Evidence map›Paper›PMID 39092928›Full record

ArticleThe Journal of antimicrobial chemotherapy2024

Identifying optimal dosing strategies for meropenem in the paediatric intensive care unit through modelling and simulation.

Ronaldo Morales Junior, Tomoyuki Mizuno, Kelli M Paice, Kathryn E Pavia, H Rhodes Hambrick, Peter Tang, Rhonda Jones, Abigayle Gibson, Erin Stoneman, Calise Curry and 2 more

Abstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Correlation Between Renal Biomarkers, Glomerular Filtration Rate, and Meropenem Clearance in Pediatric Septic Shock.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026
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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

12 authors.

Ronaldo Morales JuniorDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.ORCID 0000-0002-5856-3717
Tomoyuki MizunoDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Kelli M PaiceDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Kathryn E PaviaDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
H Rhodes HambrickDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Peter TangDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Rhonda JonesClinical Quality Improvement Systems, James M. Anderson Center for Health Systems Excellence, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Abigayle GibsonDivision of Critical Care Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Erin StonemanDivision of Critical Care Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Calise CurryDivision of Hospital Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Jennifer KaplanDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Sonya Tang GirdwoodDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.ORCID 0000-0001-7737-8499

Funding

T32 Cincinnati Pediatric Clinical Pharmacology Training ProgramT32HD069054 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI TRACY A GLAUSER, Sonya C Tang Girdwood · 2011 to 2026
$3.0M
RESEARCH TRAINING IN PEDIATRIC NEPHROLOGYT32DK007695 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI DEVARAJAN, PRASAD · 1992 to 2023
$2.2M
Antibiotic Model-Informed Precision Dosing in Critical IllnessR35GM146701 · NIGMS · CINCINNATI CHILDRENS HOSP MED CTR · PI Sonya C Tang Girdwood · 2022 to 2026
$2.0M
Eunice Kennedy Shriver National Institute of Child Health and Human Development T32HD069054NICHD NIH HHS T32 HD069054NIDDK NIH HHS T32 DK007695NIGMS NIH HHS R35 GM146701NIH HHS R35GM14670
6 · The paper itself

Abstract

backgroundMeropenem, a β-lactam antibiotic commonly prescribed for severe infections, poses dosing challenges in critically ill patients due to highly variable pharmacokinetics.

objectivesWe sought to develop a population pharmacokinetic model of meropenem for critically ill paediatric and young adult patients. PATIENTS AND

methodsPaediatric intensive care unit patients receiving meropenem 20-40 mg/kg every 8 h as a 30 min infusion were prospectively followed for clinical data collection and scavenged opportunistic plasma sampling. Nonlinear mixed effects modelling was conducted using Monolix®. Monte Carlo simulations were performed to provide dosing recommendations against susceptible pathogens (MIC ≤ 2 mg/L).

resultsData from 48 patients, aged 1 month to 30 years, with 296 samples, were described using a two-compartment model with first-order elimination. Allometric body weight scaling accounted for body size differences. Creatinine clearance and percentage of fluid balance were identified as covariates on clearance and central volume of distribution, respectively. A maturation function for renal clearance was included. Monte Carlo simulations suggested that for a target of 40% fT > MIC, the most effective dosing regimen is 20 mg/kg every 8 h with a 3 h infusion. If higher PD targets are considered, only continuous infusion regimens ensure target attainment against susceptible pathogens, ranging from 60 mg/kg/day to 120 mg/kg/day.

conclusionsWe successfully developed a population pharmacokinetic model of meropenem using real-world data from critically ill paediatric and young adult patients with an opportunistic sampling strategy and provided dosing recommendations based on the patients' renal function and fluid status.

Indexed as

Anti-Bacterial AgentsCritical IllnessIntensive Care Units, PediatricMeropenemMicrobial Sensitivity TestsMonte Carlo MethodAdolescentAdultChildChild, PreschoolFemaleHumansInfantMaleProspective StudiesYoung AdultAnti-Bacterial AgentsMeropenem

Identifiers

PMID39092928
PMCPMC11442002

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.