Predicting risk of cardiovascular events 1 to 3 years post-myocardial infarction using a global registry.

ABSTRACT:

Background

Risk prediction tools are lacking for patients with stable disease some years after myocardial infarction (MI).

Hypothesis

A practical long-term cardiovascular risk index can be developed.

Methods

The long-Term rIsk, Clinical manaGement and healthcare Resource utilization of stable coronary artery dISease in post-myocardial infarction patients prospective global registry enrolled patients 1 to 3 years post-MI (369 centers; 25 countries), all with ≥1 risk factor (age ≥65 years, diabetes mellitus requiring medication, second prior MI, multivessel coronary artery disease, or chronic non-end-stage kidney disease [CKD]). Self-reported health was assessed with EuroQoL-5 dimensions. Multivariable Poisson regression models were used to determine key predictors of t

SUBMITTER: Pocock SJ 

PROVIDER: S-EPMC6954378 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature