ArticleClinical pharmacokinetics2026
Accurate Estimation of Glomerular Filtration Rate in Critically Ill Infants and Children Using a Iohexol Population Pharmacokinetic Modeling Approach.
Article in Clinical pharmacokinetics, 2026. 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 2 papers.
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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.
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.
Comparison of Different Methods to Assess Glomerular Filtration Rate in Critically Ill Children
Who cites it
2 citing papers in PubMed.
- Toward the Future: A Race-Agnostic, Bayesian Approach to Defining Glomerular Filtration for Personalized Drug Dosing.Clinical pharmacology and therapeutics · 2026Review
- Achieving therapeutic antibiotic levels during intermittent dosing of meropenem and piperacillin-tazobactam in critically ill children: the ATACC study.Antimicrobial agents and chemotherapy · 2026Observational
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
BACKGROUND AND
objectiveAccurate assessment of the glomerular filtration rate (GFR) is crucial in critically ill children, yet standard estimation formulas (eGFR) perform poorly, especially in the youngest. Iohexol plasma clearance is the reference standard for measured GFR; however, its routine use is limited by logistical constraints. This study aims to develop and internally validate a population pharmacokinetic model of iohexol in critically ill children, to derive a practical model-based GFR estimation formula (eGFR
methodsAfter administration of iohexol, up to six blood samples were drawn from 107 patients over a 6-hour interval. Data from 93 patients were used for model building, and from 31 patients for internal validation. Reference clearances were obtained using the post hoc Bayesian clearance estimates. Predictive performances of eGFR
resultsThe final model identified body surface area, serum creatinine, cystatin C, postoperative status, and clonidine treatment as significant predictors of iohexol clearance. eGFR
conclusionsA model-derived GFR estimation formula based on iohexol population pharmacokinetic modeling might allow for an accurate bedside assessment of kidney function in critically ill children, outperforming the Schwartz and Smeets/Pierce formulas, particularly in infants. External validation in larger pediatric intensive care unit populations, across the full age and GFR range, is warranted to confirm the generalizability of this equation and its potential for broader clinical application. CLINICAL
trial registrationClinicalTrials.gov NCT05179564, registered retrospectively on 5 January, 2022.
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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.