Department of Paediatrics, Zuyderland Medical Center, Dr. H. van der Hoffplein 1, 6162 BG, Sittard-Geleen, The Netherlands.
NUTRIM, School of Nutrition and Translational Research in Metabolism, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.
Clin Pharmacokinet. 2024 Apr;63(4):529-538. doi: 10.1007/s40262-024-01354-7. Epub 2024 Mar 15.
Efficacy of infliximab in children with inflammatory bowel disease can be enhanced when serum concentrations are measured and further dosing is adjusted to achieve and maintain a target concentration. Use of a population pharmacokinetic model may help to predict an individual's infliximab dose requirement. The aim of this study was to evaluate the predictive performance of available infliximab population pharmacokinetic models in an independent cohort of Dutch children with inflammatory bowel disease.
In this retrospective study, we used data of 70 children with inflammatory bowel disease (443 infliximab concentrations) to evaluate eight models that focused on infliximab pharmacokinetic models in individuals with inflammatory bowel disease, preferably aged ≤ 18 years. Predictive performance was evaluated with prior predictions (based solely on patient-specific covariates) and posterior predictions (based on covariates and infliximab trough concentrations). Model accuracy and precision were calculated with relative bias and relative root mean square error and we determined the classification accuracy at the trough concentration target of ≥ 5 mg/L.
The population pharmacokinetic model by Fasanmade was identified to be most appropriate for the total dataset (relative bias before/after therapeutic drug monitoring: -20.7%/11.2% and relative root mean square error before/after therapeutic drug monitoring: 84.1%/51.6%), although differences between models were small and several were deemed suitable for clinical use. For the Fasanmade model, sensitivity and specificity for maximum posterior predictions for the next infliximab trough concentration to be ≥ 5 mg/L were respectively 83.5% and 80% with an area under the receiver operating characteristic curve of 0.870.
In our paediatric cohort, various models provided acceptable predictive performance, with the Fasanmade model deemed most suitable for clinical use. Model-informed precision dosing can therefore be expected to help to maintain infliximab trough concentrations in the target range.
通过测量血清浓度并进一步调整剂量以达到并维持目标浓度,可以提高英夫利昔单抗在儿童炎症性肠病患者中的疗效。使用群体药代动力学模型可能有助于预测个体对英夫利昔单抗的剂量需求。本研究旨在评估现有的英夫利昔单抗群体药代动力学模型在荷兰独立的炎症性肠病儿童队列中的预测性能。
在这项回顾性研究中,我们使用了 70 名炎症性肠病儿童的数据(443 个英夫利昔单抗浓度),以评估 8 个模型,这些模型主要针对炎症性肠病患者的英夫利昔单抗药代动力学模型,最好是年龄≤18 岁的患者。预测性能通过先验预测(仅基于患者特定的协变量)和后验预测(基于协变量和英夫利昔单抗谷浓度)进行评估。通过相对偏差和相对均方根误差来计算模型的准确性和精密度,并确定谷浓度目标≥5mg/L 的分类准确性。
Fasanmade 的群体药代动力学模型被确定为最适合整个数据集的模型(治疗药物监测前后的群体药代动力学模型相对偏差:-20.7%/11.2%和治疗药物监测前后的相对均方根误差:84.1%/51.6%),尽管模型之间的差异很小,并且有几个模型被认为适合临床使用。对于 Fasanmade 模型,下一次英夫利昔单抗谷浓度≥5mg/L 的最大后验预测的敏感性和特异性分别为 83.5%和 80%,接收器操作特征曲线下的面积为 0.870。
在我们的儿科队列中,各种模型提供了可接受的预测性能,其中 Fasanmade 模型被认为最适合临床使用。因此,可以预期模型指导的精准给药有助于维持英夫利昔单抗的谷浓度在目标范围内。