PREDICTING THE OCCURRENCE OF MAJOR ADVERSE CARDIAC EVENTS WITHIN 30 DAYS AFTER A PATIENT'S VASCULAR SURGERY: AN INDIVIDUAL PATIENT-DATA META-ANALYSIS

Introduction Major adverse cardiac events (MACE) – which include cardiac death and non-fatal myocardial infarction – are severe harmful outcomes that commonly arise after elective non-cardiac vascular surgeries. Current preoperative risk prediction models are not as effective in predicting post-oper...

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Bibliographic Details

Published in:	Journal of epidemiology and community health (1979) Vol. 67; no. 10; p. e2
Main Authors:	Vanniyasingam, Thuvaraha, Thabane, Lehana, Rodseth, Reitze, Buse, Giovana A. Lurati, Bolliger, Daniel, Daniel, Christoph S., Cuthbertson, Brian H., Gibson, Simon C., Mahla, Elisabeth, Leibowitz, David W., Biccard, Bruce
Format:	Journal Article
Language:	English
Published:	London BMJ Publishing Group Ltd 01-10-2013 BMJ Publishing Group LTD
Subjects:	ACCESS TO HLTH CARE ACCIDENTS ADDICTIVE BEHAVIOUR/ADDICTION Hormones Myocardial infarction Prediction models Regression analysis Sensitivity analysis Statistical models Systematic review
Online Access:	Get full text
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