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出院时呼吸参数对脑卒中患者平衡和步态能力的预测作用

Respiratory Parameters as Predictors of Balance and Gait Ability in Patients with Stroke at Discharge.

机构信息

Department of Rehabilitation Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea.

Department of Physical Therapy, The Graduate School, Yonsei University, Wonju 26493, Republic of Korea.

出版信息

Int J Environ Res Public Health. 2023 Nov 22;20(23):7098. doi: 10.3390/ijerph20237098.

Abstract

Pulmonary complications are frequent in stroke, contributing to both mortality and morbidity rates. Respiratory parameters in such patients encompass both pulmonary function and respiratory muscle strength. Identifying respiratory function variables that influence the balance and gait ability of patients with stroke is crucial for enhancing their recovery in these aspects. However, no study has assessed predictions for a comprehensive array of balance and gait abilities in such patients. We aimed to examine whether initial respiratory muscle strength and pulmonary function can predict balance and gait ability at discharge from a rehabilitation program. Thirty-one patients with stroke were included in this prospective observational study. Multiple regression models with a forward selection procedure were employed to identify respiratory parameters (including peak expiratory flow and maximal expiratory pressure) that contributed to the results of balance assessments and gait evaluations at the time of discharge. The peak expiratory flow (PEF) served as a predictor explaining 42.0% of the variance. Similarly, the maximal expiratory pressure (MEP) was a predictor variable explaining 32.0% of the variance. PEF and MEP assessments at the initial stage as predictive factors for both balance and gait ability are important in stroke management.

摘要

肺部并发症在中风中很常见,这既导致了死亡率,也导致了发病率。此类患者的呼吸参数既包括肺功能,也包括呼吸肌力量。确定影响中风患者平衡和步态能力的呼吸功能变量对于增强他们在这些方面的恢复能力至关重要。然而,尚无研究评估过对中风患者全面的平衡和步态能力的预测。我们旨在检验初始呼吸肌力量和肺功能是否可以预测康复计划出院时的平衡和步态能力。在这项前瞻性观察研究中,共纳入了 31 名中风患者。采用逐步向前选择法的多元回归模型,以确定在出院时平衡评估和步态评估结果中起作用的呼吸参数(包括呼气峰流速和最大呼气压力)。呼气峰流速(PEF)是解释 42.0%方差的预测因子。同样,最大呼气压力(MEP)是解释 32.0%方差的预测变量。在中风管理中,初始阶段的 PEF 和 MEP 评估作为平衡和步态能力的预测因子很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/302b/10706095/8693aefa5e3b/ijerph-20-07098-g001.jpg

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