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The Annals of Thoracic Surgery, Vol 56, 1296-1306, Copyright © 1993 by The Society of Thoracic Surgeons
FL Grover, RR Johnson, G Marshall and KE Hammermeister
As risk-adjusted outcome is increasingly being used to make clinical
decisions and to assess and improve quality of care, it is important to
develop simple, stable models for predicting outcome. Here we address the
hypothesis that a risk factor for increased operative mortality at coronary
artery bypass grafting may have differential effects in subgroups of
patients defined by the presence or absence of other risk variables. We
used a series of univariate and multivariate analyses to identify a group
of ten patient-related preoperative characteristics independently
predictive of operative death in the total population of 12,712 patients
undergoing coronary artery bypass grafting at 43 Department of Veterans
Affairs medical centers participating in the Department of Veterans Affairs
Continuous Improvement in Cardiac Surgery Study. Separate logistic
regression models were then developed for each of 14 clinically important
subgroups defined by the presence or absence of seven risk variables. Odds
ratios for operative death and estimated operative mortality were
calculated from these subgroup regression models. Of 65 comparisons of
pairs odds ratios of preoperative risk variables between the subgroups with
and without a second risk variable, only five were found to be significant
(p < 0.05 without adjustment for multiple comparisons); this is only
slightly more than would be expected by chance alone. Risk factors for
increased operative death appear to have similar odds ratios for subgroups
of patients defined by a second risk variable. This finding greatly
simplifies the use of predicted operative mortality in clinical decision
making and quality assessment and improvement in coronary artery bypass
grafting.
ARTICLES
Factors predictive of operative mortality among coronary artery bypass subsets
Surgical Service and Cardiology Section, Denver Department of Veterans Affairs Medical Center, Colorado 80220.
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