Evidence map›Paper›PMID 38107538›Full record

ArticleCritical care explorations2023

Impact of Various Estimated Glomerular Filtration Rate Equations on the Pharmacokinetics of Meropenem in Critically Ill Adults.

Erin F Barreto, Jack Chang, Andrew D Rule, Kristin C Mara, Laurie A Meade, Johar Paul, Paul J Jannetto, Arjun P Athreya, Marc H Scheetz

Open access · goldAbstract read
In one paragraph

Article in Critical care explorations, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Erin F BarretoDepartment of Pharmacy, Mayo Clinic, Rochester, MN.
Jack ChangDepartment of Pharmacy Practice, Chicago College of Pharmacy, Pharmacometrics Center of Excellence, Midwestern University, Downers Grove, IL.
Andrew D RuleDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN.
Kristin C MaraDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN.
Laurie A MeadeAnesthesia Clinical Research Unit, Mayo Clinic, Rochester, MN.
Johar PaulAnesthesia Clinical Research Unit, Mayo Clinic, Rochester, MN.
Paul J JannettoDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Arjun P AthreyaDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN.
Marc H ScheetzDepartment of Pharmacy Practice, Chicago College of Pharmacy, Pharmacometrics Center of Excellence, Midwestern University, Downers Grove, IL.
Mayo Clinic in Arizona · USMayo Clinic · USMayo Clinic in Florida · USNorthwestern Medicine · US

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

importanceMeropenem dosing is typically guided by creatinine-based estimated glomerular filtration rate (eGFR), but creatinine is a suboptimal GFR marker in the critically ill.

objectivesThis study aimed to develop and qualify a population pharmacokinetic model for meropenem in critically ill adults and to determine which eGFR equation based on creatinine, cystatin C, or both biomarkers best improves model performance. DESIGN SETTING AND

participantsThis single-center study evaluated adults hospitalized in an ICU who received IV meropenem from 2018 to 2022. Patients were excluded if they had acute kidney injury, were on kidney replacement therapy, or were treated with extracorporeal membrane oxygenation. Two cohorts were used for population pharmacokinetic modeling: a richly sampled development cohort ( MAIN OUTCOMES AND MEASURES: A nonlinear mixed-effects model was developed using parametric methods to estimate meropenem serum concentrations.

resultsThe best-fit structural model in the richly sampled development cohort was a two-compartment model with first-order elimination. The final model included time-dependent weight normalized to a 70-kg adult as a covariate for volume of distribution (Vd) and time-dependent eGFR for clearance. Among the eGFR equations evaluated, eGFR based on creatinine and cystatin C expressed in mL/min best-predicted meropenem clearance. The mean (se) Vd in the final model was 18.2 (3.5) liters and clearance was 11.5 (1.3) L/hr. Using the development cohort as the Bayesian prior, the opportunistically sampled cohort demonstrated good accuracy and low bias. CONCLUSIONS AND RELEVANCE: Contemporary eGFR equations that use both creatinine and cystatin C improved meropenem population pharmacokinetic model performance compared with creatinine-only or cystatin C-only eGFR equations in adult critically ill patients.

Indexed as

beta-lactamscritical illnesscystatin Cextended-spectrum beta-lactamasemultidrug resistancepharmacokineticssepsis

Identifiers

PMID38107538
PMCPMC10723891
OpenAlexW4389727282

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.