Evidence map›Paper›PMID 39912647›Full record

ArticleAntimicrobial agents and chemotherapy2025

Model-informed dose optimization for prophylactic piperacillin-tazobactam in perioperative pediatric critically ill patients.

Wen Rui Tan, Kei Irie, Carter McIntire, Julie Luna Torres, Rhonda Jones, Abigayle Gibson, Tomoyuki Mizuno, Sonya Tang Girdwood

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 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. Observational
  2. Albumin and Other Plasma Proteins in Pediatric Patients: What, When, and How Much They Influence Antimicrobial Pharmacology.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026
    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

8 authors.

Wen Rui TanDepartment of Pharmacology and System Physiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.ORCID 0009-0005-4033-2119
Kei IrieDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Carter McIntireHospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Julie Luna TorresHospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Rhonda JonesCritical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Abigayle GibsonCritical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Tomoyuki MizunoDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Sonya Tang GirdwoodDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.ORCID 0000-0001-7737-8499

Funding

Antibiotic Model-Informed Precision Dosing in Critical IllnessR35GM146701 · NIGMS · CINCINNATI CHILDRENS HOSP MED CTR · PI Sonya C Tang Girdwood · 2022 to 2026
$2.0M
HHS | NIH | National Institute of General Medical Sciences (NIGMS) R35GM145701NIGMS NIH HHS R35 GM146701
6 · The paper itself

Abstract

Piperacillin/tazobactam (PTZ) is frequently prescribed during the perioperative period as prophylaxis in critically ill patients. Current international guidelines recommend that the pediatric intraoperative dosing regimen for PTZ be 90-112.5 mg/kg (80-100 mg/kg as piperacillin [PIP]) administered every 2 hours (Q2H). Concerns have been raised not only about the risk of nephrotoxicity due to elevated PIP exposure but also regarding the practicality of adhering to a 2-h dosing interval in clinical settings. To address these concerns, we employed population pharmacokinetic (PK) modeling and simulation approaches to optimize PTZ dosing regimens in pediatric intraoperative patients. PIP plasma concentration data were obtained from 34 patients using an opportunistic sampling strategy. A two-compartment model was found to adequately describe the PK data. Creatinine clearance was identified as a significant covariate on clearance. The inclusion of inter-occasion variability significantly improved model fit. Simulations across body weights of 10-70 kg and creatinine clearance of 20-130 mL/min/1.73 m

Indexed as

Anti-Bacterial AgentsPiperacillin, Tazobactam Drug CombinationAdolescentAntibiotic ProphylaxisChildChild, PreschoolCreatinineCritical IllnessFemaleHumansInfantMaleMicrobial Sensitivity TestsPiperacillinAnti-Bacterial AgentsCreatininePiperacillinPiperacillin, Tazobactam Drug Combinationbeta-lactammodeling and simulationpopulation pharmacokinetic

Identifiers

PMID39912647
PMCPMC11881557

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Registered trials

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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.