Abstract

Abstract Background Beta-blockers are widely used to improve clinical outcomes in heart failure (HF) patients. However, the effects of beta-blockers on clinical outcomes in those who have coexisted atrial fibrillation (AF) remains uncertain. Purpose We investigated the associations between beta-blockers and clinical outcomes according to discharge heart rate. Methods The study cohort included 1631 HF patients hospitalized primarily with AF, which was from the China PEACE Prospective Heart Failure Study. Clinical outcome was 1-year combined all-cause mortality and HF hospitalization after discharge. The associations between beta-blockers and clinical outcome were assessed using Cox proportional hazard and standardization mortality weighting regression models, with stratified discharge heart rate group predefined by restricted cubic spline. Results The median age was 68 (IQR: 60- 77) years, 41.9% were women, discharge heart rate was (median (IQR)) 75 (69- 84) beats per minute (bpm), and 60.2% received beta-blockers at discharge. According to the result of restricted cubic spline plot, these patients were divided into 3 groups: lowest <65 bpm, middle 65–86 bpm and highest ≥87 bpm (Fig.1). In the Cox proportional hazard analysis, a significant interaction between discharge heart rate and beta-blocker use was observed (P<0.001 for interaction). Stratified analysis showed beta-blocker prescription at discharge was associated with reduced risk for clinical outcomes in patients with high heart rates (hazard ratio 0.336, 95% CI: 0.144–0.786, p=0.012) but not in those with lowest and middle heart rates (hazard ratio: 1.32; 95% CI, 0.95–1.63; hazard ratio: 1.02; 95% CI, 0.68–1.55, respectively). Conclusion The associations between beta-blockers and clinical outcomes may be significantly influenced by baseline heart rate. Hospitalized HF patients with AF benefit the most from beta-blockers use if they had high heart rate (≥87 bpm) at discharge. Figure 1 Funding Acknowledgement Type of funding source: Other. Main funding source(s): This work was supported by the National Key Research and Development Program (2017YFC1310803) from the Ministry of Science and Technology of China; the CAMS Innovation Fund for Medical Science (2017-I2M-B&R-02); the 111 Project from the Ministry of Education of China (B16005).

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