Copyright © 1984 by the European Society of Cardiology.
© 1984 The European Society of Cardiology
Early risk stratification using clinical findings in patients with acute myocardial infarction
Divisions of Cardiology and Medical Informatics, University ofLeuven, School of Medicine Leuven, Belgium
Received 6 December 1982; revised 8 August 1983; .
Correspondence to. Jos L. Willems, M.D., University Hospital St. Rafael, Herestraat, 49, 3000 Leuven, Belgium.
Abstract
The value of non-invasive, clinical variables in predicting short-term outcome after acute myocardial infarction has been prospectively studied using multivariate analysis in a learning population of 1724 patients and a validation sample of 588 cases.
Early risk stratification ofCCU mortality could be made with 89-4% accuracy by using 7 simple clinical variables (Killip class, systolic blood pressure, heart rate, age, intraventricular conduction disturbances, localization of infarction and obesity index) recorded on admission. A discriminant function formula could also be constructed resulting in a maximal classification of 89-3% and predictive values of 91-8% and 77-9%, respectively, for 28-day survival and early death prediction in the learning population. Accuracy figures dropped only slightly (I to 5%) in the independent test set. Predictions could be made with a high degree of accuracy, especially in the upper and lower ranges of the discriminant risk score.
This investigation demonstrates that a fairly good estimation of prognosis can be made by means of discriminant analysis of clinical findings gathered routinely in most CCU's.
Key Words: Acute myocardial infarction prognostic indices multivariate risk prediction
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