开发和验证住院老年医疗患者 Delirium 预测模型:一个前性队列研究
Yanli Zhao1, Yangyang Jiang1, Shen Xu2
1Department of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
BMC geriatrics
|November 14, 2025
概括
这项研究为老年住院患者开发了一种 Delirium 预测模型. 该模型准确地识别了高风险个体,使得有针对性的干预措施能够改善患者的治疗结果.
科学领域:
- 老年医学 老年医学
- 临床预测模型临床预测模型
- 医院住院患者护理 医院住院患者护理
背景情况:
- 痴呆症是老年住院成年人的常见并发症,与不良预后有关.
- 预测妄想对于及时干预和改善患者结果至关重要.
- 这项研究的重点是开发老年医疗住院患者痴呆症的预测模型.
研究的目的:
- 建立和验证住院老年医学患者的妄想预测模型.
- 确定导致该群体痴呆症发展的关键因素.
- 评估模型在歧视,校准和临床实用性方面的表现.
主要方法:
- 一项前性研究涉及1067名65岁及以上的住院患者.
- 使用逻辑回归开发一个名录模型,通过Bootstrap重新抽样内部验证.
- 使用98名患者的独立队列对最终模型进行外部验证.
主要成果:
- 最终的预测模型包括年龄,认知障碍,多药,睡眠障碍,日常生活活动,营养不良和中性粒细胞-淋巴细胞比率 (NLR).
- 该模型表现出强大的预测性能,曲线下的面积 (AUC) 为0.934 (内部验证:0.925) 和0.842 (外部验证).
- 在预测妄想时,获得了高灵敏度 (97.1%) 和特异性 (77.3%).
结论:
- 为住院的老年医疗患者开发了一种强大的妄想预测模型,并进行了外部验证.
- 该模型表现出极好的区分和校准,表明其临床适用性.
- 这种工具可以帮助识别高风险患者,以制定有针对性的妄预防策略.
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