Faculty Bibliography

Background: Fatigue is among the most frequent and disabling symptoms in RMS patients.
Objective(s): To measure multiple sclerosis (MS) fatigue and its impact on daily life in a real-world population using a survey including the relapsing MS (RMS)-specific Fatigue Symptoms and Impacts Questionnaire-Relapsing Multiple Sclerosis (FSIQ-RMS).
Method(s): This is an ongoing noninterventional prospective study of RMS patients recruited across the USA via an online survey. Participants completed questionnaires including disease history, disease status, sleep, social and emotional functioning, and the FSIQ-RMS, administered daily for 7 days. The FSIQ-RMS measures self-reported fatigue, and scores range from 0-100 (higher score = greater severity). The impact of fatigue on several aspects of patient's life was rated from 0 (no impact) to 10 (very high impact).
Result(s): A total of 300 RMS participants completed the 7-day assessment: mean age: 43.0 yrs; 88% women; mean diagnosis age: 32 yrs. Fatigue was reported as the symptom with the greatest impact on daily functioning. Participants with lower disability rated fatigue as the most impactful symptom on daily life. Fatigue was rated as severe, with a mean score: 57.3 for the FSIQ-RMS symptom domain; 3 impact sub-domain scores were 42.3, 43.4 and 50.1 (physical, cognitive/emotional, and coping). Fatigue severity did not vary among patients receiving high efficacy disease modifying therapy (DMT) vs other DMTs (44% [n=111] vs 56% [n=143], with score of 57.8?}17.6 vs 55.9?}19.8). Impact of ability to perform daily activities was rated as the highest (6.9/10) in terms of impact on patient's life. Because of MS, 44% of participants did not work. Among those who were working currently (48%), the impact of fatigue on professional life was rated as 4.5/10. Nearly half of the participants (49% of 300) discussed fatigue at each visit with their neurologists and 35% discussed at most visits, with 'impact of fatigue on quality of life' being the most discussed topic (65% of 289). Participants used different approaches to manage their fatigue including avoided heat exposure (77%), took breaks (65%), managed their energy (59%), took non-medicinal products (58%); however, only 6% (of 293) were totally satisfied with these strategies.
Conclusion(s): In this survey including the novel RMS specific FSIQ-RMS, fatigue occurred in most MS participants and adversely influenced patient's daily functioning and life. Fatigue remains a major concern for those with MS

BACKGROUND:Patients with Parkinson's disease (PD) are at higher risk of vaccine-preventable respiratory infections. However, advanced, homebound individuals may have less access to vaccinations. In light of COVID-19, understanding barriers to vaccination in PD may inform strategies to increase vaccine uptake. OBJECTIVE:To identify influenza and pneumococcal vaccination rates, including barriers and facilitators to vaccination, among homebound and ambulatory individuals with PD and related disorders. METHODS:Cross-sectional US-based study among individuals with PD, aged > 65 years, stratified as homebound or ambulatory. Participants completed semi-structured interviews on vaccination rates and barriers, and healthcare utilization. RESULTS:Among 143 participants, 9.8% had missed all influenza vaccinations in the past 5 years, and 32.2% lacked any pneumococcal vaccination, with no between-group differences. Homebound participants (n = 41) reported difficulty traveling to clinic (p < 0.01) as a vaccination barrier, and despite similar outpatient visit frequencies, had more frequent emergency department visits (31.7% vs. 9.8%, p < 0.01) and hospitalizations (14.6% vs. 2.9%, p = 0.03). Vaccine hesitancy was reported in 35% of participants, vaccine refusal in 19%, and 13.3% reported unvaccinated household members, with no between-group differences. Nearly 13% thought providers recommended against vaccines for PD patients, and 31.5% were unsure of vaccine recommendations in PD. CONCLUSION/CONCLUSIONS:Among a sample of homebound and ambulatory people with PD, many lack age-appropriate immunizations despite ample healthcare utilization. Many participants were unsure whether healthcare providers recommend vaccinations for people with PD. In light of COVID-19, neurologist reinforcement that vaccinations are indicated, safe, and recommended may be beneficial.

The use of stem cell-derived dopamine neurons or deep brain stimulation (DBS) represents two alternative approaches to treat Parkinson's Disease. DBS is a widely used FDA-approved treatment and stem cell-derived dopamine neuron replacement has now evolved to the first in-human clinical trials. In this debate, we discuss which of these approaches will evolve to be the treatment of choice for Parkinsonian patients in the future.

The specificity and implementation of current MRI-based diagnostic criteria for multiple sclerosis (MS) are imperfect. Approximately 1 in 5 of individuals diagnosed with MS are eventually determined not to have the disease, with overreliance on MRI findings a major cause of MS misdiagnosis. The central vein sign (CVS), a proposed MRI biomarker for MS lesions, has been extensively studied in numerous cross sectional studies and may increase diagnostic specificity for MS. CVS has desirable analytical, measurement, and scalability properties. "Central Vein Sign: A Diagnostic Biomarker in Multiple Sclerosis (CAVS-MS)" is an NIH-supported, 2-year, prospective, international, multicenter study conducted by the North American Imaging in MS Cooperative (NAIMS) to evaluate CVS as a diagnostic biomarker for immediate translation into clinical care. Study objectives include determining the concordance of CVS and McDonald Criteria to diagnose MS, the sensitivity of CVS to detect MS in those with typical presentations, and the specificity of CVS among those with atypical presentations. The study will recruit a total of 400 participants (200 with typical and 200 with atypical presentations) across 11 sites. T2*-weighted, high-isotropic-resolution, segmented echo-planar MRI will be acquired at baseline and 24 months on 3-tesla scanners, and FLAIR* images (combination of FLAIR and T2*) will be generated for evaluating CVS. Data will be processed on a cloud-based platform that contains clinical and CVS rating modules. Imaging quality control will be conducted by automated methods and neuroradiologist review. CVS will be determined by Select6* and Select3* lesion methods following published criteria at each site and by central readers, including neurologists and neuroradiologists. Automated CVS detection and algorithms for incorporation of CVS into McDonald Criteria will be tested. Diagnosis will be adjudicated by three neurologists who served on the 2017 International Panel on the Diagnosis of MS. The CAVS-MS study aims to definitively establish CVS as a diagnostic biomarker that can be applied broadly to individuals presenting for evaluation of the diagnosis of MS.

BACKGROUND:APOEɛ4 allele carriers present with increased risk for late-onset Alzheimer's disease (AD), show cognitive symptoms at earlier age, and are more likely to transition from mild cognitive impairment (MCI) to dementia but despite this, it remains unclear whether or not the ɛ4 allele controls the rate of disease progression. OBJECTIVE:To determine effects of the ɛ4 allele on rates of cognitive decline and brain atrophy during MCI and dementia stages of AD. METHODS:A segmented linear mixed model was chosen for longitudinal modeling of cognitive and brain volumetric data of 73 ɛ3/ɛ3, 99 ɛ3/ɛ4, and 39 ɛ4/ɛ4 Alzheimer's Disease Neuroimaging Initiative participants who transitioned during the study from MCI to AD dementia. RESULTS:ɛ4 carriers showed faster decline on MMSE, ADAS-11, CDR-SB, and MoCA scales, with the last two measures showing significant ɛ4 allele-dose effects after dementia transition but not during MCI. The ɛ4 effect was more prevalent in younger participants and in females. ɛ4 carriers also demonstrated faster rates of atrophy of the whole brain, the hippocampus, the entorhinal cortex, the middle temporal gyrus, and expansion of the ventricles after transitioning to dementia but not during MCI. CONCLUSION/CONCLUSIONS:Possession of the ɛ4 allele is associated with a faster progression of dementia due to AD. Our observations support the notion that APOE genotype not only controls AD risk but also differentially regulates mechanisms of neurodegeneration underlying disease advancement. Furthermore, our findings carry significance for AD clinical trial design.

Background/Objectives/UNASSIGNED:Little is known regarding the prevalence and predictors of prolonged cognitive and psychological symptoms of COVID-19 among community-dwellers. We aimed to quantitatively measure self-reported metrics of fatigue, cognitive dysfunction, anxiety, depression, and sleep and identify factors associated with these metrics among United States residents with or without COVID-19. Methods/UNASSIGNED:We solicited 1000 adult United States residents for an online survey conducted February 3-5, 2021 utilizing a commercial crowdsourcing community research platform. The platform curates eligible participants to approximate United States demographics by age, sex, and race proportions. COVID-19 was diagnosed by laboratory testing and/or by exposure to a known positive contact with subsequent typical symptoms. Prolonged COVID-19 was self-reported and coded for those with symptoms ≥ 1 month following initial diagnosis. The primary outcomes were NIH PROMIS/Neuro-QoL short-form T-scores for fatigue, cognitive dysfunction, anxiety, depression, and sleep compared among those with prolonged COVID-19 symptoms, COVID-19 without prolonged symptoms and COVID-19 negative subjects. Multivariable backwards step-wise logistic regression models were constructed to predict abnormal Neuro-QoL metrics. Results/UNASSIGNED:= 0.047), but there were no significant differences in quantitative measures of anxiety, depression, fatigue, or sleep. Conclusion/UNASSIGNED:Prolonged symptoms occurred in 25% of COVID-19 positive participants, and NeuroQoL cognitive dysfunction scores were significantly worse among COVID-19 positive subjects, even after accounting for demographic and stressor covariates. Fatigue, anxiety, depression, and sleep scores did not differ between COVID-19 positive and negative respondents.