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
| Original language | English (US) |
|---|---|
| Journal | Diabetes, Obesity and Metabolism |
| DOIs | |
| State | Accepted/In press - 2016 |
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Keywords
- Cardiovascular disease
- Diabetes complications
- Population study
- Type 2 diabetes
ASJC Scopus subject areas
- Internal Medicine
- Endocrinology
- Endocrinology, Diabetes and Metabolism
Cite this
Risk prediction of major complications in individuals with diabetes : The Atherosclerosis Risk in Communities Study. / Parrinello, C. M.; Matsushita, K.; Woodward, M.; Wagenknecht, L. E.; Coresh, J.; Selvin, E.
In: Diabetes, Obesity and Metabolism, 2016.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Risk prediction of major complications in individuals with diabetes
T2 - The Atherosclerosis Risk in Communities Study
AU - Parrinello, C. M.
AU - Matsushita, K.
AU - Woodward, M.
AU - Wagenknecht, L. E.
AU - Coresh, J.
AU - Selvin, E.
PY - 2016
Y1 - 2016
N2 - 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
AB - 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
KW - Cardiovascular disease
KW - Diabetes complications
KW - Population study
KW - Type 2 diabetes
UR - http://www.scopus.com/inward/record.url?scp=84979031794&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84979031794&partnerID=8YFLogxK
U2 - 10.1111/dom.12686
DO - 10.1111/dom.12686
M3 - Article
AN - SCOPUS:84979031794
JO - Diabetes, Obesity and Metabolism
JF - Diabetes, Obesity and Metabolism
SN - 1462-8902
ER -