Haifa Ben Romdhane, Jean Baptiste Woillard, Najah Ben Fadhel, Zohra Chadli, Amel Chaabane, Naceur Boughattas, Nadia Ben Fredj, Karim Aouam
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The performance of the final model was assessed using an external dataset.</p><p><strong>Results: </strong>A one-compartment model (volume of distribution [Vd], elimination from compartment [Ke]) was found to show a good prediction performance. The influence of covariates has shown that age and Cr-Cl affected significantly Vd and Ke, respectively. The distribution of simulated vancomycin clearance (CLv) according to different renal function levels showed a negative correlation between CLv and the severity of the renal impairment. The internal validation of the final model showed that the plot of individual-predicted concentration versus observed concentration resulted in r2 = 0.86 in the final model. The external validation of the final model showed an acceptable predictive performance.</p><p><strong>Conclusion: </strong>We developed a Pop Pk model for vancomycin administered by CI in critically ill patients. A significant impact of Cr-Cl and different stages of renal failure on CLv has been demonstrated. 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引用次数: 0
摘要
导言:目的:在肾功能正常和受损的重症患者中建立并验证万古霉素持续输注(CI)的 Pop Pk 模型:采用非参数方法(Pmetrics*)进行 Pop Pk 研究。测试了协变量(性别、年龄、体重、身高和肌酐清除率 Cr-Cl)对模型 Pk 参数的影响。使用外部数据集对最终模型的性能进行了评估:结果:一个单室模型(分布容积;Vd,从室中消除;Ke)显示出良好的预测性能。协变量的影响表明,年龄和 Cr-Cl 分别对 Vd 和 Ke 有显著影响。不同肾功能水平的万古霉素模拟清除率(CLv)的分布显示,CLv 与肾功能损害的严重程度呈负相关。最终模型的内部验证显示,在最终模型中,单个预测浓度与观察浓度的比值为 r² = 0.86:我们为重症患者通过 CI 给药万古霉素建立了一个 Pop Pk 模型。结果表明,Cr-Cl 和不同阶段的肾功能衰竭对 CLv 有显著影响。根据该模型制定个体化建议剂量可能有助于达到治疗目标范围,这对优化该抗生素的疗效和安全性至关重要。
Population Pharmacokinetic of Vancomycin Administered by Continuous Infusion in Critically Ill Patients.
Introduction: Administration of vancomycin dose by continuous infusion (CI) according to population pharmacokinetic (Pop Pk) models is highly recommended in critically ill patients who exhibit pathophysiological changes.
Objective: The objective of this study was to develop and validate a Pop Pk model of vancomycin administered by CI in critically ill patients with normal and impaired renal functions.
Methods: The Pop Pk study was performed using a nonparametric approach (Pmetrics*). The influence of covariates (gender, age, weight, height, and creatinine clearance [Cr-Cl]) was tested on the model's Pk parameters. The performance of the final model was assessed using an external dataset.
Results: A one-compartment model (volume of distribution [Vd], elimination from compartment [Ke]) was found to show a good prediction performance. The influence of covariates has shown that age and Cr-Cl affected significantly Vd and Ke, respectively. The distribution of simulated vancomycin clearance (CLv) according to different renal function levels showed a negative correlation between CLv and the severity of the renal impairment. The internal validation of the final model showed that the plot of individual-predicted concentration versus observed concentration resulted in r2 = 0.86 in the final model. The external validation of the final model showed an acceptable predictive performance.
Conclusion: We developed a Pop Pk model for vancomycin administered by CI in critically ill patients. A significant impact of Cr-Cl and different stages of renal failure on CLv has been demonstrated. The establishment of an individualized proposal dose based on this model may be helpful to achieve the target range which is critical in optimizing the efficacy and safety of this antibiotic.
期刊介绍:
''Pharmacology'' is an international forum to present and discuss current perspectives in drug research. The journal communicates research in basic and clinical pharmacology and related fields. It covers biochemical pharmacology, molecular pharmacology, immunopharmacology, drug metabolism, pharmacogenetics, analytical toxicology, neuropsychopharmacology, pharmacokinetics and clinical pharmacology. In addition to original papers and short communications of investigative findings and pharmacological profiles the journal contains reviews, comments and perspective notes; research communications of novel therapeutic agents are encouraged.