ERS statement on standardisation of cardiopulmonary exercise testing in chronic lung diseases.
ERS statement on standardisation of cardiopulmonary exercise testing in chronic lung diseases.
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DOI：
10.1183/16000617.0101-2018
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发表时间：
2019-12-31
期刊：
影响因子：
--
通讯作者：
Hebestreit, Helge
中科院分区：
文献类型：
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作者：
Radtke, Thomas;Crook, Sarah;Hebestreit, Helge
本文件的目的是标准化已发表的心肺运动测试（CPET）协议，以改善临床环境和多中心研究项目的解释。本文：1)总结了已发表的关于慢性肺部疾病的渐进式CPET的研究方案和程序；2)提出了在固定循环计力器和跑步机上CPET的标准增量方案；3)通过欧洲肺脏基金会支持的在线调查，提供患者对CPET的看法。我们系统地回顾了从EMBASE、Medline、Scopus、Web of Science和Cochrane图书馆从成立到2017年1月发表的研究。在7914项确定的研究中，纳入了595项研究，共26 523名受试者。文献支持以下测试方案：静止阶段持续至少3分钟，卸载阶段持续3分钟，工作速率至少每分钟线性增加8- 12分钟的增量阶段，然后是至少2-3分钟的恢复阶段。回应调查的患者（n=295）认为CPET对他们的诊断评估非常有益，并告知了工作组的共识。未来的研究应侧重于个性化估计不同肺部疾病的最佳工作速率增量，并收集可靠的规范数据。
The objective of this document was to standardise published cardiopulmonary exercise testing (CPET) protocols for improved interpretation in clinical settings and multicentre research projects. This document: 1) summarises the protocols and procedures used in published studies focusing on incremental CPET in chronic lung conditions; 2) presents standard incremental protocols for CPET on a stationary cycle ergometer and a treadmill; and 3) provides patients' perspectives on CPET obtained through an online survey supported by the European Lung Foundation. We systematically reviewed published studies obtained from EMBASE, Medline, Scopus, Web of Science and the Cochrane Library from inception to January 2017. Of 7914 identified studies, 595 studies with 26 523 subjects were included. The literature supports a test protocol with a resting phase lasting at least 3 min, a 3-min unloaded phase, and an 8- to 12-min incremental phase with work rate increased linearly at least every minute, followed by a recovery phase of at least 2-3 min. Patients responding to the survey (n=295) perceived CPET as highly beneficial for their diagnostic assessment and informed the Task Force consensus. Future research should focus on the individualised estimation of optimal work rate increments across different lung diseases, and the collection of robust normative data.