Related Experiment Video
Updated: Apr 14, 2026

09:41
Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
Published on: July 19, 2019
12.2K
Neurological comorbidity and survival in multiple sclerosis
Olga Krökki1, Risto Bloigu2, Hanna Ansakorpi1
1Institute of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland.
Multiple Sclerosis and Related Disorders
|April 17, 2015
Summary
Neurological comorbidities are common in multiple sclerosis (MS) patients, with epilepsy being more prevalent than in the general population. While overall survival is good, stroke negatively impacts survival rates in MS.
Area of Science:
- Neurology
- Epidemiology
Background:
- Multiple sclerosis (MS) survival is of growing interest.
- Comorbid diseases can significantly influence life expectancy in MS patients.
Purpose of the Study:
- To assess the frequency of neurological comorbidities in a population-based multiple sclerosis cohort.
- To analyze the survival rates of these patients.
Main Methods:
- A population-based cohort of 491 patients with clinically definite MS was studied.
- Neurological comorbidities, gender, clinical course, disability (EDSS), and disease duration were evaluated.
- Survival rates were analyzed.
Main Results:
- 17.1% of MS patients had at least one neurological comorbidity.
- Epilepsy prevalence was higher in MS patients (4.7%) compared to the general population.
- Stroke was associated with decreased 21-year survival and increased prevalence with longer MS duration.
Conclusions:
- Neurological comorbidity is common in MS, though only epilepsy showed increased prevalence.
- Peripheral nervous system disorders were linked to primary progressive MS.
- The 21-year survival rate was high, but stroke poses a survival risk.
More Related Videos
Related Concept Videos
Cancer Survival Analysis
846
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
846
Assumptions of Survival Analysis
493
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
493
Comparing the Survival Analysis of Two or More Groups
720
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
720

