INSERM, UMR 1059, Dysfonction Vasculaire et de l'Hémostase, Université de Lyon, Saint Etienne, France.
Unité d'Hémostase Clinique, Hôpital Cardiologique Louis Pradel, Université Lyon 1, Lyon, France.
Br J Clin Pharmacol. 2019 Apr;85(4):771-781. doi: 10.1111/bcp.13858. Epub 2019 Feb 13.
The use of factor VIII (FVIII) prophylaxis in haemophilia A is considered the standard of care, particularly in children. Despite adjustment of doses for body weight and/or age, a large pharmacokinetic (PK) variability between patients has been observed. PK-tailored prophylaxis may help clinicians adjust coagulation factor FVIII activity (FVIII:C) to the desired level, which may differ in individual patients. The objective was to develop a population PK model for simoctocog alfa based on pooled clinical trial data and to develop a Bayesian estimator to allow PK parameters in individual patients to be estimated using a reduced number of blood samples.
PK data from 86 adults and 29 children/adolescents with severe haemophilia A were analysed. The FVIII data measured using 2 different assays (chromogenic and the 1-stage clotting assay) were fit to separate develop population PK models using nonlinear mixed-effect models. A Bayesian estimator was then developed to estimate the time above the threshold of 1%.
The PK data for chromogenic and the 1-stage clotting assays were both best described by a 2-compartment models. Simulations demonstrated good predictive capacity. The limited sampling strategy using blood sample at 3 and 24 hours allowed an accurate estimation of the time above the threshold of 1% FVIII:C (mean bias 0.01 and 0.11, mean precision 0.18 and 0.45 for 2 assay methods).
In this study, we demonstrated that a Bayesian approach can help to reduce the number of samples required to estimate the time above the threshold of 1% FVIII:C with good accuracy.
在甲型血友病中使用凝血因子 VIII(FVIII)预防治疗被认为是标准的治疗方法,特别是在儿童中。尽管根据体重和/或年龄调整了剂量,但仍观察到患者之间存在很大的药代动力学(PK)变异性。PK 定制预防治疗可能有助于临床医生将凝血因子 FVIII 活性(FVIII:C)调整到所需的水平,而每个患者的所需水平可能不同。本研究的目的是基于汇总的临床试验数据为 simoctocog alfa 建立群体 PK 模型,并开发贝叶斯估计器,以便使用较少的血样来估计个体患者的 PK 参数。
分析了 86 名成年患者和 29 名儿童/青少年重型甲型血友病患者的 PK 数据。使用 2 种不同检测方法(显色法和 1 期凝固法)测量的 FVIII 数据被拟合到单独的开发群体 PK 模型中,使用非线性混合效应模型。然后开发了贝叶斯估计器来估计超过 1%阈值的时间。
显色法和 1 期凝固法的 PK 数据均最佳地用 2 室模型描述。模拟结果表明具有良好的预测能力。使用 3 小时和 24 小时的血样进行有限采样策略可以准确估计超过 1%FVIII:C 阈值的时间(2 种检测方法的平均偏差分别为 0.01 和 0.11,平均精度分别为 0.18 和 0.45)。
在这项研究中,我们证明了贝叶斯方法可以帮助减少估计超过 1%FVIII:C 阈值时间所需的样本数量,并具有良好的准确性。