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ABSTRACT: Background
The prevalence of multimorbidity in patients with acute myocardial infarction (AMI) is increasing. It is unclear whether comorbidities cluster into distinct phenogroups and whether are associated with clinical trajectories.Methods
Survey-weighted analysis of the United States Nationwide Inpatient Sample (NIS) for patients admitted with a primary diagnosis of AMI in 2018. In-hospital outcomes included mortality, stroke, bleeding, and coronary revascularisation. Latent class analysis of 21 chronic conditions was used to identify comorbidity classes. Multivariable logistic and linear regressions were fitted for associations between comorbidity classes and outcomes.Results
Among 416,655 AMI admissions included in the analysis, mean (±SD) age was 67 (±13) year
SUBMITTER: Zghebi SS
PROVIDER: S-EPMC10602297 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature