住院患者中甲诱导的运动障碍的临床预测:使用真实数据的基于名录的模型
Liqiang Cui1,2,3, Man Zhu2, Tianlin Wang2
1Chinese PLA Medical School, Beijing, 100853, China.
International journal of clinical pharmacy
|August 19, 2025
概括
由氨酸 (VPA) 引起的药物诱导运动障碍 (DIMD) 是常见的. 使用常规临床数据的新预测模型可以识别高风险患者进行早期干预.
科学领域:
- 药物监督 药物监督 药物监督
- 临床信息学 临床信息学
- 机器学习在医学中的应用
背景情况:
- 药物诱导的运动障碍 (DIMDs) 经常是药物的不充分诊断的并发症.
- 酸 (VPA) 是一种常见的抗药,与DIMDs有关.
- 使用电子健康记录的预测建模为早期ADR检测提供了一条途径.
研究的目的:
- 执行与VPA相关的DIMDs的现实世界监控.
- 为了确定VPA诱导的DIMD的风险因素.
- 开发和验证用于早期DIMD风险评估的临床预测模型.
主要方法:
- 在VPA (2018-2022) 的住院患者的回顾性病例控制研究.
- 自动警报和纳拉尼奥尺度用于DIMD识别和因果关系评估.
- 用于模型开发的LASSO后勤回归;用于可视化的名图;用于性能评估的ROC,校准,DCA和CIC.
主要成果:
- 在6692名患者中的98名患者中,观察到与VPA相关的DIMD发生率为1.46%.
- 保护因素包括较高的淋巴细胞和红细胞计数,血清和 levetiracetam 同时使用.
- 预测模型显示出良好的区别 (AUC=0.774) 和临床效用,具有稳定的外部验证.
结论:
- 与VPA相关的DIMD在住院患者中是一个重大问题.
- 一个经过验证的预测模型可以识别患有DIMDs高风险和中等风险的患者.
- 该模型支持及时监测和有针对性的干预措施,以减轻药物不良反应.
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