Cargando…
An Observational Study of Multi-Faceted Demyelinating Disorders
Background and objectives: Idiopathic inflammatory demyelinating diseases of the central nervous system (IIDCDs) are wide-ranging disorders due to their similarities and differences. In order to address these conditions, studying their characteristics is essential. The endpoints of our study were to...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507210/ https://www.ncbi.nlm.nih.gov/pubmed/37731435 http://dx.doi.org/10.7759/cureus.43775 |
_version_ | 1785107264532643840 |
---|---|
author | Biswal, Nihar R Mallick, Ashok K Swain, Kali Sahoo, Jyoti Prakash |
author_facet | Biswal, Nihar R Mallick, Ashok K Swain, Kali Sahoo, Jyoti Prakash |
author_sort | Biswal, Nihar R |
collection | PubMed |
description | Background and objectives: Idiopathic inflammatory demyelinating diseases of the central nervous system (IIDCDs) are wide-ranging disorders due to their similarities and differences. In order to address these conditions, studying their characteristics is essential. The endpoints of our study were to assess the incidence, presenting features, MRI findings, and predictors of disease progression of prevalent demyelinating disorders. Material and methods: This prospective, observational study was conducted at Srirama Chandra Bhanja (SCB) Medical College and Hospital, India, from August 2018 to November 2021. Individuals of 18-65 years of age with common demyelinating disorders were assessed at baseline, six, 12, and 24 months. Univariate and multivariate analyses were performed for the assessment of predictors. We used R software (version 4.2.1; R Foundation for Statistical Computing, Vienna, Austria) for data analysis. Results: Two hundred twenty (79%) of 278 enrolled participants completed this study. The mean age of the study population was 52.3±11.4 years. One hundred thirty-eight (63%) of them were males. The most common IIDCD in our study was neuromyelitis optica spectrum disorder (NMOSD: 87, 39.5%), followed by multiple sclerosis (MS: 72, 32.7%), acute transverse myelitis (ATM: 35, 15.9%), and acute disseminated encephalomyelitis (ADEM: 26, 11.8%). The univariate analysis revealed that male gender, diabetes mellitus, and history of smoking or alcoholism were significant predictors of the disease progression. Conclusion: The IIDCDs were polysymptomatic at the initial presentation. Male diabetics are more prone to progressive disorders. However, multivariate analysis did not provide statistically significant results. |
format | Online Article Text |
id | pubmed-10507210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-105072102023-09-20 An Observational Study of Multi-Faceted Demyelinating Disorders Biswal, Nihar R Mallick, Ashok K Swain, Kali Sahoo, Jyoti Prakash Cureus Family/General Practice Background and objectives: Idiopathic inflammatory demyelinating diseases of the central nervous system (IIDCDs) are wide-ranging disorders due to their similarities and differences. In order to address these conditions, studying their characteristics is essential. The endpoints of our study were to assess the incidence, presenting features, MRI findings, and predictors of disease progression of prevalent demyelinating disorders. Material and methods: This prospective, observational study was conducted at Srirama Chandra Bhanja (SCB) Medical College and Hospital, India, from August 2018 to November 2021. Individuals of 18-65 years of age with common demyelinating disorders were assessed at baseline, six, 12, and 24 months. Univariate and multivariate analyses were performed for the assessment of predictors. We used R software (version 4.2.1; R Foundation for Statistical Computing, Vienna, Austria) for data analysis. Results: Two hundred twenty (79%) of 278 enrolled participants completed this study. The mean age of the study population was 52.3±11.4 years. One hundred thirty-eight (63%) of them were males. The most common IIDCD in our study was neuromyelitis optica spectrum disorder (NMOSD: 87, 39.5%), followed by multiple sclerosis (MS: 72, 32.7%), acute transverse myelitis (ATM: 35, 15.9%), and acute disseminated encephalomyelitis (ADEM: 26, 11.8%). The univariate analysis revealed that male gender, diabetes mellitus, and history of smoking or alcoholism were significant predictors of the disease progression. Conclusion: The IIDCDs were polysymptomatic at the initial presentation. Male diabetics are more prone to progressive disorders. However, multivariate analysis did not provide statistically significant results. Cureus 2023-08-19 /pmc/articles/PMC10507210/ /pubmed/37731435 http://dx.doi.org/10.7759/cureus.43775 Text en Copyright © 2023, Biswal et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Family/General Practice Biswal, Nihar R Mallick, Ashok K Swain, Kali Sahoo, Jyoti Prakash An Observational Study of Multi-Faceted Demyelinating Disorders |
title | An Observational Study of Multi-Faceted Demyelinating Disorders |
title_full | An Observational Study of Multi-Faceted Demyelinating Disorders |
title_fullStr | An Observational Study of Multi-Faceted Demyelinating Disorders |
title_full_unstemmed | An Observational Study of Multi-Faceted Demyelinating Disorders |
title_short | An Observational Study of Multi-Faceted Demyelinating Disorders |
title_sort | observational study of multi-faceted demyelinating disorders |
topic | Family/General Practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507210/ https://www.ncbi.nlm.nih.gov/pubmed/37731435 http://dx.doi.org/10.7759/cureus.43775 |
work_keys_str_mv | AT biswalniharr anobservationalstudyofmultifaceteddemyelinatingdisorders AT mallickashokk anobservationalstudyofmultifaceteddemyelinatingdisorders AT swainkali anobservationalstudyofmultifaceteddemyelinatingdisorders AT sahoojyotiprakash anobservationalstudyofmultifaceteddemyelinatingdisorders AT biswalniharr observationalstudyofmultifaceteddemyelinatingdisorders AT mallickashokk observationalstudyofmultifaceteddemyelinatingdisorders AT swainkali observationalstudyofmultifaceteddemyelinatingdisorders AT sahoojyotiprakash observationalstudyofmultifaceteddemyelinatingdisorders |