Published in

American Diabetes Association, Diabetes Care, 9(40), p. 1203-1209, 2017

DOI: 10.2337/dc17-0509

Links

Tools

Export citation

Search in Google Scholar

Cardiac Stress and Inflammatory Markers as Predictors of Heart Failure in Patients With Type 2 Diabetes: The ADVANCE Trial

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

OBJECTIVE This study examined the individual and combined effect of N-terminal pro-B-type natriuretic peptide (NT-proBNP), high-sensitivity cardiac troponin T (hs-cTnT), interleukin-6 (IL-6), and hs-CRP on the prediction of heart failure incidence or progression in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS A nested case-cohort study was conducted in 3,098 participants with type 2 diabetes in the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) trial. RESULTS A higher value of each biomarker was significantly associated with a higher risk of heart failure incidence or progression, after adjustment for major risk factors. The hazard ratios per 1-SD increase were 3.06 (95% CI 2.37, 3.96) for NT-proBNP, 1.50 (1.27, 1.77) for hs-cTnT, 1.48 (1.27, 1.72) for IL-6, and 1.32 (1.12, 1.55) for hs-CRP. The addition of NT-proBNP to the model including conventional risk factors meaningfully improved 5-year risk-predictive performance (C statistic 0.8162 to 0.8800; continuous net reclassification improvement [NRI] 73.1%; categorical NRI [<5%, 5–10%, >10% 5-year risk] 24.2%). In contrast, the addition of hs-cTnT, IL-6, or hs-CRP did not improve the prediction metrics consistently in combination or when added to NT-proBNP. CONCLUSIONS Only NT-proBNP strongly and consistently improved the prediction of heart failure in patients with type 2 diabetes beyond a wide range of clinical risk factors and biomarkers.