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: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Background: Stress hyperglycemia ratio (SHR) refers to the ratio of blood glucose levels to glycated hemoglobin (HbA1c) levels upon admission. As a non-invasive and easily obtainable indicator, there is no systematic evidence-based medical evidence to support the value of SHR in predicting the poor prognosis of critically ill patients at present.
Methods: PubMed, Embase, Cochrane Library, and Web of Science databases were systematically searched with a December 20, 2024 deadline. Prospective and retrospective cohort studies were included. Two investigators independently screened studies and extracted data. The Newcastle-Ottawa scale was applied to appraise the risk of bias in the studies included. Statistical analysis was executed by means of Stata 15.1 software. Study heterogeneity was assessed with the I statistic. A restricted cubic spline model was leveraged for dose-response analysis. Sensitivity analyses were implemented to verify the stability of the results using the one-by-one exclusion method, and subgroup analyses were conducted with disease types.
Results: 39 studies involving 102,414 patients were included. The meta-analysis revealed that SHR exhibited a noticeable positive link with major adverse cardiovascular events (MACE), 30-day mortality, one-year mortality, cardiovascular mortality (CVM), and all-cause mortality (ACM) in critically ill patients. Dose-response analysis showed that a positive link of SHR with multiple mortality was noted in critically ill patients.
Conclusion: SHR is an independent predictor of mortality in critically ill patients, and its dynamic monitoring could provide essential support for early clinical risk stratification and intervention strategies.
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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12247285 | PMC |
http://dx.doi.org/10.1186/s40001-025-02868-x | DOI Listing |