为预测中风患者的压力损伤风险而开发和验证名录:一项回顾性队列研究
Tang Haiyan1, Zhong Quanzhen1, Liao Tingting1
1Rehabilitation Department of Zigong First People's Hospital, Zigong, Sichuan, China.
Frontiers in neurology
|September 25, 2025
概括
一种新型的脑电图可以准确预测中风患者的压力损伤 (PI),识别高风险个体,以便制定更好的干预策略. 这种工具超越了现有的方法,比如布拉登度量表用于中风后恢复.
科学领域:
- 神经学 神经学
- 老年学是一门学科.
- 临床医学 临床医学
背景情况:
- 压力损伤 (PI) 是中风后恢复过程中的重要并发症.
- 早期识别高风险患者对于有效的预防策略至关重要.
研究的目的:
- 确定中风康复患者PI的独立风险因素.
- 开发和验证PI风险的nomogram预测模型.
- 建立一个优化临床干预的框架.
主要方法:
- 284名中风患者 (85名PI病例) 的回顾性队列研究和60名患者 (30名PI病例) 的外部验证.
- 使用单变量分析和LASSO回归来确定风险因素.
- 构建并验证了一个名ogram模型,将其与布拉登尺度进行比较.
主要成果:
- 鉴定出血性中风,晚年,低albuminemia,高白细胞计数和低ADL得分作为独立PI风险因素.
- 诺米图实现了高AUC值 (0.902-0.936),表现优于个体变量和布拉登尺度 (AUC=0.817).
- 校准曲线和DCA证实了名图的强大预测准确性和临床实用性.
结论:
- 开发的诺米图是用于预测中风康复患者的PI的高度准确和有区别的工具.
- 有助于早期识别高风险个体.
- 帮助制定个性化干预策略,防止压力损伤.
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