COVID-19 Symptoms and Immunotherapy in People with Multiple Sclerosis: An Analysis of the COVID-19 in MS Global Data Sharing Initiative Dataset

Author:

Garcia-Dominguez Maria A.ORCID,Srichawla Bahadar S.ORCID,Kipkorir Vincent

Abstract

ABSTRACTOBJECTIVESTo analyze the symptoms and severity of coronavirus disease 2019 (COVID-19) in people with multiple sclerosis (pwMS) on immunotherapy using data from the COVID-19 in multiple sclerosis (MS) Global Data Sharing Initiative dataset provided by PhysioNet.METHODSThe open-access COVID-19 in MS Global Data Sharing Initiative dataset was obtained through credentialed access using PhysioNet. The variables analyzed included body mass index (BMI), symptoms of COVID-19, age, current use of disease-modifying therapy (DMT), efficacy of DMT, comorbidities, hospitalization status, and type of MS. A linear regression analysis was completed. Data analysis and visualization were completed using STATAv1.5, R-Studiov1.1.447, Pythonv3.8, and its associated libraries, including NumPy, Pandas, and Matplotlib.RESULTSA total of 1141 participants were included in the analysis. 904 women and 237 men were diagnosed with MS. Among the pwMS included in the study; 208 (19.54%) had a suspected infection with COVID-19 and only 49 (5.25%) were confirmed. Any COVID-19 symptom was present in 360 individuals. The commonly reported DMT agents included dimethyl fumarate (12.71%) and fingolimod (10.17%). 101 in total (8.85%) reported not using any DMT. Factors associated with hospitalization and/or admission to the ICU included having any comorbidity (p = 0.01), neuromuscular disorder (p = 0.046), hypertension (p = 0.005), chronic kidney disease (p < 0.001), and immunodeficiency (p = 0.003). The type of MS, the duration of the disease, and high-efficacy DMT therapy did not have a statistically significant influence on hospitalization.CONCLUSIONThis study underscores the importance of comorbidities, especially neuromuscular disorders, hypertension, chronic kidney disease (CKD), and immunodeficiencies, as possible prognostic indicators for worse outcomes of COVID-19 in pwMS. On the contrary, the type of MS, the duration of the disease, and the efficacy of disease-modifying therapy did not significantly affect the severity of the symptoms of COVID-19 in this cohort.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3