Prediction of major adverse cardiac, cerebrovascular events in patients with diabetes after acute coronary syndrome.

ABSTRACT:

Background and objectives

The risk of major adverse cardiac and cerebrovascular events following acute coronary syndrome is increased in people with diabetes. Predicting out-of-hospital outcomes upon follow-up remains difficult, and no simple, well-validated tools exist for this population at present. We aim to evaluate several factors in a competing risks model for actionable evaluation of the incidence of major adverse cardiac and cerebrovascular events in diabetic outpatients following acute coronary syndrome.

Methods

Retrospective analysis of consecutive patients admitted for acute coronary syndrome in two centres. A Fine-Gray competing risks model was adjusted to predict major adverse cardiac and cerebrovascular events and all-cause mortality. A point-based score is pre

SUBMITTER: Baluja A 

PROVIDER: S-EPMC7510367 | biostudies-literature | 2020 Jan-Feb

REPOSITORIES: biostudies-literature