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Limited-sampling strategies for therapeutic drug monitoring of moxifloxacin in patients with tuberculosis.

机译:结核患者莫西沙星治疗药物监测的有限采样策略。

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BACKGROUND: Moxifloxacin (MFX) is a potent drug for multidrug resistant tuberculosis(TB) treatment and is also useful if first-line agents are not tolerated. Therapeutic drug monitoring may help to prevent treatment failure. Obtaining a full concentration-time curve of MFX for therapeutic drug monitoring is not feasible in most settings. Developing a limited-sampling strategy based on population pharmacokinetics (PK) may help to overcome this problem. METHODS: Steady-state plasma concentrations after the administration of 400 mg of MFX once daily were determined in 21 patients with TB, using a validated liquid chromatography-tandem mass spectrometry method. A one-compartment population model was generated and crossvalidated. Monte Carlo data simulation (n=1000) was used to calculate limited-sampling strategies. The correlation between predicted MFX AUC0-24h (area under the concentration-time curve 0 to 24 hours) and observed AUC0-24h was investigated by Bland-Altman analysis. Finally, the predictive performance of the final model was tested prospectively using MFX profiles from patients with TB receiving 400, 600, or 800 mg once daily. RESULTS: Median minimum inhibitory concentration of Mycobacterium tuberculosis isolates was 0.25 mg/L (interquartile range: 0.25-0.5 mg/L). The geometric mean AUC0-24h was 24.5 mg.h/L (range: 8.5-72.2 mg.h/L), which resulted in a geometric mean AUC0-24h/minimum inhibitory concentration ratio of 72 (range: 21-321). PK analysis, based on PK profiles of 400 mg of MFX once daily, resulted in a crossvalidated population PK model with the following parameters: apparent clearance (Cl) 18.5+/-8.6 L/h per 1.85 m, Vd 3.0+/-0.7 L/kg corrected lean body mass, Ka 1.15+/-1.16 h, and F was fixed at 1. After the Monte Carlo simulation, the best predicting strategy for MFX AUC0-24h for practical use was based on MFX concentrations 4 and 14 hours postdosing (r=0.90, prediction bias=-1.5%, and root mean square error=15%). CONCLUSIONS: MFX AUC0-24h in patients with TB can be predicted with acceptable accuracy for clinical management, using limited sampling. AUC0-24h prediction based on 2 samples, 4 and 14 hours postdose, can be used to individualize treatment.
机译:背景:莫西沙星(MFX)是一种有效的抗多药结核病(TB)治疗药物,如果不能耐受一线药物,也很有用。药物治疗监测可能有助于防止治疗失败。在大多数情况下,获取完整的MFX浓度-时间曲线以进行治疗药物监测是不可行的。根据人群药代动力学(PK)开发有限抽样策略可能有助于克服此问题。方法:采用经验证的液相色谱-串联质谱法测定21例结核病患者每天一次服用400 mg MFX后的稳态血药浓度。一室人口模型生成并交叉验证。蒙特卡罗数据模拟(n = 1000)用于计算有限采样策略。通过Bland-Altman分析研究了预测的MFX AUC0-24h(浓度-时间曲线下0-24小时的面积)与观察到的AUC0-24h之间的相关性。最后,使用每天接受400、600或800 mg结核病患者的MFX资料对前瞻性测试最终模型的预测性能。结果:结核分枝杆菌的最低抑菌浓度中位数为0.25 mg / L(四分位数范围:0.25-0.5 mg / L)。 AUC0-24h的几何平均数为24.5mg.h / L(范围:8.5-72.2mg.h / L),这导致AUC0-24h的几何平均数/最小抑制浓度比为72(范围:21-321)。基于每天一次400 mg MFX的PK曲线进行PK分析,得出具有以下参数的交叉验证的PK模型:每1.85 m的表观清除率(Cl)18.5 +/- 8.6 L / h,Vd 3.0 +/- 0.7 L / kg校正的瘦体重,Ka为1.15 +/- 1.16 h,F固定为1。在蒙特卡洛模拟之后,实际使用的MFX AUC0-24h的最佳预测策略是基于4和14小时的MFX浓度后给药(r = 0.90,预测偏差= -1.5%,均方根误差= 15%)。结论:使用有限的样本可以预测结核病患者的MFX AUC0-24h具有可接受的临床治疗准确性。给药后4和14小时,基于2个样本的AUC0-24h预测可用于个性化治疗。

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