Ferreira Abigail, Martins Helena, Oliveira José Carlos, Lapa Rui, Vale Nuno
OncoPharma Research Group, Center for Health Technology and Services Research (CINTESIS), Rua Doutor Plácido da Costa, 4200-450 Porto, Portugal.
LAQV/REQUIMTE, Laboratory of Applied Chemistry, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal.
Life (Basel). 2021 Oct 23;11(11):1130. doi: 10.3390/life11111130.
The importance of closely observing patients receiving antibiotic therapy, performing therapeutic drug monitoring (TDM), and regularly adjusting dosing regimens has been extensively demonstrated. Additionally, antibiotic resistance is a contemporary concerningly dangerous issue. Optimizing the use of antibiotics is crucial to ensure treatment efficacy and prevent toxicity caused by overdosing, as well as to combat the prevalence and wide spread of resistant strains. Some antibiotics have been selected and reserved for the treatment of severe infections, including amikacin, gentamicin, tobramycin, and vancomycin. Critically ill patients often require long treatments, hospitalization, and require particular attention regarding TDM and dosing adjustments. As these antibiotics are eliminated by the kidneys, critical deterioration of renal function and toxic effects must be prevented. In this work, clinical data from a Portuguese cohort of 82 inpatients was analyzed and physiologically based pharmacokinetic (PBPK) modeling and simulation was used to study the influence of different therapeutic regimens and parameters as biological sex, body weight, and renal function on the biodistribution and pharmacokinetic (PK) profile of these four antibiotics. Renal function demonstrated the greatest impact on plasma concentration of these antibiotics, and vancomycin had the most considerable accumulation in plasma over time, particularly in patients with impaired renal function. Thus, through a PBPK study, it is possible to understand which pharmacokinetic parameters will have the greatest variation in a given population receiving antibiotic administrations in hospital context.
密切观察接受抗生素治疗的患者、进行治疗药物监测(TDM)并定期调整给药方案的重要性已得到广泛证实。此外,抗生素耐药性是一个当今令人担忧的危险问题。优化抗生素的使用对于确保治疗效果、预防过量用药引起的毒性以及对抗耐药菌株的流行和广泛传播至关重要。一些抗生素已被选定并保留用于治疗严重感染,包括阿米卡星、庆大霉素、妥布霉素和万古霉素。重症患者通常需要长期治疗和住院,并且在TDM和剂量调整方面需要特别关注。由于这些抗生素通过肾脏排泄,必须预防肾功能的严重恶化和毒性作用。在这项工作中,分析了来自葡萄牙一个82名住院患者队列的临床数据,并使用基于生理的药代动力学(PBPK)建模和模拟来研究不同治疗方案以及生物性别、体重和肾功能等参数对这四种抗生素的生物分布和药代动力学(PK)特征的影响。肾功能对这些抗生素的血浆浓度影响最大,万古霉素随时间在血浆中的蓄积最为显著,尤其是在肾功能受损的患者中。因此,通过PBPK研究,可以了解在医院环境中接受抗生素给药的特定人群中哪些药代动力学参数将有最大变化。