Arrhythmias & electrophysiology

Heart Failure Risk Assessment Using Biomarkers in Patients With Atrial Fibrillation: Analysis From COMBINE-AF

J Am Coll CardiolPublished Pooled individual patient data analysis of 3 randomised trials

Authors' conclusion

NT-proBNP, hs-cTnT, and GDF-15 contributed significantly and independently to the risk stratification for HF endpoints in patients with AF, with hs-cTnT being as important as NT-proBNP for HF risk stratification.

Study context

Population
Patients with atrial fibrillation (AF) in 3 randomised trials of direct oral anticoagulants (DOACs) vs warfarin (ARISTOTLE, ENGAGE AF-TIMI 48, RE-LY) with baseline biomarkers
Participants
32,041 patients
Comparison
Biomarkers added to clinical model for heart failure (HF) risk stratification
Outcome
Composite of:
  • Hospitalization for HF (HHF)
  • CV death (CVD)
Methodological detailsCOMBINE-AF cohort, Cox regression adjusted for clinical factors, weighted quantile sum regression
  • COMBINE-AF cohort
  • Cox regression adjusted for clinical factors
  • Weighted quantile sum regression

Pooled result

As reported in the abstract

CVD/HHF
NT-proBNP, HR per 1 SD (adjusted for clinical variables and all biomarkers)
1.68 (95% CI: 1.59-1.77)
High-sensitivity cardiac troponin T (hs-cTnT), HR per 1 SD (adjusted)
1.39 (95% CI: 1.33-1.44)
GDF-15, HR per 1 SD (adjusted)
1.20 (95% CI: 1.15-1.25)
C-index, clinical model vs clinical model + biomarkers
0.70 [95% CI: 0.69-0.71] to 0.77 [95% CI: 0.76-0.78]; likelihood ratio test, P < 0.001
Contribution to risk assessment (weighted quantile sum): NT-proBNP vs hs-cTnT
38% and 41%

Further pooled results

Hospitalization for HF (HHF) and HF-related death, individually; subgroups by history of HF, AF pattern, reduced or preserved LVEF

Results similar to cardiovascular death (CVD)/HHF

Original publication

Heart Failure Risk Assessment Using Biomarkers in Patients With Atrial Fibrillation: Analysis From COMBINE-AF. J Am Coll Cardiol. Published 2 September 2024. doi:10.1016/j.jacc.2024.07.023

Composed by AI from the published abstract and checked against it. How Briefs are made →

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