Optimising tazobactam dosing in critically ill adult patients without renal replacement therapy: a population pharmacokinetic analysis of individual patient data pooled from multiple clinical studies

Critically ill patients exhibit altered β-lactam pharmacokinetics (PK), yet β-lactamase inhibitor exposure is often overlooked during dose optimisation. This study characterised the PK of tazobactam in critically ill patients and defined optimal dosing regimens that achieve different pharmacokinetic/pharmacodynamic (PK/PD) targets. Tazobactam concentration-time data from nine clinical studies were analysed using nonlinear mixed-effects modelling with Monolix. One- and two-compartment models with linear elimination were evaluated, and covariates were identified. The probability of target attainment at steady state was evaluated across multiple dosing regimens for various PK/PD targets at estimated glomerular filtration rates (eGFR) of 40, 80, and 140 mL/min. A total of 1771 plasma concentration-time data points for tazobactam from 421 patients were included in the analysis. A two-compartment model with linear elimination adequately described tazobactam PK. eGFR, weight and co-administered antimicrobial (piperacillin or ceftolozane) were identified as factors influencing tazobactam clearance. Standard dosing regimens achieved the conservative target of 20% fT > 1 mg/L at 80 mL/min and 140 mL/min. However, aggressive targets (50%, 85%, and 100% fT > 2 mg/L ; 100% fT > 4 mg/L ), which may be relevant for high-level β-lactamase expression, were rarely met in patients with an eGFR of 140 mL/min. Achieving these targets required higher tazobactam doses administered through continuous infusion. Standard tazobactam dosing often failed to meet the aggressive PK/PD targets at higher eGFR, indicating a substantial risk of underexposure in critically ill patients with augmented renal clearance, supporting the need for dose optimisation, particularly in scenarios of high-level β-lactamase expression.

Authors

Institutions

Publication Details

Journal
Critical Care
Published
2026-09-09
DOI
https://doi.org/10.1186/s13054-026-06321-1
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Optimising tazobactam dosing in critically ill adult patients without renal replacement therapy: a population pharmacokinetic analysis of individual patient data pooled from multiple clinical studies

Dominique Breilh, Robert Walker, Kadri Tamme, Fekade B. Sime et al.
Critical Care
Antibiotic Resistance in Bacteria
article

Optimising tazobactam dosing in critically ill adult patients without renal replacement therapy: a population pharmacokinetic analysis of individual patient data pooled from multiple clinical studies

Dominique Breilh, Robert Walker, Kadri Tamme, Fekade B. Sime, Pier Giorgio Cojutti, Federico Pea, C. Carrié, Getnet Mengistu Assefa, Marta Ulldemolins, Zenaw T Wolie, Arantxa Isla, Mohd H. Abdul-Aziz, Jason A. Roberts, Markus Zeitlinger, Xin Liu
article en

Abstract

Critically ill patients exhibit altered β-lactam pharmacokinetics (PK), yet β-lactamase inhibitor exposure is often overlooked during dose optimisation. This study characterised the PK of tazobactam in critically ill patients and defined optimal dosing regimens that achieve different pharmacokinetic/pharmacodynamic (PK/PD) targets. Tazobactam concentration-time data from nine clinical studies were analysed using nonlinear mixed-effects modelling with Monolix. One- and two-compartment models with linear elimination were evaluated, and covariates were identified. The probability of target attainment at steady state was evaluated across multiple dosing regimens for various PK/PD targets at estimated glomerular filtration rates (eGFR) of 40, 80, and 140 mL/min. A total of 1771 plasma concentration-time data points for tazobactam from 421 patients were included in the analysis. A two-compartment model with linear elimination adequately described tazobactam PK. eGFR, weight and co-administered antimicrobial (piperacillin or ceftolozane) were identified as factors influencing tazobactam clearance. Standard dosing regimens achieved the conservative target of 20% fT > 1 mg/L at 80 mL/min and 140 mL/min. However, aggressive targets (50%, 85%, and 100% fT > 2 mg/L ; 100% fT > 4 mg/L ), which may be relevant for high-level β-lactamase expression, were rarely met in patients with an eGFR of 140 mL/min. Achieving these targets required higher tazobactam doses administered through continuous infusion. Standard tazobactam dosing often failed to meet the aggressive PK/PD targets at higher eGFR, indicating a substantial risk of underexposure in critically ill patients with augmented renal clearance, supporting the need for dose optimisation, particularly in scenarios of high-level β-lactamase expression.

Critical Care
Université de Bordeaux (FR), The University of Queensland (AU), University of the Basque Country (ES), Royal Brisbane and Women's Hospital (AU), Tartu University Hospital (EE), Centre Hospitalier Universitaire de Bordeaux (FR), Metro South Health (AU), Bordeaux Population Health (FR), Hôpital Pellegrin (FR), Wollo University (ET), Hospital Clínic de Barcelona (ES), Azienda USL di Bologna (IT), Centro de Tecnologías Aeronauticas (Spain) (ES), Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES), University of Tartu (EE), Medical University of Vienna (AT), University of Otago (NZ), Debre Markos University (ET), University of Bologna (IT)
Good health and well-being
Openalex Percentile: Top 19%
Antibiotic Resistance in Bacteria
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.