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Record W1762744290 · doi:10.1111/jce.12030

Ventricular Fibrillation Induced by Spontaneous Hypothermia in a Patient with Early Repolarization Syndrome

2012· article· en· W1762744290 on OpenAlexaff
NICHOLAS J. FEDERMAN, Alexis Mechulan, George J. Klein, Andrew D. Krahn

Bibliographic record

VenueJournal of Cardiovascular Electrophysiology · 2012
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsUniversity of British ColumbiaWestern University
Fundersnot available
KeywordsMedicineHypothermiaVentricular fibrillationContext (archaeology)CardiologyInternal medicineBrugada syndromeBenign early repolarizationRepolarizationAnesthesiaJ waveMyocardial infarctionElectrophysiologyST segment

Abstract

fetched live from OpenAlex

INTRODUCTION: The early repolarization (ER) pattern on ECG was originally described in the context of hypothermia. CASE SUMMARY: We present the case of a 34-year-old male with cardiac arrest in the context of spontaneous hypothalamic mediated thermal dysregulation after intracranial hemorrhage. Ventricular fibrillation with a marked ER pattern recurred with therapeutic hypothermia. Spontaneous hypothermia due to hypothalamic dysregulation was observed to enhance the amplitude of the ER pattern and was contemporaneous with recurrent ventricular fibrillation during follow-up. CONCLUSIONS: Hypothermia is an important trigger of VF in the setting of early repolarization syndrome, and warrants assessment as an environmental trigger of spontaneous events.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.880
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.197
Teacher spread0.193 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations36
Published2012
Admission routes1
Has abstractyes

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