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利用机会性药代动力学数据开发克林霉素小儿药代动力学模型。

Development of a Pediatric Physiologically-Based Pharmacokinetic Model of Clindamycin Using Opportunistic Pharmacokinetic Data.

机构信息

Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA.

Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.

出版信息

Clin Pharmacokinet. 2017 Nov;56(11):1343-1353. doi: 10.1007/s40262-017-0525-5.

Abstract

Physiologically-based pharmacokinetic (PBPK) modeling is a powerful tool used to characterize maturational changes in drug disposition to inform dosing across childhood; however, its use is limited in pediatric drug development. Access to pediatric pharmacokinetic data is a barrier to widespread application of this model, which impedes its development and optimization. To support the development of a pediatric PBPK model, we sought to leverage opportunistically-collected plasma concentrations of the commonly used antibiotic clindamycin. The pediatric PBPK model was optimized following development of an adult PBPK model that adequately described literature data. We evaluated the predictability of the pediatric population PBPK model across four age groups and found that 63-93% of the observed data were captured within the 90% prediction interval of the model. We then used the pediatric PBPK model to optimize intravenous clindamycin dosing for a future prospective validation trial. The optimal dosing proposed by this model was 9 mg/kg/dose in children ≤5 months of age, 12 mg/kg/dose in children >5 months-6 years of age, and 10 mg/kg/dose in children 6-18 years of age, all administered every 8 h. The simulated exposures achieved with the dosing regimen proposed were comparable with adult plasma and tissue exposures for the treatment of community-acquired methicillin-resistant Staphylococcus aureus infections. Our model demonstrated the feasibility of using opportunistic pediatric data to develop pediatric PBPK models, extending the reach of this powerful modeling tool and potentially transforming the pediatric drug development field.

摘要

基于生理学的药代动力学(PBPK)模型是一种用于描述药物处置在儿童期成熟变化的有力工具,可为儿童用药剂量提供信息;然而,它在儿科药物开发中的应用受到限制。获得儿科药代动力学数据是广泛应用该模型的障碍,这阻碍了它的发展和优化。为了支持儿科 PBPK 模型的开发,我们试图利用机会收集的常用抗生素克林霉素的血浆浓度。在开发能够充分描述文献数据的成人 PBPK 模型之后,对儿科 PBPK 模型进行了优化。我们评估了儿科人群 PBPK 模型在四个年龄组中的预测能力,发现模型对 63-93%的观察数据具有预测能力。然后,我们使用儿科 PBPK 模型来优化未来前瞻性验证试验中的静脉注射克林霉素给药方案。该模型建议的最佳给药方案为≤5 个月的儿童 9mg/kg/剂量,>5 个月至 6 岁的儿童 12mg/kg/剂量,6-18 岁的儿童 10mg/kg/剂量,所有剂量均每 8 小时给药一次。拟议的给药方案所产生的模拟暴露与成人治疗社区获得性耐甲氧西林金黄色葡萄球菌感染的血浆和组织暴露相当。我们的模型证明了使用机会性儿科数据开发儿科 PBPK 模型的可行性,扩展了这种强大建模工具的应用范围,并有可能改变儿科药物开发领域。

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