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一分钟坐站测试在慢性阻塞性肺疾病患者中检测功能障碍的截断值。

Cut-off of the one-minute sit-to-stand test to detect functional impairment in people with chronic obstructive pulmonary disease.

机构信息

Respiratory Research and Rehabilitation Laboratory (Lab3R), School of Health Sciences (ESSUA), University of Aveiro, Aveiro, Portugal; Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal; Department of Medical Sciences (DCM), University of Aveiro, Aveiro, Portugal; Department of Respiratory Medicine, Maastricht University Medical Centre, NUTRIM School of Nutrition and Translational Research in Metabolism, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.

Respiratory Research and Rehabilitation Laboratory (Lab3R), School of Health Sciences (ESSUA), University of Aveiro, Aveiro, Portugal; Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal; Department of Research and Development, Ciro, Horn, the Netherlands.

出版信息

Respir Med. 2022 Aug;199:106892. doi: 10.1016/j.rmed.2022.106892. Epub 2022 May 22.

DOI:10.1016/j.rmed.2022.106892
PMID:35623110
Abstract

INTRODUCTION

The 6-minute walking test (6MWT) is a widely used measure to assess functional status of people with chronic obstructive pulmonary disease (COPD). However, it requires a long hallway and might be time-consuming. Other simple measures might be useful as a first screening tool. We explored the predictive ability of the 1-minute sit-to-stand test (1-min STS) in discriminating people with COPD with or without functional impairment.

METHODS

A receiver operating characteristics (ROC) curve analysis was performed. We determined a threshold for the 1-min STS to identify functional impairment based on different cut-offs of the 6MWT (300, 350, 400 and 450 m).

RESULTS

A total of 135 people with COPD were included. Except for the <450 m cut-off of the 6MWT, all other cut-offs identified 19.5 repetitions as the optimal cut-off point for the 1-min STS. All AUCs showed excellent discrimination (AUCs = 0.812-0.901). The best AUC (<300 m cut-off) had an outstanding discrimination (0.901; 95%CI: 0.84-0.96; other AUCs 0.812-0.836) between people with or without functional impairment, with 86% specificity and 83% sensitivity.

CONCLUSION

A cut-off of 19.5 repetitions in the 1-min STS discriminates accurately people with COPD with a functional impairment. Future studies may validate our treatable trait candidate in other samples and investigate its utility in predicting other meaningful outcomes.

摘要

简介

6 分钟步行测试(6MWT)是一种广泛用于评估慢性阻塞性肺疾病(COPD)患者功能状态的测量方法。然而,它需要一条长走廊,可能比较耗时。其他简单的测量方法可能作为初步筛选工具更有用。我们探讨了 1 分钟坐站测试(1-min STS)在区分有或无功能障碍的 COPD 患者方面的预测能力。

方法

进行了受试者工作特征(ROC)曲线分析。我们根据 6MWT 的不同截值(300、350、400 和 450m)确定了 1-min STS 的阈值,以识别功能障碍。

结果

共纳入 135 例 COPD 患者。除了 6MWT 的<450m 截值外,其他所有截值均确定 19.5 次重复作为 1-min STS 的最佳截断点。所有 AUC 均显示出良好的区分度(AUCs=0.812-0.901)。最佳 AUC(<300m 截值)在区分有或无功能障碍的患者方面具有出色的区分度(0.901;95%CI:0.84-0.96;其他 AUCs 0.812-0.836),特异性为 86%,敏感性为 83%。

结论

1-min STS 的 19.5 次重复截断值可准确区分有功能障碍的 COPD 患者。未来的研究可能会在其他样本中验证我们的可治疗特征候选物,并研究其在预测其他有意义的结局方面的效用。

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