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Record W3092882623 · doi:10.1055/s-0040-1718738

Noninvasive High-Frequency Oscillatory Ventilation: A Retrospective Chart Review

2020· article· en· W3092882623 on OpenAlexaff
Yaser A.H. Ali, Mary Seshia, Ebtihal Ali, Ruben Alvaro

Bibliographic record

VenueAmerican Journal of Perinatology · 2020
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineGestational ageAnesthesiaVentilation (architecture)Neonatal intensive care unitRetrospective cohort studyHigh-frequency ventilationMechanical ventilationRandomized controlled trialPediatricsSurgeryPregnancy

Abstract

fetched live from OpenAlex

Objective This study aimed to review the feasibility of nasal high-frequency oscillatory ventilation (NHFOV) in preventing reintubation in preterm infants. Study Design This is a retrospective cohort study of all premature newborn infants placed on NHFOV in a single-center neonatal intensive care unit. Results Twenty-seven patients (birth weight: 765 ± 186 g, gestational age: 28 ± 2 weeks) were commenced on NHFOV on 32 occasions. NHFOV was used immediately postextubation as the primary mode of noninvasive ventilation (NIV; prophylaxis) in 10 of 32 occasions and as “rescue” (failure of NCPAP or biphasic CPAP) in 22 of 32 occasions. Treatment with NHFOV was successful in 22 occasions (69%) while on 10 occasions (31%) reintubation was required within 72 hours. In the rescue group, there was significant reduction in the mean (standard deviation [SD]) number of apneas (0.9 ± 1.07 vs. 0.3 ± 0.29, p < 0.005), but there were no significant changes in the PCO2 level (52 [ ± 9.8] vs. 52 [ ± 8.6] mm Hg, p = 0.8), or the FiO2 requirement (0.39 ± 0.19 vs. 0.33 ± 0.10, p = 0.055) before and after commencing NHFOV, respectively. Conclusion The use of NHFOV is feasible as a prophylactic or rescue mode of NIV following extubation and was associated with decrease in the number of apneas without significant changes in PCO2 or oxygen requirements. A well-designed randomized control trial is needed to determine the indications, clinical outcomes, and safety of this treatment modality. Key Points

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.850
Threshold uncertainty score0.799

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
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 head0.032
GPT teacher head0.353
Teacher spread0.321 · 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 designNot applicable
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

Citations14
Published2020
Admission routes1
Has abstractyes

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