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基于阿米卡星药代动力学与患者状况之间的关系对其给药方案进行个体化调整

[Individualization of the amikacin administration regimen on the basis of the relationship between its pharmacokinetics and the patient's status].

作者信息

Firsov A A, Nasonov V N, Murav'eva S A, Portnoĭ Iu A, Savitskaia K I

机构信息

All-Union Research Institute of Antibiotics, Moscow.

出版信息

Antibiot Khimioter. 1990 Sep;35(9):47-51.

PMID:2275595
Abstract

Dosage individualization based on quantitative relationships between pharmacokinetic parameters and anatomophysiological and/or pathological factors, patient's factors (PFs) is of importance in designing optimal regimens. Unfortunately, the attempts to correlate aminoglycoside pharmacokinetic parameters and PFs often failed perhaps due to insufficient numbers of PFs under investigation. That is why we sought to involve more PFs, especially nontraditional ones, for explaining intersubject variability of the amikacin model-independent parameter in 20 patients with purulent inflammatory processes. Amikacin plasma concentrations in specimens collected 0.5, 1, 2, 4, 5 and 6 hours after the drug administration (500 mg, i.v.) were determined with the FRIA-technique (TDx, Abbott). The mean values of the total clearance (Cl), steady-state volume of distribution (Vss) and the mean residence time (MRT) were 87.5 +/- 18.4 ml/(h.kg), 0.33 +/- 0.07 l/kg and 4.0 +/- 0.6 h, respectively. Stepwise multivariate regression analysis made it possible to establish statistically significant correlations between the Cl and 8 PFs, including age, sodium plasma concentrations, plasma osmolarity, partial pressure of oxygen and carbon dioxide, volumes of transfused plasma and blood and artificial pulmonary ventilation (r = 0.99), as well as between the MRT and 6 PFs, including sex, plasma osmolarity, plasma creatinine concentrations, volumes of transfused plasma and artificial pulmonary ventilation (r = 0.94). Multiple correlations were also found between the area under the drug concentration/time curve and 11 PFs (r = 0.99). The coefficient of the multiple correlation between the Vss and volume of the transfused plasma proved to be much lower (r = 0.67). The multiple regression equation for the Cl prediction provided a reliable indirect estimation of the parameter individual values without the amikacin concentration data. Thus, it appeared possible to adjust the aminoglycoside dosage by taking into account 8 PFs before the TDM data were available.

摘要

基于药代动力学参数与解剖生理和/或病理因素、患者因素(PFs)之间的定量关系进行剂量个体化,对于设计最佳给药方案至关重要。不幸的是,将氨基糖苷类药物的药代动力学参数与PFs进行关联的尝试往往失败,这可能是由于所研究的PFs数量不足。这就是为什么我们试图纳入更多的PFs,特别是非传统的PFs,以解释20例化脓性炎症患者中阿米卡星非模型依赖参数的个体间变异性。采用荧光免疫分析技术(TDx,雅培公司)测定静脉注射500mg药物后0.5、1、2、4、5和6小时采集的样本中阿米卡星的血浆浓度。总清除率(Cl)、稳态分布容积(Vss)和平均驻留时间(MRT)的平均值分别为87.5±18.4ml/(h·kg)、0.33±0.07l/kg和4.0±0.6小时。逐步多元回归分析使得能够确定Cl与8个PFs之间具有统计学意义的相关性,这些PFs包括年龄、血浆钠浓度、血浆渗透压、氧分压和二氧化碳分压、输注的血浆和血液量以及人工肺通气(r = 0.99),以及MRT与6个PFs之间的相关性,这些PFs包括性别、血浆渗透压、血浆肌酐浓度、输注的血浆量和人工肺通气(r = 0.94)。在药物浓度/时间曲线下面积与11个PFs之间也发现了多重相关性(r = 0.99)。Vss与输注的血浆量之间的多重相关系数被证明要低得多(r = 0.67)。用于预测Cl的多元回归方程在没有阿米卡星浓度数据的情况下提供了对参数个体值的可靠间接估计。因此,在获得治疗药物监测(TDM)数据之前,似乎可以通过考虑8个PFs来调整氨基糖苷类药物的剂量。

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