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Record W4408191848 · doi:10.1080/15563650.2025.2471915

Out-of-hospital assessment and triage of paracetamol (acetaminophen) exposure in the United States and Canada: a consensus guideline

2025· article· en· W4408191848 on OpenAlexaffabout
Evelyn Fox, Alicia Dalton, Michael E. Mullins, Theresa Matoushek, Anne‐Michelle Ruha, Michele M. Burns, Karen Simone, Michael C. Beuhler, Kennon Heard, Maryann Mazer-Amirshahi, Christine M. Stork, Shawn M. Varney, Alexandra R. Funk, F. Lee Cantrell, Jon B. Cole, William Banner, Andrew Stolbach, Robert G. Hendrickson, Scott Lucyk, Marco L.A. Sivilotti, Mark K. Su, Lewis S. Nelson, Barry H. Rumack, Richard C. Dart

Bibliographic record

VenueClinical Toxicology · 2025
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsQueen's UniversityUniversity of Calgary
Fundersnot available
KeywordsGuidelineTriageAcetaminophenMedicineClinical toxicologyMedical emergencyEmergency medicineEmergency departmentIntensive care medicineToxicologyAnesthesiaNursingPathology

Abstract

fetched live from OpenAlex

INTRODUCTION: Consensus guidelines for out-of-hospital assessment and triage of paracetamol (acetaminophen) exposure were published in 2006. Changes in the healthcare system, paracetamol ingestion trends, and availability of paracetamol-containing products necessitate an update to these guidelines. Updated guidelines were created for out-of-hospital management of paracetamol exposure in the United States and Canada. METHODS: A modified Delphi consensus methodology was used to create a decision framework to evaluate clinical aspects of care related to paracetamol overdose in the out-of-hospital setting. Twenty-one panelists were selected by four clinical toxicology societies (America's Poison Centers®, American Academy of Clinical Toxicology, American College of Medical Toxicology, and Canadian Association for Poison Centres and Clinical Toxicology) to participate as panelists. Guidelines were collected from most poison centers in the United States and Canada, and systematic collection and review of medical literature was conducted. RESULTS: The panel developed a guideline for out-of-hospital management of paracetamol exposure that encompasses acute and repeated supratherapeutic ingestion patterns. Acute ingestion is defined as any ingestion presenting within 24 h of initial ingestion, regardless of ingestion pattern. Repeated supratherapeutic ingestion is defined as an exposure that occurs over a period of 24 h or more. This guideline emphasizes the importance of obtaining accurate history. When ingestion history is determined as accurate, dosage and ingestion pattern are used to decide treatment referral. It is recommended that patients be referred to the emergency department if their ingestion amount is: (1) ≥200 mg/kg or 10 g (whichever is less) within 24 h; (2) ≥150 mg/kg/24 h or 6 g/day (whichever is less) within 48 h; (3) ≥100 mg/kg/24 h or 4 g/day (whichever is less) for more than 48 h. DISCUSSION: The need for standardizing the out-of-hospital assessment and triage of paracetamol exposure is pressing. Despite the availability of acetylcysteine, some patients develop fatal liver failure due to missed diagnoses and delays in treatment. Failure to recognize cases requiring acetylcysteine is associated with significant morbidity and mortality. CONCLUSION: This consensus statement provides evidence-based guidance for out-of-hospital management of paracetamol ingestion to standardize healthcare facility referral criteria for paracetamol exposed patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.242
Threshold uncertainty score0.487

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.033
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0100.009
Science and technology studies0.0040.003
Scholarly communication0.0040.002
Open science0.0080.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.156
GPT teacher head0.494
Teacher spread0.337 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes2
Has abstractyes

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