Key result
A nine-factor risk model predicts in-hospital mortality with ~88% accuracy in AMI.
Why the study?
Treatment trends for AMI have changed due to new medications and universal PCI use, necessitating updated predictors of in-hospital mortality in Korean patients.
Cohort (n=13,104)
Yes
A risk prediction model based on nine clinical and procedural factors accurately predicts in-hospital mortality in Korean patients with acute myocardial infarction.
No takes yet. Share an insight, caveat, or question.
These predictors may aid Korean AMI risk stratification; leaves open prospective validation and outcome impact beyond this registry.
Yang et al. (2019) conducted a cohort in Acute Myocardial Infarction (n=13,104). Clinical and angiographic risk factors vs. Absence of risk factors was evaluated on In-hospital mortality. A predictive model incorporating nine clinical and angiographic risk factors, including old age, high Killip class, and low TIMI flow, predicted in-hospital mortality with 88.3% accuracy in Korean patients with acute myocardial infarction.
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