中国人群冠心病最大心率和无氧阈心率预测的新旧公式

IF 2 3区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS BMC Cardiovascular Disorders Pub Date : 2024-11-09 DOI:10.1186/s12872-024-04307-x
Leilei Wang, Zihao Huang, Luxia Gao, Xi Chen, Deming Deng, Meiming Lin, Xiuyu Leng
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引用次数: 0

摘要

背景:预测冠心病(CHD)患者的最大心率(MHR)和无氧阈心率(HRAT)仍是一项重大挑战,尤其是在中国人群中。现有的最大心率预测公式主要是针对未服用β受体阻滞剂(BB)优化治疗药物的健康人设计的,对服用各种药物治疗的人的疗效有限。此外,HRAT 的预测也缺乏成熟的公式。本研究旨在制定 MHR 和 HRAT 的公式,评估历史 MHR 公式的准确性,并检查其与无氧阈值(AT)时心率测量值的相关性:在 2021 年至 2023 年期间,共招募了 170 名心脏病患者。方法:在 2021 年至 2023 年期间,招募了 170 名心脏病患者,根据使用 BB 的情况将患者分为不同组别。BB剂量转化为卡维地洛剂量。采用多元线性逐步回归分析来确定 MHR 和 HRAT 的预测因素,并根据先前的研究(年龄、性别、身高、体重、卡维地洛剂量、HRrest)纳入关键的患者变量。计算并比较了上述 MHR 和 HRAT 预测公式的平均绝对百分比误差(MAPE)。此外,还计算了不同公式中 MHR 预测 HRAT 的百分比:对于服用 BB 药物的患者,得出的 MHR 和 HRAT 简化公式分别为 176 - 1.2* 年龄 + 0.7*HRrest - 0.4* 体重和 98 - 0.6* 年龄 + 0.7*HRrest - 0.3* 体重。对于未服用 BB 药物的人,MHR 和 HRAT 的推导方程分别为 200 - 1.1* 年龄和 91 - 0.5* 年龄 + 0.5*HRrest 。新公式预测的结果与之前的公式有明显差异。新公式有助于更准确地预测患者运动时的 MHR,更科学地指导运动训练:结论:估算冠心病患者 MHR 和 HRAT 的新公式提高了之前公式的准确性。鉴于 BB 对交感神经活动的影响,MHR 和 HRAT 的预测公式得到了显著改善。
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Old and new equations for maximal and anaerobic threshold heart rate prediction in coronary heart disease in Chinese population.

Background: The prediction of maximal heart rate (MHR) and anaerobic threshold heart rate (HRAT) in patients with coronary heart disease (CHD), particularly among the Chinese population, remains a significant challenge. Existing equations for MHR prediction are primarily designed for healthy individuals not on medication for optimized β-blocker (BB) therapy, showing limited efficacy for individuals on various drug regimens. Moreover, the prediction of HRAT lacks established formulas. This study aims to develop equations for MHR and HRAT, assess the accuracy of historical MHR formulas, and examine their correlation with HR measurements at the anaerobic threshold (AT).

Methods: Among 2021 to 2023, 170 CHD patients were recruited. Patients were categorized into groups based on BB usage. BB dose was transformed into carvedilol dose. Multiple linear stepwise regression analysis was employed to identify predictors of MHR and HRAT, incorporating key patient variables according to prior studies (age, sex, height, weight, carvedilol dose, HRrest). The mean absolute percentage errors (MAPEs) were calculated and compared among abovementioned MHR and HRAT prediction formulas. Besides, the percentages of MHR in predicting HRAT among different formulas were calculated.

Results: For the patients with BB medication, the simplified equations derived for MHR and HRAT were 176 - 1.2*age + 0.7*HRrest - 0.4*weight and 98 - 0.6*age + 0.7*HRrest - 0.3*weight, respectively. For those without BB medication, the derived equations for MHR and HRAT were 200 - 1.1*age and 91 - 0.5*age + 0.5*HRrest, respectively. There are significant differences between the results predicted by the new formula and the prior formulas. The new formulas are helpful for predicting the MHR of patients during exercise more accurately and guiding exercise training more scientifically.

Conclusions: The new equations for estimating MHR and HRAT in CHD patients enhance the accuracy of prior formulas. Given the BB impact on sympathetic nerve activity, the predictive formulas for MHR and HRAT were significantly improved.

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来源期刊
BMC Cardiovascular Disorders
BMC Cardiovascular Disorders CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
3.50
自引率
0.00%
发文量
480
审稿时长
1 months
期刊介绍: BMC Cardiovascular Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of disorders of the heart and circulatory system, as well as related molecular and cell biology, genetics, pathophysiology, epidemiology, and controlled trials.
期刊最新文献
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