新生儿哌拉西林-他唑巴坦群体药代动力学模型的评估:外部验证。

IF 1.9 4区 医学 Q3 PHARMACOLOGY & PHARMACY
Bhim Bahadur Chaudhari, Jaya Shree Dilli Batcha, Arun Prasath Raju, Saikumar Matcha, Leslie E Lewis, Sudheer Moorkoth, Surulivelrajan Mallayasamy
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引用次数: 0

摘要

背景和目的:新生儿药物治疗已引起临床医生和监管机构的关注,以优化药物剂量,提高这一特殊人群的治疗效果。哌拉西林-他唑巴坦抗生素通常作为治疗新生儿重症监护病房严重感染的治疗选择。很少有针对这一特定人群发表的哌拉西林和他唑巴坦的人群药代动力学(PopPK)研究,也没有在其他研究环境中得到验证。本研究的目的是外部评价已发表的哌拉西林-他唑巴坦人群药代动力学模型。方法:通过Scopus、PubMed和Embase数据库进行系统评价,确定PopPK模型。使用哌拉西林-他唑巴坦治疗的新生儿收集的临床数据来评估这些模型。使用各种基于预测的指标来评估使用单个预测的PopPK模型的偏差和精度。结果:确定了三种PopPK模型进行外部评价。从新生儿重症监护病房收治的46例新生儿共收集53份血浆样本。Cohen-Wolkowiez等人报告的哌拉西林和Li等人报告的他唑巴坦的PopPK模型能够很好地预测我们的临床数据。结论:cohn - wolkowiez等和Li等建立的PopPK模型对哌拉西林和他唑巴坦的预测效果较好,相对中位绝对预测误差(rMAPE)分别为8.61%和16.48%,相对均方根误差(rRMSE)分别为0.01和0.03。对已发表的哌拉西林和他唑巴坦PopPK模型的外部评价提高了其在临床实践中实施的可信度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Piperacillin-Tazobactam Population Pharmacokinetic Models in Neonates: An External Validation.

Background and objective: Neonatal pharmacotherapy has gained attention from clinicians and regulatory agencies for optimizing the dosage of the drug which improves therapeutic outcomes in this special population. Piperacillin-tazobactam antibiotic is commonly used as a therapeutic option for treatment of severe infection in neonatal intensive care units. There are few population pharmacokinetic (PopPK) studies of piperacillin and tazobactam published for this specific population and which were not validated in other study settings. The aim of this study was to externally evaluate the published population pharmacokinetic models for piperacillin-tazobactam.

Methods: A systematic review was conducted through Scopus, PubMed, and Embase databases to identify PopPK models. Clinical data collected in neonates treated with piperacillin-tazobactam were used for evaluation of these models. Various prediction-based metrics were used for assessing the bias and precision of PopPK models using individual predictions.

Results: Three PopPK models were identified for external evaluation. A total of 53 plasma samples were collected from 46 neonates admitted in the neonatal intensive care unit. The PopPK models reported by Cohen-Wolkowiez et al. for piperacillin and Li et al. for tazobactam were able to predict well for our clinical data.

Conclusion: The PopPK models by Cohen-Wolkowiez et al. and Li et al. predicted our data well for piperacillin and tazobactam with the lower relative median absolute predictive error (rMAPE) of 8.61% and 16.48% and relative root mean square error (rRMSE) of 0.01 and 0.03, respectively. External evaluation of the published PopPK models of piperacillin and tazobactam resulted in enhancing their credibility to be implemented in clinical practice.

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来源期刊
CiteScore
3.70
自引率
0.00%
发文量
64
审稿时长
>12 weeks
期刊介绍: Hepatology International is a peer-reviewed journal featuring articles written by clinicians, clinical researchers and basic scientists is dedicated to research and patient care issues in hepatology. This journal focuses mainly on new and emerging diagnostic and treatment options, protocols and molecular and cellular basis of disease pathogenesis, new technologies, in liver and biliary sciences. Hepatology International publishes original research articles related to clinical care and basic research; review articles; consensus guidelines for diagnosis and treatment; invited editorials, and controversies in contemporary issues. The journal does not publish case reports.
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