一个试点临床风险模型来预测polymyxin诱导的毒性:一个现实世界,回顾性队列研究
Mong-Hsiu Song1,2, Bi-Xiao Xiang1,3, Chien-Yi Yang2
1Department of Pharmacy, The Third Xiangya Hospital of Central South University, Changsha, Hunan 410013, China.
The Journal of antimicrobial chemotherapy
|July 1, 2024
概括
这项研究开发了一种风险评分工具,用于预测重症患者中聚胺诱导的毒性 (PIN). 该工具可以识别有风险的患者,有助于更安全地使用多素并改善临床结果.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 关键护理医学 关键护理医学
- 药理学 药理学是指药理学的学科.
背景情况:
- 聚米辛诱导的毒性 (PIN) 构成了重大的临床挑战,限制了这些重要抗生素的使用.
- 早期识别患有PIN风险的患者对于优化治疗策略和患者安全至关重要.
研究的目的:
- 为了调查与多素诱导的毒性相关的风险因素.
- 开发和验证一个预测评分工具,用于早期识别患有PIN风险的患者.
主要方法:
- 分析了一组接受静脉注射聚米克辛的重症患者队列.
- 使用LASSO和XGBoost的后勤回归被用来确定PIN的显著预测因素.
- 开发了一种二进制物流回归模型,并在内部,临时和外部验证.
主要成果:
- 在508名患者中,有161名患者 (31.6%) 患有PIN.
- 确定的关键预测因素包括多聚素类型,加载剂量,败血栓休克,血管压缩剂使用和基线BUN.
- 开发的风险评分工具在所有验证集中显示出强大的预测性能 (AUC从0.708到0.874不等).
结论:
- 已经建立了一个有效的风险评分工具来预测PIN.
- 这种工具可以有效地在施用多素之前识别患有PIN风险的患者,从而实现主动管理.
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