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基于药代动力学半衰期模拟确定肝移植后乙型肝炎预防的乙型肝炎免疫球蛋白输注间隔。

Determination of Hepatitis B Immunoglobulin Infusion Interval Using Pharmacokinetic Half-life Simulation for Posttransplant Hepatitis B Prophylaxis.

机构信息

Division of Hepatobiliary Surgery and Liver Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

出版信息

J Korean Med Sci. 2019 Oct 7;34(38):e251. doi: 10.3346/jkms.2019.34.e251.

DOI:10.3346/jkms.2019.34.e251
PMID:31583871
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6776838/
Abstract

BACKGROUND

Prophylaxis for hepatitis B virus (HBV) recurrence is essential after liver transplantation (LT) in HBV-associated recipients. This study established an individualized HBV prophylaxis protocol, through optimization of hepatitis B immunoglobulin (HBIG) administration, with application of simulative half-life (SHL).

METHODS

This study involved five parts: Part 1 developed the SHL estimation method with 20 patients; Parts 2 and 3 assessed the SHL variability and developed a simulation model to apply SHL in 100 patients; Part 4 validated the simulation model in 114 patients, and Part 5 was a cross-sectional study on the current status of HBIG infusion intervals in 660 patients.

RESULTS

In Part 1, infusion of 10,000 IU HBIG induced add-on rise hepatitis B surface antibody (anti-HBs) titer of 5,252.5 ± 873.7 IU/L, which was 4.4% lower than actual measurement. Mean SHL of 20.0 ± 3.7 days was 2.2% longer than actual measurement. In Part 2, the medians of the intra- and inter-individual coefficient of variation in SHL were 13.5% and 18.5%, respectively. Pretransplant HBV DNA load and posttransplant antiviral therapy did not affect SHL. In Part 3, a simulation model was developed to determine the interval of HBIG infusion, by using SHL. In Part 4, all 114 patients were successfully managed with regular HBIG infusion intervals of ≥ 8 weeks, and the interval was prolonged to ≥ 12 weeks in 89.4%, with a target trough anti-HBs titer ≥ 200 IU/L. In Part 5, 47.4% of our patients received HBIG excessively, at a target trough titer of 500 IU/L.

CONCLUSION

SHL estimation using only clinically available parameters seems to be reliably accurate when compared with actual measurements. We believe that SHL estimation is helpful to establish a personalized HBV prophylaxis protocol for optimizing HBIG administration.

摘要

背景

在乙型肝炎病毒(HBV)相关受者进行肝移植(LT)后,预防 HBV 复发至关重要。本研究通过优化乙型肝炎免疫球蛋白(HBIG)的给药,应用模拟半衰期(SHL),建立了个体化 HBV 预防方案。

方法

本研究包括五个部分:第 1 部分使用 20 例患者开发了 SHL 估计方法;第 2 部分和第 3 部分评估了 SHL 变异性并开发了模拟模型,将其应用于 100 例患者;第 4 部分在 114 例患者中验证了模拟模型,第 5 部分是 660 例患者中 HBIG 输注间隔现状的横断面研究。

结果

第 1 部分中,输注 10000IU HBIG 诱导乙型肝炎表面抗体(抗-HBs)效价额外升高 5252.5±873.7IU/L,比实际测量低 4.4%。20.0±3.7 天的平均 SHL 比实际测量长 2.2%。第 2 部分中,SHL 的个体内和个体间变异系数的中位数分别为 13.5%和 18.5%。移植前 HBV DNA 载量和移植后抗病毒治疗均不影响 SHL。第 3 部分,开发了一种使用 SHL 确定 HBIG 输注间隔的模拟模型。第 4 部分,114 例患者均成功地接受了≥8 周的常规 HBIG 输注间隔治疗,其中 89.4%的患者将间隔延长至≥12 周,目标谷抗-HBs 效价≥200IU/L。第 5 部分,47.4%的患者HBIG 用量过多,目标谷浓度为 500IU/L。

结论

与实际测量相比,仅使用临床可用参数进行 SHL 估计似乎具有可靠的准确性。我们认为 SHL 估计有助于建立个体化 HBV 预防方案,以优化 HBIG 给药。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb8/6776838/813769c2ad8b/jkms-34-e251-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb8/6776838/6d7644d8481c/jkms-34-e251-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb8/6776838/c86011b2e3c1/jkms-34-e251-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb8/6776838/b7d3c61cbe01/jkms-34-e251-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb8/6776838/de850cd6592e/jkms-34-e251-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb8/6776838/a7c15b4c629a/jkms-34-e251-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb8/6776838/813769c2ad8b/jkms-34-e251-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb8/6776838/6d7644d8481c/jkms-34-e251-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb8/6776838/c86011b2e3c1/jkms-34-e251-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb8/6776838/b7d3c61cbe01/jkms-34-e251-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb8/6776838/de850cd6592e/jkms-34-e251-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb8/6776838/a7c15b4c629a/jkms-34-e251-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bb8/6776838/813769c2ad8b/jkms-34-e251-g006.jpg

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