The CAMI-score: A Novel Tool derived From CAMI Registry to Predict In-hospital Death among Acute Myocardial Infarction Patients.
Ontology highlight
ABSTRACT: Risk stratification of patients with acute myocardial infarction (AMI) is of clinical significance. Although there are many existing risk scores, periodic update is required to reflect contemporary patient profile and management. The present study aims to develop a risk model to predict in-hospital death among contemporary AMI patients as soon as possible after admission. We included 23417 AMI patients from China Acute Myocardial Infarction (CAMI) registry from January 2013 to September 2014 and extracted relevant data. Patients were divided chronologically into a derivation cohort (n = 17563) to establish the multivariable logistic regression model and a validation cohort (n = 5854) to validate the risk score. Sixteen variables were identified as independent predictors of in-hospital deat
SUBMITTER: Song C
PROVIDER: S-EPMC5998057 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature
ACCESS DATA