Background: The accurate measurement of plasma levels of antibiotics is crucial for the individualization of antimicrobial therapies based on PK/PD strategies. In this paper we describe a new rapid and simple LC–MS/MS platform for quantifying 14 antibiotics (amikacin, amoxicillin, ceftazidime, ciprofloxacin, colistin, daptomycin, gentamicin, linezolid, meropenem, piperacillin, teicoplanin, tigecycline, tobramycin and vancomycin) and a beta-lactamase inhibitor (tazobactam) starting from 50 μL plasma samples. Methods: Analyses were performed on a Thermo Scientific™ Ultimate™ 3000 LC system (Thermo Fisher Scientific, Milan, Italy) coupled to a Thermo Scientific™ TSQ Quantiva™ Triple Quadrupole mass spectrometer. After fast protein precipitation protocols and addition of deuterated internal standards, samples were subjected to a fast HPLC gradient separation and the 15 drugs were quantified using multiple reaction monitoring of specific transitions over a wide range of concentrations. The suitability of the assay for TDM was tested on plasma samples derived from pediatric patients under treatment with one or more antibiotics. Results: The overall turnaround time of the assay was 20 min. The assay was validated following EMA guidelines for bioanalytical method validation and showed excellent accuracy (ranging from 85.3 and 112.7) and reproducibility (ranging from 1.3 to 9.7) as well as the absence of matrix effects (<15 %) for all the drugs tested. The lower limits of quantifications were between 0.1 and 2 mg/L. the recovery rate exceeded 85 % for all the drug tested. Stability was evaluated in different conditions thus allowing the setting up of reliable operative procedures. Conclusions: This work provides a LC–MS/MS platform validated for clinical use for a rapid quantification of a broad spectrum of drugs having different chemical characteristics in a small volume of plasma and is suitable for real-time TDM-guided personalization of antimicrobial treatment in critically ill patients.

A liquid chromatography-tandem mass spectrometry platform for the routine therapeutic drug monitoring of 14 antibiotics: Application to critically ill pediatric patients

Pea F.;
2020-01-01

Abstract

Background: The accurate measurement of plasma levels of antibiotics is crucial for the individualization of antimicrobial therapies based on PK/PD strategies. In this paper we describe a new rapid and simple LC–MS/MS platform for quantifying 14 antibiotics (amikacin, amoxicillin, ceftazidime, ciprofloxacin, colistin, daptomycin, gentamicin, linezolid, meropenem, piperacillin, teicoplanin, tigecycline, tobramycin and vancomycin) and a beta-lactamase inhibitor (tazobactam) starting from 50 μL plasma samples. Methods: Analyses were performed on a Thermo Scientific™ Ultimate™ 3000 LC system (Thermo Fisher Scientific, Milan, Italy) coupled to a Thermo Scientific™ TSQ Quantiva™ Triple Quadrupole mass spectrometer. After fast protein precipitation protocols and addition of deuterated internal standards, samples were subjected to a fast HPLC gradient separation and the 15 drugs were quantified using multiple reaction monitoring of specific transitions over a wide range of concentrations. The suitability of the assay for TDM was tested on plasma samples derived from pediatric patients under treatment with one or more antibiotics. Results: The overall turnaround time of the assay was 20 min. The assay was validated following EMA guidelines for bioanalytical method validation and showed excellent accuracy (ranging from 85.3 and 112.7) and reproducibility (ranging from 1.3 to 9.7) as well as the absence of matrix effects (<15 %) for all the drugs tested. The lower limits of quantifications were between 0.1 and 2 mg/L. the recovery rate exceeded 85 % for all the drug tested. Stability was evaluated in different conditions thus allowing the setting up of reliable operative procedures. Conclusions: This work provides a LC–MS/MS platform validated for clinical use for a rapid quantification of a broad spectrum of drugs having different chemical characteristics in a small volume of plasma and is suitable for real-time TDM-guided personalization of antimicrobial treatment in critically ill patients.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1182033
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