Valero Ana, Isla Arantxa, Rodríguez-Gascón Alicia, Canut Andrés, Ángeles Solinís María
Pharmacy Service, Fundació Sant Hospital, Passeig Joan Brudieu 8, 25700 La Seu d,Urgell, Spain.
Pharmacokinetic, Nanotechnology and Gene Therapy Group (PharmaNanoGene), Faculty of Pharmacy, Centro de investigación Lascaray ikergunea, University of the Basque Country UPV/EHU, Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Spain.
Enferm Infecc Microbiol Clin (Engl Ed). 2019 Dec;37(10):626-633. doi: 10.1016/j.eimc.2019.02.009. Epub 2019 Apr 17.
We analysed the changes in the susceptibility of Pseudomonas aeruginosa to antimicrobials over an 18-year period (2000-2017) in order to evaluate the adequacy of the antimicrobial therapy against this organism in patients admitted in a tertiary Spanish hospital (excluding the intensive care unit). In addition, the antimicrobial activity was evaluated using pharmacokinetic/pharmacodynamic (PK/PD) criteria as a microbiological surveillance tool.
Susceptibility was studied according to the Clinical and Laboratory Standards Institute breakpoints. Monte Carlo simulations were conducted to calculate the cumulative fraction of response (CFR). Linear regression analysis was applied to determine the trends in susceptibility and in the CFR.
In 2017, susceptibility rates were: amikacin, penicillins and cephalosporins ≥85%, tobramycin 76%, meropenem 75% and gentamicin, imipenem and fluoroquinolones <70%. PK/PD analyses was able to identify changes in antimicrobial activity not detected by only assessing MICs; meropenem administered in extended infusion attained a CFR >90%, ceftazidime, piperacillin/tazobactam and imipenem provided CFRs between 80-90%, all of them administered at the highest doses.
Analysis of susceptibility and PK/PD modelling, should be considered together to select the most appropriate antimicrobial drug and dosage regimen. Empirical antipseudomonal therapy would vary considerably if both microbiological surveillance tools were considered. In this study, the PK/PD analysis made it possible to preserve the therapeutic value of antimicrobials with low susceptibility rates, such as carbapenems, and the selection of the most effective antimicrobials among those with high rates of susceptibility.
我们分析了18年期间(2000 - 2017年)铜绿假单胞菌对抗菌药物敏感性的变化,以评估西班牙一家三级医院(不包括重症监护病房)收治患者针对该菌的抗菌治疗是否充分。此外,使用药代动力学/药效学(PK/PD)标准评估抗菌活性,作为一种微生物监测工具。
根据临床和实验室标准协会的断点研究敏感性。进行蒙特卡洛模拟以计算反应累积分数(CFR)。应用线性回归分析确定敏感性和CFR的趋势。
2017年,敏感性率分别为:阿米卡星、青霉素和头孢菌素≥85%,妥布霉素76%,美罗培南75%,庆大霉素、亚胺培南和氟喹诺酮类<70%。PK/PD分析能够识别仅通过评估最低抑菌浓度(MIC)未检测到的抗菌活性变化;延长输注时间给药的美罗培南CFR>90%,头孢他啶、哌拉西林/他唑巴坦和亚胺培南的CFR在80 - 90%之间,均以最高剂量给药。
应综合考虑敏感性分析和PK/PD建模,以选择最合适的抗菌药物和给药方案。如果同时考虑这两种微生物监测工具,经验性抗假单胞菌治疗会有很大差异。在本研究中,PK/PD分析使得能够保留低敏感性率抗菌药物(如碳青霉烯类)的治疗价值,并在高敏感性率抗菌药物中选择最有效的药物。