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
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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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Objective: This study aims to investigate the prognostic value of integrating inflammatory biomarkers with the established Global Registry of Acute Coronary Events (GRACE) risk score for predicting clinical outcomes in patients with myocardial infarction (MI).
Methods: This prospective, single-center study enrolled adult MI patients admitted to the coronary care unit at Zhongshan Hospital, Fudan University. Blood samples were collected to measure inflammatory markers (IL-1β, sIL-2R, IL-6, IL-8) and myocardial biomarkers. The Gensini score and GRACE score were calculated for each patient. The primary endpoint was the post-MI occurrence of a composite of major adverse cardiovascular events (MACE), including cardiovascular death, non-fatal MI, and non-fatal ischemic stroke. Predictive performance of biomarkers was evaluated using Kaplan-Meier survival curves, Cox regression analysis, and receiver operating characteristic (ROC) curves.
Results: A total of 724 patients (median age 64 years, 85.0% male) were included with a median follow-up of 1.7 years. During follow-up, 81 patients (11.1%) experienced MACE, including 45 cardiovascular deaths, 23 MIs, and 13 strokes. Multivariate Cox regression analysis revealed that sIL-2R and IL-8 were independent predictors of MACE. Elevated levels of sIL-2R (HR = 9.123, 95% CI: 5.883-14.147, < 0.001) and IL-8 (HR = 4.443, 95% CI: 2.769-7.131, < 0.001) were significantly associated with an increased risk of MACE. After adjustment for cardiovascular risk factors, elevated sIL-2R (adjusted HR: 3.761, 95% CI: 2.269-6.233, < 0.001) and IL-8 (adjusted HR: 2.294, 95% CI: 1.375-3.825, = 0.001) levels remained significantly associated with an increased risk of MACE. The combination of sIL-2R, IL-8, and GRACE score displayed effective predictive performance for long-term MACE, as evidenced by ROC curve analysis (AUC = 0.824, 95% CI: 0.775-0.873, < 0.001).
Conclusion: Elevated levels of sIL-2R and IL-8 independently predict increased risk of MACE in MI patients. Integrating biomarkers such as sIL-2R and IL-8 with the GRACE score can significantly improve predictive performance, offering a robust approach for risk stratification in MI patients.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12287059 | PMC |
http://dx.doi.org/10.3389/fcvm.2025.1591578 | DOI Listing |