Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
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.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507210 | PMC |
http://dx.doi.org/10.7759/cureus.43775 | DOI Listing |
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