Ontology highlight
ABSTRACT: Background
Perioperative cardiovascular events are a leading cause of morbidity and mortality after noncardiac surgery. We propose a simplified method for perioperative risk stratification.Methods
In a retrospective cohort study we identified patients who underwent noncardiac surgery between 2009 and 2015 in the US National Surgical Quality Improvement Program. Multivariable logistic regression models adjusted for age, sex, race, and surgery type were generated to estimate the effect of traditional cardiovascular risk factors (hypertension, diabetes mellitus, current smoking) on odds of perioperative myocardial infarction (MI). Time to event analysis was conducted using competing risk analysis, with MI as the outcome event and death as the competing risk.Results
A t
SUBMITTER: Wilcox T
PROVIDER: S-EPMC9960189 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature