Oxygen Saturation in Healthy Term Infants in The First Few Days of Life
Bibliographic record
Abstract
Abstract Objectives: Describe oxygen saturation (SpO2) values and their variability in the newborn period for healthy term infants at moderate altitude. Methods: Prospective observational study in postnatal wards with follow-up in the Public Health Nurse Clinic (PHNC). We recruited healthy term infants (≥37weeks) between 6-24 hours of age. Infants underwent simultaneous pre- (90mins) and post-ductal (10mins) transcutaneous SpO2 recordings every 12-24 hours until hospital discharge. Simultaneous pre- and post-ductal SpO2 measurements (15mins) were performed again in the PHNC within a few days after discharge. Infants were followed for eight weeks to ascertain their health status. Results: We included 252 infants with a complete in-hospital data set. Median age at the time of first SpO2 measurement in the hospital was 16.5 h, and 65.7 h in the PHNC (n=105). In hospital, the mean pre- and post-ductal SpO2 were 94.3% (SD 2.5) and 96.0% (SD 3.0), respectively. In the PHNC, mean pre- and post-ductal SpO2 were 94.4% (SD 2.8) and 95.6% (SD 2.7), respectively. Preductal desaturation episodes to SpO2<95% were more frequent in the PHNC than in the hospital (rate ratio 1.27, P=0.02). The median durations of preductal desaturation episodes were longer in hospital than in the PHNC (range 9 to 20 seconds longer) for all pre ductal SpO2 thresholds examined (P<0.05). Conclusion: SpO2 levels in healthy term newborns are approximately 94% over the first few days after birth at moderate altitude. Desaturation episodes are common in the immediate newborn period, but the duration of desaturation episodes decreases over time.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".