examine the impact of exercise on the status and location of arthritis (upper body, lower body, or both). Lower body arthritis is more common than upper body arthritis and lower extremity function is associated with increased ability to perform activities of daily living, resulting in independence among older adults.13,14 We also include upper body strength measures to capture important functional movements such as reaching and pulling.15 Among those who participate in Gerofit, the greatest gains in physical function occur during the initial 3 months, which tend to be sustained over 12 months.16 For this reason, this study focused on the initial 3 months of the program.

Older adults with arthritis may have pain and functional limitations that exceed those of the general older adult population. Exercise programs for older adults that do not specifically target arthritis but are able to improve physical function among those with arthritis could potentially increase access to exercise for older adults living with arthritis. Therefore, the purpose of this study was to determine whether change in physical function with participation in Gerofit for 3 months varies by arthritis status, including no arthritis, any arthritis, lower body arthritis, or both upper and lower body arthritis compared with no arthritis.

Methods

This is a secondary analysis of previously collected data from 10 VHA Gerofit sites (Ann Arbor, Baltimore, Greater Los Angeles, Canandaigua, Cincinnati, Miami, Honolulu, Denver, Durham, and Pittsburgh) from 2002 to 2019. Implementation data regarding the consistency of the program delivery at Gerofit expansion sites have been previously published.16 Although the delivery of Gerofit transitioned to telehealth due to COVID-19, data for this analysis were collected from in-person exercise sessions prior to the pandemic.17 Data were collected for clinical purposes. This project was part of the Gerofit quality improvement initiative and was reviewed and approved by the Durham Institutional Review Board as quality improvement.

Participants in Gerofit who completed baseline and 3-month assessments were included to analyze the effects of exercise on physical function. At each of the time points, physical functional assessments included: (1) usual gait speed (> 10 meters [m/s], or 10- meter walk test [10MWT]); (2) lower body strength (chair stands [number completed in 30 seconds]); (3) upper body strength (number of arm curls [5-lb for females/8-lb for males] completed in 30 seconds); and (4) 6-minute walk distance [6MWD] in meters to measure aerobic endurance). These measures have been validated in older adults.18-21 Arm curls were added to the physical function assessments after the 10MWT, chair stands, and 6MWD; therefore, fewer participants had data for this measure. Participants self-reported at baseline on 45 common medical conditions, including arthritis or rheumatism (both upper body and lower body were offered as choices). Self-reporting has been shown to be an acceptable method of identifying arthritis in adults.22

Descriptive statistics at baseline were calculated for all participants. One-way analysis of variance and X2 tests were used to determine differences in baseline characteristics across arthritis status. The primary outcomes were changes in physical function measures from baseline to 3 months by arthritis status. Arthritis status was defined as: any arthritis, which includes individuals who reported upper body arthritis, lower body arthritis, or both; and arthritis status individuals reporting either upper body arthritis, lower body arthritis, or both. Categories of arthritis for arthritis status were mutually exclusive. Two separate linear models were constructed for each of the 4 physical function measures, with change from baseline to 3 months as the outcome (dependent variable) and arthritis status, age, and body mass index (BMI) as predictors (independent variables). The first model compared any arthritis with no arthritis and the second model compared arthritis status (both upper and lower body arthritis vs lower body arthritis) with no arthritis. These models were used to obtain mean changes and 95% CIs in physical function and to test for differences in the change in physical function measures by arthritis status. Statistical analyses were performed using R software, version 4.0.3.

Results

Baseline and 3-month data were available for 737 Gerofit participants and included in the analysis. The mean (SD) age was 73.5 (7.1) years. A total of 707 participants were male (95.9%) and 322 (43.6%) reported some arthritis, with arthritis in both the upper and lower body being reported by 168 participants (52.2%) (Table 1). There were no differences in age, sex, or race for those with any arthritis compared with those with no arthritis, but BMI was significantly higher in those reporting any arthritis compared with no arthritis. For the baseline functional measures, statistically significant differences were observed between those with no arthritis and those reporting any arthritis for the 10MWT (P = .001), chair stands (P = .046), and 6MWD (P = .001), but not for arm curls (P = .77), with those with no arthritis performing better.

FDP04202100_T1

All 4 arthritis status groups showed improvements in each of the physical function measures over 3 months. For the 10MWT the mean change (95% CI) in gait speed (m/s) was 0.06 (0.04-0.08) for patients with no arthritis, 0.07 (0.05- 0.08) for any arthritis, 0.07 (0.04-0.11) for lower body arthritis, and 0.07 (0.04- 0.09) for both lower and upper body arthritis. For the number of arm curls in 30 seconds the mean change (95% CI) was 2.3 (1.8-2.8) for patients with no arthritis, 2.1 (1.5-2.6) for any arthritis, 2.0 (1.1-3.0) for lower body arthritis, and 1.9 (1.1-2.7) for both lower and upper body arthritis. For the number of chair stands in 30 seconds the mean change (95% CI) was 2.1 (1.7-2.4) for patients with no arthritis, 2.2 (1.8-2.6) for any arthritis, 2.3 (1.6-2.9), for lower body arthritis, and 2.0 (1.5-2.5) for both lower and upper body arthritis. For the 6MWD distance in meters the mean change (95% CI) was 21.5 (15.5-27.4) for patients with no arthritis, 28.6 (21.9-35.3) for any arthritis, 30.4 (19.5-41.3) for lower body arthritis, and 28.6 (19.2-38.0) for both lower and upper body arthritis (Figure).

FDP04202100_F1

We used 2 models to measure the change from baseline to 3 months for each of the arthritis groups. Model 1 compared any arthritis vs no arthritis and model 2 compared lower body arthritis and both upper and lower body arthritis vs no arthritis for each physical function measure (Table 2). There were no statistically significant differences in 3-month change in physical function for any of the physical function measures between arthritis groups after adjusting for age and BMI.

FDP04202100_T2

Discussion

Participation in Gerofit was associated with functional gains among all participants over 3 months, regardless of arthritis status. Older veterans reporting any arthritis had significantly lower physical function scores upon enrollment into Gerofit compared with those veterans reporting no arthritis. However, compared with individuals who reported no arthritis, individuals who reported arthritis (any arthritis, lower body arthritis only, or both lower and upper body arthritis) experienced similar improvements (ie, no statistically significant differences in mean change from baseline to follow-up among those with and without arthritis). This study suggests that progressive, multicomponent exercise programs for older adults may be beneficial for those with arthritis.

Involvement of multiple sites of arthritis is associated with moderate to severe functional limitations as well as lower healthrelated quality of life.23 While it has been found that individuals with arthritis can improve function with supervised exercise, even though their baseline functional status is lower than individuals without arthritis, it was not clear whether individuals with multiple joint involvement also would benefit.12 The results of this study suggest that these individuals can improve across various domains of physical function despite variation in arthritis location and status. As incidence of arthritis increases with age, targeting older adults for exercise programs such as Gerofit may improve functional limitations and health-related quality of life associated with arthritis.2

We evaluated physical function using multiple measures to assess upper (arm curls) and lower (chair stands, 10MWT) extremity physical function and aerobic endurance (6MWD). Participants in this study reached clinically meaningful changes with 3 months of participation in Gerofit for most of the physical function measures. Gerofit participants had a mean gait speed improvement of 0.05 to 0.07 m/s compared with 0.10 to 0.30 m/s, which was reported previously. 24,25 In this study, nearly all groups achieved the clinically important improvements in the chair stand in 30 seconds (2.0 to 2.6) and the 6MWD (21.8 to 59.1 m) that have been reported in the literature.24-26

The Osteoarthritis Research Society International recommends the chair stand and 6MWD performance-based tests for individuals with hip and knee arthritis because they align with patient-reported outcomes and represent the types of activities relevant to this population.27 The findings of this study suggest that improvement in these physical function measures with participation in exercise align with data from arthritis-specific exercise programs designed for wide implementation. Hughes and colleagues reported improvements in the 6MWD after the 8-week Fit and Strong exercise intervention, which included walking and lower body resistance training.28 The Arthritis Foundation’s Walk With Ease program is a 6-week walking program that has shown improvements in chair stands and gait speed.29 Another Arthritis Foundation program, People with Arthritis Can Exercise, is an 8-week course consisting of a variety of resistance, aerobic, and balance activities. This program has been associated with increases in chair stands but not gait speed or 6MWD.30,31

This study found that participation in a VHA outpatient clinical supervised exercise program results in improvements in physical function that can be realized by older adults regardless of arthritis burden. Gerofit programs typically require 1.5 to 2.0 dedicated full-time equivalent employees to run the program effectively and additional administrative support, depending on size of the program.32 The cost savings generated by the program include reductions in hospitalization rates, emergency department visits, days in hospital, and medication use and provide a compelling argument for the program’s financial viability to health care systems through long-term savings and improved health outcomes for older adults.33-36

While evidenced-based arthritis programs exist, this study illustrates that an exercise program without a focus on arthritis also improves physical function, potentially reducing the risk of disability related to arthritis. The clinical implication for these findings is that arthritis-specific exercise programs may not be needed to achieve functional improvements in individuals with arthritis. This is critical for under-resourced or exercise- limited health care systems or communities. Therefore, if exercise programming is limited, or arthritis-specific programs and interventions are not available, nonspecific exercise programs will also be beneficial to individuals with arthritis. Thus, individuals with arthritis should be encouraged to participate in any available exercise programming to achieve improvements in physical function. In addition, many older adults have multiple comorbidities, most of which improve with participation in exercise. 37 Disease-specific exercise programs can offer tailored exercises and coaching related to common barriers in participation, such as joint pain for arthritis.31 It is unclear whether these additional programmatic components are associated with greater improvements in outcomes, such as physical function. More research is needed to explore the benefits of disease-specific tailored exercise programs compared with general exercise programs.

Strengths and Limitations

This study demonstrated the effect of participation in a clinical, supervised exercise program in a real-world setting. It suggests that even exercise programs not specifically targeted for arthritis populations can improve physical function among those with arthritis.

As a VHA clinical supervised exercise program, Gerofit may not be generalizable to all older adults or other exercise programs. In addition, this analysis only included a veteran population that was > 95% male and may not be generalizable to other populations. Arthritis status was defined by self-report and not verified in the health record. However, this approach has been shown to be acceptable in this setting and the most common type of arthritis in this population (OA) is a painful musculoskeletal condition associated with functional limitations.4,22,38,39 Self-reported arthritis or rheumatism is associated with functional limitations.1 Therefore, it is unlikely that the results would differ for physician-diagnosed or radiographically defined OA. Additionally, the study did not have data on the total number of joints with arthritis or arthritis severity but rather used upper body, lower body, and both upper and lower body arthritis as a proxy for arthritis status. While our models were adjusted for age and BMI, 2 known confounding factors for the association between arthritis and physical function, there are other potential confounding factors that were not included in the models. 40,41 Finally, this study only included individuals with completed baseline and 3-month follow-up assessments, and the individuals who participated for longer or shorter periods may have had different physical function outcomes than individuals included in this study.

Conclusions

Participation in 3 months VHA Gerofit outpatient supervised exercise programs can improve physical function for all older adults, regardless of arthritis status. These programs may increase access to exercise programming that is beneficial for common conditions affecting older adults, such as arthritis.

About half of US adults aged ≥ 65 years report arthritis, and of those, 44% have an arthritis-attributable activity limitation.1,2 Arthritis is a significant health issue for veterans, with veterans reporting higher rates of disability compared with the civilian population.3

Osteoarthritis (OA) is the most common type of arthritis.4 Among individuals aged ≥ 40 years, the incidence of OA is nearly twice as high among veterans compared with civilians and is a leading cause of separation from military service and disability.5,6 OA pain and disability have been shown to be associated with increases in health care and medication use, including opioids, nonsteroidal anti-inflammatory medications, and muscle relaxants.7,8 Because OA is chronic and has no cure, safe and effective management strategies—such as exercise— are critical to minimize pain and maintain physical function.9

Exercise can reduce pain and disability associated with OA and is a first-line recommendation in guidelines for the treatment of knee and hip OA.9 Given the limited exercise and high levels of physical inactivity among veterans with OA, there is a need to identify opportunities that support veterans with OA engaging in regular exercise.

Gerofit, an outpatient clinical exercise program available at 30 Veterans Health Administration (VHA) sites, may provide an opportunity for older veterans with arthritis to engage in exercise.10 Gerofit is specifically designed for veterans aged ≥ 65 years. It is not disease-specific and supports older veterans with multiple chronic conditions, including OA. Veterans aged ≥ 65 years with a referral from a VA clinician are eligible for Gerofit. Those who are unable to perform activities of daily living; unable to independently function without assistance; have a history of unstable angina, proliferative diabetic retinopathy, oxygen dependence, volatile behavioral issues, or are unable to work successfully in a group environment/setting; experience active substance abuse, homelessness, or uncontrolled incontinence; and have open wounds that cannot be appropriately dressed are excluded from Gerofit. Exercise sessions are held 3 times per week and last from 60 to 90 minutes. Sessions are supervised by Gerofit staff and include personalized exercise prescriptions based on functional assessments. Exercise prescriptions include aerobic, resistance, and balance/flexibility components and are modified by the Gerofit program staff as needed. Gerofit adopts a functional fitness approach and includes individual progression as appropriate according to evidence-based guidelines, using the Borg ratings of perceived exertion. 11 Assessments are performed at baseline, 3 months, 6 months, and annually thereafter. Clinical staff conduct all assessments, including physical function testing, and record them in a database. Assessments are reviewed with the veteran to chart progress and identify future goals or needs. Veterans perform personalized self-paced exercises in the Gerofit group setting. Exercise prescriptions are continuously modified to meet individualized needs and goals. Veterans may participate continuously with no end date.

Participation in supervised exercise is associated with improved physical function and individuals with arthritis can improve function even though their baseline functional status is lower than individuals without arthritis. 12 In this analysis, we examine the impact of exercise on the status and location of arthritis (upper body, lower body, or both). Lower body arthritis is more common than upper body arthritis and lower extremity function is associated with increased ability to perform activities of daily living, resulting in independence among older adults.13,14 We also include upper body strength measures to capture important functional movements such as reaching and pulling.15 Among those who participate in Gerofit, the greatest gains in physical function occur during the initial 3 months, which tend to be sustained over 12 months.16 For this reason, this study focused on the initial 3 months of the program.

Older adults with arthritis may have pain and functional limitations that exceed those of the general older adult population. Exercise programs for older adults that do not specifically target arthritis but are able to improve physical function among those with arthritis could potentially increase access to exercise for older adults living with arthritis. Therefore, the purpose of this study was to determine whether change in physical function with participation in Gerofit for 3 months varies by arthritis status, including no arthritis, any arthritis, lower body arthritis, or both upper and lower body arthritis compared with no arthritis.

Methods

This is a secondary analysis of previously collected data from 10 VHA Gerofit sites (Ann Arbor, Baltimore, Greater Los Angeles, Canandaigua, Cincinnati, Miami, Honolulu, Denver, Durham, and Pittsburgh) from 2002 to 2019. Implementation data regarding the consistency of the program delivery at Gerofit expansion sites have been previously published.16 Although the delivery of Gerofit transitioned to telehealth due to COVID-19, data for this analysis were collected from in-person exercise sessions prior to the pandemic.17 Data were collected for clinical purposes. This project was part of the Gerofit quality improvement initiative and was reviewed and approved by the Durham Institutional Review Board as quality improvement.

Participants in Gerofit who completed baseline and 3-month assessments were included to analyze the effects of exercise on physical function. At each of the time points, physical functional assessments included: (1) usual gait speed (> 10 meters [m/s], or 10- meter walk test [10MWT]); (2) lower body strength (chair stands [number completed in 30 seconds]); (3) upper body strength (number of arm curls [5-lb for females/8-lb for males] completed in 30 seconds); and (4) 6-minute walk distance [6MWD] in meters to measure aerobic endurance). These measures have been validated in older adults.18-21 Arm curls were added to the physical function assessments after the 10MWT, chair stands, and 6MWD; therefore, fewer participants had data for this measure. Participants self-reported at baseline on 45 common medical conditions, including arthritis or rheumatism (both upper body and lower body were offered as choices). Self-reporting has been shown to be an acceptable method of identifying arthritis in adults.22

Descriptive statistics at baseline were calculated for all participants. One-way analysis of variance and X2 tests were used to determine differences in baseline characteristics across arthritis status. The primary outcomes were changes in physical function measures from baseline to 3 months by arthritis status. Arthritis status was defined as: any arthritis, which includes individuals who reported upper body arthritis, lower body arthritis, or both; and arthritis status individuals reporting either upper body arthritis, lower body arthritis, or both. Categories of arthritis for arthritis status were mutually exclusive. Two separate linear models were constructed for each of the 4 physical function measures, with change from baseline to 3 months as the outcome (dependent variable) and arthritis status, age, and body mass index (BMI) as predictors (independent variables). The first model compared any arthritis with no arthritis and the second model compared arthritis status (both upper and lower body arthritis vs lower body arthritis) with no arthritis. These models were used to obtain mean changes and 95% CIs in physical function and to test for differences in the change in physical function measures by arthritis status. Statistical analyses were performed using R software, version 4.0.3.

Results

Baseline and 3-month data were available for 737 Gerofit participants and included in the analysis. The mean (SD) age was 73.5 (7.1) years. A total of 707 participants were male (95.9%) and 322 (43.6%) reported some arthritis, with arthritis in both the upper and lower body being reported by 168 participants (52.2%) (Table 1). There were no differences in age, sex, or race for those with any arthritis compared with those with no arthritis, but BMI was significantly higher in those reporting any arthritis compared with no arthritis. For the baseline functional measures, statistically significant differences were observed between those with no arthritis and those reporting any arthritis for the 10MWT (P = .001), chair stands (P = .046), and 6MWD (P = .001), but not for arm curls (P = .77), with those with no arthritis performing better.

FDP04202100_T1

All 4 arthritis status groups showed improvements in each of the physical function measures over 3 months. For the 10MWT the mean change (95% CI) in gait speed (m/s) was 0.06 (0.04-0.08) for patients with no arthritis, 0.07 (0.05- 0.08) for any arthritis, 0.07 (0.04-0.11) for lower body arthritis, and 0.07 (0.04- 0.09) for both lower and upper body arthritis. For the number of arm curls in 30 seconds the mean change (95% CI) was 2.3 (1.8-2.8) for patients with no arthritis, 2.1 (1.5-2.6) for any arthritis, 2.0 (1.1-3.0) for lower body arthritis, and 1.9 (1.1-2.7) for both lower and upper body arthritis. For the number of chair stands in 30 seconds the mean change (95% CI) was 2.1 (1.7-2.4) for patients with no arthritis, 2.2 (1.8-2.6) for any arthritis, 2.3 (1.6-2.9), for lower body arthritis, and 2.0 (1.5-2.5) for both lower and upper body arthritis. For the 6MWD distance in meters the mean change (95% CI) was 21.5 (15.5-27.4) for patients with no arthritis, 28.6 (21.9-35.3) for any arthritis, 30.4 (19.5-41.3) for lower body arthritis, and 28.6 (19.2-38.0) for both lower and upper body arthritis (Figure).

FDP04202100_F1

We used 2 models to measure the change from baseline to 3 months for each of the arthritis groups. Model 1 compared any arthritis vs no arthritis and model 2 compared lower body arthritis and both upper and lower body arthritis vs no arthritis for each physical function measure (Table 2). There were no statistically significant differences in 3-month change in physical function for any of the physical function measures between arthritis groups after adjusting for age and BMI.

FDP04202100_T2

Discussion

Participation in Gerofit was associated with functional gains among all participants over 3 months, regardless of arthritis status. Older veterans reporting any arthritis had significantly lower physical function scores upon enrollment into Gerofit compared with those veterans reporting no arthritis. However, compared with individuals who reported no arthritis, individuals who reported arthritis (any arthritis, lower body arthritis only, or both lower and upper body arthritis) experienced similar improvements (ie, no statistically significant differences in mean change from baseline to follow-up among those with and without arthritis). This study suggests that progressive, multicomponent exercise programs for older adults may be beneficial for those with arthritis.

Involvement of multiple sites of arthritis is associated with moderate to severe functional limitations as well as lower healthrelated quality of life.23 While it has been found that individuals with arthritis can improve function with supervised exercise, even though their baseline functional status is lower than individuals without arthritis, it was not clear whether individuals with multiple joint involvement also would benefit.12 The results of this study suggest that these individuals can improve across various domains of physical function despite variation in arthritis location and status. As incidence of arthritis increases with age, targeting older adults for exercise programs such as Gerofit may improve functional limitations and health-related quality of life associated with arthritis.2

We evaluated physical function using multiple measures to assess upper (arm curls) and lower (chair stands, 10MWT) extremity physical function and aerobic endurance (6MWD). Participants in this study reached clinically meaningful changes with 3 months of participation in Gerofit for most of the physical function measures. Gerofit participants had a mean gait speed improvement of 0.05 to 0.07 m/s compared with 0.10 to 0.30 m/s, which was reported previously. 24,25 In this study, nearly all groups achieved the clinically important improvements in the chair stand in 30 seconds (2.0 to 2.6) and the 6MWD (21.8 to 59.1 m) that have been reported in the literature.24-26

The Osteoarthritis Research Society International recommends the chair stand and 6MWD performance-based tests for individuals with hip and knee arthritis because they align with patient-reported outcomes and represent the types of activities relevant to this population.27 The findings of this study suggest that improvement in these physical function measures with participation in exercise align with data from arthritis-specific exercise programs designed for wide implementation. Hughes and colleagues reported improvements in the 6MWD after the 8-week Fit and Strong exercise intervention, which included walking and lower body resistance training.28 The Arthritis Foundation’s Walk With Ease program is a 6-week walking program that has shown improvements in chair stands and gait speed.29 Another Arthritis Foundation program, People with Arthritis Can Exercise, is an 8-week course consisting of a variety of resistance, aerobic, and balance activities. This program has been associated with increases in chair stands but not gait speed or 6MWD.30,31

This study found that participation in a VHA outpatient clinical supervised exercise program results in improvements in physical function that can be realized by older adults regardless of arthritis burden. Gerofit programs typically require 1.5 to 2.0 dedicated full-time equivalent employees to run the program effectively and additional administrative support, depending on size of the program.32 The cost savings generated by the program include reductions in hospitalization rates, emergency department visits, days in hospital, and medication use and provide a compelling argument for the program’s financial viability to health care systems through long-term savings and improved health outcomes for older adults.33-36

While evidenced-based arthritis programs exist, this study illustrates that an exercise program without a focus on arthritis also improves physical function, potentially reducing the risk of disability related to arthritis. The clinical implication for these findings is that arthritis-specific exercise programs may not be needed to achieve functional improvements in individuals with arthritis. This is critical for under-resourced or exercise- limited health care systems or communities. Therefore, if exercise programming is limited, or arthritis-specific programs and interventions are not available, nonspecific exercise programs will also be beneficial to individuals with arthritis. Thus, individuals with arthritis should be encouraged to participate in any available exercise programming to achieve improvements in physical function. In addition, many older adults have multiple comorbidities, most of which improve with participation in exercise. 37 Disease-specific exercise programs can offer tailored exercises and coaching related to common barriers in participation, such as joint pain for arthritis.31 It is unclear whether these additional programmatic components are associated with greater improvements in outcomes, such as physical function. More research is needed to explore the benefits of disease-specific tailored exercise programs compared with general exercise programs.

Strengths and Limitations

This study demonstrated the effect of participation in a clinical, supervised exercise program in a real-world setting. It suggests that even exercise programs not specifically targeted for arthritis populations can improve physical function among those with arthritis.

As a VHA clinical supervised exercise program, Gerofit may not be generalizable to all older adults or other exercise programs. In addition, this analysis only included a veteran population that was > 95% male and may not be generalizable to other populations. Arthritis status was defined by self-report and not verified in the health record. However, this approach has been shown to be acceptable in this setting and the most common type of arthritis in this population (OA) is a painful musculoskeletal condition associated with functional limitations.4,22,38,39 Self-reported arthritis or rheumatism is associated with functional limitations.1 Therefore, it is unlikely that the results would differ for physician-diagnosed or radiographically defined OA. Additionally, the study did not have data on the total number of joints with arthritis or arthritis severity but rather used upper body, lower body, and both upper and lower body arthritis as a proxy for arthritis status. While our models were adjusted for age and BMI, 2 known confounding factors for the association between arthritis and physical function, there are other potential confounding factors that were not included in the models. 40,41 Finally, this study only included individuals with completed baseline and 3-month follow-up assessments, and the individuals who participated for longer or shorter periods may have had different physical function outcomes than individuals included in this study.

Conclusions

Participation in 3 months VHA Gerofit outpatient supervised exercise programs can improve physical function for all older adults, regardless of arthritis status. These programs may increase access to exercise programming that is beneficial for common conditions affecting older adults, such as arthritis.

References
  1. Centers for Disease Control and Prevention. Prevalence and most common causes of disability among adults- -United States, 2005. MMWR Morb Mortal Wkly Rep. 2009;58:421-426.
  2. Theis KA, Murphy LB, Guglielmo D, et al. Prevalence of arthritis and arthritis-attributable activity limitation—United States, 2016–2018. MMWR Morb Mortal Wkly Rep. 2021;70:1401-1407. doi:10.15585/mmwr.mm7040a2
  3. Murphy LB, Helmick CG, Allen KD, et al. Arthritis among veterans—United States, 2011–2013. MMWR Morb Mortal Wkly Rep. 2014;63:999-1003.
  4. Park J, Mendy A, Vieira ER. Various types of arthritis in the United States: prevalence and age-related trends from 1999 to 2014. Am J Public Health. 2018;108:256-258.
  5. Cameron KL, Hsiao MS, Owens BD, Burks R, Svoboda SJ. Incidence of physician-diagnosed osteoarthritis among active duty United States military service members. Arthritis Rheum. 2011;63:2974-2982. doi:10.1002/art.30498
  6. Patzkowski JC, Rivera JC, Ficke JR, Wenke JC. The changing face of disability in the US Army: the Operation Enduring Freedom and Operation Iraqi Freedom effect. J Am Acad Orthop Surg. 2012;20(suppl 1):S23-S30. doi:10.5435/JAAOS-20-08-S23
  7. Rivera JC, Amuan ME, Morris RM, Johnson AE, Pugh MJ. Arthritis, comorbidities, and care utilization in veterans of Operations Enduring and Iraqi Freedom. J Orthop Res. 2017;35:682-687. doi:10.1002/jor.23323
  8. Singh JA, Nelson DB, Fink HA, Nichol KL. Health-related quality of life predicts future health care utilization and mortality in veterans with self-reported physician-diagnosed arthritis: the Veterans Arthritis Quality of Life Study. Semin Arthritis Rheum. 2005;34:755- 765. doi:10.1016/j.semarthrit.2004.08.001
  9. Nelson AE, Allen KD, Golightly YM, Goode AP, Jordan JM. A systematic review of recommendations and guidelines for the management of osteoarthritis: the Chronic Osteoarthritis Management Initiative of the U.S. Bone and Joint Initiative. Semin Arthritis Rheum. 2014;43:701-712. doi:10.1016/j.semarthrit.2013.11.012
  10. Morey MC, Crowley GM, Robbins MS, Cowper PA, Sullivan RJ Jr. The Gerofit Program: a VA innovation. South Med J. 1994;87:S83-S87.
  11. Chen MJ, Fan X, Moe ST. Criterion-related validity of the Borg ratings of perceived exertion scale in healthy individuals: a meta-analysis. J Sports Sci. 2002;20:873-899. doi:10.1080/026404102320761787
  12. Morey MC, Pieper CF, Sullivan RJ Jr, Crowley GM, Cowper PA, Robbins MS. Five-year performance trends for older exercisers: a hierarchical model of endurance, strength, and flexibility. J Am Geriatr Soc. 1996;44:1226-1231. doi:10.1111/j.1532-5415.1996.tb01374.x
  13. Allen KD, Gol ight ly YM. State of the evidence. Curr Opin Rheumatol. 2015;27:276-283. doi:10.1097/BOR.0000000000000161
  14. den Ouden MEM, Schuurmans MJ, Arts IEMA, van der Schouw YT. Association between physical performance characteristics and independence in activities of daily living in middle-aged and elderly men. Geriatr Gerontol Int. 2013;13:274-280. doi:10.1111/j.1447-0594.2012.00890.x
  15. Daly M, Vidt ME, Eggebeen JD, et al. Upper extremity muscle volumes and functional strength after resistance training in older adults. J Aging Phys Act. 2013;21:186-207. doi:10.1123/japa.21.2.186
  16. Morey MC, Lee CC, Castle S, et al. Should structured exercise be promoted as a model of care? Dissemination of the Department of Veterans Affairs Gerofit Program. J Am Geriatr Soc. 2018;66:1009-1016. doi:10.1111/jgs.15276
  17. Jennings SC, Manning KM, Bettger JP, et al. Rapid transition to telehealth group exercise and functional assessments in response to COVID-19. Gerontol Geriatr Med. 2020;6:2333721420980313. doi:10.1177/ 2333721420980313
  18. Studenski S, Perera S, Wallace D, et al. Physical performance measures in the clinical setting. J Am Geriatr Soc. 2003;51:314-322. doi:10.1046/j.1532-5415.2003.51104.x
  19. Jones CJ, Rikli RE, Beam WC. A 30-s chair-stand test as a measure of lower body strength in community residing older adults. Res Q Exerc Sport. 1999;70:113- 119. doi:10.1080/02701367.1999.10608028
  20. Rikli RE, Jones CJ. Development and validation of a functional fitness test for community-residing older adults. J Aging Phys Act. 1999;7:129-161. doi:10.1123/japa.7.2.129
  21. Harada ND, Chiu V, Stewart AL. Mobility-related function in older adults: assessment with a 6-minute walk test. Arch Phys Med Rehabil. 1999;80:837-841. doi:10.1016/s0003-9993(99)90236-8
  22. Peeters GGME, Alshurafa M, Schaap L, de Vet HCW. Diagnostic accuracy of self-reported arthritis in the general adult population is acceptable. J Clin Epidemiol. 2015;68:452-459. doi:10.1016/j.jclinepi.2014.09.019
  23. Cuperus N, Vliet Vlieland TPM, Mahler EAM, Kersten CC, Hoogeboom TJ, van den Ende CHM. The clinical burden of generalized osteoarthritis represented by self-reported health-related quality of life and activity limitations: a cross-sectional study. Rheumatol Int. 2015;35:871-877. doi:10.1007/s00296-014-3149-1
  24. Coleman G, Dobson F, Hinman RS, Bennell K, White DK. Measures of physical performance. Arthritis Care Res (Hoboken). 2020;72(suppl 10):452-485. doi:10.1002/acr.24373
  25. Perera S, Mody SH, Woodman RC, Studenski SA. Meaningful change and responsiveness in common physical performance measures in older adults. J Am Geriatr Soc. 2006;54:743-749. doi:10.1111/j.1532-5415.2006.00701.x
  26. Wright AA, Cook CE, Baxter GD, Dockerty JD, Abbott JH. A comparison of 3 methodological approaches to defining major clinically important improvement of 4 performance measures in patients with hip osteoarthritis. J Orthop Sports Phys Ther. 2011;41:319-327. doi:10.2519/jospt.2011.3515
  27. Dobson F, Hinman R, Roos EM, et al. OARSI recommended performance-based tests to assess physical function in people diagnosed with hip or knee osteoarthritis. Osteoarthritis Cartilage. 2013;21:1042- 1052. doi:10.1016/j.joca.2013.05.002
  28. Hughes SL, Seymour RB, Campbell R, Pollak N, Huber G, Sharma L. Impact of the fit and strong intervention on older adults with osteoarthritis. Gerontologist. 2004;44:217-228. doi:10.1093/geront/44.2.217
  29. Callahan LF, Shreffler JH, Altpeter M, et al. Evaluation of group and self-directed formats of the Arthritis Foundation's Walk With Ease Program. Arthritis Care Res (Hoboken). 2011;63:1098-1107. doi:10.1002/acr.20490
  30. Boutaugh ML. Arthritis Foundation community-based physical activity programs: effectiveness and implementation issues. Arthritis Rheum. 2003;49:463-470. doi:10.1002/art.11050
  31. Callahan LF, Mielenz T, Freburger J, et al. A randomized controlled trial of the People with Arthritis Can Exercise Program: symptoms, function, physical activity, and psychosocial outcomes. Arthritis Rheum. 2008;59:92-101. doi:10.1002/art.23239
  32. Hall KS, Jennings SC, Pearson MP. Outpatient care models: the Gerofit model of care for exercise promotion in older adults. In: Malone ML, Boltz M, Macias Tejada J, White H, eds. Geriatrics Models of Care. Springer; 2024:205-213. doi:10.1007/978-3-031-56204-4_21
  33. Pepin MJ, Valencia WM, Bettger JP, et al. Impact of supervised exercise on one-year medication use in older veterans with multiple morbidities. Gerontol Geriatr Med. 2020;6:2333721420956751. doi:10.1177/ 2333721420956751
  34. Abbate L, Li J, Veazie P, et al. Does Gerofit exercise reduce veterans’ use of emergency department and inpatient care? Innov Aging. 2020;4(suppl 1):771. doi:10.1093/geroni/igaa057.2786
  35. Morey MC, Pieper CF, Crowley GM, Sullivan RJ Jr, Puglisi CM. Exercise adherence and 10-year mortality in chronically ill older adults. J Am Geriatr Soc. 2002;50:1929-1933. doi:10.1046/j.1532-5415.2002.50602.x
  36. Manning KM, Hall KS, Sloane R, et al. Longitudinal analysis of physical function in older adults: the effects of physical inactivity and exercise training. Aging Cell. 2024;23:e13987. doi:10.1111/acel.13987
  37. Bean JF, Vora A, Frontera WR. Benefits of exercise for community-dwelling older adults. Arch Phys Med Rehabil. 2004;85(7 suppl 3):S31-S42; quiz S3-S4. doi:10.1016/j.apmr.2004.03.010
  38. Covinsky KE, Lindquist K, Dunlop DD, Yelin E. Pain, functional limitations, and aging. J Am Geriatr Soc. 2009; 57:1556-1561. doi:10.1111/j.1532-5415.2009.02388.x
  39. Katz JN, Wright EA, Baron JA, Losina E. Development and validation of an index of musculoskeletal functional limitations. BMC Musculoskelet Disord. 2009;10:62. doi:10.1186/1471-2474-10-62
  40. Allen KD, Thoma LM, Golightly YM. Epidemiology of osteoarthritis. Osteoarthritis Cartilage. 2022;30:184-195. doi:10.1016/j.joca.2021.04.020
  41. Riebe D, Blissmer BJ, Greaney ML, Ewing Garber C, Lees FD, Clark PG. The relationship between obesity, physical activity, and physical function in older adults. J Aging Health. 2009;21:1159-1178. doi:10.1177/0898264309350076
References
  1. Centers for Disease Control and Prevention. Prevalence and most common causes of disability among adults- -United States, 2005. MMWR Morb Mortal Wkly Rep. 2009;58:421-426.
  2. Theis KA, Murphy LB, Guglielmo D, et al. Prevalence of arthritis and arthritis-attributable activity limitation—United States, 2016–2018. MMWR Morb Mortal Wkly Rep. 2021;70:1401-1407. doi:10.15585/mmwr.mm7040a2
  3. Murphy LB, Helmick CG, Allen KD, et al. Arthritis among veterans—United States, 2011–2013. MMWR Morb Mortal Wkly Rep. 2014;63:999-1003.
  4. Park J, Mendy A, Vieira ER. Various types of arthritis in the United States: prevalence and age-related trends from 1999 to 2014. Am J Public Health. 2018;108:256-258.
  5. Cameron KL, Hsiao MS, Owens BD, Burks R, Svoboda SJ. Incidence of physician-diagnosed osteoarthritis among active duty United States military service members. Arthritis Rheum. 2011;63:2974-2982. doi:10.1002/art.30498
  6. Patzkowski JC, Rivera JC, Ficke JR, Wenke JC. The changing face of disability in the US Army: the Operation Enduring Freedom and Operation Iraqi Freedom effect. J Am Acad Orthop Surg. 2012;20(suppl 1):S23-S30. doi:10.5435/JAAOS-20-08-S23
  7. Rivera JC, Amuan ME, Morris RM, Johnson AE, Pugh MJ. Arthritis, comorbidities, and care utilization in veterans of Operations Enduring and Iraqi Freedom. J Orthop Res. 2017;35:682-687. doi:10.1002/jor.23323
  8. Singh JA, Nelson DB, Fink HA, Nichol KL. Health-related quality of life predicts future health care utilization and mortality in veterans with self-reported physician-diagnosed arthritis: the Veterans Arthritis Quality of Life Study. Semin Arthritis Rheum. 2005;34:755- 765. doi:10.1016/j.semarthrit.2004.08.001
  9. Nelson AE, Allen KD, Golightly YM, Goode AP, Jordan JM. A systematic review of recommendations and guidelines for the management of osteoarthritis: the Chronic Osteoarthritis Management Initiative of the U.S. Bone and Joint Initiative. Semin Arthritis Rheum. 2014;43:701-712. doi:10.1016/j.semarthrit.2013.11.012
  10. Morey MC, Crowley GM, Robbins MS, Cowper PA, Sullivan RJ Jr. The Gerofit Program: a VA innovation. South Med J. 1994;87:S83-S87.
  11. Chen MJ, Fan X, Moe ST. Criterion-related validity of the Borg ratings of perceived exertion scale in healthy individuals: a meta-analysis. J Sports Sci. 2002;20:873-899. doi:10.1080/026404102320761787
  12. Morey MC, Pieper CF, Sullivan RJ Jr, Crowley GM, Cowper PA, Robbins MS. Five-year performance trends for older exercisers: a hierarchical model of endurance, strength, and flexibility. J Am Geriatr Soc. 1996;44:1226-1231. doi:10.1111/j.1532-5415.1996.tb01374.x
  13. Allen KD, Gol ight ly YM. State of the evidence. Curr Opin Rheumatol. 2015;27:276-283. doi:10.1097/BOR.0000000000000161
  14. den Ouden MEM, Schuurmans MJ, Arts IEMA, van der Schouw YT. Association between physical performance characteristics and independence in activities of daily living in middle-aged and elderly men. Geriatr Gerontol Int. 2013;13:274-280. doi:10.1111/j.1447-0594.2012.00890.x
  15. Daly M, Vidt ME, Eggebeen JD, et al. Upper extremity muscle volumes and functional strength after resistance training in older adults. J Aging Phys Act. 2013;21:186-207. doi:10.1123/japa.21.2.186
  16. Morey MC, Lee CC, Castle S, et al. Should structured exercise be promoted as a model of care? Dissemination of the Department of Veterans Affairs Gerofit Program. J Am Geriatr Soc. 2018;66:1009-1016. doi:10.1111/jgs.15276
  17. Jennings SC, Manning KM, Bettger JP, et al. Rapid transition to telehealth group exercise and functional assessments in response to COVID-19. Gerontol Geriatr Med. 2020;6:2333721420980313. doi:10.1177/ 2333721420980313
  18. Studenski S, Perera S, Wallace D, et al. Physical performance measures in the clinical setting. J Am Geriatr Soc. 2003;51:314-322. doi:10.1046/j.1532-5415.2003.51104.x
  19. Jones CJ, Rikli RE, Beam WC. A 30-s chair-stand test as a measure of lower body strength in community residing older adults. Res Q Exerc Sport. 1999;70:113- 119. doi:10.1080/02701367.1999.10608028
  20. Rikli RE, Jones CJ. Development and validation of a functional fitness test for community-residing older adults. J Aging Phys Act. 1999;7:129-161. doi:10.1123/japa.7.2.129
  21. Harada ND, Chiu V, Stewart AL. Mobility-related function in older adults: assessment with a 6-minute walk test. Arch Phys Med Rehabil. 1999;80:837-841. doi:10.1016/s0003-9993(99)90236-8
  22. Peeters GGME, Alshurafa M, Schaap L, de Vet HCW. Diagnostic accuracy of self-reported arthritis in the general adult population is acceptable. J Clin Epidemiol. 2015;68:452-459. doi:10.1016/j.jclinepi.2014.09.019
  23. Cuperus N, Vliet Vlieland TPM, Mahler EAM, Kersten CC, Hoogeboom TJ, van den Ende CHM. The clinical burden of generalized osteoarthritis represented by self-reported health-related quality of life and activity limitations: a cross-sectional study. Rheumatol Int. 2015;35:871-877. doi:10.1007/s00296-014-3149-1
  24. Coleman G, Dobson F, Hinman RS, Bennell K, White DK. Measures of physical performance. Arthritis Care Res (Hoboken). 2020;72(suppl 10):452-485. doi:10.1002/acr.24373
  25. Perera S, Mody SH, Woodman RC, Studenski SA. Meaningful change and responsiveness in common physical performance measures in older adults. J Am Geriatr Soc. 2006;54:743-749. doi:10.1111/j.1532-5415.2006.00701.x
  26. Wright AA, Cook CE, Baxter GD, Dockerty JD, Abbott JH. A comparison of 3 methodological approaches to defining major clinically important improvement of 4 performance measures in patients with hip osteoarthritis. J Orthop Sports Phys Ther. 2011;41:319-327. doi:10.2519/jospt.2011.3515
  27. Dobson F, Hinman R, Roos EM, et al. OARSI recommended performance-based tests to assess physical function in people diagnosed with hip or knee osteoarthritis. Osteoarthritis Cartilage. 2013;21:1042- 1052. doi:10.1016/j.joca.2013.05.002
  28. Hughes SL, Seymour RB, Campbell R, Pollak N, Huber G, Sharma L. Impact of the fit and strong intervention on older adults with osteoarthritis. Gerontologist. 2004;44:217-228. doi:10.1093/geront/44.2.217
  29. Callahan LF, Shreffler JH, Altpeter M, et al. Evaluation of group and self-directed formats of the Arthritis Foundation's Walk With Ease Program. Arthritis Care Res (Hoboken). 2011;63:1098-1107. doi:10.1002/acr.20490
  30. Boutaugh ML. Arthritis Foundation community-based physical activity programs: effectiveness and implementation issues. Arthritis Rheum. 2003;49:463-470. doi:10.1002/art.11050
  31. Callahan LF, Mielenz T, Freburger J, et al. A randomized controlled trial of the People with Arthritis Can Exercise Program: symptoms, function, physical activity, and psychosocial outcomes. Arthritis Rheum. 2008;59:92-101. doi:10.1002/art.23239
  32. Hall KS, Jennings SC, Pearson MP. Outpatient care models: the Gerofit model of care for exercise promotion in older adults. In: Malone ML, Boltz M, Macias Tejada J, White H, eds. Geriatrics Models of Care. Springer; 2024:205-213. doi:10.1007/978-3-031-56204-4_21
  33. Pepin MJ, Valencia WM, Bettger JP, et al. Impact of supervised exercise on one-year medication use in older veterans with multiple morbidities. Gerontol Geriatr Med. 2020;6:2333721420956751. doi:10.1177/ 2333721420956751
  34. Abbate L, Li J, Veazie P, et al. Does Gerofit exercise reduce veterans’ use of emergency department and inpatient care? Innov Aging. 2020;4(suppl 1):771. doi:10.1093/geroni/igaa057.2786
  35. Morey MC, Pieper CF, Crowley GM, Sullivan RJ Jr, Puglisi CM. Exercise adherence and 10-year mortality in chronically ill older adults. J Am Geriatr Soc. 2002;50:1929-1933. doi:10.1046/j.1532-5415.2002.50602.x
  36. Manning KM, Hall KS, Sloane R, et al. Longitudinal analysis of physical function in older adults: the effects of physical inactivity and exercise training. Aging Cell. 2024;23:e13987. doi:10.1111/acel.13987
  37. Bean JF, Vora A, Frontera WR. Benefits of exercise for community-dwelling older adults. Arch Phys Med Rehabil. 2004;85(7 suppl 3):S31-S42; quiz S3-S4. doi:10.1016/j.apmr.2004.03.010
  38. Covinsky KE, Lindquist K, Dunlop DD, Yelin E. Pain, functional limitations, and aging. J Am Geriatr Soc. 2009; 57:1556-1561. doi:10.1111/j.1532-5415.2009.02388.x
  39. Katz JN, Wright EA, Baron JA, Losina E. Development and validation of an index of musculoskeletal functional limitations. BMC Musculoskelet Disord. 2009;10:62. doi:10.1186/1471-2474-10-62
  40. Allen KD, Thoma LM, Golightly YM. Epidemiology of osteoarthritis. Osteoarthritis Cartilage. 2022;30:184-195. doi:10.1016/j.joca.2021.04.020
  41. Riebe D, Blissmer BJ, Greaney ML, Ewing Garber C, Lees FD, Clark PG. The relationship between obesity, physical activity, and physical function in older adults. J Aging Health. 2009;21:1159-1178. doi:10.1177/0898264309350076
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Impact of 3 Months of Supervised Exercise on Function by Arthritis Status

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Improving High-Risk Osteoporosis Medication Adherence and Safety With an Automated Dashboard

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Improving High-Risk Osteoporosis Medication Adherence and Safety With an Automated Dashboard

Osteoporotic fragility fractures constitute a significant public health concern, with 1 in 2 women and 1 in 5 men aged > 50 years sustaining an osteoporotic fracture.1 Osteoporotic fractures are costly and associated with reduced quality of life and impaired survival.2-6 Many interventions including fall mitigation, calcium, vitamin D supplementation, and osteoporosis—specific medications reduce fracture risk.7 New medications for treating osteoporosis, including anabolic therapies, are costly and require clinical oversight to ensure safe delivery. This includes laboratory monitoring, timing of in-clinic dosing and provision of sequence therapy.8,9 COVID-19 introduced numerous barriers to osteoporosis care, raising concerns for medication interruption and patients lost to follow-up, which made monitoring these high risk and costly medications even more important.

The US Department of Veterans Affairs (VA) was an early adopter of using the electronic health record to analyze and implement system-wide processes for population management and quality improvement.10 This enabled the creation of clinical dashboards to display key performance indicator data that support quality improvement and patient care initiatives.11-15 The VA Puget Sound Health Care System (VAPSHCS) has a dedicated osteoporosis clinic focused on preventing and treating veterans at high risk for fracture. Considering the growing utilization of osteoporosis medications, particularly those requiring timed sequential therapy to prevent bone mineral density loss and rebound osteoporotic fractures, close monitoring and follow-up is required. The COVID-19 pandemic made clear the need for proactive osteoporosis management. This article describes the creation and use of an automated clinic dashboard to identify and contact veterans with osteoporosis-related care needs, such as prescription refills, laboratory tests, and clinical visits.

Methods

An automated dashboard was created in partnership with VA pharmacy clinical informatics to display the osteoporosis medication prescription (including last refill), monitoring laboratory test values and most recent osteoporosis clinic visit for each clinic patient. Data from the VA Corporate Data Warehouse were extracted. The resulting tables were used to create a patient cohort with ≥ 1 active medication for alendronate, zoledronic acid, the parathyroid hormone analogues (PTH) teriparatide or abaloparatide, denosumab, or romosozumab. Notably, alendronate was the only oral bisphosphonate prescribed in the clinic. These data were formatted and displayed using Microsoft SQL Server Reporting Services. The secure and encrypted dashboard alerts the clinic staff when prescriptions, appointments, or laboratory tests, such as estimated glomerular filtration rate, 25-hydroxy vitamin D, calcium, and PTH are overdue or out of reference range. The dashboard tracked the most recent clinic visit or dual-energy X-ray absorptiometry (DXA) scan if performed within the VA. Overdue laboratory test alerts for bisphosphonates were flagged if delayed 12 months and 6 months for all other medications.

On March 20, 2021, the VAPSHCS osteoporosis clinic was staffed by 1 endocrinologist, 1 geriatrician, 1 rheumatologist, and 1 registered nurse (RN) coordinator. Overdue or out-of-range alerts were reviewed weekly by the RN coordinator, who addressed alerts. For any overdue laboratory work or prescription refills, the RN coordinator alerted the primary osteoporosis physician via the electronic health record for updated orders. Patients were contacted by phone to schedule a clinic visit, complete ordered laboratory work, or discuss osteoporosis medication refills based on the need identified by the dashboard. A letter was mailed to the patient requesting they contact the osteoporosis clinic for patients who could not be reached by phone after 2 attempts. If 3 attempts (2 phone calls and a letter) were unsuccessful, the osteoporosis physician was alerted so they could either call the patient, alert the primary referring clinician, or discontinue the osteoporosis medication.

Results

As of March 20, 2021, 139 patients were included on the dashboard. Ninety-two patients (66%) had unmet care needs and 29% were female. Ages ranged from 40 to 100 years (Table). The dashboard alerted the team to 3 patients lost to follow-up, all of whom had transferred to care outside the clinic. Twenty-three patients (17%) had overdue medications, including 2 (9%) who had not refilled oral bisphosphonate and 18 (78%) who were overdue for intravenous bisphosphonate treatment. One veteran flagged as overdue for their denosumab injection was unable to receive it due to a significant change in health status. Two veterans were overdue for a PTH analogue refill, 1 of whom had completed their course and transitioned to bisphosphonate.

FDP04202096_T1

The most common alert was 40 patients (29%) with overdue laboratory tests, 37 of which were receiving bisphosphonates. One patient included on the dashboard was taking romosozumab and all their monitoring parameters were up to date, thus their data were not included in the Table to prevent possible identification.

Discussion

A dashboard alerted the osteoporosis clinic team to veterans who were overdue for visits, laboratory work, and prescription renewals. Overall, 92 patients (66%) had unmet care needs identified by the dashboard, all of which were addressed with phone calls and/or letters. Most of the overdue medication refills and laboratory tests were for patients taking bisphosphonates avoiding VAPSHCS during the COVID-19 pandemic. The dashboard enabled the RN coordinator to promptly contact the patient, facilitate coordination of care requirements, and guarantee the safe and efficient delivery of osteoporosis care.

The VA has historically been a leader in the creation of clinical dashboards to support health campaigns.11,12 These dashboards have successfully improved quality metrics towards the treatment of hepatitis C virus, heart failure, and highrisk opioid prescribing.13-15 Data have shown that successful clinical dashboard implementation must be done in conjunction with protected time or staff to support care improvements.16 Additionally, the time required for clinical dashboards can limit their sustainability and feasibility.17 A study aimed at improving osteoporosis care for patients with Parkinson disease found that weekly multidisciplinary review of at-risk patients resulted in all new patients and 91% of follow-up patients receiving evidence- based osteoporosis treatments.17 However, despite the benefits, the intervention required significant time and resources. In contrast, the osteoporosis dashboard implemented at VAPSHCS was not time or resource intensive, requiring about 1 hour per week for the RN coordinator to review the dashboard and coordinate patient care needs.

Limitations

This study setting is unique from other health care organizations or VA health care systems. Implementation of a similar dashboard in other clinical settings where patients receive medical care in multiple health care systems may differ. The VA dedicates resources to support veteran population health management, which may not be available in other health care systems.11,12 These issues may pose a barrier to implementing a similar osteoporosis dashboard in non-VA facilities. In addition, it is significant that while the dashboard can be reconfigured and adapted to track veterans across different VA facilities, certain complexities arise if essential data, such as laboratory tests and DXA imaging, are conducted outside of VA facilities. In such cases, manual entry of this information into the dashboard would be necessary. Because the dashboard was quickly developed during the COVID-19 pandemic, this study lacked preimplementation data on laboratory testing, medication refills, and DXA imaging, which would have enabled a comparison of adherence before and after dashboard implementation. Finally, we acknowledge the delay in publishing these findings; however, we believe sharing innovative approaches to providing care for high-risk populations is essential, as demonstrated during the COVID-19 pandemic.

Conclusions

An osteoporosis clinic dashboard served as a valuable clinical support tool to ensure safe and effective osteoporosis medication delivery at VAPSHCS. Considering the growing utilization of osteoporosis medications, this dashboard plays a vital role in facilitating care coordination for patients receiving these high-risk treatments.18 Use of the dashboard supported the effective use of high-cost osteoporosis medications and is likely to improve clinical osteoporosis outcomes.

Despite the known fracture risk reduction, osteoporosis medication adherence is low.19,20 Maintaining consistent pharmacotherapy for osteoporosis is essential not only for fracture prevention but also reducing health care costs related to osteoporosis and preserving patient independence and functionality.21-24 While initially developed in response to the COVID-19 pandemic, the dashboard remains useful. The VAPSHCS osteoporosis clinic is now staffed by 2 physicians (endocrine and rheumatology) and the dashboard is still in use. The RN coordinator spends about 15 minutes per week using the dashboard and managing the 67 veterans on osteoporosis therapy. This dashboard represents a sustainable clinical tool with the capacity to minimize osteoporosis care gaps and improve outcomes.

References
  1. Johnell O, Kanis J. Epidemiology of osteoporotic fractures. Osteoporos Int. 2005;16(suppl 2):S3-S7. doi:10.1007/s00198-004-1702-6
  2. van Staa TP, Dennison EM, Leufkens HG, Cooper C. Epidemiology of fractures in England and Wales. Bone. 2001;29:517-522. doi:10.1016/s8756-3282(01)00614-7
  3. Dennison E, Cooper C. Epidemiology of osteoporotic fractures. Horm Res. 2000;54(suppl 1):58-63. doi:10.1159/000063449
  4. Cooper C. Epidemiology and public health impact of osteoporosis. Baillieres Clin Rheumatol. 1993;7:459-477. doi:10.1016/s0950-3579(05)80073-1
  5. Dolan P, Torgerson DJ. The cost of treating osteoporotic fractures in the United Kingdom female population. Osteoporos Int. 1998;8:611-617. doi:10.1007/s001980050107
  6. Burge R, Dawson-Hughes B, Solomon DH, Wong JB, King A, Tosteson A. Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025. J Bone Miner Res. 2007;22:465-475. doi:10.1359/jbmr.061113
  7. Palacios S. Medical treatment of osteoporosis. Climacteric. 2022;25:43-49. doi:10.1080/13697137.2021.1951697
  8. Eastell R, Rosen CJ, Black DM, Cheung AM, Murad MH, Shoback D. Pharmacological management of osteoporosis in postmenopausal women: an Endocrine Society* clinical practice guideline. J Clin Endocrinol Metab. 2019;104:1595-1622. doi:10.1210/jc.2019-00221
  9. Watts NB, Adler RA, Bilezikian JP, et al. Osteoporosis in men: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2012;97:1802-1822. doi:10.1210/jc.2011-3045
  10. Lau MK, Bounthavong M, Kay CL, Harvey MA, Christopher MLD. Clinical dashboard development and use for academic detailing in the U.S. Department of Veterans Affairs. J Am Pharm Assoc (2003). 2019;59(2S):S96-S103.e3. doi:10.1016/j.japh.2018.12.006
  11. Mould DR, D’Haens G, Upton RN. Clinical decision support tools: the evolution of a revolution. Clin Pharmacol Ther. 2016;99:405-418. doi:10.1002/cpt.334
  12. Kizer KW, Fonseca ML, Long LM. The veterans healthcare system: preparing for the twenty-first century. Hosp Health Serv Adm. 1997;42:283-298.
  13. Park A, Gonzalez R, Chartier M, et al. Screening and treating hepatitis c in the VA: achieving excellence using lean and system redesign. Fed Pract. 2018;35:24-29.
  14. Brownell N, Kay C, Parra D, et al. Development and optimization of the Veterans Affairs’ national heart failure dashboard for population health management. J Card Fail. 2024;30:452-459. doi:10.1016/j.cardfail.2023.08.024
  15. Lin LA, Bohnert ASB, Kerns RD, Clay MA, Ganoczy D, Ilgen MA. Impact of the opioid safety initiative on opioidrelated prescribing in veterans. Pain. 2017;158:833-839. doi:10.1097/j.pain.0000000000000837
  16. Twohig PA, Rivington JR, Gunzler D, Daprano J, Margolius D. Clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis. BMC Health Serv Res. 2019;19:475. doi:10.1186/s12913-019-4327-3
  17. Singh I, Fletcher R, Scanlon L, Tyler M, Aithal S. A quality improvement initiative on the management of osteoporosis in older people with Parkinsonism. BMJ Qual Improv Rep. 2016;5:u210921.w5756. doi:10.1136/bmjquality.u210921.w5756
  18. Anastasilakis AD, Makras P, Yavropoulou MP, Tabacco G, Naciu AM, Palermo A. Denosumab discontinuation and the rebound phenomenon: a narrative review. J Clin Med. 2021;10:152. doi:10.3390/jcm10010152
  19. Sharman Moser S, Yu J, Goldshtein I, et al. Cost and consequences of nonadherence with oral bisphosphonate therapy: findings from a real-world data analysis. Ann Pharmacother. 2016;50:262-269. doi:10.1177/1060028015626935
  20. Olsen KR, Hansen C, Abrahamsen B. Association between refill compliance to oral bisphosphonate treatment, incident fractures, and health care costs--an analysis using national health databases. Osteoporos Int. 2013;24:2639-2647. doi:10.1007/s00198-013-2365-y
  21. Blouin J, Dragomir A, Fredette M, Ste-Marie LG, Fernandes JC, Perreault S. Comparison of direct health care costs related to the pharmacological treatment of osteoporosis and to the management of osteoporotic fractures among compliant and noncompliant users of alendronate and risedronate: a population-based study. Osteoporos Int. 2009;20:1571-1581. doi:10.1007/s00198-008-0818-5
  22. Cotté F-E, De Pouvourville G. Cost of non-persistence with oral bisphosphonates in post-menopausal osteoporosis treatment in France. BMC Health Serv Res. 2011;11:151. doi:10.1186/1472-6963-11-151
  23. Cho H, Byun J-H, Song I, et al. Effect of improved medication adherence on health care costs in osteoporosis patients. Medicine (Baltimore). 2018;97:e11470. doi:10.1097/MD.0000000000011470
  24. Li N, Cornelissen D, Silverman S, et al. An updated systematic review of cost-effectiveness analyses of drugs for osteoporosis. Pharmacoeconomics. 2021;39:181-209. doi:10.1007/s40273-020-00965-9
Article PDF
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Danielle H. Tran, MDa; Radhika Narla, MDb,c; Magdalena Wojtowicz, RNc; Patrick Spoutz, PharmD, BCPSd; Katherine D. Wysham, MDb,c

Author affiliations
aUniversity of Washington, Seattle
bUniversity of Washington Medical Center, Seattle
cVA Puget Sound Health Care System, Seattle, Washington
dVeteran Affairs Integrated Service Network 20, Vancouver, Washington

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Katherine Wysham ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0551

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Danielle H. Tran, MDa; Radhika Narla, MDb,c; Magdalena Wojtowicz, RNc; Patrick Spoutz, PharmD, BCPSd; Katherine D. Wysham, MDb,c

Author affiliations
aUniversity of Washington, Seattle
bUniversity of Washington Medical Center, Seattle
cVA Puget Sound Health Care System, Seattle, Washington
dVeteran Affairs Integrated Service Network 20, Vancouver, Washington

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Katherine Wysham ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0551

Author and Disclosure Information

Danielle H. Tran, MDa; Radhika Narla, MDb,c; Magdalena Wojtowicz, RNc; Patrick Spoutz, PharmD, BCPSd; Katherine D. Wysham, MDb,c

Author affiliations
aUniversity of Washington, Seattle
bUniversity of Washington Medical Center, Seattle
cVA Puget Sound Health Care System, Seattle, Washington
dVeteran Affairs Integrated Service Network 20, Vancouver, Washington

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Correspondence: Katherine Wysham ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0551

Article PDF
Article PDF

Osteoporotic fragility fractures constitute a significant public health concern, with 1 in 2 women and 1 in 5 men aged > 50 years sustaining an osteoporotic fracture.1 Osteoporotic fractures are costly and associated with reduced quality of life and impaired survival.2-6 Many interventions including fall mitigation, calcium, vitamin D supplementation, and osteoporosis—specific medications reduce fracture risk.7 New medications for treating osteoporosis, including anabolic therapies, are costly and require clinical oversight to ensure safe delivery. This includes laboratory monitoring, timing of in-clinic dosing and provision of sequence therapy.8,9 COVID-19 introduced numerous barriers to osteoporosis care, raising concerns for medication interruption and patients lost to follow-up, which made monitoring these high risk and costly medications even more important.

The US Department of Veterans Affairs (VA) was an early adopter of using the electronic health record to analyze and implement system-wide processes for population management and quality improvement.10 This enabled the creation of clinical dashboards to display key performance indicator data that support quality improvement and patient care initiatives.11-15 The VA Puget Sound Health Care System (VAPSHCS) has a dedicated osteoporosis clinic focused on preventing and treating veterans at high risk for fracture. Considering the growing utilization of osteoporosis medications, particularly those requiring timed sequential therapy to prevent bone mineral density loss and rebound osteoporotic fractures, close monitoring and follow-up is required. The COVID-19 pandemic made clear the need for proactive osteoporosis management. This article describes the creation and use of an automated clinic dashboard to identify and contact veterans with osteoporosis-related care needs, such as prescription refills, laboratory tests, and clinical visits.

Methods

An automated dashboard was created in partnership with VA pharmacy clinical informatics to display the osteoporosis medication prescription (including last refill), monitoring laboratory test values and most recent osteoporosis clinic visit for each clinic patient. Data from the VA Corporate Data Warehouse were extracted. The resulting tables were used to create a patient cohort with ≥ 1 active medication for alendronate, zoledronic acid, the parathyroid hormone analogues (PTH) teriparatide or abaloparatide, denosumab, or romosozumab. Notably, alendronate was the only oral bisphosphonate prescribed in the clinic. These data were formatted and displayed using Microsoft SQL Server Reporting Services. The secure and encrypted dashboard alerts the clinic staff when prescriptions, appointments, or laboratory tests, such as estimated glomerular filtration rate, 25-hydroxy vitamin D, calcium, and PTH are overdue or out of reference range. The dashboard tracked the most recent clinic visit or dual-energy X-ray absorptiometry (DXA) scan if performed within the VA. Overdue laboratory test alerts for bisphosphonates were flagged if delayed 12 months and 6 months for all other medications.

On March 20, 2021, the VAPSHCS osteoporosis clinic was staffed by 1 endocrinologist, 1 geriatrician, 1 rheumatologist, and 1 registered nurse (RN) coordinator. Overdue or out-of-range alerts were reviewed weekly by the RN coordinator, who addressed alerts. For any overdue laboratory work or prescription refills, the RN coordinator alerted the primary osteoporosis physician via the electronic health record for updated orders. Patients were contacted by phone to schedule a clinic visit, complete ordered laboratory work, or discuss osteoporosis medication refills based on the need identified by the dashboard. A letter was mailed to the patient requesting they contact the osteoporosis clinic for patients who could not be reached by phone after 2 attempts. If 3 attempts (2 phone calls and a letter) were unsuccessful, the osteoporosis physician was alerted so they could either call the patient, alert the primary referring clinician, or discontinue the osteoporosis medication.

Results

As of March 20, 2021, 139 patients were included on the dashboard. Ninety-two patients (66%) had unmet care needs and 29% were female. Ages ranged from 40 to 100 years (Table). The dashboard alerted the team to 3 patients lost to follow-up, all of whom had transferred to care outside the clinic. Twenty-three patients (17%) had overdue medications, including 2 (9%) who had not refilled oral bisphosphonate and 18 (78%) who were overdue for intravenous bisphosphonate treatment. One veteran flagged as overdue for their denosumab injection was unable to receive it due to a significant change in health status. Two veterans were overdue for a PTH analogue refill, 1 of whom had completed their course and transitioned to bisphosphonate.

FDP04202096_T1

The most common alert was 40 patients (29%) with overdue laboratory tests, 37 of which were receiving bisphosphonates. One patient included on the dashboard was taking romosozumab and all their monitoring parameters were up to date, thus their data were not included in the Table to prevent possible identification.

Discussion

A dashboard alerted the osteoporosis clinic team to veterans who were overdue for visits, laboratory work, and prescription renewals. Overall, 92 patients (66%) had unmet care needs identified by the dashboard, all of which were addressed with phone calls and/or letters. Most of the overdue medication refills and laboratory tests were for patients taking bisphosphonates avoiding VAPSHCS during the COVID-19 pandemic. The dashboard enabled the RN coordinator to promptly contact the patient, facilitate coordination of care requirements, and guarantee the safe and efficient delivery of osteoporosis care.

The VA has historically been a leader in the creation of clinical dashboards to support health campaigns.11,12 These dashboards have successfully improved quality metrics towards the treatment of hepatitis C virus, heart failure, and highrisk opioid prescribing.13-15 Data have shown that successful clinical dashboard implementation must be done in conjunction with protected time or staff to support care improvements.16 Additionally, the time required for clinical dashboards can limit their sustainability and feasibility.17 A study aimed at improving osteoporosis care for patients with Parkinson disease found that weekly multidisciplinary review of at-risk patients resulted in all new patients and 91% of follow-up patients receiving evidence- based osteoporosis treatments.17 However, despite the benefits, the intervention required significant time and resources. In contrast, the osteoporosis dashboard implemented at VAPSHCS was not time or resource intensive, requiring about 1 hour per week for the RN coordinator to review the dashboard and coordinate patient care needs.

Limitations

This study setting is unique from other health care organizations or VA health care systems. Implementation of a similar dashboard in other clinical settings where patients receive medical care in multiple health care systems may differ. The VA dedicates resources to support veteran population health management, which may not be available in other health care systems.11,12 These issues may pose a barrier to implementing a similar osteoporosis dashboard in non-VA facilities. In addition, it is significant that while the dashboard can be reconfigured and adapted to track veterans across different VA facilities, certain complexities arise if essential data, such as laboratory tests and DXA imaging, are conducted outside of VA facilities. In such cases, manual entry of this information into the dashboard would be necessary. Because the dashboard was quickly developed during the COVID-19 pandemic, this study lacked preimplementation data on laboratory testing, medication refills, and DXA imaging, which would have enabled a comparison of adherence before and after dashboard implementation. Finally, we acknowledge the delay in publishing these findings; however, we believe sharing innovative approaches to providing care for high-risk populations is essential, as demonstrated during the COVID-19 pandemic.

Conclusions

An osteoporosis clinic dashboard served as a valuable clinical support tool to ensure safe and effective osteoporosis medication delivery at VAPSHCS. Considering the growing utilization of osteoporosis medications, this dashboard plays a vital role in facilitating care coordination for patients receiving these high-risk treatments.18 Use of the dashboard supported the effective use of high-cost osteoporosis medications and is likely to improve clinical osteoporosis outcomes.

Despite the known fracture risk reduction, osteoporosis medication adherence is low.19,20 Maintaining consistent pharmacotherapy for osteoporosis is essential not only for fracture prevention but also reducing health care costs related to osteoporosis and preserving patient independence and functionality.21-24 While initially developed in response to the COVID-19 pandemic, the dashboard remains useful. The VAPSHCS osteoporosis clinic is now staffed by 2 physicians (endocrine and rheumatology) and the dashboard is still in use. The RN coordinator spends about 15 minutes per week using the dashboard and managing the 67 veterans on osteoporosis therapy. This dashboard represents a sustainable clinical tool with the capacity to minimize osteoporosis care gaps and improve outcomes.

Osteoporotic fragility fractures constitute a significant public health concern, with 1 in 2 women and 1 in 5 men aged > 50 years sustaining an osteoporotic fracture.1 Osteoporotic fractures are costly and associated with reduced quality of life and impaired survival.2-6 Many interventions including fall mitigation, calcium, vitamin D supplementation, and osteoporosis—specific medications reduce fracture risk.7 New medications for treating osteoporosis, including anabolic therapies, are costly and require clinical oversight to ensure safe delivery. This includes laboratory monitoring, timing of in-clinic dosing and provision of sequence therapy.8,9 COVID-19 introduced numerous barriers to osteoporosis care, raising concerns for medication interruption and patients lost to follow-up, which made monitoring these high risk and costly medications even more important.

The US Department of Veterans Affairs (VA) was an early adopter of using the electronic health record to analyze and implement system-wide processes for population management and quality improvement.10 This enabled the creation of clinical dashboards to display key performance indicator data that support quality improvement and patient care initiatives.11-15 The VA Puget Sound Health Care System (VAPSHCS) has a dedicated osteoporosis clinic focused on preventing and treating veterans at high risk for fracture. Considering the growing utilization of osteoporosis medications, particularly those requiring timed sequential therapy to prevent bone mineral density loss and rebound osteoporotic fractures, close monitoring and follow-up is required. The COVID-19 pandemic made clear the need for proactive osteoporosis management. This article describes the creation and use of an automated clinic dashboard to identify and contact veterans with osteoporosis-related care needs, such as prescription refills, laboratory tests, and clinical visits.

Methods

An automated dashboard was created in partnership with VA pharmacy clinical informatics to display the osteoporosis medication prescription (including last refill), monitoring laboratory test values and most recent osteoporosis clinic visit for each clinic patient. Data from the VA Corporate Data Warehouse were extracted. The resulting tables were used to create a patient cohort with ≥ 1 active medication for alendronate, zoledronic acid, the parathyroid hormone analogues (PTH) teriparatide or abaloparatide, denosumab, or romosozumab. Notably, alendronate was the only oral bisphosphonate prescribed in the clinic. These data were formatted and displayed using Microsoft SQL Server Reporting Services. The secure and encrypted dashboard alerts the clinic staff when prescriptions, appointments, or laboratory tests, such as estimated glomerular filtration rate, 25-hydroxy vitamin D, calcium, and PTH are overdue or out of reference range. The dashboard tracked the most recent clinic visit or dual-energy X-ray absorptiometry (DXA) scan if performed within the VA. Overdue laboratory test alerts for bisphosphonates were flagged if delayed 12 months and 6 months for all other medications.

On March 20, 2021, the VAPSHCS osteoporosis clinic was staffed by 1 endocrinologist, 1 geriatrician, 1 rheumatologist, and 1 registered nurse (RN) coordinator. Overdue or out-of-range alerts were reviewed weekly by the RN coordinator, who addressed alerts. For any overdue laboratory work or prescription refills, the RN coordinator alerted the primary osteoporosis physician via the electronic health record for updated orders. Patients were contacted by phone to schedule a clinic visit, complete ordered laboratory work, or discuss osteoporosis medication refills based on the need identified by the dashboard. A letter was mailed to the patient requesting they contact the osteoporosis clinic for patients who could not be reached by phone after 2 attempts. If 3 attempts (2 phone calls and a letter) were unsuccessful, the osteoporosis physician was alerted so they could either call the patient, alert the primary referring clinician, or discontinue the osteoporosis medication.

Results

As of March 20, 2021, 139 patients were included on the dashboard. Ninety-two patients (66%) had unmet care needs and 29% were female. Ages ranged from 40 to 100 years (Table). The dashboard alerted the team to 3 patients lost to follow-up, all of whom had transferred to care outside the clinic. Twenty-three patients (17%) had overdue medications, including 2 (9%) who had not refilled oral bisphosphonate and 18 (78%) who were overdue for intravenous bisphosphonate treatment. One veteran flagged as overdue for their denosumab injection was unable to receive it due to a significant change in health status. Two veterans were overdue for a PTH analogue refill, 1 of whom had completed their course and transitioned to bisphosphonate.

FDP04202096_T1

The most common alert was 40 patients (29%) with overdue laboratory tests, 37 of which were receiving bisphosphonates. One patient included on the dashboard was taking romosozumab and all their monitoring parameters were up to date, thus their data were not included in the Table to prevent possible identification.

Discussion

A dashboard alerted the osteoporosis clinic team to veterans who were overdue for visits, laboratory work, and prescription renewals. Overall, 92 patients (66%) had unmet care needs identified by the dashboard, all of which were addressed with phone calls and/or letters. Most of the overdue medication refills and laboratory tests were for patients taking bisphosphonates avoiding VAPSHCS during the COVID-19 pandemic. The dashboard enabled the RN coordinator to promptly contact the patient, facilitate coordination of care requirements, and guarantee the safe and efficient delivery of osteoporosis care.

The VA has historically been a leader in the creation of clinical dashboards to support health campaigns.11,12 These dashboards have successfully improved quality metrics towards the treatment of hepatitis C virus, heart failure, and highrisk opioid prescribing.13-15 Data have shown that successful clinical dashboard implementation must be done in conjunction with protected time or staff to support care improvements.16 Additionally, the time required for clinical dashboards can limit their sustainability and feasibility.17 A study aimed at improving osteoporosis care for patients with Parkinson disease found that weekly multidisciplinary review of at-risk patients resulted in all new patients and 91% of follow-up patients receiving evidence- based osteoporosis treatments.17 However, despite the benefits, the intervention required significant time and resources. In contrast, the osteoporosis dashboard implemented at VAPSHCS was not time or resource intensive, requiring about 1 hour per week for the RN coordinator to review the dashboard and coordinate patient care needs.

Limitations

This study setting is unique from other health care organizations or VA health care systems. Implementation of a similar dashboard in other clinical settings where patients receive medical care in multiple health care systems may differ. The VA dedicates resources to support veteran population health management, which may not be available in other health care systems.11,12 These issues may pose a barrier to implementing a similar osteoporosis dashboard in non-VA facilities. In addition, it is significant that while the dashboard can be reconfigured and adapted to track veterans across different VA facilities, certain complexities arise if essential data, such as laboratory tests and DXA imaging, are conducted outside of VA facilities. In such cases, manual entry of this information into the dashboard would be necessary. Because the dashboard was quickly developed during the COVID-19 pandemic, this study lacked preimplementation data on laboratory testing, medication refills, and DXA imaging, which would have enabled a comparison of adherence before and after dashboard implementation. Finally, we acknowledge the delay in publishing these findings; however, we believe sharing innovative approaches to providing care for high-risk populations is essential, as demonstrated during the COVID-19 pandemic.

Conclusions

An osteoporosis clinic dashboard served as a valuable clinical support tool to ensure safe and effective osteoporosis medication delivery at VAPSHCS. Considering the growing utilization of osteoporosis medications, this dashboard plays a vital role in facilitating care coordination for patients receiving these high-risk treatments.18 Use of the dashboard supported the effective use of high-cost osteoporosis medications and is likely to improve clinical osteoporosis outcomes.

Despite the known fracture risk reduction, osteoporosis medication adherence is low.19,20 Maintaining consistent pharmacotherapy for osteoporosis is essential not only for fracture prevention but also reducing health care costs related to osteoporosis and preserving patient independence and functionality.21-24 While initially developed in response to the COVID-19 pandemic, the dashboard remains useful. The VAPSHCS osteoporosis clinic is now staffed by 2 physicians (endocrine and rheumatology) and the dashboard is still in use. The RN coordinator spends about 15 minutes per week using the dashboard and managing the 67 veterans on osteoporosis therapy. This dashboard represents a sustainable clinical tool with the capacity to minimize osteoporosis care gaps and improve outcomes.

References
  1. Johnell O, Kanis J. Epidemiology of osteoporotic fractures. Osteoporos Int. 2005;16(suppl 2):S3-S7. doi:10.1007/s00198-004-1702-6
  2. van Staa TP, Dennison EM, Leufkens HG, Cooper C. Epidemiology of fractures in England and Wales. Bone. 2001;29:517-522. doi:10.1016/s8756-3282(01)00614-7
  3. Dennison E, Cooper C. Epidemiology of osteoporotic fractures. Horm Res. 2000;54(suppl 1):58-63. doi:10.1159/000063449
  4. Cooper C. Epidemiology and public health impact of osteoporosis. Baillieres Clin Rheumatol. 1993;7:459-477. doi:10.1016/s0950-3579(05)80073-1
  5. Dolan P, Torgerson DJ. The cost of treating osteoporotic fractures in the United Kingdom female population. Osteoporos Int. 1998;8:611-617. doi:10.1007/s001980050107
  6. Burge R, Dawson-Hughes B, Solomon DH, Wong JB, King A, Tosteson A. Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025. J Bone Miner Res. 2007;22:465-475. doi:10.1359/jbmr.061113
  7. Palacios S. Medical treatment of osteoporosis. Climacteric. 2022;25:43-49. doi:10.1080/13697137.2021.1951697
  8. Eastell R, Rosen CJ, Black DM, Cheung AM, Murad MH, Shoback D. Pharmacological management of osteoporosis in postmenopausal women: an Endocrine Society* clinical practice guideline. J Clin Endocrinol Metab. 2019;104:1595-1622. doi:10.1210/jc.2019-00221
  9. Watts NB, Adler RA, Bilezikian JP, et al. Osteoporosis in men: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2012;97:1802-1822. doi:10.1210/jc.2011-3045
  10. Lau MK, Bounthavong M, Kay CL, Harvey MA, Christopher MLD. Clinical dashboard development and use for academic detailing in the U.S. Department of Veterans Affairs. J Am Pharm Assoc (2003). 2019;59(2S):S96-S103.e3. doi:10.1016/j.japh.2018.12.006
  11. Mould DR, D’Haens G, Upton RN. Clinical decision support tools: the evolution of a revolution. Clin Pharmacol Ther. 2016;99:405-418. doi:10.1002/cpt.334
  12. Kizer KW, Fonseca ML, Long LM. The veterans healthcare system: preparing for the twenty-first century. Hosp Health Serv Adm. 1997;42:283-298.
  13. Park A, Gonzalez R, Chartier M, et al. Screening and treating hepatitis c in the VA: achieving excellence using lean and system redesign. Fed Pract. 2018;35:24-29.
  14. Brownell N, Kay C, Parra D, et al. Development and optimization of the Veterans Affairs’ national heart failure dashboard for population health management. J Card Fail. 2024;30:452-459. doi:10.1016/j.cardfail.2023.08.024
  15. Lin LA, Bohnert ASB, Kerns RD, Clay MA, Ganoczy D, Ilgen MA. Impact of the opioid safety initiative on opioidrelated prescribing in veterans. Pain. 2017;158:833-839. doi:10.1097/j.pain.0000000000000837
  16. Twohig PA, Rivington JR, Gunzler D, Daprano J, Margolius D. Clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis. BMC Health Serv Res. 2019;19:475. doi:10.1186/s12913-019-4327-3
  17. Singh I, Fletcher R, Scanlon L, Tyler M, Aithal S. A quality improvement initiative on the management of osteoporosis in older people with Parkinsonism. BMJ Qual Improv Rep. 2016;5:u210921.w5756. doi:10.1136/bmjquality.u210921.w5756
  18. Anastasilakis AD, Makras P, Yavropoulou MP, Tabacco G, Naciu AM, Palermo A. Denosumab discontinuation and the rebound phenomenon: a narrative review. J Clin Med. 2021;10:152. doi:10.3390/jcm10010152
  19. Sharman Moser S, Yu J, Goldshtein I, et al. Cost and consequences of nonadherence with oral bisphosphonate therapy: findings from a real-world data analysis. Ann Pharmacother. 2016;50:262-269. doi:10.1177/1060028015626935
  20. Olsen KR, Hansen C, Abrahamsen B. Association between refill compliance to oral bisphosphonate treatment, incident fractures, and health care costs--an analysis using national health databases. Osteoporos Int. 2013;24:2639-2647. doi:10.1007/s00198-013-2365-y
  21. Blouin J, Dragomir A, Fredette M, Ste-Marie LG, Fernandes JC, Perreault S. Comparison of direct health care costs related to the pharmacological treatment of osteoporosis and to the management of osteoporotic fractures among compliant and noncompliant users of alendronate and risedronate: a population-based study. Osteoporos Int. 2009;20:1571-1581. doi:10.1007/s00198-008-0818-5
  22. Cotté F-E, De Pouvourville G. Cost of non-persistence with oral bisphosphonates in post-menopausal osteoporosis treatment in France. BMC Health Serv Res. 2011;11:151. doi:10.1186/1472-6963-11-151
  23. Cho H, Byun J-H, Song I, et al. Effect of improved medication adherence on health care costs in osteoporosis patients. Medicine (Baltimore). 2018;97:e11470. doi:10.1097/MD.0000000000011470
  24. Li N, Cornelissen D, Silverman S, et al. An updated systematic review of cost-effectiveness analyses of drugs for osteoporosis. Pharmacoeconomics. 2021;39:181-209. doi:10.1007/s40273-020-00965-9
References
  1. Johnell O, Kanis J. Epidemiology of osteoporotic fractures. Osteoporos Int. 2005;16(suppl 2):S3-S7. doi:10.1007/s00198-004-1702-6
  2. van Staa TP, Dennison EM, Leufkens HG, Cooper C. Epidemiology of fractures in England and Wales. Bone. 2001;29:517-522. doi:10.1016/s8756-3282(01)00614-7
  3. Dennison E, Cooper C. Epidemiology of osteoporotic fractures. Horm Res. 2000;54(suppl 1):58-63. doi:10.1159/000063449
  4. Cooper C. Epidemiology and public health impact of osteoporosis. Baillieres Clin Rheumatol. 1993;7:459-477. doi:10.1016/s0950-3579(05)80073-1
  5. Dolan P, Torgerson DJ. The cost of treating osteoporotic fractures in the United Kingdom female population. Osteoporos Int. 1998;8:611-617. doi:10.1007/s001980050107
  6. Burge R, Dawson-Hughes B, Solomon DH, Wong JB, King A, Tosteson A. Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025. J Bone Miner Res. 2007;22:465-475. doi:10.1359/jbmr.061113
  7. Palacios S. Medical treatment of osteoporosis. Climacteric. 2022;25:43-49. doi:10.1080/13697137.2021.1951697
  8. Eastell R, Rosen CJ, Black DM, Cheung AM, Murad MH, Shoback D. Pharmacological management of osteoporosis in postmenopausal women: an Endocrine Society* clinical practice guideline. J Clin Endocrinol Metab. 2019;104:1595-1622. doi:10.1210/jc.2019-00221
  9. Watts NB, Adler RA, Bilezikian JP, et al. Osteoporosis in men: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2012;97:1802-1822. doi:10.1210/jc.2011-3045
  10. Lau MK, Bounthavong M, Kay CL, Harvey MA, Christopher MLD. Clinical dashboard development and use for academic detailing in the U.S. Department of Veterans Affairs. J Am Pharm Assoc (2003). 2019;59(2S):S96-S103.e3. doi:10.1016/j.japh.2018.12.006
  11. Mould DR, D’Haens G, Upton RN. Clinical decision support tools: the evolution of a revolution. Clin Pharmacol Ther. 2016;99:405-418. doi:10.1002/cpt.334
  12. Kizer KW, Fonseca ML, Long LM. The veterans healthcare system: preparing for the twenty-first century. Hosp Health Serv Adm. 1997;42:283-298.
  13. Park A, Gonzalez R, Chartier M, et al. Screening and treating hepatitis c in the VA: achieving excellence using lean and system redesign. Fed Pract. 2018;35:24-29.
  14. Brownell N, Kay C, Parra D, et al. Development and optimization of the Veterans Affairs’ national heart failure dashboard for population health management. J Card Fail. 2024;30:452-459. doi:10.1016/j.cardfail.2023.08.024
  15. Lin LA, Bohnert ASB, Kerns RD, Clay MA, Ganoczy D, Ilgen MA. Impact of the opioid safety initiative on opioidrelated prescribing in veterans. Pain. 2017;158:833-839. doi:10.1097/j.pain.0000000000000837
  16. Twohig PA, Rivington JR, Gunzler D, Daprano J, Margolius D. Clinician dashboard views and improvement in preventative health outcome measures: a retrospective analysis. BMC Health Serv Res. 2019;19:475. doi:10.1186/s12913-019-4327-3
  17. Singh I, Fletcher R, Scanlon L, Tyler M, Aithal S. A quality improvement initiative on the management of osteoporosis in older people with Parkinsonism. BMJ Qual Improv Rep. 2016;5:u210921.w5756. doi:10.1136/bmjquality.u210921.w5756
  18. Anastasilakis AD, Makras P, Yavropoulou MP, Tabacco G, Naciu AM, Palermo A. Denosumab discontinuation and the rebound phenomenon: a narrative review. J Clin Med. 2021;10:152. doi:10.3390/jcm10010152
  19. Sharman Moser S, Yu J, Goldshtein I, et al. Cost and consequences of nonadherence with oral bisphosphonate therapy: findings from a real-world data analysis. Ann Pharmacother. 2016;50:262-269. doi:10.1177/1060028015626935
  20. Olsen KR, Hansen C, Abrahamsen B. Association between refill compliance to oral bisphosphonate treatment, incident fractures, and health care costs--an analysis using national health databases. Osteoporos Int. 2013;24:2639-2647. doi:10.1007/s00198-013-2365-y
  21. Blouin J, Dragomir A, Fredette M, Ste-Marie LG, Fernandes JC, Perreault S. Comparison of direct health care costs related to the pharmacological treatment of osteoporosis and to the management of osteoporotic fractures among compliant and noncompliant users of alendronate and risedronate: a population-based study. Osteoporos Int. 2009;20:1571-1581. doi:10.1007/s00198-008-0818-5
  22. Cotté F-E, De Pouvourville G. Cost of non-persistence with oral bisphosphonates in post-menopausal osteoporosis treatment in France. BMC Health Serv Res. 2011;11:151. doi:10.1186/1472-6963-11-151
  23. Cho H, Byun J-H, Song I, et al. Effect of improved medication adherence on health care costs in osteoporosis patients. Medicine (Baltimore). 2018;97:e11470. doi:10.1097/MD.0000000000011470
  24. Li N, Cornelissen D, Silverman S, et al. An updated systematic review of cost-effectiveness analyses of drugs for osteoporosis. Pharmacoeconomics. 2021;39:181-209. doi:10.1007/s40273-020-00965-9
Issue
Federal Practitioner - 42(2)
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Federal Practitioner - 42(2)
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96-99
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Improving High-Risk Osteoporosis Medication Adherence and Safety With an Automated Dashboard

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Improving High-Risk Osteoporosis Medication Adherence and Safety With an Automated Dashboard

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