Evidence map›Paper›PMID 36830294›Full record

ArticleAntibiotics (Basel, Switzerland)2023

Meropenem Model-Informed Precision Dosing in the Treatment of Critically Ill Patients: Can We Use It?

Letao Li, Sebastiaan D T Sassen, Tim M J Ewoldt, Alan Abdulla, Nicole G M Hunfeld, Anouk E Muller, Brenda C M de Winter, Henrik Endeman, Birgit C P Koch

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

9 authors.

Letao LiDepartment of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.
Sebastiaan D T SassenDepartment of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.ORCID 0000-0002-4525-638X
Tim M J EwoldtDepartment of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.ORCID 0000-0002-2918-2210
Alan AbdullaDepartment of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.
Nicole G M HunfeldDepartment of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.
Anouk E MullerCenter for Antimicrobial Treatment Optimization Rotterdam (CATOR), 3015 GD Rotterdam, The Netherlands.ORCID 0000-0001-5042-6251
Brenda C M de WinterDepartment of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.
Henrik EndemanDepartment of Intensive Care, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.
Birgit C P KochDepartment of Hospital Pharmacy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of pharmacokinetic (PK) models of meropenem is increasing. However, the daily role of these PK models in the clinic remains unclear, especially for critically ill patients. Therefore, we evaluated the published meropenem models on real-world ICU data to assess their suitability for use in clinical practice. All models were built in NONMEM and evaluated using prediction and simulation-based diagnostics for the ability to predict the subsequent meropenem concentrations without plasma concentrations (a priori), and with plasma concentrations (a posteriori), for use in therapeutic drug monitoring (TDM). Eighteen PopPK models were included for evaluation. The a priori fit of the models, without the use of plasma concentrations, was poor, with a prediction error (PE)% of the interquartile range (IQR) exceeding the ±30% threshold. The fit improved when one to three concentrations were used to improve model predictions for TDM purposes. Two models were in the acceptable range with an IQR PE% within ±30%, when two or three concentrations were used. The role of PK models to determine the starting dose of meropenem in this population seems limited. However, certain models might be suitable for TDM-based dose adjustment using two to three plasma concentrations.

Indexed as

ICUmeropenemmodel-informed precision dosingmodel validationpopulation pharmacokineticsreal-world patientssepsisTDM

Identifiers

PMID36830294
PMCPMC9951903

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.