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Understanding the drug exposure–response relationship of bedaquiline to predict efficacy for novel dosing regimens in the treatment of multidrug‐resistant tuberculosis

机译:理解BEDAQUILINE的药物暴露关系预测新型剂量方案治疗多药抗性结核病的疗效

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Aims To externally validate an earlier characterized relationship between bedaquiline exposure and decline in bacterial load in a more difficult‐to‐treat patient population, and to explore the performances of alternative dosing regimens through simulations. Methods The bedaquiline exposure–response relationship was validated using time‐to‐positivity data from 233 newly diagnosed or treatment‐experienced patients with drug‐resistant tuberculosis from the C209 open‐label study. The significance of the exposure–response relationship on the bacterial clearance was compared to a constant drug effect model. Tuberculosis resistance type and the presence and duration of antituberculosis pre‐treatment were evaluated as additional covariates. Alternative dosing regimens were simulated for tuberculosis patients with different types of drug resistance. Results High bedaquiline concentrations were confirmed to be associated with faster bacterial load decline in patients, given that the exposure–effect relationship provided a significantly better fit than the constant drug effect (relative likelihood = 0.0003). The half‐life of bacterial clearance was identified to be 22% longer in patients with pre‐extensively drug‐resistant (pre‐XDR) tuberculosis (TB) and 86% longer in patients with extensively drug‐resistant (XDR) TB, compared to patients with multidrug‐resistant (MDR) TB. Achievement of the same treatment response for (pre‐)XDR TB patients as for MDR TB patients would be possible by adjusting the dose and dosing frequency. Furthermore, daily bedaquiline administration as in the ZeNix regimen, was predicted to be as effective as the approved regimen. Conclusion The confirmed bedaquiline exposure–response relationship offers the possibility to predict efficacy under alternative dosing regimens, and provides a useful tool for potential treatment optimization.
机译:旨在在外部验证贝壳丛暴露与细菌载量的较早的表征关系,在更难以治疗的患者群体中,并探讨通过模拟的替代给药方案的性能。方法使用来自C209开放标签研究的233名新诊断或治疗经验丰富的耐药结核病患者的阳性阳性数据验证了BEDAQUIRINE暴露响应关系。将暴露 - 反应关系对细菌间隙的重要性与恒定的药物效应模型进行了比较。结核病抗性类型和抗结核预处理的存在和持续时间被评估为额外的协变量。模拟替代给药方案用于患有不同类型的耐药性的结核病患者。结果证实,患者细菌负荷下降的患者较高的细菌负荷下降相关性,鉴于曝光效果关系比恒定的药物效应显着更好(相对似然= 0.0003),确认患者细菌负荷下降相关。鉴定细菌间隙的半衰期为预先抗毒性(XDR)结核(TB)的患者患者的22%,而含有广泛的耐药性(XDR)结核病患者的86%较长,与耐多药(MDR)结核病的患者。通过调节剂量和计量频率,可以实现对XDR结核病患者的相同治疗响应(Pre-)XDR TB患者的响应。此外,预计Zenix方案中的每日Bedaquiline管理是批准的方案的有效。结论确诊的贝壳丝曝光 - 反应关系提供了预测替代给药方案下有效性的可能性,并为潜在的治疗优化提供了一种有用的工具。

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