Development and validation of a comprehensive early risk prediction model for patients with undifferentiated acute chest pain.

ABSTRACT:

Aims

Existing risk scores for undifferentiated chest pain focus on excluding coronary events and do not represent a comprehensive risk assessment if an alternate serious diagnosis is present. This study aimed to develop and validate an all-inclusive risk prediction model among patients with undifferentiated chest pain.

Methods

We developed and validated a multivariable logistic regression model for a composite measure of early all-inclusive risk (defined as hospital admission excluding a discharge diagnosis of non-specific pain, 30-day all-cause mortality, or 30-day myocardial infarction [MI]) among adults assessed by emergency medical services (EMS) for non-traumatic chest pain using a large population-based cohort (January 2015 to June 2019). The cohort was randomly divide

SUBMITTER: Dawson LP 

PROVIDER: S-EPMC9062672 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature