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在重症新生儿中使用万科米辛的生理学基础的药理动力学建模:评估病理生理变化的影响
Weiwei Shuai1, Jing Cao1, Miao Qian2
1Department of Pharmacy, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, Jiangsu, P. R. China.
开发了一种基于生理学的药理动力学 (PBPK) 模型,改善了危急病患新生儿的万科米辛剂量. 这种增强的模型解释了病理生理学变化,从而导致更精确的剂量建议.
科学领域:
- 药理学 药理学是指药理学的学科.
- 新生儿重症监护中心
- 计算建模 计算建模
背景情况:
- 在重症新生儿中服用万科米辛的剂量是复杂的,因为生理变化.
- 现有的药理动力学模型很难捕捉到这些动态变化.
- 准确的药理动力学模型对于优化新生儿的万科米辛治疗至关重要.
研究的目的:
- 在重症新生儿中开发一种基于生理学的药理动力学 (PBPK) 模型.
- 将病理生理变化纳入PBPK模型以提高预测准确度.
- 为优化新生儿重症监护中的万科米辛剂量策略.
主要方法:
- 使用PK-sim软件开发了一个成人PBPK模型.
- 通过缩放年龄依赖的参数,对新生儿模型 (模型1) 进行外推.
- 通过整合基于文献的病理生理学变化 (低白血症,SGA,同时服用药物) 来改进新生儿模型 (模型2).
- 使用65名新生儿的回顾性临床数据验证模型性能.
主要成果:
- 与模型1相比,包含病理生理变化的模型2显示出更高的预测性能.
- 平均绝对百分比误差从50.6% (模型1) 降至37.8% (模型2).
- 精细的PBPK模型准确地反映了危急病的新生儿中的万科米辛的药理动力学.
结论:
- 整合基于文献的病理生理变化显著提高了新生儿万科米辛剂量的PBPK模型精度.
- 这种增强的PBPK模型有助于先发性范胺剂量优化.
- 该模型为改善新生儿重症监护中的治疗药物监测提供了一个有价值的工具.
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