舍曲林在精神病和药物使用失调人群中的药代动力学。

Cinthya Eloisa Chávez Castillo MSc, Susanna Edith Medellín Garibay PhD, Rosa del Carmen Milán Segovia PhD, Sergio Zarazúa Guzmán PhD, Helgi Jung Cook PhD, Marisol Orocio Contreras MD, Silvia Romano Moreno PhD
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引用次数: 0

摘要

本研究旨在描述墨西哥精神病和药物使用障碍患者体内舍曲林的群体药代动力学特征。研究对象包括 59 名接受舍曲林治疗的患者(13 至 76 岁),舍曲林的剂量在 12.5 至 100 毫克/天之间。通过血液样本测定血浆中舍曲林的浓度,并通过尿液样本快速检测法测定五种主要滥用物质的浓度。此外,还对人口统计学、临床和药物遗传学因素进行了评估。采用一阶条件估计法的 NONMEM 软件进行了群体药代动力学分析。具有比例残差误差的单室模型充分描述了舍曲林浓度随时间的变化。CYP2D6*2 多态性和 CYP2C19 表型对舍曲林清除率有显著影响,在最终模型中,其人群平均值为 66 升/小时。吸收常数和分布容积分别固定为 0.855 1/h 和 20.2 L/kg。该模型解释了舍曲林清除率个体间变异的 11.3%。CYP2D6*2多态性的存在导致舍曲林清除率下降23.1%,而CYP2C19中间表型和差表型患者的舍曲林清除率分别下降19.06%和48.26%。通过引导和视觉预测检查对模型进行了内部验证。最后,进行了随机模拟,提出了有助于改善治疗反应、达到治疗水平的给药方案。
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Population Pharmacokinetics of Sertraline in Psychiatric and Substance Use Disorders

This study aimed to characterize the population pharmacokinetics of sertraline in Mexican patients with psychiatric and substance use disorders. Fifty-nine patients (13 to 76 years old) treated with doses of sertraline between 12.5 and 100 mg/day were included. Plasma sertraline concentrations were determined in blood samples and five of the main substances of abuse were determined by rapid tests in urine samples. Demographic, clinical, and pharmacogenetic factors were also evaluated. Population pharmacokinetic analysis was performed using NONMEM software with first-order conditional estimation method. A one-compartment model with proportional residual error adequately described the sertraline concentrations versus time. CYP2D6*2 polymorphism and CYP2C19 phenotypes significantly influenced sertraline clearance, which had a population mean value of 66 L/h in the final model. The absorption constant and volume of distribution were fixed at 0.855 1/h and 20.2 L/kg, respectively. The model explained 11.3% of the interindividual variability in sertraline clearance. The presence of the CYP2D6*2 polymorphism caused a 23.1% decrease in sertraline clearance, whereas patients with intermediate and poor phenotype of CYP2C19 showed 19.06% and 48.26% decreases in sertraline clearance, respectively. The model was internally validated by bootstrap and visual predictive check. Finally, stochastic simulations were performed to propose dosing regimens to achieve therapeutic levels that contribute to improving treatment response.

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