首页> 外文期刊>Naunyn-Schmiedeberg's Archives of Pharmacology >A population pharmacodynamic model characterizing neutropenia associated with pegylated interferon alpha 2-a therapy in patients with chronic hepatitis C viral infection
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A population pharmacodynamic model characterizing neutropenia associated with pegylated interferon alpha 2-a therapy in patients with chronic hepatitis C viral infection

机译:一种人口药物动力学模型,表征与聚乙二醇干扰素α2-A治疗慢性丙型肝炎病毒感染患者相关的中性粒细胞病

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摘要

Neutropenia is a hematologic disorder commonly reported in patients with chronic hepatitis C viral (HCV) infection. The objective of the present analysis is to describe the change in neutrophil count resulting from peglated interferon alpha 2-a (PEG-IFN alpha-2a) therapy in HCV-infected patients. A population pharmacodynamic model will be developed. We also plan to identify patient characteristics that contribute to the development of PEG-IFN alpha-2a-induced neutropenia in hepatitis C patients. A population pharmacodynamic modeling approach was applied to a cohort of patients (n = 292) with chronic HCV infection. Modeling was performed using NONMEM 6. Data was obtained from two phases III studies sponsored by Hoffmann-La Roche. Covariate screening was applied to evaluate various demographic and clinical characteristics as possible predictors of pharmacodynamic parameter during model development. A total of 4517 neutrophil counts from 292 subjects were analyzed by the proposed population pharmacodynamic model. A constant residual error model was used to the log-transformed neutrophil count. Platelet baseline count and uric acid level were identified as predictors of neutrophil pharmacodynamic model. Increased baseline platelet count is expected to result in higher neutrophil baseline. A higher neutrophil baseline is also expected in patients with increased uric acid level. In conclusion, a mechanistic pharmacodynamic model was developed. The effect of various covariates was included in the model. This allows the prediction of neutrophil count following antiviral therapy in patients with hepatitis C infection. Clinical studies: NV15942 and NV15801.
机译:中性蛋白是常规报道的慢性丙型肝炎病毒(HCV)感染患者血液学疾病。本分析的目的是描述由Peglated干扰素α2-A(PEG-IFN alpha-2a)治疗中的中性粒细胞计数的变化在HCV感染患者中。将开发一种人口药物动力学模型。我们还计划识别患者有助于在丙型肝炎患者中发育PEG-IFNα-2A诱导的中性粒细胞缺陷的患者特征。用慢性HCV感染施用人口药物动力学建模方法(n = 292)群患者(n = 292)。使用非谋区6进行建模6.从由Hoffmann-La Roche赞助的研究III研究中获得数据。应用调节筛选在模型开发期间评估各种人口统计学和临床​​特征。通过提出的人口药物动力学模型分析了来自292个受试者的4517个中性粒细胞计数。恒定的残余误差模型用于对数转化的中性粒细胞计数。血小板计数基线和尿酸水平被确定为中性粒细胞药效学模型的预测。增加基线血小板计数预计将导致较高的中性粒细胞基线。较高的中性粒细胞基线也有望增高的患者尿酸水平。总之,一个机械的药效学模型。被列入模型中的各种协变量的影响。这允许中性粒细胞计数的以下患者的丙型肝炎感染的抗病毒治疗的预测。临床研究:NV15942和NV15801。

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