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: 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
Objective: To evaluate handgrip strength (HGS) as a diagnostic tool for frailty risk in elderly patients with asthma, as well as to investigate the prevalence of frailty in this population.
Methods: This was a cross-sectional study including 96 patients ≥ 60 years of age diagnosed with moderate to severe asthma and treated at a tertiary referral center in Brazil. We measured HGS using a calibrated hydraulic hand dynamometer. We used a frailty scale and the AUC to assess the diagnostic accuracy of the HGS test.
Results: The median age of participants was 67 years. Most (78%) were women and non-White (91%) of low socioeconomic status. HGS identified those at risk for frailty, with an AUC of 71.6% (61.5-80.4%; p < 0.002), as well as a sensitivity of 73.58% and a specificity of 67.53%, on the basis of a cutoff of ≤ 19 kgf.
Conclusions: HGS appears to be a simple, reliable tool for clinicians to determine frailty risk in older asthma patients in a point-of-care setting.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578904 | PMC |
http://dx.doi.org/10.36416/1806-3756/e20220465 | DOI Listing |
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