A case of cold, purple toes

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A case of cold, purple toes

Purple toes

A punch-biopsy was performed on the left second toe where the erythema was the most intense. It demonstrated classic findings for pernio: superficial and deep perivascular lymphocytic inflammation and papillary dermal edema on the acral surface.

Pernio, alternatively known as chilblains, is characterized by erythema, violaceous changes, and swelling at acral sites (especially the toes or fingers). There can also be blistering, pain/tenderness, and itch. Pernio results in an abnormal localized inflammatory response to nonfreezing cold and is more common in damp climates. Pernio may also occur in occupational settings where patients handle frozen food. When a patient presents with the classic findings and consistent history, biopsy is not strictly necessary, but can aid in a definitive diagnosis.

The pathogenesis of pernio is not clearly understood. Inflammation secondary to vasospasm and type I interferon immune response to repeated or chronic cold exposure likely play a significant role. Symptoms can arise within 24 hours of exposure and resolve just as quickly. However, persistent and repeated exposure can also trigger ongoing symptoms that last for weeks.

As with most autoinflammatory conditions, pernio has a proclivity to affect younger women. It also affects children and the elderly. Because it is an inflammatory response to nonfreezing cold temperatures, the disease tends to occur during autumn in patients who live in homes without central heating.

A diagnosis of idiopathic pernio necessitates excluding several other similar, cold-induced entities. These include acrocyanosis (due to erythromelalgia, anorexia, medications), Raynaud phenomenon, cryoglobulinemia, cold urticaria, and chilblain lupus (among others). Pernio tends to lack other clinical findings such as true retiform purpura.

Of note, during the COVID-19 pandemic, physicians identified a spike in the incidence of pernio-like acral eruptions. This phenomenon has been coined “COVID toes.” While the direct temporal and causal relationships between COVID-19 and the observed eruption has not been clearly established, any patient who presents with a new onset pernio-like eruption should receive a COVID-19 test to ensure proper precautions are followed.1

In our patient, the work-up did not show any evidence of other underlying conditions. As her symptoms were minimal, we provided reassurance and counseling on preventive measures such as keeping her hands and feet warm and dry. In cases where treatment is needed, high-potency topical corticosteroids can be utilized judiciously during flares to decrease local inflammation. (There is minimal concern for adverse effects due to the thicker skin on acral surfaces.) Another treatment option is oral nifedipine (20-60 mg/d). One double-blinded trial showed it can improve symptoms in up to 70% of patients.2

Clinical image courtesy of Jiasen Wang, MD; microscopy image courtesy of Shelly Stepenaskie, MD. Text courtesy of Jiasen Wang, MD, Aimee Smidt, MD, Shelly Stepenaskie, MD, Department of Dermatology, and Daniel Stulberg, MD, FAAFP, Department of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque.

References

1. Cappel MA, Cappel JA, Wetter DA. Pernio (Chilblains), SARS-CoV-2, and covid toes unified through cutaneous and systemic mechanisms. Mayo Clin Proc. 2021;96:989-1005. doi: 10.1016/j.mayocp.2021.01.009

2. Simon TD, Soep JB, Hollister JR. Pernio in pediatrics. Pediatrics. 2005;116:e472-e475. doi: 10.1542/peds.2004-2681

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Purple toes

A punch-biopsy was performed on the left second toe where the erythema was the most intense. It demonstrated classic findings for pernio: superficial and deep perivascular lymphocytic inflammation and papillary dermal edema on the acral surface.

Pernio, alternatively known as chilblains, is characterized by erythema, violaceous changes, and swelling at acral sites (especially the toes or fingers). There can also be blistering, pain/tenderness, and itch. Pernio results in an abnormal localized inflammatory response to nonfreezing cold and is more common in damp climates. Pernio may also occur in occupational settings where patients handle frozen food. When a patient presents with the classic findings and consistent history, biopsy is not strictly necessary, but can aid in a definitive diagnosis.

The pathogenesis of pernio is not clearly understood. Inflammation secondary to vasospasm and type I interferon immune response to repeated or chronic cold exposure likely play a significant role. Symptoms can arise within 24 hours of exposure and resolve just as quickly. However, persistent and repeated exposure can also trigger ongoing symptoms that last for weeks.

As with most autoinflammatory conditions, pernio has a proclivity to affect younger women. It also affects children and the elderly. Because it is an inflammatory response to nonfreezing cold temperatures, the disease tends to occur during autumn in patients who live in homes without central heating.

A diagnosis of idiopathic pernio necessitates excluding several other similar, cold-induced entities. These include acrocyanosis (due to erythromelalgia, anorexia, medications), Raynaud phenomenon, cryoglobulinemia, cold urticaria, and chilblain lupus (among others). Pernio tends to lack other clinical findings such as true retiform purpura.

Of note, during the COVID-19 pandemic, physicians identified a spike in the incidence of pernio-like acral eruptions. This phenomenon has been coined “COVID toes.” While the direct temporal and causal relationships between COVID-19 and the observed eruption has not been clearly established, any patient who presents with a new onset pernio-like eruption should receive a COVID-19 test to ensure proper precautions are followed.1

In our patient, the work-up did not show any evidence of other underlying conditions. As her symptoms were minimal, we provided reassurance and counseling on preventive measures such as keeping her hands and feet warm and dry. In cases where treatment is needed, high-potency topical corticosteroids can be utilized judiciously during flares to decrease local inflammation. (There is minimal concern for adverse effects due to the thicker skin on acral surfaces.) Another treatment option is oral nifedipine (20-60 mg/d). One double-blinded trial showed it can improve symptoms in up to 70% of patients.2

Clinical image courtesy of Jiasen Wang, MD; microscopy image courtesy of Shelly Stepenaskie, MD. Text courtesy of Jiasen Wang, MD, Aimee Smidt, MD, Shelly Stepenaskie, MD, Department of Dermatology, and Daniel Stulberg, MD, FAAFP, Department of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque.

Purple toes

A punch-biopsy was performed on the left second toe where the erythema was the most intense. It demonstrated classic findings for pernio: superficial and deep perivascular lymphocytic inflammation and papillary dermal edema on the acral surface.

Pernio, alternatively known as chilblains, is characterized by erythema, violaceous changes, and swelling at acral sites (especially the toes or fingers). There can also be blistering, pain/tenderness, and itch. Pernio results in an abnormal localized inflammatory response to nonfreezing cold and is more common in damp climates. Pernio may also occur in occupational settings where patients handle frozen food. When a patient presents with the classic findings and consistent history, biopsy is not strictly necessary, but can aid in a definitive diagnosis.

The pathogenesis of pernio is not clearly understood. Inflammation secondary to vasospasm and type I interferon immune response to repeated or chronic cold exposure likely play a significant role. Symptoms can arise within 24 hours of exposure and resolve just as quickly. However, persistent and repeated exposure can also trigger ongoing symptoms that last for weeks.

As with most autoinflammatory conditions, pernio has a proclivity to affect younger women. It also affects children and the elderly. Because it is an inflammatory response to nonfreezing cold temperatures, the disease tends to occur during autumn in patients who live in homes without central heating.

A diagnosis of idiopathic pernio necessitates excluding several other similar, cold-induced entities. These include acrocyanosis (due to erythromelalgia, anorexia, medications), Raynaud phenomenon, cryoglobulinemia, cold urticaria, and chilblain lupus (among others). Pernio tends to lack other clinical findings such as true retiform purpura.

Of note, during the COVID-19 pandemic, physicians identified a spike in the incidence of pernio-like acral eruptions. This phenomenon has been coined “COVID toes.” While the direct temporal and causal relationships between COVID-19 and the observed eruption has not been clearly established, any patient who presents with a new onset pernio-like eruption should receive a COVID-19 test to ensure proper precautions are followed.1

In our patient, the work-up did not show any evidence of other underlying conditions. As her symptoms were minimal, we provided reassurance and counseling on preventive measures such as keeping her hands and feet warm and dry. In cases where treatment is needed, high-potency topical corticosteroids can be utilized judiciously during flares to decrease local inflammation. (There is minimal concern for adverse effects due to the thicker skin on acral surfaces.) Another treatment option is oral nifedipine (20-60 mg/d). One double-blinded trial showed it can improve symptoms in up to 70% of patients.2

Clinical image courtesy of Jiasen Wang, MD; microscopy image courtesy of Shelly Stepenaskie, MD. Text courtesy of Jiasen Wang, MD, Aimee Smidt, MD, Shelly Stepenaskie, MD, Department of Dermatology, and Daniel Stulberg, MD, FAAFP, Department of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque.

References

1. Cappel MA, Cappel JA, Wetter DA. Pernio (Chilblains), SARS-CoV-2, and covid toes unified through cutaneous and systemic mechanisms. Mayo Clin Proc. 2021;96:989-1005. doi: 10.1016/j.mayocp.2021.01.009

2. Simon TD, Soep JB, Hollister JR. Pernio in pediatrics. Pediatrics. 2005;116:e472-e475. doi: 10.1542/peds.2004-2681

References

1. Cappel MA, Cappel JA, Wetter DA. Pernio (Chilblains), SARS-CoV-2, and covid toes unified through cutaneous and systemic mechanisms. Mayo Clin Proc. 2021;96:989-1005. doi: 10.1016/j.mayocp.2021.01.009

2. Simon TD, Soep JB, Hollister JR. Pernio in pediatrics. Pediatrics. 2005;116:e472-e475. doi: 10.1542/peds.2004-2681

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Harmonizing Magnetic Resonance Imaging Protocols for Veterans With Multiple Sclerosis

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Multiple sclerosis (MS) is a lifelong disease that affects about a million people in the United States.1,2 Since 1998 more than 45,000 veterans have been diagnosed with MS and about 20,000 are evaluated in the Veterans Health Administration (VHA) annually.3

Magnetic resonance imaging (MRI) is a cornerstone for the assessment of persons with multiple sclerosis (pwMS).4-6 MRI assists with disease diagnosis, allowing for timely therapeutic interventions and withthe evaluation of its progression, treatment effect, and safety. 4,5 MRI-based outcomes also are used as primary endpoints in clinical trials.4,5

MS has its clinical onset in early adulthood in most individuals and is diagnosed at a mean age of 30 years.7 As a result, pwMS may receive care and MRIs in different facilities during their lifetime. Mitigating interscan variabilities that can challenge intra- and interperson comparisons is crucial for accurate care. Radiologists may find it difficult to compare scans acquired in different facilities, as dissimilarities in acquisition protocols may mask or uncover focal disease, creating false negative or false positive findings. Moreover, lack of a standardized method to report MRI changes may compromise neurologists’ ability to correctly interpret scans and disease progression.

Accordingly, in October 2019, an international task force of neurologists, radiologists, MRI technologists, and imaging scientists with expertise in MS, including representatives from the VHA, worked together to update guidelines for imaging the brain, spinal cord, and optic nerve in pwMS.8,9 Recognizing the importance of this effort, the VHA Multiple Sclerosis Centers of Excellence (MSCoE), in collaboration with a team of subject matter expert neuroradiologists promptly committed to this effort, advocating the updated consensus recommendations, and favoring their dissemination within the VHA.10

As part of this commitment and dissemination effort, in this report we summarize the core points of the newly proposed MRI guidelines and ways to adapt them for use within the VHA. We then discuss key elements for their successful implementation and dissemination, specifically regarding the clinical operations of VHA.

Updated Guidelines

The 2021 MAGNIMS-CMSC-NAIMS Consensus Recommendations on the Use of MRI in Patients With Multiple Sclerosis covered a broad spectrum of recommendations related to MRI indication, acquisition, and interpretation in MS. The recommendations span 3 major areas: (1) indications for an MRI with/without contrast; (2) summary of the MRI protocol for radiologists and technologists; and (3) interpretation of MRI examinations.

MRI Scan at Different Timepoints of MS

There are 3 crucial milestones within a the lifespan of a pwMS that require an MRI to reach appropriate conclusions and avoid clinical errors. These include the initial diagnosis, the follow-up to monitor disease and/or treatment effect, and the assessment of medication safety.

In the interest of efficiency, MRI protocols may vary slightly depending on these clinical indications. The Table lists core sequences of the updated 2021 consensus recommendations at each timepoint along with the proposed alternatives or preferences from the VHA workgroup.



At the time of diagnosis, both brain and spine (cervical and thoracic) MRIs are recommended. Routine MRI of the optic nerve is considered optional at diagnosis. However, imaging the optic nerve may be useful in specific clinical scenarios when the optic nerve is selectively involved, and the diagnosis or etiology of an optic neuritis is not clear. A repeat brain MRI is advised every 6 to 12 months in patients with clinically or radiologically isolated syndrome who do not fulfill the diagnostic criteria of MS but present risk factors for conversion to MS or paraclinical features of it.

 

 



Once the diagnosis is established, brain MRI is recommended for follow-up and for surveillance of drug safety. Spinal cord and optic nerve MRIs are desirable but optional in the follow-up of pwMS and are not required for drug surveillance. Spinal cord MRIs are required at follow-up for patients whose progression cannot be explained by brain MRI features, or who manifest with recurrent spinal cord symptoms, or have spinal cord comorbidities. In these cases, spinal cord MRI also may assist with treatment decisions. Similarly, optic nerve MRI is necessary during follow-up only when optic nerve comorbidities are suspected or when there is progression or reoccurrence of optic nerve–related symptoms.

Brain MRIs are recommended for monitoring drug effect yearly (or at longer intervals, after a few years of disease stability). Conversely, a repeat brain MRI is advised after 6 months if nonsymptomatic radiological disease activity is discovered on surveillance scans.

Abbreviated but more frequent serial brain MRI protocols (eg, every 3 to 4 months) are recommended for pwMS treated with natalizumab and at high risk of developing progressive multifocal leukoencephalopathy (eg, pwMS who are John Cunningham virus [JCV]–positive, and have been treated with natalizumabfor ≥ 18 months, have a JCV antibody index > 0.9, or have a history of immunosuppression). A similar approach is recommended for carryover cases, such as those with high JCV antibody index who are switched to other immunosuppressive treatments.

MRI Field, Scan Resolution, and Coverage

Both 1.5-Tesla (1.5-T) and 3-T scans are believed to be equally effective in imaging pwMS, providing that the 1.5-T scans are good quality. Although imaging at < 1.5 T is not recommended due to suboptimal disease detection, the use of scanners > 3 T is equally discouraged outside the supervision of trained investigators. Signal-to-noise ratio and resolution are key factors impacting scan quality, and their optimization is prioritized over the number of sequences in the updated 2021 consensus recommendations. For brain imaging, a resolution of 1 mm3 isotropic is preferred for 3-dimensional (3D) imaging and slice thickness ≤ 3 mm without gap (≤ 5 mm with 10-30% gaps for diffusion-weighted imaging only) is recommended for 2D sequences. Images should cover the entire brain and as much of the cervical spine as possible; images should be prescribed axial for 2D or reformatted axial oblique for 3D using the subcallosal plane as reference. For spine imaging, sites should aim at an in-plane resolution of 1 mm2; using sagittal slices ≤ 3 mm thick and axial slices ≤ 5 mm thick, both with no gap. Scans should cover the entire cervical and thoracolumbar region inclusive of the conus. For the optic nerve images, slices should be ≤ 2 or 3 mm thick with an in-plane resolution of 1 mm2. Images should be aligned to the orientation of the optic nerve and chiasms, both of which should be entirely covered.

Postgadolinium Images Use

The discovery of the higher sensitivity of post-gadolinium (Gd) T1-weighted (T1-w) MRI relative to high iodine (88.1 g I) computed tomography scans in demonstrating contrast-enhancing MS lesions has revolutionized the way clinicians diagnose and monitor this disease.11 However, in recent years the role of postcontrast MRI has been debated, considering the potential safety concerns secondary to Gd tissue deposition. For this reason, an intentionally more judicious use of postcontrast MRI is proposed by the consensus recommendations. At disease diagnosis, the use of Gd is advisable to (1) show disease dissemination in time; (2) differentiate the diagnosis based on the Gd pattern; (3) predict short-term disease activity; and (4) characterize activity in the setting of progression. When monitoring pwMS, the use of Gd may be useful in the first year of follow-up, particularly if in the setting of low potency medications or for patients for whom the detection of one or more active lesions would lead to a change in disease-modifying agents. Gd also should be used to first, confirm a clinical exacerbation (if needed); second, further characterize a lesion suggestive of progressive multifocal encephalopathy or monitor this disease over time; and third, monitor lesion burden change in patients with large confluent lesions, the count of which otherwise may be difficult.

MRI During Pregnancy and Lactation

The consensus recommendations state that Gd contrast–enhanced MRI is not absolutely contraindicated during pregnancy, although its use should be limited to strictly necessary situations, particularly those involving differential diagnosis, such as cerebral venous thrombosis or monitoring of possibly enlarging lesion burden. The use of Gd is not contraindicated during lactation, as only a small proportion (< 0.4%) passes into the breast milk, leading to an exposure to < 1% of the permitted Gd dose for neonates.12,13

Harmonizing MRI Reports

The consensus recommendations propose reporting the exact lesion count on T2-weighted (T2-w) images when lesions are < 20, or specifying if the number of T2 lesions is between 20 and 50, between 50 and 100, or uncountable, eg, confluent large lesions. Similarly, for the spinal cord, the consensus recommendations propose reporting the exact lesion count on T2-w images when lesions are < 10, or otherwise report that > 10 lesions are seen.

The VHA workgroup proposed reporting a mild, moderate, or severe T2-lesion burden for a T2-lesion count < 20, between 20 and 50, and > 50, respectively. For follow-up MRIs, notation should be made if there is any change in lesion number, indicating the number of new lesions whenever possible. At each timepoint, the presence of active lesions on postcontrast images should be accurately defined.

 

 

Dissemination and Implementation

To implement and disseminate these proposed recommendations within the VHA, a workgroup of neurologists and radiologists was formed in late 2020. A review and discussion of the importance of each of the proposed MRI protocols for veterans with MS was held along with possible modifications to balance the intent of meeting standards of care with resources of individual US Department of Veterans Affairs (VA) medical centers and veterans’ needs. The final protocol recommendations were agreed on by group consensus.

In general, this VHA workgroup felt that the current adopted MRI protocols in several VA medical centers (based on previously proposed recommendations) were similar to the ones newly proposed and that implementing changes to meet the 2021 criteria would not be a major challenge.14,15 Possible regional and nonregional barriers were discussed. The result of these discussions led to a modified version of what could be considered more stringent guidelines to accommodate medical centers that had fewer imaging resources. This modified protocol offers a viable alternative that allows for minimizing heterogeneities while recognizing the capabilities of the available scanner fleet and meeting the needs of specific centers or veterans. Finally, the workgroup recognized a fundamental obstacle toward this harmonization process in the heterogeneity in vendors and scanner field strength, factors that have previously limited implementation.

The guidelines and proposed changes were then presented to the VA National Radiology Program Office, examined, and discussed for consensus. No changes were felt to be needed, and the recommendation to implement these guidelines in MS regional programs, whenever possible, was deemed appropriate.

At this time, a focused communication plan has been implemented to diffuse the use of this protocol at MS regional programs in the MSCoE network. We will work iteratively with individual sites to practically apply the guidelines, learn about challenges, and work through them to optimize local implementation.

Conclusions

Standardized MRI protocols are fundamental for the care of veterans with MS. Mitigating interscan variabilities should be recognized as a priority by scientific and clinical expert committees. Several guidelines have been developed over the years to standardize MRI acquisition protocols and interpretations, while updating the same to the latest discoveries.4,5,8,14,15 The VHA has been historically committed to these international efforts, with the goal to excel in the care of veterans with MS by providing access to state-of-the-art technologies. To this end, the initial Consortium of MS Centers MRI protocol was implemented in several MSCoE VA Regional Program sites a decade ago.14 Efforts continue to update protocol recommendations as needed and to promote their dissemination across the VHA enterprise.

This commentary is part of the continuous effort of the MSCoE to align with contemporary guidelines, apply the highest scientific standards, and achieve consistent outcomes for veterans with MS. For more important details of the clinical scenarios when additional/optional sequences or scans can be acquired, we advise the reader to refer to the 2021 MAGNIMS-CMSC-NAIMS Consensus Recommendations on the Use of MRI in Patients With Multiple Sclerosis.8

References

1. Wallin MT, Culpepper WJ, Campbell JD, et al. The prevalence of MS in the United States: A population-based estimate using health claims data. Neurology. 2019;92(10):e1029-e1040. doi:10.1212/WNL.0000000000007035

2. Nelson LM, Wallin MT, Marrie RA, et al. A new way to estimate neurologic disease prevalence in the United States: Illustrated with MS. Neurology. 2019;92(10):469-480. doi:10.1212/WNL.0000000000007044

3. Culpepper WJ, Wallin MT, Magder LS, et al. VHA Multiple Sclerosis Surveillance Registry and its similarities to other contemporary multiple sclerosis cohorts. J Rehabil Res Dev. 2015;52(3):263-272. doi:10.1682/JRRD.2014.07.0172

4. Wattjes MP, Rovira À, Miller D, et al. Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis--establishing disease prognosis and monitoring patients. Nat Rev Neurol. 2015;11(10):597-606. doi:10.1038/nrneurol.2015.157

5. Rovira À, Wattjes MP, Tintoré M, et al. Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-clinical implementation in the diagnostic process. Nat Rev Neurol. 2015;11(8):471-482. doi:10.1038/nrneurol.2015.106

6. Thompson AJ, Banwell BL, Barkhof F, et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol. 2018;17(2):162-173. doi:10.1016/S1474-4422(17)30470-2

7. Reich DS, Lucchinetti CF, Calabresi PA. Multiple sclerosis. N Engl J Med. 2018;378(2):169-180. doi:10.1056/NEJMra1401483

8. Wattjes MP, Ciccarelli O, Reich DS, et al. 2021 MAGNIMS-CMSC-NAIMS consensus recommendations on the use of MRI in patients with multiple sclerosis. Lancet Neurol. 2021;20(8):653-670. doi:10.1016/S1474-4422(21)00095-8

9. Saslow L, Li DKB, Halper J, et al. An International Standardized Magnetic Resonance Imaging Protocol for Diagnosis and Follow-up of Patients with Multiple Sclerosis: Advocacy, Dissemination, and Implementation Strategies. Int J MS Care. 2020;22(5):226-232. doi:10.7224/1537-2073.2020-094

10. Cameron MH, Haselkorn JK, Wallin MT. The Multiple Sclerosis Centers of Excellence: a model of excellence in the VA. Fed Pract. 2020;37(suppl 1):S6-S10.

11. Grossman RI, Gonzalez-Scarano F, Atlas SW, Galetta S, Silberberg DH. Multiple sclerosis: gadolinium enhancement in MR imaging. Radiology. 1986;161(3):721-725. doi:10.1148/radiology.161.3.3786722

12. European Society of Urogenital Radiology. ESUR guidelines on contrast agent, 10.0. March 2018. Accessed March 11, 2022. https://www.esur.org/fileadmin/content/2019/ESUR_Guidelines_10.0_Final_Version.pdf

13. Sundgren PC, Leander P. Is administration of gadolinium-based contrast media to pregnant women and small children justified?. J Magn Reson Imaging. 2011;34(4):750-757. doi:10.1002/jmri.22413

14. Simon JH, Li D, Traboulsee A, et al. Standardized MR imaging protocol for multiple sclerosis: Consortium of MS Centers consensus guidelines. AJNR Am J Neuroradiol. 2006;27(2):455-461.

15. Traboulsee A, Simon JH, Stone L, et al. Revised Recommendations of the Consortium of MS Centers Task Force for a Standardized MRI Protocol and Clinical Guidelines for the Diagnosis and Follow-Up of Multiple Sclerosis. AJNR Am J Neuroradiol. 2016;37(3):394-401. doi:10.3174/ajnr.A4539

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Francesca Bagnato, MD, PhDa,b,c; and Mitchell Wallin, MD, MPHa,d,e
Correspondence: Francesca Bagnato ([email protected])

 

aMultiple Sclerosis Center of Excellence East
bNashville Veterans Affairs Medical Center, Tennessee
cVanderbilt University Medical Center, Nashville, Tennessee
dWashington Veterans Affairs Medical Center, DC
eGeorge Washington University, Washington, DC

Author disclosures

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

Disclaimer

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

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Francesca Bagnato, MD, PhDa,b,c; and Mitchell Wallin, MD, MPHa,d,e
Correspondence: Francesca Bagnato ([email protected])

 

aMultiple Sclerosis Center of Excellence East
bNashville Veterans Affairs Medical Center, Tennessee
cVanderbilt University Medical Center, Nashville, Tennessee
dWashington Veterans Affairs Medical Center, DC
eGeorge Washington University, Washington, DC

Author disclosures

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

Disclaimer

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

Author and Disclosure Information

Francesca Bagnato, MD, PhDa,b,c; and Mitchell Wallin, MD, MPHa,d,e
Correspondence: Francesca Bagnato ([email protected])

 

aMultiple Sclerosis Center of Excellence East
bNashville Veterans Affairs Medical Center, Tennessee
cVanderbilt University Medical Center, Nashville, Tennessee
dWashington Veterans Affairs Medical Center, DC
eGeorge Washington University, Washington, DC

Author disclosures

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

Disclaimer

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

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Article PDF

Multiple sclerosis (MS) is a lifelong disease that affects about a million people in the United States.1,2 Since 1998 more than 45,000 veterans have been diagnosed with MS and about 20,000 are evaluated in the Veterans Health Administration (VHA) annually.3

Magnetic resonance imaging (MRI) is a cornerstone for the assessment of persons with multiple sclerosis (pwMS).4-6 MRI assists with disease diagnosis, allowing for timely therapeutic interventions and withthe evaluation of its progression, treatment effect, and safety. 4,5 MRI-based outcomes also are used as primary endpoints in clinical trials.4,5

MS has its clinical onset in early adulthood in most individuals and is diagnosed at a mean age of 30 years.7 As a result, pwMS may receive care and MRIs in different facilities during their lifetime. Mitigating interscan variabilities that can challenge intra- and interperson comparisons is crucial for accurate care. Radiologists may find it difficult to compare scans acquired in different facilities, as dissimilarities in acquisition protocols may mask or uncover focal disease, creating false negative or false positive findings. Moreover, lack of a standardized method to report MRI changes may compromise neurologists’ ability to correctly interpret scans and disease progression.

Accordingly, in October 2019, an international task force of neurologists, radiologists, MRI technologists, and imaging scientists with expertise in MS, including representatives from the VHA, worked together to update guidelines for imaging the brain, spinal cord, and optic nerve in pwMS.8,9 Recognizing the importance of this effort, the VHA Multiple Sclerosis Centers of Excellence (MSCoE), in collaboration with a team of subject matter expert neuroradiologists promptly committed to this effort, advocating the updated consensus recommendations, and favoring their dissemination within the VHA.10

As part of this commitment and dissemination effort, in this report we summarize the core points of the newly proposed MRI guidelines and ways to adapt them for use within the VHA. We then discuss key elements for their successful implementation and dissemination, specifically regarding the clinical operations of VHA.

Updated Guidelines

The 2021 MAGNIMS-CMSC-NAIMS Consensus Recommendations on the Use of MRI in Patients With Multiple Sclerosis covered a broad spectrum of recommendations related to MRI indication, acquisition, and interpretation in MS. The recommendations span 3 major areas: (1) indications for an MRI with/without contrast; (2) summary of the MRI protocol for radiologists and technologists; and (3) interpretation of MRI examinations.

MRI Scan at Different Timepoints of MS

There are 3 crucial milestones within a the lifespan of a pwMS that require an MRI to reach appropriate conclusions and avoid clinical errors. These include the initial diagnosis, the follow-up to monitor disease and/or treatment effect, and the assessment of medication safety.

In the interest of efficiency, MRI protocols may vary slightly depending on these clinical indications. The Table lists core sequences of the updated 2021 consensus recommendations at each timepoint along with the proposed alternatives or preferences from the VHA workgroup.



At the time of diagnosis, both brain and spine (cervical and thoracic) MRIs are recommended. Routine MRI of the optic nerve is considered optional at diagnosis. However, imaging the optic nerve may be useful in specific clinical scenarios when the optic nerve is selectively involved, and the diagnosis or etiology of an optic neuritis is not clear. A repeat brain MRI is advised every 6 to 12 months in patients with clinically or radiologically isolated syndrome who do not fulfill the diagnostic criteria of MS but present risk factors for conversion to MS or paraclinical features of it.

 

 



Once the diagnosis is established, brain MRI is recommended for follow-up and for surveillance of drug safety. Spinal cord and optic nerve MRIs are desirable but optional in the follow-up of pwMS and are not required for drug surveillance. Spinal cord MRIs are required at follow-up for patients whose progression cannot be explained by brain MRI features, or who manifest with recurrent spinal cord symptoms, or have spinal cord comorbidities. In these cases, spinal cord MRI also may assist with treatment decisions. Similarly, optic nerve MRI is necessary during follow-up only when optic nerve comorbidities are suspected or when there is progression or reoccurrence of optic nerve–related symptoms.

Brain MRIs are recommended for monitoring drug effect yearly (or at longer intervals, after a few years of disease stability). Conversely, a repeat brain MRI is advised after 6 months if nonsymptomatic radiological disease activity is discovered on surveillance scans.

Abbreviated but more frequent serial brain MRI protocols (eg, every 3 to 4 months) are recommended for pwMS treated with natalizumab and at high risk of developing progressive multifocal leukoencephalopathy (eg, pwMS who are John Cunningham virus [JCV]–positive, and have been treated with natalizumabfor ≥ 18 months, have a JCV antibody index > 0.9, or have a history of immunosuppression). A similar approach is recommended for carryover cases, such as those with high JCV antibody index who are switched to other immunosuppressive treatments.

MRI Field, Scan Resolution, and Coverage

Both 1.5-Tesla (1.5-T) and 3-T scans are believed to be equally effective in imaging pwMS, providing that the 1.5-T scans are good quality. Although imaging at < 1.5 T is not recommended due to suboptimal disease detection, the use of scanners > 3 T is equally discouraged outside the supervision of trained investigators. Signal-to-noise ratio and resolution are key factors impacting scan quality, and their optimization is prioritized over the number of sequences in the updated 2021 consensus recommendations. For brain imaging, a resolution of 1 mm3 isotropic is preferred for 3-dimensional (3D) imaging and slice thickness ≤ 3 mm without gap (≤ 5 mm with 10-30% gaps for diffusion-weighted imaging only) is recommended for 2D sequences. Images should cover the entire brain and as much of the cervical spine as possible; images should be prescribed axial for 2D or reformatted axial oblique for 3D using the subcallosal plane as reference. For spine imaging, sites should aim at an in-plane resolution of 1 mm2; using sagittal slices ≤ 3 mm thick and axial slices ≤ 5 mm thick, both with no gap. Scans should cover the entire cervical and thoracolumbar region inclusive of the conus. For the optic nerve images, slices should be ≤ 2 or 3 mm thick with an in-plane resolution of 1 mm2. Images should be aligned to the orientation of the optic nerve and chiasms, both of which should be entirely covered.

Postgadolinium Images Use

The discovery of the higher sensitivity of post-gadolinium (Gd) T1-weighted (T1-w) MRI relative to high iodine (88.1 g I) computed tomography scans in demonstrating contrast-enhancing MS lesions has revolutionized the way clinicians diagnose and monitor this disease.11 However, in recent years the role of postcontrast MRI has been debated, considering the potential safety concerns secondary to Gd tissue deposition. For this reason, an intentionally more judicious use of postcontrast MRI is proposed by the consensus recommendations. At disease diagnosis, the use of Gd is advisable to (1) show disease dissemination in time; (2) differentiate the diagnosis based on the Gd pattern; (3) predict short-term disease activity; and (4) characterize activity in the setting of progression. When monitoring pwMS, the use of Gd may be useful in the first year of follow-up, particularly if in the setting of low potency medications or for patients for whom the detection of one or more active lesions would lead to a change in disease-modifying agents. Gd also should be used to first, confirm a clinical exacerbation (if needed); second, further characterize a lesion suggestive of progressive multifocal encephalopathy or monitor this disease over time; and third, monitor lesion burden change in patients with large confluent lesions, the count of which otherwise may be difficult.

MRI During Pregnancy and Lactation

The consensus recommendations state that Gd contrast–enhanced MRI is not absolutely contraindicated during pregnancy, although its use should be limited to strictly necessary situations, particularly those involving differential diagnosis, such as cerebral venous thrombosis or monitoring of possibly enlarging lesion burden. The use of Gd is not contraindicated during lactation, as only a small proportion (< 0.4%) passes into the breast milk, leading to an exposure to < 1% of the permitted Gd dose for neonates.12,13

Harmonizing MRI Reports

The consensus recommendations propose reporting the exact lesion count on T2-weighted (T2-w) images when lesions are < 20, or specifying if the number of T2 lesions is between 20 and 50, between 50 and 100, or uncountable, eg, confluent large lesions. Similarly, for the spinal cord, the consensus recommendations propose reporting the exact lesion count on T2-w images when lesions are < 10, or otherwise report that > 10 lesions are seen.

The VHA workgroup proposed reporting a mild, moderate, or severe T2-lesion burden for a T2-lesion count < 20, between 20 and 50, and > 50, respectively. For follow-up MRIs, notation should be made if there is any change in lesion number, indicating the number of new lesions whenever possible. At each timepoint, the presence of active lesions on postcontrast images should be accurately defined.

 

 

Dissemination and Implementation

To implement and disseminate these proposed recommendations within the VHA, a workgroup of neurologists and radiologists was formed in late 2020. A review and discussion of the importance of each of the proposed MRI protocols for veterans with MS was held along with possible modifications to balance the intent of meeting standards of care with resources of individual US Department of Veterans Affairs (VA) medical centers and veterans’ needs. The final protocol recommendations were agreed on by group consensus.

In general, this VHA workgroup felt that the current adopted MRI protocols in several VA medical centers (based on previously proposed recommendations) were similar to the ones newly proposed and that implementing changes to meet the 2021 criteria would not be a major challenge.14,15 Possible regional and nonregional barriers were discussed. The result of these discussions led to a modified version of what could be considered more stringent guidelines to accommodate medical centers that had fewer imaging resources. This modified protocol offers a viable alternative that allows for minimizing heterogeneities while recognizing the capabilities of the available scanner fleet and meeting the needs of specific centers or veterans. Finally, the workgroup recognized a fundamental obstacle toward this harmonization process in the heterogeneity in vendors and scanner field strength, factors that have previously limited implementation.

The guidelines and proposed changes were then presented to the VA National Radiology Program Office, examined, and discussed for consensus. No changes were felt to be needed, and the recommendation to implement these guidelines in MS regional programs, whenever possible, was deemed appropriate.

At this time, a focused communication plan has been implemented to diffuse the use of this protocol at MS regional programs in the MSCoE network. We will work iteratively with individual sites to practically apply the guidelines, learn about challenges, and work through them to optimize local implementation.

Conclusions

Standardized MRI protocols are fundamental for the care of veterans with MS. Mitigating interscan variabilities should be recognized as a priority by scientific and clinical expert committees. Several guidelines have been developed over the years to standardize MRI acquisition protocols and interpretations, while updating the same to the latest discoveries.4,5,8,14,15 The VHA has been historically committed to these international efforts, with the goal to excel in the care of veterans with MS by providing access to state-of-the-art technologies. To this end, the initial Consortium of MS Centers MRI protocol was implemented in several MSCoE VA Regional Program sites a decade ago.14 Efforts continue to update protocol recommendations as needed and to promote their dissemination across the VHA enterprise.

This commentary is part of the continuous effort of the MSCoE to align with contemporary guidelines, apply the highest scientific standards, and achieve consistent outcomes for veterans with MS. For more important details of the clinical scenarios when additional/optional sequences or scans can be acquired, we advise the reader to refer to the 2021 MAGNIMS-CMSC-NAIMS Consensus Recommendations on the Use of MRI in Patients With Multiple Sclerosis.8

Multiple sclerosis (MS) is a lifelong disease that affects about a million people in the United States.1,2 Since 1998 more than 45,000 veterans have been diagnosed with MS and about 20,000 are evaluated in the Veterans Health Administration (VHA) annually.3

Magnetic resonance imaging (MRI) is a cornerstone for the assessment of persons with multiple sclerosis (pwMS).4-6 MRI assists with disease diagnosis, allowing for timely therapeutic interventions and withthe evaluation of its progression, treatment effect, and safety. 4,5 MRI-based outcomes also are used as primary endpoints in clinical trials.4,5

MS has its clinical onset in early adulthood in most individuals and is diagnosed at a mean age of 30 years.7 As a result, pwMS may receive care and MRIs in different facilities during their lifetime. Mitigating interscan variabilities that can challenge intra- and interperson comparisons is crucial for accurate care. Radiologists may find it difficult to compare scans acquired in different facilities, as dissimilarities in acquisition protocols may mask or uncover focal disease, creating false negative or false positive findings. Moreover, lack of a standardized method to report MRI changes may compromise neurologists’ ability to correctly interpret scans and disease progression.

Accordingly, in October 2019, an international task force of neurologists, radiologists, MRI technologists, and imaging scientists with expertise in MS, including representatives from the VHA, worked together to update guidelines for imaging the brain, spinal cord, and optic nerve in pwMS.8,9 Recognizing the importance of this effort, the VHA Multiple Sclerosis Centers of Excellence (MSCoE), in collaboration with a team of subject matter expert neuroradiologists promptly committed to this effort, advocating the updated consensus recommendations, and favoring their dissemination within the VHA.10

As part of this commitment and dissemination effort, in this report we summarize the core points of the newly proposed MRI guidelines and ways to adapt them for use within the VHA. We then discuss key elements for their successful implementation and dissemination, specifically regarding the clinical operations of VHA.

Updated Guidelines

The 2021 MAGNIMS-CMSC-NAIMS Consensus Recommendations on the Use of MRI in Patients With Multiple Sclerosis covered a broad spectrum of recommendations related to MRI indication, acquisition, and interpretation in MS. The recommendations span 3 major areas: (1) indications for an MRI with/without contrast; (2) summary of the MRI protocol for radiologists and technologists; and (3) interpretation of MRI examinations.

MRI Scan at Different Timepoints of MS

There are 3 crucial milestones within a the lifespan of a pwMS that require an MRI to reach appropriate conclusions and avoid clinical errors. These include the initial diagnosis, the follow-up to monitor disease and/or treatment effect, and the assessment of medication safety.

In the interest of efficiency, MRI protocols may vary slightly depending on these clinical indications. The Table lists core sequences of the updated 2021 consensus recommendations at each timepoint along with the proposed alternatives or preferences from the VHA workgroup.



At the time of diagnosis, both brain and spine (cervical and thoracic) MRIs are recommended. Routine MRI of the optic nerve is considered optional at diagnosis. However, imaging the optic nerve may be useful in specific clinical scenarios when the optic nerve is selectively involved, and the diagnosis or etiology of an optic neuritis is not clear. A repeat brain MRI is advised every 6 to 12 months in patients with clinically or radiologically isolated syndrome who do not fulfill the diagnostic criteria of MS but present risk factors for conversion to MS or paraclinical features of it.

 

 



Once the diagnosis is established, brain MRI is recommended for follow-up and for surveillance of drug safety. Spinal cord and optic nerve MRIs are desirable but optional in the follow-up of pwMS and are not required for drug surveillance. Spinal cord MRIs are required at follow-up for patients whose progression cannot be explained by brain MRI features, or who manifest with recurrent spinal cord symptoms, or have spinal cord comorbidities. In these cases, spinal cord MRI also may assist with treatment decisions. Similarly, optic nerve MRI is necessary during follow-up only when optic nerve comorbidities are suspected or when there is progression or reoccurrence of optic nerve–related symptoms.

Brain MRIs are recommended for monitoring drug effect yearly (or at longer intervals, after a few years of disease stability). Conversely, a repeat brain MRI is advised after 6 months if nonsymptomatic radiological disease activity is discovered on surveillance scans.

Abbreviated but more frequent serial brain MRI protocols (eg, every 3 to 4 months) are recommended for pwMS treated with natalizumab and at high risk of developing progressive multifocal leukoencephalopathy (eg, pwMS who are John Cunningham virus [JCV]–positive, and have been treated with natalizumabfor ≥ 18 months, have a JCV antibody index > 0.9, or have a history of immunosuppression). A similar approach is recommended for carryover cases, such as those with high JCV antibody index who are switched to other immunosuppressive treatments.

MRI Field, Scan Resolution, and Coverage

Both 1.5-Tesla (1.5-T) and 3-T scans are believed to be equally effective in imaging pwMS, providing that the 1.5-T scans are good quality. Although imaging at < 1.5 T is not recommended due to suboptimal disease detection, the use of scanners > 3 T is equally discouraged outside the supervision of trained investigators. Signal-to-noise ratio and resolution are key factors impacting scan quality, and their optimization is prioritized over the number of sequences in the updated 2021 consensus recommendations. For brain imaging, a resolution of 1 mm3 isotropic is preferred for 3-dimensional (3D) imaging and slice thickness ≤ 3 mm without gap (≤ 5 mm with 10-30% gaps for diffusion-weighted imaging only) is recommended for 2D sequences. Images should cover the entire brain and as much of the cervical spine as possible; images should be prescribed axial for 2D or reformatted axial oblique for 3D using the subcallosal plane as reference. For spine imaging, sites should aim at an in-plane resolution of 1 mm2; using sagittal slices ≤ 3 mm thick and axial slices ≤ 5 mm thick, both with no gap. Scans should cover the entire cervical and thoracolumbar region inclusive of the conus. For the optic nerve images, slices should be ≤ 2 or 3 mm thick with an in-plane resolution of 1 mm2. Images should be aligned to the orientation of the optic nerve and chiasms, both of which should be entirely covered.

Postgadolinium Images Use

The discovery of the higher sensitivity of post-gadolinium (Gd) T1-weighted (T1-w) MRI relative to high iodine (88.1 g I) computed tomography scans in demonstrating contrast-enhancing MS lesions has revolutionized the way clinicians diagnose and monitor this disease.11 However, in recent years the role of postcontrast MRI has been debated, considering the potential safety concerns secondary to Gd tissue deposition. For this reason, an intentionally more judicious use of postcontrast MRI is proposed by the consensus recommendations. At disease diagnosis, the use of Gd is advisable to (1) show disease dissemination in time; (2) differentiate the diagnosis based on the Gd pattern; (3) predict short-term disease activity; and (4) characterize activity in the setting of progression. When monitoring pwMS, the use of Gd may be useful in the first year of follow-up, particularly if in the setting of low potency medications or for patients for whom the detection of one or more active lesions would lead to a change in disease-modifying agents. Gd also should be used to first, confirm a clinical exacerbation (if needed); second, further characterize a lesion suggestive of progressive multifocal encephalopathy or monitor this disease over time; and third, monitor lesion burden change in patients with large confluent lesions, the count of which otherwise may be difficult.

MRI During Pregnancy and Lactation

The consensus recommendations state that Gd contrast–enhanced MRI is not absolutely contraindicated during pregnancy, although its use should be limited to strictly necessary situations, particularly those involving differential diagnosis, such as cerebral venous thrombosis or monitoring of possibly enlarging lesion burden. The use of Gd is not contraindicated during lactation, as only a small proportion (< 0.4%) passes into the breast milk, leading to an exposure to < 1% of the permitted Gd dose for neonates.12,13

Harmonizing MRI Reports

The consensus recommendations propose reporting the exact lesion count on T2-weighted (T2-w) images when lesions are < 20, or specifying if the number of T2 lesions is between 20 and 50, between 50 and 100, or uncountable, eg, confluent large lesions. Similarly, for the spinal cord, the consensus recommendations propose reporting the exact lesion count on T2-w images when lesions are < 10, or otherwise report that > 10 lesions are seen.

The VHA workgroup proposed reporting a mild, moderate, or severe T2-lesion burden for a T2-lesion count < 20, between 20 and 50, and > 50, respectively. For follow-up MRIs, notation should be made if there is any change in lesion number, indicating the number of new lesions whenever possible. At each timepoint, the presence of active lesions on postcontrast images should be accurately defined.

 

 

Dissemination and Implementation

To implement and disseminate these proposed recommendations within the VHA, a workgroup of neurologists and radiologists was formed in late 2020. A review and discussion of the importance of each of the proposed MRI protocols for veterans with MS was held along with possible modifications to balance the intent of meeting standards of care with resources of individual US Department of Veterans Affairs (VA) medical centers and veterans’ needs. The final protocol recommendations were agreed on by group consensus.

In general, this VHA workgroup felt that the current adopted MRI protocols in several VA medical centers (based on previously proposed recommendations) were similar to the ones newly proposed and that implementing changes to meet the 2021 criteria would not be a major challenge.14,15 Possible regional and nonregional barriers were discussed. The result of these discussions led to a modified version of what could be considered more stringent guidelines to accommodate medical centers that had fewer imaging resources. This modified protocol offers a viable alternative that allows for minimizing heterogeneities while recognizing the capabilities of the available scanner fleet and meeting the needs of specific centers or veterans. Finally, the workgroup recognized a fundamental obstacle toward this harmonization process in the heterogeneity in vendors and scanner field strength, factors that have previously limited implementation.

The guidelines and proposed changes were then presented to the VA National Radiology Program Office, examined, and discussed for consensus. No changes were felt to be needed, and the recommendation to implement these guidelines in MS regional programs, whenever possible, was deemed appropriate.

At this time, a focused communication plan has been implemented to diffuse the use of this protocol at MS regional programs in the MSCoE network. We will work iteratively with individual sites to practically apply the guidelines, learn about challenges, and work through them to optimize local implementation.

Conclusions

Standardized MRI protocols are fundamental for the care of veterans with MS. Mitigating interscan variabilities should be recognized as a priority by scientific and clinical expert committees. Several guidelines have been developed over the years to standardize MRI acquisition protocols and interpretations, while updating the same to the latest discoveries.4,5,8,14,15 The VHA has been historically committed to these international efforts, with the goal to excel in the care of veterans with MS by providing access to state-of-the-art technologies. To this end, the initial Consortium of MS Centers MRI protocol was implemented in several MSCoE VA Regional Program sites a decade ago.14 Efforts continue to update protocol recommendations as needed and to promote their dissemination across the VHA enterprise.

This commentary is part of the continuous effort of the MSCoE to align with contemporary guidelines, apply the highest scientific standards, and achieve consistent outcomes for veterans with MS. For more important details of the clinical scenarios when additional/optional sequences or scans can be acquired, we advise the reader to refer to the 2021 MAGNIMS-CMSC-NAIMS Consensus Recommendations on the Use of MRI in Patients With Multiple Sclerosis.8

References

1. Wallin MT, Culpepper WJ, Campbell JD, et al. The prevalence of MS in the United States: A population-based estimate using health claims data. Neurology. 2019;92(10):e1029-e1040. doi:10.1212/WNL.0000000000007035

2. Nelson LM, Wallin MT, Marrie RA, et al. A new way to estimate neurologic disease prevalence in the United States: Illustrated with MS. Neurology. 2019;92(10):469-480. doi:10.1212/WNL.0000000000007044

3. Culpepper WJ, Wallin MT, Magder LS, et al. VHA Multiple Sclerosis Surveillance Registry and its similarities to other contemporary multiple sclerosis cohorts. J Rehabil Res Dev. 2015;52(3):263-272. doi:10.1682/JRRD.2014.07.0172

4. Wattjes MP, Rovira À, Miller D, et al. Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis--establishing disease prognosis and monitoring patients. Nat Rev Neurol. 2015;11(10):597-606. doi:10.1038/nrneurol.2015.157

5. Rovira À, Wattjes MP, Tintoré M, et al. Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-clinical implementation in the diagnostic process. Nat Rev Neurol. 2015;11(8):471-482. doi:10.1038/nrneurol.2015.106

6. Thompson AJ, Banwell BL, Barkhof F, et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol. 2018;17(2):162-173. doi:10.1016/S1474-4422(17)30470-2

7. Reich DS, Lucchinetti CF, Calabresi PA. Multiple sclerosis. N Engl J Med. 2018;378(2):169-180. doi:10.1056/NEJMra1401483

8. Wattjes MP, Ciccarelli O, Reich DS, et al. 2021 MAGNIMS-CMSC-NAIMS consensus recommendations on the use of MRI in patients with multiple sclerosis. Lancet Neurol. 2021;20(8):653-670. doi:10.1016/S1474-4422(21)00095-8

9. Saslow L, Li DKB, Halper J, et al. An International Standardized Magnetic Resonance Imaging Protocol for Diagnosis and Follow-up of Patients with Multiple Sclerosis: Advocacy, Dissemination, and Implementation Strategies. Int J MS Care. 2020;22(5):226-232. doi:10.7224/1537-2073.2020-094

10. Cameron MH, Haselkorn JK, Wallin MT. The Multiple Sclerosis Centers of Excellence: a model of excellence in the VA. Fed Pract. 2020;37(suppl 1):S6-S10.

11. Grossman RI, Gonzalez-Scarano F, Atlas SW, Galetta S, Silberberg DH. Multiple sclerosis: gadolinium enhancement in MR imaging. Radiology. 1986;161(3):721-725. doi:10.1148/radiology.161.3.3786722

12. European Society of Urogenital Radiology. ESUR guidelines on contrast agent, 10.0. March 2018. Accessed March 11, 2022. https://www.esur.org/fileadmin/content/2019/ESUR_Guidelines_10.0_Final_Version.pdf

13. Sundgren PC, Leander P. Is administration of gadolinium-based contrast media to pregnant women and small children justified?. J Magn Reson Imaging. 2011;34(4):750-757. doi:10.1002/jmri.22413

14. Simon JH, Li D, Traboulsee A, et al. Standardized MR imaging protocol for multiple sclerosis: Consortium of MS Centers consensus guidelines. AJNR Am J Neuroradiol. 2006;27(2):455-461.

15. Traboulsee A, Simon JH, Stone L, et al. Revised Recommendations of the Consortium of MS Centers Task Force for a Standardized MRI Protocol and Clinical Guidelines for the Diagnosis and Follow-Up of Multiple Sclerosis. AJNR Am J Neuroradiol. 2016;37(3):394-401. doi:10.3174/ajnr.A4539

References

1. Wallin MT, Culpepper WJ, Campbell JD, et al. The prevalence of MS in the United States: A population-based estimate using health claims data. Neurology. 2019;92(10):e1029-e1040. doi:10.1212/WNL.0000000000007035

2. Nelson LM, Wallin MT, Marrie RA, et al. A new way to estimate neurologic disease prevalence in the United States: Illustrated with MS. Neurology. 2019;92(10):469-480. doi:10.1212/WNL.0000000000007044

3. Culpepper WJ, Wallin MT, Magder LS, et al. VHA Multiple Sclerosis Surveillance Registry and its similarities to other contemporary multiple sclerosis cohorts. J Rehabil Res Dev. 2015;52(3):263-272. doi:10.1682/JRRD.2014.07.0172

4. Wattjes MP, Rovira À, Miller D, et al. Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis--establishing disease prognosis and monitoring patients. Nat Rev Neurol. 2015;11(10):597-606. doi:10.1038/nrneurol.2015.157

5. Rovira À, Wattjes MP, Tintoré M, et al. Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-clinical implementation in the diagnostic process. Nat Rev Neurol. 2015;11(8):471-482. doi:10.1038/nrneurol.2015.106

6. Thompson AJ, Banwell BL, Barkhof F, et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol. 2018;17(2):162-173. doi:10.1016/S1474-4422(17)30470-2

7. Reich DS, Lucchinetti CF, Calabresi PA. Multiple sclerosis. N Engl J Med. 2018;378(2):169-180. doi:10.1056/NEJMra1401483

8. Wattjes MP, Ciccarelli O, Reich DS, et al. 2021 MAGNIMS-CMSC-NAIMS consensus recommendations on the use of MRI in patients with multiple sclerosis. Lancet Neurol. 2021;20(8):653-670. doi:10.1016/S1474-4422(21)00095-8

9. Saslow L, Li DKB, Halper J, et al. An International Standardized Magnetic Resonance Imaging Protocol for Diagnosis and Follow-up of Patients with Multiple Sclerosis: Advocacy, Dissemination, and Implementation Strategies. Int J MS Care. 2020;22(5):226-232. doi:10.7224/1537-2073.2020-094

10. Cameron MH, Haselkorn JK, Wallin MT. The Multiple Sclerosis Centers of Excellence: a model of excellence in the VA. Fed Pract. 2020;37(suppl 1):S6-S10.

11. Grossman RI, Gonzalez-Scarano F, Atlas SW, Galetta S, Silberberg DH. Multiple sclerosis: gadolinium enhancement in MR imaging. Radiology. 1986;161(3):721-725. doi:10.1148/radiology.161.3.3786722

12. European Society of Urogenital Radiology. ESUR guidelines on contrast agent, 10.0. March 2018. Accessed March 11, 2022. https://www.esur.org/fileadmin/content/2019/ESUR_Guidelines_10.0_Final_Version.pdf

13. Sundgren PC, Leander P. Is administration of gadolinium-based contrast media to pregnant women and small children justified?. J Magn Reson Imaging. 2011;34(4):750-757. doi:10.1002/jmri.22413

14. Simon JH, Li D, Traboulsee A, et al. Standardized MR imaging protocol for multiple sclerosis: Consortium of MS Centers consensus guidelines. AJNR Am J Neuroradiol. 2006;27(2):455-461.

15. Traboulsee A, Simon JH, Stone L, et al. Revised Recommendations of the Consortium of MS Centers Task Force for a Standardized MRI Protocol and Clinical Guidelines for the Diagnosis and Follow-Up of Multiple Sclerosis. AJNR Am J Neuroradiol. 2016;37(3):394-401. doi:10.3174/ajnr.A4539

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Impact of Clinical Pharmacists on Access to Care in an Epilepsy Clinic

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Epilepsy affects about 1% of the world population and is one of the most burdensome in terms of disability-adjusted life-years.1,2 Veterans are at increased risk of developing epilepsy when compared with the general population due to a variety of factors, including a higher frequency of traumatic brain injuries.3 A recent study from the US Centers for Disease Control and Prevention found that veterans who developed epilepsy during their service not only had a higher rate of mental and physical comorbidities, but also were 2.6 times more likely to die compared with veterans without epilepsy.4

Oral antiseizure medications (ASM) remain the mainstay of outpatient epilepsy treatment. Patterns of ASM use are complex within the US Department of Veterans Affairs (VA) patient population, particularly within patients at the Epilepsy Centers of Excellence (ECoE). For example, many patients are transitioned from older ASMs with greater adverse effects (AEs) to better tolerated newer generation ASMs or polytherapy regimens with complex pharmacokinetic profiles and drug interactions.5 Multiple factors are considered when choosing an ASM, including age, sex, epilepsy/seizure type, comorbidities, past medication trials, AEs, and drug interactions. The complex pharmacologic profile of both older and newer ASMs can confound the optimal management of epilepsy, and suboptimal management can lead to neurologic, psychological, physical, and social consequences, including sudden unexplained death in epilepsy.6,7 Psychiatric and behavioral problems are seen in up to 30% of patients with newly diagnosed epilepsy and 50% in those with pharmacoresistant epilepsy.8 Early screening, detection, and treatment for psychiatric comorbidities are an integral part of evidence-based care in epilepsy.

Being familiar with ASM AEs and comorbid conditions such as anxiety and depression can allow for quick identification and intervention to improve safety and quality of life. A 2007 population-based study found that measures of suicidality had a strong association with epilepsy, and performing mental health screenings, such as the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Screener (GAD-7), and the Brief Irritability Test (BITe), can assist in identifying those patients at risk.9

During the COVID-19 pandemic, it has become increasingly clear that the health care sector is facing increasing pressure. The combination of patient acuity as well as critical health care professional (HCP) shortages may be of particular concern in certain specialty clinics where access to practitioners may already be limited. While this is a multifaceted problem, a pragmatic approach would be to increase the use of clinicians, such as clinical pharmacist practitioners (CPPs).

The William S. Middleton Memorial Veterans Hospital (WSMVH) in Madison, Wisconsin, is 1 of 17 VA ECoE sites. The VA ECoE provides high-quality, comprehensive epilepsy evaluation and care to veterans. In fiscal year (FY) 2020, the 17 sites provided care to 5544 veterans.10 The WSMVH epilepsy clinic sees about 400 veterans each year, receiving referrals from other VA medical centers, and prescribes ASMs, neuromodulation devices, and resective surgeries for epilepsy. The multidisciplinary team consists of an epileptologist, neurophysiology fellow, psychiatrist, nurse practitioner, CPP, and neurology residents. The WSMVH epilepsy clinic has employed CPPs at their highest level of clinical practice authority since 1991.

The WSMVH epilepsy clinic is open 4 hours once weekly. The clinic offers fourteen 30-minute appointment slots either in person or via telehealth. The epileptologist reviews patient charts prior to clinic and assigns each patient to the appropriate HCP. When making the determination to assign a patient to a CPP or pharmacy resident, the epileptologist considers current treatment response, mental health issues as well as medication-related concerns (eg, potential pharmacokinetic/pharmacodynamic interactions, AEs, adherence). The CPP can independently lead routine follow-up appointments and address acute as well as ongoing ASM therapy needs. Pharmacy residents are fully integrated into the clinic workflow, seeing assigned patients independently when appropriate but ensuring that each patient has access to either the epileptologist, CPP, or psychiatrist prior to finalizing the treatment plan. The epilepsy clinic rotation is required for first-year pharmacy residents and is an elective rotation in the second year.

While this level of service has been in place at WSMVH for more than 3 decades, a systematic evaluation on workload and clinical impact has not been conducted.11 The purpose of this analysis is to evaluate and quantify the breadth and impact of CPPs in this specialty setting. The WSMVH/University of Wisconsin-Madison institutional review board deemed this quality improvement study exempt from review.

Methods

This study was a single-center, retrospective, quality improvement project evaluating the impact of a CPP and clinical pharmacy resident have within the WSMVH epilepsy clinic on access to epilepsy care and medication management. The secondary outcomes were the types of interventions made by the CPP and mental health screening performed.

Between October 2019 and May 2021, 591 appointments were scheduled at the epilepsy clinic for medical, psychiatry, neurosurgery, and pharmacy residents; the epileptologist; CPP; psychiatrist; epilepsy fellow; or nurse practitioner. A retrospective chart review of the 446 patients seen by either a CPP or clinical pharmacy resident from October 2017 to June 2021 assessed pharmacist-led interventions made during each appointment. The following treatment interventions were assessed: medication initiations/discontinuations, dose changes, and nonpharmacologic interventions, including education. Additionally, any mental health screenings completed, consultations to other specialties placed, or laboratory tests ordered were documented.

Results

In the epilepsy clinic, 591 appointments were completed from October 1, 2019, to May 31, 2021. Of those appointments, 255 (43.2%) were led by pharmacists; 156 (26.4%) by pharmacy residents and 99 (16.8%) by CPPs (16.8%) (Table 1). Appointments held by other HCPs included 139 (23.5%) by nurse practitioner, 108 (18.3%) by the attending epileptologist, 41 (6.9%) by fellows, 22 (3.7%) by psychiatrists, 19 (3.2) by medical residents, 4 (0.7%) by neurosurgery residents, and 3 (0.5%) by psychiatry residents. Medication interventions included 55 (11.8%) dose increases, 52 (11.1%) medication initiations, and 32 (6.9%) dose decreases (Table 2). Mental health screening was conducted for 229 (49.1%) patients with PHQ-9, 225 (48.3%) with GAD-7, and 111 (23.8) with BITe. Some veterans received multiple screeners at a clinic visit, and others received none (most commonly during telephone follow-up appointments). The mean time spent with each patient was 27 minutes.

Pharmacist-Led Interventions

Discussion

Within the private sector, access to a neurologist or epileptologist is limited, and the US Health Resources and Services Administration National Center for Workforce Analysis projected that the demand for these specialists would exceed supply by 2025.12 In 2017, Kobau and colleagues found that only 1 in 10 adults with epilepsy saw a neurologist within the year, similar to previous years. As demand for specialty care exceeds capacity, additional members of the health care team are needed to ensure timely, effective, and safe care for patients with epilepsy.

One way to increase health care access is to use an interdisciplinary model of care, integrating pharmacists in the management of epilepsy in collaboration with other HCPs, a strategy that has been endorsed by the American Epilepsy Society (AES).13 As experts in pharmacotherapy, pharmacists can uniquely provide medication management for this complex disease as ASMs continue to remain the first-line treatment.14

In addition to increased demand for specialty services, there also is an increase in health care spending with a push to limit additional spending. In 2016, despite similar health care use in other high-income countries, health care costs are approximately twice as much in the US, mostly driven by prices of pharmaceuticals and administrative costs.15 Bond and colleagues evaluated 9380 Medicare patients with epilepsy or seizure disorders throughout US hospitals in 1998.16 They found that hospitals without pharmacist-managed ASM therapy had Medicare charges that were 11.2% higher than hospitals with pharmacist-managed therapy. Many factors contribute to the rise in cost, including an increase in laboratory charges for serum drug assays, legal litigations related to drug AEs, and an increase in hospital length of stay (about 14 additional days). Similar to pharmacist-managed anticoagulation, vancomycin, and aminoglycoside therapy, direct involvement of pharmacists with ASM management decreases health care costs.14

The American Academy of Neurology (AAN) developed 8 epilepsy quality measures: seizure type and frequency, etiology or epilepsy syndrome, review of electroencephalogram and imaging findings, counseling of ASM AEs, consideration of surgical treatment of intractable epilepsy, epilepsy-specific safety issues, and counseling for women of childbearing potential on contraception and pregnancy. These measures serve as a guide for evidence-based therapy and standardization of epilepsy care.17 Additionally, bone health, depression, and awareness of sudden unexplained death in epilepsy are increasing in importance when providing quality epilepsy care. Wasade and colleagues surveyed Michigan neurologists and found that only 37% of the respondents addressed ASM AEs at every clinic visit. They also found that just 26% of responding neurologists inquire about depression at every clinic visit, and 17% inquire only once a year. In our practice, screening for depression, suicidality, and counseling on ASM AEs are routinely provided by CPPs during each clinic visit.

Within the VA, CPPs are granted a scope of practice that allows them to perform comprehensive medication management, including but not limited to, prescribing medication regimens, ordering laboratory tests and diagnostic studies, and performing physical assessments. In our practice, the most common interventions made by CPPs were patient-focused counseling, bone health screening, mental health triage and referral, and ASM regimen adjustments. Assessment of ASM adherence also was noted to be an active area of CPP-patient engagement. These most common interventions align well with the AAN quality measures. It is now well recognized that nonadherence in patients with epilepsy not only can lead to loss of seizure control, but injury and death as well.18,19 Malek and colleagues found that patients with epilepsy who are nonadherent to their ASM regimens have a 3-times greater risk of mortality compared with those who were adherent.20 Adherence to the appropriate medication regimen in epilepsy can result in seizure-freedom in 70% of patients; therefore, exploring nonadherence in this population is crucial.21

The COVID-19 pandemic precipitated changes to the health care industry, including the heavy reliance on telehealth. Following the Wisconsin stay-at-home order on March 25, 2020, all nonessential face-to-face appointments at the WSMVH halted. The epilepsy clinic transitioned the majority of appointments to either telephone or VA Video Connect (VVC), which is a program on the veteran’s computer, tablet, or mobile device upon which the appointment is held. Although it became more challenging to obtain a mental health screening during virtual appointments and the frequency did decrease, patients were asked for a subjective report of their mood during each telephone or video appointment. The AES has since put forth a statement of support for the continuation of telehealth following the COVID-19 pandemic due to the flexibility that telehealth provides people with epilepsy. Additionally, the AES taskforce provided suggestions for continued pharmacist engagement within the epilepsy care team, including the triaging of patients, management of ASMs, and involvement in the delivery of telehealth.

WSMVH clinic CPPs and clinical pharmacy residents saw a high proportion of all veterans, which allowed the epileptologist time to focus on new consults and higher acuity cases. At WSMVH, screening for depression with the PHQ-9 must be completed at least annually for any patient regardless of their involvement in mental health care. This typically occurs at a patient’s annual primary care visit. Patients who receive epilepsy clinic care will often receive more frequent and thorough depression screening with the PHQ-9, in addition to screening for anxiety, irritability, and sleep disorders. CPPs ability to identify, evaluate, and triage psychiatric concerns ensures that the patient has support and care.

Limitations

There is limited research available on the impact that a CPP has on medication management and access to care within an epilepsy clinic, especially those with a scope of practice. One limitation of this retrospective chart review is that the appropriateness of each medication intervention was not assessed; therefore, the impact of each intervention was not captured. Additionally, this single-site study of veterans may not reflect the general population. However, we believe that this model could be adapted to nonspecialty neurology practices. Of note the scope of this study did not include a comparison of medication interventions for the other specialties within the clinic.

Conclusions

The integration of a CPP and pharmacy residents into the WSMVH epilepsy clinic has allowed for greater and more timely access to care, managing 43.2% of all patients within the clinic during the study. Pharmacy scope of practice allows for collaborative autonomy with ASM adjustments and for the epileptologist time to focus on higher acuity cases. In settings where pharmacists do not have prescriptive status, medication management services, such as comprehensive medication reviews, identifying drug-drug and drug-disease interactions, recognizing adherence barriers, and medication safety surveillance, can still be performed to improve management of epilepsy.

Acknowledgments

Ellina S. Seckel, PharmD, BCACP, DPLA; Anita Kashyap, PharmD, BCACP; Brooke Keenan, NP; Leigh Heffner, PharmD

References

1. Stafstrom CE, Carmant L. Seizures and epilepsy: an overview for neuroscientists. Cold Spring Harb Perspect Med. 2015;5(6):a022426. doi:10.1101/cshperspect.a022426

2. GBD 2017 US Neurological Disorders Collaborators, Feigin VL, Vos T, et al. Burden of neurological disorders across the US from 1990-2017: a global burden of disease study. JAMA Neurol. 2021;78(2):165-176. doi:10.1001/jamaneurol.2020.4152

3. Rehman R, Kelly PR, Husain AM, Tran TT. Characteristics of veterans diagnosed with seizures within Veterans Health Administration. J Rehabil Res Dev. 2015;52(7):751-762. doi:10.1682/JRRD.2014.10.0241

4. Pugh MJ, Van Cott AC, Amuan M, et al. Epilepsy among Iraq and Afghanistan War veterans - United States, 2002-2015. MMWR Morb Mortal Wkly Rep. 2016;65(44):1224-1227. doi:10.15585/mmwr.mm6544a5

5. Rohde NN, Baca CB, Van Cott AC, Parko KL, Amuan ME, Pugh MJ. Antiepileptic drug prescribing patterns in Iraq and Afghanistan war veterans with epilepsy. Epilepsy Behav. 2015;46:133-139. doi:10.1016/j.yebeh.2015.03.027

6. Laxer KD, Trinka E, Hirsch LJ, et al. The consequences of refractory epilepsy and its treatment. Epilepsy Behav. 2014;37:59-70. doi:10.1016/j.yebeh.2014.05.031

7. Devinsky O, Hesdorffer DC, Thurman DJ, Lhatoo S, Richerson G. Sudden unexpected death in epilepsy: epidemiology, mechanisms, and prevention. Lancet Neurol. 2016;15(10):1075-1088. doi:10.1016/S1474-4422(16)30158-2

8. Tolchin B, Hirsch LJ, LaFrance WC Jr. Neuropsychiatric aspects of epilepsy. Psychiatr Clin North Am. 2020;43(2):275-290. doi:10.1016/j.psc.2020.02.002

9. Rai D, Kerr MP, McManus S, Jordanova V, Lewis G, Brugha TS. Epilepsy and psychiatric comorbidity: a nationally representative population-based study. Epilepsia. 2012;53(6):1095-1103. doi:10.1111/j.1528-1167.2012.03500.x

10. US Department of Veterans Affairs. Epilepsy Centers of Excellence. Annual report fiscal year 2020. Accessed March 11, 2022. https://www.epilepsy.va.gov/docs/ECoENational_AnnualReportFY20_web_508c.pdf

11. Fogg A, Staufenberg EF, Small I, Bhattacharya D. An exploratory study of primary care pharmacist-led epilepsy consultations. Int J Pharm Pract. 2012;20(5):294-302. doi:10.1111/j.2042-7174.2012.00207.x

12. Kobau R, Sapkota S, Pennell PB, Croft JB. Epilepsy by the numbers - from the US Centers for Disease Control and Prevention: six in 10 adults with active epilepsy saw a neurologist or epilepsy specialist in the past year, United States, 2017. Epilepsy Behav. 2020;112:107348. doi:10.1016/j.yebeh.2020.107348

13. Shawahna R. Development of key performance indicators to capture in measuring the impact of pharmacists in caring for patients with epilepsy in primary healthcare: A Delphi consensual study. Epilepsy Behav. 2019;98(pt A):129-138. doi:10.1016/j.yebeh.2019.07.034

14. Asadi-Pooya AA, Beniczky S, Rubboli G, Sperling MR, Rampp S, Perucca E. A pragmatic algorithm to select appropriate antiseizure medications in patients with epilepsy. Epilepsia. 2020;61(8):1668-1677. doi:10.1111/epi.16610

15. Papanicolas I, Woskie LR, Jha AK. Health Care Spending in the United States and Other High-Income Countries. JAMA. 2018;319(10):1024-1039. doi:10.1001/jama.2018.1150

16. Bond CA, Raehl CL. Clinical and economic outcomes of pharmacist-managed aminoglycoside or vancomycin therapy. Am J Health Syst Pharm. 2005;62(15):1596-1605. doi:10.2146/ajhp040555

17. Wasade VS, Spanaki M, Iyengar R, Barkley GL, Schultz L. AAN Epilepsy Quality Measures in clinical practice: a survey of neurologists. Epilepsy Behav. 2012;24(4):468-473. doi:10.1016/j.yebeh.2012.05.017

18. Hovinga CA, Asato MR, Manjunath R, et al. Association of non-adherence to antiepileptic drugs and seizures, quality of life, and productivity: survey of patients with epilepsy and physicians. Epilepsy Behav. 2008;13(2):316-322. doi:10.1016/j.yebeh.2008.03.009

19. Faught RE, Weiner JR, Guérin A, Cunnington MC, Duh MS. Impact of nonadherence to antiepileptic drugs on health care utilization and costs: findings from the RANSOM study. Epilepsia. 2009;50(3):501-509. doi:10.1111/j.1528-1167.2008.01794.x

20. Malek N, Heath CA, Greene J. A review of medication adherence in people with epilepsy. Acta Neurol Scand. 2017;135(5):507-515. doi:10.1111/ane.12703

21. O’ Rourke G, O’ Brien JJ. Identifying the barriers to antiepileptic drug adherence among adults with epilepsy. Seizure. 2017;45:160-168. doi:10.1016/j.seizure.2016.12.006

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Maralena Taube, PharmDa; Robert Kotloski, MD, PhDa; Ariela Karasov, MDa; John C. Jones, MDa; and Barry Gidal, PharmDa,b
Correspondence:
Barry Gidal ([email protected])

aWilliam S. Middleton Memorial Veterans Hospital, Madison, Wisconsin
bUniversity of Wisconsin School of Pharmacy, Madison

Author disclosures

Barry Gidal has received honoraria for consulting from UCB, Eisai, Greenwich, SK LifeScience, Aquestive. Other authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent

This quality improvement study was determined to be exempt from review by the William S. Middleton Memorial Veterans Hospital/University of Wisconsin-Madison Institutiuonal Review Board.

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Maralena Taube, PharmDa; Robert Kotloski, MD, PhDa; Ariela Karasov, MDa; John C. Jones, MDa; and Barry Gidal, PharmDa,b
Correspondence:
Barry Gidal ([email protected])

aWilliam S. Middleton Memorial Veterans Hospital, Madison, Wisconsin
bUniversity of Wisconsin School of Pharmacy, Madison

Author disclosures

Barry Gidal has received honoraria for consulting from UCB, Eisai, Greenwich, SK LifeScience, Aquestive. Other authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent

This quality improvement study was determined to be exempt from review by the William S. Middleton Memorial Veterans Hospital/University of Wisconsin-Madison Institutiuonal Review Board.

Author and Disclosure Information

Maralena Taube, PharmDa; Robert Kotloski, MD, PhDa; Ariela Karasov, MDa; John C. Jones, MDa; and Barry Gidal, PharmDa,b
Correspondence:
Barry Gidal ([email protected])

aWilliam S. Middleton Memorial Veterans Hospital, Madison, Wisconsin
bUniversity of Wisconsin School of Pharmacy, Madison

Author disclosures

Barry Gidal has received honoraria for consulting from UCB, Eisai, Greenwich, SK LifeScience, Aquestive. Other authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent

This quality improvement study was determined to be exempt from review by the William S. Middleton Memorial Veterans Hospital/University of Wisconsin-Madison Institutiuonal Review Board.

Article PDF
Article PDF

Epilepsy affects about 1% of the world population and is one of the most burdensome in terms of disability-adjusted life-years.1,2 Veterans are at increased risk of developing epilepsy when compared with the general population due to a variety of factors, including a higher frequency of traumatic brain injuries.3 A recent study from the US Centers for Disease Control and Prevention found that veterans who developed epilepsy during their service not only had a higher rate of mental and physical comorbidities, but also were 2.6 times more likely to die compared with veterans without epilepsy.4

Oral antiseizure medications (ASM) remain the mainstay of outpatient epilepsy treatment. Patterns of ASM use are complex within the US Department of Veterans Affairs (VA) patient population, particularly within patients at the Epilepsy Centers of Excellence (ECoE). For example, many patients are transitioned from older ASMs with greater adverse effects (AEs) to better tolerated newer generation ASMs or polytherapy regimens with complex pharmacokinetic profiles and drug interactions.5 Multiple factors are considered when choosing an ASM, including age, sex, epilepsy/seizure type, comorbidities, past medication trials, AEs, and drug interactions. The complex pharmacologic profile of both older and newer ASMs can confound the optimal management of epilepsy, and suboptimal management can lead to neurologic, psychological, physical, and social consequences, including sudden unexplained death in epilepsy.6,7 Psychiatric and behavioral problems are seen in up to 30% of patients with newly diagnosed epilepsy and 50% in those with pharmacoresistant epilepsy.8 Early screening, detection, and treatment for psychiatric comorbidities are an integral part of evidence-based care in epilepsy.

Being familiar with ASM AEs and comorbid conditions such as anxiety and depression can allow for quick identification and intervention to improve safety and quality of life. A 2007 population-based study found that measures of suicidality had a strong association with epilepsy, and performing mental health screenings, such as the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Screener (GAD-7), and the Brief Irritability Test (BITe), can assist in identifying those patients at risk.9

During the COVID-19 pandemic, it has become increasingly clear that the health care sector is facing increasing pressure. The combination of patient acuity as well as critical health care professional (HCP) shortages may be of particular concern in certain specialty clinics where access to practitioners may already be limited. While this is a multifaceted problem, a pragmatic approach would be to increase the use of clinicians, such as clinical pharmacist practitioners (CPPs).

The William S. Middleton Memorial Veterans Hospital (WSMVH) in Madison, Wisconsin, is 1 of 17 VA ECoE sites. The VA ECoE provides high-quality, comprehensive epilepsy evaluation and care to veterans. In fiscal year (FY) 2020, the 17 sites provided care to 5544 veterans.10 The WSMVH epilepsy clinic sees about 400 veterans each year, receiving referrals from other VA medical centers, and prescribes ASMs, neuromodulation devices, and resective surgeries for epilepsy. The multidisciplinary team consists of an epileptologist, neurophysiology fellow, psychiatrist, nurse practitioner, CPP, and neurology residents. The WSMVH epilepsy clinic has employed CPPs at their highest level of clinical practice authority since 1991.

The WSMVH epilepsy clinic is open 4 hours once weekly. The clinic offers fourteen 30-minute appointment slots either in person or via telehealth. The epileptologist reviews patient charts prior to clinic and assigns each patient to the appropriate HCP. When making the determination to assign a patient to a CPP or pharmacy resident, the epileptologist considers current treatment response, mental health issues as well as medication-related concerns (eg, potential pharmacokinetic/pharmacodynamic interactions, AEs, adherence). The CPP can independently lead routine follow-up appointments and address acute as well as ongoing ASM therapy needs. Pharmacy residents are fully integrated into the clinic workflow, seeing assigned patients independently when appropriate but ensuring that each patient has access to either the epileptologist, CPP, or psychiatrist prior to finalizing the treatment plan. The epilepsy clinic rotation is required for first-year pharmacy residents and is an elective rotation in the second year.

While this level of service has been in place at WSMVH for more than 3 decades, a systematic evaluation on workload and clinical impact has not been conducted.11 The purpose of this analysis is to evaluate and quantify the breadth and impact of CPPs in this specialty setting. The WSMVH/University of Wisconsin-Madison institutional review board deemed this quality improvement study exempt from review.

Methods

This study was a single-center, retrospective, quality improvement project evaluating the impact of a CPP and clinical pharmacy resident have within the WSMVH epilepsy clinic on access to epilepsy care and medication management. The secondary outcomes were the types of interventions made by the CPP and mental health screening performed.

Between October 2019 and May 2021, 591 appointments were scheduled at the epilepsy clinic for medical, psychiatry, neurosurgery, and pharmacy residents; the epileptologist; CPP; psychiatrist; epilepsy fellow; or nurse practitioner. A retrospective chart review of the 446 patients seen by either a CPP or clinical pharmacy resident from October 2017 to June 2021 assessed pharmacist-led interventions made during each appointment. The following treatment interventions were assessed: medication initiations/discontinuations, dose changes, and nonpharmacologic interventions, including education. Additionally, any mental health screenings completed, consultations to other specialties placed, or laboratory tests ordered were documented.

Results

In the epilepsy clinic, 591 appointments were completed from October 1, 2019, to May 31, 2021. Of those appointments, 255 (43.2%) were led by pharmacists; 156 (26.4%) by pharmacy residents and 99 (16.8%) by CPPs (16.8%) (Table 1). Appointments held by other HCPs included 139 (23.5%) by nurse practitioner, 108 (18.3%) by the attending epileptologist, 41 (6.9%) by fellows, 22 (3.7%) by psychiatrists, 19 (3.2) by medical residents, 4 (0.7%) by neurosurgery residents, and 3 (0.5%) by psychiatry residents. Medication interventions included 55 (11.8%) dose increases, 52 (11.1%) medication initiations, and 32 (6.9%) dose decreases (Table 2). Mental health screening was conducted for 229 (49.1%) patients with PHQ-9, 225 (48.3%) with GAD-7, and 111 (23.8) with BITe. Some veterans received multiple screeners at a clinic visit, and others received none (most commonly during telephone follow-up appointments). The mean time spent with each patient was 27 minutes.

Pharmacist-Led Interventions

Discussion

Within the private sector, access to a neurologist or epileptologist is limited, and the US Health Resources and Services Administration National Center for Workforce Analysis projected that the demand for these specialists would exceed supply by 2025.12 In 2017, Kobau and colleagues found that only 1 in 10 adults with epilepsy saw a neurologist within the year, similar to previous years. As demand for specialty care exceeds capacity, additional members of the health care team are needed to ensure timely, effective, and safe care for patients with epilepsy.

One way to increase health care access is to use an interdisciplinary model of care, integrating pharmacists in the management of epilepsy in collaboration with other HCPs, a strategy that has been endorsed by the American Epilepsy Society (AES).13 As experts in pharmacotherapy, pharmacists can uniquely provide medication management for this complex disease as ASMs continue to remain the first-line treatment.14

In addition to increased demand for specialty services, there also is an increase in health care spending with a push to limit additional spending. In 2016, despite similar health care use in other high-income countries, health care costs are approximately twice as much in the US, mostly driven by prices of pharmaceuticals and administrative costs.15 Bond and colleagues evaluated 9380 Medicare patients with epilepsy or seizure disorders throughout US hospitals in 1998.16 They found that hospitals without pharmacist-managed ASM therapy had Medicare charges that were 11.2% higher than hospitals with pharmacist-managed therapy. Many factors contribute to the rise in cost, including an increase in laboratory charges for serum drug assays, legal litigations related to drug AEs, and an increase in hospital length of stay (about 14 additional days). Similar to pharmacist-managed anticoagulation, vancomycin, and aminoglycoside therapy, direct involvement of pharmacists with ASM management decreases health care costs.14

The American Academy of Neurology (AAN) developed 8 epilepsy quality measures: seizure type and frequency, etiology or epilepsy syndrome, review of electroencephalogram and imaging findings, counseling of ASM AEs, consideration of surgical treatment of intractable epilepsy, epilepsy-specific safety issues, and counseling for women of childbearing potential on contraception and pregnancy. These measures serve as a guide for evidence-based therapy and standardization of epilepsy care.17 Additionally, bone health, depression, and awareness of sudden unexplained death in epilepsy are increasing in importance when providing quality epilepsy care. Wasade and colleagues surveyed Michigan neurologists and found that only 37% of the respondents addressed ASM AEs at every clinic visit. They also found that just 26% of responding neurologists inquire about depression at every clinic visit, and 17% inquire only once a year. In our practice, screening for depression, suicidality, and counseling on ASM AEs are routinely provided by CPPs during each clinic visit.

Within the VA, CPPs are granted a scope of practice that allows them to perform comprehensive medication management, including but not limited to, prescribing medication regimens, ordering laboratory tests and diagnostic studies, and performing physical assessments. In our practice, the most common interventions made by CPPs were patient-focused counseling, bone health screening, mental health triage and referral, and ASM regimen adjustments. Assessment of ASM adherence also was noted to be an active area of CPP-patient engagement. These most common interventions align well with the AAN quality measures. It is now well recognized that nonadherence in patients with epilepsy not only can lead to loss of seizure control, but injury and death as well.18,19 Malek and colleagues found that patients with epilepsy who are nonadherent to their ASM regimens have a 3-times greater risk of mortality compared with those who were adherent.20 Adherence to the appropriate medication regimen in epilepsy can result in seizure-freedom in 70% of patients; therefore, exploring nonadherence in this population is crucial.21

The COVID-19 pandemic precipitated changes to the health care industry, including the heavy reliance on telehealth. Following the Wisconsin stay-at-home order on March 25, 2020, all nonessential face-to-face appointments at the WSMVH halted. The epilepsy clinic transitioned the majority of appointments to either telephone or VA Video Connect (VVC), which is a program on the veteran’s computer, tablet, or mobile device upon which the appointment is held. Although it became more challenging to obtain a mental health screening during virtual appointments and the frequency did decrease, patients were asked for a subjective report of their mood during each telephone or video appointment. The AES has since put forth a statement of support for the continuation of telehealth following the COVID-19 pandemic due to the flexibility that telehealth provides people with epilepsy. Additionally, the AES taskforce provided suggestions for continued pharmacist engagement within the epilepsy care team, including the triaging of patients, management of ASMs, and involvement in the delivery of telehealth.

WSMVH clinic CPPs and clinical pharmacy residents saw a high proportion of all veterans, which allowed the epileptologist time to focus on new consults and higher acuity cases. At WSMVH, screening for depression with the PHQ-9 must be completed at least annually for any patient regardless of their involvement in mental health care. This typically occurs at a patient’s annual primary care visit. Patients who receive epilepsy clinic care will often receive more frequent and thorough depression screening with the PHQ-9, in addition to screening for anxiety, irritability, and sleep disorders. CPPs ability to identify, evaluate, and triage psychiatric concerns ensures that the patient has support and care.

Limitations

There is limited research available on the impact that a CPP has on medication management and access to care within an epilepsy clinic, especially those with a scope of practice. One limitation of this retrospective chart review is that the appropriateness of each medication intervention was not assessed; therefore, the impact of each intervention was not captured. Additionally, this single-site study of veterans may not reflect the general population. However, we believe that this model could be adapted to nonspecialty neurology practices. Of note the scope of this study did not include a comparison of medication interventions for the other specialties within the clinic.

Conclusions

The integration of a CPP and pharmacy residents into the WSMVH epilepsy clinic has allowed for greater and more timely access to care, managing 43.2% of all patients within the clinic during the study. Pharmacy scope of practice allows for collaborative autonomy with ASM adjustments and for the epileptologist time to focus on higher acuity cases. In settings where pharmacists do not have prescriptive status, medication management services, such as comprehensive medication reviews, identifying drug-drug and drug-disease interactions, recognizing adherence barriers, and medication safety surveillance, can still be performed to improve management of epilepsy.

Acknowledgments

Ellina S. Seckel, PharmD, BCACP, DPLA; Anita Kashyap, PharmD, BCACP; Brooke Keenan, NP; Leigh Heffner, PharmD

Epilepsy affects about 1% of the world population and is one of the most burdensome in terms of disability-adjusted life-years.1,2 Veterans are at increased risk of developing epilepsy when compared with the general population due to a variety of factors, including a higher frequency of traumatic brain injuries.3 A recent study from the US Centers for Disease Control and Prevention found that veterans who developed epilepsy during their service not only had a higher rate of mental and physical comorbidities, but also were 2.6 times more likely to die compared with veterans without epilepsy.4

Oral antiseizure medications (ASM) remain the mainstay of outpatient epilepsy treatment. Patterns of ASM use are complex within the US Department of Veterans Affairs (VA) patient population, particularly within patients at the Epilepsy Centers of Excellence (ECoE). For example, many patients are transitioned from older ASMs with greater adverse effects (AEs) to better tolerated newer generation ASMs or polytherapy regimens with complex pharmacokinetic profiles and drug interactions.5 Multiple factors are considered when choosing an ASM, including age, sex, epilepsy/seizure type, comorbidities, past medication trials, AEs, and drug interactions. The complex pharmacologic profile of both older and newer ASMs can confound the optimal management of epilepsy, and suboptimal management can lead to neurologic, psychological, physical, and social consequences, including sudden unexplained death in epilepsy.6,7 Psychiatric and behavioral problems are seen in up to 30% of patients with newly diagnosed epilepsy and 50% in those with pharmacoresistant epilepsy.8 Early screening, detection, and treatment for psychiatric comorbidities are an integral part of evidence-based care in epilepsy.

Being familiar with ASM AEs and comorbid conditions such as anxiety and depression can allow for quick identification and intervention to improve safety and quality of life. A 2007 population-based study found that measures of suicidality had a strong association with epilepsy, and performing mental health screenings, such as the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Screener (GAD-7), and the Brief Irritability Test (BITe), can assist in identifying those patients at risk.9

During the COVID-19 pandemic, it has become increasingly clear that the health care sector is facing increasing pressure. The combination of patient acuity as well as critical health care professional (HCP) shortages may be of particular concern in certain specialty clinics where access to practitioners may already be limited. While this is a multifaceted problem, a pragmatic approach would be to increase the use of clinicians, such as clinical pharmacist practitioners (CPPs).

The William S. Middleton Memorial Veterans Hospital (WSMVH) in Madison, Wisconsin, is 1 of 17 VA ECoE sites. The VA ECoE provides high-quality, comprehensive epilepsy evaluation and care to veterans. In fiscal year (FY) 2020, the 17 sites provided care to 5544 veterans.10 The WSMVH epilepsy clinic sees about 400 veterans each year, receiving referrals from other VA medical centers, and prescribes ASMs, neuromodulation devices, and resective surgeries for epilepsy. The multidisciplinary team consists of an epileptologist, neurophysiology fellow, psychiatrist, nurse practitioner, CPP, and neurology residents. The WSMVH epilepsy clinic has employed CPPs at their highest level of clinical practice authority since 1991.

The WSMVH epilepsy clinic is open 4 hours once weekly. The clinic offers fourteen 30-minute appointment slots either in person or via telehealth. The epileptologist reviews patient charts prior to clinic and assigns each patient to the appropriate HCP. When making the determination to assign a patient to a CPP or pharmacy resident, the epileptologist considers current treatment response, mental health issues as well as medication-related concerns (eg, potential pharmacokinetic/pharmacodynamic interactions, AEs, adherence). The CPP can independently lead routine follow-up appointments and address acute as well as ongoing ASM therapy needs. Pharmacy residents are fully integrated into the clinic workflow, seeing assigned patients independently when appropriate but ensuring that each patient has access to either the epileptologist, CPP, or psychiatrist prior to finalizing the treatment plan. The epilepsy clinic rotation is required for first-year pharmacy residents and is an elective rotation in the second year.

While this level of service has been in place at WSMVH for more than 3 decades, a systematic evaluation on workload and clinical impact has not been conducted.11 The purpose of this analysis is to evaluate and quantify the breadth and impact of CPPs in this specialty setting. The WSMVH/University of Wisconsin-Madison institutional review board deemed this quality improvement study exempt from review.

Methods

This study was a single-center, retrospective, quality improvement project evaluating the impact of a CPP and clinical pharmacy resident have within the WSMVH epilepsy clinic on access to epilepsy care and medication management. The secondary outcomes were the types of interventions made by the CPP and mental health screening performed.

Between October 2019 and May 2021, 591 appointments were scheduled at the epilepsy clinic for medical, psychiatry, neurosurgery, and pharmacy residents; the epileptologist; CPP; psychiatrist; epilepsy fellow; or nurse practitioner. A retrospective chart review of the 446 patients seen by either a CPP or clinical pharmacy resident from October 2017 to June 2021 assessed pharmacist-led interventions made during each appointment. The following treatment interventions were assessed: medication initiations/discontinuations, dose changes, and nonpharmacologic interventions, including education. Additionally, any mental health screenings completed, consultations to other specialties placed, or laboratory tests ordered were documented.

Results

In the epilepsy clinic, 591 appointments were completed from October 1, 2019, to May 31, 2021. Of those appointments, 255 (43.2%) were led by pharmacists; 156 (26.4%) by pharmacy residents and 99 (16.8%) by CPPs (16.8%) (Table 1). Appointments held by other HCPs included 139 (23.5%) by nurse practitioner, 108 (18.3%) by the attending epileptologist, 41 (6.9%) by fellows, 22 (3.7%) by psychiatrists, 19 (3.2) by medical residents, 4 (0.7%) by neurosurgery residents, and 3 (0.5%) by psychiatry residents. Medication interventions included 55 (11.8%) dose increases, 52 (11.1%) medication initiations, and 32 (6.9%) dose decreases (Table 2). Mental health screening was conducted for 229 (49.1%) patients with PHQ-9, 225 (48.3%) with GAD-7, and 111 (23.8) with BITe. Some veterans received multiple screeners at a clinic visit, and others received none (most commonly during telephone follow-up appointments). The mean time spent with each patient was 27 minutes.

Pharmacist-Led Interventions

Discussion

Within the private sector, access to a neurologist or epileptologist is limited, and the US Health Resources and Services Administration National Center for Workforce Analysis projected that the demand for these specialists would exceed supply by 2025.12 In 2017, Kobau and colleagues found that only 1 in 10 adults with epilepsy saw a neurologist within the year, similar to previous years. As demand for specialty care exceeds capacity, additional members of the health care team are needed to ensure timely, effective, and safe care for patients with epilepsy.

One way to increase health care access is to use an interdisciplinary model of care, integrating pharmacists in the management of epilepsy in collaboration with other HCPs, a strategy that has been endorsed by the American Epilepsy Society (AES).13 As experts in pharmacotherapy, pharmacists can uniquely provide medication management for this complex disease as ASMs continue to remain the first-line treatment.14

In addition to increased demand for specialty services, there also is an increase in health care spending with a push to limit additional spending. In 2016, despite similar health care use in other high-income countries, health care costs are approximately twice as much in the US, mostly driven by prices of pharmaceuticals and administrative costs.15 Bond and colleagues evaluated 9380 Medicare patients with epilepsy or seizure disorders throughout US hospitals in 1998.16 They found that hospitals without pharmacist-managed ASM therapy had Medicare charges that were 11.2% higher than hospitals with pharmacist-managed therapy. Many factors contribute to the rise in cost, including an increase in laboratory charges for serum drug assays, legal litigations related to drug AEs, and an increase in hospital length of stay (about 14 additional days). Similar to pharmacist-managed anticoagulation, vancomycin, and aminoglycoside therapy, direct involvement of pharmacists with ASM management decreases health care costs.14

The American Academy of Neurology (AAN) developed 8 epilepsy quality measures: seizure type and frequency, etiology or epilepsy syndrome, review of electroencephalogram and imaging findings, counseling of ASM AEs, consideration of surgical treatment of intractable epilepsy, epilepsy-specific safety issues, and counseling for women of childbearing potential on contraception and pregnancy. These measures serve as a guide for evidence-based therapy and standardization of epilepsy care.17 Additionally, bone health, depression, and awareness of sudden unexplained death in epilepsy are increasing in importance when providing quality epilepsy care. Wasade and colleagues surveyed Michigan neurologists and found that only 37% of the respondents addressed ASM AEs at every clinic visit. They also found that just 26% of responding neurologists inquire about depression at every clinic visit, and 17% inquire only once a year. In our practice, screening for depression, suicidality, and counseling on ASM AEs are routinely provided by CPPs during each clinic visit.

Within the VA, CPPs are granted a scope of practice that allows them to perform comprehensive medication management, including but not limited to, prescribing medication regimens, ordering laboratory tests and diagnostic studies, and performing physical assessments. In our practice, the most common interventions made by CPPs were patient-focused counseling, bone health screening, mental health triage and referral, and ASM regimen adjustments. Assessment of ASM adherence also was noted to be an active area of CPP-patient engagement. These most common interventions align well with the AAN quality measures. It is now well recognized that nonadherence in patients with epilepsy not only can lead to loss of seizure control, but injury and death as well.18,19 Malek and colleagues found that patients with epilepsy who are nonadherent to their ASM regimens have a 3-times greater risk of mortality compared with those who were adherent.20 Adherence to the appropriate medication regimen in epilepsy can result in seizure-freedom in 70% of patients; therefore, exploring nonadherence in this population is crucial.21

The COVID-19 pandemic precipitated changes to the health care industry, including the heavy reliance on telehealth. Following the Wisconsin stay-at-home order on March 25, 2020, all nonessential face-to-face appointments at the WSMVH halted. The epilepsy clinic transitioned the majority of appointments to either telephone or VA Video Connect (VVC), which is a program on the veteran’s computer, tablet, or mobile device upon which the appointment is held. Although it became more challenging to obtain a mental health screening during virtual appointments and the frequency did decrease, patients were asked for a subjective report of their mood during each telephone or video appointment. The AES has since put forth a statement of support for the continuation of telehealth following the COVID-19 pandemic due to the flexibility that telehealth provides people with epilepsy. Additionally, the AES taskforce provided suggestions for continued pharmacist engagement within the epilepsy care team, including the triaging of patients, management of ASMs, and involvement in the delivery of telehealth.

WSMVH clinic CPPs and clinical pharmacy residents saw a high proportion of all veterans, which allowed the epileptologist time to focus on new consults and higher acuity cases. At WSMVH, screening for depression with the PHQ-9 must be completed at least annually for any patient regardless of their involvement in mental health care. This typically occurs at a patient’s annual primary care visit. Patients who receive epilepsy clinic care will often receive more frequent and thorough depression screening with the PHQ-9, in addition to screening for anxiety, irritability, and sleep disorders. CPPs ability to identify, evaluate, and triage psychiatric concerns ensures that the patient has support and care.

Limitations

There is limited research available on the impact that a CPP has on medication management and access to care within an epilepsy clinic, especially those with a scope of practice. One limitation of this retrospective chart review is that the appropriateness of each medication intervention was not assessed; therefore, the impact of each intervention was not captured. Additionally, this single-site study of veterans may not reflect the general population. However, we believe that this model could be adapted to nonspecialty neurology practices. Of note the scope of this study did not include a comparison of medication interventions for the other specialties within the clinic.

Conclusions

The integration of a CPP and pharmacy residents into the WSMVH epilepsy clinic has allowed for greater and more timely access to care, managing 43.2% of all patients within the clinic during the study. Pharmacy scope of practice allows for collaborative autonomy with ASM adjustments and for the epileptologist time to focus on higher acuity cases. In settings where pharmacists do not have prescriptive status, medication management services, such as comprehensive medication reviews, identifying drug-drug and drug-disease interactions, recognizing adherence barriers, and medication safety surveillance, can still be performed to improve management of epilepsy.

Acknowledgments

Ellina S. Seckel, PharmD, BCACP, DPLA; Anita Kashyap, PharmD, BCACP; Brooke Keenan, NP; Leigh Heffner, PharmD

References

1. Stafstrom CE, Carmant L. Seizures and epilepsy: an overview for neuroscientists. Cold Spring Harb Perspect Med. 2015;5(6):a022426. doi:10.1101/cshperspect.a022426

2. GBD 2017 US Neurological Disorders Collaborators, Feigin VL, Vos T, et al. Burden of neurological disorders across the US from 1990-2017: a global burden of disease study. JAMA Neurol. 2021;78(2):165-176. doi:10.1001/jamaneurol.2020.4152

3. Rehman R, Kelly PR, Husain AM, Tran TT. Characteristics of veterans diagnosed with seizures within Veterans Health Administration. J Rehabil Res Dev. 2015;52(7):751-762. doi:10.1682/JRRD.2014.10.0241

4. Pugh MJ, Van Cott AC, Amuan M, et al. Epilepsy among Iraq and Afghanistan War veterans - United States, 2002-2015. MMWR Morb Mortal Wkly Rep. 2016;65(44):1224-1227. doi:10.15585/mmwr.mm6544a5

5. Rohde NN, Baca CB, Van Cott AC, Parko KL, Amuan ME, Pugh MJ. Antiepileptic drug prescribing patterns in Iraq and Afghanistan war veterans with epilepsy. Epilepsy Behav. 2015;46:133-139. doi:10.1016/j.yebeh.2015.03.027

6. Laxer KD, Trinka E, Hirsch LJ, et al. The consequences of refractory epilepsy and its treatment. Epilepsy Behav. 2014;37:59-70. doi:10.1016/j.yebeh.2014.05.031

7. Devinsky O, Hesdorffer DC, Thurman DJ, Lhatoo S, Richerson G. Sudden unexpected death in epilepsy: epidemiology, mechanisms, and prevention. Lancet Neurol. 2016;15(10):1075-1088. doi:10.1016/S1474-4422(16)30158-2

8. Tolchin B, Hirsch LJ, LaFrance WC Jr. Neuropsychiatric aspects of epilepsy. Psychiatr Clin North Am. 2020;43(2):275-290. doi:10.1016/j.psc.2020.02.002

9. Rai D, Kerr MP, McManus S, Jordanova V, Lewis G, Brugha TS. Epilepsy and psychiatric comorbidity: a nationally representative population-based study. Epilepsia. 2012;53(6):1095-1103. doi:10.1111/j.1528-1167.2012.03500.x

10. US Department of Veterans Affairs. Epilepsy Centers of Excellence. Annual report fiscal year 2020. Accessed March 11, 2022. https://www.epilepsy.va.gov/docs/ECoENational_AnnualReportFY20_web_508c.pdf

11. Fogg A, Staufenberg EF, Small I, Bhattacharya D. An exploratory study of primary care pharmacist-led epilepsy consultations. Int J Pharm Pract. 2012;20(5):294-302. doi:10.1111/j.2042-7174.2012.00207.x

12. Kobau R, Sapkota S, Pennell PB, Croft JB. Epilepsy by the numbers - from the US Centers for Disease Control and Prevention: six in 10 adults with active epilepsy saw a neurologist or epilepsy specialist in the past year, United States, 2017. Epilepsy Behav. 2020;112:107348. doi:10.1016/j.yebeh.2020.107348

13. Shawahna R. Development of key performance indicators to capture in measuring the impact of pharmacists in caring for patients with epilepsy in primary healthcare: A Delphi consensual study. Epilepsy Behav. 2019;98(pt A):129-138. doi:10.1016/j.yebeh.2019.07.034

14. Asadi-Pooya AA, Beniczky S, Rubboli G, Sperling MR, Rampp S, Perucca E. A pragmatic algorithm to select appropriate antiseizure medications in patients with epilepsy. Epilepsia. 2020;61(8):1668-1677. doi:10.1111/epi.16610

15. Papanicolas I, Woskie LR, Jha AK. Health Care Spending in the United States and Other High-Income Countries. JAMA. 2018;319(10):1024-1039. doi:10.1001/jama.2018.1150

16. Bond CA, Raehl CL. Clinical and economic outcomes of pharmacist-managed aminoglycoside or vancomycin therapy. Am J Health Syst Pharm. 2005;62(15):1596-1605. doi:10.2146/ajhp040555

17. Wasade VS, Spanaki M, Iyengar R, Barkley GL, Schultz L. AAN Epilepsy Quality Measures in clinical practice: a survey of neurologists. Epilepsy Behav. 2012;24(4):468-473. doi:10.1016/j.yebeh.2012.05.017

18. Hovinga CA, Asato MR, Manjunath R, et al. Association of non-adherence to antiepileptic drugs and seizures, quality of life, and productivity: survey of patients with epilepsy and physicians. Epilepsy Behav. 2008;13(2):316-322. doi:10.1016/j.yebeh.2008.03.009

19. Faught RE, Weiner JR, Guérin A, Cunnington MC, Duh MS. Impact of nonadherence to antiepileptic drugs on health care utilization and costs: findings from the RANSOM study. Epilepsia. 2009;50(3):501-509. doi:10.1111/j.1528-1167.2008.01794.x

20. Malek N, Heath CA, Greene J. A review of medication adherence in people with epilepsy. Acta Neurol Scand. 2017;135(5):507-515. doi:10.1111/ane.12703

21. O’ Rourke G, O’ Brien JJ. Identifying the barriers to antiepileptic drug adherence among adults with epilepsy. Seizure. 2017;45:160-168. doi:10.1016/j.seizure.2016.12.006

References

1. Stafstrom CE, Carmant L. Seizures and epilepsy: an overview for neuroscientists. Cold Spring Harb Perspect Med. 2015;5(6):a022426. doi:10.1101/cshperspect.a022426

2. GBD 2017 US Neurological Disorders Collaborators, Feigin VL, Vos T, et al. Burden of neurological disorders across the US from 1990-2017: a global burden of disease study. JAMA Neurol. 2021;78(2):165-176. doi:10.1001/jamaneurol.2020.4152

3. Rehman R, Kelly PR, Husain AM, Tran TT. Characteristics of veterans diagnosed with seizures within Veterans Health Administration. J Rehabil Res Dev. 2015;52(7):751-762. doi:10.1682/JRRD.2014.10.0241

4. Pugh MJ, Van Cott AC, Amuan M, et al. Epilepsy among Iraq and Afghanistan War veterans - United States, 2002-2015. MMWR Morb Mortal Wkly Rep. 2016;65(44):1224-1227. doi:10.15585/mmwr.mm6544a5

5. Rohde NN, Baca CB, Van Cott AC, Parko KL, Amuan ME, Pugh MJ. Antiepileptic drug prescribing patterns in Iraq and Afghanistan war veterans with epilepsy. Epilepsy Behav. 2015;46:133-139. doi:10.1016/j.yebeh.2015.03.027

6. Laxer KD, Trinka E, Hirsch LJ, et al. The consequences of refractory epilepsy and its treatment. Epilepsy Behav. 2014;37:59-70. doi:10.1016/j.yebeh.2014.05.031

7. Devinsky O, Hesdorffer DC, Thurman DJ, Lhatoo S, Richerson G. Sudden unexpected death in epilepsy: epidemiology, mechanisms, and prevention. Lancet Neurol. 2016;15(10):1075-1088. doi:10.1016/S1474-4422(16)30158-2

8. Tolchin B, Hirsch LJ, LaFrance WC Jr. Neuropsychiatric aspects of epilepsy. Psychiatr Clin North Am. 2020;43(2):275-290. doi:10.1016/j.psc.2020.02.002

9. Rai D, Kerr MP, McManus S, Jordanova V, Lewis G, Brugha TS. Epilepsy and psychiatric comorbidity: a nationally representative population-based study. Epilepsia. 2012;53(6):1095-1103. doi:10.1111/j.1528-1167.2012.03500.x

10. US Department of Veterans Affairs. Epilepsy Centers of Excellence. Annual report fiscal year 2020. Accessed March 11, 2022. https://www.epilepsy.va.gov/docs/ECoENational_AnnualReportFY20_web_508c.pdf

11. Fogg A, Staufenberg EF, Small I, Bhattacharya D. An exploratory study of primary care pharmacist-led epilepsy consultations. Int J Pharm Pract. 2012;20(5):294-302. doi:10.1111/j.2042-7174.2012.00207.x

12. Kobau R, Sapkota S, Pennell PB, Croft JB. Epilepsy by the numbers - from the US Centers for Disease Control and Prevention: six in 10 adults with active epilepsy saw a neurologist or epilepsy specialist in the past year, United States, 2017. Epilepsy Behav. 2020;112:107348. doi:10.1016/j.yebeh.2020.107348

13. Shawahna R. Development of key performance indicators to capture in measuring the impact of pharmacists in caring for patients with epilepsy in primary healthcare: A Delphi consensual study. Epilepsy Behav. 2019;98(pt A):129-138. doi:10.1016/j.yebeh.2019.07.034

14. Asadi-Pooya AA, Beniczky S, Rubboli G, Sperling MR, Rampp S, Perucca E. A pragmatic algorithm to select appropriate antiseizure medications in patients with epilepsy. Epilepsia. 2020;61(8):1668-1677. doi:10.1111/epi.16610

15. Papanicolas I, Woskie LR, Jha AK. Health Care Spending in the United States and Other High-Income Countries. JAMA. 2018;319(10):1024-1039. doi:10.1001/jama.2018.1150

16. Bond CA, Raehl CL. Clinical and economic outcomes of pharmacist-managed aminoglycoside or vancomycin therapy. Am J Health Syst Pharm. 2005;62(15):1596-1605. doi:10.2146/ajhp040555

17. Wasade VS, Spanaki M, Iyengar R, Barkley GL, Schultz L. AAN Epilepsy Quality Measures in clinical practice: a survey of neurologists. Epilepsy Behav. 2012;24(4):468-473. doi:10.1016/j.yebeh.2012.05.017

18. Hovinga CA, Asato MR, Manjunath R, et al. Association of non-adherence to antiepileptic drugs and seizures, quality of life, and productivity: survey of patients with epilepsy and physicians. Epilepsy Behav. 2008;13(2):316-322. doi:10.1016/j.yebeh.2008.03.009

19. Faught RE, Weiner JR, Guérin A, Cunnington MC, Duh MS. Impact of nonadherence to antiepileptic drugs on health care utilization and costs: findings from the RANSOM study. Epilepsia. 2009;50(3):501-509. doi:10.1111/j.1528-1167.2008.01794.x

20. Malek N, Heath CA, Greene J. A review of medication adherence in people with epilepsy. Acta Neurol Scand. 2017;135(5):507-515. doi:10.1111/ane.12703

21. O’ Rourke G, O’ Brien JJ. Identifying the barriers to antiepileptic drug adherence among adults with epilepsy. Seizure. 2017;45:160-168. doi:10.1016/j.seizure.2016.12.006

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Neuroimaging in the Era of Artificial Intelligence: Current Applications

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Artificial intelligence (AI) in medicine has shown significant promise, particularly in neuroimaging. AI refers to computer systems designed to perform tasks that normally require human intelligence.1 Machine learning (ML), a field in which computers learn from data without being specifically programmed, is the AI subset responsible for its success in matching or even surpassing humans in certain tasks.2

Supervised learning, a subset of ML, uses an algorithm with annotated data from which to learn.3 The program will use the characteristics of a training data set to predict a specific outcome or target when exposed to a sample data set of the same type. Unsupervised learning finds naturally occurring patterns or groupings within the data.4 With deep learning (DL) algorithms, computers learn the features that optimally represent the data for the problem at hand.5 Both ML and DL are meant to emulate neural networks in the brain, giving rise to artificial neural networks composed of nodes structured within input, hidden, and output layers.

The DL neural network differs from a conventional one by having many hidden layers instead of just 1 layer that extracts patterns within the data.6 Convolutional neural networks (CNNs) are the most prevalent DL architecture used in medical imaging. CNN’s hidden layers apply convolution and pooling operations to break down an image into features containing the most valuable information. The connecting layer applies high-level reasoning before the output layer provides predictions for the image. This framework has applications within radiology, such as predicting a lesion category or condition from an image, determining whether a specific pixel belongs to background or a target class, and predicting the location of lesions.1

AI promises to increase efficiency and reduces errors. With increased data processing and image interpretation, AI technology may help radiologists improve the quality of patient care.6 This article discusses the current applications and future integration of AI in neuroradiology.

Neuroimaging Applications

AI can improve the quality of neuroimaging and reduce the clinical and systemic loads of other imaging modalities. AI can predict patient wait times for computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, and X-ray imaging.7 A ML-based AI has detected the variables that most affected patient wait times, including proximity to federal holidays and severity of the patient’s condition, and calculated how long patients would be delayed after their scheduled appointment time. This AI modality could allow more efficient patient scheduling and reveal areas of patient processing that could be changed, potentially improving patient satisfaction and outcomes for time-sensitive neurologic conditions.

AI can save patient and health care practitioner time for repeat MRIs. An estimated 20% of MRI scans require a repeat series—a massive loss of time and funds for both patients and the health care system.8 A DL approach can determine whether an MRI is usable clinically or unclear enough to require repetition.9 This initial screening measure can prevent patients from making return visits and neuroradiologists from reading inconclusive images. AI offers the opportunity to reduce time and costs incurred by optimizing the health care process before imaging is obtained.

Speeding Up Neuroimaging

AI can reduce the time spent performing imaging. Because MRIs consume time and resources, compressed sensing (CS) is commonly used. CS preferentially maintains in-plane resolution at the expense of through-plane resolution to produce a scan with a single, usable viewpoint that preserves signal-to-noise ratio (SNR). CS, however, limits interpretation to single directions and can create aliasing artifacts. An AI algorithm known as synthetic multi-orientation resolution enhancement works in real time to reduce aliasing and improve resolution in these compressed scans.10 This AI improved resolution of white matter lesions in patients with multiple sclerosis (MS) on FLAIR (fluid-attenuated inversion recovery) images, and permitted multiview reconstruction from these limited scans.

Tasks of reconstructing and anti-aliasing come with high computational costs that vary inversely with the extent of scanning compression, potentially negating the time and resource savings of CS. DL AI modalities have been developed to reduce operational loads and further improve image resolution in several directions from CS. One such deep residual learning AI was trained with compressed MRIs and used the framelet method to create a CNN that could rapidly remove global and deeply coherent aliasing artifacts.11 This system, compared with synthetic multi-orientation resolution enhancement, uses a pretrained, pretested AI that does not require additional time during scanning for computational analysis, thereby multiplying the time benefit of CS while retaining the benefits of multidirectional reconstruction and increased resolution. This methodology suffers from inherent degradation of perceptual image quality in its reconstructions because of the L2 loss function the CNN uses to reduce mean squared error, which causes blurring by averaging all possible outcomes of signal distribution during reconstruction. To combat this, researchers have developed another AI to reduce reconstruction times that uses a different loss function in a generative adversarial network to retain image quality, while offering reconstruction times several hundred times faster than current CS-MRI structures.12 So-called sparse-coding methods promise further reduction in reconstruction times, with the possibility of processing completed online with a lightweight architecture rather than on a local system.13

Neuroimaging of acute cases benefits most directly from these technologies because MRIs and their high resolution and SNR begin to approach CT imaging time scales. This could have important implications in clinical care, particularly for stroke imaging and evaluating spinal cord compression. CS-MRI optimization represents one of the greatest areas of neuroimaging cost savings and neurologic care improvement in the modern radiology era.

 

 

Reducing Contrast and Radiation Doses

AI has the ability to read CT, MRI, and positron emission tomography (PET) with reduced or without contrast without significant loss in sensitivity for detecting lesions. With MRI, gadolinium-based contrast can cause injection site reactions, allergic reactions, metal deposition throughout the body, and nephrogenic systemic fibrosis in the most severe instances.14 DL has been applied to brain MRIs performed with 10% of a full dose of contrast without significant degradation of image quality. Neuroradiologists did not rate the AI-synthesized images for several MRI indications lower than their full-dose counterparts.15 Low-dose contrast imaging, regardless of modality, generates greater noise with a significantly reduced signal. However, with AI applied, researchers found that the software suppressed motion and aliasing artifacts and improved image quality, perhaps evidence that this low-dose modality is less vulnerable to the most common pitfalls of MRI.

Recently, low-dose MRI moved into the spotlight when Subtle Medical SubtleGAD software received a National Institutes of Health grant and an expedited pathway to phase 2 clinical trials.16 SubtleGAD, a DL AI that enables low-dose MRI interpretation, might allow contrast MRI for patients with advanced kidney disease or contrast allergies. At some point, contrast with MRI might not be necessary because DL AI applied to noncontrast MRs for detecting MS lesions was found to be preliminarily effective with 78% lesion detection sensitivity.17

PET-MRI combines simultaneous PET and MRI and has been used to evaluate neurologic disorders. PET-MRI can detect amyloid plaques in Alzheimer disease 10 to 20 years before clinical signs of dementia emerge.18 PET-MRI has sparked DL AI development to decrease the dose of the IV radioactive tracer 18F-florbetaben used in imaging to reduce radiation exposure and imaging costs.This reduction is critical if PET-MRI is to become used widely.19-21

An initial CNN could reconstruct low-dose amyloid scans to full-dose resolution, albeit with a greater susceptibility to some artifacts and motion blurring.22 Similar to the synthetic multi-orientation resolution enhancement CNN, this program showed signal blurring from the L2 loss function, which was corrected in a later AI that used a generative adversarial network to minimize perceptual loss.23 This new AI demonstrated greater image resolution, feature preservation, and radiologist rating over the previous AI and was capable of reconstructing low-dose PET scans to full-dose resolution without an accompanying MRI. Applications of this algorithm are far-reaching, potentially allowing neuroimaging of brain tumors at more frequent intervals with higher resolution and lower total radiation exposure.

AI also has been applied to neurologic CT to reduce radiation exposure.24 Because it is critical to abide by the principles of ALARA (as low as reasonably achievable), the ability of AI to reduce radiation exposure holds significant promise. A CNN has been used to transform low-dose CTs of anthropomorphic models with calcium inserts and cardiac patients to normal-dose CTs, with the goal of improving the SNR.25 By training a noise-discriminating CNN and a noise-generating CNN together in a generative adversarial network, the AI improved image feature preservation during transformation. This algorithm has a direct application in imaging cerebral vasculature, including calcification that can explain lacunar infarcts and tracking systemic atherosclerosis.26

Another CNN has been applied to remove more complex noise patterns from the phenomena of beam hardening and photon starvation common in low-dose CT. This algorithm extracts the directional components of artifacts and compares them to known artifact patterns, allowing for highly specific suppression of unwanted signals.27 In June 2019, the US Food and Drug Administration (FDA) approved ClariPi, a deep CNN program for advanced denoising and resolution improvement of low- and ultra low-dose CTs.28 Aside from only low-dose settings, this AI could reduce artifacts in all CT imaging modalities and improve therapeutic value of procedures, including cerebral angiograms and emergency cranial scans. As the average CT radiation dose decreased from 12 mSv in 2009 to 1.5 mSv in 2014 and continues to fall, these algorithms will become increasingly necessary to retain the high resolution and diagnostic power expected of neurologic CTs.29,30

Downstream Applications

Downstream applications refer to AI use after a radiologic study is acquired, mostly image interpretation. More than 70% of FDA-approved AI medical devices are in radiology, and many of these relate to image analysis.6,31 Although AI is not limited to black-and-white image interpretation, it is hypothesized that one of the reasons radiology is inviting to AI is because gray-scale images lend themselves to standardization.3 Moreover, most radiology departments already use AI-friendly picture archiving and communication systems.31,32

AI has been applied to a range of radiologic modalities, including MRI, CT, ultrasonography, PET, and mammography.32-38 AI also has been specifically applied to radiography, including the interpretation of tuberculosis, pneumonia, lung lesions, and COVID-19.33,39-45 AI also can assist triage, patient screening, providing a “second opinion” rapidly, shortening the time needed for attaining a diagnosis, monitoring disease progression, and predicting prognosis.37-39,43,45-47 Downstream applications of AI in neuroradiology and neurology include using CT to aid in detecting hemorrhage or ischemic stroke; using MRI to automatically segment lesions, such as tumors or MS lesions; assisting in early diagnosis and predicting prognosis in MS; assisting in treating paralysis, including from spinal cord injury; determining seizure type and localizing area of seizure onset; and using cameras, wearable devices, and smartphone applications to diagnose and assess treatment response in neurodegenerative disorders, such as Parkinson or Alzheimer diseases (Figure).37,48-56



Several AI tools have been deployed in the clinical setting, particularly triaging intracranial hemorrhage and moving these studies to the top of the radiologist’s worklist. In 2020 the Centers for Medicare and Medicaid Services (CMS) began reimbursing Viz.ai software’s AI-based Viz ContaCT (Viz LVO) with a new International Statistical Classification of Diseases, Tenth Revision procedure code.57

 

 



Viz LVO automatically detects large vessel occlusions, flags the occlusion on CT angiogram, alerts the stroke team (interventional radiologist, neuroradiologist, and neurologist), and transmits images through a secure application to the stroke team members’ mobile devices—all in less than 6 minutes from study acquisition to alarm notification.48 Additional software can quantify and measure perfusion in affected brain areas.48 This could have implications for quantifying and targeting areas of ischemic penumbra that could be salvaged after a stroke and then using that information to plan targeted treatment and/or intervention. Because many trials (DAWN/DEFUSE3) have shown benefits in stroke outcome by extending the therapeutic window for the endovascular thrombectomy, the ability to identify appropriate candidates is essential.58,59 Development of AI tools in assessing ischemic penumbra with quantitative parameters (mean transit time, cerebral blood volume, cerebral blood flow, mismatch ratio) using AI has benefited image interpretation. Medtronic RAPID software can provide quantitative assessment of CT perfusion. AI tools could be used to provide an automatic ASPECT score, which provides a quantitative measure for assessing potential ischemic zones and aids in assessing appropriate candidates for thrombectomy.

Several FDA-approved AI tools help quantify brain structures in neuroradiology, including quantitative analysis through MRI for analysis of anatomy and PET for analysis of functional uptake, assisting in more accurate and more objective detection and monitoring of conditions such as atrophy, dementia, trauma, seizure disorders, and MS.48 The growing number of FDA-approved AI technologies and the recent CMS-approved reimbursement for an AI tool indicate a changing landscape that is more accepting of downstream applications of AI in neuroradiology. As AI continues to integrate into medical regulation and finance, we predict AI will continue to play a prominent role in neuroradiology.

Practical and Ethical Considerations

In any discussion of the benefits of AI, it is prudent to address its shortcomings. Chief among these is overfitting, which occurs when an AI is too closely aligned with its training dataset and prone to error when applied to novel cases. Often this is a byproduct of a small training set.60 Neuroradiology, particularly with uncommon, advanced imaging methods, has a smaller number of available studies.61 Even with more prevalent imaging modalities, such as head CT, the work of collecting training scans from patients with the prerequisite disease processes, particularly if these processes are rare, can limit the number of datapoints collected. Neuroradiologists should understand how an AI tool was generated, including the size and variety of the training dataset used, to best gauge the clinical applicability and fitness of the system.

Another point of concern for AI clinical decision support tools’ implementation is automation bias—the tendency for clinicians to favor machine-generated decisions and ignore contrary data or conflicting human decisions.62 This situation often arises when radiologists experience overwhelming patient loads or are in underresourced settings, where there is little ability to review every AI-based diagnosis. Although AI might be of benefit in such conditions by reducing physician workload and streamlining the diagnostic process, there is the propensity to improperly rely on a tool meant to augment, not replace, a radiologist’s judgment. Such cases have led to adverse outcomes for patients, and legal precedence shows that this constitutes negligence.63 Maintaining awareness of each tool’s limitations and proper application is the only remedy for such situations.

Ethically, we must consider the opaqueness of ML-developed neuroimaging AIs. For many systems, the specific process by which an AI arrives at its conclusions is unknown. This AI “black box” can conceal potential errors and biases that are masked by overall positive performance metrics. The lack of understanding about how a tool functions in the zero-failure clinical setting understandably gives radiologists pause. The question must be asked: Is it ethical to use a system that is a relatively unknown quantity? Entities, including state governments, Canada, and the European Union, have produced an answer. Each of these governments have implemented policies requiring that health care AIs use some method to display to end users the process by which they arrive at conclusions.64-68

The 21st Century Cures Act declares that to attain approval, clinical AIs must demonstrate this explainability to clinicians and patients.69 The response has been an explosion in the development of explainable AI. Systems that visualize the areas where AI attention most often rests with heatmaps, generate labels for the most heavily weighted features of radiographic images, and create full diagnostic reports to justify AI conclusions aim to meet the goal of transparency and inspiring confidence in clinical end users.70 The ability to understand the “thought process” of a system proves useful for error correction and retooling. A trend toward under- or overdetecting conditions, flagging seemingly irrelevant image regions, or low reproducibility can be better addressed when it is clear how the AI is drawing its false conclusions. With an iterative process of testing and redesigning, false positive and negative rates can be reduced, the need for human intervention can be lowered to an appropriate minimum, and patient outcomes can be improved.71

Data collection raises another ethical concern. To train functional clinical decision support tools, massive amounts of patient demographic, laboratory, and imaging data are required. With incentives to develop the most powerful AI systems, record collection can venture down a path where patient autonomy and privacy are threatened. Radiologists have a duty to ensure data mining serves patients and improves the practice of radiology while protecting patients’ personal information.62 Policies have placed similar limits on the access to and use of patient records.64-69 Patients have the right to request explanation of the AI systems their data have been used to train. Approval for data acquisition requires the use of explainable AI, standardized data security protocol implementation, and adequate proof of communal benefit from the clinical decision support tool. Establishment of state-mandated protections bodes well for a future when developers can access enormous caches of data while patients and health care professionals are assured that no identifying information has escaped a well-regulated space. On the level of the individual radiologist, the knowledge that each datum represents a human life. These are people who has made themselves vulnerable by seeking relief for what ails them, which should serve as a lasting reminder to operate with utmost care when handling sensitive information.

Conclusions

The demonstrated applications of AI in neuroimaging are numerous and varied, and it is reasonable to assume that its implementation will increase as the technology matures. AI use for detecting important neurologic conditions holds promise in combatting ever greater imaging volumes and providing timely diagnoses. As medicine witnesses the continuing adoption of AI, it is important that practitioners possess an understanding of its current and emerging uses.

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aUniversity of South Florida Morsani College of Medicine, Tampa, Florida
bJames A. Haley Veterans’ Hospital, Tampa, Florida

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bJames A. Haley Veterans’ Hospital, Tampa, Florida

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The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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bJames A. Haley Veterans’ Hospital, Tampa, Florida

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Artificial intelligence (AI) in medicine has shown significant promise, particularly in neuroimaging. AI refers to computer systems designed to perform tasks that normally require human intelligence.1 Machine learning (ML), a field in which computers learn from data without being specifically programmed, is the AI subset responsible for its success in matching or even surpassing humans in certain tasks.2

Supervised learning, a subset of ML, uses an algorithm with annotated data from which to learn.3 The program will use the characteristics of a training data set to predict a specific outcome or target when exposed to a sample data set of the same type. Unsupervised learning finds naturally occurring patterns or groupings within the data.4 With deep learning (DL) algorithms, computers learn the features that optimally represent the data for the problem at hand.5 Both ML and DL are meant to emulate neural networks in the brain, giving rise to artificial neural networks composed of nodes structured within input, hidden, and output layers.

The DL neural network differs from a conventional one by having many hidden layers instead of just 1 layer that extracts patterns within the data.6 Convolutional neural networks (CNNs) are the most prevalent DL architecture used in medical imaging. CNN’s hidden layers apply convolution and pooling operations to break down an image into features containing the most valuable information. The connecting layer applies high-level reasoning before the output layer provides predictions for the image. This framework has applications within radiology, such as predicting a lesion category or condition from an image, determining whether a specific pixel belongs to background or a target class, and predicting the location of lesions.1

AI promises to increase efficiency and reduces errors. With increased data processing and image interpretation, AI technology may help radiologists improve the quality of patient care.6 This article discusses the current applications and future integration of AI in neuroradiology.

Neuroimaging Applications

AI can improve the quality of neuroimaging and reduce the clinical and systemic loads of other imaging modalities. AI can predict patient wait times for computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, and X-ray imaging.7 A ML-based AI has detected the variables that most affected patient wait times, including proximity to federal holidays and severity of the patient’s condition, and calculated how long patients would be delayed after their scheduled appointment time. This AI modality could allow more efficient patient scheduling and reveal areas of patient processing that could be changed, potentially improving patient satisfaction and outcomes for time-sensitive neurologic conditions.

AI can save patient and health care practitioner time for repeat MRIs. An estimated 20% of MRI scans require a repeat series—a massive loss of time and funds for both patients and the health care system.8 A DL approach can determine whether an MRI is usable clinically or unclear enough to require repetition.9 This initial screening measure can prevent patients from making return visits and neuroradiologists from reading inconclusive images. AI offers the opportunity to reduce time and costs incurred by optimizing the health care process before imaging is obtained.

Speeding Up Neuroimaging

AI can reduce the time spent performing imaging. Because MRIs consume time and resources, compressed sensing (CS) is commonly used. CS preferentially maintains in-plane resolution at the expense of through-plane resolution to produce a scan with a single, usable viewpoint that preserves signal-to-noise ratio (SNR). CS, however, limits interpretation to single directions and can create aliasing artifacts. An AI algorithm known as synthetic multi-orientation resolution enhancement works in real time to reduce aliasing and improve resolution in these compressed scans.10 This AI improved resolution of white matter lesions in patients with multiple sclerosis (MS) on FLAIR (fluid-attenuated inversion recovery) images, and permitted multiview reconstruction from these limited scans.

Tasks of reconstructing and anti-aliasing come with high computational costs that vary inversely with the extent of scanning compression, potentially negating the time and resource savings of CS. DL AI modalities have been developed to reduce operational loads and further improve image resolution in several directions from CS. One such deep residual learning AI was trained with compressed MRIs and used the framelet method to create a CNN that could rapidly remove global and deeply coherent aliasing artifacts.11 This system, compared with synthetic multi-orientation resolution enhancement, uses a pretrained, pretested AI that does not require additional time during scanning for computational analysis, thereby multiplying the time benefit of CS while retaining the benefits of multidirectional reconstruction and increased resolution. This methodology suffers from inherent degradation of perceptual image quality in its reconstructions because of the L2 loss function the CNN uses to reduce mean squared error, which causes blurring by averaging all possible outcomes of signal distribution during reconstruction. To combat this, researchers have developed another AI to reduce reconstruction times that uses a different loss function in a generative adversarial network to retain image quality, while offering reconstruction times several hundred times faster than current CS-MRI structures.12 So-called sparse-coding methods promise further reduction in reconstruction times, with the possibility of processing completed online with a lightweight architecture rather than on a local system.13

Neuroimaging of acute cases benefits most directly from these technologies because MRIs and their high resolution and SNR begin to approach CT imaging time scales. This could have important implications in clinical care, particularly for stroke imaging and evaluating spinal cord compression. CS-MRI optimization represents one of the greatest areas of neuroimaging cost savings and neurologic care improvement in the modern radiology era.

 

 

Reducing Contrast and Radiation Doses

AI has the ability to read CT, MRI, and positron emission tomography (PET) with reduced or without contrast without significant loss in sensitivity for detecting lesions. With MRI, gadolinium-based contrast can cause injection site reactions, allergic reactions, metal deposition throughout the body, and nephrogenic systemic fibrosis in the most severe instances.14 DL has been applied to brain MRIs performed with 10% of a full dose of contrast without significant degradation of image quality. Neuroradiologists did not rate the AI-synthesized images for several MRI indications lower than their full-dose counterparts.15 Low-dose contrast imaging, regardless of modality, generates greater noise with a significantly reduced signal. However, with AI applied, researchers found that the software suppressed motion and aliasing artifacts and improved image quality, perhaps evidence that this low-dose modality is less vulnerable to the most common pitfalls of MRI.

Recently, low-dose MRI moved into the spotlight when Subtle Medical SubtleGAD software received a National Institutes of Health grant and an expedited pathway to phase 2 clinical trials.16 SubtleGAD, a DL AI that enables low-dose MRI interpretation, might allow contrast MRI for patients with advanced kidney disease or contrast allergies. At some point, contrast with MRI might not be necessary because DL AI applied to noncontrast MRs for detecting MS lesions was found to be preliminarily effective with 78% lesion detection sensitivity.17

PET-MRI combines simultaneous PET and MRI and has been used to evaluate neurologic disorders. PET-MRI can detect amyloid plaques in Alzheimer disease 10 to 20 years before clinical signs of dementia emerge.18 PET-MRI has sparked DL AI development to decrease the dose of the IV radioactive tracer 18F-florbetaben used in imaging to reduce radiation exposure and imaging costs.This reduction is critical if PET-MRI is to become used widely.19-21

An initial CNN could reconstruct low-dose amyloid scans to full-dose resolution, albeit with a greater susceptibility to some artifacts and motion blurring.22 Similar to the synthetic multi-orientation resolution enhancement CNN, this program showed signal blurring from the L2 loss function, which was corrected in a later AI that used a generative adversarial network to minimize perceptual loss.23 This new AI demonstrated greater image resolution, feature preservation, and radiologist rating over the previous AI and was capable of reconstructing low-dose PET scans to full-dose resolution without an accompanying MRI. Applications of this algorithm are far-reaching, potentially allowing neuroimaging of brain tumors at more frequent intervals with higher resolution and lower total radiation exposure.

AI also has been applied to neurologic CT to reduce radiation exposure.24 Because it is critical to abide by the principles of ALARA (as low as reasonably achievable), the ability of AI to reduce radiation exposure holds significant promise. A CNN has been used to transform low-dose CTs of anthropomorphic models with calcium inserts and cardiac patients to normal-dose CTs, with the goal of improving the SNR.25 By training a noise-discriminating CNN and a noise-generating CNN together in a generative adversarial network, the AI improved image feature preservation during transformation. This algorithm has a direct application in imaging cerebral vasculature, including calcification that can explain lacunar infarcts and tracking systemic atherosclerosis.26

Another CNN has been applied to remove more complex noise patterns from the phenomena of beam hardening and photon starvation common in low-dose CT. This algorithm extracts the directional components of artifacts and compares them to known artifact patterns, allowing for highly specific suppression of unwanted signals.27 In June 2019, the US Food and Drug Administration (FDA) approved ClariPi, a deep CNN program for advanced denoising and resolution improvement of low- and ultra low-dose CTs.28 Aside from only low-dose settings, this AI could reduce artifacts in all CT imaging modalities and improve therapeutic value of procedures, including cerebral angiograms and emergency cranial scans. As the average CT radiation dose decreased from 12 mSv in 2009 to 1.5 mSv in 2014 and continues to fall, these algorithms will become increasingly necessary to retain the high resolution and diagnostic power expected of neurologic CTs.29,30

Downstream Applications

Downstream applications refer to AI use after a radiologic study is acquired, mostly image interpretation. More than 70% of FDA-approved AI medical devices are in radiology, and many of these relate to image analysis.6,31 Although AI is not limited to black-and-white image interpretation, it is hypothesized that one of the reasons radiology is inviting to AI is because gray-scale images lend themselves to standardization.3 Moreover, most radiology departments already use AI-friendly picture archiving and communication systems.31,32

AI has been applied to a range of radiologic modalities, including MRI, CT, ultrasonography, PET, and mammography.32-38 AI also has been specifically applied to radiography, including the interpretation of tuberculosis, pneumonia, lung lesions, and COVID-19.33,39-45 AI also can assist triage, patient screening, providing a “second opinion” rapidly, shortening the time needed for attaining a diagnosis, monitoring disease progression, and predicting prognosis.37-39,43,45-47 Downstream applications of AI in neuroradiology and neurology include using CT to aid in detecting hemorrhage or ischemic stroke; using MRI to automatically segment lesions, such as tumors or MS lesions; assisting in early diagnosis and predicting prognosis in MS; assisting in treating paralysis, including from spinal cord injury; determining seizure type and localizing area of seizure onset; and using cameras, wearable devices, and smartphone applications to diagnose and assess treatment response in neurodegenerative disorders, such as Parkinson or Alzheimer diseases (Figure).37,48-56



Several AI tools have been deployed in the clinical setting, particularly triaging intracranial hemorrhage and moving these studies to the top of the radiologist’s worklist. In 2020 the Centers for Medicare and Medicaid Services (CMS) began reimbursing Viz.ai software’s AI-based Viz ContaCT (Viz LVO) with a new International Statistical Classification of Diseases, Tenth Revision procedure code.57

 

 



Viz LVO automatically detects large vessel occlusions, flags the occlusion on CT angiogram, alerts the stroke team (interventional radiologist, neuroradiologist, and neurologist), and transmits images through a secure application to the stroke team members’ mobile devices—all in less than 6 minutes from study acquisition to alarm notification.48 Additional software can quantify and measure perfusion in affected brain areas.48 This could have implications for quantifying and targeting areas of ischemic penumbra that could be salvaged after a stroke and then using that information to plan targeted treatment and/or intervention. Because many trials (DAWN/DEFUSE3) have shown benefits in stroke outcome by extending the therapeutic window for the endovascular thrombectomy, the ability to identify appropriate candidates is essential.58,59 Development of AI tools in assessing ischemic penumbra with quantitative parameters (mean transit time, cerebral blood volume, cerebral blood flow, mismatch ratio) using AI has benefited image interpretation. Medtronic RAPID software can provide quantitative assessment of CT perfusion. AI tools could be used to provide an automatic ASPECT score, which provides a quantitative measure for assessing potential ischemic zones and aids in assessing appropriate candidates for thrombectomy.

Several FDA-approved AI tools help quantify brain structures in neuroradiology, including quantitative analysis through MRI for analysis of anatomy and PET for analysis of functional uptake, assisting in more accurate and more objective detection and monitoring of conditions such as atrophy, dementia, trauma, seizure disorders, and MS.48 The growing number of FDA-approved AI technologies and the recent CMS-approved reimbursement for an AI tool indicate a changing landscape that is more accepting of downstream applications of AI in neuroradiology. As AI continues to integrate into medical regulation and finance, we predict AI will continue to play a prominent role in neuroradiology.

Practical and Ethical Considerations

In any discussion of the benefits of AI, it is prudent to address its shortcomings. Chief among these is overfitting, which occurs when an AI is too closely aligned with its training dataset and prone to error when applied to novel cases. Often this is a byproduct of a small training set.60 Neuroradiology, particularly with uncommon, advanced imaging methods, has a smaller number of available studies.61 Even with more prevalent imaging modalities, such as head CT, the work of collecting training scans from patients with the prerequisite disease processes, particularly if these processes are rare, can limit the number of datapoints collected. Neuroradiologists should understand how an AI tool was generated, including the size and variety of the training dataset used, to best gauge the clinical applicability and fitness of the system.

Another point of concern for AI clinical decision support tools’ implementation is automation bias—the tendency for clinicians to favor machine-generated decisions and ignore contrary data or conflicting human decisions.62 This situation often arises when radiologists experience overwhelming patient loads or are in underresourced settings, where there is little ability to review every AI-based diagnosis. Although AI might be of benefit in such conditions by reducing physician workload and streamlining the diagnostic process, there is the propensity to improperly rely on a tool meant to augment, not replace, a radiologist’s judgment. Such cases have led to adverse outcomes for patients, and legal precedence shows that this constitutes negligence.63 Maintaining awareness of each tool’s limitations and proper application is the only remedy for such situations.

Ethically, we must consider the opaqueness of ML-developed neuroimaging AIs. For many systems, the specific process by which an AI arrives at its conclusions is unknown. This AI “black box” can conceal potential errors and biases that are masked by overall positive performance metrics. The lack of understanding about how a tool functions in the zero-failure clinical setting understandably gives radiologists pause. The question must be asked: Is it ethical to use a system that is a relatively unknown quantity? Entities, including state governments, Canada, and the European Union, have produced an answer. Each of these governments have implemented policies requiring that health care AIs use some method to display to end users the process by which they arrive at conclusions.64-68

The 21st Century Cures Act declares that to attain approval, clinical AIs must demonstrate this explainability to clinicians and patients.69 The response has been an explosion in the development of explainable AI. Systems that visualize the areas where AI attention most often rests with heatmaps, generate labels for the most heavily weighted features of radiographic images, and create full diagnostic reports to justify AI conclusions aim to meet the goal of transparency and inspiring confidence in clinical end users.70 The ability to understand the “thought process” of a system proves useful for error correction and retooling. A trend toward under- or overdetecting conditions, flagging seemingly irrelevant image regions, or low reproducibility can be better addressed when it is clear how the AI is drawing its false conclusions. With an iterative process of testing and redesigning, false positive and negative rates can be reduced, the need for human intervention can be lowered to an appropriate minimum, and patient outcomes can be improved.71

Data collection raises another ethical concern. To train functional clinical decision support tools, massive amounts of patient demographic, laboratory, and imaging data are required. With incentives to develop the most powerful AI systems, record collection can venture down a path where patient autonomy and privacy are threatened. Radiologists have a duty to ensure data mining serves patients and improves the practice of radiology while protecting patients’ personal information.62 Policies have placed similar limits on the access to and use of patient records.64-69 Patients have the right to request explanation of the AI systems their data have been used to train. Approval for data acquisition requires the use of explainable AI, standardized data security protocol implementation, and adequate proof of communal benefit from the clinical decision support tool. Establishment of state-mandated protections bodes well for a future when developers can access enormous caches of data while patients and health care professionals are assured that no identifying information has escaped a well-regulated space. On the level of the individual radiologist, the knowledge that each datum represents a human life. These are people who has made themselves vulnerable by seeking relief for what ails them, which should serve as a lasting reminder to operate with utmost care when handling sensitive information.

Conclusions

The demonstrated applications of AI in neuroimaging are numerous and varied, and it is reasonable to assume that its implementation will increase as the technology matures. AI use for detecting important neurologic conditions holds promise in combatting ever greater imaging volumes and providing timely diagnoses. As medicine witnesses the continuing adoption of AI, it is important that practitioners possess an understanding of its current and emerging uses.

Artificial intelligence (AI) in medicine has shown significant promise, particularly in neuroimaging. AI refers to computer systems designed to perform tasks that normally require human intelligence.1 Machine learning (ML), a field in which computers learn from data without being specifically programmed, is the AI subset responsible for its success in matching or even surpassing humans in certain tasks.2

Supervised learning, a subset of ML, uses an algorithm with annotated data from which to learn.3 The program will use the characteristics of a training data set to predict a specific outcome or target when exposed to a sample data set of the same type. Unsupervised learning finds naturally occurring patterns or groupings within the data.4 With deep learning (DL) algorithms, computers learn the features that optimally represent the data for the problem at hand.5 Both ML and DL are meant to emulate neural networks in the brain, giving rise to artificial neural networks composed of nodes structured within input, hidden, and output layers.

The DL neural network differs from a conventional one by having many hidden layers instead of just 1 layer that extracts patterns within the data.6 Convolutional neural networks (CNNs) are the most prevalent DL architecture used in medical imaging. CNN’s hidden layers apply convolution and pooling operations to break down an image into features containing the most valuable information. The connecting layer applies high-level reasoning before the output layer provides predictions for the image. This framework has applications within radiology, such as predicting a lesion category or condition from an image, determining whether a specific pixel belongs to background or a target class, and predicting the location of lesions.1

AI promises to increase efficiency and reduces errors. With increased data processing and image interpretation, AI technology may help radiologists improve the quality of patient care.6 This article discusses the current applications and future integration of AI in neuroradiology.

Neuroimaging Applications

AI can improve the quality of neuroimaging and reduce the clinical and systemic loads of other imaging modalities. AI can predict patient wait times for computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, and X-ray imaging.7 A ML-based AI has detected the variables that most affected patient wait times, including proximity to federal holidays and severity of the patient’s condition, and calculated how long patients would be delayed after their scheduled appointment time. This AI modality could allow more efficient patient scheduling and reveal areas of patient processing that could be changed, potentially improving patient satisfaction and outcomes for time-sensitive neurologic conditions.

AI can save patient and health care practitioner time for repeat MRIs. An estimated 20% of MRI scans require a repeat series—a massive loss of time and funds for both patients and the health care system.8 A DL approach can determine whether an MRI is usable clinically or unclear enough to require repetition.9 This initial screening measure can prevent patients from making return visits and neuroradiologists from reading inconclusive images. AI offers the opportunity to reduce time and costs incurred by optimizing the health care process before imaging is obtained.

Speeding Up Neuroimaging

AI can reduce the time spent performing imaging. Because MRIs consume time and resources, compressed sensing (CS) is commonly used. CS preferentially maintains in-plane resolution at the expense of through-plane resolution to produce a scan with a single, usable viewpoint that preserves signal-to-noise ratio (SNR). CS, however, limits interpretation to single directions and can create aliasing artifacts. An AI algorithm known as synthetic multi-orientation resolution enhancement works in real time to reduce aliasing and improve resolution in these compressed scans.10 This AI improved resolution of white matter lesions in patients with multiple sclerosis (MS) on FLAIR (fluid-attenuated inversion recovery) images, and permitted multiview reconstruction from these limited scans.

Tasks of reconstructing and anti-aliasing come with high computational costs that vary inversely with the extent of scanning compression, potentially negating the time and resource savings of CS. DL AI modalities have been developed to reduce operational loads and further improve image resolution in several directions from CS. One such deep residual learning AI was trained with compressed MRIs and used the framelet method to create a CNN that could rapidly remove global and deeply coherent aliasing artifacts.11 This system, compared with synthetic multi-orientation resolution enhancement, uses a pretrained, pretested AI that does not require additional time during scanning for computational analysis, thereby multiplying the time benefit of CS while retaining the benefits of multidirectional reconstruction and increased resolution. This methodology suffers from inherent degradation of perceptual image quality in its reconstructions because of the L2 loss function the CNN uses to reduce mean squared error, which causes blurring by averaging all possible outcomes of signal distribution during reconstruction. To combat this, researchers have developed another AI to reduce reconstruction times that uses a different loss function in a generative adversarial network to retain image quality, while offering reconstruction times several hundred times faster than current CS-MRI structures.12 So-called sparse-coding methods promise further reduction in reconstruction times, with the possibility of processing completed online with a lightweight architecture rather than on a local system.13

Neuroimaging of acute cases benefits most directly from these technologies because MRIs and their high resolution and SNR begin to approach CT imaging time scales. This could have important implications in clinical care, particularly for stroke imaging and evaluating spinal cord compression. CS-MRI optimization represents one of the greatest areas of neuroimaging cost savings and neurologic care improvement in the modern radiology era.

 

 

Reducing Contrast and Radiation Doses

AI has the ability to read CT, MRI, and positron emission tomography (PET) with reduced or without contrast without significant loss in sensitivity for detecting lesions. With MRI, gadolinium-based contrast can cause injection site reactions, allergic reactions, metal deposition throughout the body, and nephrogenic systemic fibrosis in the most severe instances.14 DL has been applied to brain MRIs performed with 10% of a full dose of contrast without significant degradation of image quality. Neuroradiologists did not rate the AI-synthesized images for several MRI indications lower than their full-dose counterparts.15 Low-dose contrast imaging, regardless of modality, generates greater noise with a significantly reduced signal. However, with AI applied, researchers found that the software suppressed motion and aliasing artifacts and improved image quality, perhaps evidence that this low-dose modality is less vulnerable to the most common pitfalls of MRI.

Recently, low-dose MRI moved into the spotlight when Subtle Medical SubtleGAD software received a National Institutes of Health grant and an expedited pathway to phase 2 clinical trials.16 SubtleGAD, a DL AI that enables low-dose MRI interpretation, might allow contrast MRI for patients with advanced kidney disease or contrast allergies. At some point, contrast with MRI might not be necessary because DL AI applied to noncontrast MRs for detecting MS lesions was found to be preliminarily effective with 78% lesion detection sensitivity.17

PET-MRI combines simultaneous PET and MRI and has been used to evaluate neurologic disorders. PET-MRI can detect amyloid plaques in Alzheimer disease 10 to 20 years before clinical signs of dementia emerge.18 PET-MRI has sparked DL AI development to decrease the dose of the IV radioactive tracer 18F-florbetaben used in imaging to reduce radiation exposure and imaging costs.This reduction is critical if PET-MRI is to become used widely.19-21

An initial CNN could reconstruct low-dose amyloid scans to full-dose resolution, albeit with a greater susceptibility to some artifacts and motion blurring.22 Similar to the synthetic multi-orientation resolution enhancement CNN, this program showed signal blurring from the L2 loss function, which was corrected in a later AI that used a generative adversarial network to minimize perceptual loss.23 This new AI demonstrated greater image resolution, feature preservation, and radiologist rating over the previous AI and was capable of reconstructing low-dose PET scans to full-dose resolution without an accompanying MRI. Applications of this algorithm are far-reaching, potentially allowing neuroimaging of brain tumors at more frequent intervals with higher resolution and lower total radiation exposure.

AI also has been applied to neurologic CT to reduce radiation exposure.24 Because it is critical to abide by the principles of ALARA (as low as reasonably achievable), the ability of AI to reduce radiation exposure holds significant promise. A CNN has been used to transform low-dose CTs of anthropomorphic models with calcium inserts and cardiac patients to normal-dose CTs, with the goal of improving the SNR.25 By training a noise-discriminating CNN and a noise-generating CNN together in a generative adversarial network, the AI improved image feature preservation during transformation. This algorithm has a direct application in imaging cerebral vasculature, including calcification that can explain lacunar infarcts and tracking systemic atherosclerosis.26

Another CNN has been applied to remove more complex noise patterns from the phenomena of beam hardening and photon starvation common in low-dose CT. This algorithm extracts the directional components of artifacts and compares them to known artifact patterns, allowing for highly specific suppression of unwanted signals.27 In June 2019, the US Food and Drug Administration (FDA) approved ClariPi, a deep CNN program for advanced denoising and resolution improvement of low- and ultra low-dose CTs.28 Aside from only low-dose settings, this AI could reduce artifacts in all CT imaging modalities and improve therapeutic value of procedures, including cerebral angiograms and emergency cranial scans. As the average CT radiation dose decreased from 12 mSv in 2009 to 1.5 mSv in 2014 and continues to fall, these algorithms will become increasingly necessary to retain the high resolution and diagnostic power expected of neurologic CTs.29,30

Downstream Applications

Downstream applications refer to AI use after a radiologic study is acquired, mostly image interpretation. More than 70% of FDA-approved AI medical devices are in radiology, and many of these relate to image analysis.6,31 Although AI is not limited to black-and-white image interpretation, it is hypothesized that one of the reasons radiology is inviting to AI is because gray-scale images lend themselves to standardization.3 Moreover, most radiology departments already use AI-friendly picture archiving and communication systems.31,32

AI has been applied to a range of radiologic modalities, including MRI, CT, ultrasonography, PET, and mammography.32-38 AI also has been specifically applied to radiography, including the interpretation of tuberculosis, pneumonia, lung lesions, and COVID-19.33,39-45 AI also can assist triage, patient screening, providing a “second opinion” rapidly, shortening the time needed for attaining a diagnosis, monitoring disease progression, and predicting prognosis.37-39,43,45-47 Downstream applications of AI in neuroradiology and neurology include using CT to aid in detecting hemorrhage or ischemic stroke; using MRI to automatically segment lesions, such as tumors or MS lesions; assisting in early diagnosis and predicting prognosis in MS; assisting in treating paralysis, including from spinal cord injury; determining seizure type and localizing area of seizure onset; and using cameras, wearable devices, and smartphone applications to diagnose and assess treatment response in neurodegenerative disorders, such as Parkinson or Alzheimer diseases (Figure).37,48-56



Several AI tools have been deployed in the clinical setting, particularly triaging intracranial hemorrhage and moving these studies to the top of the radiologist’s worklist. In 2020 the Centers for Medicare and Medicaid Services (CMS) began reimbursing Viz.ai software’s AI-based Viz ContaCT (Viz LVO) with a new International Statistical Classification of Diseases, Tenth Revision procedure code.57

 

 



Viz LVO automatically detects large vessel occlusions, flags the occlusion on CT angiogram, alerts the stroke team (interventional radiologist, neuroradiologist, and neurologist), and transmits images through a secure application to the stroke team members’ mobile devices—all in less than 6 minutes from study acquisition to alarm notification.48 Additional software can quantify and measure perfusion in affected brain areas.48 This could have implications for quantifying and targeting areas of ischemic penumbra that could be salvaged after a stroke and then using that information to plan targeted treatment and/or intervention. Because many trials (DAWN/DEFUSE3) have shown benefits in stroke outcome by extending the therapeutic window for the endovascular thrombectomy, the ability to identify appropriate candidates is essential.58,59 Development of AI tools in assessing ischemic penumbra with quantitative parameters (mean transit time, cerebral blood volume, cerebral blood flow, mismatch ratio) using AI has benefited image interpretation. Medtronic RAPID software can provide quantitative assessment of CT perfusion. AI tools could be used to provide an automatic ASPECT score, which provides a quantitative measure for assessing potential ischemic zones and aids in assessing appropriate candidates for thrombectomy.

Several FDA-approved AI tools help quantify brain structures in neuroradiology, including quantitative analysis through MRI for analysis of anatomy and PET for analysis of functional uptake, assisting in more accurate and more objective detection and monitoring of conditions such as atrophy, dementia, trauma, seizure disorders, and MS.48 The growing number of FDA-approved AI technologies and the recent CMS-approved reimbursement for an AI tool indicate a changing landscape that is more accepting of downstream applications of AI in neuroradiology. As AI continues to integrate into medical regulation and finance, we predict AI will continue to play a prominent role in neuroradiology.

Practical and Ethical Considerations

In any discussion of the benefits of AI, it is prudent to address its shortcomings. Chief among these is overfitting, which occurs when an AI is too closely aligned with its training dataset and prone to error when applied to novel cases. Often this is a byproduct of a small training set.60 Neuroradiology, particularly with uncommon, advanced imaging methods, has a smaller number of available studies.61 Even with more prevalent imaging modalities, such as head CT, the work of collecting training scans from patients with the prerequisite disease processes, particularly if these processes are rare, can limit the number of datapoints collected. Neuroradiologists should understand how an AI tool was generated, including the size and variety of the training dataset used, to best gauge the clinical applicability and fitness of the system.

Another point of concern for AI clinical decision support tools’ implementation is automation bias—the tendency for clinicians to favor machine-generated decisions and ignore contrary data or conflicting human decisions.62 This situation often arises when radiologists experience overwhelming patient loads or are in underresourced settings, where there is little ability to review every AI-based diagnosis. Although AI might be of benefit in such conditions by reducing physician workload and streamlining the diagnostic process, there is the propensity to improperly rely on a tool meant to augment, not replace, a radiologist’s judgment. Such cases have led to adverse outcomes for patients, and legal precedence shows that this constitutes negligence.63 Maintaining awareness of each tool’s limitations and proper application is the only remedy for such situations.

Ethically, we must consider the opaqueness of ML-developed neuroimaging AIs. For many systems, the specific process by which an AI arrives at its conclusions is unknown. This AI “black box” can conceal potential errors and biases that are masked by overall positive performance metrics. The lack of understanding about how a tool functions in the zero-failure clinical setting understandably gives radiologists pause. The question must be asked: Is it ethical to use a system that is a relatively unknown quantity? Entities, including state governments, Canada, and the European Union, have produced an answer. Each of these governments have implemented policies requiring that health care AIs use some method to display to end users the process by which they arrive at conclusions.64-68

The 21st Century Cures Act declares that to attain approval, clinical AIs must demonstrate this explainability to clinicians and patients.69 The response has been an explosion in the development of explainable AI. Systems that visualize the areas where AI attention most often rests with heatmaps, generate labels for the most heavily weighted features of radiographic images, and create full diagnostic reports to justify AI conclusions aim to meet the goal of transparency and inspiring confidence in clinical end users.70 The ability to understand the “thought process” of a system proves useful for error correction and retooling. A trend toward under- or overdetecting conditions, flagging seemingly irrelevant image regions, or low reproducibility can be better addressed when it is clear how the AI is drawing its false conclusions. With an iterative process of testing and redesigning, false positive and negative rates can be reduced, the need for human intervention can be lowered to an appropriate minimum, and patient outcomes can be improved.71

Data collection raises another ethical concern. To train functional clinical decision support tools, massive amounts of patient demographic, laboratory, and imaging data are required. With incentives to develop the most powerful AI systems, record collection can venture down a path where patient autonomy and privacy are threatened. Radiologists have a duty to ensure data mining serves patients and improves the practice of radiology while protecting patients’ personal information.62 Policies have placed similar limits on the access to and use of patient records.64-69 Patients have the right to request explanation of the AI systems their data have been used to train. Approval for data acquisition requires the use of explainable AI, standardized data security protocol implementation, and adequate proof of communal benefit from the clinical decision support tool. Establishment of state-mandated protections bodes well for a future when developers can access enormous caches of data while patients and health care professionals are assured that no identifying information has escaped a well-regulated space. On the level of the individual radiologist, the knowledge that each datum represents a human life. These are people who has made themselves vulnerable by seeking relief for what ails them, which should serve as a lasting reminder to operate with utmost care when handling sensitive information.

Conclusions

The demonstrated applications of AI in neuroimaging are numerous and varied, and it is reasonable to assume that its implementation will increase as the technology matures. AI use for detecting important neurologic conditions holds promise in combatting ever greater imaging volumes and providing timely diagnoses. As medicine witnesses the continuing adoption of AI, it is important that practitioners possess an understanding of its current and emerging uses.

References

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2. King BF Jr. Guest editorial: discovery and artificial intelligence. AJR Am J Roentgenol. 2017;209(6):1189-1190. doi:10.2214/AJR.17.19178

3. Syed AB, Zoga AC. Artificial intelligence in radiology: current technology and future directions. Semin Musculoskelet Radiol. 2018;22(5):540-545. doi:10.1055/s-0038-1673383

4. Deo RC. Machine learning in medicine. Circulation. 2015;132(20):1920-1930. doi:10.1161/CIRCULATIONAHA.115.001593 5. Litjens G, Kooi T, Bejnordi BE, et al. A survey on deep learning in medical image analysis. Med Image Anal. 2017;42:60-88. doi:10.1016/j.media.2017.07.005

6. Pesapane F, Codari M, Sardanelli F. Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine. Eur Radiol Exp. 2018;2(1):35. doi:10.1186/s41747-018-0061-6

7. Curtis C, Liu C, Bollerman TJ, Pianykh OS. Machine learning for predicting patient wait times and appointment delays. J Am Coll Radiol. 2018;15(9):1310-1316. doi:10.1016/j.jacr.2017.08.021

8. Andre JB, Bresnahan BW, Mossa-Basha M, et al. Toward quantifying the prevalence, severity, and cost associated with patient motion during clinical MR examinations. J Am Coll Radiol. 2015;12(7):689-695. doi:10.1016/j.jacr.2015.03.007

9. Sreekumari A, Shanbhag D, Yeo D, et al. A deep learning-based approach to reduce rescan and recall rates in clinical MRI examinations. AJNR Am J Neuroradiol. 2019;40(2):217-223. doi:10.3174/ajnr.A5926

10. Zhao C, Shao M, Carass A, et al. Applications of a deep learning method for anti-aliasing and super-resolution in MRI. Magn Reson Imaging. 2019;64:132-141. doi:10.1016/j.mri.2019.05.038

11. Lee D, Yoo J, Tak S, Ye JC. Deep residual learning for accelerated MRI using magnitude and phase networks. IEEE Trans Biomed Eng. 2018;65(9):1985-1995. doi:10.1109/TBME.2018.2821699

12. Mardani M, Gong E, Cheng JY, et al. Deep generative adversarial neural networks for compressive sensing MRI. IEEE Trans Med Imaging. 2019;38(1):167-179. doi:10.1109/TMI.2018.2858752

13. Dong C, Loy CC, He K, Tang X. Image super-resolution using deep convolutional networks. IEEE Trans Pattern Anal Mach Intell. 2016;38(2):295-307. doi:10.1109/TPAMI.2015.2439281

14. Sammet S. Magnetic resonance safety. Abdom Radiol (NY). 2016;41(3):444-451. doi:10.1007/s00261-016-0680-4

15. Gong E, Pauly JM, Wintermark M, Zaharchuk G. Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI. J Magn Reson Imaging. 2018;48(2):330-340. doi:10.1002/jmri.25970

16. Subtle Medical NIH awards Subtle Medical, Inc. $1.6 million grant to improve safety of MRI exams by reducing gadolinium dose using AI. Press release. September 18, 2019. Accessed March 14, 2022. https://www.biospace.com/article/releases/nih-awards-subtle-medical-inc-1-6-million-grant-to-improve-safety-of-mri-exams-by-reducing-gadolinium-dose-using-ai

17. Narayana PA, Coronado I, Sujit SJ, Wolinsky JS, Lublin FD, Gabr RE. Deep learning for predicting enhancing lesions in multiple sclerosis from noncontrast MRI. Radiology. 2020;294(2):398-404. doi:10.1148/radiol.2019191061

18. Jack CR Jr, Knopman DS, Jagust WJ, et al. Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade. Lancet Neurol. 2010;9(1):119-128. doi:10.1016/S1474-4422(09)70299-6

19. Gatidis S, Würslin C, Seith F, et al. Towards tracer dose reduction in PET studies: simulation of dose reduction by retrospective randomized undersampling of list-mode data. Hell J Nucl Med. 2016;19(1):15-18. doi:10.1967/s002449910333

20. Kaplan S, Zhu YM. Full-dose PET image estimation from low-dose PET image using deep learning: a pilot study. J Digit Imaging. 2019;32(5):773-778. doi:10.1007/s10278-018-0150-3

21. Xu J, Gong E, Pauly J, Zaharchuk G. 200x low-dose PET reconstruction using deep learning. arXiv: 1712.04119. Accessed 2/16/2022. https://arxiv.org/pdf/1712.04119.pdf

22. Chen KT, Gong E, de Carvalho Macruz FB, et al. Ultra-low-dose 18F-florbetaben amyloid PET imaging using deep learning with multi-contrast MRI inputs. Radiology. 2019;290(3):649-656. doi:10.1148/radiol.2018180940

23. Ouyang J, Chen KT, Gong E, Pauly J, Zaharchuk G. Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual loss. Med Phys. 2019;46(8):3555-3564. doi:10.1002/mp.13626

24. Brenner DJ, Hall EJ. Computed tomography—an increasing source of radiation exposure. N Engl J Med. 2007;357(22):2277-2284. doi:10.1056/NEJMra072149

25. Wolterink JM, Leiner T, Viergever MA, Isgum I. Generative adversarial networks for noise reduction in low-dose CT. IEEE Trans Med Imaging. 2017;36(12):2536-2545. doi:10.1109/TMI.2017.2708987

26. Sohn YH, Cheon HY, Jeon P, Kang SY. Clinical implication of cerebral artery calcification on brain CT. Cerebrovasc Dis. 2004;18(4):332-337. doi:10.1159/000080772

27. Kang E, Min J, Ye JC. A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction. Med Phys. 2017;44(10):e360-e375. doi:10.1002/mp.12344

28. ClariPi gets FDA clearance for AI-powered CT image denoising solution. Published June 24, 2019. Accessed February 16, 2022. https://www.itnonline.com/content/claripi-gets-fda-clearance-ai-powered-ct-image-denoising-solution

29. Hausleiter J, Meyer T, Hermann F, et al. Estimated radiation dose associated with cardiac CT angiography. JAMA. 2009;301(5):500-507. doi:10.1001/jama.2009.54

30. Al-Mallah M, Aljizeeri A, Alharthi M, Alsaileek A. Routine low-radiation-dose coronary computed tomography angiography. Eur Heart J Suppl. 2014;16(suppl B):B12-B16. doi:10.1093/eurheartj/suu024

31. Benjamens S, Dhunnoo P, Meskó B. The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database. NPJ Digit Med. 2020;3:118. doi:10.1038/s41746-020-00324-0

32. Talebi-Liasi F, Markowitz O. Is artificial intelligence going to replace dermatologists? Cutis. 2020;105(1):28-31.

33. Khan O, Bebb G, Alimohamed NA. Artificial intelligence in medicine: what oncologists need to know about its potential—and its limitations. Oncology Exchange. 2017;16(4):8-13. http://www.oncologyex.com/pdf/vol16_no4/feature_khan-ai.pdf

34. Liu X, Faes L, Kale AU, et al. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. Lancet Digit Health. 2019;1(6):e271-e297. doi:10.1016/S2589-7500(19)30123-2

35. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44-56. doi:10.1038/s41591-018-0300-7

36. Salim M, Wåhlin E, Dembrower K, et al. External evaluation of 3 commercial artificial intelligence algorithms for independent assessment of screening mammograms. JAMA Oncol. 2020;6(10):1581-1588. doi:10.1001/jamaoncol.2020.3321

37. Arbabshirani MR, Fornwalt BK, Mongelluzzo GJ, et al. Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. NPJ Digit Med. 2018;1(1):1-7. doi:10.1038/s41746-017-0015-z

38. Sheth D, Giger ML. Artificial intelligence in the interpretation of breast cancer on MRI. J Magn Reson Imaging. 2020;51(5):1310-1324. doi:10.1002/jmri.26878

39. Borkowski AA, Viswanadhan NA, Thomas LB, Guzman RD, Deland LA, Mastorides SM. Using artificial intelligence for COVID-19 chest X-ray diagnosis. Fed Pract. 2020;37(9):398-404. doi:10.12788/fp.0045

40. Kermany DS, Goldbaum M, Cai W, et al. Identifying medical diagnoses and treatable diseases by image-based deep learning. Cell. 2018;172(5):1122-1131.e9. doi:10.1016/j.cell.2018.02.010

41. Nam JG, Park S, Hwang EJ, et al. Development and validation of deep learning-based automatic detection algorithm for malignant pulmonary nodules on chest radiographs. Radiology. 2019;290(1):218-228. doi:10.1148/radiol.2018180237

42. Zech JR, Badgeley MA, Liu M, Costa AB, Titano JJ, Oermann EK. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study. PLoS Med. 2018;15(11):e1002683. doi:10.1371/journal.pmed.1002683

43. Lakhani P, Sundaram B. Deep learning at chest radiography: automated classification of pulmonary tuberculosis by using convolutional neural networks. Radiology. 2017;284(2):574-582. doi:10.1148/radiol.2017162326

44. Rajpurkar P, Joshi A, Pareek A, et al. CheXpedition: investigating generalization challenges for translation of chest X-Ray algorithms to the clinical setting. arXiv preprint arXiv:200211379. Accessed February 16, 2022. https://arxiv.org/pdf/2002.11379.pdf

45. He J, Baxter SL, Xu J, Xu J, Zhou X, Zhang K. The practical implementation of artificial intelligence technologies in medicine. Nat Med. 2019;25(1):30-36. doi:10.1038/s41591-018-0307-0

46. Meyer-Bäse A, Morra L, Meyer-Bäse U, Pinker K. Current status and future perspectives of artificial intelligence in magnetic resonance breast imaging. Contrast Media Mol Imaging. 2020;2020:6805710. doi:10.1155/2020/6805710

47. Booth AL, Abels E, McCaffrey P. Development of a prognostic model for mortality in COVID-19 infection using machine learning. Mod Pathol. 2020;4(3):522-531. doi:10.1038/s41379-020-00700-x

48. Bash S. Enhancing neuroimaging with artificial intelligence. Applied Radiology. 2020;49(1):20-21.

49. Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2(4):230-243. doi:10.1136/svn-2017-000101

50. Valliani AA, Ranti D, Oermann EK. Deep learning and neurology: a systematic review. Neurol Ther. 2019;8(2):351-365. doi:10.1007/s40120-019-00153-8

51. Gupta R, Krishnam SP, Schaefer PW, Lev MH, Gonzalez RG. An east coast perspective on artificial intelligence and machine learning: part 2: ischemic stroke imaging and triage. Neuroimaging Clin N Am. 2020;30(4):467-478. doi:10.1016/j.nic.2020.08.002

52. Belić M, Bobić V, Badža M, Šolaja N, Đurić-Jovičić M, Kostić VS. Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease-A review. Clin Neurol Neurosurg. 2019;184:105442. doi:10.1016/j.clineuro.2019.105442

53. An S, Kang C, Lee HW. Artificial intelligence and computational approaches for epilepsy. J Epilepsy Res. 2020;10(1):8-17. doi:10.14581/jer.20003

54. Pavel AM, Rennie JM, de Vries LS, et al. A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial. Lancet Child Adolesc Health. 2020;4(10):740-749. doi:10.1016/S2352-4642(20)30239-X

55. Afzal HMR, Luo S, Ramadan S, Lechner-Scott J. The emerging role of artificial intelligence in multiple sclerosis imaging. Mult Scler. 2020;1352458520966298. doi:10.1177/1352458520966298

56. Bouton CE. Restoring movement in paralysis with a bioelectronic neural bypass approach: current state and future directions. Cold Spring Harb Perspect Med. 2019;9(11):a034306. doi:10.1101/cshperspect.a034306

57. Hassan AE. New technology add-on payment (NTAP) for Viz LVO: a win for stroke care. J Neurointerv Surg. 2020;neurintsurg-2020-016897. doi:10.1136/neurintsurg-2020-016897

58. Nogueira RG , Jadhav AP , Haussen DC , et al; DAWN Trial Investigators. Thrombectomy 6 to 24 hours after stroke with a mismatch between deficit and infarct. N Engl J Med. 2018;378:11–21. doi:10.1056/NEJMoa1706442

59. Albers GW , Marks MP , Kemp S , et al; DEFUSE 3 Investigators. Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. N Engl J Med. 2018;378:708–18. doi:10.1056/NEJMoa1713973

60. Bi WL, Hosny A, Schabath MB, et al. Artificial intelligence in cancer imaging: clinical challenges and applications. CA Cancer J Clin. 2019;69(2):127-157. doi:10.3322/caac.21552 

61. Wagner MW, Namdar K, Biswas A, Monah S, Khalvati F, Ertl-Wagner BB. Radiomics, machine learning, and artificial intelligence-what the neuroradiologist needs to know. Neuroradiology. 2021;63(12):1957-1967. doi:10.1007/s00234-021-02813-9 

62. Geis JR, Brady AP, Wu CC, et al. Ethics of artificial intelligence in radiology: summary of the Joint European and North American Multisociety Statement. J Am Coll Radiol. 2019;16(11):1516-1521. doi:10.1016/j.jacr.2019.07.028

63. Kingston J. Artificial intelligence and legal liability. arXiv:1802.07782. https://arxiv.org/ftp/arxiv/papers/1802/1802.07782.pdf

64. Council of the European Union, General Data Protection Regulation. Official Journal of the European Union. Accessed February 16, 2022. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32016R0679

65. Consumer Privacy Protection Act of 2017, HR 4081, 115th Cong (2017). Accessed February 10, 2022. https://www.congress.gov/bill/115th-congress/house-bill/4081

66. Cal. Civ. Code § 1798.198(a) (2018). California Consumer Privacy Act of 2018.

67. Va. Code Ann. § 59.1 (2021). Consumer Data Protection Act. Accessed February 10, 2022. https://lis.virginia.gov/cgi-bin/legp604.exe?212+ful+SB1392ER+pdf

68. Colo. Rev. Stat. § 6-1-1301 (2021). Colorado Privacy Act. Accessed February 10, 2022. https://leg.colorado.gov/sites/default/files/2021a_190_signed.pdf

69. 21st Century Cures Act, Pub L No. 114-255 (2016). Accessed February 10, 2022. https://www.govinfo.gov/content/pkg/PLAW-114publ255/html/PLAW-114publ255.htm

70. Huff DT, Weisman AJ, Jeraj R. Interpretation and visualization techniques for deep learning models in medical imaging. Phys Med Biol. 2021;66(4):04TR01. doi:10.1088/1361-6560/abcd17

71. Thrall JH, Li X, Li Q, et al. Artificial intelligence and machine learning in radiology: opportunities, challenges, pitfalls, and criteria for success. J Am Coll Radiol. 2018;15(3, pt B):504-508. doi:10.1016/j.jacr.2017.12.026

References

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2. King BF Jr. Guest editorial: discovery and artificial intelligence. AJR Am J Roentgenol. 2017;209(6):1189-1190. doi:10.2214/AJR.17.19178

3. Syed AB, Zoga AC. Artificial intelligence in radiology: current technology and future directions. Semin Musculoskelet Radiol. 2018;22(5):540-545. doi:10.1055/s-0038-1673383

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16. Subtle Medical NIH awards Subtle Medical, Inc. $1.6 million grant to improve safety of MRI exams by reducing gadolinium dose using AI. Press release. September 18, 2019. Accessed March 14, 2022. https://www.biospace.com/article/releases/nih-awards-subtle-medical-inc-1-6-million-grant-to-improve-safety-of-mri-exams-by-reducing-gadolinium-dose-using-ai

17. Narayana PA, Coronado I, Sujit SJ, Wolinsky JS, Lublin FD, Gabr RE. Deep learning for predicting enhancing lesions in multiple sclerosis from noncontrast MRI. Radiology. 2020;294(2):398-404. doi:10.1148/radiol.2019191061

18. Jack CR Jr, Knopman DS, Jagust WJ, et al. Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade. Lancet Neurol. 2010;9(1):119-128. doi:10.1016/S1474-4422(09)70299-6

19. Gatidis S, Würslin C, Seith F, et al. Towards tracer dose reduction in PET studies: simulation of dose reduction by retrospective randomized undersampling of list-mode data. Hell J Nucl Med. 2016;19(1):15-18. doi:10.1967/s002449910333

20. Kaplan S, Zhu YM. Full-dose PET image estimation from low-dose PET image using deep learning: a pilot study. J Digit Imaging. 2019;32(5):773-778. doi:10.1007/s10278-018-0150-3

21. Xu J, Gong E, Pauly J, Zaharchuk G. 200x low-dose PET reconstruction using deep learning. arXiv: 1712.04119. Accessed 2/16/2022. https://arxiv.org/pdf/1712.04119.pdf

22. Chen KT, Gong E, de Carvalho Macruz FB, et al. Ultra-low-dose 18F-florbetaben amyloid PET imaging using deep learning with multi-contrast MRI inputs. Radiology. 2019;290(3):649-656. doi:10.1148/radiol.2018180940

23. Ouyang J, Chen KT, Gong E, Pauly J, Zaharchuk G. Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual loss. Med Phys. 2019;46(8):3555-3564. doi:10.1002/mp.13626

24. Brenner DJ, Hall EJ. Computed tomography—an increasing source of radiation exposure. N Engl J Med. 2007;357(22):2277-2284. doi:10.1056/NEJMra072149

25. Wolterink JM, Leiner T, Viergever MA, Isgum I. Generative adversarial networks for noise reduction in low-dose CT. IEEE Trans Med Imaging. 2017;36(12):2536-2545. doi:10.1109/TMI.2017.2708987

26. Sohn YH, Cheon HY, Jeon P, Kang SY. Clinical implication of cerebral artery calcification on brain CT. Cerebrovasc Dis. 2004;18(4):332-337. doi:10.1159/000080772

27. Kang E, Min J, Ye JC. A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction. Med Phys. 2017;44(10):e360-e375. doi:10.1002/mp.12344

28. ClariPi gets FDA clearance for AI-powered CT image denoising solution. Published June 24, 2019. Accessed February 16, 2022. https://www.itnonline.com/content/claripi-gets-fda-clearance-ai-powered-ct-image-denoising-solution

29. Hausleiter J, Meyer T, Hermann F, et al. Estimated radiation dose associated with cardiac CT angiography. JAMA. 2009;301(5):500-507. doi:10.1001/jama.2009.54

30. Al-Mallah M, Aljizeeri A, Alharthi M, Alsaileek A. Routine low-radiation-dose coronary computed tomography angiography. Eur Heart J Suppl. 2014;16(suppl B):B12-B16. doi:10.1093/eurheartj/suu024

31. Benjamens S, Dhunnoo P, Meskó B. The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database. NPJ Digit Med. 2020;3:118. doi:10.1038/s41746-020-00324-0

32. Talebi-Liasi F, Markowitz O. Is artificial intelligence going to replace dermatologists? Cutis. 2020;105(1):28-31.

33. Khan O, Bebb G, Alimohamed NA. Artificial intelligence in medicine: what oncologists need to know about its potential—and its limitations. Oncology Exchange. 2017;16(4):8-13. http://www.oncologyex.com/pdf/vol16_no4/feature_khan-ai.pdf

34. Liu X, Faes L, Kale AU, et al. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. Lancet Digit Health. 2019;1(6):e271-e297. doi:10.1016/S2589-7500(19)30123-2

35. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44-56. doi:10.1038/s41591-018-0300-7

36. Salim M, Wåhlin E, Dembrower K, et al. External evaluation of 3 commercial artificial intelligence algorithms for independent assessment of screening mammograms. JAMA Oncol. 2020;6(10):1581-1588. doi:10.1001/jamaoncol.2020.3321

37. Arbabshirani MR, Fornwalt BK, Mongelluzzo GJ, et al. Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. NPJ Digit Med. 2018;1(1):1-7. doi:10.1038/s41746-017-0015-z

38. Sheth D, Giger ML. Artificial intelligence in the interpretation of breast cancer on MRI. J Magn Reson Imaging. 2020;51(5):1310-1324. doi:10.1002/jmri.26878

39. Borkowski AA, Viswanadhan NA, Thomas LB, Guzman RD, Deland LA, Mastorides SM. Using artificial intelligence for COVID-19 chest X-ray diagnosis. Fed Pract. 2020;37(9):398-404. doi:10.12788/fp.0045

40. Kermany DS, Goldbaum M, Cai W, et al. Identifying medical diagnoses and treatable diseases by image-based deep learning. Cell. 2018;172(5):1122-1131.e9. doi:10.1016/j.cell.2018.02.010

41. Nam JG, Park S, Hwang EJ, et al. Development and validation of deep learning-based automatic detection algorithm for malignant pulmonary nodules on chest radiographs. Radiology. 2019;290(1):218-228. doi:10.1148/radiol.2018180237

42. Zech JR, Badgeley MA, Liu M, Costa AB, Titano JJ, Oermann EK. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study. PLoS Med. 2018;15(11):e1002683. doi:10.1371/journal.pmed.1002683

43. Lakhani P, Sundaram B. Deep learning at chest radiography: automated classification of pulmonary tuberculosis by using convolutional neural networks. Radiology. 2017;284(2):574-582. doi:10.1148/radiol.2017162326

44. Rajpurkar P, Joshi A, Pareek A, et al. CheXpedition: investigating generalization challenges for translation of chest X-Ray algorithms to the clinical setting. arXiv preprint arXiv:200211379. Accessed February 16, 2022. https://arxiv.org/pdf/2002.11379.pdf

45. He J, Baxter SL, Xu J, Xu J, Zhou X, Zhang K. The practical implementation of artificial intelligence technologies in medicine. Nat Med. 2019;25(1):30-36. doi:10.1038/s41591-018-0307-0

46. Meyer-Bäse A, Morra L, Meyer-Bäse U, Pinker K. Current status and future perspectives of artificial intelligence in magnetic resonance breast imaging. Contrast Media Mol Imaging. 2020;2020:6805710. doi:10.1155/2020/6805710

47. Booth AL, Abels E, McCaffrey P. Development of a prognostic model for mortality in COVID-19 infection using machine learning. Mod Pathol. 2020;4(3):522-531. doi:10.1038/s41379-020-00700-x

48. Bash S. Enhancing neuroimaging with artificial intelligence. Applied Radiology. 2020;49(1):20-21.

49. Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2(4):230-243. doi:10.1136/svn-2017-000101

50. Valliani AA, Ranti D, Oermann EK. Deep learning and neurology: a systematic review. Neurol Ther. 2019;8(2):351-365. doi:10.1007/s40120-019-00153-8

51. Gupta R, Krishnam SP, Schaefer PW, Lev MH, Gonzalez RG. An east coast perspective on artificial intelligence and machine learning: part 2: ischemic stroke imaging and triage. Neuroimaging Clin N Am. 2020;30(4):467-478. doi:10.1016/j.nic.2020.08.002

52. Belić M, Bobić V, Badža M, Šolaja N, Đurić-Jovičić M, Kostić VS. Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease-A review. Clin Neurol Neurosurg. 2019;184:105442. doi:10.1016/j.clineuro.2019.105442

53. An S, Kang C, Lee HW. Artificial intelligence and computational approaches for epilepsy. J Epilepsy Res. 2020;10(1):8-17. doi:10.14581/jer.20003

54. Pavel AM, Rennie JM, de Vries LS, et al. A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial. Lancet Child Adolesc Health. 2020;4(10):740-749. doi:10.1016/S2352-4642(20)30239-X

55. Afzal HMR, Luo S, Ramadan S, Lechner-Scott J. The emerging role of artificial intelligence in multiple sclerosis imaging. Mult Scler. 2020;1352458520966298. doi:10.1177/1352458520966298

56. Bouton CE. Restoring movement in paralysis with a bioelectronic neural bypass approach: current state and future directions. Cold Spring Harb Perspect Med. 2019;9(11):a034306. doi:10.1101/cshperspect.a034306

57. Hassan AE. New technology add-on payment (NTAP) for Viz LVO: a win for stroke care. J Neurointerv Surg. 2020;neurintsurg-2020-016897. doi:10.1136/neurintsurg-2020-016897

58. Nogueira RG , Jadhav AP , Haussen DC , et al; DAWN Trial Investigators. Thrombectomy 6 to 24 hours after stroke with a mismatch between deficit and infarct. N Engl J Med. 2018;378:11–21. doi:10.1056/NEJMoa1706442

59. Albers GW , Marks MP , Kemp S , et al; DEFUSE 3 Investigators. Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. N Engl J Med. 2018;378:708–18. doi:10.1056/NEJMoa1713973

60. Bi WL, Hosny A, Schabath MB, et al. Artificial intelligence in cancer imaging: clinical challenges and applications. CA Cancer J Clin. 2019;69(2):127-157. doi:10.3322/caac.21552 

61. Wagner MW, Namdar K, Biswas A, Monah S, Khalvati F, Ertl-Wagner BB. Radiomics, machine learning, and artificial intelligence-what the neuroradiologist needs to know. Neuroradiology. 2021;63(12):1957-1967. doi:10.1007/s00234-021-02813-9 

62. Geis JR, Brady AP, Wu CC, et al. Ethics of artificial intelligence in radiology: summary of the Joint European and North American Multisociety Statement. J Am Coll Radiol. 2019;16(11):1516-1521. doi:10.1016/j.jacr.2019.07.028

63. Kingston J. Artificial intelligence and legal liability. arXiv:1802.07782. https://arxiv.org/ftp/arxiv/papers/1802/1802.07782.pdf

64. Council of the European Union, General Data Protection Regulation. Official Journal of the European Union. Accessed February 16, 2022. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32016R0679

65. Consumer Privacy Protection Act of 2017, HR 4081, 115th Cong (2017). Accessed February 10, 2022. https://www.congress.gov/bill/115th-congress/house-bill/4081

66. Cal. Civ. Code § 1798.198(a) (2018). California Consumer Privacy Act of 2018.

67. Va. Code Ann. § 59.1 (2021). Consumer Data Protection Act. Accessed February 10, 2022. https://lis.virginia.gov/cgi-bin/legp604.exe?212+ful+SB1392ER+pdf

68. Colo. Rev. Stat. § 6-1-1301 (2021). Colorado Privacy Act. Accessed February 10, 2022. https://leg.colorado.gov/sites/default/files/2021a_190_signed.pdf

69. 21st Century Cures Act, Pub L No. 114-255 (2016). Accessed February 10, 2022. https://www.govinfo.gov/content/pkg/PLAW-114publ255/html/PLAW-114publ255.htm

70. Huff DT, Weisman AJ, Jeraj R. Interpretation and visualization techniques for deep learning models in medical imaging. Phys Med Biol. 2021;66(4):04TR01. doi:10.1088/1361-6560/abcd17

71. Thrall JH, Li X, Li Q, et al. Artificial intelligence and machine learning in radiology: opportunities, challenges, pitfalls, and criteria for success. J Am Coll Radiol. 2018;15(3, pt B):504-508. doi:10.1016/j.jacr.2017.12.026

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Autonomic Dysfunction in the Setting of CADASIL Syndrome

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Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) syndrome is the most common monogenic inherited cause of stroke. CADASIL syndrome is a nonsclerotic angiopathy resulting from a mutation of the NOTCH3 gene on chromosome 19p13, encoding a receptor expressed by vascular smooth muscle cells.1 This mutation results in migraine, recurrent ischemic stroke, affective disorders, and dementia, with migraine often manifesting earliest.2,3

The onset of stroke symptoms occurs typically in ages ≥ 60 years with some patients experiencing stroke as early as in their 30s.1,4 Presentation varies among patients even within the same family.5 CADASIL syndrome is frequently mistaken for other more common neurologic conditions due to the low prevalence of CADASIL syndrome, reported to be between 2 and 5 per 100,000.3,6 The cumulative nature of multiple ischemic episodes seen in 85% of symptomatic individuals leads to disability. Dementia is often hallmarked as one of the features of end-stage CADASIL syndrome.7 Extent and severity of brain tissue damage are shown to be the most critical factors of clinical symptoms.8 There is no specific treatment for CADASIL syndrome other than addressing risk factors.9

Symptoms are traditionally described to be limited to the central nervous system (CNS); however, reports of other organ system effects exist. Twenty-six percent of premature mortality relating to CADASIL syndrome is sudden unexpected death, which several authors have postulated could be attributed to cardiac events.10,11

The NOTCH3 gene encodes a protein expressed during gastrulation and in the CNS during embryological development. The expression of this protein decreases with time and has limited expression in adulthood.12 The pathophysiology of CADASIL syndrome includes myriad changes, including cerebral vessels narrowed by intimal thickening due to expansion of the extracellular matrix, degeneration of smooth muscle cells of the cerebral vessel walls, and osmiophilic material deposition in patients with CADASIL syndrome.13 Granular osmiophilic material in the vascular basal lamina can be observed on electron microscopy of patients with CADASIL syndrome and are used for diagnostic purposes.14

CADASIL syndrome often presents a diagnostic dilemma for physicians and is easy to misdiagnose in the early stages. The diagnostic dilemma arises given the subacute onset of CADASIL syndrome with vague early presenting symptoms, such as headache, prior to more specific findings (ie, multiple early strokes or transient ischemic attacks [TIA]). Patients presenting with CADASIL syndrome may be misdiagnosed with other neurologic conditions, including migraine or multiple sclerosis (MS).15 Especially in the case of MS, lesions visible on magnetic resonance imaging (MRI) may be differentiated by the higher rates of temporo polar lesions seen in CADASIL syndrome in comparison with those in MS.3

It is important to consider CADASIL syndrome in patients presenting at a young age with stroke due to the compounding effects of multiple ischemic episodes and subsequent motor/sensory and neuropsychologic deficits. This necessitates increasing awareness of CADASIL syndrome in the neurologic and radiologic community and the importance of educating families of patients on the importance of being evaluated. This diagnostic dilemma can lead to delay in appropriate therapy and control of related modifiable risk factors, including hypertension, hyperlipidemia, etc. Delays in initiation of anti-stroke pharmacotherapy can lead to additional morbidity and mortality in these patients.

The radiology of CADASIL syndrome is unique and particularly important due to the possible confusion with MS. MRI is an important tool in the evaluation of the cerebral pathology of CADASIL syndrome, revealing white matter and microangiopathic signal abnormalities, indicative of ischemic infarcts, lacunar strokes, and diffuse leukoencephalopathy.13,16 MRI lesions are often seen in the basal ganglia, thalamus, external capsule, and pons.7 The lesions also are seen in the periventricular region, explaining its misperception as MS.17 In addition, cerebral microhemorrhages have been seen. To further differentiate these lesions, the anterior temporal lobe should be observed for gliosis or hyperintensities, which correlates with CADASIL syndrome.18 Location of hyperintensity in the temporal lobes, relative sparing of the occipital/orbitofrontal white matter, corpus callosum, subcortical u-fibers, and cortex is helpful in differentiating from other etiologies, such as microvascular white matter ischemic disease, MS, and mitochondrial encephalopathy with lactic acidosis and strokelike symptoms (MELAS).

Case Presentation

A patient aged > 50 years presented to the emergency department (ED) due to numbness of the right perioral area, gait difficulties, difficulty speaking, and increasing right lower extremity weakness with no numbness or paresthesia. The patient’s medical history is relevant for CADASIL syndrome, hypertension, prior cerebrovascular accident, recurrent TIAs, multinodular goiter with a history of radioactive iodine treatment, and neurogenic bladder controlled with oxybutynin since age 30 years. The patient had a significant stroke history: the first stroke occurred at age 36 years and 3 more strokes at ages 38, 44, and 53 years and 4 TIAs over that period. This patient reported no recent headache or memory changes and had no history of smoking, alcohol, or recreational drug use. Family history was pertinent for the mother’s death secondary to stroke, with a history of multiple strokes beginning at a young, undetermined age and no major motor, sensory, or neuropsychologic deficits prior to her death. A sister and first cousin had been diagnosed with MS.

On triage in the ED, stroke alert was called but tissue plasminogen activator was not given due to time eligibility. The patient’s numbness and weakness were improved within 7 hours, but she continued to have difficulty with dysarthric speech and unsteady gait following this incident. Antihypertensive medications were discontinued on admission to allow for permissive hypertension to improve cerebral blood flow. A brain MRI revealed bilateral increased T2 fluid-attenuated inversion recovery (FLAIR) signal in the anterior temporal lobes, confluent increased T2 FLAIR signal in the periventricular/deep white matter, bilateral basal ganglia chronic lacunar infarcts, and several chronic microbleeds (Figure 1). There was no evidence for an acute infarct on the MRI. Recrudescence of prior stroke symptoms secondary to CADASIL syndrome was suspected as a primary diagnosis with a differential of TIA.

Axial T2 Fluid-Attenuated Inversion Recovery Magnetic Resonance Images


Starting the second day of admission, the patient had intermittent sinus bradycardia with the lowest heart rate (HR) in the range of 40 beats per minute (bpm) while awake with an unchanged neurologic examination. Each episode was transient, lasting less than an hour per staff documentation. The electrocardiogram (ECG) on admission demonstrated normal sinus rhythm in the range of 70 to 80 bpm.

 

 



The patient was asymptomatic and normotensive during the episodes of bradycardia. The patient had not yet resumed any antihypertensives. An echocardiogram was unremarkable with a left ventricular ejection fraction of 55 to 60%, normal anatomy, and no significant pericardial effusion. Carotid artery duplex examination demonstrated patent vessels with anterograde vertebral flow bilaterally. Due to the unknown cause of the bradycardia, the patient was discharged with a 14-day ambulatory cardiac monitor, advised to continue statin, aspirin, and lisinopril, and given a referral to continue with outpatient physical therapy and occupational therapy.

The patient’s ambulatory cardiac monitoring showed dominant sinus rhythm, with the HR in the range of 40 to 170 bpm with an overall average 70 to 80 bpm. The patient’s HR spent 5% of the recording time under 50 bpm and 14% of the time > 100. There was no evidence of heart block. No symptoms were recorded per the patient’s symptom diary during the entire 2 weeks of monitoring. Further follow-up showed that the patient presented to a primary care practitioner 1 month later with similar symptoms and was sent to the ED of an outside hospital without admission. The ECG was again unremarkable, demonstrating only sinus bradycardia with normal T waves, QT interval, without ST elevations or depressions. About 3 weeks later, the patient presented to the ED again with chest pain and was discharged with a diagnosis of atypical chest pain possibly related to anxiety without findings consistent with acute coronary syndrome (ACS).

Discussion

This patient with CADASIL syndrome and significant stroke history with cardiac symptoms demonstrates 3 important discussion points: the difficulty of early diagnosis, high rates of morbidity/mortality, and the need for further research into the cardiac effects of CADASIL syndrome. Due to this patient’s bradycardic episodes while being monitored on telemetry, it is possible that the cause of the strokelike symptoms was a TIA, secondary to decreased perfusion pressure, explaining the lack of acute ischemia on imaging. With regards to the history of thyroid dysfunction, this particular episode of bradycardia was unlikely to be related as the thyroid-stimulating hormone was reflective of subclinical hyperthyroidism with T4 levels within normal limits.

This case demonstrates a potential link between CADASIL syndrome and autonomic dysfunction. Similar to general stroke patients, patients with CADASIL syndrome are at an increased risk of hypoperfusion injury secondary to cardiovascular and autonomic dysfunction. This raises a question of initial and surveillance screening tests on diagnosis of CADASIL syndrome. It may be appropriate to obtain routine echocardiogram and ECG and other arrhythmia screening tests in these patients, especially during or following an ischemic episode. However, more evidence is required to support creation of a formal recommendation.

In a study of cardiac rhythm abnormalities in a half-million adults, 1.57% of women aged 55 to 64 years were found to have rhythm abnormality with 0.27% having a bradyarrhythmia.19 In the setting of neurologic disease, ECG changes such as arrhythmias and repolarization changes are regularly noted.20 However, it is unlikely that the bradycardia would be causing the brain lesions. In CADASIL syndrome, there is relative sparing of the occipital, orbitofrontal subcortical white matter, subcortical fibers, and cortex. Specifically, within CADASIL syndrome, a study of 23 patients showed no ECG changes regarding infarction/ischemia, conduction disturbances, or arrhythmias compared with that of controls.21

Further research into the cardiac effects of CADASIL syndrome is needed. As CADASIL syndrome is primarily a disorder of the vasculature, the disease has potential to affect the heart in addition to the brain.1 This theory is well supported by the embryologic effects of the NOTCH3 receptor pathways, which are responsible for the development of the cardiovascular system.22 Anecdotal evidence supports this theory as few case reports have been published that describe various cardiac abnormalities in patients with CADASIL syndrome, including myocardial infarction (MI), conduction abnormalities, and arrhythmias.2, 23-25

There have only been 2 published studies regarding investigations into CADASIL syndrome and cardiac disease. The first paper was a case-control study that investigated ECG changes in the setting of CADASIL syndrome. The study found no evidence for MI, ischemia, conduction disorder, or arrhythmias in patients with CADASIL syndrome.21 Unfortunately, this study was underpowered and limited in scope, only investigating a single ECG recording from 23 patients with CADASIL syndrome in a single clinic.21 Other cardiac markers, such as echocardiogram, stress test, and contractility, and longitudinal cardiac outcomes were not investigated in this study.21 The second paper was also a case-control study by Rufa and colleagues that investigated HR variability and other ECG changes during a 10-minute rest recording on 23 patients with CADASIL syndrome and compared the results to 22 age- and gender-matched patients in good health.11

This study found reduced HR variability and an increased ratio of low-frequency to high-frequency variability, which the authors claimed demonstrates autonomic dysfunction in patients with CADASIL syndrome.11 Rufa and colleagues concluded that patients with CADASIL syndrome are at higher risk for cardiac arrhythmias.11 This study also found no evidence for MI, ischemia, conduction disorder, or arrhythmias in the patients with CADASIL syndrome compared with that of age-matched controls.11 Similar to the first paper, this study is underpowered, only looks at a single timepoint recording, and uses incomplete and indirect measurements of cardiac function.

There is a need for a longitudinal review of cardiac outcomes in the CADASIL syndrome population to determine whether these patients require additional surveillance or prophylaxis. While the variability in HR of our patient cannot be definitively attributed solely to CADASIL syndrome, the subsequent admissions demonstrate that long-term monitoring may be warranted.

Conclusions

CADASIL syndrome is an autosomal dominant NOTCH3 signaling disease that affects the small vessel vasculature and leads to early ischemic events, headache, dementia, and death. CADASIL syndrome is frequently misdiagnosed due to insidious onset and vague presenting symptoms. Delay in diagnosis often results in nonoptimized medical management. Current guidelines recommend following poststroke protocol and minimizing individual risk factors by using antiplatelet, antihypertensive, and dyslipidemia medications. This case demonstrates a classic presentation of CADASIL syndrome with lesser described cardiac symptoms. Few cases of unusual cardiac symptoms in the setting of CADASIL syndrome have been reported. The relationship between cardiovascular disease and CADASIL syndrome is not well described. Further research is needed to elucidate any links between CADASIL syndrome and cardiovascular disease and to optimize management for these patients.

References

1. Moreton FC, Razvi SS, Davidson R, Muir KW. Changing clinical patterns and increasing prevalence in CADASIL. Acta Neurol Scand. 2014;130(3):197-203. doi:10.1111/ane.12266

2. Lesnik Oberstein SA, Jukema JW, Van Duinen SG, Macfarlane PW, van Houwelingen HC, Breuning MH, et al. Myocardial infarction in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). Medicine (Baltimore). 2003;82(4):251-256. doi:10.1097/01.md.0000085054.63483.40

3. Di Donato I, Bianchi S, De Stefano N, Dichgans M, Dotti MT, Duering M, et al. Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) as a model of small vessel disease: update on clinical, diagnostic, and management aspects. BMC Med. 2017;15(1):41. doi:10.1186/s12916-017-0778-8

4. Dunphy L, Rani A, Duodu Y, Behnam Y. Cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy (CADASIL) presenting with stroke in a young man. BMJ Case Rep. 2019 ;12(7):e229609. doi:10.1136/bcr-2019-229609

5. Bianchi S, Zicari E, Carluccio A, Di Donato I, Pescini F, Nannucci S, et al. CADASIL in central Italy: a retrospective clinical and genetic study in 229 patients. J Neurol. 2015;262(1):134-141. doi:10.1007/s00415-014-7533-2

6. Phillips CD, Zuckerman SJ, Medical Education Commission. CADASIL can mimic multiple sclerosis. J La State Med Soc. 2010 May-Jun;162(3):174.

7. Hervé D, Chabriat H. CADASIL. J Geriatr Psychiatry Neurol. 2010;23(4):269-276. doi:10.1177/0891988710383570

8. Yamamoto Y, Hase Y, Ihara M, Khundakar A, Roeber S, Duering M, et al. Neuronal densities and vascular pathology in the hippocampal formation in CADASIL. Neurobiol Aging. 2021;97:33-40. doi:10.1016/j.neurobiolaging.2020.09.016

9. Ferrante EA, Cudrici CD, Boehm M. CADASIL: new advances in basic science and clinical perspectives. Curr Opin Hematol. 2019;26(3):193-198. doi:10.1097/MOH.0000000000000497

10. Opherk C, Peters N, Herzog J, Luedtke R, Dichgans M. Long-term prognosis and causes of death in CADASIL: a retrospective study in 411 patients. Brain. 2004;127(pt 11):2533-2539.

11. Rufa A, Guideri F, Acampa M, Cevenini G, Bianchi S, De Stefano N, et al. Cardiac autonomic nervous system and risk of arrhythmias in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). Stroke. 2007 Feb;38(2):276-280. doi:10.1093/brain/awh282

12. Joutel A, Corpechot C, Ducros A, Vahedi K, Chabriat H, Mouton P, et al. Notch3 mutations in CADASIL, a hereditary adult-onset condition causing stroke and dementia. Nature. 1996;383(6602):707-710. doi:10.1038/383707a0

13. Kalaria RN, Viitanen M, Kalimo H, Dichgans M, Tabira T, CASASIL Group of Vas-Cog. The pathogenesis of CADASIL: an update. J Neurol Sci. 2004;226(1-2):35-39. doi:10.1016/j.jns.2004.09.008

14. Reddy SPK, Vishnu VY, Goyal V, Singh MB, Arora S, Garg A, et al. CADASIL syndrome and stroke in young people. QJM. 2020 Feb 1;113(2):118-119. doi:10.1093/qjmed/hcz243

15. Carone DA. CADASIL and multiple sclerosis: A case report of prolonged misdiagnosis. Applied neuropsychology Adult. 2017;24(3):294-297. doi:10.1080/23279095.2016.1214132

16. Zhu S, Nahas SJ. CADASIL: Imaging characteristics and clinical correlation. Curr Pain Headache Rep. 2016;20(10):57. doi:10.1007/s11916-016-0584-6

17. Kalaria RN, Low WC, Oakley AE, Slade JY, Ince PG, Morris CM, et al. CADASIL and genetics of cerebral ischaemia. J Neural Transm Suppl. 2002;(63):75-90. doi:10.1007/978-3-7091-6137-1_5

18. O’Sullivan M, Jarosz JM, Martin RJ, Deasy N, Powell JF, Markus HS. MRI hyperintensities of the temporal lobe and external capsule in patients with CADASIL. Neurology. 2001;56(5):628-634. doi:10.1212/wnl.56.5.628

19. Khurshid S, Choi SH, Weng L-C, Wang EY, Trinquart L, Benjamin EJ, et al. Frequency of cardiac rhythm abnormalities in a half million adults. Circ ArrhythmElectrophysiol. 2018;11(7):e006273. doi:10.1161/CIRCEP.118.006273

20. Samuels MA. The brain–heart connection. Circulation. 2007;116(1):77-84. doi:10.1161/CIRCULATIONAHA. 106.678995

21. Cumurciuc R, Henry P, Gobron C, Vicaut E, Bousser MG, Chabriat H, et al. Electrocardiogram in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy patients without any clinical evidence of coronary artery disease: a case-control study. Stroke. 2006;37(4):1100-1102. doi:10.1161/01.STR.0000209242.68844.20

22. Luxán G, D’Amato G, MacGrogan D, de la Pompa JL. Endocardial notch signaling in cardiac development and disease. Circ Res. 2016;118(1):e1-e18. doi:10.1161/CIRCRESAHA.115.305350

23. Rubin CB, Hahn V, Kobayashi T, Litwack A. A report of accelerated coronary artery disease associated with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy. Case Rep Cardiol. 2015;2015:167513. doi:10.1155/2015/167513

24. Langer C, Adukauskaite A, Plank F, Feuchtner G, Cartes-Zumelzu F. Cerebral autosomal dominant arteriopathy (CADASIL) with cardiac involvement (ANOCA) and subcortical leukencephalopathy. J Cardiovasc Comput Tomogr. 2020;14(5):e1-e6. doi:10.1016/j.jcct.2018.08.005

25. Pettersen JA, Keith J, Gao F, Spence JD, Black SE. CADASIL accelerated by acute hypotension: Arterial and venous contribution to leukoaraiosis. Neurology. 2017;88(11):1077-1080. doi:10.1212/WNL.0000000000003717

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Ricci Allen, MSca; Nathan Kostick MSa; Alan Tseng, MD, PhDb,c; Igor Sirotkin, MDb; and Esther Baldinger MDb
Correspondence: Ricci Allen ([email protected])

aUniversity of Central Florida, College of Medicine, Orlando
bBay Pines Veterans Affairs Department of Neurology, Bay Pines, Florida
cNova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Clearwater, Florida

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

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The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Ricci Allen, MSca; Nathan Kostick MSa; Alan Tseng, MD, PhDb,c; Igor Sirotkin, MDb; and Esther Baldinger MDb
Correspondence: Ricci Allen ([email protected])

aUniversity of Central Florida, College of Medicine, Orlando
bBay Pines Veterans Affairs Department of Neurology, Bay Pines, Florida
cNova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Clearwater, Florida

Author disclosures

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

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent

Written informed consent has been obtained from the patient; no identifying patient information was discussed in this case report.

Author and Disclosure Information

Ricci Allen, MSca; Nathan Kostick MSa; Alan Tseng, MD, PhDb,c; Igor Sirotkin, MDb; and Esther Baldinger MDb
Correspondence: Ricci Allen ([email protected])

aUniversity of Central Florida, College of Medicine, Orlando
bBay Pines Veterans Affairs Department of Neurology, Bay Pines, Florida
cNova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Clearwater, Florida

Author disclosures

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

Disclaimer

The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent

Written informed consent has been obtained from the patient; no identifying patient information was discussed in this case report.

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Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) syndrome is the most common monogenic inherited cause of stroke. CADASIL syndrome is a nonsclerotic angiopathy resulting from a mutation of the NOTCH3 gene on chromosome 19p13, encoding a receptor expressed by vascular smooth muscle cells.1 This mutation results in migraine, recurrent ischemic stroke, affective disorders, and dementia, with migraine often manifesting earliest.2,3

The onset of stroke symptoms occurs typically in ages ≥ 60 years with some patients experiencing stroke as early as in their 30s.1,4 Presentation varies among patients even within the same family.5 CADASIL syndrome is frequently mistaken for other more common neurologic conditions due to the low prevalence of CADASIL syndrome, reported to be between 2 and 5 per 100,000.3,6 The cumulative nature of multiple ischemic episodes seen in 85% of symptomatic individuals leads to disability. Dementia is often hallmarked as one of the features of end-stage CADASIL syndrome.7 Extent and severity of brain tissue damage are shown to be the most critical factors of clinical symptoms.8 There is no specific treatment for CADASIL syndrome other than addressing risk factors.9

Symptoms are traditionally described to be limited to the central nervous system (CNS); however, reports of other organ system effects exist. Twenty-six percent of premature mortality relating to CADASIL syndrome is sudden unexpected death, which several authors have postulated could be attributed to cardiac events.10,11

The NOTCH3 gene encodes a protein expressed during gastrulation and in the CNS during embryological development. The expression of this protein decreases with time and has limited expression in adulthood.12 The pathophysiology of CADASIL syndrome includes myriad changes, including cerebral vessels narrowed by intimal thickening due to expansion of the extracellular matrix, degeneration of smooth muscle cells of the cerebral vessel walls, and osmiophilic material deposition in patients with CADASIL syndrome.13 Granular osmiophilic material in the vascular basal lamina can be observed on electron microscopy of patients with CADASIL syndrome and are used for diagnostic purposes.14

CADASIL syndrome often presents a diagnostic dilemma for physicians and is easy to misdiagnose in the early stages. The diagnostic dilemma arises given the subacute onset of CADASIL syndrome with vague early presenting symptoms, such as headache, prior to more specific findings (ie, multiple early strokes or transient ischemic attacks [TIA]). Patients presenting with CADASIL syndrome may be misdiagnosed with other neurologic conditions, including migraine or multiple sclerosis (MS).15 Especially in the case of MS, lesions visible on magnetic resonance imaging (MRI) may be differentiated by the higher rates of temporo polar lesions seen in CADASIL syndrome in comparison with those in MS.3

It is important to consider CADASIL syndrome in patients presenting at a young age with stroke due to the compounding effects of multiple ischemic episodes and subsequent motor/sensory and neuropsychologic deficits. This necessitates increasing awareness of CADASIL syndrome in the neurologic and radiologic community and the importance of educating families of patients on the importance of being evaluated. This diagnostic dilemma can lead to delay in appropriate therapy and control of related modifiable risk factors, including hypertension, hyperlipidemia, etc. Delays in initiation of anti-stroke pharmacotherapy can lead to additional morbidity and mortality in these patients.

The radiology of CADASIL syndrome is unique and particularly important due to the possible confusion with MS. MRI is an important tool in the evaluation of the cerebral pathology of CADASIL syndrome, revealing white matter and microangiopathic signal abnormalities, indicative of ischemic infarcts, lacunar strokes, and diffuse leukoencephalopathy.13,16 MRI lesions are often seen in the basal ganglia, thalamus, external capsule, and pons.7 The lesions also are seen in the periventricular region, explaining its misperception as MS.17 In addition, cerebral microhemorrhages have been seen. To further differentiate these lesions, the anterior temporal lobe should be observed for gliosis or hyperintensities, which correlates with CADASIL syndrome.18 Location of hyperintensity in the temporal lobes, relative sparing of the occipital/orbitofrontal white matter, corpus callosum, subcortical u-fibers, and cortex is helpful in differentiating from other etiologies, such as microvascular white matter ischemic disease, MS, and mitochondrial encephalopathy with lactic acidosis and strokelike symptoms (MELAS).

Case Presentation

A patient aged > 50 years presented to the emergency department (ED) due to numbness of the right perioral area, gait difficulties, difficulty speaking, and increasing right lower extremity weakness with no numbness or paresthesia. The patient’s medical history is relevant for CADASIL syndrome, hypertension, prior cerebrovascular accident, recurrent TIAs, multinodular goiter with a history of radioactive iodine treatment, and neurogenic bladder controlled with oxybutynin since age 30 years. The patient had a significant stroke history: the first stroke occurred at age 36 years and 3 more strokes at ages 38, 44, and 53 years and 4 TIAs over that period. This patient reported no recent headache or memory changes and had no history of smoking, alcohol, or recreational drug use. Family history was pertinent for the mother’s death secondary to stroke, with a history of multiple strokes beginning at a young, undetermined age and no major motor, sensory, or neuropsychologic deficits prior to her death. A sister and first cousin had been diagnosed with MS.

On triage in the ED, stroke alert was called but tissue plasminogen activator was not given due to time eligibility. The patient’s numbness and weakness were improved within 7 hours, but she continued to have difficulty with dysarthric speech and unsteady gait following this incident. Antihypertensive medications were discontinued on admission to allow for permissive hypertension to improve cerebral blood flow. A brain MRI revealed bilateral increased T2 fluid-attenuated inversion recovery (FLAIR) signal in the anterior temporal lobes, confluent increased T2 FLAIR signal in the periventricular/deep white matter, bilateral basal ganglia chronic lacunar infarcts, and several chronic microbleeds (Figure 1). There was no evidence for an acute infarct on the MRI. Recrudescence of prior stroke symptoms secondary to CADASIL syndrome was suspected as a primary diagnosis with a differential of TIA.

Axial T2 Fluid-Attenuated Inversion Recovery Magnetic Resonance Images


Starting the second day of admission, the patient had intermittent sinus bradycardia with the lowest heart rate (HR) in the range of 40 beats per minute (bpm) while awake with an unchanged neurologic examination. Each episode was transient, lasting less than an hour per staff documentation. The electrocardiogram (ECG) on admission demonstrated normal sinus rhythm in the range of 70 to 80 bpm.

 

 



The patient was asymptomatic and normotensive during the episodes of bradycardia. The patient had not yet resumed any antihypertensives. An echocardiogram was unremarkable with a left ventricular ejection fraction of 55 to 60%, normal anatomy, and no significant pericardial effusion. Carotid artery duplex examination demonstrated patent vessels with anterograde vertebral flow bilaterally. Due to the unknown cause of the bradycardia, the patient was discharged with a 14-day ambulatory cardiac monitor, advised to continue statin, aspirin, and lisinopril, and given a referral to continue with outpatient physical therapy and occupational therapy.

The patient’s ambulatory cardiac monitoring showed dominant sinus rhythm, with the HR in the range of 40 to 170 bpm with an overall average 70 to 80 bpm. The patient’s HR spent 5% of the recording time under 50 bpm and 14% of the time > 100. There was no evidence of heart block. No symptoms were recorded per the patient’s symptom diary during the entire 2 weeks of monitoring. Further follow-up showed that the patient presented to a primary care practitioner 1 month later with similar symptoms and was sent to the ED of an outside hospital without admission. The ECG was again unremarkable, demonstrating only sinus bradycardia with normal T waves, QT interval, without ST elevations or depressions. About 3 weeks later, the patient presented to the ED again with chest pain and was discharged with a diagnosis of atypical chest pain possibly related to anxiety without findings consistent with acute coronary syndrome (ACS).

Discussion

This patient with CADASIL syndrome and significant stroke history with cardiac symptoms demonstrates 3 important discussion points: the difficulty of early diagnosis, high rates of morbidity/mortality, and the need for further research into the cardiac effects of CADASIL syndrome. Due to this patient’s bradycardic episodes while being monitored on telemetry, it is possible that the cause of the strokelike symptoms was a TIA, secondary to decreased perfusion pressure, explaining the lack of acute ischemia on imaging. With regards to the history of thyroid dysfunction, this particular episode of bradycardia was unlikely to be related as the thyroid-stimulating hormone was reflective of subclinical hyperthyroidism with T4 levels within normal limits.

This case demonstrates a potential link between CADASIL syndrome and autonomic dysfunction. Similar to general stroke patients, patients with CADASIL syndrome are at an increased risk of hypoperfusion injury secondary to cardiovascular and autonomic dysfunction. This raises a question of initial and surveillance screening tests on diagnosis of CADASIL syndrome. It may be appropriate to obtain routine echocardiogram and ECG and other arrhythmia screening tests in these patients, especially during or following an ischemic episode. However, more evidence is required to support creation of a formal recommendation.

In a study of cardiac rhythm abnormalities in a half-million adults, 1.57% of women aged 55 to 64 years were found to have rhythm abnormality with 0.27% having a bradyarrhythmia.19 In the setting of neurologic disease, ECG changes such as arrhythmias and repolarization changes are regularly noted.20 However, it is unlikely that the bradycardia would be causing the brain lesions. In CADASIL syndrome, there is relative sparing of the occipital, orbitofrontal subcortical white matter, subcortical fibers, and cortex. Specifically, within CADASIL syndrome, a study of 23 patients showed no ECG changes regarding infarction/ischemia, conduction disturbances, or arrhythmias compared with that of controls.21

Further research into the cardiac effects of CADASIL syndrome is needed. As CADASIL syndrome is primarily a disorder of the vasculature, the disease has potential to affect the heart in addition to the brain.1 This theory is well supported by the embryologic effects of the NOTCH3 receptor pathways, which are responsible for the development of the cardiovascular system.22 Anecdotal evidence supports this theory as few case reports have been published that describe various cardiac abnormalities in patients with CADASIL syndrome, including myocardial infarction (MI), conduction abnormalities, and arrhythmias.2, 23-25

There have only been 2 published studies regarding investigations into CADASIL syndrome and cardiac disease. The first paper was a case-control study that investigated ECG changes in the setting of CADASIL syndrome. The study found no evidence for MI, ischemia, conduction disorder, or arrhythmias in patients with CADASIL syndrome.21 Unfortunately, this study was underpowered and limited in scope, only investigating a single ECG recording from 23 patients with CADASIL syndrome in a single clinic.21 Other cardiac markers, such as echocardiogram, stress test, and contractility, and longitudinal cardiac outcomes were not investigated in this study.21 The second paper was also a case-control study by Rufa and colleagues that investigated HR variability and other ECG changes during a 10-minute rest recording on 23 patients with CADASIL syndrome and compared the results to 22 age- and gender-matched patients in good health.11

This study found reduced HR variability and an increased ratio of low-frequency to high-frequency variability, which the authors claimed demonstrates autonomic dysfunction in patients with CADASIL syndrome.11 Rufa and colleagues concluded that patients with CADASIL syndrome are at higher risk for cardiac arrhythmias.11 This study also found no evidence for MI, ischemia, conduction disorder, or arrhythmias in the patients with CADASIL syndrome compared with that of age-matched controls.11 Similar to the first paper, this study is underpowered, only looks at a single timepoint recording, and uses incomplete and indirect measurements of cardiac function.

There is a need for a longitudinal review of cardiac outcomes in the CADASIL syndrome population to determine whether these patients require additional surveillance or prophylaxis. While the variability in HR of our patient cannot be definitively attributed solely to CADASIL syndrome, the subsequent admissions demonstrate that long-term monitoring may be warranted.

Conclusions

CADASIL syndrome is an autosomal dominant NOTCH3 signaling disease that affects the small vessel vasculature and leads to early ischemic events, headache, dementia, and death. CADASIL syndrome is frequently misdiagnosed due to insidious onset and vague presenting symptoms. Delay in diagnosis often results in nonoptimized medical management. Current guidelines recommend following poststroke protocol and minimizing individual risk factors by using antiplatelet, antihypertensive, and dyslipidemia medications. This case demonstrates a classic presentation of CADASIL syndrome with lesser described cardiac symptoms. Few cases of unusual cardiac symptoms in the setting of CADASIL syndrome have been reported. The relationship between cardiovascular disease and CADASIL syndrome is not well described. Further research is needed to elucidate any links between CADASIL syndrome and cardiovascular disease and to optimize management for these patients.

Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) syndrome is the most common monogenic inherited cause of stroke. CADASIL syndrome is a nonsclerotic angiopathy resulting from a mutation of the NOTCH3 gene on chromosome 19p13, encoding a receptor expressed by vascular smooth muscle cells.1 This mutation results in migraine, recurrent ischemic stroke, affective disorders, and dementia, with migraine often manifesting earliest.2,3

The onset of stroke symptoms occurs typically in ages ≥ 60 years with some patients experiencing stroke as early as in their 30s.1,4 Presentation varies among patients even within the same family.5 CADASIL syndrome is frequently mistaken for other more common neurologic conditions due to the low prevalence of CADASIL syndrome, reported to be between 2 and 5 per 100,000.3,6 The cumulative nature of multiple ischemic episodes seen in 85% of symptomatic individuals leads to disability. Dementia is often hallmarked as one of the features of end-stage CADASIL syndrome.7 Extent and severity of brain tissue damage are shown to be the most critical factors of clinical symptoms.8 There is no specific treatment for CADASIL syndrome other than addressing risk factors.9

Symptoms are traditionally described to be limited to the central nervous system (CNS); however, reports of other organ system effects exist. Twenty-six percent of premature mortality relating to CADASIL syndrome is sudden unexpected death, which several authors have postulated could be attributed to cardiac events.10,11

The NOTCH3 gene encodes a protein expressed during gastrulation and in the CNS during embryological development. The expression of this protein decreases with time and has limited expression in adulthood.12 The pathophysiology of CADASIL syndrome includes myriad changes, including cerebral vessels narrowed by intimal thickening due to expansion of the extracellular matrix, degeneration of smooth muscle cells of the cerebral vessel walls, and osmiophilic material deposition in patients with CADASIL syndrome.13 Granular osmiophilic material in the vascular basal lamina can be observed on electron microscopy of patients with CADASIL syndrome and are used for diagnostic purposes.14

CADASIL syndrome often presents a diagnostic dilemma for physicians and is easy to misdiagnose in the early stages. The diagnostic dilemma arises given the subacute onset of CADASIL syndrome with vague early presenting symptoms, such as headache, prior to more specific findings (ie, multiple early strokes or transient ischemic attacks [TIA]). Patients presenting with CADASIL syndrome may be misdiagnosed with other neurologic conditions, including migraine or multiple sclerosis (MS).15 Especially in the case of MS, lesions visible on magnetic resonance imaging (MRI) may be differentiated by the higher rates of temporo polar lesions seen in CADASIL syndrome in comparison with those in MS.3

It is important to consider CADASIL syndrome in patients presenting at a young age with stroke due to the compounding effects of multiple ischemic episodes and subsequent motor/sensory and neuropsychologic deficits. This necessitates increasing awareness of CADASIL syndrome in the neurologic and radiologic community and the importance of educating families of patients on the importance of being evaluated. This diagnostic dilemma can lead to delay in appropriate therapy and control of related modifiable risk factors, including hypertension, hyperlipidemia, etc. Delays in initiation of anti-stroke pharmacotherapy can lead to additional morbidity and mortality in these patients.

The radiology of CADASIL syndrome is unique and particularly important due to the possible confusion with MS. MRI is an important tool in the evaluation of the cerebral pathology of CADASIL syndrome, revealing white matter and microangiopathic signal abnormalities, indicative of ischemic infarcts, lacunar strokes, and diffuse leukoencephalopathy.13,16 MRI lesions are often seen in the basal ganglia, thalamus, external capsule, and pons.7 The lesions also are seen in the periventricular region, explaining its misperception as MS.17 In addition, cerebral microhemorrhages have been seen. To further differentiate these lesions, the anterior temporal lobe should be observed for gliosis or hyperintensities, which correlates with CADASIL syndrome.18 Location of hyperintensity in the temporal lobes, relative sparing of the occipital/orbitofrontal white matter, corpus callosum, subcortical u-fibers, and cortex is helpful in differentiating from other etiologies, such as microvascular white matter ischemic disease, MS, and mitochondrial encephalopathy with lactic acidosis and strokelike symptoms (MELAS).

Case Presentation

A patient aged > 50 years presented to the emergency department (ED) due to numbness of the right perioral area, gait difficulties, difficulty speaking, and increasing right lower extremity weakness with no numbness or paresthesia. The patient’s medical history is relevant for CADASIL syndrome, hypertension, prior cerebrovascular accident, recurrent TIAs, multinodular goiter with a history of radioactive iodine treatment, and neurogenic bladder controlled with oxybutynin since age 30 years. The patient had a significant stroke history: the first stroke occurred at age 36 years and 3 more strokes at ages 38, 44, and 53 years and 4 TIAs over that period. This patient reported no recent headache or memory changes and had no history of smoking, alcohol, or recreational drug use. Family history was pertinent for the mother’s death secondary to stroke, with a history of multiple strokes beginning at a young, undetermined age and no major motor, sensory, or neuropsychologic deficits prior to her death. A sister and first cousin had been diagnosed with MS.

On triage in the ED, stroke alert was called but tissue plasminogen activator was not given due to time eligibility. The patient’s numbness and weakness were improved within 7 hours, but she continued to have difficulty with dysarthric speech and unsteady gait following this incident. Antihypertensive medications were discontinued on admission to allow for permissive hypertension to improve cerebral blood flow. A brain MRI revealed bilateral increased T2 fluid-attenuated inversion recovery (FLAIR) signal in the anterior temporal lobes, confluent increased T2 FLAIR signal in the periventricular/deep white matter, bilateral basal ganglia chronic lacunar infarcts, and several chronic microbleeds (Figure 1). There was no evidence for an acute infarct on the MRI. Recrudescence of prior stroke symptoms secondary to CADASIL syndrome was suspected as a primary diagnosis with a differential of TIA.

Axial T2 Fluid-Attenuated Inversion Recovery Magnetic Resonance Images


Starting the second day of admission, the patient had intermittent sinus bradycardia with the lowest heart rate (HR) in the range of 40 beats per minute (bpm) while awake with an unchanged neurologic examination. Each episode was transient, lasting less than an hour per staff documentation. The electrocardiogram (ECG) on admission demonstrated normal sinus rhythm in the range of 70 to 80 bpm.

 

 



The patient was asymptomatic and normotensive during the episodes of bradycardia. The patient had not yet resumed any antihypertensives. An echocardiogram was unremarkable with a left ventricular ejection fraction of 55 to 60%, normal anatomy, and no significant pericardial effusion. Carotid artery duplex examination demonstrated patent vessels with anterograde vertebral flow bilaterally. Due to the unknown cause of the bradycardia, the patient was discharged with a 14-day ambulatory cardiac monitor, advised to continue statin, aspirin, and lisinopril, and given a referral to continue with outpatient physical therapy and occupational therapy.

The patient’s ambulatory cardiac monitoring showed dominant sinus rhythm, with the HR in the range of 40 to 170 bpm with an overall average 70 to 80 bpm. The patient’s HR spent 5% of the recording time under 50 bpm and 14% of the time > 100. There was no evidence of heart block. No symptoms were recorded per the patient’s symptom diary during the entire 2 weeks of monitoring. Further follow-up showed that the patient presented to a primary care practitioner 1 month later with similar symptoms and was sent to the ED of an outside hospital without admission. The ECG was again unremarkable, demonstrating only sinus bradycardia with normal T waves, QT interval, without ST elevations or depressions. About 3 weeks later, the patient presented to the ED again with chest pain and was discharged with a diagnosis of atypical chest pain possibly related to anxiety without findings consistent with acute coronary syndrome (ACS).

Discussion

This patient with CADASIL syndrome and significant stroke history with cardiac symptoms demonstrates 3 important discussion points: the difficulty of early diagnosis, high rates of morbidity/mortality, and the need for further research into the cardiac effects of CADASIL syndrome. Due to this patient’s bradycardic episodes while being monitored on telemetry, it is possible that the cause of the strokelike symptoms was a TIA, secondary to decreased perfusion pressure, explaining the lack of acute ischemia on imaging. With regards to the history of thyroid dysfunction, this particular episode of bradycardia was unlikely to be related as the thyroid-stimulating hormone was reflective of subclinical hyperthyroidism with T4 levels within normal limits.

This case demonstrates a potential link between CADASIL syndrome and autonomic dysfunction. Similar to general stroke patients, patients with CADASIL syndrome are at an increased risk of hypoperfusion injury secondary to cardiovascular and autonomic dysfunction. This raises a question of initial and surveillance screening tests on diagnosis of CADASIL syndrome. It may be appropriate to obtain routine echocardiogram and ECG and other arrhythmia screening tests in these patients, especially during or following an ischemic episode. However, more evidence is required to support creation of a formal recommendation.

In a study of cardiac rhythm abnormalities in a half-million adults, 1.57% of women aged 55 to 64 years were found to have rhythm abnormality with 0.27% having a bradyarrhythmia.19 In the setting of neurologic disease, ECG changes such as arrhythmias and repolarization changes are regularly noted.20 However, it is unlikely that the bradycardia would be causing the brain lesions. In CADASIL syndrome, there is relative sparing of the occipital, orbitofrontal subcortical white matter, subcortical fibers, and cortex. Specifically, within CADASIL syndrome, a study of 23 patients showed no ECG changes regarding infarction/ischemia, conduction disturbances, or arrhythmias compared with that of controls.21

Further research into the cardiac effects of CADASIL syndrome is needed. As CADASIL syndrome is primarily a disorder of the vasculature, the disease has potential to affect the heart in addition to the brain.1 This theory is well supported by the embryologic effects of the NOTCH3 receptor pathways, which are responsible for the development of the cardiovascular system.22 Anecdotal evidence supports this theory as few case reports have been published that describe various cardiac abnormalities in patients with CADASIL syndrome, including myocardial infarction (MI), conduction abnormalities, and arrhythmias.2, 23-25

There have only been 2 published studies regarding investigations into CADASIL syndrome and cardiac disease. The first paper was a case-control study that investigated ECG changes in the setting of CADASIL syndrome. The study found no evidence for MI, ischemia, conduction disorder, or arrhythmias in patients with CADASIL syndrome.21 Unfortunately, this study was underpowered and limited in scope, only investigating a single ECG recording from 23 patients with CADASIL syndrome in a single clinic.21 Other cardiac markers, such as echocardiogram, stress test, and contractility, and longitudinal cardiac outcomes were not investigated in this study.21 The second paper was also a case-control study by Rufa and colleagues that investigated HR variability and other ECG changes during a 10-minute rest recording on 23 patients with CADASIL syndrome and compared the results to 22 age- and gender-matched patients in good health.11

This study found reduced HR variability and an increased ratio of low-frequency to high-frequency variability, which the authors claimed demonstrates autonomic dysfunction in patients with CADASIL syndrome.11 Rufa and colleagues concluded that patients with CADASIL syndrome are at higher risk for cardiac arrhythmias.11 This study also found no evidence for MI, ischemia, conduction disorder, or arrhythmias in the patients with CADASIL syndrome compared with that of age-matched controls.11 Similar to the first paper, this study is underpowered, only looks at a single timepoint recording, and uses incomplete and indirect measurements of cardiac function.

There is a need for a longitudinal review of cardiac outcomes in the CADASIL syndrome population to determine whether these patients require additional surveillance or prophylaxis. While the variability in HR of our patient cannot be definitively attributed solely to CADASIL syndrome, the subsequent admissions demonstrate that long-term monitoring may be warranted.

Conclusions

CADASIL syndrome is an autosomal dominant NOTCH3 signaling disease that affects the small vessel vasculature and leads to early ischemic events, headache, dementia, and death. CADASIL syndrome is frequently misdiagnosed due to insidious onset and vague presenting symptoms. Delay in diagnosis often results in nonoptimized medical management. Current guidelines recommend following poststroke protocol and minimizing individual risk factors by using antiplatelet, antihypertensive, and dyslipidemia medications. This case demonstrates a classic presentation of CADASIL syndrome with lesser described cardiac symptoms. Few cases of unusual cardiac symptoms in the setting of CADASIL syndrome have been reported. The relationship between cardiovascular disease and CADASIL syndrome is not well described. Further research is needed to elucidate any links between CADASIL syndrome and cardiovascular disease and to optimize management for these patients.

References

1. Moreton FC, Razvi SS, Davidson R, Muir KW. Changing clinical patterns and increasing prevalence in CADASIL. Acta Neurol Scand. 2014;130(3):197-203. doi:10.1111/ane.12266

2. Lesnik Oberstein SA, Jukema JW, Van Duinen SG, Macfarlane PW, van Houwelingen HC, Breuning MH, et al. Myocardial infarction in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). Medicine (Baltimore). 2003;82(4):251-256. doi:10.1097/01.md.0000085054.63483.40

3. Di Donato I, Bianchi S, De Stefano N, Dichgans M, Dotti MT, Duering M, et al. Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) as a model of small vessel disease: update on clinical, diagnostic, and management aspects. BMC Med. 2017;15(1):41. doi:10.1186/s12916-017-0778-8

4. Dunphy L, Rani A, Duodu Y, Behnam Y. Cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy (CADASIL) presenting with stroke in a young man. BMJ Case Rep. 2019 ;12(7):e229609. doi:10.1136/bcr-2019-229609

5. Bianchi S, Zicari E, Carluccio A, Di Donato I, Pescini F, Nannucci S, et al. CADASIL in central Italy: a retrospective clinical and genetic study in 229 patients. J Neurol. 2015;262(1):134-141. doi:10.1007/s00415-014-7533-2

6. Phillips CD, Zuckerman SJ, Medical Education Commission. CADASIL can mimic multiple sclerosis. J La State Med Soc. 2010 May-Jun;162(3):174.

7. Hervé D, Chabriat H. CADASIL. J Geriatr Psychiatry Neurol. 2010;23(4):269-276. doi:10.1177/0891988710383570

8. Yamamoto Y, Hase Y, Ihara M, Khundakar A, Roeber S, Duering M, et al. Neuronal densities and vascular pathology in the hippocampal formation in CADASIL. Neurobiol Aging. 2021;97:33-40. doi:10.1016/j.neurobiolaging.2020.09.016

9. Ferrante EA, Cudrici CD, Boehm M. CADASIL: new advances in basic science and clinical perspectives. Curr Opin Hematol. 2019;26(3):193-198. doi:10.1097/MOH.0000000000000497

10. Opherk C, Peters N, Herzog J, Luedtke R, Dichgans M. Long-term prognosis and causes of death in CADASIL: a retrospective study in 411 patients. Brain. 2004;127(pt 11):2533-2539.

11. Rufa A, Guideri F, Acampa M, Cevenini G, Bianchi S, De Stefano N, et al. Cardiac autonomic nervous system and risk of arrhythmias in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). Stroke. 2007 Feb;38(2):276-280. doi:10.1093/brain/awh282

12. Joutel A, Corpechot C, Ducros A, Vahedi K, Chabriat H, Mouton P, et al. Notch3 mutations in CADASIL, a hereditary adult-onset condition causing stroke and dementia. Nature. 1996;383(6602):707-710. doi:10.1038/383707a0

13. Kalaria RN, Viitanen M, Kalimo H, Dichgans M, Tabira T, CASASIL Group of Vas-Cog. The pathogenesis of CADASIL: an update. J Neurol Sci. 2004;226(1-2):35-39. doi:10.1016/j.jns.2004.09.008

14. Reddy SPK, Vishnu VY, Goyal V, Singh MB, Arora S, Garg A, et al. CADASIL syndrome and stroke in young people. QJM. 2020 Feb 1;113(2):118-119. doi:10.1093/qjmed/hcz243

15. Carone DA. CADASIL and multiple sclerosis: A case report of prolonged misdiagnosis. Applied neuropsychology Adult. 2017;24(3):294-297. doi:10.1080/23279095.2016.1214132

16. Zhu S, Nahas SJ. CADASIL: Imaging characteristics and clinical correlation. Curr Pain Headache Rep. 2016;20(10):57. doi:10.1007/s11916-016-0584-6

17. Kalaria RN, Low WC, Oakley AE, Slade JY, Ince PG, Morris CM, et al. CADASIL and genetics of cerebral ischaemia. J Neural Transm Suppl. 2002;(63):75-90. doi:10.1007/978-3-7091-6137-1_5

18. O’Sullivan M, Jarosz JM, Martin RJ, Deasy N, Powell JF, Markus HS. MRI hyperintensities of the temporal lobe and external capsule in patients with CADASIL. Neurology. 2001;56(5):628-634. doi:10.1212/wnl.56.5.628

19. Khurshid S, Choi SH, Weng L-C, Wang EY, Trinquart L, Benjamin EJ, et al. Frequency of cardiac rhythm abnormalities in a half million adults. Circ ArrhythmElectrophysiol. 2018;11(7):e006273. doi:10.1161/CIRCEP.118.006273

20. Samuels MA. The brain–heart connection. Circulation. 2007;116(1):77-84. doi:10.1161/CIRCULATIONAHA. 106.678995

21. Cumurciuc R, Henry P, Gobron C, Vicaut E, Bousser MG, Chabriat H, et al. Electrocardiogram in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy patients without any clinical evidence of coronary artery disease: a case-control study. Stroke. 2006;37(4):1100-1102. doi:10.1161/01.STR.0000209242.68844.20

22. Luxán G, D’Amato G, MacGrogan D, de la Pompa JL. Endocardial notch signaling in cardiac development and disease. Circ Res. 2016;118(1):e1-e18. doi:10.1161/CIRCRESAHA.115.305350

23. Rubin CB, Hahn V, Kobayashi T, Litwack A. A report of accelerated coronary artery disease associated with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy. Case Rep Cardiol. 2015;2015:167513. doi:10.1155/2015/167513

24. Langer C, Adukauskaite A, Plank F, Feuchtner G, Cartes-Zumelzu F. Cerebral autosomal dominant arteriopathy (CADASIL) with cardiac involvement (ANOCA) and subcortical leukencephalopathy. J Cardiovasc Comput Tomogr. 2020;14(5):e1-e6. doi:10.1016/j.jcct.2018.08.005

25. Pettersen JA, Keith J, Gao F, Spence JD, Black SE. CADASIL accelerated by acute hypotension: Arterial and venous contribution to leukoaraiosis. Neurology. 2017;88(11):1077-1080. doi:10.1212/WNL.0000000000003717

References

1. Moreton FC, Razvi SS, Davidson R, Muir KW. Changing clinical patterns and increasing prevalence in CADASIL. Acta Neurol Scand. 2014;130(3):197-203. doi:10.1111/ane.12266

2. Lesnik Oberstein SA, Jukema JW, Van Duinen SG, Macfarlane PW, van Houwelingen HC, Breuning MH, et al. Myocardial infarction in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). Medicine (Baltimore). 2003;82(4):251-256. doi:10.1097/01.md.0000085054.63483.40

3. Di Donato I, Bianchi S, De Stefano N, Dichgans M, Dotti MT, Duering M, et al. Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) as a model of small vessel disease: update on clinical, diagnostic, and management aspects. BMC Med. 2017;15(1):41. doi:10.1186/s12916-017-0778-8

4. Dunphy L, Rani A, Duodu Y, Behnam Y. Cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy (CADASIL) presenting with stroke in a young man. BMJ Case Rep. 2019 ;12(7):e229609. doi:10.1136/bcr-2019-229609

5. Bianchi S, Zicari E, Carluccio A, Di Donato I, Pescini F, Nannucci S, et al. CADASIL in central Italy: a retrospective clinical and genetic study in 229 patients. J Neurol. 2015;262(1):134-141. doi:10.1007/s00415-014-7533-2

6. Phillips CD, Zuckerman SJ, Medical Education Commission. CADASIL can mimic multiple sclerosis. J La State Med Soc. 2010 May-Jun;162(3):174.

7. Hervé D, Chabriat H. CADASIL. J Geriatr Psychiatry Neurol. 2010;23(4):269-276. doi:10.1177/0891988710383570

8. Yamamoto Y, Hase Y, Ihara M, Khundakar A, Roeber S, Duering M, et al. Neuronal densities and vascular pathology in the hippocampal formation in CADASIL. Neurobiol Aging. 2021;97:33-40. doi:10.1016/j.neurobiolaging.2020.09.016

9. Ferrante EA, Cudrici CD, Boehm M. CADASIL: new advances in basic science and clinical perspectives. Curr Opin Hematol. 2019;26(3):193-198. doi:10.1097/MOH.0000000000000497

10. Opherk C, Peters N, Herzog J, Luedtke R, Dichgans M. Long-term prognosis and causes of death in CADASIL: a retrospective study in 411 patients. Brain. 2004;127(pt 11):2533-2539.

11. Rufa A, Guideri F, Acampa M, Cevenini G, Bianchi S, De Stefano N, et al. Cardiac autonomic nervous system and risk of arrhythmias in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). Stroke. 2007 Feb;38(2):276-280. doi:10.1093/brain/awh282

12. Joutel A, Corpechot C, Ducros A, Vahedi K, Chabriat H, Mouton P, et al. Notch3 mutations in CADASIL, a hereditary adult-onset condition causing stroke and dementia. Nature. 1996;383(6602):707-710. doi:10.1038/383707a0

13. Kalaria RN, Viitanen M, Kalimo H, Dichgans M, Tabira T, CASASIL Group of Vas-Cog. The pathogenesis of CADASIL: an update. J Neurol Sci. 2004;226(1-2):35-39. doi:10.1016/j.jns.2004.09.008

14. Reddy SPK, Vishnu VY, Goyal V, Singh MB, Arora S, Garg A, et al. CADASIL syndrome and stroke in young people. QJM. 2020 Feb 1;113(2):118-119. doi:10.1093/qjmed/hcz243

15. Carone DA. CADASIL and multiple sclerosis: A case report of prolonged misdiagnosis. Applied neuropsychology Adult. 2017;24(3):294-297. doi:10.1080/23279095.2016.1214132

16. Zhu S, Nahas SJ. CADASIL: Imaging characteristics and clinical correlation. Curr Pain Headache Rep. 2016;20(10):57. doi:10.1007/s11916-016-0584-6

17. Kalaria RN, Low WC, Oakley AE, Slade JY, Ince PG, Morris CM, et al. CADASIL and genetics of cerebral ischaemia. J Neural Transm Suppl. 2002;(63):75-90. doi:10.1007/978-3-7091-6137-1_5

18. O’Sullivan M, Jarosz JM, Martin RJ, Deasy N, Powell JF, Markus HS. MRI hyperintensities of the temporal lobe and external capsule in patients with CADASIL. Neurology. 2001;56(5):628-634. doi:10.1212/wnl.56.5.628

19. Khurshid S, Choi SH, Weng L-C, Wang EY, Trinquart L, Benjamin EJ, et al. Frequency of cardiac rhythm abnormalities in a half million adults. Circ ArrhythmElectrophysiol. 2018;11(7):e006273. doi:10.1161/CIRCEP.118.006273

20. Samuels MA. The brain–heart connection. Circulation. 2007;116(1):77-84. doi:10.1161/CIRCULATIONAHA. 106.678995

21. Cumurciuc R, Henry P, Gobron C, Vicaut E, Bousser MG, Chabriat H, et al. Electrocardiogram in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy patients without any clinical evidence of coronary artery disease: a case-control study. Stroke. 2006;37(4):1100-1102. doi:10.1161/01.STR.0000209242.68844.20

22. Luxán G, D’Amato G, MacGrogan D, de la Pompa JL. Endocardial notch signaling in cardiac development and disease. Circ Res. 2016;118(1):e1-e18. doi:10.1161/CIRCRESAHA.115.305350

23. Rubin CB, Hahn V, Kobayashi T, Litwack A. A report of accelerated coronary artery disease associated with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy. Case Rep Cardiol. 2015;2015:167513. doi:10.1155/2015/167513

24. Langer C, Adukauskaite A, Plank F, Feuchtner G, Cartes-Zumelzu F. Cerebral autosomal dominant arteriopathy (CADASIL) with cardiac involvement (ANOCA) and subcortical leukencephalopathy. J Cardiovasc Comput Tomogr. 2020;14(5):e1-e6. doi:10.1016/j.jcct.2018.08.005

25. Pettersen JA, Keith J, Gao F, Spence JD, Black SE. CADASIL accelerated by acute hypotension: Arterial and venous contribution to leukoaraiosis. Neurology. 2017;88(11):1077-1080. doi:10.1212/WNL.0000000000003717

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The Enigma of MS Etiology: Find an Answer, Ask More Questions

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The Enigma of MS Etiology: Find an Answer, Ask More Questions

 

Dr. Obeidat is an Assistant Professor in the Department of Neurology, 

Neuroimmunology and Multiple Sclerosis and is the Founding Director of the Neuroimmunology and MS Fellowship Program at The Medical College of Wisconsin in Milwaukee, WI.

Dr. Obeidat reports having consulted with/spoken for/conducted clinical trials for AbbVie, Alexion, Atara Biotherapeutics, Biogen, Bristol-Myers Squibb, Central, Celgene, EMD Serono, GW Pharmaceuticals, Genentech, Horizon, Jazz Pharma, Novartis, Sanofi/Genzyme, TG Therapeutics, and Viela Bio. Dr. Obeidat serves on the editorial board of the International Journal of MS Care, the advisory board of Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS®), and the Board of Governors of the Consortium of Multiple Sclerosis Centers.

 

“Could multiple sclerosis be the direct result of a yet-to-be identified infection?” asked John Kurtzke, MD, of his audience during his Grand Rounds entitled “Epidemiology and the Cause of Multiple Sclerosis” at the National Institute of Health (NIH) in 2015.1 As a pioneer of neuroepidemiology, Dr Kurtzke had long considered that infection was a key step in the development of multiple sclerosis (MS), the most disabling nontraumatic neurologic disease in young adults. He and others, from the 1970s onwards, described disease outbreaks and patterns of disease distribution in various countries during periods of immigration and even wartime.1,2 

 

A half century later and Dr Kurtzke’s question has a possible answer: The Epstein-Barr virus (EBV), a gamma herpes virus responsible for mononucleosis that has been long suspected as a link to the development of MS,3 is now more than a virus of interest. A longitudinal study pinpointed the virus’ almost universal presence in patients with MS.4 Not everyone who develops mononucleosis from EBV develops MS, but most people become infected with EBV at some point in their lives. EBV is highly prevalent in the general population, with some studies suggesting that more than 90% of people worldwide are infected with EBV.5 While the discovery raises many questions about MS etiology and disease progression, it also allows discussion on more therapeutic possibilities.

 

MS Numbers

With nearly 1 million people in the United States living with MS, and over 2.5 million people worldwide, MS has been the subject of numerous investigations.2 Its complexity and heterogeneity have gained significant interest from the scientific community, including from Dr. Kurtzke, who passed away the same year as his NIH presentation.1

 

Several investigators over the years have attempted to link viral infections to MS,3 especially EBV. In February 2022, a longitudinal study spanning 20 years shed additional light on this longstanding, controversial, heavily researched potential association.4 The collaborative group of investigators used a database of serial blood samples from more than 10 million active US military personnel to investigate the association between EBV and MS and to learn whether EBV infection preceded the development of MS. 


Out of 801 persons with a documented diagnosis of MS in this study, only 1 case occurred in a person who tested negative for EBV infection.4 At baseline, 35 people with MS tested negative for EBV infection, but after receiving their MS diagnosis, they tested positive for the virus,  suggesting a causal relationship between EBV and MS. The study also showed that the levels of serum neurofilament light (sNfL), a nonspecific biomarker indicative of neuroaxonal injury or degeneration, increased post-EBV infection in the sera of initially EBV-negative patients with MS.4 This raises the question again: Why do only a small subset of people with EBV develop MS?

Facts and Questions

MS is a complex, heterogeneous disease whose development would require more than a human gamma herpesvirus to directly trigger its life-long, unrelenting immune dysregulation in select people. The complexity, which has been reviewed in detail, 6 suggests a role for interaction between host genetics, vitamin D levels, vitamin D receptors, and a specific protein of EBV, called Epstein-Barr nuclear antigen 1 (EBNA1).6 A recent publication described the potential for molecular mimicry (also known as cross-reactivity) between (EBNA1)6 and a specific cell adhesion molecule expressed in glial cells of the central nervous system (GlialCAM).


But this molecular mimicry is not sufficient to explain the EBV/MS relationship. Even in monozygotic twins, the concordance rate is around 25%, leaving three-fourths of the risk of MS to the environment and genetics-environment interaction.8 The chances for monozygotic twins to both be infected with EBV are estimated at much more than 25%, given the epidemiology of EBV. Thus, EBV infection combined with specific genetic susceptibility remains insufficient to explain the observed epidemiology of MS. 

 

More Factors

Several investigators have reported on the association between low vitamin D levels and MS. Low vitamin D is thought to affect both disease development and inflammatory activity.9 So, does MS result from the interaction between EBV, genetics, and low vitamin D? This interaction is plausible and is supported by several lines of evidence.6 However, even the interaction between these 3 factors remains insufficient to explain the complexity of MS pathogenesis. 

 

An Unknown Mechanism

The triggering mechanism from EBV into MS remains an open question, and further research is needed. Nevertheless, if infection by EBV is a necessary, yet insufficient, step for MS to occur, can we prevent MS simply by preventing the primary EBV infection via vaccination? If so, what considerations must we make? For example, if EBV infection triggers MS via the transformation of infected memory B cells, thereby triggering an autoreactive immune response, then a vaccine capable of preventing the primary EBV infection could reduce the number of new MS cases, or ambitiously eradicate the disease itself. On the other hand, if molecular mimicry is the leading mechanism by which EBV infection triggers MS, then an EBV vaccine may have detrimental effects and theoretically trigger MS in susceptible individuals. Thus, it is of utmost importance to clearly understand how EBV infection contributes to MS pathogenesis to evaluate potential EBV vaccine candidates. 

 

Treatment Possibilities

What are some possible clinical implications for the EBV-MS story for people living with MS? An important consideration is whether latent EBV infection contributes to the disease process over time, or if the infection is just an initial step that triggers numerous events that then operate independently from the virus. Suppose latent EBV infection contributes to the ongoing inflammatory and neurodegenerative changes in MS. In that case, some may consider using antiviral therapies as possible therapeutics for MS (possibly as an add-on, in combination with existing or future classes of disease-modifying therapies). Other interventions targeted at infected, transformed, or autoreactive B cells may bring us closer to precision medicine in MS. On the other hand, if the role of EBV is mainly to kick off MS, then further interventions targeted at the virus may not prove to be clinically effective.

Finally, the recent evidence of possible molecular mimicry to support causality between EBV infection and MS needs further investigation to elucidate how a common, ubiquitous infection kicks off MS in selected individuals. Additionally, the complex interactions between EBV, the human immune system, and genetics, as well as with other factors such as emotional stress,10  low sun exposure,11 and other, yet-to-be-identified environmental factors, may add more pieces to the complex etiology puzzle of MS and perhaps allow for effective interventions to help reduce the incidence of MS and even modulate disease progression.

 
 
 
 
 
References

References

1. Obeidat AZ. John F. Kurtzke, MD (1926-2015). Neuroepidemiology. 2016;46(2):118-119.

2. Nathanson N,  Miller A. Epidemiology of multiple sclerosis: critique of the evidence for a viral etiology. Am J  Epidemiol. 1978;107(6):451-461.

3. Donati D. Viral infections and multiple sclerosis. Drug Discov Today Dis Models. 2020;32:27-33.

4. Bjornevik K, Cortese M, Healy BC, et al. Longitudinal analysis reveals high prevalence of Epstein-Barr virus associated with multiple sclerosis. Science. 2022;375(6578):296-301. 

5. Smatti MK, Al-Sadeq DW, Ali NH, Pintus G, Abou-Saleh H, Nasrallah GK. Epstein-Barr virus epidemiology, serology, and genetic variability of LMP-1 oncogene among healthy population: an update. Front Oncol. 2018;8:211. 

6. Marcucci SB, Obeidat AZ. EBNA1, EBNA2, and EBNA3 link Epstein-Barr virus and hypovitaminosis D in multiple sclerosis pathogenesis. J Neuroimmunol. 2020;339:577116.

7. Lanz, TV, Brewer RC, Ho PP, et al. Clonally expanded B cells in multiple sclerosis bind EBV EBNA1 and GlialCAM. Nature. 2022;603(7900):321-327.

8. Mumford CJ, Wood NW, Kellar-Wood H, Thorpe JW, Miller DH, Compston DA. The British Isles survey of multiple sclerosis in twins. Neurology. 1994;44(1):11-15. 

9. Fitzgerald KC, Munger KL, Köchert K, et al. Association of vitamin D levels with multiple sclerosis activity and progression in patients receiving interferon beta-1b. JAMA Neurol. 2015;72(12):1458-1465.

10. Mohr DC, Hart SL, Julian L, Cox D, Pelletier D. Association between stressful life events and exacerbation in multiple sclerosis: a meta-analysis. BMJ. 2004;328(7442):731. 

11. Hedström AK, Huang J, Brenner N, et al. Low sun exposure acts synergistically with high Epstein-Barr nuclear antigen 1 (EBNA-1) antibody levels in multiple sclerosis etiology. Eur J Neurol. 2021;28(12):4146-4152. 

 

 

 

Author and Disclosure Information

Dr. Obeidat reports having consulted with/spoken for/conducted clinical trials for AbbVie, Alexion, Atara Biotherapeutics, Biogen, Bristol-Myers Squibb, Central, Celgene, EMD Serono, GW Pharmaceuticals, Genentech, Horizon, Jazz Pharma, Novartis, Sanofi/Genzyme, TG Therapeutics, and Viela Bio. Dr. Obeidat serves on the editorial board of the International Journal of MS Care, the advisory board of Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS®), and the Board of Governors of the Consortium of Multiple Sclerosis Centers.

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Dr. Obeidat reports having consulted with/spoken for/conducted clinical trials for AbbVie, Alexion, Atara Biotherapeutics, Biogen, Bristol-Myers Squibb, Central, Celgene, EMD Serono, GW Pharmaceuticals, Genentech, Horizon, Jazz Pharma, Novartis, Sanofi/Genzyme, TG Therapeutics, and Viela Bio. Dr. Obeidat serves on the editorial board of the International Journal of MS Care, the advisory board of Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS®), and the Board of Governors of the Consortium of Multiple Sclerosis Centers.

Author and Disclosure Information

Dr. Obeidat reports having consulted with/spoken for/conducted clinical trials for AbbVie, Alexion, Atara Biotherapeutics, Biogen, Bristol-Myers Squibb, Central, Celgene, EMD Serono, GW Pharmaceuticals, Genentech, Horizon, Jazz Pharma, Novartis, Sanofi/Genzyme, TG Therapeutics, and Viela Bio. Dr. Obeidat serves on the editorial board of the International Journal of MS Care, the advisory board of Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS®), and the Board of Governors of the Consortium of Multiple Sclerosis Centers.

 

Dr. Obeidat is an Assistant Professor in the Department of Neurology, 

Neuroimmunology and Multiple Sclerosis and is the Founding Director of the Neuroimmunology and MS Fellowship Program at The Medical College of Wisconsin in Milwaukee, WI.

Dr. Obeidat reports having consulted with/spoken for/conducted clinical trials for AbbVie, Alexion, Atara Biotherapeutics, Biogen, Bristol-Myers Squibb, Central, Celgene, EMD Serono, GW Pharmaceuticals, Genentech, Horizon, Jazz Pharma, Novartis, Sanofi/Genzyme, TG Therapeutics, and Viela Bio. Dr. Obeidat serves on the editorial board of the International Journal of MS Care, the advisory board of Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS®), and the Board of Governors of the Consortium of Multiple Sclerosis Centers.

 

“Could multiple sclerosis be the direct result of a yet-to-be identified infection?” asked John Kurtzke, MD, of his audience during his Grand Rounds entitled “Epidemiology and the Cause of Multiple Sclerosis” at the National Institute of Health (NIH) in 2015.1 As a pioneer of neuroepidemiology, Dr Kurtzke had long considered that infection was a key step in the development of multiple sclerosis (MS), the most disabling nontraumatic neurologic disease in young adults. He and others, from the 1970s onwards, described disease outbreaks and patterns of disease distribution in various countries during periods of immigration and even wartime.1,2 

 

A half century later and Dr Kurtzke’s question has a possible answer: The Epstein-Barr virus (EBV), a gamma herpes virus responsible for mononucleosis that has been long suspected as a link to the development of MS,3 is now more than a virus of interest. A longitudinal study pinpointed the virus’ almost universal presence in patients with MS.4 Not everyone who develops mononucleosis from EBV develops MS, but most people become infected with EBV at some point in their lives. EBV is highly prevalent in the general population, with some studies suggesting that more than 90% of people worldwide are infected with EBV.5 While the discovery raises many questions about MS etiology and disease progression, it also allows discussion on more therapeutic possibilities.

 

MS Numbers

With nearly 1 million people in the United States living with MS, and over 2.5 million people worldwide, MS has been the subject of numerous investigations.2 Its complexity and heterogeneity have gained significant interest from the scientific community, including from Dr. Kurtzke, who passed away the same year as his NIH presentation.1

 

Several investigators over the years have attempted to link viral infections to MS,3 especially EBV. In February 2022, a longitudinal study spanning 20 years shed additional light on this longstanding, controversial, heavily researched potential association.4 The collaborative group of investigators used a database of serial blood samples from more than 10 million active US military personnel to investigate the association between EBV and MS and to learn whether EBV infection preceded the development of MS. 


Out of 801 persons with a documented diagnosis of MS in this study, only 1 case occurred in a person who tested negative for EBV infection.4 At baseline, 35 people with MS tested negative for EBV infection, but after receiving their MS diagnosis, they tested positive for the virus,  suggesting a causal relationship between EBV and MS. The study also showed that the levels of serum neurofilament light (sNfL), a nonspecific biomarker indicative of neuroaxonal injury or degeneration, increased post-EBV infection in the sera of initially EBV-negative patients with MS.4 This raises the question again: Why do only a small subset of people with EBV develop MS?

Facts and Questions

MS is a complex, heterogeneous disease whose development would require more than a human gamma herpesvirus to directly trigger its life-long, unrelenting immune dysregulation in select people. The complexity, which has been reviewed in detail, 6 suggests a role for interaction between host genetics, vitamin D levels, vitamin D receptors, and a specific protein of EBV, called Epstein-Barr nuclear antigen 1 (EBNA1).6 A recent publication described the potential for molecular mimicry (also known as cross-reactivity) between (EBNA1)6 and a specific cell adhesion molecule expressed in glial cells of the central nervous system (GlialCAM).


But this molecular mimicry is not sufficient to explain the EBV/MS relationship. Even in monozygotic twins, the concordance rate is around 25%, leaving three-fourths of the risk of MS to the environment and genetics-environment interaction.8 The chances for monozygotic twins to both be infected with EBV are estimated at much more than 25%, given the epidemiology of EBV. Thus, EBV infection combined with specific genetic susceptibility remains insufficient to explain the observed epidemiology of MS. 

 

More Factors

Several investigators have reported on the association between low vitamin D levels and MS. Low vitamin D is thought to affect both disease development and inflammatory activity.9 So, does MS result from the interaction between EBV, genetics, and low vitamin D? This interaction is plausible and is supported by several lines of evidence.6 However, even the interaction between these 3 factors remains insufficient to explain the complexity of MS pathogenesis. 

 

An Unknown Mechanism

The triggering mechanism from EBV into MS remains an open question, and further research is needed. Nevertheless, if infection by EBV is a necessary, yet insufficient, step for MS to occur, can we prevent MS simply by preventing the primary EBV infection via vaccination? If so, what considerations must we make? For example, if EBV infection triggers MS via the transformation of infected memory B cells, thereby triggering an autoreactive immune response, then a vaccine capable of preventing the primary EBV infection could reduce the number of new MS cases, or ambitiously eradicate the disease itself. On the other hand, if molecular mimicry is the leading mechanism by which EBV infection triggers MS, then an EBV vaccine may have detrimental effects and theoretically trigger MS in susceptible individuals. Thus, it is of utmost importance to clearly understand how EBV infection contributes to MS pathogenesis to evaluate potential EBV vaccine candidates. 

 

Treatment Possibilities

What are some possible clinical implications for the EBV-MS story for people living with MS? An important consideration is whether latent EBV infection contributes to the disease process over time, or if the infection is just an initial step that triggers numerous events that then operate independently from the virus. Suppose latent EBV infection contributes to the ongoing inflammatory and neurodegenerative changes in MS. In that case, some may consider using antiviral therapies as possible therapeutics for MS (possibly as an add-on, in combination with existing or future classes of disease-modifying therapies). Other interventions targeted at infected, transformed, or autoreactive B cells may bring us closer to precision medicine in MS. On the other hand, if the role of EBV is mainly to kick off MS, then further interventions targeted at the virus may not prove to be clinically effective.

Finally, the recent evidence of possible molecular mimicry to support causality between EBV infection and MS needs further investigation to elucidate how a common, ubiquitous infection kicks off MS in selected individuals. Additionally, the complex interactions between EBV, the human immune system, and genetics, as well as with other factors such as emotional stress,10  low sun exposure,11 and other, yet-to-be-identified environmental factors, may add more pieces to the complex etiology puzzle of MS and perhaps allow for effective interventions to help reduce the incidence of MS and even modulate disease progression.

 
 
 
 
 

 

Dr. Obeidat is an Assistant Professor in the Department of Neurology, 

Neuroimmunology and Multiple Sclerosis and is the Founding Director of the Neuroimmunology and MS Fellowship Program at The Medical College of Wisconsin in Milwaukee, WI.

Dr. Obeidat reports having consulted with/spoken for/conducted clinical trials for AbbVie, Alexion, Atara Biotherapeutics, Biogen, Bristol-Myers Squibb, Central, Celgene, EMD Serono, GW Pharmaceuticals, Genentech, Horizon, Jazz Pharma, Novartis, Sanofi/Genzyme, TG Therapeutics, and Viela Bio. Dr. Obeidat serves on the editorial board of the International Journal of MS Care, the advisory board of Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS®), and the Board of Governors of the Consortium of Multiple Sclerosis Centers.

 

“Could multiple sclerosis be the direct result of a yet-to-be identified infection?” asked John Kurtzke, MD, of his audience during his Grand Rounds entitled “Epidemiology and the Cause of Multiple Sclerosis” at the National Institute of Health (NIH) in 2015.1 As a pioneer of neuroepidemiology, Dr Kurtzke had long considered that infection was a key step in the development of multiple sclerosis (MS), the most disabling nontraumatic neurologic disease in young adults. He and others, from the 1970s onwards, described disease outbreaks and patterns of disease distribution in various countries during periods of immigration and even wartime.1,2 

 

A half century later and Dr Kurtzke’s question has a possible answer: The Epstein-Barr virus (EBV), a gamma herpes virus responsible for mononucleosis that has been long suspected as a link to the development of MS,3 is now more than a virus of interest. A longitudinal study pinpointed the virus’ almost universal presence in patients with MS.4 Not everyone who develops mononucleosis from EBV develops MS, but most people become infected with EBV at some point in their lives. EBV is highly prevalent in the general population, with some studies suggesting that more than 90% of people worldwide are infected with EBV.5 While the discovery raises many questions about MS etiology and disease progression, it also allows discussion on more therapeutic possibilities.

 

MS Numbers

With nearly 1 million people in the United States living with MS, and over 2.5 million people worldwide, MS has been the subject of numerous investigations.2 Its complexity and heterogeneity have gained significant interest from the scientific community, including from Dr. Kurtzke, who passed away the same year as his NIH presentation.1

 

Several investigators over the years have attempted to link viral infections to MS,3 especially EBV. In February 2022, a longitudinal study spanning 20 years shed additional light on this longstanding, controversial, heavily researched potential association.4 The collaborative group of investigators used a database of serial blood samples from more than 10 million active US military personnel to investigate the association between EBV and MS and to learn whether EBV infection preceded the development of MS. 


Out of 801 persons with a documented diagnosis of MS in this study, only 1 case occurred in a person who tested negative for EBV infection.4 At baseline, 35 people with MS tested negative for EBV infection, but after receiving their MS diagnosis, they tested positive for the virus,  suggesting a causal relationship between EBV and MS. The study also showed that the levels of serum neurofilament light (sNfL), a nonspecific biomarker indicative of neuroaxonal injury or degeneration, increased post-EBV infection in the sera of initially EBV-negative patients with MS.4 This raises the question again: Why do only a small subset of people with EBV develop MS?

Facts and Questions

MS is a complex, heterogeneous disease whose development would require more than a human gamma herpesvirus to directly trigger its life-long, unrelenting immune dysregulation in select people. The complexity, which has been reviewed in detail, 6 suggests a role for interaction between host genetics, vitamin D levels, vitamin D receptors, and a specific protein of EBV, called Epstein-Barr nuclear antigen 1 (EBNA1).6 A recent publication described the potential for molecular mimicry (also known as cross-reactivity) between (EBNA1)6 and a specific cell adhesion molecule expressed in glial cells of the central nervous system (GlialCAM).


But this molecular mimicry is not sufficient to explain the EBV/MS relationship. Even in monozygotic twins, the concordance rate is around 25%, leaving three-fourths of the risk of MS to the environment and genetics-environment interaction.8 The chances for monozygotic twins to both be infected with EBV are estimated at much more than 25%, given the epidemiology of EBV. Thus, EBV infection combined with specific genetic susceptibility remains insufficient to explain the observed epidemiology of MS. 

 

More Factors

Several investigators have reported on the association between low vitamin D levels and MS. Low vitamin D is thought to affect both disease development and inflammatory activity.9 So, does MS result from the interaction between EBV, genetics, and low vitamin D? This interaction is plausible and is supported by several lines of evidence.6 However, even the interaction between these 3 factors remains insufficient to explain the complexity of MS pathogenesis. 

 

An Unknown Mechanism

The triggering mechanism from EBV into MS remains an open question, and further research is needed. Nevertheless, if infection by EBV is a necessary, yet insufficient, step for MS to occur, can we prevent MS simply by preventing the primary EBV infection via vaccination? If so, what considerations must we make? For example, if EBV infection triggers MS via the transformation of infected memory B cells, thereby triggering an autoreactive immune response, then a vaccine capable of preventing the primary EBV infection could reduce the number of new MS cases, or ambitiously eradicate the disease itself. On the other hand, if molecular mimicry is the leading mechanism by which EBV infection triggers MS, then an EBV vaccine may have detrimental effects and theoretically trigger MS in susceptible individuals. Thus, it is of utmost importance to clearly understand how EBV infection contributes to MS pathogenesis to evaluate potential EBV vaccine candidates. 

 

Treatment Possibilities

What are some possible clinical implications for the EBV-MS story for people living with MS? An important consideration is whether latent EBV infection contributes to the disease process over time, or if the infection is just an initial step that triggers numerous events that then operate independently from the virus. Suppose latent EBV infection contributes to the ongoing inflammatory and neurodegenerative changes in MS. In that case, some may consider using antiviral therapies as possible therapeutics for MS (possibly as an add-on, in combination with existing or future classes of disease-modifying therapies). Other interventions targeted at infected, transformed, or autoreactive B cells may bring us closer to precision medicine in MS. On the other hand, if the role of EBV is mainly to kick off MS, then further interventions targeted at the virus may not prove to be clinically effective.

Finally, the recent evidence of possible molecular mimicry to support causality between EBV infection and MS needs further investigation to elucidate how a common, ubiquitous infection kicks off MS in selected individuals. Additionally, the complex interactions between EBV, the human immune system, and genetics, as well as with other factors such as emotional stress,10  low sun exposure,11 and other, yet-to-be-identified environmental factors, may add more pieces to the complex etiology puzzle of MS and perhaps allow for effective interventions to help reduce the incidence of MS and even modulate disease progression.

 
 
 
 
 
References

References

1. Obeidat AZ. John F. Kurtzke, MD (1926-2015). Neuroepidemiology. 2016;46(2):118-119.

2. Nathanson N,  Miller A. Epidemiology of multiple sclerosis: critique of the evidence for a viral etiology. Am J  Epidemiol. 1978;107(6):451-461.

3. Donati D. Viral infections and multiple sclerosis. Drug Discov Today Dis Models. 2020;32:27-33.

4. Bjornevik K, Cortese M, Healy BC, et al. Longitudinal analysis reveals high prevalence of Epstein-Barr virus associated with multiple sclerosis. Science. 2022;375(6578):296-301. 

5. Smatti MK, Al-Sadeq DW, Ali NH, Pintus G, Abou-Saleh H, Nasrallah GK. Epstein-Barr virus epidemiology, serology, and genetic variability of LMP-1 oncogene among healthy population: an update. Front Oncol. 2018;8:211. 

6. Marcucci SB, Obeidat AZ. EBNA1, EBNA2, and EBNA3 link Epstein-Barr virus and hypovitaminosis D in multiple sclerosis pathogenesis. J Neuroimmunol. 2020;339:577116.

7. Lanz, TV, Brewer RC, Ho PP, et al. Clonally expanded B cells in multiple sclerosis bind EBV EBNA1 and GlialCAM. Nature. 2022;603(7900):321-327.

8. Mumford CJ, Wood NW, Kellar-Wood H, Thorpe JW, Miller DH, Compston DA. The British Isles survey of multiple sclerosis in twins. Neurology. 1994;44(1):11-15. 

9. Fitzgerald KC, Munger KL, Köchert K, et al. Association of vitamin D levels with multiple sclerosis activity and progression in patients receiving interferon beta-1b. JAMA Neurol. 2015;72(12):1458-1465.

10. Mohr DC, Hart SL, Julian L, Cox D, Pelletier D. Association between stressful life events and exacerbation in multiple sclerosis: a meta-analysis. BMJ. 2004;328(7442):731. 

11. Hedström AK, Huang J, Brenner N, et al. Low sun exposure acts synergistically with high Epstein-Barr nuclear antigen 1 (EBNA-1) antibody levels in multiple sclerosis etiology. Eur J Neurol. 2021;28(12):4146-4152. 

 

 

 

References

References

1. Obeidat AZ. John F. Kurtzke, MD (1926-2015). Neuroepidemiology. 2016;46(2):118-119.

2. Nathanson N,  Miller A. Epidemiology of multiple sclerosis: critique of the evidence for a viral etiology. Am J  Epidemiol. 1978;107(6):451-461.

3. Donati D. Viral infections and multiple sclerosis. Drug Discov Today Dis Models. 2020;32:27-33.

4. Bjornevik K, Cortese M, Healy BC, et al. Longitudinal analysis reveals high prevalence of Epstein-Barr virus associated with multiple sclerosis. Science. 2022;375(6578):296-301. 

5. Smatti MK, Al-Sadeq DW, Ali NH, Pintus G, Abou-Saleh H, Nasrallah GK. Epstein-Barr virus epidemiology, serology, and genetic variability of LMP-1 oncogene among healthy population: an update. Front Oncol. 2018;8:211. 

6. Marcucci SB, Obeidat AZ. EBNA1, EBNA2, and EBNA3 link Epstein-Barr virus and hypovitaminosis D in multiple sclerosis pathogenesis. J Neuroimmunol. 2020;339:577116.

7. Lanz, TV, Brewer RC, Ho PP, et al. Clonally expanded B cells in multiple sclerosis bind EBV EBNA1 and GlialCAM. Nature. 2022;603(7900):321-327.

8. Mumford CJ, Wood NW, Kellar-Wood H, Thorpe JW, Miller DH, Compston DA. The British Isles survey of multiple sclerosis in twins. Neurology. 1994;44(1):11-15. 

9. Fitzgerald KC, Munger KL, Köchert K, et al. Association of vitamin D levels with multiple sclerosis activity and progression in patients receiving interferon beta-1b. JAMA Neurol. 2015;72(12):1458-1465.

10. Mohr DC, Hart SL, Julian L, Cox D, Pelletier D. Association between stressful life events and exacerbation in multiple sclerosis: a meta-analysis. BMJ. 2004;328(7442):731. 

11. Hedström AK, Huang J, Brenner N, et al. Low sun exposure acts synergistically with high Epstein-Barr nuclear antigen 1 (EBNA-1) antibody levels in multiple sclerosis etiology. Eur J Neurol. 2021;28(12):4146-4152. 

 

 

 

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Central centrifugal cicatricial alopecia

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Central centrifugal cicatricial alopecia

THE PRESENTATION

A Early central centrifugal cicatricial alopecia with a small central patch of hair loss in a 45-year-old Black woman.

B Late central centrifugal cicatricial alopecia with a large central patch of hair loss in a 43-year-old Black woman.

Central centrifugal cicatricial alopecia

Scarring alopecia is a collection of hair loss disorders including chronic cutaneous lupus erythematosus (discoid lupus), lichen planopilaris, dissecting cellulitis, acne keloidalis, and central centrifugal cicatricial alopecia.1 CCCA (formerly hot comb alopecia or follicular degeneration syndrome) is a progressive, scarring, inflammatory alopecia and represents the most common form of scarring alopecia in women of African descent. It results in permanent destruction of hair follicles.

 

Epidemiology

CCCA predominantly affects women of African descent but also may affect men. The prevalence of CCCA in those of African descent has varied in the literature. Khumalo2 reported a prevalence of 1.2% for women younger than 50 years and 6.7% in women older than 50 years. CCCA has been reported in other ethnic groups, such as those of Asian descent.3

Historically, hair care practices that are more common in those of African descent, such as high-tension hairstyles as well as heat and chemical hair relaxers, were implicated in the development of CCCA. However, the causes of CCCA are most likely multifactorial, including family history, genetic mutations, and hair care practices.4-7PADI3 mutations likely predispose some women to CCCA. Mutations in PADI3, which encodes peptidyl arginine deiminase 3 (an enzyme that modifies proteins crucial for the formation of hair shafts), were found in some patients with CCCA.8 Moreover, other genetic defects also likely play a role.7

Key clinical features

Early recognition is key for patients with CCCA.

  • CCCA begins in the central scalp (crown area, vertex) and spreads centrifugally.
  • Scalp symptoms such as tenderness, pain, a tingling or crawling sensation, and itching may occur.9 Some patients may not have any symptoms at all, and hair loss may progress painlessly.
  • Central hair breakage—forme fruste CCCA—may be a presenting sign of CCCA.9
  • Loss of follicular ostia and mottled hypopigmented and hyperpigmented macules are common findings.6
  • CCCA can be diagnosed clinically and by histopathology.

Worth noting

Patients may experience hair loss and scalp symptoms for years before seeking medical evaluation. In some cultures, hair breakage or itching on the top of the scalp may be viewed as a normal occurrence in life.

It is important to set patient expectations that CCCA is a scarring alopecia, and the initial goal often is to maintain the patient's existing hair. However, hair and areas responding to treatment should still be treated. Without any intervention, the resulting scarring from CCCA may permanently scar follicles on the entire scalp.

Continue to: Due to the inflammatory...

 

 

Due to the inflammatory nature of CCCA, potent topical corticosteroids (eg, clobetasol propionate), intralesional corticosteroids (eg, triamcinolone acetonide), and oral antiinflammatory agents (eg, doxycycline) are utilized in the treatment of CCCA. Minoxidil is another treatment option. Adjuvant therapies such as topical metformin also have been tried.10 Importantly, treatment of CCCA may halt further permanent destruction of hair follicles, but scalp symptoms may reappear periodically and require re-treatment with anti-inflammatory agents.

Health care highlight

Thorough scalp examination and awareness of clinical features of CCCA may prompt earlier diagnosis and prevent future severe permanent alopecia. Clinicians should encourage patients with suggestive signs or symptoms of CCCA to seek care from a dermatologist.

References

1. Sperling LC. Scarring alopecia and the dermatopathologist. J Cutan Pathol. 2001;28:333-342. doi:10.1034/ j.1600-0560.2001.280701.x

2. Khumalo NP. Prevalence of central centrifugal cicatricial alopecia. Arch Dermatol. 2011;147:1453-1454. doi:10.1001/ archderm.147.12.1453

3. Su HJ, Cheng AY, Liu CH, et al. Primary scarring alopecia: a retrospective study of 89 patients in Taiwan [published online January 16, 2018]. J Dermatol. 2018;45:450-455. doi:10.1111/ 1346-8138.14217

4. Sperling LC, Cowper SE. The histopathology of primary cicatricial alopecia. Semin Cutan Med Surg. 2006;25:41-50

5. Dlova NC, Forder M. Central centrifugal cicatricial alopecia: possible familial aetiology in two African families from South Africa. Int J Dermatol. 2012;51(supp 1):17-20, 20-23.

6. Ogunleye TA, Quinn CR, McMichael A. Alopecia. In: Taylor SC, Kelly AP, Lim HW, et al, eds. Dermatology for Skin of Color. McGraw Hill; 2016:253-264.

7. Uitto J. Genetic susceptibility to alopecia [published online February 13, 2019]. N Engl J Med. 2019;380:873-876. doi:10.1056/ NEJMe1900042

8. Malki L, Sarig O, Romano MT, et al. Variant PADI3 in central centrifugal cicatricial alopecia. N Engl J Med. 2019;380:833-841.

9. Callender VD, Wright DR, Davis EC, et al. Hair breakage as a presenting sign of early or occult central centrifugal cicatricial alopecia: clinicopathologic findings in 9 patients. Arch Dermatol. 2012;148:1047-1052.

10. Araoye EF, Thomas JAL, Aguh CU. Hair regrowth in 2 patients with recalcitrant central centrifugal cicatricial alopecia after use of topical metformin. JAAD Case Rep. 2020;6:106-108. doi:10.1016/ j.jdcr.2019.12.008.

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Candrice R. Heath, MD
Department of Dermatology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA

Richard P. Usatine, MD
Family and Community Medicine, Dermatology and Cutaneous Surgery, University of Texas Health, San Antonio

The authors reported no potential conflict of interest relevant to this article.

Simultaneously published in Cutis and The Journal of Family Practice.

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Richard P. Usatine, MD
Family and Community Medicine, Dermatology and Cutaneous Surgery, University of Texas Health, San Antonio

The authors reported no potential conflict of interest relevant to this article.

Simultaneously published in Cutis and The Journal of Family Practice.

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Candrice R. Heath, MD
Department of Dermatology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA

Richard P. Usatine, MD
Family and Community Medicine, Dermatology and Cutaneous Surgery, University of Texas Health, San Antonio

The authors reported no potential conflict of interest relevant to this article.

Simultaneously published in Cutis and The Journal of Family Practice.

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THE PRESENTATION

A Early central centrifugal cicatricial alopecia with a small central patch of hair loss in a 45-year-old Black woman.

B Late central centrifugal cicatricial alopecia with a large central patch of hair loss in a 43-year-old Black woman.

Central centrifugal cicatricial alopecia

Scarring alopecia is a collection of hair loss disorders including chronic cutaneous lupus erythematosus (discoid lupus), lichen planopilaris, dissecting cellulitis, acne keloidalis, and central centrifugal cicatricial alopecia.1 CCCA (formerly hot comb alopecia or follicular degeneration syndrome) is a progressive, scarring, inflammatory alopecia and represents the most common form of scarring alopecia in women of African descent. It results in permanent destruction of hair follicles.

 

Epidemiology

CCCA predominantly affects women of African descent but also may affect men. The prevalence of CCCA in those of African descent has varied in the literature. Khumalo2 reported a prevalence of 1.2% for women younger than 50 years and 6.7% in women older than 50 years. CCCA has been reported in other ethnic groups, such as those of Asian descent.3

Historically, hair care practices that are more common in those of African descent, such as high-tension hairstyles as well as heat and chemical hair relaxers, were implicated in the development of CCCA. However, the causes of CCCA are most likely multifactorial, including family history, genetic mutations, and hair care practices.4-7PADI3 mutations likely predispose some women to CCCA. Mutations in PADI3, which encodes peptidyl arginine deiminase 3 (an enzyme that modifies proteins crucial for the formation of hair shafts), were found in some patients with CCCA.8 Moreover, other genetic defects also likely play a role.7

Key clinical features

Early recognition is key for patients with CCCA.

  • CCCA begins in the central scalp (crown area, vertex) and spreads centrifugally.
  • Scalp symptoms such as tenderness, pain, a tingling or crawling sensation, and itching may occur.9 Some patients may not have any symptoms at all, and hair loss may progress painlessly.
  • Central hair breakage—forme fruste CCCA—may be a presenting sign of CCCA.9
  • Loss of follicular ostia and mottled hypopigmented and hyperpigmented macules are common findings.6
  • CCCA can be diagnosed clinically and by histopathology.

Worth noting

Patients may experience hair loss and scalp symptoms for years before seeking medical evaluation. In some cultures, hair breakage or itching on the top of the scalp may be viewed as a normal occurrence in life.

It is important to set patient expectations that CCCA is a scarring alopecia, and the initial goal often is to maintain the patient's existing hair. However, hair and areas responding to treatment should still be treated. Without any intervention, the resulting scarring from CCCA may permanently scar follicles on the entire scalp.

Continue to: Due to the inflammatory...

 

 

Due to the inflammatory nature of CCCA, potent topical corticosteroids (eg, clobetasol propionate), intralesional corticosteroids (eg, triamcinolone acetonide), and oral antiinflammatory agents (eg, doxycycline) are utilized in the treatment of CCCA. Minoxidil is another treatment option. Adjuvant therapies such as topical metformin also have been tried.10 Importantly, treatment of CCCA may halt further permanent destruction of hair follicles, but scalp symptoms may reappear periodically and require re-treatment with anti-inflammatory agents.

Health care highlight

Thorough scalp examination and awareness of clinical features of CCCA may prompt earlier diagnosis and prevent future severe permanent alopecia. Clinicians should encourage patients with suggestive signs or symptoms of CCCA to seek care from a dermatologist.

THE PRESENTATION

A Early central centrifugal cicatricial alopecia with a small central patch of hair loss in a 45-year-old Black woman.

B Late central centrifugal cicatricial alopecia with a large central patch of hair loss in a 43-year-old Black woman.

Central centrifugal cicatricial alopecia

Scarring alopecia is a collection of hair loss disorders including chronic cutaneous lupus erythematosus (discoid lupus), lichen planopilaris, dissecting cellulitis, acne keloidalis, and central centrifugal cicatricial alopecia.1 CCCA (formerly hot comb alopecia or follicular degeneration syndrome) is a progressive, scarring, inflammatory alopecia and represents the most common form of scarring alopecia in women of African descent. It results in permanent destruction of hair follicles.

 

Epidemiology

CCCA predominantly affects women of African descent but also may affect men. The prevalence of CCCA in those of African descent has varied in the literature. Khumalo2 reported a prevalence of 1.2% for women younger than 50 years and 6.7% in women older than 50 years. CCCA has been reported in other ethnic groups, such as those of Asian descent.3

Historically, hair care practices that are more common in those of African descent, such as high-tension hairstyles as well as heat and chemical hair relaxers, were implicated in the development of CCCA. However, the causes of CCCA are most likely multifactorial, including family history, genetic mutations, and hair care practices.4-7PADI3 mutations likely predispose some women to CCCA. Mutations in PADI3, which encodes peptidyl arginine deiminase 3 (an enzyme that modifies proteins crucial for the formation of hair shafts), were found in some patients with CCCA.8 Moreover, other genetic defects also likely play a role.7

Key clinical features

Early recognition is key for patients with CCCA.

  • CCCA begins in the central scalp (crown area, vertex) and spreads centrifugally.
  • Scalp symptoms such as tenderness, pain, a tingling or crawling sensation, and itching may occur.9 Some patients may not have any symptoms at all, and hair loss may progress painlessly.
  • Central hair breakage—forme fruste CCCA—may be a presenting sign of CCCA.9
  • Loss of follicular ostia and mottled hypopigmented and hyperpigmented macules are common findings.6
  • CCCA can be diagnosed clinically and by histopathology.

Worth noting

Patients may experience hair loss and scalp symptoms for years before seeking medical evaluation. In some cultures, hair breakage or itching on the top of the scalp may be viewed as a normal occurrence in life.

It is important to set patient expectations that CCCA is a scarring alopecia, and the initial goal often is to maintain the patient's existing hair. However, hair and areas responding to treatment should still be treated. Without any intervention, the resulting scarring from CCCA may permanently scar follicles on the entire scalp.

Continue to: Due to the inflammatory...

 

 

Due to the inflammatory nature of CCCA, potent topical corticosteroids (eg, clobetasol propionate), intralesional corticosteroids (eg, triamcinolone acetonide), and oral antiinflammatory agents (eg, doxycycline) are utilized in the treatment of CCCA. Minoxidil is another treatment option. Adjuvant therapies such as topical metformin also have been tried.10 Importantly, treatment of CCCA may halt further permanent destruction of hair follicles, but scalp symptoms may reappear periodically and require re-treatment with anti-inflammatory agents.

Health care highlight

Thorough scalp examination and awareness of clinical features of CCCA may prompt earlier diagnosis and prevent future severe permanent alopecia. Clinicians should encourage patients with suggestive signs or symptoms of CCCA to seek care from a dermatologist.

References

1. Sperling LC. Scarring alopecia and the dermatopathologist. J Cutan Pathol. 2001;28:333-342. doi:10.1034/ j.1600-0560.2001.280701.x

2. Khumalo NP. Prevalence of central centrifugal cicatricial alopecia. Arch Dermatol. 2011;147:1453-1454. doi:10.1001/ archderm.147.12.1453

3. Su HJ, Cheng AY, Liu CH, et al. Primary scarring alopecia: a retrospective study of 89 patients in Taiwan [published online January 16, 2018]. J Dermatol. 2018;45:450-455. doi:10.1111/ 1346-8138.14217

4. Sperling LC, Cowper SE. The histopathology of primary cicatricial alopecia. Semin Cutan Med Surg. 2006;25:41-50

5. Dlova NC, Forder M. Central centrifugal cicatricial alopecia: possible familial aetiology in two African families from South Africa. Int J Dermatol. 2012;51(supp 1):17-20, 20-23.

6. Ogunleye TA, Quinn CR, McMichael A. Alopecia. In: Taylor SC, Kelly AP, Lim HW, et al, eds. Dermatology for Skin of Color. McGraw Hill; 2016:253-264.

7. Uitto J. Genetic susceptibility to alopecia [published online February 13, 2019]. N Engl J Med. 2019;380:873-876. doi:10.1056/ NEJMe1900042

8. Malki L, Sarig O, Romano MT, et al. Variant PADI3 in central centrifugal cicatricial alopecia. N Engl J Med. 2019;380:833-841.

9. Callender VD, Wright DR, Davis EC, et al. Hair breakage as a presenting sign of early or occult central centrifugal cicatricial alopecia: clinicopathologic findings in 9 patients. Arch Dermatol. 2012;148:1047-1052.

10. Araoye EF, Thomas JAL, Aguh CU. Hair regrowth in 2 patients with recalcitrant central centrifugal cicatricial alopecia after use of topical metformin. JAAD Case Rep. 2020;6:106-108. doi:10.1016/ j.jdcr.2019.12.008.

References

1. Sperling LC. Scarring alopecia and the dermatopathologist. J Cutan Pathol. 2001;28:333-342. doi:10.1034/ j.1600-0560.2001.280701.x

2. Khumalo NP. Prevalence of central centrifugal cicatricial alopecia. Arch Dermatol. 2011;147:1453-1454. doi:10.1001/ archderm.147.12.1453

3. Su HJ, Cheng AY, Liu CH, et al. Primary scarring alopecia: a retrospective study of 89 patients in Taiwan [published online January 16, 2018]. J Dermatol. 2018;45:450-455. doi:10.1111/ 1346-8138.14217

4. Sperling LC, Cowper SE. The histopathology of primary cicatricial alopecia. Semin Cutan Med Surg. 2006;25:41-50

5. Dlova NC, Forder M. Central centrifugal cicatricial alopecia: possible familial aetiology in two African families from South Africa. Int J Dermatol. 2012;51(supp 1):17-20, 20-23.

6. Ogunleye TA, Quinn CR, McMichael A. Alopecia. In: Taylor SC, Kelly AP, Lim HW, et al, eds. Dermatology for Skin of Color. McGraw Hill; 2016:253-264.

7. Uitto J. Genetic susceptibility to alopecia [published online February 13, 2019]. N Engl J Med. 2019;380:873-876. doi:10.1056/ NEJMe1900042

8. Malki L, Sarig O, Romano MT, et al. Variant PADI3 in central centrifugal cicatricial alopecia. N Engl J Med. 2019;380:833-841.

9. Callender VD, Wright DR, Davis EC, et al. Hair breakage as a presenting sign of early or occult central centrifugal cicatricial alopecia: clinicopathologic findings in 9 patients. Arch Dermatol. 2012;148:1047-1052.

10. Araoye EF, Thomas JAL, Aguh CU. Hair regrowth in 2 patients with recalcitrant central centrifugal cicatricial alopecia after use of topical metformin. JAAD Case Rep. 2020;6:106-108. doi:10.1016/ j.jdcr.2019.12.008.

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No Veteran Leaves Alone: Ensuring Veterans Receive a Hero’s Final Salute

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It is a great honor and privilege to care for the men and women who have bravely served our country, and to give a hero’s Final Salute in recognition of the veteran’s service and sacrifices. US Department of Veterans Affairs (VA) and other non-VA health care facilities caring for veterans find meaning and take pride in providing a Final Salute to veterans who spend their last days of life at their facilities. The Final Salute aligns with the mission of the VA: To fulfill President Lincoln’s promise “To care for him who shall have borne the battle, and for his widow, and his orphan” by serving and honoring the people who are America’s veterans.1 As health care professionals, we feel and grieve the loss when a veteran dies within our facilities. While some VA and community health care facilities honor veterans at the time of death, others have yet to implement a Final Salute program.2 How can we ensure that veterans at the time of death receive a hero’s Final Salute?

There are 26 million veterans alive today, representing about 8% of the total US adult population.3 Yet more than 1800 veterans die every day, representing about a quarter of all US deaths.4,5 Most veterans die in the community; only 4% of veteran deaths occur in VA facilities.5,6 This article highlights the unique tradition that a few VA and community health care facilities have launched to honor veterans whose journeys end under their care. This article also is a call to action to raise awareness of the importance of instituting the Final Salute program that is part of the end-of-life protocol for veterans.

A Final Salute ceremony (also called Honors Escort or Honor Walk) takes place when a veteran who dies in the hospital or nursing home is transported on the gurney from the location of their passing to the funeral home vehicle or the morgue. Staff, family members, visitors, and other veterans silently line the hallways from the veteran’s room to the health care facility exit and pay their respects to the deceased veteran. A Final Salute is a quiet, yet profound and powerful way for care teams to ensure that the deceased veteran does not leave alone.

VA-Based Ceremonies

There are many acts of remembrance at the bedside from the time of death to the time when the veteran’s body approaches the funeral home vehicle or the doors of the morgue. Tonya Ross, social worker and Honors Escort program manager at the Robert J. Dole VA Medical Center (VAMC) in Wichita, Kansas, reported that following the death of a veteran, there is a bedside remembrance that begins with a flag ceremony. Afterward, the veteran’s gurney is draped with the American flag, and as the procession moves through the medical center, the veterans salute, and all others place their hands over their hearts

Chaplain Michael Halyard at the Ozarks VAMC in Fayetteville, Arkansas, reported that following the death of a veteran, the chaplain greets family members with condolences and allows them to grieve and reflect on their life with the deceased veteran. On arrival of the funeral home team, an announcement for an Honor Walk is made. Staff, visitors, and family are lined up on the first floor of the hospital waiting to pay their final respects to the veteran. A slow processional of the veteran covered by a handmade quilt is escorted by a VA police officer and the chaplain. The processional stops in the middle and the chaplain announces, “Let us pause for a moment of silence as we honor one of our own US Army veterans who has completed the journey of life.”

The Final Salute at the VA Wilkes-Barre Community Living Center (CLC) in Pennsylvania begins with a bedside flag ceremony. Afterward, the veteran’s gurney is draped with the flag, and as the procession moves through the CLC, all who are standing along the route offer their respects. Throughout the ceremony, a team member remains with the family of the deceased, providing comfort and support. Once the ceremony is completed, the team member remains with the family to ensure all issues are addressed and all questions or concerns are answered.

Residents of the Philadelphia VAMC CLC in Pennsylvania have found a way to say a last goodbye to fellow veterans in a unique and dignified manner. Bettyanne Corkery, nurse manager for the Heroes’ Crossing hospice and palliative care unit explains, “Our Honor Guard evolved from our residents’ requests. We used to drape a flag over the body of veterans leaving us for the last time, but our residents came to us and said they wanted to do more.” CLC residents wanted to form an Honor Guard and say goodbye with dignity and grace. Gerry Donlon, a US Army Vietnam veteran and president of the residents council and chief program coordinator, explained that Honor Guard members are called to the deceased’s room and stand guard until the hearse comes. Donlon adds, “We proceed forward, along with the family, and the speaker system for the hospital plays patriotic songs, including Taps. When we get to the lobby, we stop, and I say a prayer. We fold the flag military style and hand it over to the family members, we render a Final Salute, and then the veteran is taken to the hearse.”7

 

 

Community Cermeonies

Texas Health Arlington Memorial Hospital (THAM) has honored 531 veterans with Final Salutes since 2015. Before the official procession begins, designated employees drape the patient’s body with the flag. Physicians, nurses, and volunteers escort the body in a silent procession along with the family. On leaving, the veteran’s family receives the flag in honor of their loved one. A specially designed medallion has been placed in the lobby floor at the location where the Final Salute is rendered. Christi Evans, RN, BSN, ACM, manager for care
coordination at AnMed Health, Anderson, South Carolina, witnessed a Final Salute at THAM for a relative and took the idea to Mike Johnston, Director of Spiritual Care to establish the program at AnMed Health, which has provided 118 Final Salutes since 2018.

Central Maine Healthcare (CMH), which operates 3 hospitals, provides 2 ceremonies. The Final Salute occurs prior to the veteran’s passing and the Honor Walk gathers hospital personnel outside the patient’s room as they are moved. During the Final Salute, with the approval of a veteran’s family, a veteran employed by CMF presents the veteran with a folded flag and certificate and thanks them for their service and hospital employee salute. After the veteran dies, staff members gather in the hallway for the Honor Walk. Ascension Sacred Heart (ASH), Florida, where on average 260 veterans look for treatment every month, has taken the Final Salute to all 4 of their hospitals. Sabrina Granese, BSN, RN, Military Service Line Director at ASH explains, “Patients that are active duty or veterans are identified at the time of admission. When a veteran passes away, with the approval of a veteran’s family, ‘Code veteran’ will be heard over the hospital intercom. Staff members will have 5 minutes to make their way to the main hospital entrance for the Honor Walk.” Similarly, the skilled nursing facilities operated by Bethesda Health Group, St. Louis, Missouri, have implemented the Veteran Escort Ceremony. Employees, volunteers, family members, and residents line the hallways during the procession to salute and honor the passing of the veteran’s body.

Closure For Families

Simple yet magnificent, a Final Salute shows that a veteran is “gone but not forgotten” and also shows families they are not alone as they too made sacrifices to allow their loved ones to serve in the Armed Forces; it signals the hope of healing and closure.8 “The staff came to pay their respects,” recalled Cindy Roberts, a social worker at the VA Bay Pines, when her relative died at the Ozarks VAMC. She explained, I wasn’t expecting as much because it was 2 AM. I have never in my life had an experience like that. I wish there were words to describe it; I wish every VAMC in the country did that.”

Hope Danishanko, social worker at the VA Wilkes-Barre CLC, said veterans are appreciative of the program. “I have had many CLC residents tell me that the Honors Escort allows them to have closure. They also feel it provides respect to the veteran who has passed.”

Bettyanne Corkery noted that the Philadelphia CLC Honor Guard program is unique because it is veteran driven. “They have sessions in which they talk about what works and what doesn’t, and they recruit new volunteers themselves,” she said. “It has evolved into the most beautiful ceremony, and they are constantly tweaking it.” According to Gerry Donlon, “When you see all 8 members of the Honor Guard get a call at 2 AM, and everyone shows up, you know there’s personal satisfaction. I’d like to see every CLC [throughout VA] do this. I really would.”7

“Family members tell us they feel blessed and honored to be a part of the program. They are so grateful for the way we pay tribute to their veteran loved one,” says Leslie Schaeffer, support services manager and bereavement coordinator and coordinator of the Veteran Escort Ceremony at Bethesda Health Group communities.

Privileged and humbled—that is how staff and family members describe feeling after participating in a Final Salute. Its impact on the families has been amazing. Between the tears, there are thanks for the recognition of the sacrifices their loved ones made. When one family was informed of the ceremony by Reverend Tricia Lytle, Manager of Spiritual Care at AnMed Health, the “whole family responded by explaining how much that meant at such a difficult time. They began sharing stories about his service and how proud he was to be a veteran,” she reported. “As I [Rev. Lytle] leaned over to present the flag at the bedside, the wife reached up and took hold as she tearfully accepted it and embraced it close to her heart. The staff in the hallway looked on respectfully also in tears.”

Conclusions

The Final Salute is a brief ceremonial procession demonstrating that the mission to care for America’s veterans does not end at the bedside. It ensures that no veteran’s body is alone when led out of the health facility room to the exit. With these Final Salute practices, I hope that the rest of VA and community health facilities caring for veterans will implement a Final Salute program to better honor veterans who depart in their care.

Acknowledgments
The author would like to express gratitude to everyone who so openly shared their stories—your insight, advice, and encouragement are inspiring and invaluable. Thank you to all the facilities that consented to be featured in this article.

References

1. US Department of Veteran Affairs. About VA: mission, vision, core values & goals. Updated September 30, 2021. Accessed September 30, 2021. https://www.va.gov /about_va/mission.asp

2. Kuznik R. Hospital program presentation, 2021 national convention. Accessed September 30, 2021. https:// vfwauxiliary.org/wp-content/uploads/2021.2022-National -Hospital-Ambassador-Presentation-Notes.pdf

3. US Department of Veteran Affairs, National Center for Veterans Analysis and Statistics. Veteran population projections 2017-2037. Published 2016. Accessed September 30, 2021. https://www.va.gov/vetdata/docs /Demographics/New_Vetpop_Model/Vetpop_Infographic _Final31.pdf

4. Calkins H. Psychologists, veterans and end-of-life care. Good Practice. Winter 2018. Accessed September 30, 2021. https://www.apaservices.org/practice/good -practice/veterans-end-of-life.pdf

5. US Department of Veterans Affairs, National Center for Veterans Analysis and Statistics. Accessed September 30, 2021. http://www.va.gov/vetdata

6. Grassman D. Veterans: an underserved population. Published 2007. Accessed September 30, 2021. https:// www.wehonorveterans.org/wp-content/uploads/2020/02 /WHVP_Toolkit.pdf

7. US Department of Veterans Affairs, VA Healthcare-VISN 4. An honorable procession: Philadelphia’s Honor Guard provides veterans a dignified farewell. 2015. Updated December 15, 2015. Accessed Semptember 30, 2021. https://www.visn4.va.gov/VISN4/news/vision/issue21 /honors-escort.asp

8. Nathan S, Dunn KM. Gone but not forgotten: how VA remembers. Federal Practitioner. 2019;36(6):254-256.

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Disclaimer

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

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Article PDF
Article PDF

It is a great honor and privilege to care for the men and women who have bravely served our country, and to give a hero’s Final Salute in recognition of the veteran’s service and sacrifices. US Department of Veterans Affairs (VA) and other non-VA health care facilities caring for veterans find meaning and take pride in providing a Final Salute to veterans who spend their last days of life at their facilities. The Final Salute aligns with the mission of the VA: To fulfill President Lincoln’s promise “To care for him who shall have borne the battle, and for his widow, and his orphan” by serving and honoring the people who are America’s veterans.1 As health care professionals, we feel and grieve the loss when a veteran dies within our facilities. While some VA and community health care facilities honor veterans at the time of death, others have yet to implement a Final Salute program.2 How can we ensure that veterans at the time of death receive a hero’s Final Salute?

There are 26 million veterans alive today, representing about 8% of the total US adult population.3 Yet more than 1800 veterans die every day, representing about a quarter of all US deaths.4,5 Most veterans die in the community; only 4% of veteran deaths occur in VA facilities.5,6 This article highlights the unique tradition that a few VA and community health care facilities have launched to honor veterans whose journeys end under their care. This article also is a call to action to raise awareness of the importance of instituting the Final Salute program that is part of the end-of-life protocol for veterans.

A Final Salute ceremony (also called Honors Escort or Honor Walk) takes place when a veteran who dies in the hospital or nursing home is transported on the gurney from the location of their passing to the funeral home vehicle or the morgue. Staff, family members, visitors, and other veterans silently line the hallways from the veteran’s room to the health care facility exit and pay their respects to the deceased veteran. A Final Salute is a quiet, yet profound and powerful way for care teams to ensure that the deceased veteran does not leave alone.

VA-Based Ceremonies

There are many acts of remembrance at the bedside from the time of death to the time when the veteran’s body approaches the funeral home vehicle or the doors of the morgue. Tonya Ross, social worker and Honors Escort program manager at the Robert J. Dole VA Medical Center (VAMC) in Wichita, Kansas, reported that following the death of a veteran, there is a bedside remembrance that begins with a flag ceremony. Afterward, the veteran’s gurney is draped with the American flag, and as the procession moves through the medical center, the veterans salute, and all others place their hands over their hearts

Chaplain Michael Halyard at the Ozarks VAMC in Fayetteville, Arkansas, reported that following the death of a veteran, the chaplain greets family members with condolences and allows them to grieve and reflect on their life with the deceased veteran. On arrival of the funeral home team, an announcement for an Honor Walk is made. Staff, visitors, and family are lined up on the first floor of the hospital waiting to pay their final respects to the veteran. A slow processional of the veteran covered by a handmade quilt is escorted by a VA police officer and the chaplain. The processional stops in the middle and the chaplain announces, “Let us pause for a moment of silence as we honor one of our own US Army veterans who has completed the journey of life.”

The Final Salute at the VA Wilkes-Barre Community Living Center (CLC) in Pennsylvania begins with a bedside flag ceremony. Afterward, the veteran’s gurney is draped with the flag, and as the procession moves through the CLC, all who are standing along the route offer their respects. Throughout the ceremony, a team member remains with the family of the deceased, providing comfort and support. Once the ceremony is completed, the team member remains with the family to ensure all issues are addressed and all questions or concerns are answered.

Residents of the Philadelphia VAMC CLC in Pennsylvania have found a way to say a last goodbye to fellow veterans in a unique and dignified manner. Bettyanne Corkery, nurse manager for the Heroes’ Crossing hospice and palliative care unit explains, “Our Honor Guard evolved from our residents’ requests. We used to drape a flag over the body of veterans leaving us for the last time, but our residents came to us and said they wanted to do more.” CLC residents wanted to form an Honor Guard and say goodbye with dignity and grace. Gerry Donlon, a US Army Vietnam veteran and president of the residents council and chief program coordinator, explained that Honor Guard members are called to the deceased’s room and stand guard until the hearse comes. Donlon adds, “We proceed forward, along with the family, and the speaker system for the hospital plays patriotic songs, including Taps. When we get to the lobby, we stop, and I say a prayer. We fold the flag military style and hand it over to the family members, we render a Final Salute, and then the veteran is taken to the hearse.”7

 

 

Community Cermeonies

Texas Health Arlington Memorial Hospital (THAM) has honored 531 veterans with Final Salutes since 2015. Before the official procession begins, designated employees drape the patient’s body with the flag. Physicians, nurses, and volunteers escort the body in a silent procession along with the family. On leaving, the veteran’s family receives the flag in honor of their loved one. A specially designed medallion has been placed in the lobby floor at the location where the Final Salute is rendered. Christi Evans, RN, BSN, ACM, manager for care
coordination at AnMed Health, Anderson, South Carolina, witnessed a Final Salute at THAM for a relative and took the idea to Mike Johnston, Director of Spiritual Care to establish the program at AnMed Health, which has provided 118 Final Salutes since 2018.

Central Maine Healthcare (CMH), which operates 3 hospitals, provides 2 ceremonies. The Final Salute occurs prior to the veteran’s passing and the Honor Walk gathers hospital personnel outside the patient’s room as they are moved. During the Final Salute, with the approval of a veteran’s family, a veteran employed by CMF presents the veteran with a folded flag and certificate and thanks them for their service and hospital employee salute. After the veteran dies, staff members gather in the hallway for the Honor Walk. Ascension Sacred Heart (ASH), Florida, where on average 260 veterans look for treatment every month, has taken the Final Salute to all 4 of their hospitals. Sabrina Granese, BSN, RN, Military Service Line Director at ASH explains, “Patients that are active duty or veterans are identified at the time of admission. When a veteran passes away, with the approval of a veteran’s family, ‘Code veteran’ will be heard over the hospital intercom. Staff members will have 5 minutes to make their way to the main hospital entrance for the Honor Walk.” Similarly, the skilled nursing facilities operated by Bethesda Health Group, St. Louis, Missouri, have implemented the Veteran Escort Ceremony. Employees, volunteers, family members, and residents line the hallways during the procession to salute and honor the passing of the veteran’s body.

Closure For Families

Simple yet magnificent, a Final Salute shows that a veteran is “gone but not forgotten” and also shows families they are not alone as they too made sacrifices to allow their loved ones to serve in the Armed Forces; it signals the hope of healing and closure.8 “The staff came to pay their respects,” recalled Cindy Roberts, a social worker at the VA Bay Pines, when her relative died at the Ozarks VAMC. She explained, I wasn’t expecting as much because it was 2 AM. I have never in my life had an experience like that. I wish there were words to describe it; I wish every VAMC in the country did that.”

Hope Danishanko, social worker at the VA Wilkes-Barre CLC, said veterans are appreciative of the program. “I have had many CLC residents tell me that the Honors Escort allows them to have closure. They also feel it provides respect to the veteran who has passed.”

Bettyanne Corkery noted that the Philadelphia CLC Honor Guard program is unique because it is veteran driven. “They have sessions in which they talk about what works and what doesn’t, and they recruit new volunteers themselves,” she said. “It has evolved into the most beautiful ceremony, and they are constantly tweaking it.” According to Gerry Donlon, “When you see all 8 members of the Honor Guard get a call at 2 AM, and everyone shows up, you know there’s personal satisfaction. I’d like to see every CLC [throughout VA] do this. I really would.”7

“Family members tell us they feel blessed and honored to be a part of the program. They are so grateful for the way we pay tribute to their veteran loved one,” says Leslie Schaeffer, support services manager and bereavement coordinator and coordinator of the Veteran Escort Ceremony at Bethesda Health Group communities.

Privileged and humbled—that is how staff and family members describe feeling after participating in a Final Salute. Its impact on the families has been amazing. Between the tears, there are thanks for the recognition of the sacrifices their loved ones made. When one family was informed of the ceremony by Reverend Tricia Lytle, Manager of Spiritual Care at AnMed Health, the “whole family responded by explaining how much that meant at such a difficult time. They began sharing stories about his service and how proud he was to be a veteran,” she reported. “As I [Rev. Lytle] leaned over to present the flag at the bedside, the wife reached up and took hold as she tearfully accepted it and embraced it close to her heart. The staff in the hallway looked on respectfully also in tears.”

Conclusions

The Final Salute is a brief ceremonial procession demonstrating that the mission to care for America’s veterans does not end at the bedside. It ensures that no veteran’s body is alone when led out of the health facility room to the exit. With these Final Salute practices, I hope that the rest of VA and community health facilities caring for veterans will implement a Final Salute program to better honor veterans who depart in their care.

Acknowledgments
The author would like to express gratitude to everyone who so openly shared their stories—your insight, advice, and encouragement are inspiring and invaluable. Thank you to all the facilities that consented to be featured in this article.

It is a great honor and privilege to care for the men and women who have bravely served our country, and to give a hero’s Final Salute in recognition of the veteran’s service and sacrifices. US Department of Veterans Affairs (VA) and other non-VA health care facilities caring for veterans find meaning and take pride in providing a Final Salute to veterans who spend their last days of life at their facilities. The Final Salute aligns with the mission of the VA: To fulfill President Lincoln’s promise “To care for him who shall have borne the battle, and for his widow, and his orphan” by serving and honoring the people who are America’s veterans.1 As health care professionals, we feel and grieve the loss when a veteran dies within our facilities. While some VA and community health care facilities honor veterans at the time of death, others have yet to implement a Final Salute program.2 How can we ensure that veterans at the time of death receive a hero’s Final Salute?

There are 26 million veterans alive today, representing about 8% of the total US adult population.3 Yet more than 1800 veterans die every day, representing about a quarter of all US deaths.4,5 Most veterans die in the community; only 4% of veteran deaths occur in VA facilities.5,6 This article highlights the unique tradition that a few VA and community health care facilities have launched to honor veterans whose journeys end under their care. This article also is a call to action to raise awareness of the importance of instituting the Final Salute program that is part of the end-of-life protocol for veterans.

A Final Salute ceremony (also called Honors Escort or Honor Walk) takes place when a veteran who dies in the hospital or nursing home is transported on the gurney from the location of their passing to the funeral home vehicle or the morgue. Staff, family members, visitors, and other veterans silently line the hallways from the veteran’s room to the health care facility exit and pay their respects to the deceased veteran. A Final Salute is a quiet, yet profound and powerful way for care teams to ensure that the deceased veteran does not leave alone.

VA-Based Ceremonies

There are many acts of remembrance at the bedside from the time of death to the time when the veteran’s body approaches the funeral home vehicle or the doors of the morgue. Tonya Ross, social worker and Honors Escort program manager at the Robert J. Dole VA Medical Center (VAMC) in Wichita, Kansas, reported that following the death of a veteran, there is a bedside remembrance that begins with a flag ceremony. Afterward, the veteran’s gurney is draped with the American flag, and as the procession moves through the medical center, the veterans salute, and all others place their hands over their hearts

Chaplain Michael Halyard at the Ozarks VAMC in Fayetteville, Arkansas, reported that following the death of a veteran, the chaplain greets family members with condolences and allows them to grieve and reflect on their life with the deceased veteran. On arrival of the funeral home team, an announcement for an Honor Walk is made. Staff, visitors, and family are lined up on the first floor of the hospital waiting to pay their final respects to the veteran. A slow processional of the veteran covered by a handmade quilt is escorted by a VA police officer and the chaplain. The processional stops in the middle and the chaplain announces, “Let us pause for a moment of silence as we honor one of our own US Army veterans who has completed the journey of life.”

The Final Salute at the VA Wilkes-Barre Community Living Center (CLC) in Pennsylvania begins with a bedside flag ceremony. Afterward, the veteran’s gurney is draped with the flag, and as the procession moves through the CLC, all who are standing along the route offer their respects. Throughout the ceremony, a team member remains with the family of the deceased, providing comfort and support. Once the ceremony is completed, the team member remains with the family to ensure all issues are addressed and all questions or concerns are answered.

Residents of the Philadelphia VAMC CLC in Pennsylvania have found a way to say a last goodbye to fellow veterans in a unique and dignified manner. Bettyanne Corkery, nurse manager for the Heroes’ Crossing hospice and palliative care unit explains, “Our Honor Guard evolved from our residents’ requests. We used to drape a flag over the body of veterans leaving us for the last time, but our residents came to us and said they wanted to do more.” CLC residents wanted to form an Honor Guard and say goodbye with dignity and grace. Gerry Donlon, a US Army Vietnam veteran and president of the residents council and chief program coordinator, explained that Honor Guard members are called to the deceased’s room and stand guard until the hearse comes. Donlon adds, “We proceed forward, along with the family, and the speaker system for the hospital plays patriotic songs, including Taps. When we get to the lobby, we stop, and I say a prayer. We fold the flag military style and hand it over to the family members, we render a Final Salute, and then the veteran is taken to the hearse.”7

 

 

Community Cermeonies

Texas Health Arlington Memorial Hospital (THAM) has honored 531 veterans with Final Salutes since 2015. Before the official procession begins, designated employees drape the patient’s body with the flag. Physicians, nurses, and volunteers escort the body in a silent procession along with the family. On leaving, the veteran’s family receives the flag in honor of their loved one. A specially designed medallion has been placed in the lobby floor at the location where the Final Salute is rendered. Christi Evans, RN, BSN, ACM, manager for care
coordination at AnMed Health, Anderson, South Carolina, witnessed a Final Salute at THAM for a relative and took the idea to Mike Johnston, Director of Spiritual Care to establish the program at AnMed Health, which has provided 118 Final Salutes since 2018.

Central Maine Healthcare (CMH), which operates 3 hospitals, provides 2 ceremonies. The Final Salute occurs prior to the veteran’s passing and the Honor Walk gathers hospital personnel outside the patient’s room as they are moved. During the Final Salute, with the approval of a veteran’s family, a veteran employed by CMF presents the veteran with a folded flag and certificate and thanks them for their service and hospital employee salute. After the veteran dies, staff members gather in the hallway for the Honor Walk. Ascension Sacred Heart (ASH), Florida, where on average 260 veterans look for treatment every month, has taken the Final Salute to all 4 of their hospitals. Sabrina Granese, BSN, RN, Military Service Line Director at ASH explains, “Patients that are active duty or veterans are identified at the time of admission. When a veteran passes away, with the approval of a veteran’s family, ‘Code veteran’ will be heard over the hospital intercom. Staff members will have 5 minutes to make their way to the main hospital entrance for the Honor Walk.” Similarly, the skilled nursing facilities operated by Bethesda Health Group, St. Louis, Missouri, have implemented the Veteran Escort Ceremony. Employees, volunteers, family members, and residents line the hallways during the procession to salute and honor the passing of the veteran’s body.

Closure For Families

Simple yet magnificent, a Final Salute shows that a veteran is “gone but not forgotten” and also shows families they are not alone as they too made sacrifices to allow their loved ones to serve in the Armed Forces; it signals the hope of healing and closure.8 “The staff came to pay their respects,” recalled Cindy Roberts, a social worker at the VA Bay Pines, when her relative died at the Ozarks VAMC. She explained, I wasn’t expecting as much because it was 2 AM. I have never in my life had an experience like that. I wish there were words to describe it; I wish every VAMC in the country did that.”

Hope Danishanko, social worker at the VA Wilkes-Barre CLC, said veterans are appreciative of the program. “I have had many CLC residents tell me that the Honors Escort allows them to have closure. They also feel it provides respect to the veteran who has passed.”

Bettyanne Corkery noted that the Philadelphia CLC Honor Guard program is unique because it is veteran driven. “They have sessions in which they talk about what works and what doesn’t, and they recruit new volunteers themselves,” she said. “It has evolved into the most beautiful ceremony, and they are constantly tweaking it.” According to Gerry Donlon, “When you see all 8 members of the Honor Guard get a call at 2 AM, and everyone shows up, you know there’s personal satisfaction. I’d like to see every CLC [throughout VA] do this. I really would.”7

“Family members tell us they feel blessed and honored to be a part of the program. They are so grateful for the way we pay tribute to their veteran loved one,” says Leslie Schaeffer, support services manager and bereavement coordinator and coordinator of the Veteran Escort Ceremony at Bethesda Health Group communities.

Privileged and humbled—that is how staff and family members describe feeling after participating in a Final Salute. Its impact on the families has been amazing. Between the tears, there are thanks for the recognition of the sacrifices their loved ones made. When one family was informed of the ceremony by Reverend Tricia Lytle, Manager of Spiritual Care at AnMed Health, the “whole family responded by explaining how much that meant at such a difficult time. They began sharing stories about his service and how proud he was to be a veteran,” she reported. “As I [Rev. Lytle] leaned over to present the flag at the bedside, the wife reached up and took hold as she tearfully accepted it and embraced it close to her heart. The staff in the hallway looked on respectfully also in tears.”

Conclusions

The Final Salute is a brief ceremonial procession demonstrating that the mission to care for America’s veterans does not end at the bedside. It ensures that no veteran’s body is alone when led out of the health facility room to the exit. With these Final Salute practices, I hope that the rest of VA and community health facilities caring for veterans will implement a Final Salute program to better honor veterans who depart in their care.

Acknowledgments
The author would like to express gratitude to everyone who so openly shared their stories—your insight, advice, and encouragement are inspiring and invaluable. Thank you to all the facilities that consented to be featured in this article.

References

1. US Department of Veteran Affairs. About VA: mission, vision, core values & goals. Updated September 30, 2021. Accessed September 30, 2021. https://www.va.gov /about_va/mission.asp

2. Kuznik R. Hospital program presentation, 2021 national convention. Accessed September 30, 2021. https:// vfwauxiliary.org/wp-content/uploads/2021.2022-National -Hospital-Ambassador-Presentation-Notes.pdf

3. US Department of Veteran Affairs, National Center for Veterans Analysis and Statistics. Veteran population projections 2017-2037. Published 2016. Accessed September 30, 2021. https://www.va.gov/vetdata/docs /Demographics/New_Vetpop_Model/Vetpop_Infographic _Final31.pdf

4. Calkins H. Psychologists, veterans and end-of-life care. Good Practice. Winter 2018. Accessed September 30, 2021. https://www.apaservices.org/practice/good -practice/veterans-end-of-life.pdf

5. US Department of Veterans Affairs, National Center for Veterans Analysis and Statistics. Accessed September 30, 2021. http://www.va.gov/vetdata

6. Grassman D. Veterans: an underserved population. Published 2007. Accessed September 30, 2021. https:// www.wehonorveterans.org/wp-content/uploads/2020/02 /WHVP_Toolkit.pdf

7. US Department of Veterans Affairs, VA Healthcare-VISN 4. An honorable procession: Philadelphia’s Honor Guard provides veterans a dignified farewell. 2015. Updated December 15, 2015. Accessed Semptember 30, 2021. https://www.visn4.va.gov/VISN4/news/vision/issue21 /honors-escort.asp

8. Nathan S, Dunn KM. Gone but not forgotten: how VA remembers. Federal Practitioner. 2019;36(6):254-256.

References

1. US Department of Veteran Affairs. About VA: mission, vision, core values & goals. Updated September 30, 2021. Accessed September 30, 2021. https://www.va.gov /about_va/mission.asp

2. Kuznik R. Hospital program presentation, 2021 national convention. Accessed September 30, 2021. https:// vfwauxiliary.org/wp-content/uploads/2021.2022-National -Hospital-Ambassador-Presentation-Notes.pdf

3. US Department of Veteran Affairs, National Center for Veterans Analysis and Statistics. Veteran population projections 2017-2037. Published 2016. Accessed September 30, 2021. https://www.va.gov/vetdata/docs /Demographics/New_Vetpop_Model/Vetpop_Infographic _Final31.pdf

4. Calkins H. Psychologists, veterans and end-of-life care. Good Practice. Winter 2018. Accessed September 30, 2021. https://www.apaservices.org/practice/good -practice/veterans-end-of-life.pdf

5. US Department of Veterans Affairs, National Center for Veterans Analysis and Statistics. Accessed September 30, 2021. http://www.va.gov/vetdata

6. Grassman D. Veterans: an underserved population. Published 2007. Accessed September 30, 2021. https:// www.wehonorveterans.org/wp-content/uploads/2020/02 /WHVP_Toolkit.pdf

7. US Department of Veterans Affairs, VA Healthcare-VISN 4. An honorable procession: Philadelphia’s Honor Guard provides veterans a dignified farewell. 2015. Updated December 15, 2015. Accessed Semptember 30, 2021. https://www.visn4.va.gov/VISN4/news/vision/issue21 /honors-escort.asp

8. Nathan S, Dunn KM. Gone but not forgotten: how VA remembers. Federal Practitioner. 2019;36(6):254-256.

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“Provider” Etymology is Unclear, but Still Wrong for Health Care

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I am grateful for the opportunity to clarify and correct my recent commentary.1 I wrote that the word provider was first used to refer to health care professionals during the 1930s in Nazi Germany, when Jewish physicians were termed Behandler. The cited manuscript stated that Behandler was “freely translated” as “provider.”2 However, after reading social media comments that claimed this was a mistranslation, I sought to verify the translation.

Online German-English dictionaries yielded perplexing results. The dictionary Reverso translates Behandler as “dentist,” “practitioner,” or “therapist.”3 The Past Tenses Dictionary translates Behandler as “handlers.”4 Although a distasteful way to refer to a clinician-patient relationship, it still doesn’t translate as “provider.” The Collins and Cambridge dictionaries do not include Behandler, and the Langenscheidt dictionary does not provide a translation, instead noting that the translation “is missing” and that they are “verifying the word in question.”5-7 Conversely, Anbieter appears to be the commonly provided German translation for provider.

The author of the original manuscript acknowledged that although Behandler is not listed as a translation for provider, it “comes close.”2 He added that Behandler is not used anymore in German medicine because of the Nazi past (Saenger P, personal communication, February 9, 2022). A native German and Professor of German Studies at the University of Kentucky shared that “My best guess is that the term Behandler was used as a short form of Krankenbehandler, the designation for Jewish doctors in Nazi Germany who were still allowed to treat Jewish patients after withdrawal of their medical license. The best translations would be (health) practitioner or health care provider.” (Hobusch H, personal communication, 2022). However, Krankenbehandler has also been translated as “practitioner of the sick.”8

Given this ambiguity, it is ultimately unclear whether or to what extent Behandler can be translated as provider. Despite this uncertainty, my original argument remains unchanged. It is best to refer to all health care professionals (eg, psychotherapists, physicians, nurses, phlebotomists, pharmacists, physician assistants, social workers, physical therapists, dentists, optometrists) by their credentials. Overarching terms such as clinicians, practitioners, or health care professionals also are reasonable. This ensures accurate terminology, respects individuals’ unique training and degrees, and avoids confusion within multidisciplinary health care settings.

I thank Paul Saenger, MD, and Harald Höbusch, PhD, for their helpful insights, and those individuals who raised this concern on social media.

Correction: Scarff JR. What’s in a name? The problematic term “provider”. Fed Pract. 2021;38(10):446- 448. The translation of the German word Behandler is unclear; therefore, the word “provider” should not be directly associated with the Nazi regime and its treatment of Jewish physicians.
References

1. Scarff JR. What’s in a name? The problematic term “provider”. Fed Pract. 2021;38(10):446-448. doi:10.12788/fp.0188

2. Saenger P. Jewish pediatricians in Nazi Germany: victims of persecution. Isr Med Assoc J. 2006;8(5):324-328.

3. Reverso German-English Dictionary. Behandler. Accessed March 16, 2022. https://dictionary.reverso.net/german-english /behandler/forced

4. Past Tenses. Translate behandler in English. Accessed March 4, 2022. https://pasttenses.com/behandler-german-english

5. Collins Reverso German-English Dictionary. Behandler. Accessed March 16, 2022. https://www.collinsdictionary.com /dictionary/german-english/behandeln

6. Cambridge Dictionary, German-–English Dictionary. Behandler. Accessed March 16, 2022. https://dictionary.cambridge.org /spellcheck/german-english/?q=behandler

7. Langenscheidt Dictionary, German-English. Behandler. Accessed March 4, 2022. https://en.langenscheidt .com/german-english/search?term=behandler&q _cat=%2Fgerman-english%2F

8. Von Villiez A [trans, Kummer I]. The disenfranchisement of Jewish physicians in Hamburg during National Socialism. In: Institut fur die Geschichte der Deutschen Juden [Institute for the history of German Jews]. Key Documents of German-Jewish History. Updated September 16, 2016. Accessed March 16, 2022. doi: 10.23691/jgo:article-156.en.v1

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Lexington Veterans Affairs Health Care System, Kentucky

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Lexington Veterans Affairs Health Care System, Kentucky

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I am grateful for the opportunity to clarify and correct my recent commentary.1 I wrote that the word provider was first used to refer to health care professionals during the 1930s in Nazi Germany, when Jewish physicians were termed Behandler. The cited manuscript stated that Behandler was “freely translated” as “provider.”2 However, after reading social media comments that claimed this was a mistranslation, I sought to verify the translation.

Online German-English dictionaries yielded perplexing results. The dictionary Reverso translates Behandler as “dentist,” “practitioner,” or “therapist.”3 The Past Tenses Dictionary translates Behandler as “handlers.”4 Although a distasteful way to refer to a clinician-patient relationship, it still doesn’t translate as “provider.” The Collins and Cambridge dictionaries do not include Behandler, and the Langenscheidt dictionary does not provide a translation, instead noting that the translation “is missing” and that they are “verifying the word in question.”5-7 Conversely, Anbieter appears to be the commonly provided German translation for provider.

The author of the original manuscript acknowledged that although Behandler is not listed as a translation for provider, it “comes close.”2 He added that Behandler is not used anymore in German medicine because of the Nazi past (Saenger P, personal communication, February 9, 2022). A native German and Professor of German Studies at the University of Kentucky shared that “My best guess is that the term Behandler was used as a short form of Krankenbehandler, the designation for Jewish doctors in Nazi Germany who were still allowed to treat Jewish patients after withdrawal of their medical license. The best translations would be (health) practitioner or health care provider.” (Hobusch H, personal communication, 2022). However, Krankenbehandler has also been translated as “practitioner of the sick.”8

Given this ambiguity, it is ultimately unclear whether or to what extent Behandler can be translated as provider. Despite this uncertainty, my original argument remains unchanged. It is best to refer to all health care professionals (eg, psychotherapists, physicians, nurses, phlebotomists, pharmacists, physician assistants, social workers, physical therapists, dentists, optometrists) by their credentials. Overarching terms such as clinicians, practitioners, or health care professionals also are reasonable. This ensures accurate terminology, respects individuals’ unique training and degrees, and avoids confusion within multidisciplinary health care settings.

I thank Paul Saenger, MD, and Harald Höbusch, PhD, for their helpful insights, and those individuals who raised this concern on social media.

Correction: Scarff JR. What’s in a name? The problematic term “provider”. Fed Pract. 2021;38(10):446- 448. The translation of the German word Behandler is unclear; therefore, the word “provider” should not be directly associated with the Nazi regime and its treatment of Jewish physicians.

I am grateful for the opportunity to clarify and correct my recent commentary.1 I wrote that the word provider was first used to refer to health care professionals during the 1930s in Nazi Germany, when Jewish physicians were termed Behandler. The cited manuscript stated that Behandler was “freely translated” as “provider.”2 However, after reading social media comments that claimed this was a mistranslation, I sought to verify the translation.

Online German-English dictionaries yielded perplexing results. The dictionary Reverso translates Behandler as “dentist,” “practitioner,” or “therapist.”3 The Past Tenses Dictionary translates Behandler as “handlers.”4 Although a distasteful way to refer to a clinician-patient relationship, it still doesn’t translate as “provider.” The Collins and Cambridge dictionaries do not include Behandler, and the Langenscheidt dictionary does not provide a translation, instead noting that the translation “is missing” and that they are “verifying the word in question.”5-7 Conversely, Anbieter appears to be the commonly provided German translation for provider.

The author of the original manuscript acknowledged that although Behandler is not listed as a translation for provider, it “comes close.”2 He added that Behandler is not used anymore in German medicine because of the Nazi past (Saenger P, personal communication, February 9, 2022). A native German and Professor of German Studies at the University of Kentucky shared that “My best guess is that the term Behandler was used as a short form of Krankenbehandler, the designation for Jewish doctors in Nazi Germany who were still allowed to treat Jewish patients after withdrawal of their medical license. The best translations would be (health) practitioner or health care provider.” (Hobusch H, personal communication, 2022). However, Krankenbehandler has also been translated as “practitioner of the sick.”8

Given this ambiguity, it is ultimately unclear whether or to what extent Behandler can be translated as provider. Despite this uncertainty, my original argument remains unchanged. It is best to refer to all health care professionals (eg, psychotherapists, physicians, nurses, phlebotomists, pharmacists, physician assistants, social workers, physical therapists, dentists, optometrists) by their credentials. Overarching terms such as clinicians, practitioners, or health care professionals also are reasonable. This ensures accurate terminology, respects individuals’ unique training and degrees, and avoids confusion within multidisciplinary health care settings.

I thank Paul Saenger, MD, and Harald Höbusch, PhD, for their helpful insights, and those individuals who raised this concern on social media.

Correction: Scarff JR. What’s in a name? The problematic term “provider”. Fed Pract. 2021;38(10):446- 448. The translation of the German word Behandler is unclear; therefore, the word “provider” should not be directly associated with the Nazi regime and its treatment of Jewish physicians.
References

1. Scarff JR. What’s in a name? The problematic term “provider”. Fed Pract. 2021;38(10):446-448. doi:10.12788/fp.0188

2. Saenger P. Jewish pediatricians in Nazi Germany: victims of persecution. Isr Med Assoc J. 2006;8(5):324-328.

3. Reverso German-English Dictionary. Behandler. Accessed March 16, 2022. https://dictionary.reverso.net/german-english /behandler/forced

4. Past Tenses. Translate behandler in English. Accessed March 4, 2022. https://pasttenses.com/behandler-german-english

5. Collins Reverso German-English Dictionary. Behandler. Accessed March 16, 2022. https://www.collinsdictionary.com /dictionary/german-english/behandeln

6. Cambridge Dictionary, German-–English Dictionary. Behandler. Accessed March 16, 2022. https://dictionary.cambridge.org /spellcheck/german-english/?q=behandler

7. Langenscheidt Dictionary, German-English. Behandler. Accessed March 4, 2022. https://en.langenscheidt .com/german-english/search?term=behandler&q _cat=%2Fgerman-english%2F

8. Von Villiez A [trans, Kummer I]. The disenfranchisement of Jewish physicians in Hamburg during National Socialism. In: Institut fur die Geschichte der Deutschen Juden [Institute for the history of German Jews]. Key Documents of German-Jewish History. Updated September 16, 2016. Accessed March 16, 2022. doi: 10.23691/jgo:article-156.en.v1

References

1. Scarff JR. What’s in a name? The problematic term “provider”. Fed Pract. 2021;38(10):446-448. doi:10.12788/fp.0188

2. Saenger P. Jewish pediatricians in Nazi Germany: victims of persecution. Isr Med Assoc J. 2006;8(5):324-328.

3. Reverso German-English Dictionary. Behandler. Accessed March 16, 2022. https://dictionary.reverso.net/german-english /behandler/forced

4. Past Tenses. Translate behandler in English. Accessed March 4, 2022. https://pasttenses.com/behandler-german-english

5. Collins Reverso German-English Dictionary. Behandler. Accessed March 16, 2022. https://www.collinsdictionary.com /dictionary/german-english/behandeln

6. Cambridge Dictionary, German-–English Dictionary. Behandler. Accessed March 16, 2022. https://dictionary.cambridge.org /spellcheck/german-english/?q=behandler

7. Langenscheidt Dictionary, German-English. Behandler. Accessed March 4, 2022. https://en.langenscheidt .com/german-english/search?term=behandler&q _cat=%2Fgerman-english%2F

8. Von Villiez A [trans, Kummer I]. The disenfranchisement of Jewish physicians in Hamburg during National Socialism. In: Institut fur die Geschichte der Deutschen Juden [Institute for the history of German Jews]. Key Documents of German-Jewish History. Updated September 16, 2016. Accessed March 16, 2022. doi: 10.23691/jgo:article-156.en.v1

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Endometriosis: Clinical Diagnosis and Empiric Treatment

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Endometriosis: Clinical Diagnosis and Empiric Treatment

What is your technique for recognizing the clinical features of endometriosis?

 

Dr. Taylor: Endometriosis is a very common disease. Unfortunately, it's still widely under-recognized. It's estimated that perhaps up to 10% of reproductive age women have endometriosis, yet many are never diagnosed or diagnosed late. The average time that it takes for someone to be diagnosed is about 10 years; that is from the time they have classic symptoms of endometriosis until the time they get a definitive diagnosis and treatment.

I think it's very important that we recognize the clinical features of endometriosis. It's absolutely crucial if we want to shorten the time tom diagnosis. Often patients see multiple physicians before they get an accurate diagnosis. They're often dismissed by their early caregivers who are not very familiar with the disease.

For me, the most important feature is the pelvic pain. To identify endometriosis, I look specifically at the cyclic nature of the pelvic pain, and the progressive nature of the pelvic pain. Endometriosis is by far the most common reason that women have pelvic pain and initially it tends to be cyclic. It often starts as dysmenorrhea (painful periods), however it can progress to the point where pain occurs at times outside of menses. In fact, it can progress to the point where it's painful all the time. However, it almost always starts as dysmennorhea, and progresses.

Pelvic pain that someone had from their first menses on, i.e., from menarche, is less likely to be endometriosis than the pain that progresses and becomes worse or spreads to other times of the menstrual cycle. Endometriosis is a progressive disease, and that's one of the key distinctions in making me think somebody has endometriosis.

Most women with cyclic pelvic pain that gets worse over time, cyclic progressive pelvic pain, will have endometriosis. Those are the key features I look for.

It is also very important to recognize that endometriosis can have effects outside of the reproductive tract, can cause systemic inflammation, and impact other organ systems.  Bowel and bladder dysfunction are very common. If that is cyclic and coincides with the pelvic pain, it’s very likely to be secondary to endometriosis. It's important not to get distracted or mislead into making other diagnoses.

What are some of the common symptoms and how does that impact your diagnosis evaluation?

Dr. Taylor: The most common symptom we see is that cyclic pelvic pain I just discussed. Pain, often starting as dysmenorrhea, can go on to include pain outside of the time of menses and become more than just dysmenorrhea- pain in other areas.  The other common symptom is infertility. Many women with endometriosis do not have severe pain or may not have pain at all, but first present when they have trouble conceiving.

Endometriosis may be the cause of infertility. Sometimes we recognize that it's endometriosis when we do a physical exam or an ultrasound and find an endometrioma.  Cyclic pelvic pain is the classic symptom we look for, and infertility is another key symptom that we shouldn't forget.

Can you talk a little bit about empiric treatment, primarily what that means and how prevalent it is in your current practice?

Dr. Taylor: I think one of the problems we have today with the treatment of endometriosis is that it doesn't get recognized and doesn't get treated right away. When we talk about emperic treatment, it's usually ruling out other potential etiologies of pain. We must ensure no one has  have an infection, a tumor or other etiologies that are the cause of the pain, and not simply  presume that any cyclic progressive pelvic pain is endometriosis – however most of the time it will be due to endometriosis.

Usually with a good history, physical exam, and sometimes with addition of a transvaginal ultrasound, you can rule out other etiologies of pain, and have a very good idea that this pain is related to endometriosis. Based on clinical presentation, and without needing surgery, we can make a clinical diagnosis of endometriosis.

Clinical diagnosis allows patients to have this disease recognized earlier. It allows them to get into treatment sooner and reverses this trend that we've seen of delayed recognition.  This delay is especially difficult in  younger women in formative years in their life, when they're in school, when they're in an early stage of their career. If they're held back because of this debilitating pain, these are critical times and opportunities they really can't completely make up.

It's very important that we recognize endometriosis early. If we require a laparoscopy to make the diagnosis, the threshold becomes very high and we don't make the diagnosis. We miss a lot of women with endometriosis and don't treat them early.

There was time when our medical options were limited, and we wanted to be sure of our diagnosis. But these days, I think we can make a clinical diagnosis knowing that we have several treatment options that are relatively easy and safe for patients. Our first line therapy-- the first thing I use when I make the clinical diagnosis of endometriosis-- the first emperic treatment I would use is an oral contraceptive.

I prefer giving the oral contraceptive in a continuous fashion, rather than in a cyclic fashion. If someone has dysmenorrhea, why have menses at all? Retrograde menstruation is the etiology of most endometriosis. If we can eliminate menstruation, potentially it may be reducing endometriosis in the long run.

A lot of women with endometriosis will not respond to progestins—a phenomenon called progestin resistance—therefore, not everyone who has endometriosis will respond to an oral contraceptive. Probably about a third of patients either will not initially respond or will develop a resistance to a progestin and fail to respond in the long-term. Still others have side effects due to progestin therapy-- breast tenderness, mood changes, or a feeling of bloating are very common progestin related side effects.

We now have agents like oral GnRH antagonists that we can use as a second line treatment for those that either don't respond to progestins or those who have side effects from a progestin, including a progestin based oral contraceptive.  Additionally, in those with severe pain you may want to use something a little more aggressive.

GnRH antagonists are easy to use oral medications, with an immediate onset of action and are easily reversed.   We have come a long way from when we had to use an injectable GnRH agonist as the second line therapy. We have much simpler, easy, second line medications that we can turn to that makes empiric treatment a lot easier.

In the past, when we made a surgical diagnosis it was often because we were afraid of committing them to a long course of Depo GnRH agonist treatment;  we didn't use a lot of add back therapy and they had tremendous side effects and the risk of bone loss. Patients and their physicians were reluctant to use GnRH agonists.

Things have gotten a lot easier with oral contraceptives, that can be followed by GnRH antagonists, which are easy to use, simple medications that are very patient-friendly. I think we can make that clinical diagnosis. We can move to an empiric treatment, either first or second line with an oral contraceptive or a GnRH antagonist and easily treat these women without significant side effects. It is important that we advocate for women with cyclic pain, and recognize it more readily, clinically diagnosed it, and begin that empiric treatment.  That paradigm really has a huge impact on women's lives.

What recent advancements have been made in diagnosing and treating endometriosis?

Dr. Taylor: I think one of the biggest things that I see improving is recognition. Hopefully, we're narrowing that long delay by closing that time gap from initial symptoms to recognition. As we see public awareness grow, patients are recognizing and looking for answers, and thinking to themselves that they may have endometriosis.

Years ago, people were embarrassed to talk about menstruation, painful menstruation, pain with intercourse, pain with bowel movements. Thankfully, we're a more open society now and we can talk about these things. Women are starting to realize that they may have a problem where it was just dismissed before or perhaps, they were embarrassed to talk about it. I think we have seen a huge advancement. Physicians, as well, are recognizing endometriosis even more than before.

I think we're also much more accepting of this clinical diagnosis paradigm and empiric treatment. A lot of that, as we just said, comes from having better, easier to use drugs available that are much more patient-friendly. The GnRH antagonist elagolix is currently available for treatment of endometriosis in the United States. There are two more GnRH antagonists in the pipeline-- relugolix, which we expect to be approved shortly, and linzagolix which is undergoing phase three clinical trials now. Hopefully, we will have several of these second line drugs,  drugs which we can even use first line for severe endometriosis. Their availability is another huge advance.

I also think it is essential, that we don't put someone through surgery to recognize endometriosis. We must be better at taking a good history, doing an exam, and ultrasound when needed. You don't need a surgery to diagnose endometriosis. 

However,  we do still sometimes need surgery to treat endometriosis. Often, endometriosis will cause adhesions or scarring. These long-term sequelae of endometriosis can still require surgery. The medications we have available today are very good at stopping active disease. But the damage done from long-term endometriosis if we don’t treat may still require surgery. I'm hoping that the earlier we start treating people, the less damage will be done, and the less therapeutic surgeries needed. I think these changes are coming and are all very promising.

It would also be great if we had a non-invasive definitive diagnostic test. There are several of those under development, but nothing available yet. I suspect that we'll see those become available very shortly.

The other thing that we still need in the field is a treatment we can use for those women trying to get pregnant.  We use in vitro fertilization, which works very well in the endometriosis population. But a medical therapy that can suppress endometriosis and allow people to try to conceive without needing IVF is something I hope for in the future. A specific endometriosis therapy that is not hormonal, that targets the specific pathophysiology of endometriosis, is something that I'd like to see developed and many of us are currently working on.

I think there is a lot coming, but we've already moved the needle a long way. The GnRH antagonists have given us much more confidence in moving forward with clinical diagnosis and empiric treatment of this disease. It's a huge boon for women's health, allowing early recognition and preventing long-term complications of endometriosis.

Author and Disclosure Information

Hugh S. Taylor, M.D., is the Anita O’Keeffe Young Professor of Women’s Health and chair of the Department of Obstetrics, Gynecology and Reproductive Science, at the Yale School of Medicine in New Haven, Connecticut. He is also Professor of Molecular, Cellular and Developmental Biology at Yale University. He is a board-certified specialist in Obstetrics/Gynecology and in Reproductive Endocrinology.

His clinical research centers on implantation, endometriosis and menopause. His basic science research focuses on uterine development, the regulation of developmental gene expression by sex steroids, endocrine disruption and on stem cells.

Dr. Taylor has received numerous awards including the IVI Foundation International Award for the Best Research in Reproductive Medicine and the Society for Gynecologic Investigation Distinguished Scientist Award and is past president of the Society for Reproductive Investigation and immediate past president of the American Society for Reproductive Medicine.

Dr. Taylor has been Principal Investigator on 15 National Institutes of Health grants, and site PI or Co-Investigator on numerous additional NIH funded projects.

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Hugh S. Taylor, M.D., is the Anita O’Keeffe Young Professor of Women’s Health and chair of the Department of Obstetrics, Gynecology and Reproductive Science, at the Yale School of Medicine in New Haven, Connecticut. He is also Professor of Molecular, Cellular and Developmental Biology at Yale University. He is a board-certified specialist in Obstetrics/Gynecology and in Reproductive Endocrinology.

His clinical research centers on implantation, endometriosis and menopause. His basic science research focuses on uterine development, the regulation of developmental gene expression by sex steroids, endocrine disruption and on stem cells.

Dr. Taylor has received numerous awards including the IVI Foundation International Award for the Best Research in Reproductive Medicine and the Society for Gynecologic Investigation Distinguished Scientist Award and is past president of the Society for Reproductive Investigation and immediate past president of the American Society for Reproductive Medicine.

Dr. Taylor has been Principal Investigator on 15 National Institutes of Health grants, and site PI or Co-Investigator on numerous additional NIH funded projects.

Author and Disclosure Information

Hugh S. Taylor, M.D., is the Anita O’Keeffe Young Professor of Women’s Health and chair of the Department of Obstetrics, Gynecology and Reproductive Science, at the Yale School of Medicine in New Haven, Connecticut. He is also Professor of Molecular, Cellular and Developmental Biology at Yale University. He is a board-certified specialist in Obstetrics/Gynecology and in Reproductive Endocrinology.

His clinical research centers on implantation, endometriosis and menopause. His basic science research focuses on uterine development, the regulation of developmental gene expression by sex steroids, endocrine disruption and on stem cells.

Dr. Taylor has received numerous awards including the IVI Foundation International Award for the Best Research in Reproductive Medicine and the Society for Gynecologic Investigation Distinguished Scientist Award and is past president of the Society for Reproductive Investigation and immediate past president of the American Society for Reproductive Medicine.

Dr. Taylor has been Principal Investigator on 15 National Institutes of Health grants, and site PI or Co-Investigator on numerous additional NIH funded projects.

What is your technique for recognizing the clinical features of endometriosis?

 

Dr. Taylor: Endometriosis is a very common disease. Unfortunately, it's still widely under-recognized. It's estimated that perhaps up to 10% of reproductive age women have endometriosis, yet many are never diagnosed or diagnosed late. The average time that it takes for someone to be diagnosed is about 10 years; that is from the time they have classic symptoms of endometriosis until the time they get a definitive diagnosis and treatment.

I think it's very important that we recognize the clinical features of endometriosis. It's absolutely crucial if we want to shorten the time tom diagnosis. Often patients see multiple physicians before they get an accurate diagnosis. They're often dismissed by their early caregivers who are not very familiar with the disease.

For me, the most important feature is the pelvic pain. To identify endometriosis, I look specifically at the cyclic nature of the pelvic pain, and the progressive nature of the pelvic pain. Endometriosis is by far the most common reason that women have pelvic pain and initially it tends to be cyclic. It often starts as dysmenorrhea (painful periods), however it can progress to the point where pain occurs at times outside of menses. In fact, it can progress to the point where it's painful all the time. However, it almost always starts as dysmennorhea, and progresses.

Pelvic pain that someone had from their first menses on, i.e., from menarche, is less likely to be endometriosis than the pain that progresses and becomes worse or spreads to other times of the menstrual cycle. Endometriosis is a progressive disease, and that's one of the key distinctions in making me think somebody has endometriosis.

Most women with cyclic pelvic pain that gets worse over time, cyclic progressive pelvic pain, will have endometriosis. Those are the key features I look for.

It is also very important to recognize that endometriosis can have effects outside of the reproductive tract, can cause systemic inflammation, and impact other organ systems.  Bowel and bladder dysfunction are very common. If that is cyclic and coincides with the pelvic pain, it’s very likely to be secondary to endometriosis. It's important not to get distracted or mislead into making other diagnoses.

What are some of the common symptoms and how does that impact your diagnosis evaluation?

Dr. Taylor: The most common symptom we see is that cyclic pelvic pain I just discussed. Pain, often starting as dysmenorrhea, can go on to include pain outside of the time of menses and become more than just dysmenorrhea- pain in other areas.  The other common symptom is infertility. Many women with endometriosis do not have severe pain or may not have pain at all, but first present when they have trouble conceiving.

Endometriosis may be the cause of infertility. Sometimes we recognize that it's endometriosis when we do a physical exam or an ultrasound and find an endometrioma.  Cyclic pelvic pain is the classic symptom we look for, and infertility is another key symptom that we shouldn't forget.

Can you talk a little bit about empiric treatment, primarily what that means and how prevalent it is in your current practice?

Dr. Taylor: I think one of the problems we have today with the treatment of endometriosis is that it doesn't get recognized and doesn't get treated right away. When we talk about emperic treatment, it's usually ruling out other potential etiologies of pain. We must ensure no one has  have an infection, a tumor or other etiologies that are the cause of the pain, and not simply  presume that any cyclic progressive pelvic pain is endometriosis – however most of the time it will be due to endometriosis.

Usually with a good history, physical exam, and sometimes with addition of a transvaginal ultrasound, you can rule out other etiologies of pain, and have a very good idea that this pain is related to endometriosis. Based on clinical presentation, and without needing surgery, we can make a clinical diagnosis of endometriosis.

Clinical diagnosis allows patients to have this disease recognized earlier. It allows them to get into treatment sooner and reverses this trend that we've seen of delayed recognition.  This delay is especially difficult in  younger women in formative years in their life, when they're in school, when they're in an early stage of their career. If they're held back because of this debilitating pain, these are critical times and opportunities they really can't completely make up.

It's very important that we recognize endometriosis early. If we require a laparoscopy to make the diagnosis, the threshold becomes very high and we don't make the diagnosis. We miss a lot of women with endometriosis and don't treat them early.

There was time when our medical options were limited, and we wanted to be sure of our diagnosis. But these days, I think we can make a clinical diagnosis knowing that we have several treatment options that are relatively easy and safe for patients. Our first line therapy-- the first thing I use when I make the clinical diagnosis of endometriosis-- the first emperic treatment I would use is an oral contraceptive.

I prefer giving the oral contraceptive in a continuous fashion, rather than in a cyclic fashion. If someone has dysmenorrhea, why have menses at all? Retrograde menstruation is the etiology of most endometriosis. If we can eliminate menstruation, potentially it may be reducing endometriosis in the long run.

A lot of women with endometriosis will not respond to progestins—a phenomenon called progestin resistance—therefore, not everyone who has endometriosis will respond to an oral contraceptive. Probably about a third of patients either will not initially respond or will develop a resistance to a progestin and fail to respond in the long-term. Still others have side effects due to progestin therapy-- breast tenderness, mood changes, or a feeling of bloating are very common progestin related side effects.

We now have agents like oral GnRH antagonists that we can use as a second line treatment for those that either don't respond to progestins or those who have side effects from a progestin, including a progestin based oral contraceptive.  Additionally, in those with severe pain you may want to use something a little more aggressive.

GnRH antagonists are easy to use oral medications, with an immediate onset of action and are easily reversed.   We have come a long way from when we had to use an injectable GnRH agonist as the second line therapy. We have much simpler, easy, second line medications that we can turn to that makes empiric treatment a lot easier.

In the past, when we made a surgical diagnosis it was often because we were afraid of committing them to a long course of Depo GnRH agonist treatment;  we didn't use a lot of add back therapy and they had tremendous side effects and the risk of bone loss. Patients and their physicians were reluctant to use GnRH agonists.

Things have gotten a lot easier with oral contraceptives, that can be followed by GnRH antagonists, which are easy to use, simple medications that are very patient-friendly. I think we can make that clinical diagnosis. We can move to an empiric treatment, either first or second line with an oral contraceptive or a GnRH antagonist and easily treat these women without significant side effects. It is important that we advocate for women with cyclic pain, and recognize it more readily, clinically diagnosed it, and begin that empiric treatment.  That paradigm really has a huge impact on women's lives.

What recent advancements have been made in diagnosing and treating endometriosis?

Dr. Taylor: I think one of the biggest things that I see improving is recognition. Hopefully, we're narrowing that long delay by closing that time gap from initial symptoms to recognition. As we see public awareness grow, patients are recognizing and looking for answers, and thinking to themselves that they may have endometriosis.

Years ago, people were embarrassed to talk about menstruation, painful menstruation, pain with intercourse, pain with bowel movements. Thankfully, we're a more open society now and we can talk about these things. Women are starting to realize that they may have a problem where it was just dismissed before or perhaps, they were embarrassed to talk about it. I think we have seen a huge advancement. Physicians, as well, are recognizing endometriosis even more than before.

I think we're also much more accepting of this clinical diagnosis paradigm and empiric treatment. A lot of that, as we just said, comes from having better, easier to use drugs available that are much more patient-friendly. The GnRH antagonist elagolix is currently available for treatment of endometriosis in the United States. There are two more GnRH antagonists in the pipeline-- relugolix, which we expect to be approved shortly, and linzagolix which is undergoing phase three clinical trials now. Hopefully, we will have several of these second line drugs,  drugs which we can even use first line for severe endometriosis. Their availability is another huge advance.

I also think it is essential, that we don't put someone through surgery to recognize endometriosis. We must be better at taking a good history, doing an exam, and ultrasound when needed. You don't need a surgery to diagnose endometriosis. 

However,  we do still sometimes need surgery to treat endometriosis. Often, endometriosis will cause adhesions or scarring. These long-term sequelae of endometriosis can still require surgery. The medications we have available today are very good at stopping active disease. But the damage done from long-term endometriosis if we don’t treat may still require surgery. I'm hoping that the earlier we start treating people, the less damage will be done, and the less therapeutic surgeries needed. I think these changes are coming and are all very promising.

It would also be great if we had a non-invasive definitive diagnostic test. There are several of those under development, but nothing available yet. I suspect that we'll see those become available very shortly.

The other thing that we still need in the field is a treatment we can use for those women trying to get pregnant.  We use in vitro fertilization, which works very well in the endometriosis population. But a medical therapy that can suppress endometriosis and allow people to try to conceive without needing IVF is something I hope for in the future. A specific endometriosis therapy that is not hormonal, that targets the specific pathophysiology of endometriosis, is something that I'd like to see developed and many of us are currently working on.

I think there is a lot coming, but we've already moved the needle a long way. The GnRH antagonists have given us much more confidence in moving forward with clinical diagnosis and empiric treatment of this disease. It's a huge boon for women's health, allowing early recognition and preventing long-term complications of endometriosis.

What is your technique for recognizing the clinical features of endometriosis?

 

Dr. Taylor: Endometriosis is a very common disease. Unfortunately, it's still widely under-recognized. It's estimated that perhaps up to 10% of reproductive age women have endometriosis, yet many are never diagnosed or diagnosed late. The average time that it takes for someone to be diagnosed is about 10 years; that is from the time they have classic symptoms of endometriosis until the time they get a definitive diagnosis and treatment.

I think it's very important that we recognize the clinical features of endometriosis. It's absolutely crucial if we want to shorten the time tom diagnosis. Often patients see multiple physicians before they get an accurate diagnosis. They're often dismissed by their early caregivers who are not very familiar with the disease.

For me, the most important feature is the pelvic pain. To identify endometriosis, I look specifically at the cyclic nature of the pelvic pain, and the progressive nature of the pelvic pain. Endometriosis is by far the most common reason that women have pelvic pain and initially it tends to be cyclic. It often starts as dysmenorrhea (painful periods), however it can progress to the point where pain occurs at times outside of menses. In fact, it can progress to the point where it's painful all the time. However, it almost always starts as dysmennorhea, and progresses.

Pelvic pain that someone had from their first menses on, i.e., from menarche, is less likely to be endometriosis than the pain that progresses and becomes worse or spreads to other times of the menstrual cycle. Endometriosis is a progressive disease, and that's one of the key distinctions in making me think somebody has endometriosis.

Most women with cyclic pelvic pain that gets worse over time, cyclic progressive pelvic pain, will have endometriosis. Those are the key features I look for.

It is also very important to recognize that endometriosis can have effects outside of the reproductive tract, can cause systemic inflammation, and impact other organ systems.  Bowel and bladder dysfunction are very common. If that is cyclic and coincides with the pelvic pain, it’s very likely to be secondary to endometriosis. It's important not to get distracted or mislead into making other diagnoses.

What are some of the common symptoms and how does that impact your diagnosis evaluation?

Dr. Taylor: The most common symptom we see is that cyclic pelvic pain I just discussed. Pain, often starting as dysmenorrhea, can go on to include pain outside of the time of menses and become more than just dysmenorrhea- pain in other areas.  The other common symptom is infertility. Many women with endometriosis do not have severe pain or may not have pain at all, but first present when they have trouble conceiving.

Endometriosis may be the cause of infertility. Sometimes we recognize that it's endometriosis when we do a physical exam or an ultrasound and find an endometrioma.  Cyclic pelvic pain is the classic symptom we look for, and infertility is another key symptom that we shouldn't forget.

Can you talk a little bit about empiric treatment, primarily what that means and how prevalent it is in your current practice?

Dr. Taylor: I think one of the problems we have today with the treatment of endometriosis is that it doesn't get recognized and doesn't get treated right away. When we talk about emperic treatment, it's usually ruling out other potential etiologies of pain. We must ensure no one has  have an infection, a tumor or other etiologies that are the cause of the pain, and not simply  presume that any cyclic progressive pelvic pain is endometriosis – however most of the time it will be due to endometriosis.

Usually with a good history, physical exam, and sometimes with addition of a transvaginal ultrasound, you can rule out other etiologies of pain, and have a very good idea that this pain is related to endometriosis. Based on clinical presentation, and without needing surgery, we can make a clinical diagnosis of endometriosis.

Clinical diagnosis allows patients to have this disease recognized earlier. It allows them to get into treatment sooner and reverses this trend that we've seen of delayed recognition.  This delay is especially difficult in  younger women in formative years in their life, when they're in school, when they're in an early stage of their career. If they're held back because of this debilitating pain, these are critical times and opportunities they really can't completely make up.

It's very important that we recognize endometriosis early. If we require a laparoscopy to make the diagnosis, the threshold becomes very high and we don't make the diagnosis. We miss a lot of women with endometriosis and don't treat them early.

There was time when our medical options were limited, and we wanted to be sure of our diagnosis. But these days, I think we can make a clinical diagnosis knowing that we have several treatment options that are relatively easy and safe for patients. Our first line therapy-- the first thing I use when I make the clinical diagnosis of endometriosis-- the first emperic treatment I would use is an oral contraceptive.

I prefer giving the oral contraceptive in a continuous fashion, rather than in a cyclic fashion. If someone has dysmenorrhea, why have menses at all? Retrograde menstruation is the etiology of most endometriosis. If we can eliminate menstruation, potentially it may be reducing endometriosis in the long run.

A lot of women with endometriosis will not respond to progestins—a phenomenon called progestin resistance—therefore, not everyone who has endometriosis will respond to an oral contraceptive. Probably about a third of patients either will not initially respond or will develop a resistance to a progestin and fail to respond in the long-term. Still others have side effects due to progestin therapy-- breast tenderness, mood changes, or a feeling of bloating are very common progestin related side effects.

We now have agents like oral GnRH antagonists that we can use as a second line treatment for those that either don't respond to progestins or those who have side effects from a progestin, including a progestin based oral contraceptive.  Additionally, in those with severe pain you may want to use something a little more aggressive.

GnRH antagonists are easy to use oral medications, with an immediate onset of action and are easily reversed.   We have come a long way from when we had to use an injectable GnRH agonist as the second line therapy. We have much simpler, easy, second line medications that we can turn to that makes empiric treatment a lot easier.

In the past, when we made a surgical diagnosis it was often because we were afraid of committing them to a long course of Depo GnRH agonist treatment;  we didn't use a lot of add back therapy and they had tremendous side effects and the risk of bone loss. Patients and their physicians were reluctant to use GnRH agonists.

Things have gotten a lot easier with oral contraceptives, that can be followed by GnRH antagonists, which are easy to use, simple medications that are very patient-friendly. I think we can make that clinical diagnosis. We can move to an empiric treatment, either first or second line with an oral contraceptive or a GnRH antagonist and easily treat these women without significant side effects. It is important that we advocate for women with cyclic pain, and recognize it more readily, clinically diagnosed it, and begin that empiric treatment.  That paradigm really has a huge impact on women's lives.

What recent advancements have been made in diagnosing and treating endometriosis?

Dr. Taylor: I think one of the biggest things that I see improving is recognition. Hopefully, we're narrowing that long delay by closing that time gap from initial symptoms to recognition. As we see public awareness grow, patients are recognizing and looking for answers, and thinking to themselves that they may have endometriosis.

Years ago, people were embarrassed to talk about menstruation, painful menstruation, pain with intercourse, pain with bowel movements. Thankfully, we're a more open society now and we can talk about these things. Women are starting to realize that they may have a problem where it was just dismissed before or perhaps, they were embarrassed to talk about it. I think we have seen a huge advancement. Physicians, as well, are recognizing endometriosis even more than before.

I think we're also much more accepting of this clinical diagnosis paradigm and empiric treatment. A lot of that, as we just said, comes from having better, easier to use drugs available that are much more patient-friendly. The GnRH antagonist elagolix is currently available for treatment of endometriosis in the United States. There are two more GnRH antagonists in the pipeline-- relugolix, which we expect to be approved shortly, and linzagolix which is undergoing phase three clinical trials now. Hopefully, we will have several of these second line drugs,  drugs which we can even use first line for severe endometriosis. Their availability is another huge advance.

I also think it is essential, that we don't put someone through surgery to recognize endometriosis. We must be better at taking a good history, doing an exam, and ultrasound when needed. You don't need a surgery to diagnose endometriosis. 

However,  we do still sometimes need surgery to treat endometriosis. Often, endometriosis will cause adhesions or scarring. These long-term sequelae of endometriosis can still require surgery. The medications we have available today are very good at stopping active disease. But the damage done from long-term endometriosis if we don’t treat may still require surgery. I'm hoping that the earlier we start treating people, the less damage will be done, and the less therapeutic surgeries needed. I think these changes are coming and are all very promising.

It would also be great if we had a non-invasive definitive diagnostic test. There are several of those under development, but nothing available yet. I suspect that we'll see those become available very shortly.

The other thing that we still need in the field is a treatment we can use for those women trying to get pregnant.  We use in vitro fertilization, which works very well in the endometriosis population. But a medical therapy that can suppress endometriosis and allow people to try to conceive without needing IVF is something I hope for in the future. A specific endometriosis therapy that is not hormonal, that targets the specific pathophysiology of endometriosis, is something that I'd like to see developed and many of us are currently working on.

I think there is a lot coming, but we've already moved the needle a long way. The GnRH antagonists have given us much more confidence in moving forward with clinical diagnosis and empiric treatment of this disease. It's a huge boon for women's health, allowing early recognition and preventing long-term complications of endometriosis.

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