Subphenotypic classification of COVID-19 survivors and response to telerehabilitation: a latent class analysis.

IF 2.5 4区 医学 Q1 REHABILITATION
Yide Wang, Qianqian Xue, Zheng Li, Fengsen Li
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引用次数: 0

Abstract

Objective: Investigating the role of telerehabilitation in aiding recovery and societal reintegration for COVID-19 survivors, this study aims to identify distinct subphenotypes among survivors and assess their responsiveness to telerehabilitation.

Design: A secondary analysis of a multicentre, parallel-group randomized controlled trial from April 2020 through to follow-up in 2021.

Subjects/patients: The study included 377 COVID-19 survivors (47.1% male), with a mean age of 56.4 years.

Methods: Data from the Telerehabilitation Programme for COVID-19 (TERECO) were analysed using Latent Class Analysis to identify subphenotypes based on baseline characteristics. Clinical outcomes were compared between subphenotypes and treatment groups.

Results: Latent Class Analysis identified 2 phenotypes: Phenotype 1 (52.9%) characterized by impaired lung function and Phenotype 2 (47.1%) with better lung function. Among those receiving corticosteroids, only Phenotype 1 showed significant benefits from the TERECO intervention. Discrimination accuracy using forced expiratory volume in 1 s (FEV1) and peak expiratory flow was high (AUC = 0.936).

Conclusion: Two distinct phenotypes were identified in COVID-19 survivors, suggesting potential improvements in clinical trial design and personalized treatment strategies based on initial pulmonary function. This insight can guide more targeted rehabilitation approaches, enhancing recovery outcomes for specific survivor groups.

COVID-19幸存者的亚表型分类和对远程康复的反应:一项潜在分类分析
目的:探讨远程康复在帮助COVID-19幸存者康复和重返社会中的作用,本研究旨在确定幸存者的不同亚表型,并评估他们对远程康复的反应性。设计:对2020年4月至2021年随访的一项多中心、平行组随机对照试验进行二次分析。受试者/患者:该研究包括377例COVID-19幸存者(47.1%男性),平均年龄56.4岁。方法:使用潜在分类分析方法分析来自COVID-19远程康复计划(TERECO)的数据,以确定基于基线特征的亚表型。比较亚表型组和治疗组的临床结果。结果:潜类分析鉴定出2种表型:肺功能受损的表型1(52.9%)和肺功能较好的表型2(47.1%)。在接受皮质类固醇治疗的患者中,只有表现型1表现出TERECO干预的显著益处。1 s用力呼气量(FEV1)和呼气峰流量鉴别准确率高(AUC = 0.936)。结论:在COVID-19幸存者中发现了两种不同的表型,提示临床试验设计和基于初始肺功能的个性化治疗策略的潜在改进。这种见解可以指导更有针对性的康复方法,提高特定幸存者群体的康复效果。
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来源期刊
CiteScore
5.60
自引率
5.70%
发文量
102
审稿时长
4-8 weeks
期刊介绍: Journal of Rehabilitation Medicine is an international peer-review journal published in English, with at least 10 issues published per year. Original articles, reviews, case reports, short communications, special reports and letters to the editor are published, as also are editorials and book reviews. The journal strives to provide its readers with a variety of topics, including: functional assessment and intervention studies, clinical studies in various patient groups, methodology in physical and rehabilitation medicine, epidemiological studies on disabling conditions and reports on vocational and sociomedical aspects of rehabilitation.
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