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. Author manuscript; available in PMC: 2013 Jul 1.
Published in final edited form as: Circ Heart Fail. 2012 May 15;5(4):422–429. doi: 10.1161/CIRCHEARTFAILURE.111.964841

Table 3.

Discrimination of several models optimized to predict the 10-year risk of heart failure.

Sample Optimism corrected Areas Under the ROC Curve
Framingham (V1) Health-ABC (V1) ARIC
From published
beta
Derived
beta
From published
beta
Derived
beta
Basic V1 Basic V4 Basic V4 with
NT-proBNP
All 0.614 0.762 0.785 0.783 0.797 0.772 0.805
Male 0.727 0.764 0.772 0.773 0.782 0.771 0.812
Female 0.700 0.766 0.790 0.790 0.813 0.770 0.799

V1 and V4 refers to use of elements from the ARIC cohort’s field center visits i.e., visit 1 (1987–89) and visit 4 (1996–98), respectively. V4 was used as baseline in estimations involving NT-proBNP. The number of participants when using V1 = 13555, and using V4 = 10103.

The variables included in the Framingham HF risk score9 are age, gender, CHD, diabetes, ECG-based left ventricular hypertrophy, valve disease, heart rate, and systolic blood pressure. Health ABC score10,11 includes the Framingham study variable with following differences: added serum albumin, serum creatinine, and smoking status; replaced glucose for diabetes; removed valve disease. The ARIC basic HF risk score includes age, race, gender, CHD, diabetes, systolic blood pressure, blood pressure medication use, heart rate, smoking status, and body mass index. AUCs are corrected for optimism.

The GB statistics for all the models presented above was <0.01.