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Research Article| Volume 29, ISSUE 4, 104623, April 2020

Correlation Between Skeletal Muscle Mass Deficit and Poor Functional Outcome in Patients with Acute Ischemic Stroke

      Abstract

      Background and Aims: To date, the correlation between sarcopenia, which exists before a stroke, and acute stroke outcome remains partially understood. This study aims to evaluate the skeletal muscle mass deficit using the bioelectrical impedance analysis in patients with acute ischemic stroke. Methods: We enrolled 164 geriatric patients with acute ischemic stroke (108 males and 56 females) who underwent the bioelectrical impedance analysis. We evaluated clinical outcomes and their impact on patients with the skeletal muscle mass deficit determined using the skeletal muscle mass index. Results: The skeletal muscle mass deficit was obtained using the bioelectrical impedance analysis in 101 patients. Patients with the skeletal muscle mass deficit determined by the skeletal muscle mass index exhibited severe neurological impairment and functional status on admission; moreover, they tended to display poor functional outcome and prolonged hospital stay. Logistic regression analysis revealed that the skeletal muscle mass deficit remained an independent poor outcome predictor. Conclusions: This study establishes the presence of the skeletal muscle mass deficit in over half patients with acute ischemic stroke. Furthermore, the skeletal muscle mass deficit correlates with neurological impairment owing to stroke with poorer functional prognosis.

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      References

        • Cruz-Jentoft AJ
        • Baeyens JP
        • Bauer JM
        • et al.
        Sarcopenia: European consensus on definition and diagnosis: report of the European working group on sarcopenia in older people.
        Age Ageing. 2010; 39: 412-423
        • Chen LK
        • Liu LK
        • Woo J
        • et al.
        Sarcopenia in Asia: consensus report of the Asian working group for sarcopenia.
        J Am Med Dir Assoc. 2014; 15: 95-101
        • Cruz-Jentoft AJ
        • Landi F
        • Schneider SM
        • et al.
        Prevalence of and interventions for sarcopenia in ageing adults: a systematic review. Report of the International Sarcopenia Initiative (EWGSOP and IWGS).
        Age Ageing. 2014; 43: 748-759
        • Scherbakov N
        • Sandek A
        • Doehner W
        Stroke-related sarcopenia: specific characteristics.
        J Am Med Dir Assoc. 2015; 16: 272-276
        • Ryan AS
        • Ivey FM
        • Serra MC
        • et al.
        Sarcopenia and physical function in middle-aged and older stroke survivors.
        Arch Phys Med Rehabil. 2017; 98: 495-499
        • Shiraishi A
        • Yoshimura Y
        • Wakabayashi H
        • et al.
        Prevalence of stroke-related sarcopenia and its association with poor oral status in post-acute stroke patients: Implications for oral sarcopenia.
        Clin Nutr. 2018; 37: 204-207
        • van Swieten JC
        • Koudstaal PJ
        • Visser MC
        • et al.
        Interobserver agreement for the assessment of handicap in stroke patients.
        Stroke. 1988; 19: 604-607
        • Dixon CB
        • Ramos L
        • Fitzgerald E
        • et al.
        The effect of acute fluid consumption on measures of impedance and percent body fat estimated using segmental bioelectrical impedance analysis.
        Eur J Clin Nutr. 2009; 63: 1115-1122
        • Adams Jr., HP
        • Bendixen BH
        • Kappelle LJ
        • et al.
        Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment.
        Stroke. 1993; 24: 35-41
        • Fazekas F
        • Chawluk JB
        • Alavi A
        • et al.
        MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging.
        AJR Am J Roentgenol. 1987; 149: 351-356
        • Yamada M
        • Nishiguchi S
        • Fukutani N
        • et al.
        Prevalence of sarcopenia in community-dwelling Japanese older adults.
        J Am Med Dir Assoc. 2013; 14: 911-915
        • Tanimoto Y
        • Watanabe M
        • Sun W
        • et al.
        Sarcopenia and falls in community-dwelling elderly subjects in Japan: defining sarcopenia according to criteria of the European working group on Sarcopenia in older people.
        Arch Gerontol Geriatr. 2014; 59: 295-299
        • Yoshimura Y
        • Wakabayashi H
        • Bise T
        • et al.
        Prevalence of sarcopenia and its association with activities of daily living and dysphagia in convalescent rehabilitation ward inpatients.
        Clin Nutr. 2017;
        • Wang H
        • Hai S
        • Cao L
        • et al.
        Estimation of prevalence of sarcopenia by using a new bioelectrical impedance analysis in Chinese community-dwelling elderly people.
        BMC Geriatr. 2016; 16: 216
        • Minn YK
        • Suk SH
        Higher skeletal muscle mass may protect against ischemic stroke in community-dwelling adults without stroke and dementia: the PRESENT project.
        BMC Geriatr. 2017; 17: 45
        • Visser M
        • Pahor M
        • Taaffe DR
        • et al.
        Relationship of interleukin-6 and tumor necrosis factor-alpha with muscle mass and muscle strength in elderly men and women: the Health ABC Study.
        J Gerontol A Biol Sci Med Sci. 2002; 57: M326-M332
        • Schaap LA
        • Pluijm SM
        • Deeg DJ
        • et al.
        Higher inflammatory marker levels in older persons: associations with 5-year change in muscle mass and muscle strength.
        J Gerontol A Biol Sci Med Sci. 2009; 64: 1183-1189
        • Bian AL
        • Hu HY
        • Rong YD
        • et al.
        A study on relationship between elderly sarcopenia and inflammatory factors IL-6 and TNF-alpha.
        Eur J Med Res. 2017; 22: 25
        • Hida T
        • Imagama S
        • Ando K
        • et al.
        Sarcopenia and physical function are associated with inflammation and arteriosclerosis in community-dwelling people: the Yakumo study.
        Mod Rheumatol. 2018; 28: 345-350
        • Welsh P
        • Lowe GD
        • Chalmers J
        • et al.
        Associations of proinflammatory cytokines with the risk of recurrent stroke.
        Stroke. 2008; 39: 2226-2230
        • Arenillas JF
        • Alvarez-Sabin J
        • Molina CA
        • et al.
        Progression of symptomatic intracranial large artery atherosclerosis is associated with a proinflammatory state and impaired fibrinolysis.
        Stroke. 2008; 39: 1456-1463
        • Emerging Risk Factors C
        • Kaptoge S
        • et al.
        C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis.
        Lancet. 2010; 375: 132-140
        • Shimizu K
        • Shimomura K
        • Tokuyama Y
        • et al.
        Association between inflammatory biomarkers and progression of intracranial large artery stenosis after ischemic stroke.
        J Stroke Cerebrovasc Dis. 2013; 22: 211-217
        • Boehme AK
        • McClure LA
        • Zhang Y
        • et al.
        Inflammatory markers and outcomes after lacunar stroke: levels of inflammatory markers in treatment of stroke study.
        Stroke. 2016; 47: 659-667
        • Yoo SH
        • Kim JS
        • Kwon SU
        • et al.
        Undernutrition as a predictor of poor clinical outcomes in acute ischemic stroke patients.
        Arch Neurol. 2008; 65: 39-43
        • Dziedzic T
        • Slowik A
        • Szczudlik A
        Serum albumin level as a predictor of ischemic stroke outcome.
        Stroke. 2004; 35: e156-e158
        • Cho YM
        • Choi IS
        • Bian RX
        • et al.
        Serum albumin at admission for prediction of functional outcome in ischaemic stroke patients.
        Neurol Sci. 2008; 29: 445-449
        • Babu MS
        • Kaul S
        • Dadheech S
        • et al.
        Serum albumin levels in ischemic stroke and its subtypes: correlation with clinical outcome.
        Nutrition. 2013; 29: 872-875
        • Burgos R
        • Breton I
        • Cereda E
        • et al.
        ESPEN guideline clinical nutrition in neurology.
        Clin Nutr. 2018; 37: 354-396
        • Rabadi MH
        • Coar PL
        • Lukin M
        • et al.
        Intensive nutritional supplements can improve outcomes in stroke rehabilitation.
        Neurology. 2008; 71: 1856-1861
        • Ha L
        • Hauge T
        • Spenning AB
        • et al.
        Individual, nutritional support prevents undernutrition, increases muscle strength and improves QoL among elderly at nutritional risk hospitalized for acute stroke: a randomized, controlled trial.
        Clin Nutr. 2010; 29: 567-573