五次坐立测试可预测负荷超声心动图检查时可达到的运动强度。

European heart journal. Imaging methods and practice Pub Date : 2025-03-13 eCollection Date: 2025-01-01 DOI:10.1093/ehjimp/qyaf030
Yasuhide Mochizuki, Yui Kuroki, Mina Shibakai, Ayaka Oda, Sakiko Gohbara, Yumi Yamamoto, Saaya Ichikawa-Ogura, Rumi Hachiya, Eiji Toyosaki, Hiroto Fukuoka, Toshiro Shinke
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引用次数: 0

摘要

目的:运动应激超声心动图(ESE)在评估心力衰竭和瓣膜疾病方面变得越来越重要;然而,确定最佳运动强度仍然具有挑战性,特别是对身体疾病患者。方法和结果:共94例计划进行ESE的患者入组研究。身体能力的评估采用五次坐立测试(5-STS)、临床虚弱量表、五个组成部分的缩写,即力量、辅助行走、从椅子上站起来、爬楼梯和跌倒(SARC-F)问卷、握力测试和生物电阻抗分析。在衍生队列(n = 43)中,我们确定了达到25 W负荷的5-STS截止值。在一个验证队列(n = 51)中,对该临界值的有效性进行了前瞻性评估。在衍生队列中,5-STS预测达到25 W负荷的截止时间为11.7 s,灵敏度为91%,特异性为70%。在验证队列中,使用12.0 s作为截止值显示出98%的敏感性和88%的特异性。多变量分析发现,年龄、性别(女性)、脑利钠肽、SARC-F和5-STS是最大达到负荷的独立预测因子。在包括生物电阻抗参数的多元模型中,下肢肌肉质量独立影响最大可实现负荷,而与年龄无关。优化5- sts负荷选择的患者峰值心率和最大负荷显著高于未优化的患者。结论:肌少症相关指标,尤其是5-STS,可以有效、简单地预测ESE期间可达到的运动强度,与年龄和性别无关。使用这些指标来确定初始负荷可能有助于优化个体患者的ESE方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The five times sit-to-stand test predicts achievable exercise intensity during stress echocardiography.

Aims: Exercise stress echocardiography (ESE) is becoming increasingly important in assessing heart failure and valvular diseases; however, determining optimal exercise intensity remains challenging, particularly in patients with physical disorders.

Methods and results: A total of 94 patients scheduled for ESE were enrolled in the study. Physical capability was assessed using the five times sit-to-stand test (5-STS), Clinical Frailty Scale, acronyms of the five components, namely strength, assistance with walking, rising from a chair, climbing stairs, and falls (SARC-F) questionnaire, grip strength test, and bioelectrical impedance analysis. In the derivation cohort (n = 43), we determined the 5-STS cut-off value to achieving a 25 W load. The effectiveness of this cut-off value was prospectively evaluated in a validation cohort (n = 51). In the derivation cohort, the 5-STS predicted achieving a 25 W load using a cut-off of 11.7 s with 91% sensitivity and 70% specificity. In the validation cohort, using 12.0 s as the cut-off demonstrated 98% sensitivity and 88% specificity. The multivariate analysis identified age, sex (female), brain natriuretic peptide, SARC-F, and 5-STS as independent predictors of maximum achieved load. In a multivariate model including bioelectrical impedance parameters, lower limb muscle mass independently influenced maximum achievable load, regardless of age. Patients with optimized 5-STS-based load selection achieved significantly higher peak heart rates and maximum loads than those without.

Conclusion: Sarcopenia-related indices, particularly the 5-STS, effectively and simply predicted achievable exercise intensity during ESE, independent of age and sex. The use of these indices to determine the initial load may help optimize ESE protocols for individual patients.

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