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Published on: July 20, 2022
Heart Failure Risk Assessment Using Biomarkers in Patients With Atrial Fibrillation: Analysis From COMBINE-AF
Paul M Haller1, Petr Jarolim2, Michael G Palazzolo3
1TIMI Study Group, Division of Cardiovascular Medicine, Brigham & Women's Hospital, and Harvard Medical School, Boston, Massachusetts, USA; Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany. Electronic address: https://twitter.com/PaulMHaller.
Insights
Biomarkers including N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hs-cTnT) significantly improve heart failure (HF) risk prediction in patients with atrial fibrillation (AF). These markers help identify high-risk individuals for better management.
Area of Science:
- Cardiology
- Biomarker Research
- Atrial Fibrillation Management
Background:
- Heart failure (HF) is a significant comorbidity in patients with atrial fibrillation (AF).
- Accurate risk stratification for HF in AF patients is crucial for clinical decision-making.
- Existing risk models may not fully capture the risk of HF development or progression in this population.
Purpose of the Study:
- To evaluate the incremental prognostic value of NT-proBNP, hs-cTnT, and GDF-15 for HF risk stratification in patients with AF.
- To determine the independent contribution of these biomarkers to predicting HF hospitalization or cardiovascular death.
- To compare the performance of these biomarkers in identifying patients at high risk for HF events.
Main Methods:
- Pooled individual patient data from three major randomized trials (ARISTOTLE, ENGAGE AF-TIMI 48, RE-LY) within the COMBINE-AF cohort.
- Inclusion of 32,041 patients with available baseline biomarker data.
- Analysis using Cox regression adjusted for clinical factors and weighted quantile sum regression to assess biomarker contributions to composite endpoints (HF hospitalization/cardiovascular death) and secondary endpoints (HF hospitalization, HF-related death).
Main Results:
- Higher levels of NT-proBNP, hs-cTnT, and GDF-15 were associated with a graded increase in the risk of cardiovascular death/HF hospitalization, HF hospitalization, and HF-related death.
- All three biomarkers (NT-proBNP, hs-cTnT, GDF-15) independently predicted cardiovascular death/HF hospitalization after adjustment for clinical variables and other biomarkers.
- Addition of biomarkers significantly improved the discrimination of the clinical risk model (c-index increased from 0.70 to 0.77).
- NT-proBNP and hs-cTnT demonstrated similar, substantial contributions (38% and 41%) to risk assessment for cardiovascular death/HF hospitalization, while GDF-15 had a lesser but significant contribution.
Conclusions:
- NT-proBNP, hs-cTnT, and GDF-15 are significant and independent predictors of HF outcomes in patients with AF.
- hs-cTnT is as important as NT-proBNP in stratifying HF risk within this patient group.
- These biomarkers can potentially be utilized in clinical practice to identify patients with AF at low or high risk for HF, guiding further management strategies.
Background:
Heart failure (HF) is common among patients with atrial fibrillation (AF), and accurate risk assessment is clinically important.
Objectives:
The goal of this study was to investigate the incremental prognostic performance of N-terminal pro-B-type natriuretic peptide (NT-proBNP), high-sensitivity cardiac troponin T (hs-cTnT), and growth differentiation factor (GDF)-15 for HF risk stratification in patients with AF.
Methods:
Individual patient data from 3 large randomized trials comparing direct oral anticoagulants (DOACs) with warfarin (ARISTOTLE [Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation], ENGAGE AF-TIMI 48 [Effective Anticoagulation With Factor Xa Next Generation in Atrial Fibrillation-Thrombolysis In Myocardial Infarction 48], and RE-LY [Randomized Evaluation of Long-Term Anticoagulation Therapy]) from the COMBINE-AF (A Collaboration Between Multiple Institutions to Better Investigate Non-Vitamin K Antagonist Oral Anticoagulant Use in Atrial Fibrillation) cohort were pooled; all patients with available biomarkers at baseline were included. The composite endpoint was hospitalization for HF (HHF) or cardiovascular death (CVD), and secondary endpoints were HHF and HF-related death. Cox regression was used, adjusting for clinical factors, and interbiomarker correlation was addressed using weighted quantile sum regression analysis.
Results:
In 32,041 patients, higher biomarker values were associated with a graded increase in absolute risk for CVD/HHF, HHF, and HF-related death. Adjusting for clinical variables and all biomarkers, NT-proBNP (HR per 1 SD: 1.68; 95% CI: 1.59-1.77), hs-cTnT (HR: 1.39; 95% CI: 1.33-1.44), and GDF-15 (HR: 1.20; 95% CI: 1.15-1.25) were significantly associated with CVD/HHF. The discrimination of the clinical model improved significantly upon addition of the biomarkers (c-index: 0.70 [95% CI: 0.69-0.71] to 0.77 [95% CI: 0.76-0.78]; likelihood ratio test, P < 0.001). Using weighted quantile sum regression analysis, the contribution to risk assessment was similar for NT-proBNP and hs-cTnT for CVD/HHF (38% and 41%, respectively); GDF-15 provided a statistically significant but lesser contribution to risk assessment. Results were similar for HHF and HF-related death, individually, and across key subgroups of patients based on a history of HF, AF pattern, and reduced or preserved left ventricular ejection fraction.
Conclusions:
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. Our findings support a possible future use of these biomarkers to distinguish patients with AF at low or high risk for HF.
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