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Federal Health Care Data Trends 2022: Cardiovascular Diseases
- Howard JT, Stewart IJ, Kolaja CA, et al. Hypertension in military veterans is associated with combat exposure and combat injury. J Hypertens. 2020;38(7):1293-1301. http://doi.org/10.1097/HJH.0000000000002364
- Centers for Disease Control and Prevention (CDC). A closer look at African American men and high blood pressure control. Reviewed November 2, 2020. Accessed March 23, 2022. https://www.cdc.gov/bloodpressure/aa_sourcebook.htm
- CDC. National Health and Nutrition Examination Survey. What to expect and information collected. Reviewed November 16, 2021. Accessed March 23, 2022. https://www.cdc.gov/nchs/nhanes/participant/information-collected.htm
- Keaton JM, Hellwege JN, Giri A, et al. Associations of biogeographic ancestry with hypertension traits. J Hypertens. 2021;39(4):633-642. http://doi.org/10.1097/HJH.0000000000002701
- Groeneveld PW, Medvedeva EL, Walker L, Segal AG, Richardson DM, Epstein AJ. Outcomes of care for ischemic heart disease and chronic heart failure in the Veterans Health Administration. JAMA Cardiol. 2018;3(7):563-571. http://doi.org/10.1001/jamacardio.2018.1115
- Cho ME, Hansen JL, Sauer BC, Cheung AK, Agarwal A, Greene T. Heart failure hospitalization risk associated with iron status in veterans with CKD. Clin J Am Soc Nephrol. 2021;16(4):522-531. http://doi.org/10.2215/CJN.15360920
- Jackevicius CA, Lu L, Ghaznavi Z, Warner AL. Bleeding risk of direct oral anticoagulants in patients with heart failure and atrial fibrillation. Circ Cardiovasc Qual Outcomes. 2021;14(2):e007230. http://doi.org/10.1161/CIRCOUTCOMES.120.007230
- Keithler AN, Wilson AS, Yuan A, Sosa JM, Bush KNV. Characteristics of United States military pilots with atrial fibrillation and deployment and retention rates. BMJ Mil Health. 2021;0:1-5. http://doi.org/10.1136/bmjmilitary-2020-001665
- Rouch L, Xia F, Bahorik A, Olgin J, Yaffe K. Atrial fibrillation is associated with greater risk of dementia in older veterans. J Geriatr Psychiatry. 2021;29(11):1092-1098. http://doi.org/10.1016/j.jagp.2021.02.038
- Shrauner W, Lord EM, Nguyen XMT, et al. Frailty and cardiovascular mortality in more than 3 million US veterans. Eur Heart J. 2022;43(8):818-826. http://doi.org/10.1093/eurheartj/ehab850
- Howard JT, Stewart IJ, Kolaja CA, et al. Hypertension in military veterans is associated with combat exposure and combat injury. J Hypertens. 2020;38(7):1293-1301. http://doi.org/10.1097/HJH.0000000000002364
- Centers for Disease Control and Prevention (CDC). A closer look at African American men and high blood pressure control. Reviewed November 2, 2020. Accessed March 23, 2022. https://www.cdc.gov/bloodpressure/aa_sourcebook.htm
- CDC. National Health and Nutrition Examination Survey. What to expect and information collected. Reviewed November 16, 2021. Accessed March 23, 2022. https://www.cdc.gov/nchs/nhanes/participant/information-collected.htm
- Keaton JM, Hellwege JN, Giri A, et al. Associations of biogeographic ancestry with hypertension traits. J Hypertens. 2021;39(4):633-642. http://doi.org/10.1097/HJH.0000000000002701
- Groeneveld PW, Medvedeva EL, Walker L, Segal AG, Richardson DM, Epstein AJ. Outcomes of care for ischemic heart disease and chronic heart failure in the Veterans Health Administration. JAMA Cardiol. 2018;3(7):563-571. http://doi.org/10.1001/jamacardio.2018.1115
- Cho ME, Hansen JL, Sauer BC, Cheung AK, Agarwal A, Greene T. Heart failure hospitalization risk associated with iron status in veterans with CKD. Clin J Am Soc Nephrol. 2021;16(4):522-531. http://doi.org/10.2215/CJN.15360920
- Jackevicius CA, Lu L, Ghaznavi Z, Warner AL. Bleeding risk of direct oral anticoagulants in patients with heart failure and atrial fibrillation. Circ Cardiovasc Qual Outcomes. 2021;14(2):e007230. http://doi.org/10.1161/CIRCOUTCOMES.120.007230
- Keithler AN, Wilson AS, Yuan A, Sosa JM, Bush KNV. Characteristics of United States military pilots with atrial fibrillation and deployment and retention rates. BMJ Mil Health. 2021;0:1-5. http://doi.org/10.1136/bmjmilitary-2020-001665
- Rouch L, Xia F, Bahorik A, Olgin J, Yaffe K. Atrial fibrillation is associated with greater risk of dementia in older veterans. J Geriatr Psychiatry. 2021;29(11):1092-1098. http://doi.org/10.1016/j.jagp.2021.02.038
- Shrauner W, Lord EM, Nguyen XMT, et al. Frailty and cardiovascular mortality in more than 3 million US veterans. Eur Heart J. 2022;43(8):818-826. http://doi.org/10.1093/eurheartj/ehab850
- Howard JT, Stewart IJ, Kolaja CA, et al. Hypertension in military veterans is associated with combat exposure and combat injury. J Hypertens. 2020;38(7):1293-1301. http://doi.org/10.1097/HJH.0000000000002364
- Centers for Disease Control and Prevention (CDC). A closer look at African American men and high blood pressure control. Reviewed November 2, 2020. Accessed March 23, 2022. https://www.cdc.gov/bloodpressure/aa_sourcebook.htm
- CDC. National Health and Nutrition Examination Survey. What to expect and information collected. Reviewed November 16, 2021. Accessed March 23, 2022. https://www.cdc.gov/nchs/nhanes/participant/information-collected.htm
- Keaton JM, Hellwege JN, Giri A, et al. Associations of biogeographic ancestry with hypertension traits. J Hypertens. 2021;39(4):633-642. http://doi.org/10.1097/HJH.0000000000002701
- Groeneveld PW, Medvedeva EL, Walker L, Segal AG, Richardson DM, Epstein AJ. Outcomes of care for ischemic heart disease and chronic heart failure in the Veterans Health Administration. JAMA Cardiol. 2018;3(7):563-571. http://doi.org/10.1001/jamacardio.2018.1115
- Cho ME, Hansen JL, Sauer BC, Cheung AK, Agarwal A, Greene T. Heart failure hospitalization risk associated with iron status in veterans with CKD. Clin J Am Soc Nephrol. 2021;16(4):522-531. http://doi.org/10.2215/CJN.15360920
- Jackevicius CA, Lu L, Ghaznavi Z, Warner AL. Bleeding risk of direct oral anticoagulants in patients with heart failure and atrial fibrillation. Circ Cardiovasc Qual Outcomes. 2021;14(2):e007230. http://doi.org/10.1161/CIRCOUTCOMES.120.007230
- Keithler AN, Wilson AS, Yuan A, Sosa JM, Bush KNV. Characteristics of United States military pilots with atrial fibrillation and deployment and retention rates. BMJ Mil Health. 2021;0:1-5. http://doi.org/10.1136/bmjmilitary-2020-001665
- Rouch L, Xia F, Bahorik A, Olgin J, Yaffe K. Atrial fibrillation is associated with greater risk of dementia in older veterans. J Geriatr Psychiatry. 2021;29(11):1092-1098. http://doi.org/10.1016/j.jagp.2021.02.038
- Shrauner W, Lord EM, Nguyen XMT, et al. Frailty and cardiovascular mortality in more than 3 million US veterans. Eur Heart J. 2022;43(8):818-826. http://doi.org/10.1093/eurheartj/ehab850
Federal Health Care Data Trends 2022: Chronic Kidney Disease
- Kidney disease in veterans. US Department of Veterans Affairs. Updated May 13, 2020. Accessed March 4, 2022. https://www.va.gov/HEALTHEQUITY/Kidney_Disease_In_Veterans.asp
- Ozieh MN, Gebregziabher M, Ward RC, Taber DJ, Egede LE. Creating a 13-year National Longitudinal Cohort of veterans with chronic kidney disease. BMC Nephrol. 2019;20:241. http://doi.org/10.1186/s12882-019-1430-y
- Patel N, Golzy M, Nainani N, et al. Prevalence of various comorbidities among veterans with chronic kidney disease and its comparison with other datasets. Ren Fail. 2016;38(2):204-208. http://doi.org/10.3109/0886022X.2015.1117924
- Kidney disease in veterans. US Department of Veterans Affairs. Updated May 13, 2020. Accessed March 4, 2022. https://www.va.gov/HEALTHEQUITY/Kidney_Disease_In_Veterans.asp
- Ozieh MN, Gebregziabher M, Ward RC, Taber DJ, Egede LE. Creating a 13-year National Longitudinal Cohort of veterans with chronic kidney disease. BMC Nephrol. 2019;20:241. http://doi.org/10.1186/s12882-019-1430-y
- Patel N, Golzy M, Nainani N, et al. Prevalence of various comorbidities among veterans with chronic kidney disease and its comparison with other datasets. Ren Fail. 2016;38(2):204-208. http://doi.org/10.3109/0886022X.2015.1117924
- Kidney disease in veterans. US Department of Veterans Affairs. Updated May 13, 2020. Accessed March 4, 2022. https://www.va.gov/HEALTHEQUITY/Kidney_Disease_In_Veterans.asp
- Ozieh MN, Gebregziabher M, Ward RC, Taber DJ, Egede LE. Creating a 13-year National Longitudinal Cohort of veterans with chronic kidney disease. BMC Nephrol. 2019;20:241. http://doi.org/10.1186/s12882-019-1430-y
- Patel N, Golzy M, Nainani N, et al. Prevalence of various comorbidities among veterans with chronic kidney disease and its comparison with other datasets. Ren Fail. 2016;38(2):204-208. http://doi.org/10.3109/0886022X.2015.1117924
Federal Health Care Data Trends 2022: The Cancer-Obesity Connection
- VA/DoD clinical practice guideline for the management of adult overweight and obesity. Department of Veterans Affairs and Department of Defense. Version 3.0. 2020. Accessed March 23, 2022. https://www.healthquality.va.gov/guidelines/CD/obesity/VADoDObesityCPGFinal5087242020.pdf
- Obesity and overweight. Centers for Disease Control and Prevention. Updated September 10, 2021. Accessed March 18, 2022. https://www.cdc.gov/nchs/fastats/obesity-overweight.htm
- Obesity and cancer. Centers for Disease Control and Prevention. Updated February 18, 2021. Accessed March 23, 2022. https://www.cdc.gov/cancer/obesity/index.htm
- Nelson KM. The burden of obesity among a national probability sample of veterans. J Gen Intern Med. 2006;21(9):915-919. http://doi.org/10.1111/j.1525-1497.2006.00526.x
- Schult TM, Schmunk SK, Marzolf JR, Mohr DC. The health status of veteran employees compared to civilian employees in Veterans Health Administration. Mil Med. 2019;184(7-8):e218-e224. http://doi.org/10.1093/milmed/usy410
- Weir HK, Thompson TD, Stewart SL, White MC. Cancer incidence projections in the United States between 2015 and 2050. Prev Chronic Dis. 2021;18:E59. http://doi.org/10.5888/pcd18.210006
- Johnson KE, Siewert KM, Klarin D, et al. The relationship between circulating lipids and breast cancer risk: a Mendelian randomization study. PLoS Med. 2020;17(9):e1003302. http://doi.org/10.1371/journal.pmed.100330
- MOVE! weight management program. US Department of Veterans Affairs. Updated May 2, 2022. Accessed May 23, 2022. https://www.move.va.gov/
- Gray KE, Hoerster KD, Spohr SA, Breland JY, Raffa SD. National Veterans Health Administration MOVE! weight management program participation during the COVID-19 pandemic. Prev Chronic Dis. 2022;19:E11. http://dx.doi.org/10.5888/pcd19.210303
- VA Office of Patient Centered Care & Cultural Transformation (email, May 27, 2022).
- Maciejewski ML, Shepherd-Banigan M, Raffa SD, Weidenbacher HJ. Systematic review of behavioral weight management program MOVE! for veterans. Am J Prev Med. 2018;54(5):704-714. http://doi.org/10.1016/j.amepre.2018.01.029
- VA/DoD clinical practice guideline for the management of adult overweight and obesity. Department of Veterans Affairs and Department of Defense. Version 3.0. 2020. Accessed March 23, 2022. https://www.healthquality.va.gov/guidelines/CD/obesity/VADoDObesityCPGFinal5087242020.pdf
- Obesity and overweight. Centers for Disease Control and Prevention. Updated September 10, 2021. Accessed March 18, 2022. https://www.cdc.gov/nchs/fastats/obesity-overweight.htm
- Obesity and cancer. Centers for Disease Control and Prevention. Updated February 18, 2021. Accessed March 23, 2022. https://www.cdc.gov/cancer/obesity/index.htm
- Nelson KM. The burden of obesity among a national probability sample of veterans. J Gen Intern Med. 2006;21(9):915-919. http://doi.org/10.1111/j.1525-1497.2006.00526.x
- Schult TM, Schmunk SK, Marzolf JR, Mohr DC. The health status of veteran employees compared to civilian employees in Veterans Health Administration. Mil Med. 2019;184(7-8):e218-e224. http://doi.org/10.1093/milmed/usy410
- Weir HK, Thompson TD, Stewart SL, White MC. Cancer incidence projections in the United States between 2015 and 2050. Prev Chronic Dis. 2021;18:E59. http://doi.org/10.5888/pcd18.210006
- Johnson KE, Siewert KM, Klarin D, et al. The relationship between circulating lipids and breast cancer risk: a Mendelian randomization study. PLoS Med. 2020;17(9):e1003302. http://doi.org/10.1371/journal.pmed.100330
- MOVE! weight management program. US Department of Veterans Affairs. Updated May 2, 2022. Accessed May 23, 2022. https://www.move.va.gov/
- Gray KE, Hoerster KD, Spohr SA, Breland JY, Raffa SD. National Veterans Health Administration MOVE! weight management program participation during the COVID-19 pandemic. Prev Chronic Dis. 2022;19:E11. http://dx.doi.org/10.5888/pcd19.210303
- VA Office of Patient Centered Care & Cultural Transformation (email, May 27, 2022).
- Maciejewski ML, Shepherd-Banigan M, Raffa SD, Weidenbacher HJ. Systematic review of behavioral weight management program MOVE! for veterans. Am J Prev Med. 2018;54(5):704-714. http://doi.org/10.1016/j.amepre.2018.01.029
- VA/DoD clinical practice guideline for the management of adult overweight and obesity. Department of Veterans Affairs and Department of Defense. Version 3.0. 2020. Accessed March 23, 2022. https://www.healthquality.va.gov/guidelines/CD/obesity/VADoDObesityCPGFinal5087242020.pdf
- Obesity and overweight. Centers for Disease Control and Prevention. Updated September 10, 2021. Accessed March 18, 2022. https://www.cdc.gov/nchs/fastats/obesity-overweight.htm
- Obesity and cancer. Centers for Disease Control and Prevention. Updated February 18, 2021. Accessed March 23, 2022. https://www.cdc.gov/cancer/obesity/index.htm
- Nelson KM. The burden of obesity among a national probability sample of veterans. J Gen Intern Med. 2006;21(9):915-919. http://doi.org/10.1111/j.1525-1497.2006.00526.x
- Schult TM, Schmunk SK, Marzolf JR, Mohr DC. The health status of veteran employees compared to civilian employees in Veterans Health Administration. Mil Med. 2019;184(7-8):e218-e224. http://doi.org/10.1093/milmed/usy410
- Weir HK, Thompson TD, Stewart SL, White MC. Cancer incidence projections in the United States between 2015 and 2050. Prev Chronic Dis. 2021;18:E59. http://doi.org/10.5888/pcd18.210006
- Johnson KE, Siewert KM, Klarin D, et al. The relationship between circulating lipids and breast cancer risk: a Mendelian randomization study. PLoS Med. 2020;17(9):e1003302. http://doi.org/10.1371/journal.pmed.100330
- MOVE! weight management program. US Department of Veterans Affairs. Updated May 2, 2022. Accessed May 23, 2022. https://www.move.va.gov/
- Gray KE, Hoerster KD, Spohr SA, Breland JY, Raffa SD. National Veterans Health Administration MOVE! weight management program participation during the COVID-19 pandemic. Prev Chronic Dis. 2022;19:E11. http://dx.doi.org/10.5888/pcd19.210303
- VA Office of Patient Centered Care & Cultural Transformation (email, May 27, 2022).
- Maciejewski ML, Shepherd-Banigan M, Raffa SD, Weidenbacher HJ. Systematic review of behavioral weight management program MOVE! for veterans. Am J Prev Med. 2018;54(5):704-714. http://doi.org/10.1016/j.amepre.2018.01.029
Federal Health Care Data Trends 2022: Rheumatologic Diseases
- Arthritis help for veterans. Centers for Disease Control and Prevention. Updated November 10, 2020. Accessed March 20, 2022. https://www.cdc.gov/arthritis/communications/features/arthritis-among-veterans.html
- 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(10):2974-2982. http://doi.org/10.1002/art.30498
- Ebel AV, Lutt G, Poole JA, et al. Association of agricultural, occupational, and military inhalants with autoantibodies and disease features in US veterans with rheumatoid arthritis. Arthritis Rheumatol. 2021;73(3):392-400. http://doi.org/10.1002/art.41559
- Lee S, Xie L, Wang Y, Vaidya N, Baser O. Comorbidity and economic burden among moderate-to-severe psoriasis and/or psoriatic arthritis patients in the US Department of Defense population. J Med Econ. 2018;21(6):564-570. http://doi.org/10.1080/13696998.2018.1431921
- Fish L, Scharre P. The soldier’s heavy load. Center for a New American Security. Published September 26, 2018. Accessed April 27, 2022. https://www.cnas.org/publications/reports/the-soldiers-heavy-load-1
- Shrauner W, Lord EM, Nguyen XMT, et al. Frailty and cardiovascular mortality in more than 3 million US veterans. Eur Heart J. 2022;43(8):818-826. http://doi.org/10.1093/eurheartj/ehab850
- Tyrer J. Military service leads to post-traumatic osteoarthritis. Published April 2021. Accessed March 25, 2022. https://www.arthritis.org/diseases/more-about/military-service-leads-to-post-traumatic-osteoarth
- Cameron KL, Shing TL, Kardouni JR. The incidence of post-traumatic osteoarthritis in the knee in active duty military personnel compared to estimates in the general population. Presented at the Osteoarthritis Research Society International World Congress on Osteoarthritis, April 27-30, 2017, Las Vegas, NV.
- Rivera JD, Wenke JC, Buckwalter JA, Ficke JR, Johnson AE. Posttraumatic osteoarthritis caused by battlefield injuries: The primary source of disability in warriors. J Am Acad Orthop Surg. 2012;20(01):S64-S69. http://doi.org/10.5435/JAAOS-20-08-S64
- 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(S1): S23-S30. http://doi.org/10.5435/JAAOS-20-08-S23
- Related conditions of psoriasis. National Psoriasis Foundation. Updated October 8, 2020. Accessed March 25, 2022. https://www.psoriasis.org/related-conditions/
- Arthritis help for veterans. Centers for Disease Control and Prevention. Updated November 10, 2020. Accessed March 20, 2022. https://www.cdc.gov/arthritis/communications/features/arthritis-among-veterans.html
- 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(10):2974-2982. http://doi.org/10.1002/art.30498
- Ebel AV, Lutt G, Poole JA, et al. Association of agricultural, occupational, and military inhalants with autoantibodies and disease features in US veterans with rheumatoid arthritis. Arthritis Rheumatol. 2021;73(3):392-400. http://doi.org/10.1002/art.41559
- Lee S, Xie L, Wang Y, Vaidya N, Baser O. Comorbidity and economic burden among moderate-to-severe psoriasis and/or psoriatic arthritis patients in the US Department of Defense population. J Med Econ. 2018;21(6):564-570. http://doi.org/10.1080/13696998.2018.1431921
- Fish L, Scharre P. The soldier’s heavy load. Center for a New American Security. Published September 26, 2018. Accessed April 27, 2022. https://www.cnas.org/publications/reports/the-soldiers-heavy-load-1
- Shrauner W, Lord EM, Nguyen XMT, et al. Frailty and cardiovascular mortality in more than 3 million US veterans. Eur Heart J. 2022;43(8):818-826. http://doi.org/10.1093/eurheartj/ehab850
- Tyrer J. Military service leads to post-traumatic osteoarthritis. Published April 2021. Accessed March 25, 2022. https://www.arthritis.org/diseases/more-about/military-service-leads-to-post-traumatic-osteoarth
- Cameron KL, Shing TL, Kardouni JR. The incidence of post-traumatic osteoarthritis in the knee in active duty military personnel compared to estimates in the general population. Presented at the Osteoarthritis Research Society International World Congress on Osteoarthritis, April 27-30, 2017, Las Vegas, NV.
- Rivera JD, Wenke JC, Buckwalter JA, Ficke JR, Johnson AE. Posttraumatic osteoarthritis caused by battlefield injuries: The primary source of disability in warriors. J Am Acad Orthop Surg. 2012;20(01):S64-S69. http://doi.org/10.5435/JAAOS-20-08-S64
- 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(S1): S23-S30. http://doi.org/10.5435/JAAOS-20-08-S23
- Related conditions of psoriasis. National Psoriasis Foundation. Updated October 8, 2020. Accessed March 25, 2022. https://www.psoriasis.org/related-conditions/
- Arthritis help for veterans. Centers for Disease Control and Prevention. Updated November 10, 2020. Accessed March 20, 2022. https://www.cdc.gov/arthritis/communications/features/arthritis-among-veterans.html
- 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(10):2974-2982. http://doi.org/10.1002/art.30498
- Ebel AV, Lutt G, Poole JA, et al. Association of agricultural, occupational, and military inhalants with autoantibodies and disease features in US veterans with rheumatoid arthritis. Arthritis Rheumatol. 2021;73(3):392-400. http://doi.org/10.1002/art.41559
- Lee S, Xie L, Wang Y, Vaidya N, Baser O. Comorbidity and economic burden among moderate-to-severe psoriasis and/or psoriatic arthritis patients in the US Department of Defense population. J Med Econ. 2018;21(6):564-570. http://doi.org/10.1080/13696998.2018.1431921
- Fish L, Scharre P. The soldier’s heavy load. Center for a New American Security. Published September 26, 2018. Accessed April 27, 2022. https://www.cnas.org/publications/reports/the-soldiers-heavy-load-1
- Shrauner W, Lord EM, Nguyen XMT, et al. Frailty and cardiovascular mortality in more than 3 million US veterans. Eur Heart J. 2022;43(8):818-826. http://doi.org/10.1093/eurheartj/ehab850
- Tyrer J. Military service leads to post-traumatic osteoarthritis. Published April 2021. Accessed March 25, 2022. https://www.arthritis.org/diseases/more-about/military-service-leads-to-post-traumatic-osteoarth
- Cameron KL, Shing TL, Kardouni JR. The incidence of post-traumatic osteoarthritis in the knee in active duty military personnel compared to estimates in the general population. Presented at the Osteoarthritis Research Society International World Congress on Osteoarthritis, April 27-30, 2017, Las Vegas, NV.
- Rivera JD, Wenke JC, Buckwalter JA, Ficke JR, Johnson AE. Posttraumatic osteoarthritis caused by battlefield injuries: The primary source of disability in warriors. J Am Acad Orthop Surg. 2012;20(01):S64-S69. http://doi.org/10.5435/JAAOS-20-08-S64
- 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(S1): S23-S30. http://doi.org/10.5435/JAAOS-20-08-S23
- Related conditions of psoriasis. National Psoriasis Foundation. Updated October 8, 2020. Accessed March 25, 2022. https://www.psoriasis.org/related-conditions/
Value of a Pharmacy-Adjudicated Community Care Prior Authorization Drug Request Service
Veterans’ access to medical care was expanded outside of US Department of Veterans Affairs (VA) facilities with the inception of the 2014 Veterans Access, Choice, and Accountability Act (Choice Act).1 This legislation aimed to remove barriers some veterans were experiencing, specifically access to health care. In subsequent years, approximately 17% of veterans receiving care from the VA did so under the Choice Act.2 The Choice Act positively impacted medical care access for veterans but presented new challenges for VA pharmacies processing community care (CC) prescriptions, including limited access to outside health records, lack of interface between CC prescribers and the VA order entry system, and limited awareness of the VA national formulary.3,4 These factors made it difficult for VA pharmacies to assess prescriptions for clinical appropriateness, evaluate patient safety parameters, and manage expenditures.
In 2019, the Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act, which expanded CC support and better defined which veterans are able to receive care outside the VA, updated the Choice Act.4,5 However, VA pharmacies faced challenges in managing pharmacy drug costs and ensuring clinical appropriateness of prescription drug therapy. As a result, VA pharmacy departments have adjusted how they allocate workload, time, and funds.5
Pharmacists improve clinical outcomes and reduce health care costs by decreasing medication errors, unnecessary prescribing, and adverse drug events.6-12 Pharmacist-driven formulary management through evaluation of prior authorization drug requests (PADRs) has shown economic value.13,14 VA pharmacy review of community care PADRs is important because outside health care professionals (HCPs) might not be familiar with the VA formulary. This could lead to high volume of PADRs that do not meet criteria and could result in increased potential for medication misuse, adverse drug events, medication errors, and cost to the health system. It is imperative that CC orders are evaluated as critically as traditional orders.
The value of a centralized CC pharmacy team has not been assessed in the literature. The primary objective of this study was to assess the direct cost savings achieved through a centralized CC PADR process. Secondary objectives were to characterize the CC PADRs submitted to the site, including approval rate, reason for nonapproval, which medications were requested and by whom, and to compare CC prescriptions with other high-complexity (1a) VA facilities.
Community Care Pharmacy
VA health systems are stratified according to complexity, which reflects size, patient population, and services offered. This study was conducted at the Durham Veterans Affairs Health Care System (DVAHCS), North Carolina, a high-complexity, 251-bed, tertiary care referral, teaching, and research system. DVAHCS provides general and specialty medical, surgical, inpatient psychiatric, and ambulatory services, and serves as a major referral center.
DVAHCS created a centralized pharmacy team for processing CC prescriptions and managing customer service. This team’s goal is to increase CC prescription processing efficiency and transparency, ensure accountability of the health care team, and promote veteran-centric customer service. The pharmacy team includes a pharmacist program manager and a dedicated CC pharmacist with administrative support from a health benefits assistant and 4 pharmacy technicians. The CC pharmacy team assesses every new prescription to ensure the veteran is authorized to receive care in the community. Once eligibility is verified, a pharmacy technician or pharmacist evaluates the prescription to ensure it contains all required information, then contacts the prescriber for any missing data. If clinically appropriate, the pharmacist processes the prescription.
In 2020, the CC pharmacy team implemented a new process for reviewing and documenting CC prescriptions that require a PADR. The closed national VA formulary is set up so that all nonformulary medications and some formulary medications, including those that are restricted because of safety and/or cost, require a PADR.15 After a CC pharmacy technician confirms a veteran’s eligibility, the technician assesses whether the requested medication requires submitting a PADR to the VA internal electronic health record. The PADR is then adjudicated by a formulary management pharmacist, CC program manager, or CC pharmacist who reviews health records to determine whether the CC prescription meets VA medication use policy requirements.
If additional information is needed or an alternate medication is suggested, the pharmacist comments back on the PADR and a CC pharmacy technician contacts the prescriber. The PADR is canceled administratively then resubmitted once all information is obtained. While waiting for a response from the prescriber, the CC pharmacy technician contacts that veteran to give an update on the prescription status, as appropriate. Once there is sufficient information to adjudicate the PADR, the outcome is documented, and if approved, the order is processed.
Methods
The DVAHCS Institutional Review Board approved this retrospective review of CC PADRs submitted from June 1, 2020, through November 30, 2020. CC PADRs were excluded if they were duplicates or were reactivated administratively but had an initial submission date before the study period. Local data were collected for nonapproved CC PADRs including drug requested, dosage and directions, medication specialty, alternative drug recommended, drug acquisition cost, PADR submission date, PADR completion date, PADR nonapproval rationale, and documented time spent per PADR. Additional data was obtained for CC prescriptions at all 42 high-complexity VA facilities from the VA national CC prescription database for the study time interval and included total PADRs, PADR approval status, total CC prescription cost, and total CC fills.
Direct cost savings were calculated by assessing the cost of requested therapy that was not approved minus the cost of recommended therapy and cost to review all PADRs, as described by Britt and colleagues.13 The cost of the requested and recommended therapy was calculated based on VA drug acquisition cost at time of data collection and multiplied by the expected duration of therapy up to 1 year. For each CC prescription, duration of therapy was based on the duration limit in the prescription or annualized if no duration limit was documented. Cost of PADR review was calculated based on the total time pharmacists and pharmacy technicians documented for each step of the review process for a representative sample of 100 nonapproved PADRs and then multiplied by the salary plus benefits of an entry-level pharmacist and pharmacy technician.16 The eAppendix describes specific equations used for determining direct cost savings. Descriptive statistics were used to evaluate study results.
Results
During the 6-month study period, 611 CC PADRs were submitted to the pharmacy and 526 met inclusion criteria (Figure 1). Of those, 243 (46.2%) were approved and 283 (53.8%) were not approved. The cost of requested therapies for nonapproved CC PADRs totaled $584,565.48 and the cost of all recommended therapies was $57,473.59. The mean time per CC PADR was 24 minutes; 16 minutes for pharmacists and 8 minutes for pharmacy technicians. Given an hourly wage (plus benefits) of $67.25 for a pharmacist and $25.53 for a pharmacy technician, the total cost of review per CC PADR was $21.33. After subtracting the costs of all recommended therapies and review of all included CC PADRs, the process generated $515,872.31 in direct cost savings. After factoring in administrative lag time, such as HCP communication, an average of 8 calendar days was needed to complete a nonapproved PADR.
The most common rationale for PADR nonapproval was that the formulary alternative was not exhausted. Ondansetron orally disintegrating tablets was the most commonly nonapproved medication and azelastine was the most commonly approved medication. Dulaglutide was the most expensive nonapproved and tafamidis was the most expensive approved PADR (Table 1). Gastroenterology, endocrinology, and neurology were the top specialties for nonapproved PADRs while neurology, pulmonology, and endocrinology were the top specialties for approved PADRs (Table 2).
Several high-complexity VA facilities had no reported data; we used the median for the analysis to account for these outliers (Figure 2). The median (IQR) adjudicated CC PADRs for all facilities was 97 (20-175), median (IQR) CC PADR approval rate was 80.9% (63.7%-96.8%), median (IQR) total CC prescriptions was 8440 (2464-14,466), and median (IQR) cost per fill was $136.05 ($76.27-$221.28).
Discussion
This study demonstrated direct cost savings of $515,872.31 over 6 months with theadjudication of CC PADRs by a centralized CC pharmacy team. This could result in > $1,000,000 of cost savings per fiscal year.
The CC PADRs observed at DVAHCS had a 46.2% approval rate; almost one-half the approval rate of 84.1% of all PADRs submitted to the study site by VA HCPs captured by Britt and colleagues.13 Results from this study showed that coordination of care for nonapproved CC PADRs between the VA pharmacy and non-VA prescriber took an average of 8 calendar days. The noted CC PADR approval rate and administrative burden might be because of lack of familiarity of non-VA providers regarding the VA national formulary. The National VA Pharmacy Benefits Management determines the formulary using cost-effectiveness criteria that considers the medical literature and VA-specific contract pricing and prepares extensive guidance for restricted medications via relevant criteria for use.15 HCPs outside the VA might not know this information is available online. Because gastroenterology, endocrinology, and neurology specialty medications were among the most frequently nonapproved PADRs, VA formulary education could begin with CC HCPs in these practice areas.
This study showed that the CC PADR process was not solely driven by cost, but also included patient safety. Nonapproval rationale for some requests included submission without an indication, submission by a prescriber that did not have the authority to prescribe a type of medication, or contraindication based on patient-specific factors.
Compared with other VA high-complexity facilities, DVAHCS was among the top health care systems for total volume of CC prescriptions (n = 16,096) and among the lowest for cost/fill ($75.74). Similarly, DVAHCS was among the top sites for total adjudicated CC PADRs within the 6-month study period (n = 611) and the lowest approval rate (44.2%). This study shows that despite high volumes of overall CC prescriptions and CC PADRs, it is possible to maintain a low overall CC prescription cost/fill compared with other similarly complex sites across the country. Wide variance in reported results exists across high-complexity VA facilities because some sites had low to no CC fills and/or CC PADRs. This is likely a result of administrative differences when handling CC prescriptions and presents an opportunity to standardize this process nationally.
Limitations
CC PADRs were assessed during the COVID-19 pandemic, which might have resulted in lower-than-normal CC prescription and PADR volumes, therefore underestimating the potential for direct cost savings. Entry-level salary was used to demonstrate cost savings potential from the perspective of a newly hired CC team; however, the cost savings might have been less if the actual salaries of site personnel were higher. National contract pricing data were gathered at the time of data collection and might have been different than at the time of PADR submission. Chronic medication prescriptions were annualized, which could overestimate cost savings if the medication was discontinued or changed to an alternative therapy within that time period.
The study’s exclusion criteria could only be applied locally and did not include data received from the VA CC prescription database. This can be seen by the discrepancy in CC PADR approval rates from the local and national data (46.2% vs 44.2%, respectively) and CC PADR volume. High-complexity VA facility data were captured without assessing the CC prescription process at each site. As a result, definitive conclusions cannot be made regarding the impact of a centralized CC pharmacy team compared with other facilities.
Conclusions
Adjudication of CC PADRs by a centralized CC pharmacy team over a 6-month period provided > $500,000 in direct cost savings to a VA health care system. Considering the CC PADR approval rate seen in this study, the VA could allocate resources to educate CC providers about the VA formulary to increase the PADR approval rate and reduce administrative burden for VA pharmacies and prescribers. Future research should evaluate CC prescription handling practices at other VA facilities to compare the effectiveness among varying approaches and develop recommendations for a nationally standardized process.
Acknowledgments
Concept and design (AJJ, JNB, RBB, LAM, MD, MGH); acquisition of data (AJJ, MGH); analysis and interpretation of data (AJJ, JNB, RBB, LAM, MD, MGH); drafting of the manuscript (AJJ); critical revision of the manuscript for important intellectual content (AJJ, JNB, RBB, LAM, MD, MGH); statistical analysis (AJJ); administrative, technical, or logistic support (LAM, MGH); and supervision (MGH).
1. Gellad WF, Cunningham FE, Good CB, et al. Pharmacy use in the first year of the Veterans Choice Program: a mixed-methods evaluation. Med Care. 2017(7 suppl 1);55:S26. doi:10.1097/MLR.0000000000000661
2. Mattocks KM, Yehia B. Evaluating the veterans choice program: lessons for developing a high-performing integrated network. Med Care. 2017(7 suppl 1);55:S1-S3. doi:10.1097/MLR.0000000000000743.
3. Mattocks KM, Mengeling M, Sadler A, Baldor R, Bastian L. The Veterans Choice Act: a qualitative examination of rapid policy implementation in the Department of Veterans Affairs. Med Care. 2017;55(7 suppl 1):S71-S75. doi:10.1097/MLR.0000000000000667
4. US Department of Veterans Affairs, Veterans Health Administration. VHA Directive 1108.08: VHA formulary management process. November 2, 2016. Accessed June 9, 2022. https://www.va.gov/vhapublications/ViewPublication.asp?pub_ID=3291
5. Massarweh NN, Itani KMF, Morris MS. The VA MISSION act and the future of veterans’ access to quality health care. JAMA. 2020;324:343-344. doi:10.1001/jama.2020.4505
6. Jourdan JP, Muzard A, Goyer I, et al. Impact of pharmacist interventions on clinical outcome and cost avoidance in a university teaching hospital. Int J Clin Pharm. 2018;40(6):1474-1481. doi:10.1007/s11096-018-0733-6
7. Lee AJ, Boro MS, Knapp KK, Meier JL, Korman NE. Clinical and economic outcomes of pharmacist recommendations in a Veterans Affairs medical center. Am J Health Syst Pharm. 2002;59(21):2070-2077. doi:10.1093/ajhp/59.21.2070
8. Dalton K, Byrne S. Role of the pharmacist in reducing healthcare costs: current insights. Integr Pharm Res Pract. 2017;6:37-46. doi:10.2147/IPRP.S108047
9. De Rijdt T, Willems L, Simoens S. Economic effects of clinical pharmacy interventions: a literature review. Am J Health Syst Pharm. 2008;65(12):1161-1172. doi:10.2146/ajhp070506
10. Perez A, Doloresco F, Hoffman J, et al. Economic evaluation of clinical pharmacy services: 2001-2005. Pharmacotherapy. 2009;29(1):128. doi:10.1592/phco.29.1.128
11. Nesbit TW, Shermock KM, Bobek MB, et al. Implementation and pharmacoeconomic analysis of a clinical staff pharmacist practice model. Am J Health Syst Pharm. 2001;58(9):784-790. doi:10.1093/ajhp/58.9.784
12. Yang S, Britt RB, Hashem MG, Brown JN. Outcomes of pharmacy-led hepatitis C direct-acting antiviral utilization management at a Veterans Affairs medical center. J Manag Care Pharm. 2017;23(3):364-369. doi:10.18553/jmcp.2017.23.3.364
13. Britt RB, Hashem MG, Bryan WE III, Kothapalli R, Brown JN. Economic outcomes associated with a pharmacist-adjudicated formulary consult service in a Veterans Affairs medical center. J Manag Care Pharm. 2016;22(9):1051-1061. doi:10.18553/jmcp.2016.22.9.1051
14. Jacob S, Britt RB, Bryan WE, Hashem MG, Hale JC, Brown JN. Economic outcomes associated with safety interventions by a pharmacist-adjudicated prior authorization consult service. J Manag Care Pharm. 2019;25(3):411-416. doi:10.18553/jmcp.2019.25.3.411
15. Aspinall SL, Sales MM, Good CB, et al. Pharmacy benefits management in the Veterans Health Administration revisited: a decade of advancements, 2004-2014. J Manag Care Spec Pharm. 2016;22(9):1058-1063. doi:10.18553/jmcp.2016.22.9.1058
16. US Department of Veterans Affairs, Office of the Chief Human Capital Officer. Title 38 Pay Schedules. Updated January 26, 2022. Accessed June 9, 2022. https://www.va.gov/ohrm/pay
Veterans’ access to medical care was expanded outside of US Department of Veterans Affairs (VA) facilities with the inception of the 2014 Veterans Access, Choice, and Accountability Act (Choice Act).1 This legislation aimed to remove barriers some veterans were experiencing, specifically access to health care. In subsequent years, approximately 17% of veterans receiving care from the VA did so under the Choice Act.2 The Choice Act positively impacted medical care access for veterans but presented new challenges for VA pharmacies processing community care (CC) prescriptions, including limited access to outside health records, lack of interface between CC prescribers and the VA order entry system, and limited awareness of the VA national formulary.3,4 These factors made it difficult for VA pharmacies to assess prescriptions for clinical appropriateness, evaluate patient safety parameters, and manage expenditures.
In 2019, the Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act, which expanded CC support and better defined which veterans are able to receive care outside the VA, updated the Choice Act.4,5 However, VA pharmacies faced challenges in managing pharmacy drug costs and ensuring clinical appropriateness of prescription drug therapy. As a result, VA pharmacy departments have adjusted how they allocate workload, time, and funds.5
Pharmacists improve clinical outcomes and reduce health care costs by decreasing medication errors, unnecessary prescribing, and adverse drug events.6-12 Pharmacist-driven formulary management through evaluation of prior authorization drug requests (PADRs) has shown economic value.13,14 VA pharmacy review of community care PADRs is important because outside health care professionals (HCPs) might not be familiar with the VA formulary. This could lead to high volume of PADRs that do not meet criteria and could result in increased potential for medication misuse, adverse drug events, medication errors, and cost to the health system. It is imperative that CC orders are evaluated as critically as traditional orders.
The value of a centralized CC pharmacy team has not been assessed in the literature. The primary objective of this study was to assess the direct cost savings achieved through a centralized CC PADR process. Secondary objectives were to characterize the CC PADRs submitted to the site, including approval rate, reason for nonapproval, which medications were requested and by whom, and to compare CC prescriptions with other high-complexity (1a) VA facilities.
Community Care Pharmacy
VA health systems are stratified according to complexity, which reflects size, patient population, and services offered. This study was conducted at the Durham Veterans Affairs Health Care System (DVAHCS), North Carolina, a high-complexity, 251-bed, tertiary care referral, teaching, and research system. DVAHCS provides general and specialty medical, surgical, inpatient psychiatric, and ambulatory services, and serves as a major referral center.
DVAHCS created a centralized pharmacy team for processing CC prescriptions and managing customer service. This team’s goal is to increase CC prescription processing efficiency and transparency, ensure accountability of the health care team, and promote veteran-centric customer service. The pharmacy team includes a pharmacist program manager and a dedicated CC pharmacist with administrative support from a health benefits assistant and 4 pharmacy technicians. The CC pharmacy team assesses every new prescription to ensure the veteran is authorized to receive care in the community. Once eligibility is verified, a pharmacy technician or pharmacist evaluates the prescription to ensure it contains all required information, then contacts the prescriber for any missing data. If clinically appropriate, the pharmacist processes the prescription.
In 2020, the CC pharmacy team implemented a new process for reviewing and documenting CC prescriptions that require a PADR. The closed national VA formulary is set up so that all nonformulary medications and some formulary medications, including those that are restricted because of safety and/or cost, require a PADR.15 After a CC pharmacy technician confirms a veteran’s eligibility, the technician assesses whether the requested medication requires submitting a PADR to the VA internal electronic health record. The PADR is then adjudicated by a formulary management pharmacist, CC program manager, or CC pharmacist who reviews health records to determine whether the CC prescription meets VA medication use policy requirements.
If additional information is needed or an alternate medication is suggested, the pharmacist comments back on the PADR and a CC pharmacy technician contacts the prescriber. The PADR is canceled administratively then resubmitted once all information is obtained. While waiting for a response from the prescriber, the CC pharmacy technician contacts that veteran to give an update on the prescription status, as appropriate. Once there is sufficient information to adjudicate the PADR, the outcome is documented, and if approved, the order is processed.
Methods
The DVAHCS Institutional Review Board approved this retrospective review of CC PADRs submitted from June 1, 2020, through November 30, 2020. CC PADRs were excluded if they were duplicates or were reactivated administratively but had an initial submission date before the study period. Local data were collected for nonapproved CC PADRs including drug requested, dosage and directions, medication specialty, alternative drug recommended, drug acquisition cost, PADR submission date, PADR completion date, PADR nonapproval rationale, and documented time spent per PADR. Additional data was obtained for CC prescriptions at all 42 high-complexity VA facilities from the VA national CC prescription database for the study time interval and included total PADRs, PADR approval status, total CC prescription cost, and total CC fills.
Direct cost savings were calculated by assessing the cost of requested therapy that was not approved minus the cost of recommended therapy and cost to review all PADRs, as described by Britt and colleagues.13 The cost of the requested and recommended therapy was calculated based on VA drug acquisition cost at time of data collection and multiplied by the expected duration of therapy up to 1 year. For each CC prescription, duration of therapy was based on the duration limit in the prescription or annualized if no duration limit was documented. Cost of PADR review was calculated based on the total time pharmacists and pharmacy technicians documented for each step of the review process for a representative sample of 100 nonapproved PADRs and then multiplied by the salary plus benefits of an entry-level pharmacist and pharmacy technician.16 The eAppendix describes specific equations used for determining direct cost savings. Descriptive statistics were used to evaluate study results.
Results
During the 6-month study period, 611 CC PADRs were submitted to the pharmacy and 526 met inclusion criteria (Figure 1). Of those, 243 (46.2%) were approved and 283 (53.8%) were not approved. The cost of requested therapies for nonapproved CC PADRs totaled $584,565.48 and the cost of all recommended therapies was $57,473.59. The mean time per CC PADR was 24 minutes; 16 minutes for pharmacists and 8 minutes for pharmacy technicians. Given an hourly wage (plus benefits) of $67.25 for a pharmacist and $25.53 for a pharmacy technician, the total cost of review per CC PADR was $21.33. After subtracting the costs of all recommended therapies and review of all included CC PADRs, the process generated $515,872.31 in direct cost savings. After factoring in administrative lag time, such as HCP communication, an average of 8 calendar days was needed to complete a nonapproved PADR.
The most common rationale for PADR nonapproval was that the formulary alternative was not exhausted. Ondansetron orally disintegrating tablets was the most commonly nonapproved medication and azelastine was the most commonly approved medication. Dulaglutide was the most expensive nonapproved and tafamidis was the most expensive approved PADR (Table 1). Gastroenterology, endocrinology, and neurology were the top specialties for nonapproved PADRs while neurology, pulmonology, and endocrinology were the top specialties for approved PADRs (Table 2).
Several high-complexity VA facilities had no reported data; we used the median for the analysis to account for these outliers (Figure 2). The median (IQR) adjudicated CC PADRs for all facilities was 97 (20-175), median (IQR) CC PADR approval rate was 80.9% (63.7%-96.8%), median (IQR) total CC prescriptions was 8440 (2464-14,466), and median (IQR) cost per fill was $136.05 ($76.27-$221.28).
Discussion
This study demonstrated direct cost savings of $515,872.31 over 6 months with theadjudication of CC PADRs by a centralized CC pharmacy team. This could result in > $1,000,000 of cost savings per fiscal year.
The CC PADRs observed at DVAHCS had a 46.2% approval rate; almost one-half the approval rate of 84.1% of all PADRs submitted to the study site by VA HCPs captured by Britt and colleagues.13 Results from this study showed that coordination of care for nonapproved CC PADRs between the VA pharmacy and non-VA prescriber took an average of 8 calendar days. The noted CC PADR approval rate and administrative burden might be because of lack of familiarity of non-VA providers regarding the VA national formulary. The National VA Pharmacy Benefits Management determines the formulary using cost-effectiveness criteria that considers the medical literature and VA-specific contract pricing and prepares extensive guidance for restricted medications via relevant criteria for use.15 HCPs outside the VA might not know this information is available online. Because gastroenterology, endocrinology, and neurology specialty medications were among the most frequently nonapproved PADRs, VA formulary education could begin with CC HCPs in these practice areas.
This study showed that the CC PADR process was not solely driven by cost, but also included patient safety. Nonapproval rationale for some requests included submission without an indication, submission by a prescriber that did not have the authority to prescribe a type of medication, or contraindication based on patient-specific factors.
Compared with other VA high-complexity facilities, DVAHCS was among the top health care systems for total volume of CC prescriptions (n = 16,096) and among the lowest for cost/fill ($75.74). Similarly, DVAHCS was among the top sites for total adjudicated CC PADRs within the 6-month study period (n = 611) and the lowest approval rate (44.2%). This study shows that despite high volumes of overall CC prescriptions and CC PADRs, it is possible to maintain a low overall CC prescription cost/fill compared with other similarly complex sites across the country. Wide variance in reported results exists across high-complexity VA facilities because some sites had low to no CC fills and/or CC PADRs. This is likely a result of administrative differences when handling CC prescriptions and presents an opportunity to standardize this process nationally.
Limitations
CC PADRs were assessed during the COVID-19 pandemic, which might have resulted in lower-than-normal CC prescription and PADR volumes, therefore underestimating the potential for direct cost savings. Entry-level salary was used to demonstrate cost savings potential from the perspective of a newly hired CC team; however, the cost savings might have been less if the actual salaries of site personnel were higher. National contract pricing data were gathered at the time of data collection and might have been different than at the time of PADR submission. Chronic medication prescriptions were annualized, which could overestimate cost savings if the medication was discontinued or changed to an alternative therapy within that time period.
The study’s exclusion criteria could only be applied locally and did not include data received from the VA CC prescription database. This can be seen by the discrepancy in CC PADR approval rates from the local and national data (46.2% vs 44.2%, respectively) and CC PADR volume. High-complexity VA facility data were captured without assessing the CC prescription process at each site. As a result, definitive conclusions cannot be made regarding the impact of a centralized CC pharmacy team compared with other facilities.
Conclusions
Adjudication of CC PADRs by a centralized CC pharmacy team over a 6-month period provided > $500,000 in direct cost savings to a VA health care system. Considering the CC PADR approval rate seen in this study, the VA could allocate resources to educate CC providers about the VA formulary to increase the PADR approval rate and reduce administrative burden for VA pharmacies and prescribers. Future research should evaluate CC prescription handling practices at other VA facilities to compare the effectiveness among varying approaches and develop recommendations for a nationally standardized process.
Acknowledgments
Concept and design (AJJ, JNB, RBB, LAM, MD, MGH); acquisition of data (AJJ, MGH); analysis and interpretation of data (AJJ, JNB, RBB, LAM, MD, MGH); drafting of the manuscript (AJJ); critical revision of the manuscript for important intellectual content (AJJ, JNB, RBB, LAM, MD, MGH); statistical analysis (AJJ); administrative, technical, or logistic support (LAM, MGH); and supervision (MGH).
Veterans’ access to medical care was expanded outside of US Department of Veterans Affairs (VA) facilities with the inception of the 2014 Veterans Access, Choice, and Accountability Act (Choice Act).1 This legislation aimed to remove barriers some veterans were experiencing, specifically access to health care. In subsequent years, approximately 17% of veterans receiving care from the VA did so under the Choice Act.2 The Choice Act positively impacted medical care access for veterans but presented new challenges for VA pharmacies processing community care (CC) prescriptions, including limited access to outside health records, lack of interface between CC prescribers and the VA order entry system, and limited awareness of the VA national formulary.3,4 These factors made it difficult for VA pharmacies to assess prescriptions for clinical appropriateness, evaluate patient safety parameters, and manage expenditures.
In 2019, the Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act, which expanded CC support and better defined which veterans are able to receive care outside the VA, updated the Choice Act.4,5 However, VA pharmacies faced challenges in managing pharmacy drug costs and ensuring clinical appropriateness of prescription drug therapy. As a result, VA pharmacy departments have adjusted how they allocate workload, time, and funds.5
Pharmacists improve clinical outcomes and reduce health care costs by decreasing medication errors, unnecessary prescribing, and adverse drug events.6-12 Pharmacist-driven formulary management through evaluation of prior authorization drug requests (PADRs) has shown economic value.13,14 VA pharmacy review of community care PADRs is important because outside health care professionals (HCPs) might not be familiar with the VA formulary. This could lead to high volume of PADRs that do not meet criteria and could result in increased potential for medication misuse, adverse drug events, medication errors, and cost to the health system. It is imperative that CC orders are evaluated as critically as traditional orders.
The value of a centralized CC pharmacy team has not been assessed in the literature. The primary objective of this study was to assess the direct cost savings achieved through a centralized CC PADR process. Secondary objectives were to characterize the CC PADRs submitted to the site, including approval rate, reason for nonapproval, which medications were requested and by whom, and to compare CC prescriptions with other high-complexity (1a) VA facilities.
Community Care Pharmacy
VA health systems are stratified according to complexity, which reflects size, patient population, and services offered. This study was conducted at the Durham Veterans Affairs Health Care System (DVAHCS), North Carolina, a high-complexity, 251-bed, tertiary care referral, teaching, and research system. DVAHCS provides general and specialty medical, surgical, inpatient psychiatric, and ambulatory services, and serves as a major referral center.
DVAHCS created a centralized pharmacy team for processing CC prescriptions and managing customer service. This team’s goal is to increase CC prescription processing efficiency and transparency, ensure accountability of the health care team, and promote veteran-centric customer service. The pharmacy team includes a pharmacist program manager and a dedicated CC pharmacist with administrative support from a health benefits assistant and 4 pharmacy technicians. The CC pharmacy team assesses every new prescription to ensure the veteran is authorized to receive care in the community. Once eligibility is verified, a pharmacy technician or pharmacist evaluates the prescription to ensure it contains all required information, then contacts the prescriber for any missing data. If clinically appropriate, the pharmacist processes the prescription.
In 2020, the CC pharmacy team implemented a new process for reviewing and documenting CC prescriptions that require a PADR. The closed national VA formulary is set up so that all nonformulary medications and some formulary medications, including those that are restricted because of safety and/or cost, require a PADR.15 After a CC pharmacy technician confirms a veteran’s eligibility, the technician assesses whether the requested medication requires submitting a PADR to the VA internal electronic health record. The PADR is then adjudicated by a formulary management pharmacist, CC program manager, or CC pharmacist who reviews health records to determine whether the CC prescription meets VA medication use policy requirements.
If additional information is needed or an alternate medication is suggested, the pharmacist comments back on the PADR and a CC pharmacy technician contacts the prescriber. The PADR is canceled administratively then resubmitted once all information is obtained. While waiting for a response from the prescriber, the CC pharmacy technician contacts that veteran to give an update on the prescription status, as appropriate. Once there is sufficient information to adjudicate the PADR, the outcome is documented, and if approved, the order is processed.
Methods
The DVAHCS Institutional Review Board approved this retrospective review of CC PADRs submitted from June 1, 2020, through November 30, 2020. CC PADRs were excluded if they were duplicates or were reactivated administratively but had an initial submission date before the study period. Local data were collected for nonapproved CC PADRs including drug requested, dosage and directions, medication specialty, alternative drug recommended, drug acquisition cost, PADR submission date, PADR completion date, PADR nonapproval rationale, and documented time spent per PADR. Additional data was obtained for CC prescriptions at all 42 high-complexity VA facilities from the VA national CC prescription database for the study time interval and included total PADRs, PADR approval status, total CC prescription cost, and total CC fills.
Direct cost savings were calculated by assessing the cost of requested therapy that was not approved minus the cost of recommended therapy and cost to review all PADRs, as described by Britt and colleagues.13 The cost of the requested and recommended therapy was calculated based on VA drug acquisition cost at time of data collection and multiplied by the expected duration of therapy up to 1 year. For each CC prescription, duration of therapy was based on the duration limit in the prescription or annualized if no duration limit was documented. Cost of PADR review was calculated based on the total time pharmacists and pharmacy technicians documented for each step of the review process for a representative sample of 100 nonapproved PADRs and then multiplied by the salary plus benefits of an entry-level pharmacist and pharmacy technician.16 The eAppendix describes specific equations used for determining direct cost savings. Descriptive statistics were used to evaluate study results.
Results
During the 6-month study period, 611 CC PADRs were submitted to the pharmacy and 526 met inclusion criteria (Figure 1). Of those, 243 (46.2%) were approved and 283 (53.8%) were not approved. The cost of requested therapies for nonapproved CC PADRs totaled $584,565.48 and the cost of all recommended therapies was $57,473.59. The mean time per CC PADR was 24 minutes; 16 minutes for pharmacists and 8 minutes for pharmacy technicians. Given an hourly wage (plus benefits) of $67.25 for a pharmacist and $25.53 for a pharmacy technician, the total cost of review per CC PADR was $21.33. After subtracting the costs of all recommended therapies and review of all included CC PADRs, the process generated $515,872.31 in direct cost savings. After factoring in administrative lag time, such as HCP communication, an average of 8 calendar days was needed to complete a nonapproved PADR.
The most common rationale for PADR nonapproval was that the formulary alternative was not exhausted. Ondansetron orally disintegrating tablets was the most commonly nonapproved medication and azelastine was the most commonly approved medication. Dulaglutide was the most expensive nonapproved and tafamidis was the most expensive approved PADR (Table 1). Gastroenterology, endocrinology, and neurology were the top specialties for nonapproved PADRs while neurology, pulmonology, and endocrinology were the top specialties for approved PADRs (Table 2).
Several high-complexity VA facilities had no reported data; we used the median for the analysis to account for these outliers (Figure 2). The median (IQR) adjudicated CC PADRs for all facilities was 97 (20-175), median (IQR) CC PADR approval rate was 80.9% (63.7%-96.8%), median (IQR) total CC prescriptions was 8440 (2464-14,466), and median (IQR) cost per fill was $136.05 ($76.27-$221.28).
Discussion
This study demonstrated direct cost savings of $515,872.31 over 6 months with theadjudication of CC PADRs by a centralized CC pharmacy team. This could result in > $1,000,000 of cost savings per fiscal year.
The CC PADRs observed at DVAHCS had a 46.2% approval rate; almost one-half the approval rate of 84.1% of all PADRs submitted to the study site by VA HCPs captured by Britt and colleagues.13 Results from this study showed that coordination of care for nonapproved CC PADRs between the VA pharmacy and non-VA prescriber took an average of 8 calendar days. The noted CC PADR approval rate and administrative burden might be because of lack of familiarity of non-VA providers regarding the VA national formulary. The National VA Pharmacy Benefits Management determines the formulary using cost-effectiveness criteria that considers the medical literature and VA-specific contract pricing and prepares extensive guidance for restricted medications via relevant criteria for use.15 HCPs outside the VA might not know this information is available online. Because gastroenterology, endocrinology, and neurology specialty medications were among the most frequently nonapproved PADRs, VA formulary education could begin with CC HCPs in these practice areas.
This study showed that the CC PADR process was not solely driven by cost, but also included patient safety. Nonapproval rationale for some requests included submission without an indication, submission by a prescriber that did not have the authority to prescribe a type of medication, or contraindication based on patient-specific factors.
Compared with other VA high-complexity facilities, DVAHCS was among the top health care systems for total volume of CC prescriptions (n = 16,096) and among the lowest for cost/fill ($75.74). Similarly, DVAHCS was among the top sites for total adjudicated CC PADRs within the 6-month study period (n = 611) and the lowest approval rate (44.2%). This study shows that despite high volumes of overall CC prescriptions and CC PADRs, it is possible to maintain a low overall CC prescription cost/fill compared with other similarly complex sites across the country. Wide variance in reported results exists across high-complexity VA facilities because some sites had low to no CC fills and/or CC PADRs. This is likely a result of administrative differences when handling CC prescriptions and presents an opportunity to standardize this process nationally.
Limitations
CC PADRs were assessed during the COVID-19 pandemic, which might have resulted in lower-than-normal CC prescription and PADR volumes, therefore underestimating the potential for direct cost savings. Entry-level salary was used to demonstrate cost savings potential from the perspective of a newly hired CC team; however, the cost savings might have been less if the actual salaries of site personnel were higher. National contract pricing data were gathered at the time of data collection and might have been different than at the time of PADR submission. Chronic medication prescriptions were annualized, which could overestimate cost savings if the medication was discontinued or changed to an alternative therapy within that time period.
The study’s exclusion criteria could only be applied locally and did not include data received from the VA CC prescription database. This can be seen by the discrepancy in CC PADR approval rates from the local and national data (46.2% vs 44.2%, respectively) and CC PADR volume. High-complexity VA facility data were captured without assessing the CC prescription process at each site. As a result, definitive conclusions cannot be made regarding the impact of a centralized CC pharmacy team compared with other facilities.
Conclusions
Adjudication of CC PADRs by a centralized CC pharmacy team over a 6-month period provided > $500,000 in direct cost savings to a VA health care system. Considering the CC PADR approval rate seen in this study, the VA could allocate resources to educate CC providers about the VA formulary to increase the PADR approval rate and reduce administrative burden for VA pharmacies and prescribers. Future research should evaluate CC prescription handling practices at other VA facilities to compare the effectiveness among varying approaches and develop recommendations for a nationally standardized process.
Acknowledgments
Concept and design (AJJ, JNB, RBB, LAM, MD, MGH); acquisition of data (AJJ, MGH); analysis and interpretation of data (AJJ, JNB, RBB, LAM, MD, MGH); drafting of the manuscript (AJJ); critical revision of the manuscript for important intellectual content (AJJ, JNB, RBB, LAM, MD, MGH); statistical analysis (AJJ); administrative, technical, or logistic support (LAM, MGH); and supervision (MGH).
1. Gellad WF, Cunningham FE, Good CB, et al. Pharmacy use in the first year of the Veterans Choice Program: a mixed-methods evaluation. Med Care. 2017(7 suppl 1);55:S26. doi:10.1097/MLR.0000000000000661
2. Mattocks KM, Yehia B. Evaluating the veterans choice program: lessons for developing a high-performing integrated network. Med Care. 2017(7 suppl 1);55:S1-S3. doi:10.1097/MLR.0000000000000743.
3. Mattocks KM, Mengeling M, Sadler A, Baldor R, Bastian L. The Veterans Choice Act: a qualitative examination of rapid policy implementation in the Department of Veterans Affairs. Med Care. 2017;55(7 suppl 1):S71-S75. doi:10.1097/MLR.0000000000000667
4. US Department of Veterans Affairs, Veterans Health Administration. VHA Directive 1108.08: VHA formulary management process. November 2, 2016. Accessed June 9, 2022. https://www.va.gov/vhapublications/ViewPublication.asp?pub_ID=3291
5. Massarweh NN, Itani KMF, Morris MS. The VA MISSION act and the future of veterans’ access to quality health care. JAMA. 2020;324:343-344. doi:10.1001/jama.2020.4505
6. Jourdan JP, Muzard A, Goyer I, et al. Impact of pharmacist interventions on clinical outcome and cost avoidance in a university teaching hospital. Int J Clin Pharm. 2018;40(6):1474-1481. doi:10.1007/s11096-018-0733-6
7. Lee AJ, Boro MS, Knapp KK, Meier JL, Korman NE. Clinical and economic outcomes of pharmacist recommendations in a Veterans Affairs medical center. Am J Health Syst Pharm. 2002;59(21):2070-2077. doi:10.1093/ajhp/59.21.2070
8. Dalton K, Byrne S. Role of the pharmacist in reducing healthcare costs: current insights. Integr Pharm Res Pract. 2017;6:37-46. doi:10.2147/IPRP.S108047
9. De Rijdt T, Willems L, Simoens S. Economic effects of clinical pharmacy interventions: a literature review. Am J Health Syst Pharm. 2008;65(12):1161-1172. doi:10.2146/ajhp070506
10. Perez A, Doloresco F, Hoffman J, et al. Economic evaluation of clinical pharmacy services: 2001-2005. Pharmacotherapy. 2009;29(1):128. doi:10.1592/phco.29.1.128
11. Nesbit TW, Shermock KM, Bobek MB, et al. Implementation and pharmacoeconomic analysis of a clinical staff pharmacist practice model. Am J Health Syst Pharm. 2001;58(9):784-790. doi:10.1093/ajhp/58.9.784
12. Yang S, Britt RB, Hashem MG, Brown JN. Outcomes of pharmacy-led hepatitis C direct-acting antiviral utilization management at a Veterans Affairs medical center. J Manag Care Pharm. 2017;23(3):364-369. doi:10.18553/jmcp.2017.23.3.364
13. Britt RB, Hashem MG, Bryan WE III, Kothapalli R, Brown JN. Economic outcomes associated with a pharmacist-adjudicated formulary consult service in a Veterans Affairs medical center. J Manag Care Pharm. 2016;22(9):1051-1061. doi:10.18553/jmcp.2016.22.9.1051
14. Jacob S, Britt RB, Bryan WE, Hashem MG, Hale JC, Brown JN. Economic outcomes associated with safety interventions by a pharmacist-adjudicated prior authorization consult service. J Manag Care Pharm. 2019;25(3):411-416. doi:10.18553/jmcp.2019.25.3.411
15. Aspinall SL, Sales MM, Good CB, et al. Pharmacy benefits management in the Veterans Health Administration revisited: a decade of advancements, 2004-2014. J Manag Care Spec Pharm. 2016;22(9):1058-1063. doi:10.18553/jmcp.2016.22.9.1058
16. US Department of Veterans Affairs, Office of the Chief Human Capital Officer. Title 38 Pay Schedules. Updated January 26, 2022. Accessed June 9, 2022. https://www.va.gov/ohrm/pay
1. Gellad WF, Cunningham FE, Good CB, et al. Pharmacy use in the first year of the Veterans Choice Program: a mixed-methods evaluation. Med Care. 2017(7 suppl 1);55:S26. doi:10.1097/MLR.0000000000000661
2. Mattocks KM, Yehia B. Evaluating the veterans choice program: lessons for developing a high-performing integrated network. Med Care. 2017(7 suppl 1);55:S1-S3. doi:10.1097/MLR.0000000000000743.
3. Mattocks KM, Mengeling M, Sadler A, Baldor R, Bastian L. The Veterans Choice Act: a qualitative examination of rapid policy implementation in the Department of Veterans Affairs. Med Care. 2017;55(7 suppl 1):S71-S75. doi:10.1097/MLR.0000000000000667
4. US Department of Veterans Affairs, Veterans Health Administration. VHA Directive 1108.08: VHA formulary management process. November 2, 2016. Accessed June 9, 2022. https://www.va.gov/vhapublications/ViewPublication.asp?pub_ID=3291
5. Massarweh NN, Itani KMF, Morris MS. The VA MISSION act and the future of veterans’ access to quality health care. JAMA. 2020;324:343-344. doi:10.1001/jama.2020.4505
6. Jourdan JP, Muzard A, Goyer I, et al. Impact of pharmacist interventions on clinical outcome and cost avoidance in a university teaching hospital. Int J Clin Pharm. 2018;40(6):1474-1481. doi:10.1007/s11096-018-0733-6
7. Lee AJ, Boro MS, Knapp KK, Meier JL, Korman NE. Clinical and economic outcomes of pharmacist recommendations in a Veterans Affairs medical center. Am J Health Syst Pharm. 2002;59(21):2070-2077. doi:10.1093/ajhp/59.21.2070
8. Dalton K, Byrne S. Role of the pharmacist in reducing healthcare costs: current insights. Integr Pharm Res Pract. 2017;6:37-46. doi:10.2147/IPRP.S108047
9. De Rijdt T, Willems L, Simoens S. Economic effects of clinical pharmacy interventions: a literature review. Am J Health Syst Pharm. 2008;65(12):1161-1172. doi:10.2146/ajhp070506
10. Perez A, Doloresco F, Hoffman J, et al. Economic evaluation of clinical pharmacy services: 2001-2005. Pharmacotherapy. 2009;29(1):128. doi:10.1592/phco.29.1.128
11. Nesbit TW, Shermock KM, Bobek MB, et al. Implementation and pharmacoeconomic analysis of a clinical staff pharmacist practice model. Am J Health Syst Pharm. 2001;58(9):784-790. doi:10.1093/ajhp/58.9.784
12. Yang S, Britt RB, Hashem MG, Brown JN. Outcomes of pharmacy-led hepatitis C direct-acting antiviral utilization management at a Veterans Affairs medical center. J Manag Care Pharm. 2017;23(3):364-369. doi:10.18553/jmcp.2017.23.3.364
13. Britt RB, Hashem MG, Bryan WE III, Kothapalli R, Brown JN. Economic outcomes associated with a pharmacist-adjudicated formulary consult service in a Veterans Affairs medical center. J Manag Care Pharm. 2016;22(9):1051-1061. doi:10.18553/jmcp.2016.22.9.1051
14. Jacob S, Britt RB, Bryan WE, Hashem MG, Hale JC, Brown JN. Economic outcomes associated with safety interventions by a pharmacist-adjudicated prior authorization consult service. J Manag Care Pharm. 2019;25(3):411-416. doi:10.18553/jmcp.2019.25.3.411
15. Aspinall SL, Sales MM, Good CB, et al. Pharmacy benefits management in the Veterans Health Administration revisited: a decade of advancements, 2004-2014. J Manag Care Spec Pharm. 2016;22(9):1058-1063. doi:10.18553/jmcp.2016.22.9.1058
16. US Department of Veterans Affairs, Office of the Chief Human Capital Officer. Title 38 Pay Schedules. Updated January 26, 2022. Accessed June 9, 2022. https://www.va.gov/ohrm/pay
Federal Health Care Data Trends 2022: Contraception
- H.R. 239 – Equal Access to Contraception for Veterans Act. Updated July 12, 2021. Accessed May 12, 2022. https://www.congress.gov/bill/117th-congress/house-bill/239
- H.R. 3643 – ACE Veterans Act. Updated September 7, 2021. Accessed May 12, 2022. https://www.congress.gov/bill/117th-congress/house-bill/3643
- S. 1915 – ACE Veterans Act. Updated May 27, 2021. Accessed May 12, 2022. https://www.congress.gov/bill/117th-congress/senate-bill/1915
- Sourcebook: Women Veterans in the Veterans Health Administration. Volume 4. US Department of Veterans Affairs. February 2018. Accessed March 15, 2022. https://www.womenshealth.va.gov/WOMENSHEALTH/docs/WHS_Sourcebook_Vol-IV_508c.pdf
- Borrero S, Zhao X, Mor MK, Schwarz EB, Good CB, Gellad WF. Adherence to hormonal contraception among women veterans: differences by race/ethnicity and contraceptive supply. Am J Obstet Gynecol. 2013;209(2):103.e1-11. http://doi.org/10.1016/j.ajog.2013.03.024
- Judge-Golden CP, Smith KJ, Mor MK, Borreo S. Financial implications of 12-month dispensing or oral contraceptive pills in the Veterans Affairs Health Care System. JAMA Intern Med. 2019;179(9):1201-1208. http://doi.org/10.1001/jamainternmed.2019.1678
- Borrero S, Callegari LS, Zhao X, et al. Unintended pregnancy and contraceptive use among women veterans: the ECUUN study. J Gen Intern Med. 2017;32(8):900-908. http://doi.org/10.1007/s11606-017-4049-3
- Quinn DA, Chin J, Callegari LS, et al. (April 2022). Contraception on Demand in VA: A demonstration project. Oral presentation at Society of General Internal Medicine Annual Meeting. Orlando, FL
- H.R. 239 – Equal Access to Contraception for Veterans Act. Updated July 12, 2021. Accessed May 12, 2022. https://www.congress.gov/bill/117th-congress/house-bill/239
- H.R. 3643 – ACE Veterans Act. Updated September 7, 2021. Accessed May 12, 2022. https://www.congress.gov/bill/117th-congress/house-bill/3643
- S. 1915 – ACE Veterans Act. Updated May 27, 2021. Accessed May 12, 2022. https://www.congress.gov/bill/117th-congress/senate-bill/1915
- Sourcebook: Women Veterans in the Veterans Health Administration. Volume 4. US Department of Veterans Affairs. February 2018. Accessed March 15, 2022. https://www.womenshealth.va.gov/WOMENSHEALTH/docs/WHS_Sourcebook_Vol-IV_508c.pdf
- Borrero S, Zhao X, Mor MK, Schwarz EB, Good CB, Gellad WF. Adherence to hormonal contraception among women veterans: differences by race/ethnicity and contraceptive supply. Am J Obstet Gynecol. 2013;209(2):103.e1-11. http://doi.org/10.1016/j.ajog.2013.03.024
- Judge-Golden CP, Smith KJ, Mor MK, Borreo S. Financial implications of 12-month dispensing or oral contraceptive pills in the Veterans Affairs Health Care System. JAMA Intern Med. 2019;179(9):1201-1208. http://doi.org/10.1001/jamainternmed.2019.1678
- Borrero S, Callegari LS, Zhao X, et al. Unintended pregnancy and contraceptive use among women veterans: the ECUUN study. J Gen Intern Med. 2017;32(8):900-908. http://doi.org/10.1007/s11606-017-4049-3
- Quinn DA, Chin J, Callegari LS, et al. (April 2022). Contraception on Demand in VA: A demonstration project. Oral presentation at Society of General Internal Medicine Annual Meeting. Orlando, FL
- H.R. 239 – Equal Access to Contraception for Veterans Act. Updated July 12, 2021. Accessed May 12, 2022. https://www.congress.gov/bill/117th-congress/house-bill/239
- H.R. 3643 – ACE Veterans Act. Updated September 7, 2021. Accessed May 12, 2022. https://www.congress.gov/bill/117th-congress/house-bill/3643
- S. 1915 – ACE Veterans Act. Updated May 27, 2021. Accessed May 12, 2022. https://www.congress.gov/bill/117th-congress/senate-bill/1915
- Sourcebook: Women Veterans in the Veterans Health Administration. Volume 4. US Department of Veterans Affairs. February 2018. Accessed March 15, 2022. https://www.womenshealth.va.gov/WOMENSHEALTH/docs/WHS_Sourcebook_Vol-IV_508c.pdf
- Borrero S, Zhao X, Mor MK, Schwarz EB, Good CB, Gellad WF. Adherence to hormonal contraception among women veterans: differences by race/ethnicity and contraceptive supply. Am J Obstet Gynecol. 2013;209(2):103.e1-11. http://doi.org/10.1016/j.ajog.2013.03.024
- Judge-Golden CP, Smith KJ, Mor MK, Borreo S. Financial implications of 12-month dispensing or oral contraceptive pills in the Veterans Affairs Health Care System. JAMA Intern Med. 2019;179(9):1201-1208. http://doi.org/10.1001/jamainternmed.2019.1678
- Borrero S, Callegari LS, Zhao X, et al. Unintended pregnancy and contraceptive use among women veterans: the ECUUN study. J Gen Intern Med. 2017;32(8):900-908. http://doi.org/10.1007/s11606-017-4049-3
- Quinn DA, Chin J, Callegari LS, et al. (April 2022). Contraception on Demand in VA: A demonstration project. Oral presentation at Society of General Internal Medicine Annual Meeting. Orlando, FL
Federal Health Care Data Trends 2022: Skin Health for Active-Duty Personnel
- Curry JA, Maguire JD, Fraser J, et al. Prevalence of Staphylococcus aureus colonization and risk factors for infection among military personnel in a shipboard setting. Mil Med. 2016;181(6):524-529. http://doi.org/10.7205/MILMED-D-15-00274
- Piquero-Casals J, Carrascosa JM, Morgado-Carrasco D, et al. The role of photoprotection in optimizing the treatment of atopic dermatitis. Dermatol Ther (Heidelb). 2021;11(2):315-325. http://doi.org/10.1007/s13555-021-00495-y
- Riegleman KL, Farnsworth GS, Wong EB. Atopic dermatitis in the US military. Cutis. 2019;104(3):144-147.
- Atopic dermatitis. National Eczema Association. Accessed March 28, 2022. https://nationaleczema.org/eczema/types-of-eczema/atopic-dermatitis/
- Chiesa Fuxench ZC, Block JK, Boguniewicz M, et al. Atopic Dermatitis in America Study: a cross-sectional study examining the prevalence and disease burden of atopic dermatitis in the US adult population. J Invest Dermatol. 2019;139(3):583-590. http://doi.org/10.1016/j.jid.2018.08.028
- Jeter J, Bowen C. Atopic dermatitis and implications for military service. Mil Med. 2019;184(5-6):e177-e182. http://doi.org/10.1093/milmed/usy427
- Kuznik A, Bégo-Le-Bagousse G, Eckert L, et al. Economic evaluation of dupilumab for the treatment of moderate-to-severe atopic dermatitis in adults. Dermatol Ther (Heidelb). 2017;7(4):493-505. http://doi.org/10.1007/s13555-017-0201-6
- Gregory JF, Taylor EA, Liu YE, Love TV, Raiciulescu S, Meyerle JH. The burden of skin disease on deployed servicemembers. Mil Med. 2019;184(11-12):889-893. http://doi.org/10.1093/milmed/usz110
- Lyford WH, Crotty A, Logemann NF. Sun exposure prevention practices within US naval aviation. Mil Med. 2022;187(1-2):167-173. http://doi.org/10.1093/milmed/usab099
- Curry JA, Maguire JD, Fraser J, et al. Prevalence of Staphylococcus aureus colonization and risk factors for infection among military personnel in a shipboard setting. Mil Med. 2016;181(6):524-529. http://doi.org/10.7205/MILMED-D-15-00274
- Piquero-Casals J, Carrascosa JM, Morgado-Carrasco D, et al. The role of photoprotection in optimizing the treatment of atopic dermatitis. Dermatol Ther (Heidelb). 2021;11(2):315-325. http://doi.org/10.1007/s13555-021-00495-y
- Riegleman KL, Farnsworth GS, Wong EB. Atopic dermatitis in the US military. Cutis. 2019;104(3):144-147.
- Atopic dermatitis. National Eczema Association. Accessed March 28, 2022. https://nationaleczema.org/eczema/types-of-eczema/atopic-dermatitis/
- Chiesa Fuxench ZC, Block JK, Boguniewicz M, et al. Atopic Dermatitis in America Study: a cross-sectional study examining the prevalence and disease burden of atopic dermatitis in the US adult population. J Invest Dermatol. 2019;139(3):583-590. http://doi.org/10.1016/j.jid.2018.08.028
- Jeter J, Bowen C. Atopic dermatitis and implications for military service. Mil Med. 2019;184(5-6):e177-e182. http://doi.org/10.1093/milmed/usy427
- Kuznik A, Bégo-Le-Bagousse G, Eckert L, et al. Economic evaluation of dupilumab for the treatment of moderate-to-severe atopic dermatitis in adults. Dermatol Ther (Heidelb). 2017;7(4):493-505. http://doi.org/10.1007/s13555-017-0201-6
- Gregory JF, Taylor EA, Liu YE, Love TV, Raiciulescu S, Meyerle JH. The burden of skin disease on deployed servicemembers. Mil Med. 2019;184(11-12):889-893. http://doi.org/10.1093/milmed/usz110
- Lyford WH, Crotty A, Logemann NF. Sun exposure prevention practices within US naval aviation. Mil Med. 2022;187(1-2):167-173. http://doi.org/10.1093/milmed/usab099
- Curry JA, Maguire JD, Fraser J, et al. Prevalence of Staphylococcus aureus colonization and risk factors for infection among military personnel in a shipboard setting. Mil Med. 2016;181(6):524-529. http://doi.org/10.7205/MILMED-D-15-00274
- Piquero-Casals J, Carrascosa JM, Morgado-Carrasco D, et al. The role of photoprotection in optimizing the treatment of atopic dermatitis. Dermatol Ther (Heidelb). 2021;11(2):315-325. http://doi.org/10.1007/s13555-021-00495-y
- Riegleman KL, Farnsworth GS, Wong EB. Atopic dermatitis in the US military. Cutis. 2019;104(3):144-147.
- Atopic dermatitis. National Eczema Association. Accessed March 28, 2022. https://nationaleczema.org/eczema/types-of-eczema/atopic-dermatitis/
- Chiesa Fuxench ZC, Block JK, Boguniewicz M, et al. Atopic Dermatitis in America Study: a cross-sectional study examining the prevalence and disease burden of atopic dermatitis in the US adult population. J Invest Dermatol. 2019;139(3):583-590. http://doi.org/10.1016/j.jid.2018.08.028
- Jeter J, Bowen C. Atopic dermatitis and implications for military service. Mil Med. 2019;184(5-6):e177-e182. http://doi.org/10.1093/milmed/usy427
- Kuznik A, Bégo-Le-Bagousse G, Eckert L, et al. Economic evaluation of dupilumab for the treatment of moderate-to-severe atopic dermatitis in adults. Dermatol Ther (Heidelb). 2017;7(4):493-505. http://doi.org/10.1007/s13555-017-0201-6
- Gregory JF, Taylor EA, Liu YE, Love TV, Raiciulescu S, Meyerle JH. The burden of skin disease on deployed servicemembers. Mil Med. 2019;184(11-12):889-893. http://doi.org/10.1093/milmed/usz110
- Lyford WH, Crotty A, Logemann NF. Sun exposure prevention practices within US naval aviation. Mil Med. 2022;187(1-2):167-173. http://doi.org/10.1093/milmed/usab099
Prolonged Drug-Induced Hypersensitivity Syndrome/DRESS With Alopecia Areata and Autoimmune Thyroiditis
Drug-induced hypersensitivity syndrome (DIHS), also called drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome, is a potentially fatal drug-induced hypersensitivity reaction that is characterized by a cutaneous eruption, multiorgan involvement, viral reactivation, and hematologic abnormalities. As the nomenclature of this disease advances, consensus groups have adopted DIHS/DRESS to underscore that both names refer to the same clinical phenomenon.1 Autoimmune sequelae have been reported after DIHS/DRESS that include vitiligo, thyroid disease, and type 1 diabetes mellitus (T1DM). We present a case of lamotrigine-associated DIHS/DRESS complicated by an unusually prolonged course requiring oral corticosteroids and narrow-band ultraviolet B (UVB) treatment and with development of extensive alopecia areata and autoimmune thyroiditis.
Case Presentation
A 35-year-old female Filipino patient was prescribed lamotrigine 25 mg daily for bipolar II disorder and titrated to 100 mg twice daily after 1 month. One week after the increase, the patient developed a diffuse morbilliform rash covering their entire body along with facial swelling and generalized pruritus. Lamotrigine was discontinued after lamotrigine allergy was diagnosed. The patient improved following a 9-day oral prednisone taper and was placed on oxcarbazepine 300 mg twice daily to manage their bipolar disorder. One day after completing the taper, the patient presented again with worsening rash, swelling, and cervical lymphadenopathy. Oxcarbazepine was discontinued, and oral prednisone 60 mg was reinstituted for an additional 11 days.
Dermatology evaluated the patient 10 days after completion of the second oral steroid taper (1 month after cessation of lamotrigine). The patient had erythroderma along with malaise, fevers, chills, and fatigue and a diffuse burning sensation (Figure 1). The patient was hypotensive and tachycardic with significant eosinophilia (42%; reference range, 0%-8%), transaminitis, and renal insufficiency. The patient was diagnosed with DIHS/DRESS based on their clinical presentation and calculated RegiSCAR score of 7 (score > 5 corresponds with definite DIHS/DRESS and points were given for fever, enlarged lymph nodes, eosinophilia ≥ 20%, skin rash extending > 50% of their body, edema and scaling, and 2 organs involved).2 A punch biopsy was confirmatory (Figure 2A).3 The patient was started on prednisone 80 mg once daily along with topical fluocinonide 0.05% ointment. However, the patient’s clinical status deteriorated, requiring hospital admission for heart failure evaluation. The echocardiogram revealed hyperdynamic circulation but was otherwise unremarkable.
The patient was maintained on prednisone 70 to 80 mg daily for 2 months before improvement of the rash and pruritus. The prednisone was slowly tapered over a 6-week period and then discontinued. Shortly after discontinuation, the patient redeveloped erythroderma. Skin biopsy and complete blood count (17.3% eosinophilia) confirmed the suspected DIHS/DRESS relapse (Figure 2B). In addition, the patient reported upper respiratory tract symptoms and concurrently tested positive for human herpesvirus 6 (HHV-6). The patient was restarted on prednisone and low-dose narrow-band UVB (nbUVB) therapy was added. Over the following 2 months, they responded well to low-dose nbUVB therapy. By the end of nbUVB treatment, about 5 months after initial presentation, the patient’s erythroderma improved, eosinophilia resolved, and they were able to tolerate prednisone taper. Ten months after cessation of lamotrigine, prednisone was finally discontinued. Two weeks later, the patient was screened for adrenal insufficiency (AI) given the prolonged steroid course. Their serum morning cortisol level was within normal limits.
Four months after DIHS/DRESS resolution and cessation of steroids, the patient noted significant patches of smooth alopecia on their posterior scalp and was diagnosed with alopecia areata. Treatment with intralesional triamcinolone over 2 months resulted in regrowth of hair (Figure 3). A month later, the patient reported increasing fatigue and anorexia. The patient was evaluated once more for AI, this time with low morning cortisol and low adrenocorticotrophic hormone (ACTH) levels—consistent with AI secondary to prolonged glucocorticoid therapy. The patient also was concomitantly evaluated for hypothyroidism with significantly elevated thyroperoxidase antibodies—confirming the diagnosis of Hashimoto thyroiditis.
Discussion
DIHS/DRESS syndrome is a rare, but potentially life-threatening hypersensitivity to a medication, often beginning 2 to 6 weeks after exposure to the causative agent. The incidence of DIHS/DRESS in the general population is about 2 per 100,000.3 Our patient presented with DIHS/DRESS 33 days after starting lamotrigine, which corresponds with the published mean onset of anticonvulsant-induced DIHS/DRESS (29.7-33.3 days).4 Recent evidence shows that time from drug exposure to DIHS/DRESS symptoms may vary by drug class, with antibiotics implicated as precipitating DIHS/DRESS in < 15 days.3 The diagnosis of DIHS/DRESS may be complicated for many reasons. The accompanying rash may be morbilliform, erythroderma, or exfoliative dermatitis with multiple anatomic regions affected.5 Systemic involvement with various internal organs occurs in > 90% of cases, with the liver and kidney involved most frequently.5 Overall mortality rate may be as high as 10% most commonly due to acute liver failure.5 Biopsy may be helpful in the diagnosis but is not always specific.5 Diagnostic criteria include RegiSCAR and J-SCAR scores; our patient met criteria for both (Table).5
The pathogenesis of DIHS/DRESS remains unclear. Proposed mechanisms include genetic predisposition with human leukocyte antigen (HLA) haplotypes, autoimmune with a delayed cell-mediated immune response associated with herpesviruses, and abnormal enzymatic pathways that metabolize medications.2 Although no HLA has been identified between lamotrigine and DIHS, HLA-A*02:07 and HLA-B*15:02 have been associated with lamotrigine-induced cutaneous drug reactions in patients of Thai ancestry.6 Immunosuppression also is a risk factor, especially when accompanied by a primary or reactivated HHV-6 infection, as seen in our patient.2 Additionally, HHV-6 infection may be a common link between DIHS/DRESS and autoimmune thyroiditis but is believed to involve elevated levels of interferon-γ-induced protein-10 (IP-10) that may lead to excessive recruitment of cytotoxic T cells into target tissues.7 Elevated levels of IP-10 are seen in many autoimmune conditions, such as autoimmune thyroiditis, Sjögren syndrome, and Graves disease.8
DIHS/DRESS syndrome has been associated with development of autoimmune diseases as long-term sequelae. The most commonly affected organs are the thyroid and pancreas; approximately 4.8% of patients develop autoimmune thyroiditis and 3.5% develop fulminant T1DM.9 The time from onset of DIHS/DRESS to development of autoimmune thyroiditis can range from 2 months to 2 years, whereas the range from DIHS/DRESS onset to fulminant T1DM is about 40 days.9 Alopecia had been reported in 1, occurring 4 months after DIHS/DRESS onset. Our patient’s alopecia areata and Hashimoto thyroiditis occurred 14 and 15 months after DIHS/DRESS presentation, respectively.
Treatment
For management, early recognition and discontinuation of the offending agent is paramount. Systemic corticosteroids are the accepted treatment standard. Symptoms of DIHS/DRESS usually resolve between 3 and 18 weeks, with the mean resolution time at 7 weeks.10 Our patient developed a prolonged course with persistent eosinophilia for 20 weeks and cutaneous symptoms for 32 weeks—requiring 40 weeks of oral prednisone. The most significant clinical improvement occurred during the 8-week period low-dose nbUVB was used (Figure 4). There also are reports outlining the successful use of intravenous immunoglobulin, cyclosporine, cyclophosphamide, rituximab, or plasma exchange in cases refractory to oral corticosteroids.11
A recent retrospective case control study showed that treatment of DIHS/DRESS with cyclosporine in patients who had a contraindication to steroids resulted in faster resolution of symptoms, shorter treatment durations, and shorter hospitalizations than did those treated with corticosteroids.12 However, the data are limited by a significantly smaller number of patients treated with cyclosporine than steroids and the cyclosporine treatment group having milder cases of DIHS/DRESS.12
The risk of AI is increased for patients who have taken > 20 mg of prednisone daily ≥ 3 weeks, an evening dose ≥ 5 mg for a few weeks, or have a Cushingoid appearance.13 Patients may not regain full adrenal function for 12 to 18 months.14 Our patient had a normal basal serum cortisol level 2 weeks after prednisone cessation and then presented 5 months later with AI. While the reason for this period of normality is unclear, it may partly be due to the variable length of hypothalamic-pituitary-adrenal axis recovery time. Thus, ACTH stimulation tests in addition to serum cortisol may be done in patients with suspected AI for higher diagnostic certainty.10
Conclusions
DIHS/DRESS is a severe cutaneous adverse reaction that may require a prolonged treatment course until symptom resolution (40 weeks of oral prednisone in our patient). Oral corticosteroids are the mainstay of treatment, but long-term use is associated with significant adverse effects, such as AI in our patient. Alternative therapies, such as cyclosporine, look promising, but further studies are needed to determine safety profile and efficacy.12 Additionally, patients with DIHS/DRESS should be educated and followed for potential autoimmune sequelae; in our patient alopecia areata and autoimmune thyroiditis were late sequelae, occurring 14 and 15 months, respectively, after onset of DIHS/DRESS.
1. RegiSCAR. Accessed June 3, 2022. http://www.regiscar.org
2. Shiohara T, Mizukawa Y. Drug-induced hypersensitivity syndrome (DiHS)/drug reaction with eosinophilia and systemic symptoms (DRESS): an update in 2019. Allergol Int. 2019;68(3):301-308. doi:10.1016/j.alit.2019.03.006
3. Wolfson AR, Zhou L, Li Y, Phadke NA, Chow OA, Blumenthal KG. Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome identified in the electronic health record allergy module. J Allergy Clin Immunol Pract. 2019;7(2):633-640. doi:10.1016/j.jaip.2018.08.013
4. Sasidharanpillai S, Govindan A, Riyaz N, et al. Drug reaction with eosinophilia and systemic symptoms (DRESS): a histopathology based analysis. Indian J Dermatol Venereol Leprol. 2016;82(1):28. doi:10.4103/0378-6323.168934
5. Kardaun SH, Sekula P, Valeyrie‐Allanore L, et al. Drug reaction with eosinophilia and systemic symptoms (DRESS): an original multisystem adverse drug reaction. Results from the prospective RegiSCAR study. Br J Dermatol. 2013;169(5):1071-1080. doi:10.1111/bjd.12501
6. Koomdee N, Pratoomwun J, Jantararoungtong T, et al. Association of HLA-A and HLA-B alleles with lamotrigine-induced cutaneous adverse drug reactions in the Thai population. Front Pharmacol. 2017;8. doi:10.3389/fphar.2017.00879
7. Yang C-W, Cho Y-T, Hsieh Y-C, Hsu S-H, Chen K-L, Chu C-Y. The interferon-γ-induced protein 10/CXCR3 axis is associated with human herpesvirus-6 reactivation and the development of sequelae in drug reaction with eosinophilia and systemic symptoms. Br J Dermatol. 2020;183(5):909-919. doi:10.1111/bjd.18942
8. Ruffilli I, Ferrari SM, Colaci M, Ferri C, Fallahi P, Antonelli A. IP-10 in autoimmune thyroiditis. Horm Metab Res. 2014;46(9):597-602. doi:10.1055/s-0034-1382053
9. Kano Y, Tohyama M, Aihara M, et al. Sequelae in 145 patients with drug-induced hypersensitivity syndrome/drug reaction with eosinophilia and systemic symptoms: survey conducted by the Asian Research Committee on Severe Cutaneous Adverse Reactions (ASCAR). J Dermatol. 2015;42(3):276-282. doi:10.1111/1346-8138.12770
10. Cacoub P, Musette P, Descamps V, et al. The DRESS syndrome: a literature review. Am J Med. 2011;124(7):588-597. doi:10.1016/j.amjmed.2011.01.017
11. Bommersbach TJ, Lapid MI, Leung JG, Cunningham JL, Rummans TA, Kung S. Management of psychotropic drug-induced dress syndrome: a systematic review. Mayo Clin Proc. 2016;91(6):787-801. doi:10.1016/j.mayocp.2016.03.006
12. Nguyen E, Yanes D, Imadojemu S, Kroshinsky D. Evaluation of cyclosporine for the treatment of DRESS syndrome. JAMA Dermatol. 2020;156(6):704-706. doi:10.1001/jamadermatol.2020.0048
13. Joseph RM, Hunter AL, Ray DW, Dixon WG. Systemic glucocorticoid therapy and adrenal insufficiency in adults: a systematic review. Semin Arthritis Rheum. 2016;46(1):133-141. doi:10.1016/j.semarthrit.2016.03.001
14. Jamilloux Y, Liozon E, Pugnet G, et al. Recovery of adrenal function after long-term glucocorticoid therapy for giant cell arteritis: a cohort study. PLoS ONE. 2013;8(7):e68713. doi:10.1371/journal.pone.0068713
Drug-induced hypersensitivity syndrome (DIHS), also called drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome, is a potentially fatal drug-induced hypersensitivity reaction that is characterized by a cutaneous eruption, multiorgan involvement, viral reactivation, and hematologic abnormalities. As the nomenclature of this disease advances, consensus groups have adopted DIHS/DRESS to underscore that both names refer to the same clinical phenomenon.1 Autoimmune sequelae have been reported after DIHS/DRESS that include vitiligo, thyroid disease, and type 1 diabetes mellitus (T1DM). We present a case of lamotrigine-associated DIHS/DRESS complicated by an unusually prolonged course requiring oral corticosteroids and narrow-band ultraviolet B (UVB) treatment and with development of extensive alopecia areata and autoimmune thyroiditis.
Case Presentation
A 35-year-old female Filipino patient was prescribed lamotrigine 25 mg daily for bipolar II disorder and titrated to 100 mg twice daily after 1 month. One week after the increase, the patient developed a diffuse morbilliform rash covering their entire body along with facial swelling and generalized pruritus. Lamotrigine was discontinued after lamotrigine allergy was diagnosed. The patient improved following a 9-day oral prednisone taper and was placed on oxcarbazepine 300 mg twice daily to manage their bipolar disorder. One day after completing the taper, the patient presented again with worsening rash, swelling, and cervical lymphadenopathy. Oxcarbazepine was discontinued, and oral prednisone 60 mg was reinstituted for an additional 11 days.
Dermatology evaluated the patient 10 days after completion of the second oral steroid taper (1 month after cessation of lamotrigine). The patient had erythroderma along with malaise, fevers, chills, and fatigue and a diffuse burning sensation (Figure 1). The patient was hypotensive and tachycardic with significant eosinophilia (42%; reference range, 0%-8%), transaminitis, and renal insufficiency. The patient was diagnosed with DIHS/DRESS based on their clinical presentation and calculated RegiSCAR score of 7 (score > 5 corresponds with definite DIHS/DRESS and points were given for fever, enlarged lymph nodes, eosinophilia ≥ 20%, skin rash extending > 50% of their body, edema and scaling, and 2 organs involved).2 A punch biopsy was confirmatory (Figure 2A).3 The patient was started on prednisone 80 mg once daily along with topical fluocinonide 0.05% ointment. However, the patient’s clinical status deteriorated, requiring hospital admission for heart failure evaluation. The echocardiogram revealed hyperdynamic circulation but was otherwise unremarkable.
The patient was maintained on prednisone 70 to 80 mg daily for 2 months before improvement of the rash and pruritus. The prednisone was slowly tapered over a 6-week period and then discontinued. Shortly after discontinuation, the patient redeveloped erythroderma. Skin biopsy and complete blood count (17.3% eosinophilia) confirmed the suspected DIHS/DRESS relapse (Figure 2B). In addition, the patient reported upper respiratory tract symptoms and concurrently tested positive for human herpesvirus 6 (HHV-6). The patient was restarted on prednisone and low-dose narrow-band UVB (nbUVB) therapy was added. Over the following 2 months, they responded well to low-dose nbUVB therapy. By the end of nbUVB treatment, about 5 months after initial presentation, the patient’s erythroderma improved, eosinophilia resolved, and they were able to tolerate prednisone taper. Ten months after cessation of lamotrigine, prednisone was finally discontinued. Two weeks later, the patient was screened for adrenal insufficiency (AI) given the prolonged steroid course. Their serum morning cortisol level was within normal limits.
Four months after DIHS/DRESS resolution and cessation of steroids, the patient noted significant patches of smooth alopecia on their posterior scalp and was diagnosed with alopecia areata. Treatment with intralesional triamcinolone over 2 months resulted in regrowth of hair (Figure 3). A month later, the patient reported increasing fatigue and anorexia. The patient was evaluated once more for AI, this time with low morning cortisol and low adrenocorticotrophic hormone (ACTH) levels—consistent with AI secondary to prolonged glucocorticoid therapy. The patient also was concomitantly evaluated for hypothyroidism with significantly elevated thyroperoxidase antibodies—confirming the diagnosis of Hashimoto thyroiditis.
Discussion
DIHS/DRESS syndrome is a rare, but potentially life-threatening hypersensitivity to a medication, often beginning 2 to 6 weeks after exposure to the causative agent. The incidence of DIHS/DRESS in the general population is about 2 per 100,000.3 Our patient presented with DIHS/DRESS 33 days after starting lamotrigine, which corresponds with the published mean onset of anticonvulsant-induced DIHS/DRESS (29.7-33.3 days).4 Recent evidence shows that time from drug exposure to DIHS/DRESS symptoms may vary by drug class, with antibiotics implicated as precipitating DIHS/DRESS in < 15 days.3 The diagnosis of DIHS/DRESS may be complicated for many reasons. The accompanying rash may be morbilliform, erythroderma, or exfoliative dermatitis with multiple anatomic regions affected.5 Systemic involvement with various internal organs occurs in > 90% of cases, with the liver and kidney involved most frequently.5 Overall mortality rate may be as high as 10% most commonly due to acute liver failure.5 Biopsy may be helpful in the diagnosis but is not always specific.5 Diagnostic criteria include RegiSCAR and J-SCAR scores; our patient met criteria for both (Table).5
The pathogenesis of DIHS/DRESS remains unclear. Proposed mechanisms include genetic predisposition with human leukocyte antigen (HLA) haplotypes, autoimmune with a delayed cell-mediated immune response associated with herpesviruses, and abnormal enzymatic pathways that metabolize medications.2 Although no HLA has been identified between lamotrigine and DIHS, HLA-A*02:07 and HLA-B*15:02 have been associated with lamotrigine-induced cutaneous drug reactions in patients of Thai ancestry.6 Immunosuppression also is a risk factor, especially when accompanied by a primary or reactivated HHV-6 infection, as seen in our patient.2 Additionally, HHV-6 infection may be a common link between DIHS/DRESS and autoimmune thyroiditis but is believed to involve elevated levels of interferon-γ-induced protein-10 (IP-10) that may lead to excessive recruitment of cytotoxic T cells into target tissues.7 Elevated levels of IP-10 are seen in many autoimmune conditions, such as autoimmune thyroiditis, Sjögren syndrome, and Graves disease.8
DIHS/DRESS syndrome has been associated with development of autoimmune diseases as long-term sequelae. The most commonly affected organs are the thyroid and pancreas; approximately 4.8% of patients develop autoimmune thyroiditis and 3.5% develop fulminant T1DM.9 The time from onset of DIHS/DRESS to development of autoimmune thyroiditis can range from 2 months to 2 years, whereas the range from DIHS/DRESS onset to fulminant T1DM is about 40 days.9 Alopecia had been reported in 1, occurring 4 months after DIHS/DRESS onset. Our patient’s alopecia areata and Hashimoto thyroiditis occurred 14 and 15 months after DIHS/DRESS presentation, respectively.
Treatment
For management, early recognition and discontinuation of the offending agent is paramount. Systemic corticosteroids are the accepted treatment standard. Symptoms of DIHS/DRESS usually resolve between 3 and 18 weeks, with the mean resolution time at 7 weeks.10 Our patient developed a prolonged course with persistent eosinophilia for 20 weeks and cutaneous symptoms for 32 weeks—requiring 40 weeks of oral prednisone. The most significant clinical improvement occurred during the 8-week period low-dose nbUVB was used (Figure 4). There also are reports outlining the successful use of intravenous immunoglobulin, cyclosporine, cyclophosphamide, rituximab, or plasma exchange in cases refractory to oral corticosteroids.11
A recent retrospective case control study showed that treatment of DIHS/DRESS with cyclosporine in patients who had a contraindication to steroids resulted in faster resolution of symptoms, shorter treatment durations, and shorter hospitalizations than did those treated with corticosteroids.12 However, the data are limited by a significantly smaller number of patients treated with cyclosporine than steroids and the cyclosporine treatment group having milder cases of DIHS/DRESS.12
The risk of AI is increased for patients who have taken > 20 mg of prednisone daily ≥ 3 weeks, an evening dose ≥ 5 mg for a few weeks, or have a Cushingoid appearance.13 Patients may not regain full adrenal function for 12 to 18 months.14 Our patient had a normal basal serum cortisol level 2 weeks after prednisone cessation and then presented 5 months later with AI. While the reason for this period of normality is unclear, it may partly be due to the variable length of hypothalamic-pituitary-adrenal axis recovery time. Thus, ACTH stimulation tests in addition to serum cortisol may be done in patients with suspected AI for higher diagnostic certainty.10
Conclusions
DIHS/DRESS is a severe cutaneous adverse reaction that may require a prolonged treatment course until symptom resolution (40 weeks of oral prednisone in our patient). Oral corticosteroids are the mainstay of treatment, but long-term use is associated with significant adverse effects, such as AI in our patient. Alternative therapies, such as cyclosporine, look promising, but further studies are needed to determine safety profile and efficacy.12 Additionally, patients with DIHS/DRESS should be educated and followed for potential autoimmune sequelae; in our patient alopecia areata and autoimmune thyroiditis were late sequelae, occurring 14 and 15 months, respectively, after onset of DIHS/DRESS.
Drug-induced hypersensitivity syndrome (DIHS), also called drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome, is a potentially fatal drug-induced hypersensitivity reaction that is characterized by a cutaneous eruption, multiorgan involvement, viral reactivation, and hematologic abnormalities. As the nomenclature of this disease advances, consensus groups have adopted DIHS/DRESS to underscore that both names refer to the same clinical phenomenon.1 Autoimmune sequelae have been reported after DIHS/DRESS that include vitiligo, thyroid disease, and type 1 diabetes mellitus (T1DM). We present a case of lamotrigine-associated DIHS/DRESS complicated by an unusually prolonged course requiring oral corticosteroids and narrow-band ultraviolet B (UVB) treatment and with development of extensive alopecia areata and autoimmune thyroiditis.
Case Presentation
A 35-year-old female Filipino patient was prescribed lamotrigine 25 mg daily for bipolar II disorder and titrated to 100 mg twice daily after 1 month. One week after the increase, the patient developed a diffuse morbilliform rash covering their entire body along with facial swelling and generalized pruritus. Lamotrigine was discontinued after lamotrigine allergy was diagnosed. The patient improved following a 9-day oral prednisone taper and was placed on oxcarbazepine 300 mg twice daily to manage their bipolar disorder. One day after completing the taper, the patient presented again with worsening rash, swelling, and cervical lymphadenopathy. Oxcarbazepine was discontinued, and oral prednisone 60 mg was reinstituted for an additional 11 days.
Dermatology evaluated the patient 10 days after completion of the second oral steroid taper (1 month after cessation of lamotrigine). The patient had erythroderma along with malaise, fevers, chills, and fatigue and a diffuse burning sensation (Figure 1). The patient was hypotensive and tachycardic with significant eosinophilia (42%; reference range, 0%-8%), transaminitis, and renal insufficiency. The patient was diagnosed with DIHS/DRESS based on their clinical presentation and calculated RegiSCAR score of 7 (score > 5 corresponds with definite DIHS/DRESS and points were given for fever, enlarged lymph nodes, eosinophilia ≥ 20%, skin rash extending > 50% of their body, edema and scaling, and 2 organs involved).2 A punch biopsy was confirmatory (Figure 2A).3 The patient was started on prednisone 80 mg once daily along with topical fluocinonide 0.05% ointment. However, the patient’s clinical status deteriorated, requiring hospital admission for heart failure evaluation. The echocardiogram revealed hyperdynamic circulation but was otherwise unremarkable.
The patient was maintained on prednisone 70 to 80 mg daily for 2 months before improvement of the rash and pruritus. The prednisone was slowly tapered over a 6-week period and then discontinued. Shortly after discontinuation, the patient redeveloped erythroderma. Skin biopsy and complete blood count (17.3% eosinophilia) confirmed the suspected DIHS/DRESS relapse (Figure 2B). In addition, the patient reported upper respiratory tract symptoms and concurrently tested positive for human herpesvirus 6 (HHV-6). The patient was restarted on prednisone and low-dose narrow-band UVB (nbUVB) therapy was added. Over the following 2 months, they responded well to low-dose nbUVB therapy. By the end of nbUVB treatment, about 5 months after initial presentation, the patient’s erythroderma improved, eosinophilia resolved, and they were able to tolerate prednisone taper. Ten months after cessation of lamotrigine, prednisone was finally discontinued. Two weeks later, the patient was screened for adrenal insufficiency (AI) given the prolonged steroid course. Their serum morning cortisol level was within normal limits.
Four months after DIHS/DRESS resolution and cessation of steroids, the patient noted significant patches of smooth alopecia on their posterior scalp and was diagnosed with alopecia areata. Treatment with intralesional triamcinolone over 2 months resulted in regrowth of hair (Figure 3). A month later, the patient reported increasing fatigue and anorexia. The patient was evaluated once more for AI, this time with low morning cortisol and low adrenocorticotrophic hormone (ACTH) levels—consistent with AI secondary to prolonged glucocorticoid therapy. The patient also was concomitantly evaluated for hypothyroidism with significantly elevated thyroperoxidase antibodies—confirming the diagnosis of Hashimoto thyroiditis.
Discussion
DIHS/DRESS syndrome is a rare, but potentially life-threatening hypersensitivity to a medication, often beginning 2 to 6 weeks after exposure to the causative agent. The incidence of DIHS/DRESS in the general population is about 2 per 100,000.3 Our patient presented with DIHS/DRESS 33 days after starting lamotrigine, which corresponds with the published mean onset of anticonvulsant-induced DIHS/DRESS (29.7-33.3 days).4 Recent evidence shows that time from drug exposure to DIHS/DRESS symptoms may vary by drug class, with antibiotics implicated as precipitating DIHS/DRESS in < 15 days.3 The diagnosis of DIHS/DRESS may be complicated for many reasons. The accompanying rash may be morbilliform, erythroderma, or exfoliative dermatitis with multiple anatomic regions affected.5 Systemic involvement with various internal organs occurs in > 90% of cases, with the liver and kidney involved most frequently.5 Overall mortality rate may be as high as 10% most commonly due to acute liver failure.5 Biopsy may be helpful in the diagnosis but is not always specific.5 Diagnostic criteria include RegiSCAR and J-SCAR scores; our patient met criteria for both (Table).5
The pathogenesis of DIHS/DRESS remains unclear. Proposed mechanisms include genetic predisposition with human leukocyte antigen (HLA) haplotypes, autoimmune with a delayed cell-mediated immune response associated with herpesviruses, and abnormal enzymatic pathways that metabolize medications.2 Although no HLA has been identified between lamotrigine and DIHS, HLA-A*02:07 and HLA-B*15:02 have been associated with lamotrigine-induced cutaneous drug reactions in patients of Thai ancestry.6 Immunosuppression also is a risk factor, especially when accompanied by a primary or reactivated HHV-6 infection, as seen in our patient.2 Additionally, HHV-6 infection may be a common link between DIHS/DRESS and autoimmune thyroiditis but is believed to involve elevated levels of interferon-γ-induced protein-10 (IP-10) that may lead to excessive recruitment of cytotoxic T cells into target tissues.7 Elevated levels of IP-10 are seen in many autoimmune conditions, such as autoimmune thyroiditis, Sjögren syndrome, and Graves disease.8
DIHS/DRESS syndrome has been associated with development of autoimmune diseases as long-term sequelae. The most commonly affected organs are the thyroid and pancreas; approximately 4.8% of patients develop autoimmune thyroiditis and 3.5% develop fulminant T1DM.9 The time from onset of DIHS/DRESS to development of autoimmune thyroiditis can range from 2 months to 2 years, whereas the range from DIHS/DRESS onset to fulminant T1DM is about 40 days.9 Alopecia had been reported in 1, occurring 4 months after DIHS/DRESS onset. Our patient’s alopecia areata and Hashimoto thyroiditis occurred 14 and 15 months after DIHS/DRESS presentation, respectively.
Treatment
For management, early recognition and discontinuation of the offending agent is paramount. Systemic corticosteroids are the accepted treatment standard. Symptoms of DIHS/DRESS usually resolve between 3 and 18 weeks, with the mean resolution time at 7 weeks.10 Our patient developed a prolonged course with persistent eosinophilia for 20 weeks and cutaneous symptoms for 32 weeks—requiring 40 weeks of oral prednisone. The most significant clinical improvement occurred during the 8-week period low-dose nbUVB was used (Figure 4). There also are reports outlining the successful use of intravenous immunoglobulin, cyclosporine, cyclophosphamide, rituximab, or plasma exchange in cases refractory to oral corticosteroids.11
A recent retrospective case control study showed that treatment of DIHS/DRESS with cyclosporine in patients who had a contraindication to steroids resulted in faster resolution of symptoms, shorter treatment durations, and shorter hospitalizations than did those treated with corticosteroids.12 However, the data are limited by a significantly smaller number of patients treated with cyclosporine than steroids and the cyclosporine treatment group having milder cases of DIHS/DRESS.12
The risk of AI is increased for patients who have taken > 20 mg of prednisone daily ≥ 3 weeks, an evening dose ≥ 5 mg for a few weeks, or have a Cushingoid appearance.13 Patients may not regain full adrenal function for 12 to 18 months.14 Our patient had a normal basal serum cortisol level 2 weeks after prednisone cessation and then presented 5 months later with AI. While the reason for this period of normality is unclear, it may partly be due to the variable length of hypothalamic-pituitary-adrenal axis recovery time. Thus, ACTH stimulation tests in addition to serum cortisol may be done in patients with suspected AI for higher diagnostic certainty.10
Conclusions
DIHS/DRESS is a severe cutaneous adverse reaction that may require a prolonged treatment course until symptom resolution (40 weeks of oral prednisone in our patient). Oral corticosteroids are the mainstay of treatment, but long-term use is associated with significant adverse effects, such as AI in our patient. Alternative therapies, such as cyclosporine, look promising, but further studies are needed to determine safety profile and efficacy.12 Additionally, patients with DIHS/DRESS should be educated and followed for potential autoimmune sequelae; in our patient alopecia areata and autoimmune thyroiditis were late sequelae, occurring 14 and 15 months, respectively, after onset of DIHS/DRESS.
1. RegiSCAR. Accessed June 3, 2022. http://www.regiscar.org
2. Shiohara T, Mizukawa Y. Drug-induced hypersensitivity syndrome (DiHS)/drug reaction with eosinophilia and systemic symptoms (DRESS): an update in 2019. Allergol Int. 2019;68(3):301-308. doi:10.1016/j.alit.2019.03.006
3. Wolfson AR, Zhou L, Li Y, Phadke NA, Chow OA, Blumenthal KG. Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome identified in the electronic health record allergy module. J Allergy Clin Immunol Pract. 2019;7(2):633-640. doi:10.1016/j.jaip.2018.08.013
4. Sasidharanpillai S, Govindan A, Riyaz N, et al. Drug reaction with eosinophilia and systemic symptoms (DRESS): a histopathology based analysis. Indian J Dermatol Venereol Leprol. 2016;82(1):28. doi:10.4103/0378-6323.168934
5. Kardaun SH, Sekula P, Valeyrie‐Allanore L, et al. Drug reaction with eosinophilia and systemic symptoms (DRESS): an original multisystem adverse drug reaction. Results from the prospective RegiSCAR study. Br J Dermatol. 2013;169(5):1071-1080. doi:10.1111/bjd.12501
6. Koomdee N, Pratoomwun J, Jantararoungtong T, et al. Association of HLA-A and HLA-B alleles with lamotrigine-induced cutaneous adverse drug reactions in the Thai population. Front Pharmacol. 2017;8. doi:10.3389/fphar.2017.00879
7. Yang C-W, Cho Y-T, Hsieh Y-C, Hsu S-H, Chen K-L, Chu C-Y. The interferon-γ-induced protein 10/CXCR3 axis is associated with human herpesvirus-6 reactivation and the development of sequelae in drug reaction with eosinophilia and systemic symptoms. Br J Dermatol. 2020;183(5):909-919. doi:10.1111/bjd.18942
8. Ruffilli I, Ferrari SM, Colaci M, Ferri C, Fallahi P, Antonelli A. IP-10 in autoimmune thyroiditis. Horm Metab Res. 2014;46(9):597-602. doi:10.1055/s-0034-1382053
9. Kano Y, Tohyama M, Aihara M, et al. Sequelae in 145 patients with drug-induced hypersensitivity syndrome/drug reaction with eosinophilia and systemic symptoms: survey conducted by the Asian Research Committee on Severe Cutaneous Adverse Reactions (ASCAR). J Dermatol. 2015;42(3):276-282. doi:10.1111/1346-8138.12770
10. Cacoub P, Musette P, Descamps V, et al. The DRESS syndrome: a literature review. Am J Med. 2011;124(7):588-597. doi:10.1016/j.amjmed.2011.01.017
11. Bommersbach TJ, Lapid MI, Leung JG, Cunningham JL, Rummans TA, Kung S. Management of psychotropic drug-induced dress syndrome: a systematic review. Mayo Clin Proc. 2016;91(6):787-801. doi:10.1016/j.mayocp.2016.03.006
12. Nguyen E, Yanes D, Imadojemu S, Kroshinsky D. Evaluation of cyclosporine for the treatment of DRESS syndrome. JAMA Dermatol. 2020;156(6):704-706. doi:10.1001/jamadermatol.2020.0048
13. Joseph RM, Hunter AL, Ray DW, Dixon WG. Systemic glucocorticoid therapy and adrenal insufficiency in adults: a systematic review. Semin Arthritis Rheum. 2016;46(1):133-141. doi:10.1016/j.semarthrit.2016.03.001
14. Jamilloux Y, Liozon E, Pugnet G, et al. Recovery of adrenal function after long-term glucocorticoid therapy for giant cell arteritis: a cohort study. PLoS ONE. 2013;8(7):e68713. doi:10.1371/journal.pone.0068713
1. RegiSCAR. Accessed June 3, 2022. http://www.regiscar.org
2. Shiohara T, Mizukawa Y. Drug-induced hypersensitivity syndrome (DiHS)/drug reaction with eosinophilia and systemic symptoms (DRESS): an update in 2019. Allergol Int. 2019;68(3):301-308. doi:10.1016/j.alit.2019.03.006
3. Wolfson AR, Zhou L, Li Y, Phadke NA, Chow OA, Blumenthal KG. Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome identified in the electronic health record allergy module. J Allergy Clin Immunol Pract. 2019;7(2):633-640. doi:10.1016/j.jaip.2018.08.013
4. Sasidharanpillai S, Govindan A, Riyaz N, et al. Drug reaction with eosinophilia and systemic symptoms (DRESS): a histopathology based analysis. Indian J Dermatol Venereol Leprol. 2016;82(1):28. doi:10.4103/0378-6323.168934
5. Kardaun SH, Sekula P, Valeyrie‐Allanore L, et al. Drug reaction with eosinophilia and systemic symptoms (DRESS): an original multisystem adverse drug reaction. Results from the prospective RegiSCAR study. Br J Dermatol. 2013;169(5):1071-1080. doi:10.1111/bjd.12501
6. Koomdee N, Pratoomwun J, Jantararoungtong T, et al. Association of HLA-A and HLA-B alleles with lamotrigine-induced cutaneous adverse drug reactions in the Thai population. Front Pharmacol. 2017;8. doi:10.3389/fphar.2017.00879
7. Yang C-W, Cho Y-T, Hsieh Y-C, Hsu S-H, Chen K-L, Chu C-Y. The interferon-γ-induced protein 10/CXCR3 axis is associated with human herpesvirus-6 reactivation and the development of sequelae in drug reaction with eosinophilia and systemic symptoms. Br J Dermatol. 2020;183(5):909-919. doi:10.1111/bjd.18942
8. Ruffilli I, Ferrari SM, Colaci M, Ferri C, Fallahi P, Antonelli A. IP-10 in autoimmune thyroiditis. Horm Metab Res. 2014;46(9):597-602. doi:10.1055/s-0034-1382053
9. Kano Y, Tohyama M, Aihara M, et al. Sequelae in 145 patients with drug-induced hypersensitivity syndrome/drug reaction with eosinophilia and systemic symptoms: survey conducted by the Asian Research Committee on Severe Cutaneous Adverse Reactions (ASCAR). J Dermatol. 2015;42(3):276-282. doi:10.1111/1346-8138.12770
10. Cacoub P, Musette P, Descamps V, et al. The DRESS syndrome: a literature review. Am J Med. 2011;124(7):588-597. doi:10.1016/j.amjmed.2011.01.017
11. Bommersbach TJ, Lapid MI, Leung JG, Cunningham JL, Rummans TA, Kung S. Management of psychotropic drug-induced dress syndrome: a systematic review. Mayo Clin Proc. 2016;91(6):787-801. doi:10.1016/j.mayocp.2016.03.006
12. Nguyen E, Yanes D, Imadojemu S, Kroshinsky D. Evaluation of cyclosporine for the treatment of DRESS syndrome. JAMA Dermatol. 2020;156(6):704-706. doi:10.1001/jamadermatol.2020.0048
13. Joseph RM, Hunter AL, Ray DW, Dixon WG. Systemic glucocorticoid therapy and adrenal insufficiency in adults: a systematic review. Semin Arthritis Rheum. 2016;46(1):133-141. doi:10.1016/j.semarthrit.2016.03.001
14. Jamilloux Y, Liozon E, Pugnet G, et al. Recovery of adrenal function after long-term glucocorticoid therapy for giant cell arteritis: a cohort study. PLoS ONE. 2013;8(7):e68713. doi:10.1371/journal.pone.0068713
Federal Health Care Data Trends 2022: HIV Care in the VA
- Backus L, Czarnogorski M, Yip G, et al. HIV care continuum applied to the US Department of Veterans Affairs: HIV virologic outcomes in an integrated health care system. J Acquir Immune Defic Syndr. 2015;69(4):474-480. http://doi.org/10.1097/QAI.0000000000000615
- VA HIV Testing Information for Health Care Providers. US Department of Veterans Affairs. January 2021. Accessed March 4, 2022. https://www.hiv.va.gov/pdf/GetChecked-FactSheet-Providers-2021-508.pdf
- Associated Press. Judge rules US Military can’t discharge HIV-positive troops. ABC News. Published April 10, 2022. Accessed May 4, 2022. https://abcnews.go.com/Health/wireStory/judge-rules-us-military-discharge-hiv-positive-troops-84000771
- Bokhour BG, Bolton RE, Asch SM, et al. How should we organize care for patients with human immunodeficiency virus and comorbidities? A multisite qualitative study of human immunodeficiency virus care in the United States Department of Veterans Affairs. Med Care. 2021;59(8):727-735. http://doi.org/10.1097/MLR.0000000000001563
- Goulet JL, Fultz SL, Rimland D, et al. Aging and infectious diseases: do patterns of comorbidity vary by HIV status, age, and HIV severity? Clin Infect Dis. 2007;45(12):1593-1601. http://doi.org/10.1086/523577
- Backus L, Czarnogorski M, Yip G, et al. HIV care continuum applied to the US Department of Veterans Affairs: HIV virologic outcomes in an integrated health care system. J Acquir Immune Defic Syndr. 2015;69(4):474-480. http://doi.org/10.1097/QAI.0000000000000615
- VA HIV Testing Information for Health Care Providers. US Department of Veterans Affairs. January 2021. Accessed March 4, 2022. https://www.hiv.va.gov/pdf/GetChecked-FactSheet-Providers-2021-508.pdf
- Associated Press. Judge rules US Military can’t discharge HIV-positive troops. ABC News. Published April 10, 2022. Accessed May 4, 2022. https://abcnews.go.com/Health/wireStory/judge-rules-us-military-discharge-hiv-positive-troops-84000771
- Bokhour BG, Bolton RE, Asch SM, et al. How should we organize care for patients with human immunodeficiency virus and comorbidities? A multisite qualitative study of human immunodeficiency virus care in the United States Department of Veterans Affairs. Med Care. 2021;59(8):727-735. http://doi.org/10.1097/MLR.0000000000001563
- Goulet JL, Fultz SL, Rimland D, et al. Aging and infectious diseases: do patterns of comorbidity vary by HIV status, age, and HIV severity? Clin Infect Dis. 2007;45(12):1593-1601. http://doi.org/10.1086/523577
- Backus L, Czarnogorski M, Yip G, et al. HIV care continuum applied to the US Department of Veterans Affairs: HIV virologic outcomes in an integrated health care system. J Acquir Immune Defic Syndr. 2015;69(4):474-480. http://doi.org/10.1097/QAI.0000000000000615
- VA HIV Testing Information for Health Care Providers. US Department of Veterans Affairs. January 2021. Accessed March 4, 2022. https://www.hiv.va.gov/pdf/GetChecked-FactSheet-Providers-2021-508.pdf
- Associated Press. Judge rules US Military can’t discharge HIV-positive troops. ABC News. Published April 10, 2022. Accessed May 4, 2022. https://abcnews.go.com/Health/wireStory/judge-rules-us-military-discharge-hiv-positive-troops-84000771
- Bokhour BG, Bolton RE, Asch SM, et al. How should we organize care for patients with human immunodeficiency virus and comorbidities? A multisite qualitative study of human immunodeficiency virus care in the United States Department of Veterans Affairs. Med Care. 2021;59(8):727-735. http://doi.org/10.1097/MLR.0000000000001563
- Goulet JL, Fultz SL, Rimland D, et al. Aging and infectious diseases: do patterns of comorbidity vary by HIV status, age, and HIV severity? Clin Infect Dis. 2007;45(12):1593-1601. http://doi.org/10.1086/523577
Federal Health Care Data Trends 2022: Respiratory Illnesses
- Federal Register. Presumptive service connection for respiratory conditions due to exposure to particulate matter. Published August 5, 2021. Accessed April 6, 2022. https://www.govinfo.gov/content/pkg/FR-2021-08-05/pdf/2021-16693.pdf
- Rivera AC, Powell TM, Boyko EJ, et al. New-onset asthma and combat deployment: findings from the Millennium Cohort Study. Am J Epidemiol. 2018;187(10):2136-2144.
- Rinne ST, Elwy AR, Liu CF et al. Implementation of guideline-based therapy for chronic obstructive pulmonary disease: differences between men and women veterans. Chron Respir Dis. 2017;14(4):385-391. http://doi.org/10.1177/1479972317702141
- Greiner B, Ottwell R, Corcoran A, Hartwell M. Smoking and physical activity patterns of US Military veterans with chronic obstructive pulmonary disease: an analysis of 2017 behavioral risk factor surveillance system. Mil Med. 2021;186:e1-5. http://doi.org/10.1093/milmed/usaa330
- Federal Register. Presumptive service connection for respiratory conditions due to exposure to particulate matter. Published August 5, 2021. Accessed April 6, 2022. https://www.govinfo.gov/content/pkg/FR-2021-08-05/pdf/2021-16693.pdf
- Rivera AC, Powell TM, Boyko EJ, et al. New-onset asthma and combat deployment: findings from the Millennium Cohort Study. Am J Epidemiol. 2018;187(10):2136-2144.
- Rinne ST, Elwy AR, Liu CF et al. Implementation of guideline-based therapy for chronic obstructive pulmonary disease: differences between men and women veterans. Chron Respir Dis. 2017;14(4):385-391. http://doi.org/10.1177/1479972317702141
- Greiner B, Ottwell R, Corcoran A, Hartwell M. Smoking and physical activity patterns of US Military veterans with chronic obstructive pulmonary disease: an analysis of 2017 behavioral risk factor surveillance system. Mil Med. 2021;186:e1-5. http://doi.org/10.1093/milmed/usaa330
- Federal Register. Presumptive service connection for respiratory conditions due to exposure to particulate matter. Published August 5, 2021. Accessed April 6, 2022. https://www.govinfo.gov/content/pkg/FR-2021-08-05/pdf/2021-16693.pdf
- Rivera AC, Powell TM, Boyko EJ, et al. New-onset asthma and combat deployment: findings from the Millennium Cohort Study. Am J Epidemiol. 2018;187(10):2136-2144.
- Rinne ST, Elwy AR, Liu CF et al. Implementation of guideline-based therapy for chronic obstructive pulmonary disease: differences between men and women veterans. Chron Respir Dis. 2017;14(4):385-391. http://doi.org/10.1177/1479972317702141
- Greiner B, Ottwell R, Corcoran A, Hartwell M. Smoking and physical activity patterns of US Military veterans with chronic obstructive pulmonary disease: an analysis of 2017 behavioral risk factor surveillance system. Mil Med. 2021;186:e1-5. http://doi.org/10.1093/milmed/usaa330