在新生儿中评估皮佩拉西林-塔佐巴克坦人口药动力学模型:外部验证
Bhim Bahadur Chaudhari1, Jaya Shree Dilli Batcha2,3, Arun Prasath Raju2,3
1Department of Quality Assurance, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, India.
European journal of drug metabolism and pharmacokinetics
|December 16, 2024
概括
这项研究评估了新生儿中piperacillin-tazobactam的人口药理动力学 (PopPK) 模型. 科恩-沃尔科维兹等人的模型. 和李等等人. 显示出良好的预测性能,增强了它们在新生儿抗生素治疗中的临床实施.
科学领域:
- 药理学 药理学是指药理学的学科.
- 新生儿医学 新生儿医学
- 抗生素治疗 抗生素治疗
背景情况:
- 新生儿药物治疗需要优化药物剂量以改善结果.
- 皮佩拉西林-塔扎巴克坦对于治疗严重的新生儿感染至关重要.
- 对于新生儿的piperacillin-tazobactam,存在有限的验证的人口药理动力学 (PopPK) 模型.
研究的目的:
- 为了外部评估现有的PopPK模型的piperacillin-tazobactam.
- 评估这些模型在新生儿重症监护室 (NICU) 人群中的预测性能.
- 确定已建立的PopPK模型是否适用于新生儿的临床应用.
主要方法:
- 对Scopus,PubMed和Embase的系统文献审查,以确定相关的PopPK模型.
- 已识别的模型的外部验证,使用用皮佩拉西林-塔扎巴克坦治疗新生儿的临床数据.
- 使用基于预测的指标和个人预测评估模型偏差和精度.
主要成果:
- 三个PopPK模型被确定用于外部评估.
- 来自46名新生儿的数据 (53个血样本) 用于模型评估.
- 科恩-沃尔科维兹等人的PopPK模型. (皮佩拉西林) 和李等人. (tazobactam) 显示出良好的预测准确性.
结论:
- 对piperacillin和tazobactam进行评估的PopPK模型显示,在低rMAPE和rRMSE的情况下,具有强大的预测能力.
- 外部验证提高了这些PopPK模型在临床使用中的可信度.
- 这些经过验证的模型可以支持在新生儿重症监护中优化piperacillin-tazobactam剂量.
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