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Record W4409190555 · doi:10.1111/epi.18339

Circumstances surrounding sudden unexpected death in epilepsy in children: A national case series

2025· article· en· W4409190555 on OpenAlexafffundabout
Robyn Whitney, Anne E. Keller, Shelly‐Anne Li, Anita Datta, Matthew MacDonald, Maryam Nabavi Nouri, Daniela Pohl, Erick Sell, Gabriel M. Ronen, Mandeep S. Sidhu, Elisabeth Simard‐Tremblay, Michael S. Pollanen, Elizabeth Donner

Bibliographic record

VenueEpilepsia · 2025
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsMontreal Children's HospitalMcMaster UniversityChildren's Hospital of Eastern OntarioHospital for Sick ChildrenUniversity of British ColumbiaWestern UniversitySickKids FoundationUniversity of Toronto
FundersOntario Brain InstituteCitizens United for Research in Epilepsy
KeywordsMedicineEpilepsyPediatricsEtiologyPediatric epilepsyCause of deathRetrospective cohort studyDemographicsSurgeryPsychiatryInternal medicineDemographyDisease

Abstract

fetched live from OpenAlex

OBJECTIVE: This study was undertaken to understand the circumstances surrounding pediatric sudden unexpected death in epilepsy (SUDEP) and identify clinical factors that may be associated with SUDEP in childhood. METHODS: A retrospective case series was conducted. Pediatric SUDEP cases were collected across Canada from the Ontario Forensic Pathology Service, Canadian Pediatric Surveillance Program, and Canadian Pediatric Epilepsy Network. Demographics, epilepsy history, comorbidities, and circumstances surrounding death were analyzed. RESULTS: Forty-nine children with pediatric SUDEP were analyzed; 25 (51%) were females, and the median age at death was 8 years. Six children (12%) were <2 years of age at the time of death. Information on seizure types 6 months before death was known in 35 children. Twenty-two had tonic-clonic seizures within the last 6 months prior to death (63%). Seven children (18%) had no tonic-clonic seizures in their lifetime. Two thirds of children were treated with ≥2 antiseizure medications. Genetic etiologies were most common (55%). Data on global developmental delay (GDD) was known in 46 children; 12 children (26%) had no impairment, and 34 were globally delayed (74%). Children with GDD had earlier age at seizure onset (p < .001); however, epilepsy duration was similar to those without GDD (p = .170). Similar to adult cohorts, death was often unwitnessed (n = 41/46, 89%). Information on recent infection before death was known in 37 children. Seventeen children (46%) had a recent infection. SIGNIFICANCE: Our study represents the largest pediatric SUDEP case series to date. SUDEP occurred in children of all ages, including infants, with a spectrum of epilepsies with and without neurodevelopmental impairment. The circumstances around death (i.e., timing of death, witnessed/unwitnessed) were similar to previous SUDEP cohorts. A recent infection was often observed, which could decrease seizure threshold and trigger a terminal seizure and may suggest that times of increased seizure risk could warrant heightened surveillance for SUDEP. However, further research is needed to determine the significance of this finding.

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)0.003
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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.022
GPT teacher head0.327
Teacher spread0.305 · 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

Citations11
Published2025
Admission routes3
Has abstractyes

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