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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 model development improved risk prediction. The C-statistics (95% confidence intervals) of models 1, 2, and 3 were 0.667 (0.64, 0.70), 0.683 (0.65, 0.71), and 0.694 (0.66, 0.72), respectively (p?

SUBMITTER: Parrinello CM 

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

REPOSITORIES: biostudies-literature

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

Parrinello C M CM   Matsushita K K   Woodward M M   Wagenknecht L E LE   Coresh J J   Selvin E E  

Diabetes, obesity & metabolism 20160614 9


<h4>Aims</h4>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.<h4>Methods</h4>We included in the study 654 participants in the Atherosclerosis Risk in Communities (ARIC) study, a prospective cohort study, with diagnosed diabetes (visi  ...[more]

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