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The Annals of Thoracic Surgery, Vol 50, 12-26, Copyright © 1990 by The Society of Thoracic Surgeons
FL Grover, KE Hammermeister and C Burchfiel
This study was authorized by the Department of Veterans Affairs to improve
the quality assurance of cardiac surgery by assessing preoperative risk
factors and relating them to operative mortality. Data were received on
10,480 patients over a 2-year period. Preoperative risk variables were
subjected to univariate and multivariate logistic regression analyses.
Significant variables for coronary artery bypass grafting after logistic
regression analysis in order of importance are previous cardiac operation,
priority of operation, New York Heart Association functional class,
peripheral vascular disease, age, pulmonary rales, current diuretic use,
and chronic obstructive pulmonary disease. For patients undergoing valve or
other cardiac operations with or without coronary artery bypass grafting,
those variables found to be significant after multivariate logistic
regression analysis are priority of operation; age; peripheral vascular
disease; great vessel repair; all other except aortic valve replacement,
mitral valve replacement, and great vessel repair; mitral valve
replacement; and cardiomegaly. By identifying these current risk factors
and the coefficients from the multivariate stepwise logistic regression
analysis, expected mortality can be calculated. We propose that the ratio
of observed to expected mortality is a better measure of quality of care
than unadjusted mortality.
ARTICLES
Initial report of the Veterans Administration Preoperative Risk Assessment Study for Cardiac Surgery
Cardiothoracic Surgery Section, Audie L. Murphy Veterans' Hospital, San Antonio, Texas 78284.
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