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开发人口和贝叶斯模型,用于接受头孢吡肟治疗的患者的应用。

Development of Population and Bayesian Models for Applied Use in Patients Receiving Cefepime.

机构信息

Midwestern University Chicago College of Pharmacy, 555 31st Street, Downers Grove, IL, 60515, USA.

Northwestern Memorial Hospital, Chicago, IL, USA.

出版信息

Clin Pharmacokinet. 2020 Aug;59(8):1027-1036. doi: 10.1007/s40262-020-00873-3.

Abstract

BACKGROUND AND OBJECTIVE

Understanding pharmacokinetic disposition of cefepime, a β-lactam antibiotic, is crucial for developing regimens to achieve optimal exposure and improved clinical outcomes. This study sought to develop and evaluate a unified population pharmacokinetic model in both pediatric and adult patients receiving cefepime treatment.

METHODS

Multiple physiologically relevant models were fit to pediatric and adult subject data. To evaluate the final model performance, a withheld group of 12 pediatric patients and two separate adult populations were assessed.

RESULTS

Seventy subjects with a total of 604 cefepime concentrations were included in this study. All adults (n = 34) on average weighed 82.7 kg and displayed a mean creatinine clearance of 106.7 mL/min. All pediatric subjects (n = 36) had mean weight and creatinine clearance of 16.0 kg and 195.6 mL/min, respectively. A covariate-adjusted two-compartment model described the observed concentrations well (population model R, 87.0%; Bayesian model R, 96.5%). In the evaluation subsets, the model performed similarly well (population R, 84.0%; Bayesian R, 90.2%).

CONCLUSION

The identified model serves well for population dosing and as a Bayesian prior for precision dosing.

摘要

背景与目的

了解β-内酰胺类抗生素头孢吡肟的药代动力学特征对于制定方案以实现最佳暴露和改善临床结局至关重要。本研究旨在建立并评估一个在儿童和成人患者中接受头孢吡肟治疗的统一群体药代动力学模型。

方法

将多个与生理相关的模型拟合到儿科和成年受试者的数据中。为了评估最终模型的性能,我们评估了一个包含 12 名儿科患者的保留组和两个独立的成年人群。

结果

本研究共纳入 70 名受试者,总计 604 个头孢吡肟浓度。所有成人(n=34)平均体重为 82.7kg,平均肌酐清除率为 106.7mL/min。所有儿科受试者(n=36)的平均体重和肌酐清除率分别为 16.0kg 和 195.6mL/min。经协变量调整的两室模型能够很好地描述观察到的浓度(群体模型 R2,87.0%;贝叶斯模型 R2,96.5%)。在评估子集中,该模型的表现也相当出色(群体 R2,84.0%;贝叶斯 R2,90.2%)。

结论

所确定的模型可用于群体给药,也可作为精准给药的贝叶斯先验。

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