Functions necessary for gait independence in patients with stroke: A study using decision tree.


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:
Aug 2020
Historique:
received: 07 01 2020
revised: 18 04 2020
accepted: 23 05 2020
entrez: 22 7 2020
pubmed: 22 7 2020
medline: 24 10 2020
Statut: ppublish

Résumé

Little is known about the existence and impact of interactions among multiple impairments to gait independence. The purpose of this study is to reveal the interaction of physical functions and its impact on gait independence in stroke patients. This retrospective study included 108 subacute stroke patients. We conducted a decision tree analysis to examine the existence of interactions in relation to gait independence among the gross motor function of lower limb, knee extension strength, sensory function, and trunk function. Further, we confirmed the existence and impact of interaction detected via the decision tree after adjusting for the effects of confounding factors using logistic regression. The knee extension strength and proprioception on the affected side were selected in the first and second level of the decision tree. In addition, the knee extension strength was selected in the third level. The interaction of the knee extension strength and proprioception on the affected side was significantly associated with gait independence, both before and after adjusting for age, visuospatial perception, and cognitive functions. Our results suggest that the interaction of the knee extension strength and proprioception on the affected side is strongly associated with gait independence in stroke patients.

Sections du résumé

BACKGROUND BACKGROUND
Little is known about the existence and impact of interactions among multiple impairments to gait independence. The purpose of this study is to reveal the interaction of physical functions and its impact on gait independence in stroke patients.
METHODS METHODS
This retrospective study included 108 subacute stroke patients. We conducted a decision tree analysis to examine the existence of interactions in relation to gait independence among the gross motor function of lower limb, knee extension strength, sensory function, and trunk function. Further, we confirmed the existence and impact of interaction detected via the decision tree after adjusting for the effects of confounding factors using logistic regression.
RESULTS RESULTS
The knee extension strength and proprioception on the affected side were selected in the first and second level of the decision tree. In addition, the knee extension strength was selected in the third level. The interaction of the knee extension strength and proprioception on the affected side was significantly associated with gait independence, both before and after adjusting for age, visuospatial perception, and cognitive functions.
CONCLUSIONS CONCLUSIONS
Our results suggest that the interaction of the knee extension strength and proprioception on the affected side is strongly associated with gait independence in stroke patients.

Identifiants

pubmed: 32689598
pii: S1052-3057(20)30416-X
doi: 10.1016/j.jstrokecerebrovasdis.2020.104998
pii:
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

104998

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Takaaki Fujita (T)

Department of Rehabilitation, Faculty of Health Sciences, Tohoku Fukushi University, Japan. Electronic address: t-fujita@fmu.ac.jp.

Yuji Ohashi (Y)

Department of Rehabilitation, Kita-Fukushima Medical Center, Japan. Electronic address: reha-yuji@jinsenkai.or.jp.

Megumi Kurita (M)

Department of Rehabilitation, Kita-Fukushima Medical Center, Japan. Electronic address: reha-kurita@jinsenkai.or.jp.

Kazuhiro Yamane (K)

Department of Rehabilitation, Kita-Fukushima Medical Center, Japan. Electronic address: reha-yamane@jinsenkai.or.jp.

Yuichi Yamamoto (Y)

Department of Rehabilitation, Kita-Fukushima Medical Center, Japan. Electronic address: reha_yuichi@jinsenkai.or.jp.

Toshimasa Sone (T)

Department of Rehabilitation, Faculty of Health Sciences, Tohoku Fukushi University, Japan. Electronic address: sone-t@tfu-mail.tfu.ac.jp.

Yoko Ohira (Y)

Department of Rehabilitation, Kita-Fukushima Medical Center, Japan. Electronic address: ohira-y@jinsenkai.or.jp.

Koji Otsuki (K)

Preparing Section for New Faculty of Medical Science, Fukushima Medical University, 1 Hikariga-oka, Fukushima City, 960-1295, Japan. Electronic address: otuki-k@jinsenkai.or.jp.

Kazuaki Iokawa (K)

Preparing Section for New Faculty of Medical Science, Fukushima Medical University, 1 Hikariga-oka, Fukushima City, 960-1295, Japan. Electronic address: iokawa@fmu.ac.jp.

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Classifications MeSH