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鉴定影响危重症患者美罗培南药代动力学的因素:炎症对清除率的影响。

Identification of factors affecting meropenem pharmacokinetics in critically ill patients: Impact of inflammation on clearance.

机构信息

Division of Pharmacy, Chiba University Hospital, Chiba, Japan.

Division of Pharmacy, Chiba University Hospital, Chiba, Japan.

出版信息

J Infect Chemother. 2022 Apr;28(4):532-538. doi: 10.1016/j.jiac.2021.12.017. Epub 2021 Dec 30.

Abstract

INTRODUCTION

The purpose of this study was to explore factors influencing meropenem pharmacokinetics (PKs) in critically ill patients by developing a population PK model and to determine the optimal dosing strategy.

METHODS

This prospective observational study involved 12 critically ill patients admitted to the intensive care unit and treated with meropenem 1 g infused over 1 h every 8 h. Blood samples were collected on days 1, 2, and 5 immediately prior to dosing, and at 1, 2, 4, and 6 h after the start of infusion. Population PK parameters were estimated using nonlinear mixed-effects model software.

RESULTS

Meropenem PK was adequately described using a two-compartment model. Typical values of total and inter-compartmental clearance were 9.30 L/h and 9.70 L/h, respectively, and the central and peripheral compartment volumes of distribution were 12.61 L and 7.80 L, respectively. C-reactive protein (CRP) was identified as significant covariate affecting total meropenem clearance. The probability of target attainment (PTA) predicted by Monte Carlo simulations varied according to the patients' CRP. The PTA of 100% time above the minimum inhibitory concentration ≤2 mg/L for bacteria was achieved after a dose of 1 and 2 g infused over 4 h every 8 h in patients with CRP of 30 and 5 mg/dL, respectively.

CONCLUSION

The findings of this study suggest that CRP might be helpful in managing meropenem dosing in critically ill patients. Higher doses and extended infusion may be required to achieve optimal pharmacodynamic targets.

摘要

简介

本研究旨在通过建立群体药代动力学(PK)模型,探讨影响重症患者美罗培南 PK 的因素,并确定最佳给药方案。

方法

本前瞻性观察研究纳入了 12 名入住重症监护病房并接受美罗培南 1g,每 8 小时静脉滴注 1 小时的重症患者。在给药前第 1、2 和 5 天以及滴注开始后 1、2、4 和 6 小时采集血样。使用非线性混合效应模型软件估算群体 PK 参数。

结果

美罗培南 PK 可以通过两室模型很好地描述。总清除率和隔室间清除率的典型值分别为 9.30 L/h 和 9.70 L/h,中央和外周分布容积分别为 12.61 L 和 7.80 L。C 反应蛋白(CRP)被确定为影响美罗培南总清除率的显著协变量。蒙特卡罗模拟预测的目标达到率(PTA)根据患者的 CRP 而有所不同。在 CRP 分别为 30 和 5mg/dL 的患者中,每 8 小时给予 1g 和 2g 静脉滴注 4 小时,细菌最低抑菌浓度(MIC)≤2mg/L 以上时间的 PTA 达到 100%。

结论

本研究结果表明,CRP 可能有助于管理重症患者的美罗培南剂量。为了达到最佳药效学目标,可能需要更高的剂量和延长输注时间。

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