Hitoshi Mutai1, Tomomi Furukawa2, Ayumi Houri2, Akihito Suzuki2, Tokiji Hanihara3. 1. Department of Rehabilitation, Azumino Red Cross Hospital, 5685 Toyoshina, Azumino, Nagano 399-8292, Japan; School of Health Sciences, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan. 2. Department of Rehabilitation, Azumino Red Cross Hospital, 5685 Toyoshina, Azumino, Nagano 399-8292, Japan. 3. School of Health Sciences, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan; Nagano Prefectural Mental Wellness Center Komagane, 2901 Shimodaira, Komagane, Nagano 399-4101, Japan. Electronic address: qhaniha@shinshu-u.ac.jp.
Abstract
BACKGROUND: Post-stroke fatigue (PSF) is a frequent and distressing consequence of stroke, and can be both acute and long lasting. We aimed to investigate multidimensional aspects of acute PSF and to determine the clinical factors relevant to acute PSF. METHODS: We collected data of 101 patients admitted to the hospital for acute stroke. PSF was assessed using the Multidimensional Fatigue Inventory within 2 weeks of stroke. Measures included Mini-Mental State Examination, Hospital Anxiety and Depression Scale, and Functional Independence Measure. Stroke character, lesion location, and clinical variables that potentially influence PSF were also collected. RESULTS: The prevalence of pathological fatigue is 56.4% within 2 weeks of stroke. Binary logistic regression analysis revealed that anxiety was the only predictor for presence of PSF (OR=1.32, 95% CI: 1.13-1.53, P<0.001). Multivariate stepwise regression analysis showed anxiety, right lesion side, thalamus, and/or brainstem were independently associated with general fatigue, right lesion side, depression, diabetes mellitus, and anxiety with physical fatigue, depression with reduced activity, depression, and BMI with reduced motivation, depression, and diabetes mellitus with mental fatigue. CONCLUSIONS: PSF was highly prevalent in the acute phase, and specific factors including lesion location (right side lesion, thalamic and brainstem lesion), anxiety, and depression were independently associated with multidimensional aspects of PSF. Further study is needed to elucidate how specific structural lesions and anxiety symptoms relate to the development of early fatigue following stroke.
BACKGROUND: Post-stroke fatigue (PSF) is a frequent and distressing consequence of stroke, and can be both acute and long lasting. We aimed to investigate multidimensional aspects of acute PSF and to determine the clinical factors relevant to acute PSF. METHODS: We collected data of 101 patients admitted to the hospital for acute stroke. PSF was assessed using the Multidimensional Fatigue Inventory within 2 weeks of stroke. Measures included Mini-Mental State Examination, Hospital Anxiety and Depression Scale, and Functional Independence Measure. Stroke character, lesion location, and clinical variables that potentially influence PSF were also collected. RESULTS: The prevalence of pathological fatigue is 56.4% within 2 weeks of stroke. Binary logistic regression analysis revealed that anxiety was the only predictor for presence of PSF (OR=1.32, 95% CI: 1.13-1.53, P<0.001). Multivariate stepwise regression analysis showed anxiety, right lesion side, thalamus, and/or brainstem were independently associated with general fatigue, right lesion side, depression, diabetes mellitus, and anxiety with physical fatigue, depression with reduced activity, depression, and BMI with reduced motivation, depression, and diabetes mellitus with mental fatigue. CONCLUSIONS: PSF was highly prevalent in the acute phase, and specific factors including lesion location (right side lesion, thalamic and brainstem lesion), anxiety, and depression were independently associated with multidimensional aspects of PSF. Further study is needed to elucidate how specific structural lesions and anxiety symptoms relate to the development of early fatigue following stroke.
Authors: Fred S Sarfo; Patrick Berchie; Arti Singh; Michelle Nichols; Maria Agyei-Frimpong; Carolyn Jenkins; Bruce Ovbiagele Journal: J Stroke Cerebrovasc Dis Date: 2019-02-21 Impact factor: 2.136
Authors: Wai Kwong Tang; Chieh Grace Lau; Yan Liang; Lisha Wang; Vincent Mok; Oi Yan Yannie Soo; Wai Hong Thomas Leung; Gabor S Ungvari; Shinichiro Uchiyama; Jong S Kim Journal: J Am Heart Assoc Date: 2019-11-07 Impact factor: 5.501