Evidence map›Paper›PMID 36251162›Full record

ArticleClinical pharmacokinetics2022

Meropenem Population Pharmacokinetics and Dosing Regimen Optimization in Critically Ill Children Receiving Continuous Renal Replacement Therapy.

Michael Thy, Saik Urien, Naim Bouazza, Frantz Foissac, Inès Gana, Emmanuelle Bille, Agathe Béranger, Julie Toubiana, Romain Berthaud, Fabrice Lesage and 4 more

Abstract read
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In one paragraph

Article in Clinical pharmacokinetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

14 authors at 3 institutions in 1 country.

Michael ThyService de Maladies Infectieuses et Tropicales, Hôpital Bichat Claude Bernard, AP-HP, Université Paris Cité, 75018, Paris, France. michael245thy@gmail.com.ORCID 0000-0001-9366-505X
Saik UrienUnité de Recherche Clinique-Centre d'Investigation Clinique, Hôpital Cochin-Necker, AP-HP, Université Paris Cité, Paris, France.
Naim BouazzaEA7323, Evaluation des Thérapeutiques et Pharmacologie Périnatale et Pédiatrique, Université Paris Cité, Paris, France.
Frantz FoissacEA7323, Evaluation des Thérapeutiques et Pharmacologie Périnatale et Pédiatrique, Université Paris Cité, Paris, France.
Inès GanaUnité de Recherche Clinique-Centre d'Investigation Clinique, Hôpital Cochin-Necker, AP-HP, Université Paris Cité, Paris, France.
Emmanuelle BilleService deMmicrobiologieHôpital Necker Enfants-Malades, AP-HP, Université Paris Cité, Paris, France.
Agathe BérangerEA7323, Evaluation des Thérapeutiques et Pharmacologie Périnatale et Pédiatrique, Université Paris Cité, Paris, France.
Julie ToubianaService de Pédiatrie Générale et Infectieuse, Assistance Publique-Hôpitaux de Paris, Hôpital Necker-Enfants Malades, AP-HP, Université Paris Cité, Paris, France.
Romain BerthaudService de Néphrologie Pédiatrique, Centre de Référence MARHEA, Hôpital Necker-Enfants Malades, AP-HP, Université Paris Cité, Paris, France.
Fabrice LesageService de Réanimation et Surveillance Continue Médicochirurgicales, Hôpital Necker Enfants-Malades, AP-HP, Université Paris Cité, Paris, France.
Sylvain RenolleauService de Réanimation et Surveillance Continue Médicochirurgicales, Hôpital Necker Enfants-Malades, AP-HP, Université Paris Cité, Paris, France.
Jean-Marc TréluyerEA7323, Evaluation des Thérapeutiques et Pharmacologie Périnatale et Pédiatrique, Université Paris Cité, Paris, France.
Sihem BenaboudEA7323, Evaluation des Thérapeutiques et Pharmacologie Périnatale et Pédiatrique, Université Paris Cité, Paris, France.
Mehdi OualhaEA7323, Evaluation des Thérapeutiques et Pharmacologie Périnatale et Pédiatrique, Université Paris Cité, Paris, France.
Hôpital Necker-Enfants Malades · FRUniversité Paris Cité · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveWe aimed to develop a meropenem population pharmacokinetic model in critically ill children receiving continuous renal replacement therapy and simulate dosing regimens to optimize patient exposure.

methodsMeropenem plasma concentration was quantified by high-performance liquid chromatography. Meropenem pharmacokinetics was investigated using a non-linear mixed-effect modeling approach. Monte Carlo simulations were performed to compute the optimal scheme of administration, according to the target of a 100% inter-dose interval time in which concentration is one to four times above the minimum inhibitory concentration (100% fT>1-4×MIC).

resultsA total of 27 patients with a median age of 4 [interquartile range 0-11] years, a median body weight of 16 [range 7-35] kg receiving continuous renal replacement therapy were included. Concentration-time courses were best described by a one-compartment model with first-order elimination. Body weight (BW) produced significant effects on volume of distribution (V) and BW and continuous renal replacement therapy effluent flow rate (Q

conclusionsMeropenem exposure in critically ill children receiving continuous renal replacement therapy needs dosing adjustments to the minimum inhibitory concentration that take into account body weight and the continuous renal replacement therapy effluent flow rate.

Indexed as

Continuous Renal Replacement TherapyAnti-Bacterial AgentsBody WeightChildChild, PreschoolCritical IllnessHumansInfantInfant, NewbornMeropenemMicrobial Sensitivity TestsRenal Replacement TherapyAnti-Bacterial AgentsMeropenem

Identifiers

PMID36251162
OpenAlexW4306377334

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.