Faculty Bibliography

BACKGROUND:Neurology faculty care for complex patients, teach, and work within multidisciplinary teams. It is imperative for faculty to have strong communication skills. METHODS:We surveyed NYU neurology teaching faculty to determine levels of comfort and experience over the past year with providing negative feedback to a trainee; debriefing after an adverse clinical outcome; and assisting a struggling colleague. We examined the relationship between levels of comfort and experience with 1) faculty self-identified sex and 2) number of years since completion of medical training. RESULTS:The survey was completed by 36/83 teaching neurology faculty (43 %); 17 (47 %) respondents were female and 21 (58 %) were ≤10 years post-training. The proportions of faculty who reported feeling uncomfortable were 44 % (16/36) for assisting a struggling colleague, 28 % (10/36) for providing negative feedback, and 19 % (7/36) for debriefing an adverse outcome. Proportions of faculty who reported they had no experience were 75 % (27/36) for assisting a struggling colleague, 39 % (14/36) for debriefing an adverse clinical event, and 17 % (6/36) for providing negative feedback. Female respondents and faculty who were ≤10 years post-training were more likely to report feeling uncomfortable with assisting a struggling colleague and to have had no experience doing so in the past year. On multivariate analyses accounting for sex and experience, sex remained independently associated with feeling uncomfortable with assisting a struggling colleague (OR = 12.2, 95 % CI: 2.1-69.6, p = 0.005). CONCLUSION/CONCLUSIONS:Faculty development may be needed to improve comfort and experience with challenging communication-based interactions. Female faculty and faculty early in their careers may benefit most.

BACKGROUND:STRIVE was a prospective, 4-year, multicenter, observational, open-label, single-arm study of natalizumab treatment in anti-JC virus antibody-negative patients with early relapsing-remitting multiple sclerosis (RRMS). OBJECTIVE:Study objectives examined the effects of natalizumab on cognitive processing speed, confirmed disability improvement (CDI), and patient-reported outcomes (PROs). METHODS:Clinical and PRO secondary endpoints were assessed annually over 4 years in STRIVE. The Symbol Digit Modalities Test (SDMT) was used as a measure of cognitive processing speed. PROs were assessed using the Multiple Sclerosis Impact Score (MSIS-29) and the Work Productivity and Activity Impairment Questionnaire (WPAI). RESULTS:At all four annual assessments, the proportion of patients in the intent-to-treat (ITT) population (N = 222) who exhibited clinically meaningful improvement in their SDMT score from baseline (i.e., change ≥ 4 points) ranged from 41.9 to 54.0%. The cumulative probability of CDI at 4 years in patients in the ITT population with a baseline Expanded Disability Status Scale score ≥ 2 (N = 133) was 43.9%. Statistically significant reductions in the mean change from screening in the MSIS-29 physical and psychological scores, indicating improved quality of life, were observed over all 4 years (P ≤ 0.0012 for all). A statistically significant decrease from screening in the impact of MS on regular activities, signifying an improvement in this WPAI measure, was also observed over all 4 years of the study. CONCLUSION/CONCLUSIONS:These results further extend our knowledge of the effectiveness, specifically regarding improvements in cognitive processing speed, disability and PROs, of long-term natalizumab treatment in early RRMS patients. CLINICALTRIALS/RESULTS:GOV: NCT01485003 (5 December 2011).

OBJECTIVE:The primary objective was to determine the effect of the COVID-19 pandemic on volume, demographics, and mechanisms of injury (MOI) for patients seen at an urban multidisciplinary concussion center. During the first phase of the pandemic in the United States, stay-at-home orders led to decreased group activities and required cancellation of outpatient appointments or initiation of telemedicine visits. METHODS:This study was a retrospective chart review of 3500 patient electronic medical records (EMR). Patients aged 1-99 years were eligible if they had been seen at New York University Langone Health Concussion Center during March 1-December 31, 2019 (control/pre-pandemic period) or during the same period in 2020 (pandemic period). Injury date, appointment date, age, sex, and MOI were captured; statistical analyses were performed using Stata17 (StataCorp, College Station, TX). RESULTS:There were 48% fewer visits during the COVID-19 pandemic period compared to the 2019 control period. There was a decreased proportion of pediatric patients (15% control, 6% pandemic; p = 0.007, chi-square test). Fewer concussions were related to team sports (21% control, 5% pandemic; p < 0.001), and a greater proportion were caused by bicycle accidents (4% control, 8% pandemic; p = 0.037) and assault/domestic violence (3% control, 9% pandemic; p < 0.001). CONCLUSION/CONCLUSIONS:The relative proportions of concussion MOI, age distributions, and visit volumes were significantly associated with pre-pandemic vs. pandemic periods, suggesting that COVID-19 changed concussion epidemiology during the pandemic period. This study demonstrates how epidemiologic data may inform future resource allocation during public health emergencies.

Neurologists have long-recognized the importance of the visual system in the diagnosis and monitoring of neurological disorders. This is particularly true since approximately 50% of the brain's pathways subserve afferent and efferent aspects of vision. During the past 30 years, researchers and clinicians have further refined this concept to include investigation of the visual system for patients with specific neurologic diagnoses, including multiple sclerosis (MS), concussion, Parkinson's disease (PD) and conditions along the spectrum of Alzheimer's disease (AD, mild cognitive impairment [MCI] and subjective cognitive decline [SCD]). This review, highlights the visual "toolbox" that has been developed over the past three decades and beyond to capture both structural and functional aspects of vision in neurologic disease. While the efforts to accelerate the emphasis on structure-function relationships in neurological disorders began with MS during the early 2000's, such investigations have broadened to recognize the need for outcomes of visual pathway structure, function and quality of life for clinical trials of therapies across the spectrum of neurological disorders. This review begins with a patient case study highlighting the importance utilizing the most modern technologies for visual pathway assessment, including optical coherence tomography (OCT). We emphasize that both structural and functional tools for vision testing can be used in parallel to detect what might otherwise be sub-clinical events or markers of visual and, perhaps, more global neurological, decline. Such measures will be critical as clinical trials and therapies become more available across the neurological disease spectrum.

Myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) is a recently described CNS inflammatory disorder that may manifest with optic neuritis, myelitis, seizures, and/or acute disseminated encephalomyelitis. While MOG-specific antibodies in patients with MOGAD are IgG1, a T-cell-dependent antibody isotype, immunologic mechanisms of this disease are not fully understood. Thymic hyperplasia can be associated with certain autoimmune diseases. In this report we describe a case of MOGAD associated with thymic hyperplasia in a young adult.

We describe a woman with a history of relapsing acute optic neuritis and perineuritis. Testing failed to confirm a specific diagnosis; hence, she was diagnosed with seronegative neuromyelitis optica spectrum disorder and treated with the immunotherapy rituximab, later in conjunction with mycophenolate mofetil. She achieved a durable remission for 9 years until she presented with paresthesia affecting her left fifth digit, right proximal thigh, and left foot, while also reporting a 25-pound weight loss over the prior 3 months. New imaging demonstrated a longitudinally extensive and enhancing optic nerve, in conjunction with multifocal enhancing lesions within the spinal cord, in a skip-like distribution. The differential diagnosis is discussed.

A woman presented at age 18 years with partial myelitis and diplopia and experienced multiple subsequent relapses. Her MRI demonstrated T2 abnormalities characteristic of multiple sclerosis (MS) (white matter ovoid lesions and Dawson fingers), and CSF demonstrated an elevated IgG index and oligoclonal bands restricted to the CSF. Diagnosed with clinically definite relapsing-remitting MS, she was treated with various MS disease-modifying therapies and eventually began experiencing secondary progression. At age 57 years, she developed an acute longitudinally extensive transverse myelitis and was found to have AQP4 antibodies by cell-based assay. Our analysis of the clinical course, radiographic findings, molecular diagnostic methods, and treatment response characteristics support the hypothesis that our patient most likely had 2 CNS inflammatory disorders: MS, which manifested as a teenager, and neuromyelitis optica spectrum disorder, which evolved in her sixth decade of life. This case emphasizes a key principle in neurology practice, which is to reconsider whether the original working diagnosis remains tenable, especially when confronted with evidence (clinical and/or paraclinical) that raises the possibility of a distinctively different disorder.

Optic neuritis is an inflammatory optic neuropathy that is commonly indicative of autoimmune neurological disorders including multiple sclerosis, myelin-oligodendrocyte glycoprotein antibody-associated disease, and neuromyelitis optica spectrum disorder. Early clinical recognition of optic neuritis is important in determining the potential aetiology, which has bearing on prognosis and treatment. Regaining high-contrast visual acuity is common in people with idiopathic optic neuritis and multiple sclerosis-associated optic neuritis; however, residual deficits in contrast sensitivity, binocular vision, and motion perception might impair vision-specific quality-of-life metrics. In contrast, recovery of visual acuity can be poorer and optic nerve atrophy more severe in individuals who are seropositive for antibodies to myelin oligodendrocyte glycoprotein, AQP4, and CRMP5 than in individuals with typical optic neuritis from idiopathic or multiple-sclerosis associated optic neuritis. Key clinical, imaging, and laboratory findings differentiate these disorders, allowing clinicians to focus their diagnostic studies and optimise acute and preventive treatments. Guided by early and accurate diagnosis of optic neuritis subtypes, the timely use of high-dose corticosteroids and, in some instances, plasmapheresis could prevent loss of high-contrast vision, improve contrast sensitivity, and preserve colour vision and visual fields. Advancements in our knowledge, diagnosis, and treatment of optic neuritis will ultimately improve our understanding of autoimmune neurological disorders, improve clinical trial design, and spearhead therapeutic innovation.

BACKGROUND:The diagnosis of multiple sclerosis (MS) requires demyelinating events that are disseminated in time and space. Peripapillary retinal nerve fiber layer (pRNFL) thickness as measured by optical coherence tomography (OCT) distinguishes eyes with a prior history of acute optic neuritis (ON) and may provide evidence to support a demyelinating attack. OBJECTIVE:To investigate whether a deep learning (DL)-based network can distinguish between eyes with prior ON and healthy control (HC) eyes using peripapillary ring scans. METHODS:We included 1033 OCT scans from 415 healthy eyes (213 HC subjects) and 510 peripapillary ring scans from 164 eyes with prior acute ON (140 patients with MS). Data were split into 70% training, 15% validation, and 15% test data. We included 102 OCT scans from 80 healthy eyes (40 HC) and 61 scans from 40 ON eyes (31 MS patients) from an independent second center. Receiver operating characteristic curve analyses with area under the curve (AUC) were used to investigate performance. RESULTS:We used a dilated residual convolutional neural network for the classification. The final network had an accuracy of 0.85 and an AUC of 0.86, whereas pRNFL only had an AUC of 0.77 in recognizing ON eyes. Using data from a second center, the network achieved an accuracy of 0.77 and an AUC of 0.90 compared to pRNFL, which had an AUC of 0.84. INTERPRETATION:DL-based disease classification of prior ON is feasible and has the potential to outperform thickness-based classification of eyes with and without history of prior ON.