Evidence map›Paper›PMID 42709714›Full record

ArticlePloS one2026

Supporting clinical guidelines for opioid conversion to methadone and tapering to prevent withdrawal in critically ill children using physiology based pharmacokinetic modeling and simulation.

Marika A de Hoop-Sommen, Sahar Alozai, Violette M G J Gijsen, Tjitske M van der Zanden, Henry T Akinbi, Tomoyuki Mizuno, Alexander A Vinks, Rick Greupink, Saskia N de Wildt

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

9 authors.

Marika A de Hoop-SommenDepartment of Pharmacy, Pharmacology and Toxicology, Radboud university medical center, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0003-1923-2111
Sahar AlozaiRoyal Dutch Pharmacy Association (KNMP), Medicines Information Centre (GIC), The Hague, The Netherlands.ORCID https://orcid.org/0009-0000-0732-7012
Violette M G J GijsenDepartment of Pharmacy, Pharmacology and Toxicology, Radboud university medical center, Nijmegen, The Netherlands.ORCID https://orcid.org/0009-0001-3144-9359
Tjitske M van der ZandenDepartment of Pharmacy, Pharmacology and Toxicology, Radboud university medical center, Nijmegen, The Netherlands.
Henry T AkinbiDivision of Neonatology, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States of America.
Tomoyuki MizunoDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America.
Alexander A VinksDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, United States of America.
Rick GreupinkDepartment of Pharmacy, Pharmacology and Toxicology, Radboud university medical center, Nijmegen, The Netherlands.
Saskia N de WildtDepartment of Pharmacy, Pharmacology and Toxicology, Radboud university medical center, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0002-0502-0647

Funding

Bill & Melinda Gates Foundation INV-001822
6 · The paper itself

Abstract

Long-term opioid use is common in critically ill children and can cause withdrawal symptoms at discontinuation. To avoid withdrawal, short-acting opioids are usually converted into a long-acting drug, such as methadone, which is then carefully tapered. However, the exact conversion ratio and the optimal tapering protocol are unknown. This study aimed to design optimized conversion and tapering schedules of morphine and fentanyl to methadone for pediatric intensive care unit patients using physiologically-based pharmacokinetic (PBPK) modeling and expert panel decision-making. PBPK models of fentanyl, morphine, and methadone were verified with published pharmacokinetic data and opioid conversion ratios and relevant tapering protocols identified through literature review. Then, plasma concentration-time curves of opioid infusions (1 µg/kg/h fentanyl, 10 µg/kg/h morphine), several opioid-methadone conversion ratios, and different methadone tapering protocols were simulated. Predicted methadone plasma concentrations were compared to minimal therapeutic concentrations (i.e., 1 ng/mL for fentanyl, 4 ng/mL for morphine, and 60 ng/mL for methadone). These simulations were reviewed by the expert panel consisting of pediatric intensivists and hospital pharmacists to establish recommendations. Simulations showed that a conversion ratio of 1:10 for fentanyl and 1:1 for morphine resulted in therapeutic methadone concentrations. Most previously established tapering recommendations resulted in equal maximum methadone concentrations, except for the low-risk tapering schedules of two of the three protocols. The robustness of these findings is reinforced by both a target attainment analysis and a sensitivity analysis employing the therapeutic target of methadone. The panel established consensus-based Dutch recommendations for conversion and tapering. These findings demonstrate that PBPK models can support dosing decisions by simulating clinical scenarios. The resulting recommendations have been implemented in the Dutch Pediatric Formulary, ensuring that the model-informed recommendations are directly applied in clinical practice.

Indexed as

Analgesics, OpioidMethadoneModels, BiologicalSubstance Withdrawal SyndromeChildChild, PreschoolComputer SimulationCritical IllnessFentanylHumansIntensive Care Units, PediatricMaleMorphinePractice Guidelines as TopicAnalgesics, OpioidFentanylMethadoneMorphine

Identifiers

PMID42709714
PMCPMC13552780

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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.