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: Elevations of creatine kinase-MB (CK-MB) and cardiac troponin T (cTnT) have an uncertain long-term prognostic value after coronary artery bypass graft (CABG) surgery. We aimed to test the hypothesis that CK-MB and cTnT are predictors of long-term survival after CABG and to assess which of these 2 biomarkers is the better predictor.
Methods: A total of 1,350 consecutive patients undergoing isolated on-pump CABG had CK-MB and cTnT measured at 7, 20, and 44 hours, postoperatively. The end point was all-cause mortality, and during the median follow-up time of 6.1 years, 207 patients (15.3%) died.
Results: Both peak CK-MB and peak cTnT independently predicted long-term mortality (hazard ratio [HR] 1.003, 95% confidence interval [CI] 1.001-1.005, P = .007, and HR 1.31, 95% CI 1.17-1.46, P <.001, respectively) when analyzed in separate multivariate Cox models, adjusting for baseline demographic characteristics and perioperative risk factors. However, when analyzed simultaneously in the same Cox model, cTnT was a significant predictor (HR 1.31, 95% CI 1.13-1.51, P <.001), whereas CK-MB was not (P = .99). Similar results were found when the biomarkers were analyzed together in a Cox model adjusting for European System for Cardiac Operative Risk Evaluation. The differences in mortality between the biomarker groups were consistent also when analyzing strict quartiles of peak values of CK-MB and cTnT (P = .81 and P = .001, respectively).
Conclusions: Both CK-MB and cTnT are predictors of mortality after CABG surgery; however, our data suggest that cTnT is a better predictor of long-term mortality after CABG surgery than CK-MB.
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Source |
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http://dx.doi.org/10.1016/j.ahj.2012.05.027 | DOI Listing |
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