Key result
A biomarker-based risk score incorporating NT-proBNP, prior HF, and hsTnT predicted heart failure hospitalization in T2DM (validation C-index 0.84; 95% CI 0.81-0.86).
Why the study?
Heart failure is an impactful complication of type 2 diabetes mellitus, prompting the development and validation of a risk score for heart failure hospitalization incorporating biomarkers and clinical factors.
Does a biomarker-based risk score identify patients with type 2 diabetes who derive greater benefit from dapagliflozin for the prevention of hospitalization for heart failure?
Observational (n=13,357)
Yes
Does a biomarker-based risk score identify patients with type 2 diabetes who derive greater benefit from dapagliflozin for the prevention of hospitalization for heart failure?
Effect estimate: C-index 0.84 (95% CI 0.81-0.86)
p-value: p=<0.001
A novel risk score incorporating NT-proBNP, hsTnT, and prior heart failure accurately predicts heart failure hospitalization in patients with type 2 diabetes and identifies those who derive the greatest absolute benefit from dapagliflozin.
OBJECTIVE Heart failure (HF) is an impactful complication of type 2 diabetes mellitus (T2DM). We aimed to develop and validate a risk score for hospitalization for HF (HHF) incorporating biomarkers and clinical factor(s) in patients with T2DM. RESEARCH DESIGN AND METHODS We derived a risk score for HHF using clinical data, high-sensitivity troponin T (hsTnT), and N-terminal prohormone of B-type natriuretic peptide (NT-proBNP) from 6,106 placebo-treated patients with T2DM in SAVOR-TIMI 53 (Saxagliptin Assessment of Vascular Outcomes Recorded in Patients with Diabetes Mellitus–Thrombolysis in Myocardial Infarction 53). Candidate variables were assessed using Cox regression. The strongest indicators of HHF risk were included in the score using integer weights. The score was externally validated in 7,251 placebo-treated patients in DECLARE-TIMI 58 (Dapagliflozin Effect on CardiovascuLAR Events–Thrombolysis in Myocardial Infarction 58). The effect of dapagliflozin on HHF was assessed by risk category in DECLARE-TIMI 58. RESULTS The strongest indicators of HHF risk were NT-proBNP, prior HF, and hsTnT (each P < 0.001). A risk score using these three variables identified a gradient of HHF risk (P-trend <0.001) in the derivation and validation cohorts, with C-indices of 0.87 (95% CI, 0.84–0.89) and 0.84 (0.81–0.86), respectively. Whereas there was no significant effect of dapagliflozin versus placebo on HHF in the low-risk group (hazard ratio [HR] 0.98 [95% CI 0.50–1.92]), dapagliflozin significantly reduced HHF in the intermediate-, high-, and very-high-risk groups (HR 0.64 [0.43–0.95], 0.63 [0.43–0.94], and 0.72 [0.54–0.96], respectively). Correspondingly, absolute risk reductions (95% CI) increased across these latter 3 groups: 1.0% (0.0–1.9), 3.0% (0.7–5.3), and 4.4% (−0.2 to 8.9) (P-trend <0.001). CONCLUSIONS We developed and validated a risk score for HHF in T2DM that incorporated NT-proBNP, prior HF, and hsTnT. The risk score identifies patients at higher risk of HHF who derive greater absolute benefit from dapagliflozin.
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Berg et al. (2021) conducted an observational in Type 2 diabetes mellitus (n=13,357). Biomarker-based risk score vs. Lower risk categories was evaluated on Hospitalization for heart failure (HHF) (C-index 0.84, 95% CI 0.81-0.86, p=<0.001). A biomarker-based risk score incorporating NT-proBNP, prior HF, and hsTnT predicted heart failure hospitalization in T2DM (validation C-index 0.84; 95% CI 0.81-0.86).
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