Development of an optimized risk score to predict short-term death among acute myocardial infarction patients in rural China.

ABSTRACT:

Background

Risk stratification of patients with acute myocardial infarction (AMI) is of great clinical significance.

Hypothesis

The present study aimed to establish an optimized risk score to predict short-term (6-month) death among rural AMI patients from China.

Methods

We enrolled 6581 AMI patients and extracted relevant data. Patients were divided chronologically into a derivation cohort (n = 5539), to establish the multivariable risk prediction model, and a validation cohort (n = 1042), to validate the risk score.

Results

Six variables were identified as independent predictors of short-term death and were used to establish the risk score: age, Killip class, blood glucose, creatinine, pulmonary artery systolic pressure, and percutaneous coronary intervention

SUBMITTER: Wang SJ 

PROVIDER: S-EPMC8119840 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature