哌拉西林
美罗培南
治疗药物监测
高效液相色谱法
色谱法
药代动力学
哌拉西林/他唑巴坦
化学
加药
抗生素
医学
药理学
抗生素耐药性
细菌
铜绿假单胞菌
生物
生物化学
遗传学
作者
Michael Paal,Marcus Heilmann,Simone Koch,Thomas Bertsch,Jörg Steinmann,Rainer Höhl,Uwe Liebchen,Carina Schuster,Frederick Kleine,Michael Vogeser
出处
期刊:Clinical Laboratory
[Clinical Laboratory Publications]
日期:2019-01-01
卷期号:65 (09/2019)
被引量:7
标识
DOI:10.7754/clin.lab.2019.190210
摘要
Therapeutic drug monitoring (TDM) of beta-lactam antibiotics has become a valuable tool to guide dosing in critically ill patients. The main goal of the study was to compare two routinely used techniques for beta-lactam TDM in intensive care unit (ICU) patient samples, namely isotope dilution liquid chromatography tandem mass spectrometry (ID-LC-MS/MS) and high-performance liquid chromatography combined with ultra-violet detection (HPLC-UV).A set of 80 sera/plasma samples from ICU patients receiving therapeutic meropenem or piperacillin dosage was investigated. Sample duplicates and quality assessment samples were assayed in parallel with an in-house LC-MS/MS and a commercially available IVD HPLC-UV kit. A pharmacokinetic and pharmacodynamic (PK/PD) target with ≥ 22.5 mg/L for piperacillin and ≥ 8.0 mg/L for meropenem was used for medical assessment of trough sample (n = 40) antibiotic concentrations.There was no difference between serum and Li-heparin plasmas. Concentration deviations were found for 4% of meropenem and 17% of piperacillin samples. Eliminating the influence of the systemic bias of approximately 10% for piperacillin, measurement discrepancies ≥ 25% between LC-MS/MS and HPLC-UV analyses were only observed for ≈ 4 - 6% of all samples. In the same way, identical PK/PD target attainment rates of 50 - 60% could be obtained.After correction of the analytical bias for piperacillin measurements, both methods showed comparable results, also with respect to clinical decision limits. HPLC-UV analysis is an adequate TDM methodology for testing of beta-lactam antibiotics in centers where no special knowledge in LC-MS/MS based TDM is present. However, potential matrix effects, interferences, and calibration issues for both methods must be taken into account.
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