Key result
Risk stratification for arrhythmic events and cardiac mortality in post-MI patients is improved by combining multiple variables and using dichotomy limits different from univariate analyses.
Why the study?
Do adjusted dichotomy limits for combinations of prognostic indicators improve the prediction of arrhythmic events and cardiac mortality in survivors of acute myocardial infarction compared to univariate limits?
Cohort (n=439)
Do adjusted dichotomy limits for combinations of prognostic indicators improve the prediction of arrhythmic events and cardiac mortality in survivors of acute myocardial infarction compared to univariate limits?
Risk stratification after myocardial infarction is improved by using combinations of prognostic variables with dichotomy limits adjusted for the multivariate setting, rather than relying on univariate limits.
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May refine post-MI arrhythmic risk stratification with multivariate limits; leaves open prospective validation before practice change.
Redwood et al. (1997) conducted a cohort in Acute myocardial infarction (n=439). Multivariate prognostic indicators (LVEF, SAECG, HRV, mean HR, ventricular extrasystoles) vs. Univariate prognostic indicators was evaluated on Arrhythmic events and cardiac mortality. Risk stratification for arrhythmic events and cardiac mortality in post-MI patients is improved by combining multiple variables and using dichotomy limits different from univariate analyses.
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