Key result
An echocardiography-based risk model accurately predicted in-hospital mortality in patients with acute coronary syndrome after percutaneous coronary intervention (validation AUROC 0.78).
Why the study?
Can a risk model based on echocardiographic parameters predict in-hospital mortality in patients with acute coronary syndrome undergoing percutaneous coronary intervention?
Population
2,984 patients with acute coronary syndrome undergoing percutaneous coronary intervention
Design
Cohort
Follow-up
in-hospital
Authors
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May inform post-PCI risk stratification in ACS; hypothesis-generating and requires prospective validation before practice change.
Cohort (n=2,984)
Can a risk model based on echocardiographic parameters predict in-hospital mortality in patients with acute coronary syndrome undergoing percutaneous coronary intervention?
Relative Risk: 0.892 (95% CI 0.854–0.932)
p-value: p=<0.0005
A risk model incorporating four standard echocardiographic parameters can accurately predict in-hospital mortality in patients with acute coronary syndrome undergoing PCI.
Sladojević et al. (2014) conducted a cohort in Acute coronary syndrome (n=2,984). Echocardiographic parameters was evaluated on In-hospital mortality (RR 0.892, 95% CI 0.854-0.932, p=<0.0005). An echocardiography-based risk model accurately predicted in-hospital mortality in patients with acute coronary syndrome after percutaneous coronary intervention (validation AUROC 0.78).
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