Use of genetic programming, logistic regression, and artificial neural nets to predict readmission after coronary artery bypass surgery.

As many as 14 % of patients undergoing coronary artery bypass surgery are readmitted within 30 days. Readmission is usually the result of morbidity and may lead to death. The purpose of this study is to develop and compare statistical and genetic programming models to predict readmission.

Postoperative analgesia with ketorolac is associated with decreased mortality after isolated coronary artery bypass graft surgery in patients already receiving aspirin: a propensity-matched study.

Objective: This study was designed to determine the effect of ketorolac on mortality after cardiac surgery.

Design: A retrospective multivariable analysis with propensity matching and propensity scoring.

Setting: A tertiary care university-affiliated medical center.