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COVID-19 in multiple sclerosis patients and risk factors for severe infection.

ABSTRACT: Multiple sclerosis (MS) patients have been considered a higher-risk population for COVID-19 due to the high prevalence of disability and disease-modifying therapy use; however, there is little data identifying clinical characteristics of MS associated with worse COVID-19 outcomes. Therefore, we conducted a multicenter prospective cohort study looking at the outcomes of 40 MS patients with confirmed COVID-19. Severity of COVID-19 infection was based on hospital course, where a mild course was defined as the patient not requiring hospital admission, moderate severity was defined as the patient requiring hospital admission to the general floor, and most severe was defined as requiring intensive care unit admission and/or death. 19/40(47.5%) had mild courses, 15/40(37.5%) had moderate courses, and 6/40(15%) had severe courses. Patients with moderate and severe courses were significantly older than those with a mild course (57[50-63] years old and 66[58.8-69.5] years old vs 48[40-51.5] years old, P = 0.0121, P = 0.0373). There was differing prevalence of progressive MS phenotype in those with more severe courses (severe:2/6[33.3%]primary-progressing and 0/6[0%]secondary-progressing, moderate:1/14[7.14%] and 5/14[35.7%] vs mild:0/19[0%] and 1/19[5.26%], P = 0.0075, 1 unknown). Significant disability was found in 1/19(5.26%) mild course-patients, but was in 9/15(60%, P = 0.00435) of moderate course-patients and 2/6(33.3%, P = 0.200) of severe course-patients. Disease-modifying therapy prevalence did not differ among courses (mild:17/19[89.5%], moderate:12/15[80%] and severe:3/6[50%], P = 0.123). MS patients with more severe COVID-19 courses tended to be older, were more likely to suffer from progressive phenotype, and had a higher degree of disability. However, disease-modifying therapy use was not different among courses.

SUBMITTER: Chaudhry F

PROVIDER: S-EPMC7834402 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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COVID-19 in multiple sclerosis patients and risk factors for severe infection.

Chaudhry Farhan F Bulka Helena H Rathnam Anirudha S AS Said Omar M OM Lin Jia J Lorigan Holly H Bernitsas Eva E Rube Jacob J Korzeniewski Steven J SJ Memon Anza B AB Levy Phillip D PD Schultz Lonni L Javed Adil A Lisak Robert R Cerghet Mirela M

Journal of the neurological sciences 20200919

Multiple sclerosis (MS) patients have been considered a higher-risk population for COVID-19 due to the high prevalence of disability and disease-modifying therapy use; however, there is little data identifying clinical characteristics of MS associated with worse COVID-19 outcomes. Therefore, we conducted a multicenter prospective cohort study looking at the outcomes of 40 MS patients with confirmed COVID-19. Severity of COVID-19 infection was based on hospital course, where a mild course was def ...[more]

PMID: 32980780

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Project description:BackgroundMany risk factors for the development of severe forms of Covid-19 have been identified, some applying to the general population and others specific to Multiple Sclerosis (MS) patients. However, a score for quantifying the individual risk of severe Covid-19 in patients with MS is not available. The aim of this study was to construct such score and to evaluate its performance.MethodsData on patients with MS infected with Covid-19 in Italy, Turkey and South America were extracted from the Musc-19 platform. After imputation of missing values, data were separated into training data set (70%) and validation data set (30%). Univariable logistic regression models were performed in the training dataset to identify the main risk factors to be included in the multivariable logistic regression analyses. To select the most relevant variables we applied three different approaches: (1) multivariable stepwise, (2) Lasso regression, (3) Bayesian model averaging. Three scores were defined as the linear combination of the coefficients estimated in the models multiplied by the corresponding value of the variables and higher scores were associated to higher risk of severe Covid-19 course. The performances of the three scores were compared in the validation dataset based on the area under the ROC curve (AUC) and an optimal cut-off was calculated in the training dataset for the score with the best performance. The probability of showing a severe Covid-19 course was calculated based on the score with the best performance.Results3852 patients were included in the study (2696 in the training dataset and 1156 in the validation data set). 17% of the patients required hospitalization and risk factors for severe Covid-19 course were older age, male sex, living in Turkey or South America instead of living in Italy, presence of comorbidities, progressive MS, longer disease duration, higher Expanded Disability Status Scale, Methylprednisolone use and anti-CD20 treatment. The score with the best performance was the one derived using the Lasso selection approach (AUC= 0.72) and it was built with the following variables: age, sex, country, BMI, presence of comorbidities, EDSS, methylprednisolone use, treatment. An excel spreadsheet to calculate the score and the probability of severe Covid-19 is available at the following link: https://osf.io/ac47u/?view_only=691814d57b564a34b3596e4fcdcf8580.ConclusionsThe originality of this study consists in building a useful tool to quantify the individual risk for Covid-19 severity based on patient's characteristics. Due to the modest predictive ability and to the need of external validation, this tool is not ready for being fully used in clinical practice to make important decisions or interventions. However, it can be used as an additional instrument to identify high-risk patients and persuade them to take important measures to prevent Covid-19 infection (i.e. getting vaccinated against Covid-19, adhering to social distancing, and using of personal protection equipment).

Project description:BackgroundThe outbreak of coronavirus disease 2019 (COVID-19) has rapidly spread and developed as a pandemic threatening global health. Patients with multiple sclerosis (MS)-an autoimmune demyelinating inflammatory disease of the central nervous system (CNS)-are predominantly treated with immunomodulatory/immunosuppressive disease-modifying therapies (DMTs), which can increase the risk of infection. Therefore, there is concern that these patients may have a higher risk of COVID-19. In response to growing concerns of neurologists and patients, this study aimed to determine the prevalence, severity, and possible complications of COVID-19 infection in patients with MS in Saudi Arabia (SA).MethodsIn this prospective cohort study, demographic and clinical data were obtained from patients residing in SA with MS who had a positive result for COVID-19 per reverse transcription-polymerase chain reaction test or viral gene sequencing, using respiratory or plasma samples. Comparison of COVID-19 severity groups was performed using one-way ANOVA or Kruskal-Wallis test for numerical variables and Chi-squared test for categorical variables.ResultsSeventy patients with MS and COVID-19 (71% female) were included in this analysis. Of the 53 (75.7%) patients receiving a DMT at the time of COVID-19 infection, the most frequently used DMTs were fingolimod (25%) and interferon-beta (25%). Nine (13%) patients had MS relapse and were treated with intravenous methylprednisolone in the four weeks before COVID-19 infection. The most common symptoms at the peak of COVID-19 infection were fever (46%), fatigue (37%), and headache (36%). Symptoms lasted for a mean duration of 8.7 days; all symptomatic patients recovered and no deaths were reported. COVID-19 severity was categorized in three groups: asymptomatic (n = 12), mild-not requiring hospitalization (n = 48), and requiring hospitalization (n = 10; two of whom were admitted to the intensive care unit [ICU]). Between the three groups, comparison of age, body mass index , Expanded Disability Severity Score , MS disease duration, and DMT use at the time of infection showed no significant differences. A higher percentage of patients who were admitted to hospital or the ICU (40%; p = 0.026) presented with an MS relapse within the prior four weeks compared with those who were asymptomatic or had a mild infection (both 8.3%).ConclusionThese findings present a reassuring picture regarding COVID-19 infection in patients with MS. However, patients with MS who have had a relapse in the preceding four weeks (requiring glucocorticoid treatment) may have an increased risk of severe COVID-19.

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COVID-19 in multiple sclerosis patients and risk factors for severe infection.

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COVID-19 in multiple sclerosis patients and risk factors for severe infection.

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