基于模型的取样计划优化,实现对小儿患者每日一次和每日四次布舒凡的精确给药。

IF 2.8 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Khalil Ben Hassine, Youssef Daali, Yvonne Gloor, Tiago Nava, Yves Théorêt, Maja Krajinovic, Henrique Bittencourt, Chakradhara Rao Satyanarayana Uppugunduri, Marc Ansari
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引用次数: 0

摘要

背景:治疗药物监测(TDM)是通过指导硫丹(Bu)剂量优化造血干细胞移植疗效的关键。有限的采样策略有望有效调整药物剂量。然而,对儿科患者硫丹剂量管理(Bu TDM)采样计划的全面评估和优化还很有限。我们的目标是为儿科患者每日一次(q24h)和每日四次(q6h)Bu给药的模型信息精确给药(MIPD)建立最佳采样设计:模拟数据集用于评估不同有限采样策略设计下基于群体药代动力学模型的贝叶斯浓度-时间曲线下面积(AUC)估算。评估以平均预测误差(准确度)和均方根误差(精确度)为基础。这些结果通过患者观察数据进行了验证。此外,还在 Tucuxi 软件中实施了 MIPD 方案,并对其性能进行了评估:结果:我们的贝叶斯估计方法允许灵活的采样时间,同时将平均预测误差保持在±5%以内,均方根误差低于10%。采用双采样和单采样计划,分别对 q6h 和 q24h 给药进行了精确的 AUC0-24h 和累积 AUC 估算。要准确估算累积暴露量,尤其是在接受 q6h Bu 给药的患者中,需要分别在两天内进行 TDM。通过观察患者数据进行验证,证实了所建议的有限采样方案的精确性。在 Tucuxi 软件中实施 MIPD 方案可获得可靠的 AUC 估计值:我们的研究成功地为儿科患者建立了精确的布氏 MIPD 有限采样方案。我们的研究结果强调了至少进行两次 TDM 以准确达到所需布暴露量的重要性。所制定的 MIPD 方案及其在 Tucuxi 软件中的实施为儿科造血干细胞移植中的常规 TDM 提供了宝贵的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation-Based Optimization of Sampling Schedules for Model-Informed Precision Dosing of Once-Daily and 4-Times-Daily Busulfan in Pediatric Patients.

Background: Therapeutic drug monitoring (TDM) is crucial in optimizing the outcomes of hematopoietic stem cell transplantation by guiding busulfan (Bu) dosing. Limited sampling strategies show promise for efficiently adjusting drug doses. However, comprehensive assessments and optimization of sampling schedules for Bu TDM in pediatric patients are limited. We aimed to establish optimal sampling designs for model-informed precision dosing (MIPD) of once-daily (q24h) and 4-times-daily (q6h) Bu administration in pediatric patients.

Methods: Simulated data sets were used to evaluate the population pharmacokinetic model-based Bayesian estimation of the area under the concentration-time curve (AUC) for different limited sampling strategy designs. The evaluation was based on the mean prediction error for accuracy and root mean square error for precision. These findings were validated using patient-observed data. In addition, the MIPD protocol was implemented in the Tucuxi software, and its performance was assessed.

Results: Our Bayesian estimation approach allowed for flexible sampling times while maintaining mean prediction error within ±5% and root mean square error below 10%. Accurate and precise AUC0-24h and cumulative AUC estimations were obtained using 2-sample and single-sample schedules for q6h and q24h dosing, respectively. TDM on 2 separate days was necessary to accurately estimate cumulative exposure, especially in patients receiving q6h Bu. Validation with observed patient data confirmed the precision of the proposed limited sampling scenarios. Implementing the MIPD protocol in Tucuxi software yielded reliable AUC estimations.

Conclusions: Our study successfully established precise limited sampling protocols for MIPD of Bu in pediatric patients. Our findings underscore the importance of TDM on at least 2 occasions to accurately achieve desired Bu exposures. The developed MIPD protocol and its implementation in Tucuxi software provide a valuable tool for routine TDM in pediatric hematopoietic stem cell transplantation.

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来源期刊
Therapeutic Drug Monitoring
Therapeutic Drug Monitoring 医学-毒理学
CiteScore
5.00
自引率
8.00%
发文量
213
审稿时长
4-8 weeks
期刊介绍: Therapeutic Drug Monitoring is a peer-reviewed, multidisciplinary journal directed to an audience of pharmacologists, clinical chemists, laboratorians, pharmacists, drug researchers and toxicologists. It fosters the exchange of knowledge among the various disciplines–clinical pharmacology, pathology, toxicology, analytical chemistry–that share a common interest in Therapeutic Drug Monitoring. The journal presents studies detailing the various factors that affect the rate and extent drugs are absorbed, metabolized, and excreted. Regular features include review articles on specific classes of drugs, original articles, case reports, technical notes, and continuing education articles.
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