Separating Risk Prediction: Myocardial Infarction vs. Ischemic Stroke in 6.2M Screenings.

ABSTRACT:

Background

Traditional cardiovascular disease risk prediction models generate a combined risk assessment for myocardial infarction (MI) and ischemic stroke (IS), which may inadequately reflect the distinct etiologies and disparate risk factors of MI and IS. We aim to develop prediction models that separately estimate the risks of MI and IS.

Methods

Our analysis included 6,242,404 individuals over 40 years old who participated in a cardiovascular health screening examination in 2009. Potential predictors were selected based on a literature review and the available data. Cox proportional hazards models were used to construct 5-year risk prediction models for MI, and IS. Model performance was assessed through discrimination and calibration.

Results

During a follow-up of

SUBMITTER: Jung W 

PROVIDER: S-EPMC11507110 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature