Department of Pediatrics, Duke University Medical Center, Durham, NC, USA.
Duke Clinical Research Institute, 300 West Morgan Street, Suite 800, Durham, NC, 27701, USA.
Clin Pharmacokinet. 2019 Jul;58(7):887-898. doi: 10.1007/s40262-018-00733-1.
The aims of this study were to (1) determine whether opportunistically collected data can be used to develop physiologically based pharmacokinetic (PBPK) models in pediatric patients; and (2) characterize age-related maturational changes in drug disposition for the renally eliminated and hepatically metabolized antibiotic trimethoprim (TMP)-sulfamethoxazole (SMX).
We developed separate population PBPK models for TMP and SMX in children after oral administration of the combined TMP-SMX product and used sparse and opportunistically collected plasma concentration samples to validate our pediatric model. We evaluated predictability of the pediatric PBPK model based on the number of observed pediatric data out of the 90% prediction interval. We performed dosing simulations to target organ and tissue (skin) concentrations greater than the methicillin-resistant Staphylococcus aureus (MRSA) minimum inhibitory concentration (TMP 2 mg/L; SMX 9.5 mg/L) for at least 50% of the dosing interval.
We found 67-87% and 71-91% of the observed data for TMP and SMX, respectively, were captured within the 90% prediction interval across five age groups, suggesting adequate fit of our model. Our model-rederived optimal dosing of TMP at the target tissue was in the range of recommended dosing for TMP-SMX in children in all age groups by current guidelines for the treatment of MRSA.
We successfully developed a pediatric PBPK model of the combination antibiotic TMP-SMX using sparse and opportunistic pediatric pharmacokinetic samples. This novel and efficient approach has the potential to expand the use of PBPK modeling in pediatric drug development.
本研究旨在:(1)确定是否可以利用机会性采集的数据来建立儿科患者的基于生理学的药代动力学(PBPK)模型;(2)描述与年龄相关的肾清除和肝代谢抗生素复方磺胺甲噁唑(TMP-SMX)药物处置的成熟变化。
我们在儿童口服复方 TMP-SMX 产品后,分别为 TMP 和 SMX 开发了群体 PBPK 模型,并利用稀疏和机会性采集的血浆浓度样本对我们的儿科模型进行验证。我们根据儿科数据在 90%预测区间内的观察数量来评估儿科 PBPK 模型的可预测性。我们进行了给药模拟,以确保目标器官和组织(皮肤)的浓度大于耐甲氧西林金黄色葡萄球菌(MRSA)的最低抑菌浓度(TMP 2mg/L;SMX 9.5mg/L),至少在给药间隔的 50%时间内达到该浓度。
我们发现,在五个年龄组中,TMP 和 SMX 的观察数据分别有 67%-87%和 71%-91%落在 90%预测区间内,表明我们的模型拟合良好。我们的模型推导的 TMP 目标组织的最佳给药剂量在所有年龄组中均处于当前治疗 MRSA 的 TMP-SMX 儿童推荐剂量范围内。
我们成功地利用儿科药代动力学的稀疏和机会性样本,为复方抗生素 TMP-SMX 开发了儿科 PBPK 模型。这种新颖且有效的方法有可能扩大 PBPK 模型在儿科药物开发中的应用。