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入院时的伯格平衡量表评分可预测缺血性脑卒中患者出院时是否适合社区行走。

Berg Balance Scale score at admission can predict walking suitable for community ambulation at discharge from inpatient stroke rehabilitation.

作者信息

Louie Dennis R, Eng Janice J

机构信息

Rehabilitation Research Program, GF Strong Rehabilitation Centre, University of British Columbia, Vancouver, Canada.

出版信息

J Rehabil Med. 2018 Jan 10;50(1):37-44. doi: 10.2340/16501977-2280.

Abstract

OBJECTIVE

This retrospective cohort study identified inpatient rehabilitation admission variables that predict walking ability at discharge and established Berg Balance Scale cut-off scores to predict the extent of improvement in walking.

METHODS

Participants (n=123) were assessed for various cognitive and physical outcomes at admission to inpatient stroke rehabilitation. Multivariate logistic regression identified admission predictors of regaining community ambulation (gait speed ≥0.8 m/s) or unassisted ambulation (no physical assistance) after 4 weeks. Receiver operating characteristic curve analysis identified cut-off admission Berg Balance Scale scores.

RESULTS

Mini-Mental State Examination (odds ratio (OR) 1.60, 95% confidence interval (95% CI) 1.19-2.14) was a significant predictor when coupled with admission walking speed for regaining community ambulation speed; stroke type (haemorrhagic/ischaemic) was a significant predictor (OR=0.19, 95% CI 0.05-0.77) when coupled with Berg Balance Scale (OR 1.14, 95% CI 1.09-1.20). Only Berg Balance Scale was a significant predictor of regaining unassisted ambulation (OR 1.11, 95% CI 1.05-1.17). A cut-off Berg Balance Scale score of 29 on admission predicts that an individual will go on to achieve community walking speed (n=123, area under the curve (AUC)=0.88, 95% CI 0.81-0.95); a cut-off score of 12 predicts a non-ambulator to regain unassisted ambulation (n=84, AUC 0.73, 95% CI 0.62-0.84).

CONCLUSION

The Berg Balance Scale can be used at rehabilitation admission to predict the degree of improvement in walking for patients with stroke.

摘要

目的

这项回顾性队列研究确定了能预测出院时步行能力的住院康复入院变量,并建立了伯格平衡量表的临界分数,以预测步行改善程度。

方法

对123名参与者在入院接受住院卒中康复治疗时进行了各种认知和身体指标评估。多因素逻辑回归分析确定了4周后恢复社区步行能力(步速≥0.8米/秒)或独立步行能力(无需身体辅助)的入院预测因素。通过绘制受试者工作特征曲线分析确定入院时伯格平衡量表的临界分数。

结果

简易精神状态检查表(比值比(OR)为1.60,95%置信区间(95%CI)为1.19 - 2.14)与入院时步行速度相结合时,是恢复社区步行速度的显著预测因素;卒中类型(出血性/缺血性)与伯格平衡量表(OR为1.14,95%CI为1.09 - 1.20)相结合时,是一个显著预测因素(OR = 0.19,95%CI为0.05 - 0.77)。只有伯格平衡量表是恢复独立步行能力的显著预测因素(OR为1.11,95%CI为1.05 - 1.17)。入院时伯格平衡量表分数为29可预测个体将达到社区步行速度(n = 123,曲线下面积(AUC)= 0.88,95%CI为0.81 - 0.95);分数为12可预测非步行者恢复独立步行能力(n = 84,AUC为0.73,95%CI为0.62 - 0.84)。

结论

伯格平衡量表可在康复入院时用于预测卒中患者步行能力的改善程度。

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