3.8 Article

Prediction models for physical function in COVID-19 survivors

期刊

出版社

ELSEVIER
DOI: 10.1016/j.jbmt.2023.11.002

关键词

COVID-19; Physical functioning; Fatigue; Muscle strength; Rehabilitation

向作者/读者索取更多资源

This study built prediction models for the Post-COVID-19 Functional Status (PCFS) scale using sociodemographic data, clinical findings, lung function, and muscle strength. The results showed that worse general fatigue and handgrip strength were associated with more severe physical function impairments in patients with post-COVID-19 syndrome. Additionally, a history of prior hospitalization resulted in worse physical function. Prediction models incorporating objective measures can better assess the physical function of these patients and aid in the selection of candidates for a physical reconditioning program.
Background: The burden of caring for patients who have survived COVID-19 will be enormous in the coming years, especially with respect to physical function. Physical function has been routinely assessed using the PostCOVID-19 Functional Status (PCFS) scale. Aim: This study built prediction models for the PCFS scale using sociodemographic data, clinical findings, lung function, and muscle strength.Method: Two hundred and one patients with post-COVID-19 syndrome (PCS) completed the PCFS scale to assess physical function. Their levels of general fatigue were also assessed using the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) scale, handgrip strength (HGS), and spirometry.Results: The number of participants who scored 0 (none), 1 (negligible), 2 (slight), 3 (moderate), and 4 (severe) on the PCFS scale was 25 (12%), 40 (20%), 39 (19%), 49 (24%), and 48 (24%), respectively. The PCFS scale was significantly correlated with the following variables: FACIT-F score (r =-0.424, P < 0.001), HGS (r =-0.339, P < 0.001), previous hospitalization (r = 0.226, P = 0.001), body mass index (r = 0.163, P = 0.021), and sex (r =-0.153, P = 0.030). The regression model with the highest coefficient of regression (R = 0.559) included the following variables: age, sex, body mass index, FACIT-F, HGS, and previous hospitalization.Conclusions: Worse general fatigue and HGS are associated with more severe physical function impairments in PCS patients. Furthermore, a history of prior hospitalization results in worse physical function. Thus, prediction models for the PCFS scale that incorporate objective measures enable a better assessment of the physical function of these patients, thus helping in the selection of candidates for a program of physical reconditioning.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据