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健康志愿者手臂测力计心肺运动试验(CPET)的参考值。

Reference values for arm ergometry cardiopulmonary exercise testing (CPET) in healthy volunteers.

作者信息

Shakespeare Joanna, Parkes Edward

机构信息

Respiratory and Sleep Sciences, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK

Respiratory and Sleep Sciences, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.

出版信息

BMJ Open Respir Res. 2025 Apr 9;12(1):e002806. doi: 10.1136/bmjresp-2024-002806.

DOI:10.1136/bmjresp-2024-002806
PMID:40210243
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11987118/
Abstract

INTRODUCTION

The performance of a cardiopulmonary exercise test (CPET) requires an individual to undertake a progressive, maximal exercise test to a symptom-limited end point. CPET is commonly performed using a treadmill or cycle ergometer (CE). Arm ergometry (AE) is an alternative exercise modality to CE; however, AE produces lower peak oxygen uptake (V̇O) values as it involves smaller muscle groups and generates less cardiovascular stress. Current predicted equations for the interpretation of AE CPET are limited by small sample sizes, gender bias and limited age ranges.

AIMS

To develop predicted equations and reference ranges for AE exercise testing.

DESIGN

Incremental ramp protocol CPET, to a symptom-limited end point, via AE was performed in a group of 116 (62 F) healthy volunteers of median age 38 (IQR 29-48) years. Breath-by-breath gas analysis was performed using the Ultima CPX (Medical Graphics, UK) metabolic cart. Quantile regression analysis was used to develop regression equations for AE V̇O, peak work rate (WR), anaerobic threshold, peak ventilation (VE), peak heart rate, oxygen pulse, V̇E/V̇CO slope and V̇O/WR slope.

RESULTS

Reference equations including upper and/or lower limits, based on quantile regression, were generated and verified using a validation cohort.

CONCLUSIONS

These findings represent the largest and most diverse set of predicted values and reference ranges for AE CPET parameters in healthy individuals to date. Implementation of these reference equations will allow AE to be more widely adopted, enabling the performance and interpretation of CPET in a wider population.

摘要

引言

心肺运动试验(CPET)要求个体进行一项渐进性的最大运动试验,直至达到症状限制终点。CPET通常使用跑步机或功率自行车(CE)进行。手臂测力计(AE)是CE的一种替代运动方式;然而,由于AE涉及的肌肉群较小且产生的心血管压力较小,其产生的峰值摄氧量(V̇O)值较低。目前用于解释AE CPET的预测方程受到样本量小、性别偏差和年龄范围有限的限制。

目的

开发用于AE运动试验的预测方程和参考范围。

设计

对一组116名(62名女性)年龄中位数为38岁(四分位间距29 - 48岁)的健康志愿者进行递增斜坡方案CPET,通过AE进行,直至达到症状限制终点。使用Ultima CPX(英国医学图形公司)代谢车进行逐次呼吸气体分析。采用分位数回归分析来开发AE V̇O、峰值工作率(WR)、无氧阈值、峰值通气量(VE)、峰值心率、氧脉搏、V̇E/V̇CO斜率和V̇O/WR斜率的回归方程。

结果

基于分位数回归生成了包括上限和/或下限的参考方程,并使用验证队列进行了验证。

结论

这些发现代表了迄今为止健康个体中AE CPET参数的最大且最多样化的预测值和参考范围集合。这些参考方程的实施将使AE能够更广泛地被采用,从而使CPET能够在更广泛的人群中进行并得到解释。

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