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Usefulness of B-Type Natriuretic Peptide for Predicting the Risk of Stroke in Patients With Heart Failure With
Xiao Liu1,2,3, Ayiguli Abudukeremu1,2, Peng Yu4
1Department of Cardiology Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University Guangzhou China.
Insights
B-type natriuretic peptide (BNP) levels predict stroke risk in heart failure with preserved ejection fraction (HFpEF) patients. Adding BNP to existing scores significantly improves stroke prediction, highlighting its value.
Area of Science:
- Cardiology
- Neurology
- Biomarker Research
Background:
- B-type natriuretic peptide (BNP) is a known prognostic biomarker in heart failure with preserved ejection fraction (HFpEF).
- The predictive capability of BNP for stroke risk in HFpEF patients remains unclear.
Purpose of the Study:
- To assess the association between baseline BNP levels and the risk of stroke in HFpEF patients.
- To evaluate the incremental predictive value of BNP for stroke when added to established risk scores.
Main Methods:
- Analysis of 799 HFpEF patients from the TOPCAT trial.
- Cox proportional hazard models used to assess BNP's association with stroke risk.
- C-index and reclassification metrics used to evaluate predictive performance.
Main Results:
- Higher baseline BNP levels were significantly associated with an increased risk of stroke (HR, 3.29).
- BNP demonstrated moderate stroke prediction performance (C-index, 0.67).
- Incorporating BNP into CHADS₂, CHA₂DS₂-VASc, and R₂CHADS₂ scores substantially improved stroke prediction accuracy.
Conclusions:
- BNP is a significant independent predictor of stroke in HFpEF patients.
- BNP can enhance the accuracy of existing stroke risk prediction models for HFpEF.
- BNP may serve as a valuable biomarker for identifying HFpEF patients at high risk of stroke.
Abstract:
Background B-type natriuretic peptide (BNP) is a well-known biomarker for prognosis in heart failure with patients with preserved ejection fraction. However, the clinical predictive ability of BNP for the risk of stroke in HFpEF is not clear. Methods and Results A total of 799 patients with HFpEF from the TOPCAT (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist) trial were included. Association of baseline BNP with risk of stroke was assessed using the Cox proportional hazard model. The discriminatory ability of BNP was expressed using the C index. The improvement in 5-year stroke prediction was assessed by C statistic, categorical net reclassification improvement index, and relative integrated discrimination improvement. A total of 34 (4.3%) patients among the 799 patients with HFpEF experienced stroke events over a median of 2.85 years of follow-up. The stroke group showed a higher BNP level than the nonstroke group (375 pg/mL versus 241 pg/mL, respectively; P=0.006). Higher BNP levels were associated with increased risk of stroke after multivariable adjustment (hazard ratio, 3.29 [95% CI, 1.51-7.16]) and had a moderate performance for stroke prediction (C index, 0.67). Adding BNP to CHADS2/CHA2DS2-VASc/R2CHADS2 scores improved their predictive value for stroke (CHADS2: C index, 0.67; BNP+CHADS2: C index, 0.77; net reclassification improvement, 40.9%; integrated discrimination improvement, 3.0%; CHA2DS2-VASc: C index, 0.64; BNP+CHA2DS2-VASc: C index, 0.74; net reclassification improvement, 41.4%; integrated discrimination improvement, 2.2%; R2CHADS2: C index, 0.70; BNP+R2CHADS2: C index, 0.78; net reclassification improvement, 40.9%; integrated discrimination improvement, 3.2%). Conclusions BNP is associated with an increased risk of stroke in patients with HFpEF and may be a valuable biomarker for stroke prediction in HFpEF.
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