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Limited sampling strategies for therapeutic drug monitoring of linezolid in patients with multidrug-resistant tuberculosis.

机译:耐多药结核病患者的利奈唑胺治疗药物监测的有限采样策略。

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INTRODUCTION: Linezolid is a potential drug for the treatment of multidrug-resistant tuberculosis but its use is limited because of severe adverse effects such as anemia, thrombocytopenia, and peripheral neuropathy. This study aimed to develop a model for the prediction of linezolid area under the plasma concentration-time curve from 0 to 12 hours (AUC0-12h) by limited sampling strategy to enable individualized dosing. PATIENTS AND METHODS: Fourteen patients with multidrug-resistant tuberculosis received linezolid twice daily as part of their antituberculosis treatment. Linezolid concentrations were determined at steady state by high-performance liquid chromatography tandem mass spectrometry before and at 1, 2, 4, 8, and 12 hours after dosing. Linezolid AUC0-12h population model and limited sampling models were calculated with MWPharm software. The correlation between predicted linezolid AUC0-12h and observed linezolid AUC0-12h was investigated by Bland-Altman analysis. RESULTS: A total of 26 pharmacokinetic profiles were obtained. The median AUC0-12h was 51.8 (interquartile range, 41.8-65.9) mg*h/L at 300 mg and 123.8 (interquartile range, 100.9-152.5) mg*h/L at 600 mg, both twice daily. The most relevant model clinically for prediction of linezolid AUC0-12h used a linezolid trough concentration (r = 0.91, prediction bias = -2.9% and root mean square error = 15%). DISCUSSION: The difference between choosing a trough concentration and two to three samples increased the correlation from 0.90 to 0.95 but appeared not clinically relevant because it did not result in different dosing advice. CONCLUSION: This study showed that linezolid AUC0-12h in patients with multidrug-resistant tuberculosis could be predicted accurately by a minimal sampling strategy and could be used to individualize the dose.
机译:简介:利奈唑胺是治疗多重耐药性肺结核的潜在药物,但由于严重的不良反应,例如贫血,血小板减少和周围神经病,其使用受到限制。这项研究的目的是通过有限的采样策略,开发一种预测血浆浓度-时间曲线在0至12小时(AUC0-12h)下利奈唑胺面积的模型,以实现个性化给药。患者与方法:14例耐多药结核病患者每天两次接受利奈唑胺作为抗结核治疗的一部分。在给药前和给药后1、2、4、8和12小时,通过高效液相色谱串联质谱法在稳态下测定利奈唑胺的浓度。使用MWPharm软件计算了利奈唑胺AUC0-12h种群模型和有限抽样模型。通过Bland-Altman分析研究了预测的利奈唑胺AUC0-12h与观察到的利奈唑胺AUC0-12h之间的相关性。结果:共获得26种药代动力学特征。 300 mg时的中位AUC0-12h为51.8(四分位范围,41.8-65.9)mg * h / L,600 mg时的中位AUC0-12h均为123.8(四分位范围,100.9-152.5)mg * h / L,均每日两次。临床上用于预测利奈唑胺AUC0-12h的最相关模型使用利奈唑胺谷浓度(r = 0.91,预测偏差= -2.9%,均方根误差= 15%)。讨论:选择低谷浓度和两到三个样品之间的差异将相关性从0.90增加到0.95,但由于没有导致不同的给药建议,因此在临床上不相关。结论:这项研究表明,通过最小采样策略可以准确预测耐多药结核病患者的利奈唑胺AUC0-12h,并可用于个体化剂量。

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