Clinical value of using heart rate variability biofeedback before elective CT coronary angiography to reduce heart rate and the need for beta-blockers

Author:

Langguth Patrick1,Wolf Carmen1,Sedaghat Sam2,Frank Johanne1,Both Marcus1,Jansen Olav1,Ravesh Mona Salehi1,Lebenatus Annett1

Affiliation:

1. University Hospital Schleswig-Holstein, Campus Kiel

2. University of California San Diego

Abstract

Abstract Objectives: The value of biofeedback before elective coronary computed tomography angiography (CCTA) to reduce patients’ heart rates (HR) was investigated in the current work. Methods: 60 patients who received CCTA to exclude coronary artery disease were included in our study and separated into two groups: with biofeedback (W-BF) and without biofeedback (WO-BF). The W-BF group used a biofeedback device for 15 min before CCTA. HR was determined in each patient at five measurement time points (MTP): during the pre-examination interview (MTP1), positioning on the CT patient table (MTP2), immediately before CCTA (MTP3), CCTA image acquisition (MTP4), and after completing CCTA (MTP5). If necessary, beta-blockers were administered in both groups after MTP3 until a HR of less than 65 bpm was achieved. Two board-certified radiologists subsequently assessed the image quality and analyzed the findings. Results: Overall, the need for beta-blockers was significantly lower in patients in W-BF group than in WO-BF group (p=0.032). In patients with a HR of 81-90, beta-blockers were not required in 4 of 6 cases in the W-BF group, whereas in the WO-BF group all patients needed beta-blockers (p=0.03). We found a significant decrease in HR between MTP1 and MTP2 in W-BF as compared to WO-BF. There was no significant difference between the W-BF and WO-BF groups regarding image quality (p=0.179). Conclusion: By using biofeedback prior to elective CCTA beta-blocker use can be significantly decreased due to effective reduction of HR, especially in patients with a HR above 80 bpm, without compromising CT image quality and analysis.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3