Takafumi Abe1, Kentaro Iwata2, Yoshihiro Yoshimura3, Taku Shinoda2, Yuta Inagaki4, Shuhei Ohya4, Kanji Yamada2, Keiichi Oyanagi2, Yukihiro Maekawa2, Akihiro Honda2, Nobuo Kohara2, Atsuhiro Tsubaki5. 1. Department of Rehabilitation, Kobe City Medical Center General Hospital, 2-1-1 Minatojimaminamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan; Graduate School of Health and Welfare, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-ku, Niigata, Niigata 950-3198, Japan. Electronic address: t.abe.pt@gmail.com. 2. Department of Rehabilitation, Kobe City Medical Center General Hospital, 2-1-1 Minatojimaminamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan. 3. Center for Sarcopenia and Malnutrition Research, Kumamoto Rehabilitation Hospital, 760 magarite, kikuchi-gun kikuyou-cho, Kumamoto 869-1106, Japan. 4. Department of Rehabilitation, Kobe City Medical Center General Hospital, 2-1-1 Minatojimaminamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan; Graduate School of Health and Welfare, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-ku, Niigata, Niigata 950-3198, Japan. 5. Graduate School of Health and Welfare, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-ku, Niigata, Niigata 950-3198, Japan.
Abstract
BACKGROUND: Muscle mass might be a possible predictor for walking function in patients with stroke; however, evidence is limited. OBJECTIVE: To investigate whether skeletal muscle mass is associated with walking function at discharge during the acute phase. METHODS: In this observational cohort study, we assessed skeletal muscle mass in patients with acute ischemic stroke using the noninvasive and portable multifrequency bio-impedance device. This device can easily be used in bedridden patients. Appendicular skeletal muscle mass was converted to skeletal muscle index (SMI) standardizing by height squared (kg/m2). The primary outcome was walking function assessed by the modified Rankin Scale score at acute phase hospital discharge. Logistic regression analysis was used to determine the association between skeletal muscle mass and walking function. RESULTS: Of the 107 patients enrolled, low SMI (SMI: male <7.0 kg/m2, female <5.7 kg/m2) was identified in 29.9% (19.7% in men, 48.6% in women). Logistic regression analysis showed that low SMI [OR: 4.02, 95% confidence interval (CI): 1.38-11.7, p = 0.001] independently associated with walking function at discharge. Further, patients with mild and moderate severity had significant difficulty in walking when they had low SMI (p = 0.039). CONCLUSIONS: Low skeletal muscle mass at the onset of ischemic stroke is an independent predictor of walking function at discharge during the acute phase. Our findings highlight the importance of detecting skeletal muscle mass in patients with acute ischemic stroke.
BACKGROUND: Muscle mass might be a possible predictor for walking function in patients with stroke; however, evidence is limited. OBJECTIVE: To investigate whether skeletal muscle mass is associated with walking function at discharge during the acute phase. METHODS: In this observational cohort study, we assessed skeletal muscle mass in patients with acute ischemic stroke using the noninvasive and portable multifrequency bio-impedance device. This device can easily be used in bedridden patients. Appendicular skeletal muscle mass was converted to skeletal muscle index (SMI) standardizing by height squared (kg/m2). The primary outcome was walking function assessed by the modified Rankin Scale score at acute phase hospital discharge. Logistic regression analysis was used to determine the association between skeletal muscle mass and walking function. RESULTS: Of the 107 patients enrolled, low SMI (SMI: male <7.0 kg/m2, female <5.7 kg/m2) was identified in 29.9% (19.7% in men, 48.6% in women). Logistic regression analysis showed that low SMI [OR: 4.02, 95% confidence interval (CI): 1.38-11.7, p = 0.001] independently associated with walking function at discharge. Further, patients with mild and moderate severity had significant difficulty in walking when they had low SMI (p = 0.039). CONCLUSIONS: Low skeletal muscle mass at the onset of ischemic stroke is an independent predictor of walking function at discharge during the acute phase. Our findings highlight the importance of detecting skeletal muscle mass in patients with acute ischemic stroke.