Evidence map›Paper›PMID 42033156›Full record

ArticleCPT: pharmacometrics & systems pharmacology2026

Midazolam Dosing During CRRT: A Combined Ex Vivo and Physiologically-Based Pharmacokinetic Approach.

Autumn M McKnite, Abdullah Hamadeh, J Porter Hunt, Danielle J Green, Carina Imburgia, Aviva Whelan, Rachel Hudson, Andrew Chevalier, Cheryl L Mathis, Michelle J Yang and 3 more

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Autumn M McKniteDepartment of Pharmacology and Toxicology, University of Utah, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0001-7985-2991
Abdullah HamadehUniversity of Waterloo, School of Pharmacy, Waterloo, Ontario, Canada.ORCID https://orcid.org/0000-0002-9419-1797
J Porter HuntDivision of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.
Danielle J GreenDivision of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0001-6924-3797
Carina ImburgiaDivision of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.
Aviva WhelanDivision of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0001-8968-3183
Rachel HudsonDivision of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.
Andrew ChevalierDivision of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.
Cheryl L MathisDivision of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.
Michelle J YangDivision of Neonatology, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.
Jamie P DwyerDivision of Nephrology and Hypertension, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.
Andrea EdgintonUniversity of Waterloo, School of Pharmacy, Waterloo, Ontario, Canada.ORCID https://orcid.org/0000-0002-9014-1653
Kevin M WattDivision of Clinical Pharmacology, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.

Funding

Multidisciplinary Pulmonary and Critical Care Training ProgramT32HL105321 · NHLBI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Ramsey Hachem, Robert Paine · 2010 to 2026
$4.5M
Physiologically-Based Pharmacokinetic Approach to Determine Dosing on Extracorporeal Life SupportR01HD097775 · NICHD · UNIVERSITY OF UTAH · PI WATT, KEVIN M · 2019 to 2023
$2.7M
Anakinra Dosing in Children with Sepsis Induced MODS: A Physiologically Based Pharmacokinetic-Pharmacodynamic ApproachK23HD115855 · NICHD · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Danielle Green · 2025 to 2026
$335k
Investigation of Drug-Drug and Drug-Circuit Interactions in Children on Continuous Renal Replacement TherapyF31DK130542 · NIDDK · UNIVERSITY OF UTAH · PI MCKNITE, AUTUMN · 2022 to 2023
$74k
American Foundation for Pharmaceutical Education Pre-Doctoral Research Fellowship in Pharmaceutical SciencesEunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Obstetrics and Pediatric Pharmacology and Therapeutics Branch (OPPTB) P30HD106451Indiana University-Ohio State University Maternal and Pediatric Precision in Therapeutics Data, Model, Knowledge, and Research Coordination CenterNational Institute of Child Health and Human Development R01HD097775NHLBI NIH HHS 2T32HL105321NHLBI NIH HHS T32 HL105321NICHD NIH HHS K23 HD115855NICHD NIH HHS R01 HD097775NIDDK NIH HHS F31DK130542Thrasher Research Fund
6 · The paper itself

Abstract

Children supported with continuous renal replacement therapy have high mortality rates ranging from 30% to 70%. The cause of this high mortality is multifactorial and includes ineffective drug dosing and altered drug pharmacokinetics. Changes in drug exposure can result from (1) underlying disease; and (2) direct drug interaction and/or clearance by the circuit. The extent to which these effects interact and modify drug pharmacokinetics is currently unknown for most drugs. As a result, there is little guidance on drug dosing in this population. We have developed a combined ex vivo and physiologically-based pharmacokinetic modeling approach to mechanistically model midazolam concentrations in pediatric patients on continuous renal replacement therapy. Published models were scaled to children and modified to incorporate patient-specific physiological changes due to critical illness including residual renal function, hematocrit, albumin levels, and inflammation-induced downregulation of drug metabolizing enzymes. A compartment representing the dialysis circuit was created, parameterized using ex vivo data, and added to the full child physiological based pharmacokinetic model. The child model was then used to predict drug exposure in children undergoing continuous renal replacement therapy. Observed data from an ongoing opportunistic pharmacokinetic study were used to validate the models. The midazolam continuous renal replacement therapy models accurately represented drug concentrations and were used to predict optimal drug dosing. Model informed dosing for all age groups fell within the standard dosing range suggesting no changes are needed during continuous renal replacement therapy.

Indexed as

Continuous Renal Replacement TherapyMidazolamModels, BiologicalAdolescentChildChild, PreschoolDose-Response Relationship, DrugFemaleHumansInfantMaleMidazolamcontinuous renal replacement therapyex vivomidazolampediatricsphysiologically‐based pharmacokinetic modeling

Identifiers

PMID42033156
PMCPMC13274749

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Registered trials

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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.