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使用躯干功能障碍量表预测急性脑卒中患者的步态独立性

Prediction of gait independence using the Trunk Impairment Scale in patients with acute stroke.

作者信息

Ishiwatari Masahiro, Tani Mami, Isayama Reina, Honaga Kaoru, Hayakawa Masato, Takakura Tomokazu, Tanuma Akira, Kurosu Akihiro, Hatori Kozo, Wada Futoshi, Fujiwara Toshiyuki

机构信息

Department of Rehabilitation Medicine, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo, Tokyo 113-8421, Japan.

Department of Rehabilitation, Kiminomori Rehabilitation Hospital, Chiba, Japan.

出版信息

Ther Adv Neurol Disord. 2022 Dec 6;15:17562864221140180. doi: 10.1177/17562864221140180. eCollection 2022.

Abstract

BACKGROUND

Gait recovery is one of the primary goals of stroke rehabilitation. Gait independence is a key functional component of independent activities in daily living and social participation. Therefore, early prediction of gait independence is essential for stroke rehabilitation. Trunk function is important for recovery of gait, balance, and lower extremity function. The Trunk Impairment Scale (TIS) was developed to assess trunk impairment in patients with stroke.

OBJECTIVE

To evaluate the predictive validity of the TIS for gait independence in patients with acute stroke.

METHODS

A total of 102 patients with acute stroke participated in this study. Every participant was assessed using the TIS, Stroke Impairment Assessment Set (SIAS), and Functional Independence Measure (FIM) within 48 h of stroke onset and at discharge. Gait independence was defined as FIM gait scores of 6 and 7. Multiple regression analysis was used to predict the FIM gait score, and multiple logistic regression analysis was used to predict gait independence. Cut-off values were determined using receiver operating characteristic (ROC) curves for variables considered significant in the multiple logistic regression analysis. In addition, the area under the curve (AUC), sensitivity, and specificity were calculated.

RESULTS

For the prediction of the FIM gait score at discharge, the TIS at admission showed a good-fitting adjusted coefficient of determination (  = 0.672,  < 0.001). The TIS and age were selected as predictors of gait independence. The ROC curve had a TIS cut-off value of 12 points (sensitivity: 81.4%, specificity: 79.7%) and an AUC of 0.911. The cut-off value for age was 75 years (sensitivity: 74.6%, specificity: 65.1%), and the AUC was 0.709.

CONCLUSION

The TIS is a useful early predictor of gait ability in patients with acute stroke.

摘要

背景

步态恢复是中风康复的主要目标之一。步态独立性是日常生活和社会参与中独立活动的关键功能组成部分。因此,早期预测步态独立性对于中风康复至关重要。躯干功能对于步态、平衡和下肢功能的恢复很重要。躯干损伤量表(TIS)旨在评估中风患者的躯干损伤情况。

目的

评估TIS对急性中风患者步态独立性的预测效度。

方法

共有102例急性中风患者参与本研究。每位参与者在中风发作后48小时内及出院时均使用TIS、中风损伤评估量表(SIAS)和功能独立性测量量表(FIM)进行评估。步态独立性定义为FIM步态评分为6分和7分。采用多元回归分析预测FIM步态评分,采用多元逻辑回归分析预测步态独立性。使用受试者工作特征(ROC)曲线确定多元逻辑回归分析中具有显著意义的变量的临界值。此外,计算曲线下面积(AUC)、敏感性和特异性。

结果

对于出院时FIM步态评分的预测,入院时TIS显示出拟合良好的调整决定系数( = 0.672, < 0.001)。TIS和年龄被选为步态独立性的预测因素。ROC曲线显示TIS临界值为12分(敏感性:81.4%,特异性:79.7%),AUC为0.911。年龄临界值为75岁(敏感性:74.6%,特异性:65.1%),AUC为0.709。

结论

TIS是急性中风患者步态能力的有用早期预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0a6/9730005/e75a26d2be5e/10.1177_17562864221140180-fig1.jpg

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