Why the study?
Do distinct comorbidity phenogroups predict in-hospital outcomes in patients admitted with acute myocardial infarction?
Do distinct comorbidity phenogroups predict in-hospital outcomes in patients admitted with acute myocardial infarction?
Identifying specific comorbidity clusters in patients with acute myocardial infarction has predictive value for in-hospital outcomes.
Comorbidity phenogroups may refine in-hospital risk stratification in AMI; hypothesis-generating and requires prospective validation before practice change.
We identified distinct comorbidity phenogroups that predicted in-hospital outcomes in patients admitted with AMI. Some conditions overlapped across classes, driven by the high comorbidity burden. Our findings demonstrate the predictive value and potential clinical utility of identifying patients with AMI with specific comorbidity clustering.
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Zghebi et al. (2023) studied this question.
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