Ontology highlight
ABSTRACT: Objectives
Patients admitted to hospital with acute myocardial infarction (AMI) have considerable variability in in-hospital risks, resulting in higher demands on healthcare resources. Simple risk-assessment tools are important for the identification of patients with higher risk to inform clinical decisions. However, few risk assessment tools have been built that are suitable for populations with AMI in China. We aim to develop and validate a risk prediction model, and further build a risk scoring system.Design
Data from a nationally representative retrospective study was used to develop the model. Patients from a prospective study and another nationally representative retrospective study were both used for external validation.Setting
161 nationally representative h
SUBMITTER: Wu C
PROVIDER: S-EPMC8162080 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature