Santacana Eugènia, Rodríguez-Alonso Lorena, Padullés Ariadna, Guardiola Jordi, Rodríguez-Moranta Francisco, Serra Katja, Bas Jordi, Morandeira Biology Francisco, Colom Helena, Padullés Núria
Departments of Pharmacy.
Gastroenterology, and.
Ther Drug Monit. 2018 Feb;40(1):120-129. doi: 10.1097/FTD.0000000000000476.
Infliximab (IFX) trough levels vary markedly between patients with inflammatory bowel disease (IBD), which is important for clinical response. The aim of this study was to evaluate the performance of previously developed population pharmacokinetic models in patients with IBD for dose individualization for Crohn disease (CD) and ulcerative colitis in our clinical setting.
The authors collected 370 trough levels prospectively from 100 adult patients with IBD who were undergoing IFX treatment between July 2013 and August 2016. The external evaluation included prediction- and simulation-based diagnostics [prediction-corrected visual predictive check, prediction- and variability-corrected visual predictive check, and normalized prediction distribution error tests].
In prediction-based diagnostics, the authors observed a nonsignificant overall mean relative bias of -6.87% and an acceptable imprecision of 8.45%. Approximately 100% of the prediction error was within ±30%, indicating satisfactory predictability. Simulation-based diagnostics indicated model misspecification; thus, the model may not be appropriate for simulation-based applications.
While simulation-based diagnostics provided unsatisfactory results, the prediction-based diagnostics demonstrate that the population pharmacokinetic model developed by Fasanmade et al for CD can be used to predict and design individualized IFX dose regimens that meet the individual needs of patients with CD and ulcerative colitis.
炎症性肠病(IBD)患者中,英夫利昔单抗(IFX)的谷浓度在患者之间差异显著,这对临床反应很重要。本研究的目的是评估先前开发的群体药代动力学模型在IBD患者中针对克罗恩病(CD)和溃疡性结肠炎进行剂量个体化的性能,以应用于我们的临床环境。
作者前瞻性收集了2013年7月至2016年8月期间接受IFX治疗的100例成年IBD患者的370个谷浓度数据。外部评估包括基于预测和模拟的诊断方法[预测校正视觉预测检查、预测和变异性校正视觉预测检查以及标准化预测分布误差测试]。
在基于预测的诊断中,作者观察到总体平均相对偏差为-6.87%,无统计学意义,不精密度为8.45%,可接受。约100%的预测误差在±30%以内,表明预测性令人满意。基于模拟的诊断表明模型设定错误;因此,该模型可能不适用于基于模拟的应用。
虽然基于模拟的诊断结果不理想,但基于预测的诊断表明,Fasanmade等人开发的用于CD的群体药代动力学模型可用于预测和设计个体化的IFX给药方案,以满足CD和溃疡性结肠炎患者的个体需求。