Evidence map›Paper›PMID 40754267›Full record

ArticleInternational journal of antimicrobial agents2025

Piperacillin/tazobactam clearance predicted by non-creatinine based estimates of GFR in critically ill adults.

Erin F Barreto, Jack Chang, Andrew D Rule, Kristin C Cole, Lindsay Fogelson, Johar Paul, Paul J Jannetto, Arjun P Athreya, Marc H Scheetz, BLOOM Study Group

Abstract read
In one paragraph

Article in International journal of antimicrobial agents, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Erin F BarretoDepartment of Pharmacy, Mayo Clinic, Rochester, MN, USA. Electronic address: Barreto.erin@mayo.edu.
Jack ChangClinical Pharmacology Sciences, Gilead Sciences, Inc., Foster City, CA, USA.
Andrew D RuleDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA; Division of Epidemiology, Mayo Clinic, Rochester, MN, USA.
Kristin C ColeDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA.
Lindsay FogelsonAnesthesia Clinical Research Unit, Mayo Clinic, Rochester, MN, USA.
Johar PaulAnesthesia Clinical Research Unit, Mayo Clinic, Rochester, MN, USA.
Paul J JannettoDepartment of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, MN, USA.
Arjun P AthreyaDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Marc H ScheetzDepartment of Pharmacy Practice, Chicago College of Pharmacy, Pharmacometrics Center of Excellence, Midwestern University, Downers Grove, IL, USA; Department of Pharmacy, Northwestern Medicine, Chicago, IL, USA.
BLOOM Study Group

Funding

Beta-lactam individualization for critically ill patientsK23AI143882 · NIAID · MAYO CLINIC ROCHESTER · PI BARRETO, ERIN FRAZEE · 2020 to 2024
$986k
NIAID NIH HHS K23 AI143882
6 · The paper itself

Abstract

BACKGROUND AND

objectiveAs a renally-eliminated beta-lactam antibiotic, estimated glomerular filtration rate (eGFR) is a central component of piperacillin/tazobactam pharmacokinetics. This study aimed to determine the optimal eGFR equation for inclusion in population pharmacokinetic models for piperacillin and tazobactam among critically ill adults.

methodsThe study included critically ill adults treated with piperacillin/tazobactam at a single academic medical center between 2018 and 2022. Excluded individuals had acute kidney injury, received kidney replacement therapy, or had extracorporeal membrane oxygenation at piperacillin/tazobactam initiation. Non-linear mixed effects population pharmacokinetic models using eGFR equations with creatinine, cystatin C, or both were developed and compared.

resultsUsing 377 samples from 120 critically ill patients, we found that a two-compartment model with first-order elimination best fit the piperacillin data and a one-compartment model with first-order elimination best fit the tazobactam data. For piperacillin, the final population mean parameters (standard error) were 8.36 (0.55) L/h for CL and 12.96 (1.17) L for V1. The values for Q and V2 were fixed at 0.98 L/h and 18 L, respectively, due to low interindividual variation in these parameters. For tazobactam, the final population mean parameters were 8.12 (0.52) L/h for CL and 16.87 (1.44) L for V. Both final models identified eGFR

conclusionsAn eGFR equation that includes cystatin C improves the predictive performance of pharmacokinetic models for piperacillin/tazobactam in critically ill adults.

Indexed as

Anti-Bacterial AgentsGlomerular Filtration RatePiperacillin, Tazobactam Drug CombinationAdultAgedCreatinineCritical IllnessCystatin CFemaleHumansMaleMiddle AgedPiperacillinAnti-Bacterial AgentsCreatinineCystatin CPiperacillinPiperacillin, Tazobactam Drug CombinationBeta-lactamsCritical illnessCystatin CExtended-spectrum beta-lactamaseMultidrug resistancePharmacokineticsSepsis

Identifiers

PMID40754267
PMCPMC12338077

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.