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Record W3065545821 · doi:10.1093/pch/pxaa068.074

75 Paediatric Cannabinoid Hyperemesis Syndrome in the Emergency Department: a 5-year Retrospective Review

2020· article· en· W3065545821 on OpenAlexaff
Daniel Foster, Kristine Van Aarsen, Justin W. Yan, John Teefy, Tim Lynch

Bibliographic record

VenuePaediatrics & Child Health · 2020
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineEmergency departmentCannabisPediatricsNauseaVomitingAbdominal painDemographicsRetrospective cohort studyMedical recordEmergency medicineInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Cannabinoid Hyperemesis Syndrome (CHS) in paediatric patients is poorly characterized. Identification and treatment of adolescents presenting to the emergency department (ED) for suspected CHS is challenging. Given the paucity of literature on paediatric CHS and the recent legalization of cannabis, it is important to gain a better understanding of this disorder. Objectives The objective of this study was to describe demographics and ED visit data of paediatric patients presenting to the ED with suspected CHS. Design/Methods A retrospective chart review was conducted of paediatric patients (12-17 years) with suspected CHS presenting to one of two tertiary-care EDs; one paediatric (annual census 38,500) and one paediatric and adult (annual census 60,000) between April 2014-March 2019. Charts were selected based on discharge diagnosis of abdominal pain or nausea/vomiting with positive cannabis urine screen, or discharge diagnosis of cannabis use, using ICD-10 codes. Patients with confirmed or likely diagnosis of CHS were identified and data including demographics, clinical history, and ED investigations/treatments were recorded by a trained research assistant. Results A total of 242 patients met criteria for review. Thirty-nine were identified as having a confirmed or likely diagnosis of CHS (mean age 16.2, SD 0.85 years with 64% female), 87% were triaged as either CTAS-2 or CTAS-3 and 80% of patients had cannabis use frequency/duration documented. Of these, 89% reported at least daily use, the mean consumption was 1.30g/day (SD 1.13g/day), and all reported ≥6 months of heavy use. Sixty-nine percent of patients had at least one psychiatric comorbidity. When presenting to the ED, all had vomiting, 81% had nausea, 81% had abdominal pain and 30% reported weight loss. Investigations done included venous blood gas (30%), pregnancy test in females (84%), liver enzymes (57%), pelvic or abdominal ultrasound (19%), abdominal X-ray (19%), and CT head (5%). Eighty-nine percent of patients received treatment in the ED with 81% receiving anti-emetics, 68% receiving intravenous fluids, and 22% receiving analgesics. Normal saline was the most used intravenous fluid (80%) and ondansetron was the most used anti-emetic (90%). Cannabis was suspected to account for symptoms in 74% (with 31% of these given the formal diagnosis of CHS). Sixty-two percent of patients had another visit to the ED within 30 days (59% of these for similar symptoms). Conclusion This study of paediatric CHS reveals unique findings including a preponderance of female patients, a majority that consume cannabis daily, and weight loss reported in nearly 1/3rd. Many received extensive workups and most had multiple clustered visits to the ED.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
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 head0.020
GPT teacher head0.298
Teacher spread0.278 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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