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Respiratory Parameters as Predictors of Balance and Gait Ability in Patients with Stroke at Discharge.
Park, Hee-Yong; Kwon, Oh-Yun; Yi, Chung-Hwi; Jeon, Hye-Seon; Choi, Woochol Joseph; Ahn, So-Young; Hwang, Ui-Jae.
Afiliación
  • Park HY; Department of Rehabilitation Medicine, Chungnam National University Hospital, Daejeon 35015, Republic of Korea.
  • Kwon OY; Department of Physical Therapy, The Graduate School, Yonsei University, Wonju 26493, Republic of Korea.
  • Yi CH; Department of Physical Therapy, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju 26493, Republic of Korea.
  • Jeon HS; Kinetic Ergocise Based on Movement Analysis Laboratory, Yonsei University, Wonju 26493, Republic of Korea.
  • Choi WJ; Department of Physical Therapy, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju 26493, Republic of Korea.
  • Ahn SY; Department of Physical Therapy, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju 26493, Republic of Korea.
  • Hwang UJ; Department of Physical Therapy, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju 26493, Republic of Korea.
Article en En | MEDLINE | ID: mdl-38063528
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 6_ODS3_enfermedades_notrasmisibles Problema de salud: 6_cardiovascular_diseases / 6_cerebrovascular_disease Asunto principal: Accidente Cerebrovascular / Rehabilitación de Accidente Cerebrovascular Límite: Humans Idioma: En Revista: Int J Environ Res Public Health Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 6_ODS3_enfermedades_notrasmisibles Problema de salud: 6_cardiovascular_diseases / 6_cerebrovascular_disease Asunto principal: Accidente Cerebrovascular / Rehabilitación de Accidente Cerebrovascular Límite: Humans Idioma: En Revista: Int J Environ Res Public Health Año: 2023 Tipo del documento: Article
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