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Heart rate changes during positive pressure ventilation after asphyxia-induced bradycardia in a porcine model of neonatal resuscitation

2018· article· en· W2803521316 on OpenAlexafffund
Maria Liza Espinoza, Po‐Yin Cheung, Tze-Fun Lee, Megan O’Reilly, Georg M. Schmölzer

Bibliographic record

VenueArchives of Disease in Childhood Fetal & Neonatal · 2018
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsRoyal Alexandra HospitalUniversity of AlbertaUniversity of Calgary
FundersUniversity of AlbertaHeart and Stroke Foundation of Canada
KeywordsAsphyxiaBradycardiaMedicineAnesthesiaHeart rateResuscitationVentilation (architecture)Neonatal resuscitationCardiopulmonary resuscitationMean arterial pressureMechanical ventilationBlood pressureInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The Neonatal Resuscitation Program (NRP) states that if adequate positive pressure ventilation (PPV) was given for a low heart rate (HR), the infant's HR should increase within the first 15 s of PPV. OBJECTIVE: To assess changes in HR in piglets with asphyxia-induced bradycardia. METHODS: 25% of baseline). This was followed by 30 s adequate PPV and chest compression thereafter. Changes in HR during the 30 s of PPV were assessed and divided into four epochs (0-10 s, 5-15 s, 10-20 s and 20-30 s, respectively). RESULTS: Increase in HR >100/min was observed in 6/30 (20%) after 30 s of PPV. Within the epochs 0-10 s, 5-15 s or 10-20 s no piglet had an increase in HR >100/min. Additional 10/30 (33%) had a >10% increase in HR. CONCLUSION: In contrast to NRP recommendation, adequate PPV does not increase HR within 15 s after ventilation in piglets with asphyxia-induced bradycardia.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.016
GPT teacher head0.301
Teacher spread0.285 · 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 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

Citations17
Published2018
Admission routes2
Has abstractyes

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