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High-flow Nasal Oxygen Versus Standard Flow Facemask Preoxygenation in Pregnant Patients: A Randomized Physiological Study

2020· article· en· W3007587796 on OpenAlexaff
W. Shippam, Roanne Preston, J. Douglas, J. Taylor, Arianne Albert, Anthony Chau

Bibliographic record

VenueObstetric Anesthesia Digest · 2020
Typearticle
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsB.C. Women's Hospital & Health CentreWomen's Health Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsMedicineAnesthesiaIntubationOxygenationRapid sequence inductionTidal volumeRespiratory systemInternal medicine

Abstract

fetched live from OpenAlex

( Anaesthesia . 2019;75:450–456) While preoxygenation is an important component of safe general anesthesia, it is often suboptimal for obstetric patients. This is due to several factors including air entrainment even with a tight-fitting mask, the need for rapid delivery of the fetus in many situations, and human factor issues. For obstetric patients, an end-tidal oxygen concentration (EtO 2 ) ≥90% is recommended before initiating rapid sequence induction and tracheal intubation. The standard practice for preoxygenation in this population is usually either 3 minutes of tidal volume breathing or 8 vital capacity breaths with facemask administration of 100% oxygen at 15 L/min. Growing in popularity for nonobstetric patients, including children, is high-flow nasal oxygen (HFNO) to increase the time to desaturation during induction of general anesthesia; however, literature on HFNO for obstetric patients is sparse. This study aimed to determine whether preoxygenation with HFNO (30 to 70 L/min oxygen flow) via nasal prongs is as effective as the recommended preoxygenation using standard 15 L/min oxygen administered via a tight-fitting facemask in obstetric patients.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.256
Teacher spread0.232 · 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 designRandomized trial
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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