Gait Measures at Admission to Inpatient Rehabilitation after Ischemic Stroke Predict 3-Month Quality of Life and Function
Autor: | Yurany A. Arevalo, Ronald M. Lazar, Jongmin Lee, Christopher P. Hurt, Shyam Prabhakaran, Chen Lin, Richard L. Harvey |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Male
030506 rehabilitation medicine.medical_specialty medicine.medical_treatment Physical Therapy Sports Therapy and Rehabilitation Logistic regression Article Brain Ischemia 03 medical and health sciences 0302 clinical medicine Quality of life Modified Rankin Scale medicine Humans Stroke Gait Aged Ischemic Stroke Inpatients Rehabilitation business.industry Stroke Rehabilitation Odds ratio medicine.disease Confidence interval Neurology Physical therapy Quality of Life Female Neurology (clinical) 0305 other medical science business 030217 neurology & neurosurgery |
Zdroj: | PM R |
Popis: | BACKGROUND: Ischemic stroke can impact a patient’s quality of life, but the extent is unknown. OBJECTIVE: To evaluate the association between gait measures during inpatient rehabilitation with quality-of-life scores and function at 3 months in patients with stroke. SETTING: Single-Center inpatient rehabilitation facility. PARTICIPANTS: Eight five patients with ischemic stroke. METHODS: A 6-Minute Walk Test and a 10-Meter Walk Test were recorded on admission to rehabilitation. We analyzed the association between gait function at rehabilitation and 3-month quality of life and poor functional outcome (modified Rankin Scale score >2) using multivariable logistic regression. MAIN OUTCOME: Measures 3-month health related quality of life. RESULTS: Eighty-five patients (mean age 68.3 14.9 years; 54.3% male) were enrolled. In adjusted analyses, an increase of 0.31 m/s (ie, 1 SD) on the 10-meter walk test was linked with a decreased odds of impaired lower extremity quality of life by 94% (odds ratio [OR] 0.06, 95% confidence interval [CI] 0.01–0.52; P =.01), and decreased odds of poor functional outcome by 98% (OR 0.02, 95% CI |
Databáze: | OpenAIRE |
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