Evidence map›Paper›PMID 41823985›Full record

ArticleCritical care explorations2026

The Association of Iatrogenic Withdrawal With Opioid and Benzodiazepine Weaning in Children With Bronchiolitis: A Single-Center, Retrospective Cohort Study, 2012-2022.

Alice Shanklin, Eduardo A Trujillo Rivera, Murray M Pollack, Anita K Patel

Abstract read
In one paragraph

Article in Critical care explorations, 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

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2 · The registry

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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

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5 · Who and what money

Authors and funding

4 authors.

Alice ShanklinDivision of Pediatric Critical Care Medicine, Children's National Hospital, Washington, DC.
Eduardo A Trujillo RiveraDivision of Pediatric Critical Care Medicine, Children's National Hospital, Washington, DC.
Murray M PollackDivision of Pediatric Critical Care Medicine, Children's National Hospital, Washington, DC.
Anita K PatelDivision of Pediatric Critical Care Medicine, Children's National Hospital, Washington, DC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to determine the decrease in opioid and benzodiazepine doses associated with the development of withdrawal in children.

settingElectronic health record data.

interventionNone. PATIENTS: Four hundred and seven children who received invasive mechanical ventilation (IMV) between January 1, 2012 and January 1, 2022 with Withdrawal Assessment Tool-1 (WAT-1) scores during their IV opioid wean were included. MEASUREMENTS AND MAIN

resultsThe primary outcome was development of withdrawal, defined as a WAT-1 score greater than or equal to 3, during the IV opioid weaning phase. Descriptive data included age, weight, insurance, race, ethnicity, language, comorbidities, length of stay, and IMV duration. WAT-1 scores were recorded, and the cumulative IV and enteral opioids, benzodiazepines, and A2As were calculated. Recent changes in IV opioid and benzodiazepine doses were assessed in the 16 hours before each WAT-1 score divided into 4-hour periods. Doses were compared across 4-hour periods, and a multivariable mixed-effects model was used to assess their association with withdrawal. The presence of greater than or equal to 2 pediatric complex chronic condition classification system version 2 (CCC-V2) diagnosis categories (odds ratio [OR] 3.35; 95% CI, 2.61-5.15) was associated with withdrawal. Heart disease, prematurity, and IV opioid class switching did not qualify for model inclusion. Cumulative IV opioid dose and a decrease in opioid exposure between 16-12 and 4-0 hours before the WAT-1 score were associated with withdrawal (OR 1.02; 95% CI, 1.01-1.03; OR 1.92; 95% CI, 1.38-3.16). Morphine was associated with increased odds of withdrawal compared with fentanyl and hydromorphone (OR 1.48; 95% CI, 1.37-1.81). The model did not establish an association between cumulative IV benzodiazepine exposure or IV benzodiazepine dose decrease and withdrawal.

conclusionsPatients with a higher cumulative IV opioid dose, an IV opioid wean in the preceding 8-12 hours, and greater than or equal to 2 CCC-V2 categories had the highest odds of withdrawal in this single-center study. Morphine was associated with increased odds of withdrawal as well.

Indexed as

Analgesics, OpioidBenzodiazepinesSubstance Withdrawal SyndromeChild, PreschoolFemaleHumansIatrogenic DiseaseInfantMaleRespiration, ArtificialRetrospective StudiesAnalgesics, OpioidBenzodiazepinesalpha-2 agonists (dexmedetomidine, clonidine)critical bronchiolitisiatrogenic withdrawal

Identifiers

PMID41823985
PMCPMC12991735

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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.