在老年患者中开发和验证linezolid诱导的贫血风险预测模型:一个回顾性队列研究
Hongling Ma1, Zhaotang Gong1,2, Rihan Wu1
1Department of Pharmacy, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.
Therapeutic advances in drug safety
|September 27, 2024
概括
这项研究开发了一种名谱,用于预测老年患者的线化物诱导性贫血 (LI-AN). 该模型确定了关键的风险因素,帮助临床医生预防这种严重的不良反应.
科学领域:
- 老年医学 老年医学
- 药理学 药理学是指药理学的学科.
- 临床预测建模模型
背景情况:
- 线胺诱导性贫血 (LI-AN) 是一种严重的药物不良反应.
- 在老年患者中,LI-AN的风险因素仍然不太清楚.
研究的目的:
- 在老年患者中开发和验证LI-AN的预测性名谱.
- 在这个人口群体中确定LI-AN的关键预测因素.
主要方法:
- 使用来自内蒙古人民医院和MIMIC-IV数据库的数据进行回顾性研究设计.
- 贫血定义为血红蛋白降低到基线75%的贫血.
- 后勤回归模型用于识别预测因素和构建名图;通过ROC曲线分析和校准图表进行验证.
主要成果:
- 总共分析了231名老年患者 (151名培训,80名验证).
- 在训练组中,贫血发病率为18.54%,在验证组中为32.5%.
- 确定了预测因素:linezolid治疗的持续时间,估计的淋巴细胞过率,以及序列器官衰竭评估得分≥2.2. ROC曲线为0.830 (培训) 和0.743 (验证).
结论:
- 一个经过验证的名图有效地预测了老年患者的LI-AN.
- 该模型有助于临床医生预防贫血并优化linezolid的使用.
- 已识别的预测因素为风险分层提供了有价值的指导.
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