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Artificial Intelligence and Amikacin Exposures Predictive of Outcomes in Multidrug-Resistant Tuberculosis Patients

机译:人工智能和阿米卡星暴露可预测耐多药结核病患者的结局

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摘要

Aminoglycosides such as amikacin continue to be part of the backbone of treatment of multidrug-resistant tuberculosis (MDR-TB). We measured amikacin concentrations in 28 MDR-TB patients in Botswana receiving amikacin therapy together with oral levofloxacin, ethionamide, cycloserine, and pyrazinamide and calculated areas under the concentration-time curves from 0 to 24 h (AUC0–24). The patients were followed monthly for sputum culture conversion based on liquid cultures. The median duration of amikacin therapy was 184 (range, 28 to 866) days, at a median dose of 17.30 (range 11.11 to 19.23) mg/kg. Only 11 (39%) patients had sputum culture conversion during treatment; the rest failed. We utilized classification and regression tree analyses (CART) to examine all potential predictors of failure, including clinical and demographic features, comorbidities, and amikacin peak concentrations (Cmax), AUC0–24, and trough concentrations. The primary node for failure had two competing variables, Cmax of <67 mg/liter and AUC0–24 of <568.30 mg · h/L; weight of >41 kg was a secondary node with a score of 35% relative to the primary node. The area under the receiver operating characteristic curve for the CART model was an R2 = 0.90 on posttest. In patients weighing >41 kg, sputum conversion was 3/3 (100%) in those with an amikacin Cmax of ≥67 mg/liter versus 3/15 (20%) in those with a Cmax of <67 mg/liter (relative risk [RR] = 5.00; 95% confidence interval [CI], 1.82 to 13.76). In all patients who had both amikacin Cmax and AUC0–24 below the threshold, 7/7 (100%) failed, compared to 7/15 (47%) of those who had these parameters above threshold (RR = 2.14; 95% CI, 1.25 to 43.68). These amikacin dose-schedule patterns and exposures are virtually the same as those identified in the hollow-fiber system model.
机译:氨基糖苷类药物(如丁胺卡那霉素)仍然是耐多药结核病(MDR-TB)治疗骨干的一部分。我们测量了博茨瓦纳接受阿米卡星治疗以及口服左氧氟沙星,乙硫酰胺,环丝氨酸和吡嗪酰胺治疗的28名耐多药结核病患者的阿米卡星浓度,并计算了0至24小时的浓度-时间曲线下的面积(AUC0-24)。每月对患者进行随访,以根据液体培养进行痰培养转化。阿米卡星治疗的中位持续时间为184天(28到866天),中位剂量为17.30(11.11到19.23毫克)/ kg。在治疗过程中,只有11名患者(39%)进行了痰培养转换。其余的失败了。我们利用分类和回归树分析(CART)来检查所有可能的失败预测指标,包括临床和人口统计学特征,合并症以及丁胺卡那霉素峰值浓度(Cmax),AUC0-24和谷浓度。失败的主要节点有两个相互竞争的变量,Cmax <67 mg / L和AUC0-24 <568.30 mg·h / L。重量> 41公斤是次要节点,相对于主要节点得分为35%。 CART模型的接收器工作特性曲线下的面积在后测中为R 2 = 0.90。体重> 41 kg的患者,阿米卡星Cmax≥67 mg / L的患者的痰转化率为3/3(100%),而Cmax <67 mg / L的患者为3/15(20%)(相对风险[RR] = 5.00; 95%置信区间[CI]为1.82至13.76)。在所有阿米卡星Cmax和AUC0-24均低于阈值的患者中,有7/7(100%)失败,而这些参数高于阈值的患者为7/15(47%)(RR = 2.14; 95%CI (1.25至43.68)。这些丁胺卡那霉素的剂量时间表模式和暴露量实际上与中空纤维系统模型中确定的剂量时间表和暴露量相同。

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