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Record W4296780085 · doi:10.1093/pch/21.supp5.e93

Characteristics and Trends in Intentional Acetaminophen Intoxication in Adolescents Over Two Decades

2016· article· en· W4296780085 on OpenAlexaboutno aff
M Caudron, R Gosselin-Papadopoulos, O Jamoulle, Salma Swaleh, D Taddeo, JY Frappier

Bibliographic record

VenuePaediatrics & Child Health · 2016
Typearticle
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAcetaminophenMedicineDemographicsConfidence intervalIngestionPediatricsPopulationTertiary careInjury preventionPoison controlDemographyEmergency medicineAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: Acetaminophen is a common drug used for self-poisoning in adolescents, and an important cause of acute liver failure in the pediatric population. Data regarding intentional acetaminophen intoxication in Canadian youths is limited. OBJECTIVES: The purpose of the study was to describe the characteristics of intentional acetaminophen intoxications in Canadian adolescents and evaluate its evolution over two decades. DESIGN/METHODS: We performed a retrospective chart review of intentional acetaminophen ingestions in adolescents (11-18 years old) hospitalized at a Canadian pediatric tertiary care centre between 1989 and 2009. We recorded the patients’ sociodemographic data, as well as the characteristics, complications and treatments of the intoxications. Data was compared across approximately five year periods as a group, then in both sexes separately. RESULTS: A total of 383 cases were examined, 53 of which were in male patients and 330 in female patients. Given the small number of male patients, only female patients were included in this analysis. There were 200 cases within the time intervals 1 and 2 (1989-1993, 1994-1998) and 130 cases within the time intervals 3 and 4 (1999-2003, 2004-2009). Demographics were relatively constant across the time periods. Impulsive gestures were indicated as the motivation in almost 80% of cases, which remained stable over time (p=0.56). The ingestion of additional substances and the quantity of acetaminophen also remained constant over time (p=0.79 and p=0.46). Mean time to physician consultation significantly increased in time from 6h in interval 1 to 13.4h in interval 4 (p=0.0001). The proportion of ICU admissions, coagulopathy and multiple organ failures also increased across time intervals (p=0.01, 0.03 and 0.03 respectively). There was no definitive linear trend in cases of hepatitis, encephalopathy or acute kidney injury (p=0.26, 0.81 and 0.27 respectively). There were two deaths, and one liver transplant over the 21-year period. Treatment significantly changed over time with progressive increase in N-acetylcysteine use from 47.4% to 81.1% (p=<0.0001) and progressive decline in charcoal use from 70.2% to 17.6% (p<0.0001) in intervals 1 to 4. Poison centre consultations significantly increased in time from 14.4% in interval 1 to 67.7% in interval 4 (p<0.0001). CONCLUSION: We suggest that the apparent severity increase in adolescent acetaminophen intoxication is related to the progressive increase in time to physician consultation with associated delays in treatment. The changes in management observed over the 21-year period is likely reflective of the evolution and availability of treatment protocols. Furthermore, the increase in poison centre consultations may account for part of the decrease in treatment variability across 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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.640
Threshold uncertainty score0.724

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.320
Teacher spread0.304 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations2
Published2016
Admission routes1
Has abstractyes

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