通过建模和模拟,确定儿科重症监护室中美罗的最佳剂量策略
Ronaldo Morales Junior1, Tomoyuki Mizuno1,2, Kelli M Paice1,3
1Division of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
The Journal of antimicrobial chemotherapy
|August 2, 2024
概括
针对重症儿童和年轻成年人,使用人口药理动力学模型确定了精确的美罗胺剂量. 这项研究提供了优化的剂量策略,以改善严重感染的治疗结果.
科学领域:
- 药理学 药理学是指药理学的学科.
- 临界护理医学 临界护理医学
- 儿科 儿科 儿科
背景情况:
- 梅洛对于严重感染至关重要,但由于药理动力学变异性,在重症患者中剂量具有挑战性.
- 优化美罗胺剂量对于儿童和年轻成人重症监护病房的有效治疗至关重要.
研究的目的:
- 在重症儿科和年轻成人患者中开发梅罗的种群药理学 (PPK) 模型.
- 建立基于证据的剂量建议,以改善这种脆弱人群中美罗的疗效.
主要方法:
- 从48名重症儿科和年轻成人患者收集前性数据和机会性血采样.
- 使用Monolix®开发PPK模型的非线性混合效应建模 (NLME).
- 蒙特卡洛模拟用于评估对敏感病原体的剂量方案 (MIC ≤ 2 mg/L).
主要成果:
- 开发了一种具有第一阶淘汰的两部分模型,其中包含了对体重的全米缩放.
- 肌素清除和液体平衡被确定为影响美罗胺清除和分布量的关键共变量.
- 模拟表明,通过3小时输液每8小时20毫克/公斤优化了目标的实现 (40% fT>MIC);对于更高的目标,需要持续输液.
结论:
- 一个强大的meropenem PPK模型成功地使用了来自重症儿科和年轻成人患者的真实数据来开发.
- 提供剂量建议,考虑个体患者的因素,如功能和液体状况.
- 这个模型和建议可以指导优化儿科和年轻成人重症监护机构的美罗胺治疗.
相关概念视频
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