Quantifying cardiometabolic risk using modifiable non-self-reported risk factors

Published

Journal Article

Background Sensitive general cardiometabolic risk assessment tools of modifiable risk factors would be helpful and practical in a range of primary prevention interventions or for preventive health maintenance. Purpose To develop and validate a cumulative general cardiometabolic risk score that focuses on non-self-reported modifiable risk factors such as glycosylated hemoglobin (HbA1c) and BMI so as to be sensitive to small changes across a span of major modifiable risk factors, which may not individually cross clinical cut-off points for risk categories. Methods We prospectively followed 2,359 cardiovascular disease (CVD)-free subjects from the Framingham offspring cohort over a 14-year follow-up. Baseline (fifth offspring examination cycle) included HbA1c and cholesterol measurements. Gender-specific Cox proportional hazards models were considered to evaluate the effects of non-self-reported modifiable risk factors (blood pressure, total cholesterol, high-density lipoprotein cholesterol, smoking, BMI, and HbA1c) on general CVD risk. We constructed 10-year general cardiometabolic risk score functions and evaluated its predictive performance in 2012-2013. Results HbA1c was significantly related to general CVD risk. The proposed cardiometabolic general CVD risk model showed good predictive performance as determined by cross-validated discrimination (male C-index=0.703, 95% CI=0.668, 0.734; female C-index=0.762, 95% CI=0.726, 0.801) and calibration (lack-of-fit chi-square=9.05 [p=0.338] and 12.54 [p=0.128] for men and women, respectively). Conclusions This study presents a risk factor algorithm that provides a convenient and informative way to quantify cardiometabolic risk on the basis of modifiable risk factors that can motivate an individual's commitment to prevention and intervention. © 2014 American Journal of Preventive Medicine.

Full Text

Duke Authors

Cited Authors

  • Marino, M; Li, Y; Pencina, MJ; D'Agostino, RB; Berkman, LF; Buxton, OM

Published Date

  • January 1, 2014

Published In

Volume / Issue

  • 47 / 2

Start / End Page

  • 131 - 140

Electronic International Standard Serial Number (EISSN)

  • 1873-2607

International Standard Serial Number (ISSN)

  • 0749-3797

Digital Object Identifier (DOI)

  • 10.1016/j.amepre.2014.03.006

Citation Source

  • Scopus