Evidence map›Paper›PMID 37994980›Full record

Trial reportPediatric nephrology (Berlin, Germany)2024

Predictors of augmented renal clearance based on iohexol plasma clearance in critically ill children.

Evelyn Dhont, Tatjana Van Der Heggen, Evelien Snauwaert, Jef Willems, Siska Croubels, Joris Delanghe, Jan J De Waele, Roos Colman, Johan Vande Walle, Peter De Paepe and 1 more

Registry-linked trialOpen access · greenAbstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Pediatric nephrology (Berlin, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05179564 (Comparison of Different Methods to Assess Glomerular Filtration Rate in Critically Ill Children), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% 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.

NCT05179564 nacompletednot on this map

Comparison of Different Methods to Assess Glomerular Filtration Rate in Critically Ill Children

TypeinterventionalSponsorUniversity Hospital, GhentRan2018 to 2021Enrolled100ConditionsIohexol, Pharmacokinetics, Renal Function, Critically Ill ChildrenArmsiohexol administration, iohexol blood sampling
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Prevalence and Associated Explanatory Factors for Augmented Renal Clearance in Early Sepsis: Single-Center, Retrospective PICU Cohort in China, 2022-2023.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2025
    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

11 authors at 2 institutions in 1 country.

Evelyn DhontPediatric Intensive Care Unit, Department of Intensive Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium. evelyn.dhont@uzgent.be.ORCID 0000-0002-8969-2941
Tatjana Van Der HeggenDepartment of Basic and Applied Medical Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Evelien SnauwaertDepartment of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Jef WillemsPediatric Intensive Care Unit, Department of Intensive Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Siska CroubelsDepartment of Pathobiology, Pharmacology and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
Joris DelangheDepartment of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Jan J De WaeleDepartment of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Roos ColmanBiostatistics Unit, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Johan Vande WalleDepartment of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Peter De PaepeDepartment of Basic and Applied Medical Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Pieter A De CockPediatric Intensive Care Unit, Department of Intensive Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Ghent University Hospital · BEGhent University · BE

Funding

Research Foundation Flanders 1881020NTrasher Research Fund 15174
6 · The paper itself

Abstract

backgroundAugmented renal clearance (ARC) holds a risk of subtherapeutic drug concentrations. Knowledge of patient-, disease-, and therapy-related factors associated with ARC would allow predicting which patients would benefit from intensified dosing regimens. This study aimed to identify ARC predictors and to describe ARC time-course in critically ill children, using iohexol plasma clearance (CL

methodsThis is a retrospective analysis of data from the "IOHEXOL" study which validated GFR estimating formulas (eGFR) against CL

resultsEighty-five patients were included; 57% were postoperative patients. Median CL

conclusionsOur findings raise PICU clinician awareness about increased risk for ARC after major surgery and in patients with eGFR above age-specific thresholds. This knowledge enables identification of patients with an ARC risk profile who would potentially benefit from a dose increase at initiation of treatment to avoid underexposure.

trial registrationClinicalTrials.gov NCT05179564, registered retrospectively on January 5, 2022.

Indexed as

Critical IllnessIohexolChildCreatinineGlomerular Filtration RateHumansKidney Function TestsRetrospective StudiesCreatinineIohexolAugmented renal clearanceChildrenGlomerular filtration rateIntensive careKidney function

Identifiers

PMID37994980
OpenAlexW4388929305

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.