Risk prediction of major complications in individuals with diabetes: the Atherosclerosis Risk in Communities Study.

ABSTRACT:

Aims

To develop a prediction equation for 10-year risk of a combined endpoint (incident coronary heart disease, stroke, heart failure, chronic kidney disease, lower extremity hospitalizations) in people with diabetes, using demographic and clinical information, and a panel of traditional and non-traditional biomarkers.

Methods

We included in the study 654 participants in the Atherosclerosis Risk in Communities (ARIC) study, a prospective cohort study, with diagnosed diabetes (visit 2; 1990-1992). Models included self-reported variables (Model 1), clinical measurements (Model 2), and glycated haemoglobin (Model 3). Model 4 tested the addition of 12 blood-based biomarkers. We compared models using prediction and discrimination statistics.

Results

Successive stages of mo

SUBMITTER: Parrinello CM 

PROVIDER: S-EPMC4993670 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature