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Developmental pharmacokinetics of gentamicin in preterm and term neonates: population modelling of a prospective study.

机译:庆大霉素在早产儿和足月儿中的发育药代动力学:前瞻性研究的人群模型。

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摘要

BACKGROUND AND OBJECTIVE: Preterm and term newborn infants show wide interindividual variability (IIV) in pharmacokinetic parameters of gentamicin. More extensive knowledge and use of predictive covariates could lead to faster attainment of therapeutic concentrations and a reduced need for concentration monitoring. This study was performed to characterize the population pharmacokinetics of gentamicin in preterm and term neonates and to identify and quantify relationships between patient characteristics and IIV. A secondary aim was to evaluate cystatin C as a marker for gentamicin clearance in this patient population. METHODS: Data were collected in a prospective study performed in the Neonatal Intensive Care Unit at the University Children's Hospital, Uppsala, Sweden. Population pharmacokinetic modelling was performed using nonlinear mixed-effects modelling (NONMEM) software. Bodyweight was included as the primary covariate according to an allometric power model. Other evaluated covariates were age (postmenstrual age, gestational age [GA], postnatal age [PNA]), markers for renal function (serum creatinine, serum cystatin C) and concomitant medication with cefuroxime, vancomycin or indometacin. Covariate-parameter relationships were explored using a stepwise covariate model building procedure. The predictive performance of the developed model was evaluated using an independent external dataset for a similar patient population. RESULTS: Sixty-one newborn infants (GA range 23.3-42.1 weeks, PNA range 0-45 days) were enrolled in the study. In total, 894 serum gentamicin samples were included in the analysis. The concentration-time profile was described using a three-compartment model. Gentamicin clearance increased with the GA and PNA (included in a nonlinear fashion). The GA was also identified as having a significant influence on the central volume of distribution, with a preterm neonate having a larger central volume of distribution per kilogram of bodyweight than a term neonate. Cystatin C and creatinine were not correlated with gentamicin clearance in this study population. The external dataset was well predicted by the developed model. CONCLUSION: Bodyweight and age (GA and PNA) were found to be major factors contributing to IIV in gentamicin clearance in neonates. Based on these data, cystatin C and serum creatinine were not correlated with gentamicin clearance and therefore not likely to be predictive markers of renal function in this patient population. Based on predictions from the developed model, preterm neonates do not reach targeted peak and trough gentamicin concentrations after a standard dosage regimen of 4 mg/kg given once daily, suggesting a need for higher loading doses and prolonged dosing intervals in this patient population.
机译:背景与目的:早产和足月新生儿庆大霉素的药代动力学参数表现出较大的个体间差异(IIV)。更广泛的知识和可预测的协变量的使用可导致更快达到治疗浓度,并减少对浓度监测的需求。进行这项研究是为了表征庆大霉素在早产和足月新生儿中的群体药代动力学,并鉴定和量化患者特征与IIV之间的关系。第二个目的是评估半胱氨酸蛋白酶抑制剂C作为该患者人群中庆大霉素清除的标志物。方法:数据是在瑞典乌普萨拉大学儿童医院新生儿重症监护室进行的一项前瞻性研究中收集的。使用非线性混合效应模型(NONMEM)软件进行群体药代动力学建模。根据异速力量模型,将体重作为主要协变量。其他评估的协变量是年龄(月经后年龄,胎龄[GA],出生后年龄[PNA]),肾功能指标(血清肌酐,血清胱抑素C)以及与头孢呋辛,万古霉素或吲哚美辛同时使用的药物。使用逐步协变量模型构建程序探索协变量-参数关系。使用独立的外部数据集针对相似的患者群体评估了开发模型的预测性能。结果:本研究纳入了61名新生儿(GA范围23.3-42.1周,PNA范围0-45天)。总共分析了894个血清庆大霉素样品。使用三室模型描述浓度-时间曲线。庆大霉素的清除率随GA和PNA(以非线性方式包括在内)增加。还确定了GA对中央分布体积有显着影响,早产新生儿每千克体重的中央分布体积比足月新生儿大。在该研究人群中,胱抑素C和肌酐与庆大霉素清除率无关。外部数据集已通过开发的模型很好地预测。结论:体重和年龄(GA和PNA)是导致新生儿庆大霉素清除率IIV的主要因素。基于这些数据,胱抑素C和血清肌酐与庆大霉素清除率无关,因此在该患者人群中不可能作为肾功能的预测指标。根据已开发模型的预测,在每天一次的4 mg / kg标准剂量方案下,早产儿未达到目标的庆大霉素谷值和谷值,这表明该患者群体需要更高的负荷剂量和更长的给药间隔。

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