Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&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: 3122
Function: getPubMedXML
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
Introduction: The visual-well aerated lung (V-WAL) is a score for the visual quantification of the well aerated lung on CT scan in COVID-19 patients and its value at admission seems to predict future COVID-19 severity. The aim of the present study was to analyze the association between V-WAL and risk factors for severe COVID-19 evolution in people with multiple sclerosis.
Materials And Methods: This is an observational retrospective study, including people with multiple sclerosis and concomitant COVID-19, who were investigated with a lung CT scan at Hospital admission. The association of V-WAL with age, sex, EDSS, comorbidities, recent steroid use, and treatment (anti-CD20 vs other) was assessed by a multivariate linear regression model.
Results: In this observational retrospective study, the only factor that was significantly associated to a lower V-WAL at multivariable analysis was an increasing level of the EDSS (R = 0.41, p = 0.001), with an average decrease of 8% of V-WAL for each additional EDSS point.
Discussion And Conclusion: This analysis shows that a high EDSS level is the main factor associated to the severity of lung involvement in a group of people with multiple sclerosis who were hospitalized for Covid-19.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374582 | PMC |
http://dx.doi.org/10.1007/s10072-022-06333-z | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!