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The importance of knowing how vancomycin is measured when interpreting its pharmacokinetic results.

机译:解释万古霉素的药代动力学结果时,了解其测量方法的重要性。

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To the Editors: In our recent study, 6 published neonatal population pharmacokinetic models of vancomycin were evaluated with an independent external dataset, which consisted of 112 vancomycin trough concentrations (Co) obtained from 78 neonates, to identify the potential study-related factors that might limit transferability of published models in different clinical settings.7 The results demonstrated notable differences in predictive performances of models, which could be partly explained by taking into account the method used to measure serum creat-inine concentrations. When a conversion factor of 1.3 (enzymatic to Jaffe) was evaluated, an important improvement of predictive performance as illustrated by the simulation-based diagnostic normalized prediction distribution errors (NPDE) was observed (Table 1). However, the model developed by Allegaert et al still underpredicted the vancomycin concentrations in the external evaluation dataset (mean NPDE of 0.63, Table 1).
机译:致编辑:在我们最近的研究中,使用独立的外部数据集评估了6种已公布的万古霉素新生儿群体药代动力学模型,该数据集由78个新生儿获得的112个万古霉素谷浓度(Co)组成,以确定可能与研究相关的因素限制了已发布模型在不同临床环境中的可移植性。7结果表明,模型的预测性能存在显着差异,可以通过考虑用于测量血清肌酐浓度的方法来部分解释。当评估转换因子为1.3(酶促转化为Jaffe)时,观察到了预测性能的重要提高,如基于模拟的诊断归一化预测分布误差(NPDE)所示(表1)。然而,Allegaert等人开发的模型仍然低估了外部评估数据集中的万古霉素浓度(平均NPDE为0.63,表1)。

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