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ABSTRACT: Background
Cardiovascular prognosis related to type 2 diabetes may not be adequately captured by information on comorbid conditions such as obesity and hypertension. To inform the cardiovascular prognosis among diabetic individuals, we conducted phenotyping using a clustering approach based on clinical data, echocardiographic indices and biomarkers.Methods
We performed a cluster analysis on clinical, biochemical and echocardiographic variables from 529 Blacks with diabetes in the Jackson Heart Study. An association between identified clusters and major adverse cardiovascular events (MACE- composite of coronary heart disease, stroke, heart failure and atrial fibrillation) was assessed using Cox proportional hazards modeling.Results
Cluster analysis separated individu
SUBMITTER: Echouffo-Tcheugui JB
PROVIDER: S-EPMC9161484 | biostudies-literature | 2022 Jun
REPOSITORIES: biostudies-literature