Gandia Peggy, Chaiben Sahira, Fabre Nicolas, Concordet Didier
Pharmacokinetics and Toxicology Laboratory, Federative Institute of Biology, Toulouse University Hospital, Toulouse, France.
INTHERES, Université de Toulouse, INRAE, ENVT, Toulouse, France.
CPT Pharmacometrics Syst Pharmacol. 2025 Jan;14(1):142-151. doi: 10.1002/psp4.13253. Epub 2024 Nov 26.
Vancomycin is an antibiotic used for severe infections. To ensure microbiological efficacy, a ratio of AUC/MIC ≥400 is recommended. However, there is significant interindividual variability in its pharmacokinetic parameters, necessitating therapeutic drug monitoring to adjust dosing regimens and ensure efficacy while avoiding toxicity. Population pharmacokinetic (PopPK) models enable dose personalization, but the challenge lies in the choice of the model to use among the multitude of models in the literature. We compared 18 PopPK models created from populations with the same sociodemographic and clinicobiological characteristics. Simulations were performed for a 47 years old man, weighing 70 kg, with an albumin level of 35.5 g/L, a creatinine clearance of 100 mL/min, an eGFR of 106 mL/min/1.73 m, and receiving an intravenous infusion of 1 g × 2/day of VCM over 1 h for 48 h. Simulations of time-concentration profiles revealed differences, leading us to determine the probability of achieving microbiological efficacy (AUC/MIC ≥ 400) with each model. Depending on some models, a dose of 1 g × 2/day is required to ensure microbiological efficacy in over 90% of the population, while with the same dose other models do not exceed 10% of the population. To ensure that 90% of the patients are correctly exposed, a dose of vancomycin ranging from 0.9 g × 2/day to 2.2 g × 2/day is necessary a priori depending on the chosen model. These differences raise an issue in choosing a model for performing therapeutic drug monitoring using a PopPK model with or without Bayesian approach. Thus, it is fundamental to evaluate the impact of these differences on both efficacy/toxicity.
万古霉素是一种用于治疗严重感染的抗生素。为确保微生物学疗效,建议AUC/MIC比值≥400。然而,其药代动力学参数存在显著的个体间差异,因此需要进行治疗药物监测,以调整给药方案,确保疗效的同时避免毒性。群体药代动力学(PopPK)模型可实现剂量个体化,但面临的挑战在于从文献中众多模型中选择合适的模型。我们比较了由具有相同社会人口统计学和临床生物学特征的人群创建的18个PopPK模型。对一名47岁、体重70kg、白蛋白水平为35.5g/L、肌酐清除率为100mL/min、估算肾小球滤过率(eGFR)为106mL/min/1.73m²且接受48小时静脉输注1g×2/日万古霉素(VCM)、输注时间为1小时的男性进行了模拟。时间-浓度曲线模拟显示出差异,这使我们能够确定每个模型实现微生物学疗效(AUC/MIC≥400)的概率。根据某些模型,需要1g×2/日的剂量才能确保90%以上的人群获得微生物学疗效,而使用相同剂量时,其他模型的达标人群不超过10%。为确保90%的患者得到正确的药物暴露,根据所选模型,万古霉素的剂量范围为0.9g×2/日至2.2g×2/日。这些差异在选择使用PopPK模型(无论有无贝叶斯方法)进行治疗药物监测的模型时引发了一个问题。因此,评估这些差异对疗效/毒性的影响至关重要。