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物理治疗师对中风后独立行走的预测准确性。

Accuracy of Physiotherapist Predictions for Independent Walking After Stroke.

机构信息

Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

Department of Exercise Sciences, Faculty of Science, University of Auckland, Auckland, New Zealand.

出版信息

Neurorehabil Neural Repair. 2024 Oct;38(10):742-751. doi: 10.1177/15459683241270055. Epub 2024 Aug 20.

DOI:10.1177/15459683241270055
PMID:39162247
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11487864/
Abstract

BACKGROUND

The use of prediction tools in stroke rehabilitation research and clinical practice is increasing, but it is not clear whether these prediction tools out-perform clinician predictions.

OBJECTIVE

This study aimed to compare physiotherapist predictions for independent walking with the Time to Walking Independently after STroke (TWIST) prediction tool.

METHODS

Adults with new lower limb weakness and unable to walk independently (Functional Ambulation Category [FAC] < 4) were recruited. At 1 week post-stroke, the treating physiotherapist was asked to predict whether their patient would achieve independent walking by 4, 6, 9, 12, 16, or 26 weeks, or remain dependent. Predictions were also made using the TWIST prediction tool, but not shared. Binary logistic regressions were conducted with the time independent walking was achieved as the dependent variable and independent variables were the physiotherapist and TWIST predictions.

RESULTS

Ninety-one participants were included (median age 71 years, 36 [40%] female). Most participants (67 [74%]) were non-ambulatory (FAC = 0) at 1-week post-stroke. Thirty-seven physiotherapists were recruited. Physiotherapists made accurate predictions for time taken to achieve independent walking for 39 participants (43%). Prediction accuracy was not related to physiotherapist confidence or years of stroke-specific experience. TWIST out-performed physiotherapist predictions (Physiotherapists 76%-77%, TWIST 86%-88% accurate) for participants who achieved independent walking by 4, 6, and 9 weeks post-stroke. Accuracy of physiotherapist and TWIST predictions was similar for 16 and 26 weeks post-stroke.

CONCLUSIONS

The TWIST prediction tool is more accurate than physiotherapists at predicting whether a patient will achieve independent walking by 4, 6, or 9 weeks post-stroke, but not for 16 or 26 weeks post-stroke. TWIST may be useful to inform early rehabilitation and discharge planning. Clinical Trial Registration-URL: www.anzctr.org.au Unique Identifier: ACTRN12617001434381.

摘要

背景

预测工具在中风康复研究和临床实践中的应用越来越多,但尚不清楚这些预测工具是否优于临床医生的预测。

目的

本研究旨在比较物理治疗师对独立行走的预测与中风后独立行走时间(TWIST)预测工具。

方法

招募新出现下肢无力且无法独立行走(功能步行分类[FAC] < 4)的成年人。在中风后 1 周,要求治疗师物理治疗师预测他们的患者在 4、6、9、12、16 或 26 周内是否能够独立行走,或保持依赖状态。还使用 TWIST 预测工具进行了预测,但不共享。以是否能够独立行走的时间为因变量,将物理治疗师和 TWIST 预测作为自变量进行二元逻辑回归。

结果

共纳入 91 名参与者(中位数年龄 71 岁,36 [40%] 为女性)。大多数参与者(67 [74%])在中风后 1 周时无法行走(FAC = 0)。共招募了 37 名物理治疗师。物理治疗师对 39 名参与者(43%)达到独立行走所需的时间做出了准确的预测。预测准确性与治疗师的信心或中风特定经验年限无关。TWIST 在预测 4、6 和 9 周内实现独立行走的参与者方面优于物理治疗师预测(物理治疗师 76%-77%,TWIST 86%-88%准确)。在 16 和 26 周后,物理治疗师和 TWIST 预测的准确性相似。

结论

与物理治疗师相比,TWIST 预测工具在预测患者是否能在中风后 4、6 或 9 周内实现独立行走方面更准确,但在 16 或 26 周后则不然。TWIST 可能有助于为早期康复和出院计划提供信息。临床试验注册网址:www.anzctr.org.au。独特标识符:ACTRN12617001434381。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d67/11487864/e26d62cbc494/10.1177_15459683241270055-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d67/11487864/6319c1595b59/10.1177_15459683241270055-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d67/11487864/e26d62cbc494/10.1177_15459683241270055-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d67/11487864/6319c1595b59/10.1177_15459683241270055-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d67/11487864/e26d62cbc494/10.1177_15459683241270055-fig2.jpg

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本文引用的文献

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The TWIST Tool Predicts When Patients Will Recover Independent Walking After Stroke: An Observational Study.TWIST 工具可预测脑卒中患者何时能恢复独立行走:一项观察性研究。
Neurorehabil Neural Repair. 2022 Jul;36(7):461-471. doi: 10.1177/15459683221085287. Epub 2022 May 18.
2
Prediction of Independent Walking in People Who Are Nonambulatory Early After Stroke: A Systematic Review.脑卒中后早期非卧床患者独立行走能力预测:系统评价。
Stroke. 2021 Oct;52(10):3217-3224. doi: 10.1161/STROKEAHA.120.032345. Epub 2021 Jul 9.
3
Exploring physiotherapists' and occupational therapists' perceptions of the upper limb prediction algorithm PREP2 after stroke in a rehabilitation setting: a qualitative study.
在康复环境中探索物理治疗师和职业治疗师对中风后上肢预测算法 PREP2 的看法:一项定性研究。
BMJ Open. 2021 Apr 7;11(4):e038880. doi: 10.1136/bmjopen-2020-038880.
4
Factors associated with time to independent walking recovery post-stroke.与脑卒中后独立行走恢复时间相关的因素。
J Neurol Neurosurg Psychiatry. 2021 Jul;92(7):702-708. doi: 10.1136/jnnp-2020-325125. Epub 2021 Mar 17.
5
Implementing the PREP2 Algorithm to Predict Upper Limb Recovery Potential After Stroke in Clinical Practice: A Qualitative Study.实施 PREP2 算法预测中风后上肢恢复潜力:一项定性研究。
Phys Ther. 2021 May 4;101(5). doi: 10.1093/ptj/pzab040.
6
Prediction Tools for Stroke Rehabilitation.中风康复的预测工具
Stroke. 2019 Nov;50(11):3314-3322. doi: 10.1161/STROKEAHA.119.025696. Epub 2019 Oct 15.
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Implementing biomarkers to predict motor recovery after stroke.应用生物标志物预测中风后的运动恢复。
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