Prediction of in-hospital mortality following pulmonary resections: improving on current risk models†

Abstract

Logistic regression based on age, sex, predicted postoperative FEV1, alcohol consumption and pre-existing renal disease predicts in-hospital mortality with improved accuracy compared with the use of Thoracoscore, ESOS.01 and the STS risk model.