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基于血药浓度监测的临床药理建议在不同儿科环境中实时优化抗菌治疗作用的概念验证

A Proof of Concept of the Role of TDM-Based Clinical Pharmacological Advices in Optimizing Antimicrobial Therapy on Real-Time in Different Paediatric Settings.

作者信息

Gatti Milo, Cojutti Pier Giorgio, Campoli Caterina, Caramelli Fabio, Corvaglia Luigi Tommaso, Lanari Marcello, Pession Andrea, Ramirez Stefania, Viale Pierluigi, Pea Federico

机构信息

Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy.

SSD Clinical Pharmacology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

出版信息

Front Pharmacol. 2021 Sep 27;12:755075. doi: 10.3389/fphar.2021.755075. eCollection 2021.

DOI:10.3389/fphar.2021.755075
PMID:34646143
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8502823/
Abstract

Antimicrobial treatment is quite common among hospitalized children. The dynamic age-associated physiological variations coupled with the pathophysiological alterations caused by underlying illness and potential drug-drug interactions makes the implementation of appropriate antimicrobial dosing extremely challenging among paediatrics. Therapeutic drug monitoring (TDM) may represent a valuable tool for assisting clinicians in optimizing antimicrobial exposure. Clinical pharmacological advice (CPA) is an approach based on the correct interpretation of the TDM result by the MD Clinical Pharmacologist in relation to specific underlying conditions, namely the antimicrobial susceptibility of the clinical isolate, the site of infection, the pathophysiological characteristics of the patient and/or the drug-drug interactions of cotreatments. The aim of this study was to assess the role of TDM-based CPAs in providing useful recommendations for the real-time personalization of antimicrobial dosing regimens in various paediatric settings. Paediatric patients who were admitted to different settings of the IRCCS Azienda Ospedaliero-Universitaria of Bologna, Italy (paediatric intensive care unit [ICU], paediatric onco-haematology, neonatology, and emergency paediatric ward), between January 2021 and June 2021 and who received TDM-based CPAs on real-time for personalization of antimicrobial therapy were retrospectively assessed. Demographic and clinical features, CPAs delivered in relation to different settings and antimicrobials, and type of dosing adjustments were extracted. Two indicators of performance were identified. The number of dosing adjustments provided over the total number of delivered CPAs. The turnaround time (TAT) of CPAs according to a predefined scale (optimal, <12 h; quasi-optimal, between 12-24 h; acceptable, between 24-48 h; suboptimal, >48 h). Overall, 247 CPAs were delivered to 53 paediatric patients (mean 4.7 ± 3.7 CPAs/patient). Most were delivered to onco-haematological patients (39.6%) and to ICU patients (35.8%), and concerned mainly isavuconazole (19.0%) and voriconazole (17.8%). Overall, CPAs suggested dosing adjustments in 37.7% of cases (24.3% increases and 13.4% decreases). Median TAT was 7.5 h (IQR 6.1-8.8 h). Overall, CPAs TAT was optimal in 91.5% of cases, and suboptimal in only 0.8% of cases. Our study provides a proof of concept of the helpful role that TDM-based real-time CPAs may have in optimizing antimicrobial exposure in different challenging paediatric scenarios.

摘要

抗菌治疗在住院儿童中相当常见。与年龄相关的动态生理变化,再加上潜在疾病引起的病理生理改变以及潜在的药物相互作用,使得在儿科中实施适当的抗菌药物剂量极其具有挑战性。治疗药物监测(TDM)可能是协助临床医生优化抗菌药物暴露的一项有价值的工具。临床药理学建议(CPA)是一种基于医学临床药理学家根据特定潜在情况对TDM结果进行正确解读的方法,这些潜在情况包括临床分离株的抗菌药敏性、感染部位、患者的病理生理特征和/或联合治疗的药物相互作用。本研究的目的是评估基于TDM的CPA在为不同儿科环境中抗菌药物给药方案的实时个性化提供有用建议方面的作用。对2021年1月至2021年6月期间入住意大利博洛尼亚大学综合医院(IRCCS Azienda Ospedaliero-Universitaria)不同科室(儿科重症监护病房[ICU]、儿科肿瘤血液科、新生儿科和儿科急诊病房)且接受基于TDM的CPA以实现抗菌治疗个性化的儿科患者进行了回顾性评估。提取了人口统计学和临床特征、针对不同科室和抗菌药物给出的CPA以及剂量调整类型。确定了两项性能指标。提供的剂量调整次数占所提供CPA总数的比例。根据预定义量表(最佳,<12小时;准最佳,12 - 24小时之间;可接受,24 - 48小时之间;次优,>48小时)确定的CPA周转时间(TAT)。总体而言,共向53名儿科患者提供了247次CPA(平均每位患者4.7 ± 3.7次CPA)。大多数CPA提供给了肿瘤血液科患者(39.6%)和ICU患者(35.8%),主要涉及艾沙康唑(19.0%)和伏立康唑(17.8%)。总体而言,CPA在37.7%的病例中建议进行剂量调整(24.3%增加,13.4%减少)。TAT中位数为7.5小时(四分位间距6.1 - 8.8小时)。总体而言,91.5%的病例中CPA的TAT是最佳的,只有0.8%的病例是次优的。我们的研究为基于TDM的实时CPA在不同具有挑战性的儿科场景中优化抗菌药物暴露可能发挥的有益作用提供了概念验证。

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