Chen Yueliang, Han Yun, Guo Feng, Yu Zhenwei
Intensive Care Unit, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
Department of Pharmacy, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
Infect Drug Resist. 2024 Feb 27;17:761-767. doi: 10.2147/IDR.S450294. eCollection 2024.
Imipenem is a broad-spectrum antibiotic that has been used in treating severe infections and exhibits a time-dependent PK/PD profile. Its dose should be adjusted based on renal function. However, there is little experience with imipenem dosing in obese adolescent patients with augmented renal clearance (ARC) and history of schizophrenia. This case reported successful dosing of imipenem in an obese adolescent patient with ARC based on therapeutic drug monitoring (TDM) and model-informed precision dosing (MIPD). A 15-year-old male adolescent patient with history of schizophrenia was diagnosed with ventilator-associated pneumonia due to carbapenem-susceptible and received imipenem treatment (0.5 g every 8 hours with a 1-hour infusion). However, the exposure of imipenem was suboptimal due to ARC, and there is no available model for MIPD in this patient. Thus, we utilized prediction error to find a population pharmacokinetic model that fit this patient and ran Maximum a posteriori Bayesian estimation and Monte Carlo simulation based on screened models to predict changes in drug concentrations. The dose of imipenem was adjusted to 0.5 g every 6 hours with a 2-hour infusion, and subsequent TDM revealed that dosing adjustment was accurate and successful. Finally, the patient's status of infection improved. This study will be beneficial to imipenem dosing in similar cases in the future, thereby improving the safety and effectiveness of imipenem or other antibiotics.
亚胺培南是一种广谱抗生素,已用于治疗严重感染,呈现时间依赖性药代动力学/药效学特征。其剂量应根据肾功能进行调整。然而,对于肾功能增强(ARC)且有精神分裂症病史的肥胖青少年患者,亚胺培南给药方面的经验较少。本病例报告了基于治疗药物监测(TDM)和模型指导的精准给药(MIPD)对一名患有ARC的肥胖青少年患者成功进行亚胺培南给药的情况。一名有精神分裂症病史的15岁男性青少年患者因对碳青霉烯类敏感而被诊断为呼吸机相关性肺炎,并接受亚胺培南治疗(每8小时0.5克,输注1小时)。然而,由于ARC,亚胺培南的暴露量未达最佳水平,且该患者没有可用的MIPD模型。因此,我们利用预测误差来寻找适合该患者的群体药代动力学模型,并基于筛选出的模型进行最大后验贝叶斯估计和蒙特卡洛模拟,以预测药物浓度的变化。将亚胺培南的剂量调整为每6小时0.5克,输注2小时,随后的TDM显示给药调整准确且成功。最后,患者的感染状况得到改善。本研究将对未来类似病例的亚胺培南给药有益,从而提高亚胺培南或其他抗生素的安全性和有效性。