Key result
A multivariate model combining 11 clinical and hemodynamic variables accurately identified 86% of early deaths and 96% of survivors (93% overall accuracy) after acute myocardial infarction.
Why the study?
Does a multivariate model combining clinical and hemodynamic variables accurately predict early mortality and survival in patients after acute myocardial infarction?
Population
371 patients after acute myocardial infarction (221 in initial series, 150 in validation series)
Design
Cohort
Follow-up
30 days and beyond
Authors
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May refine post-AMI risk stratification; leaves open prospective validation before clinical use.
Cohort (n=371)
Does a multivariate model combining clinical and hemodynamic variables accurately predict early mortality and survival in patients after acute myocardial infarction?
A multivariate discriminant function analysis combining clinical and hemodynamic variables provides a reliable approach for predicting early death or survival after acute myocardial infarction.
Henning et al. (1979) conducted a cohort in Acute myocardial infarction (n=371). Multivariate predictive model (discriminant function analysis) was evaluated on Early mortality (within 30 days) and survival (beyond 30 days). A multivariate model combining 11 clinical and hemodynamic variables accurately identified 86% of early deaths and 96% of survivors (93% overall accuracy) after acute myocardial infarction.
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