The authors used a new method of evaluating clinical disability--Multiple Sclerosis Functional Composite (MSFC). Three quantitative tests, for the upper, lower extremities and cognitive functions, were used in 90 multiple sclerosis (MS) patients. The correlation between these results and Expanded Disability Status (EDSS) has shown that in slightly disabled patients there was achieved relatively high correlation especially for the upper extremities function. Their function remains saved for comparatively a long time. During the gradual deterioration of clinical status high correlation between the severity of disability and lower extremities function was achieved. The lowest degree of correlation was observed in cognitive functions, which are monitored more senzitively by MSFC method than by EDSS. The best correlation was revealed in seriously disabled group, not in slight and moderate affections, because EDSS evaluates these functions only marginally and cannot catch discover the beginning of the cognitive deficit. (Tab. 1, Ref. 4.)
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Multiple Sclerosis Care in Latin America.
Int J MS Care
December 2024
Clinica Colombia, Hospital San Jose, Bogotá, Colombia.
Latin America (LATAM) is a diverse region with more than 30 countries, each varying in cultural, economic, and social aspects. While multiple sclerosis (MS) care in LATAM has improved, there are still challenges to address. Epidemiologic studies have shown varying incidence rates of MS in the region, influenced by factors such as genetics, environmental conditions, and regional diversity.
View Article and Find Full Text PDFGlobal, regional, and national burden of tobacco-related neurological disorders from 1990 to 2021: Trends and future projections.
Tob Induc Dis
March 2025
Department of Anatomy and Neurobiology, Xiangya School of Basic Medical Sciences, Central South University, Changsha, China.
Introduction: Tobacco use is as a major public health concern around the world, adversely impacting quality of life. Our study aims to analyze the trends in the burden of tobacco-related neurological disorders (ND) at global, regional, and national levels from 1990 to 2021, as well as potential future trends.
Methods: We performed a secondary dataset analysis for the assessment of mortality and disability-adjusted life years (DALYs) using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, to explore the burden of tobacco-related ND.
Yerba Mate () Ameliorates Experimental Autoimmune Encephalomyelitis by Modulating Regulatory T Cell Function.
Nutrients
March 2025
Lymphatic Vasculature and Inflammation Research Laboratory, Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca 3467987, Chile.
In Latin America, yerba mate (YM) is a popular infusion processed from the leaves and stems of . YM has been shown to have anti-inflammatory properties in several studies, although the effect of YM on multiple sclerosis (MS) remains elusive. The purpose of this study was to examine the effect of YM on the development of MS, by using the experimental autoimmune encephalomyelitis (EAE) mouse model while also evaluating its effect over infiltration of immune cells into the central nervous system (CNS) and regulatory T cell (Treg) function.
View Article and Find Full Text PDFNovel Cell Models to Study Myelin and Microglia Interactions.
Int J Mol Sci
February 2025
Neuroimmunology Group, Department of Medicine, University of Lleida-IRBLleida, 25198 Lleida, Spain.
Multiple sclerosis (MS) is characterized by demyelination and neuroinflammation, with oxidative stress playing a pivotal role in lesion pathology. This study aimed to investigate the differential cellular responses to myelin debris under varying oxidative states. Myelin oxidation was induced using a Cu-peroxide system, confirmed by elevated TBARS levels and autofluorescence.
View Article and Find Full Text PDFMachine Learning Methods for Classifying Multiple Sclerosis and Alzheimer's Disease Using Genomic Data.
Int J Mol Sci
February 2025
Centre for Human Technologies, Istituto Italiano di Tecnologia, Via Enrico Melen, 83, 16152 Genova, Italy.
Complex diseases pose challenges in prediction due to their multifactorial and polygenic nature. This study employed machine learning (ML) to analyze genomic data from the UK Biobank, aiming to predict the genomic predisposition to complex diseases like multiple sclerosis (MS) and Alzheimer's disease (AD). We tested logistic regression (LR), ensemble tree methods, and deep learning models for this purpose.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!