Prediction of cardiac risk in non-cardiac surgery.
This prospective study was carried out to develop a model for the prediction of cardiac risk in non-cardiac surgery. Detailed data were collected concerning the preoperative status of 2609 consecutive patients, who were followed closely during the postoperative course. Fatal or life-threatening cardiac complications occurred in 68 patients (2.6%). By utilizing logistic regression, a model for prediction of cardiac risk was developed. The model contained six significant preoperative predictor variables: Congestive heart failure (with 3 degrees of severity); ischaemic heart disease (with 2 degrees of severity); diabetes mellitus; serum creatinine above 0.13 mmol l-1; emergency operation; and the type of operation (two categories). With this model it seems possible to discriminate between patients with very different levels of cardiac risk.
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003645:Death, Sudden / Q000209:etiology*; D005260:Female; D006333:Heart Failure / Q000175:diagnosis; D006801:Humans; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000175:diagnosis*; D011183:Postoperative Complications / Q000175:diagnosis*; D012306:Risk; D013610:Tachycardia / Q000175:diagnosis; D014693:Ventricular Fibrillation / Q000175:diagnosis