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Record W2947788628 · doi:10.1093/pch/pxz066.148

149 Does discharging infants home on caffeine affect the pattern of oxygen saturation?

2019· article· en· W2947788628 on OpenAlexaboutno aff
Veronica Samedi, Martha Báez, Carlos Fajardo, Harish Amin, Jack Rabi, Alberto Nettel‐Aguirre, Nilufer Hasanova, Laura Rojas, Daniel Carrillo, Diego Carrillo, Juan C Fajardo, Fuad Samedi, Priscilla Tatrallyay, Lana Luba

Bibliographic record

VenuePaediatrics & Child Health · 2019
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnesthesiaGestational ageOxygen saturationApnea of prematurityPediatricsPregnancyOxygenBiology

Abstract

fetched live from OpenAlex

Apnea of prematurity (AOP) is common in preterm infants, and caffeine is the medication of choice. Caffeine increases minute ventilation, improves CO2 sensitivity and respiratory drive, as well as diaphragmatic contraction and respiratory muscle function. In VLBW infants caffeine given til 36 weeks corrected gestational age (CGA) improved survival without neurodevelopmental disability, and reduced need for positive airway pressure by 1 week and the rate of BPD. Discontinuation (d/c) of caffeine in hospital is not preventing infants from having episodes of intermittent hypoxia. Discharging home on caffeine could be an alternative to prolonged hospitalization. There are no studies evaluating the frequency of hypoxic episodes (HE) and SatO2 variability in infants from late prematurity to term, and in Calgary it is common to send infants with positive response home on caffeine. To describe the pattern of SatO2 before, during and after d/c caffeine in babies with AOP and, describe the pattern of SatO2 in babies with similar GA without AOP and to compare this to the SatO2 pattern of babies with AOP. We performed a cohort study in three groups of infants: Caffeine: Infants < 36 weeks of CGA, clinically ready for discharge, except for AOP. Control: Infants of similar GA without AOP at the time of discharge and Reference: healthy infants born > 35 weeks of GA and discharged home from postpartum.Descriptive analyses on mean SatO2, episodes of desaturation and duration (Mean, SD) were done. HE were periods >15 seconds of SatO2 <95%, 90% and 85%. To compare the mean levels of SatO2 over time linear mixed effects model with fixed effects for time and group, and random effect for subject was performed. A subanalysis of the caffeine group evaluating effect of d/c caffeine was done via a paired T test between weeks 43 and 45. 1426 recordings for 135 infants were analyzed. The model showed an effect of time .15 and differences between groups 2 and 3 to reference group, 1.72(95% CI(1.06, 2.39)) and 1.52(95% CI(0.94, 2.10)), yet no difference between groups 2 and 3. The average mean SpO2 was highest in the caffeine group. The paired T-test on the 9 subjects that had data in both weeks was not significant (p=0.18). The highest rate of HE was noted in groups 1 and 3 at 36 -38 weeks of CGA (p=0.11). The pattern of SatO2 before, during and after d/c of caffeine was not significantly different in infants discharged home on caffeine compare to the healthy infants of the similar age. Discharging home ex-preterm infants on caffeine does not increase risk of having hypoxic episodes.

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: Observational · Consensus signal: Observational
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)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.333
Teacher spread0.316 · 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 designObservational
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

Citations1
Published2019
Admission routes1
Has abstractyes

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