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


Journal

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
ISSN: 1532-8511
Titre abrégé: J Stroke Cerebrovasc Dis
Pays: United States
ID NLM: 9111633

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 28 08 2019
revised: 28 11 2019
accepted: 22 12 2019
pubmed: 19 1 2020
medline: 21 7 2020
entrez: 19 1 2020
Statut: ppublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND AND AIMS OBJECTIVE
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 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 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 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.

Identifiants

pubmed: 31952978
pii: S1052-3057(19)30733-5
doi: 10.1016/j.jstrokecerebrovasdis.2019.104623
pii:
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

104623

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Ken Ohyama (K)

Department of Neurology, Toyohashi Municipal Hospital, Toyohashi, Japan. Electronic address: kenohyama211@gmail.com.

Maki Watanabe (M)

Department of Neurology, Toyohashi Municipal Hospital, Toyohashi, Japan.

Yasunobu Nosaki (Y)

Department of Neurology, Toyohashi Municipal Hospital, Toyohashi, Japan.

Takashi Hara (T)

Department of Neurology, Toyohashi Municipal Hospital, Toyohashi, Japan.

Katsushige Iwai (K)

Department of Neurology, Toyohashi Municipal Hospital, Toyohashi, Japan.

Kenji Mokuno (K)

Department of Neurology, Toyohashi Municipal Hospital, Toyohashi, Japan.

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