Literature DB >> 31207438

Prestroke sarcopenia and functional outcomes in elderly patients who have had an acute stroke: A prospective cohort study.

Masafumi Nozoe1, Masashi Kanai2, Hiroki Kubo2, Miho Yamamoto2, Shinichi Shimada3, Kyoshi Mase4.   

Abstract

OBJECTIVES: The association between prestroke sarcopenia and functional outcomes in patients who have had a stroke has not, to our knowledge, been evaluated to date. We aimed to investigate the prevalence of prestroke sarcopenia, and determine whether prestroke sarcopenia is associated with functional outcomes in elderly patients who have suffered an acute stroke.
METHODS: We assessed prestroke sarcopenia in elderly patients with acute stroke using the SARC-F questionnaire. Patients were divided into two groups according to their SARC-F score: non-sarcopenia (SARC-F score <4) and prestroke sarcopenia (SARC-F score ≥4). The study endpoint was the modified Rankin Scale score at 3 mo after the stroke (0-3, good outcome; 4-6, poor outcome). The Mann-Whitney U-test, Pearson χ2 test, Fisher exact test, and logistic regression were used in the statistical analyses.
RESULTS: Of the 152 patients (81 men; median age [interquartile range]: 76 [11] y) enrolled, the prevalence rate of prestroke sarcopenia was 18% (27 patients). These 27 patients showed poor functional outcome at 3 mo after the stroke (50% versus 12%, prestroke sarcopenia versus nonsarcopenia; P < 0.001). After adjusting for variables, prestroke sarcopenia was an independent predictor of poor functional outcome at 3 mo after stroke (odds ratios: 7.39, 95% confidence interval: 1.47-37.21, P = 0.02).
CONCLUSIONS: Prestroke sarcopenia is an independent predictor of functional outcome at 3 mo after a stroke. Our findings highlight the importance of detecting prestroke sarcopenia in elderly patients with acute stroke.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Elderly; SARC-F; Sarcopenia; Stroke

Year:  2019        PMID: 31207438     DOI: 10.1016/j.nut.2019.04.011

Source DB:  PubMed          Journal:  Nutrition        ISSN: 0899-9007            Impact factor:   4.008


  6 in total

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Journal:  Intern Emerg Med       Date:  2021-12-01       Impact factor: 5.472

2.  Stroke and sarcopenia.

Authors:  Manuel F Mas; Javier González; Walter R Frontera
Journal:  Curr Phys Med Rehabil Rep       Date:  2020-09-15

Review 3.  Screening Tools for Sarcopenia.

Authors:  Hiroki Nishikawa; Akira Asai; Shinya Fukunishi; Toshihisa Takeuchi; Masahiro Goto; Takeshi Ogura; Shiro Nakamura; Kazuki Kakimoto; Takako Miyazaki; Shuhei Nishiguchi; Kazuhide Higuchi
Journal:  In Vivo       Date:  2021 Nov-Dec       Impact factor: 2.155

4.  Nutrition in the First Week after Stroke Is Associated with Discharge to Home.

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Journal:  Nutrients       Date:  2021-03-15       Impact factor: 5.717

Review 5.  Temporal Muscle and Stroke-A Narrative Review on Current Meaning and Clinical Applications of Temporal Muscle Thickness, Area, and Volume.

Authors:  Masahito Katsuki; Yukinari Kakizawa; Akihiro Nishikawa; Yasunaga Yamamoto; Toshiya Uchiyama; Masahiro Agata; Naomichi Wada; Shin Kawamura; Akihito Koh
Journal:  Nutrients       Date:  2022-02-06       Impact factor: 5.717

Review 6.  Frailty and cerebrovascular disease: Concepts and clinical implications for stroke medicine.

Authors:  Nicholas R Evans; Oliver M Todd; Jatinder S Minhas; Patricia Fearon; George W Harston; Jonathan Mant; Gillian Mead; Jonathan Hewitt; Terence J Quinn; Elizabeth A Warburton
Journal:  Int J Stroke       Date:  2021-08-04       Impact factor: 5.266

  6 in total

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