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Severe seizures associated with traumatic brain injury managed by controlled hypothermia, pharmacologic coma, and mechanical ventilation in a dog

2009· article· en· W1576669933 on OpenAlexaff
Galina M. Hayes

Bibliographic record

VenueJournal of Veterinary Emergency and Critical Care · 2009
Typearticle
Languageen
FieldMedicine
TopicThermal Regulation in Medicine
Canadian institutionsAlberta Bible College
Fundersnot available
KeywordsMedicineAnesthesiaGlasgow Coma ScaleHypothermiaTraumatic brain injuryMechanical ventilationHypoventilationComa (optics)IntubationIntensive care medicineRespiratory systemInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe the management and outcome of a dog presenting with intractable seizures associated with traumatic brain injury. CASE SUMMARY: A spayed female Wheaten Terrier was presented to an emergency clinic with neurologic deficits (modified Glasgow coma scale of 10) shortly after a road traffic accident. Seizures were uncontrolled despite aggressive pharmacologic intervention. Controlled hypothermia to achieve a rectal temperature of 33-35 degrees C (91.4-95 degrees F) was initiated as a protective measure to reduce intracranial pressure and cerebral metabolic rate, and to assist with seizure control. Intubation and mechanical ventilation were required to protect the airway and manage hypercapnia associated with hypoventilation. The patient went on to make a full recovery, although behavioral changes were noted by the owners for an 8-week period following injury. NEW OR UNIQUE INFORMATION PROVIDED: To the author's knowledge, this is the first instance of therapeutic hypothermia reported in the veterinary literature. A short review of this treatment modality is provided.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0020.001
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 head0.031
GPT teacher head0.361
Teacher spread0.330 · 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 designCase report
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

Citations38
Published2009
Admission routes1
Has abstractyes

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