Related Experiment Video

Updated: Aug 7, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K

COVID-19 and its implications on the clinico-radiological course of multiple sclerosis: A case-control study

Mohammad Rahmani1, Abdorreza Naser Moghadasi2, Shayan Shahi3

  • 1Department of Neurology, School of Medicine, AJA University of Medical Sciences, Tehran, Iran.

Medicina Clinica (English Ed.)
|March 8, 2023
PubMed
Abstract

Insights

COVID-19 infection may worsen multiple sclerosis (MS) severity, increasing disability scores and new MRI lesions in relapsing-remitting MS patients. Relapse rates remained unchanged during the follow-up period.

Area of Science:

  • Neurology
  • Immunology
  • Infectious Diseases

Background:

  • Multiple sclerosis (MS) is an immune-mediated condition linked to viral infections.
  • The potential impact of COVID-19 on MS severity requires investigation.

Purpose of the Study:

  • To determine the relationship between COVID-19 infection and the severity of multiple sclerosis.
  • To assess the effect of COVID-19 on disease progression in patients with relapsing-remitting MS (RRMS).

Main Methods:

  • A case-control study involving 362 patients with relapsing-remitting MS (RRMS).
  • Patients were categorized based on COVID-19 PCR results.
  • A 12-month prospective follow-up included clinical assessments and MRI scans at enrollment and 12 months.

Main Results:

  • MS patients with COVID-19 showed significantly increased MRI lesions and EDSS scores.
  • COVID-19 infection correlated positively with EDSS progression and new MRI lesions.
  • COVID-19 predicted an increased likelihood of new MRI lesions (OR: 5.92).

Conclusions:

  • COVID-19 may elevate disability scores in the RRMS population.
  • COVID-19 is associated with the development of new gadolinium-enhancing lesions on MRI.
  • No significant difference in relapse numbers was observed between COVID-19 positive and negative groups during follow-up.
Keywords:
COVID-19EDSSEnhancing lesionsMultiple sclerosisProgressionRelapse

More Related Videos

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.1K
Author Spotlight: Creating a Versatile Experimental Autoimmune Encephalomyelitis Model Relevant for Both Male and Female Mice05:44

Author Spotlight: Creating a Versatile Experimental Autoimmune Encephalomyelitis Model Relevant for Both Male and Female Mice

Published on: October 13, 2023

1.5K

Related Concept Videos

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
153
Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies01:22

Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies

The key clinical manifestations of Rheumatic heart disease (RHD) include several distinct cardiac symptoms.Carditis, a hallmark of acute rheumatic fever, involves inflammation of the heart's endocardium, myocardium, and pericardium. Chronic RHD often results from recurrent episodes of carditis. Its symptoms include the following:Murmurs are caused by valvular damage, especially to the mitral and aortic valves. Mitral stenosis or regurgitation is common, with characteristic heart murmurs...
42
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
452
COPD: Pathogenesis and Clinical Features01:20

COPD: Pathogenesis and Clinical Features

Chronic obstructive pulmonary disease (COPD) is a group of lung conditions that progressively worsen over time, including chronic bronchitis and emphysema. This cluster of diseases collectively leads to a gradual and irreversible decline in lung function over time.
The primary cause for the onset of COPD is cigarette smoking and exposure to air pollution. These hazardous factors initiate a chain reaction within the lungs, resulting in chronic inflammation, damage to the airways, and a...
402
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
212
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
568