预测急性中风患者的住院时间和独立程度以及功能结果:一项回顾性研究
Asalet Aybüke Güp1, Özge Ipek Dongaz2, Dilara Özen Oruk2
1Institute of Health Sciences, Department of Physiotherapy and Rehabilitation, Muğla Sıtkı Koçman University, Muğla, Türkiye.
Neurological research
|August 29, 2023
概括
使用入院功能评分的预测模型可以估计急性中风患者的入院时间 (LOS) 和出院独立性. 关键预测因素包括干部损伤,上肢功能和行走能力.
科学领域:
- 神经学 神经学
- 康复医学 康复医学 康复医学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 预测停留时间 (LOS) 和功能结果对于急性中风患者管理至关重要.
- 标准化临床评估为预测结果提供了有价值的数据.
研究的目的:
- 开发预测模型来估计急性中风患者的LOS.
- 确定预测LOS和出院独立性的关键临床结果措施.
主要方法:
- 对169名急性中风患者进行了回顾性研究.
- 利用斯皮尔曼的等级相关性和逐步的多重回归分析.
- 用人接收机运行特征 (ROC) 曲线分析以评估预测值.
主要成果:
- 开发了一个预测方程,解释了81%的LOS变异.
- 确定了干部损伤,上肢运动功能,行走能力和独立程度作为重要的预测因素.
- 在ROC分析中,确定了干部损伤量表,Fugl Meyer评估-上肢和功能行走类别的截止分数,用于预测放电独立性.
结论:
- 开发的模型可以帮助临床医生预测急性中风患者的LOS和出院独立性.
- 在入院时纳入功能性结果措施可以提高预测准确度.
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