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重症监护病房日本患者多利培南的群体药代动力学分析。

Population pharmacokinetic analysis of doripenem for Japanese patients in intensive care unit.

机构信息

Department of Clinical Pharmacy, Oita University Hospital, Hasama-machi, Oita, Japan.

Department of Anesthesiology and Intensive Care, Faculty of Medicine, Oita University, Hasama-machi, Oita, Japan.

出版信息

Sci Rep. 2020 Dec 17;10(1):22148. doi: 10.1038/s41598-020-79076-6.

DOI:10.1038/s41598-020-79076-6
PMID:33335198
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7747597/
Abstract

We aimed to construct a novel population pharmacokinetics (PPK) model of doripenem (DRPM) for Japanese patients in intensive care unit, incorporating the clearance of DRPM by continuous renal replacement therapy (CRRT). Twenty-one patients treated with DRPM (0.25 or 0.5 g) by intravenous infusion over 1 h were included in the study. Nine of the 21 patients were receiving CRRT. Plasma samples were obtained before and 1, 2, 4, 6 and 8 h after the first DRPM administration. PPK analysis was conducted by nonlinear mixed effects modeling using a two-compartment model. Total clearance (CL) in the model was divided into CRRT clearance (CL) and body clearance (CL). The final model was: CL (L h) = CL = 3.65 × (Ccr/62.25) in the absence of CRRT, or = CL + CL = 2.49 × (Ccr/52.75) + CL in the presence of CRRT; CL = Q × 0.919 (0.919 represents non-protein binding rate of DRPM); V (L) = 10.04; V (L) = 8.13; and Q (L h) = 3.53. Using this model, CL was lower and the distribution volumes (V and V) tended to be higher compared to previous reports. Also, Ccr was selected as a significant covariate for CL. Furthermore, the contribution rate of CL to CL was 30-40%, suggesting the importance of drug removal by CRRT. The population analysis model used in this study is a useful tool for planning DRPM regimen and administration. Our novel model may contribute greatly to proper use of DRPM in patients requiring intensive care.

摘要

我们旨在构建一个新的群体药代动力学(PPK)模型,以纳入连续肾脏替代疗法(CRRT)对美罗培南(DRPM)清除率的影响,用于日本重症监护病房(ICU)的患者。该研究纳入了 21 名接受静脉输注 1 小时 0.25 或 0.5 g DRPM 治疗的患者。其中 9 名患者正在接受 CRRT。在首次 DRPM 给药前和给药后 1、2、4、6 和 8 小时采集血浆样本。使用非线性混合效应模型进行 PPK 分析,采用两室模型。模型中总清除率(CL)分为 CRRT 清除率(CL)和体清除率(CL)。最终模型为:在无 CRRT 的情况下,CL(L h)= CL= 3.65×(Ccr/62.25);在有 CRRT 的情况下,CL= CL+ CL= 2.49×(Ccr/52.75)+ CL;CL= Q×0.919(0.919 代表美罗培南的非蛋白结合率);V(L)= 10.04;V(L)= 8.13;Q(L h)= 3.53。使用该模型,与之前的报告相比,CL 更低,分布容积(V 和 V)趋于更高。此外,Ccr 被选为 CL 的重要协变量。此外,CL 对 CL 的贡献率为 30-40%,提示 CRRT 对药物清除的重要性。本研究中使用的群体分析模型是规划 DRPM 方案和给药的有用工具。我们的新模型可能会极大地促进美罗培南在需要重症监护的患者中的合理使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d62c/7747597/f9d3ffbb9706/41598_2020_79076_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d62c/7747597/82272aa0d320/41598_2020_79076_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d62c/7747597/60e6bed8c1c7/41598_2020_79076_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d62c/7747597/62d050f80d19/41598_2020_79076_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d62c/7747597/8b27c5ee7848/41598_2020_79076_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d62c/7747597/f9d3ffbb9706/41598_2020_79076_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d62c/7747597/82272aa0d320/41598_2020_79076_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d62c/7747597/60e6bed8c1c7/41598_2020_79076_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d62c/7747597/62d050f80d19/41598_2020_79076_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d62c/7747597/8b27c5ee7848/41598_2020_79076_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d62c/7747597/f9d3ffbb9706/41598_2020_79076_Fig5_HTML.jpg

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