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步行独立预测模型TWIST中风后得分的外部验证:一个多中心,前性队列研究
Kazuhiro Miyata1, Ren Takeda2, Kayo Kotajima3
1Department of Physical Therapy, Ibaraki Prefectural University of Health Science, Ibaraki, Japan.
Neurorehabilitation and neural repair
|February 28, 2026
概括
在中风后独立行走的时间 (TWIST) 工具乐观地预测了日本中风患者的独立行走. 需要进一步验证以确认其临床影响和对中风恢复的概括性.
科学领域:
- 神经学 神经学
- 康复医学 康复医学 康复医学
- 临床预测模型临床预测模型
背景情况:
- 在中风后独立行走的时间 (TWIST) 工具预测中风后独立行走的时间.
- 外部验证对于评估TWIST工具的临床适用性和通用性至关重要.
研究的目的:
- 在多中心前景队列中对TWIST预测工具进行地理外部验证.
- 评估TWIST工具在预测日本中风患者群体的行走独立性方面的表现.
主要方法:
- 成年中风患者的下肢软弱和无法独立行走被纳入.
- 在中风后1周计算TWIST分数,使用年龄,膝盖伸展强度和Berg平衡量.
- 在预测时间点 (4,6,9,16,26周) 评估了模型合适性,校准和歧视.
主要成果:
- 验证队列包括145名患者;60.7%和72.4%的患者分别在9周和26周实现了独立行走.
- TWIST工具显示了良好的区分 (c-统计>0.75) 和中等适合 (Nagelkerke R2 0.28-0.49).
- 校准分析显示,在所有时间点都出现了一致的过度预测,特别是早期较高的TWIST得分和较晚的较低得分.
结论:
- 在日本中风患者中,TWIST预测工具表现出对行走独立性的乐观预测.
- 该工具的过度预测表明了该群体目前校准的潜在局限性.
- 进一步的验证研究对于完善TWIST工具在不同中风群体中的临床实用性和通用性至关重要.
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