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ABSTRACT: Background
In the potent new antiplatelet era, it is important issue how to balance the ischemic risk and the bleeding risk. However, previous risk models have been developed separately for in-hospital mortality and major bleeding risk. Therefore, we aimed to develop and validate a novel combined model to predict the combined risk of in-hospital mortality and major bleeding at the same time for initial decision making in patients with acute myocardial infarction (AMI).Methods
Variables from the Korean Acute Myocardial Infarction Registry (KAMIR) - National Institute of Health (NIH) database were used to derive (n = 8955) and validate (n = 3838) a multivariate logistic regression model. Major adverse cardiovascular events (MACEs) were defined as in-hospital death and major b
SUBMITTER: Kim HN
PROVIDER: S-EPMC7907424 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature