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Record W2103561144 · doi:10.3109/10903127.2010.545480

Submersion and Early-Onset Acute Respiratory Distress Syndrome: A Case Report

2011· article· en· W2103561144 on OpenAlexaff
W. John Diamond, Russell D. MacDonald

Bibliographic record

VenuePrehospital Emergency Care · 2011
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsTransport Canada
Fundersnot available
KeywordsMedicineARDSIntensive care medicineCardiopulmonary resuscitationAcute respiratory distressCrewDefibrillationNear DrowningRespiratory distressAccidentalMedical emergencyEmergency medicineResuscitationPoison controlAnesthesiaInjury preventionLungCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Drowning is a common cause of accidental death, particularly in younger people, and acute respiratory failure is common in these patients. This case report describes a healthy 18-year-old man who suffered a cardiorespiratory arrest due to submersion while swimming in a freshwater lake. First-responder cardiopulmonary resuscitation and defibrillation using an automated external defibrillator resulted in a return of spontaneous circulation. The patient was evacuated to a tertiary care center by a rotor-wing air medical crew. The crew experienced difficulties in oxygenating and ventilating the patient because of early-onset acute respiratory distress syndrome (ARDS). This case report describes the pathophysiology and prehospital management of a patient with suspected early-onset ARDS secondary to drowning. This case report is unique because it describes the oxygenation and ventilation difficulties encountered in managing this patient in the transport setting, and possible strategies to deal with these difficulties. Finally, this case report highlights the prehospital bypass decision-making process for patients requiring specialized medical care.

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)0.004
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.026
GPT teacher head0.304
Teacher spread0.279 · 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

Citations11
Published2011
Admission routes1
Has abstractyes

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