Ontology highlight
ABSTRACT: Objectives
To develop parsimonious models of in-hospital mortality and morbidity risk after perioperative acute myocardial infarction (AMI).Design
Retrospective data analysis.Setting
National Inpatient Sample (2008-2013), a 20% sample of all non-federal in-patient hospitalizations in the United States.Participants
Patients 45 years or older who experienced perioperative AMI during elective admission for noncardiac surgery.Interventions
The study used a mixed principal components analysis and multivariate logistic regression to identify risk factors for in-hospital mortality after perioperative AMI. A model incorporating only preoperative risk factors, defined by the Revised Cardiac Risk Index (RCRI), was compared with a "full risk factor" model, inco
SUBMITTER: Ranjeva SL
PROVIDER: S-EPMC7867597 | biostudies-literature | 2021 Mar
REPOSITORIES: biostudies-literature