Achievement of saturation targets in preterm infants <32 weeks’ gestational age in the delivery room
Bibliographic record
Abstract
Background To reduce the risks of hypoxia and hyperoxia in preterm infants in the delivery room; national and international guidelines recommend titrating supplemental oxygen delivery to achieve specific oxygen saturation (SpO2) targets. Our aim was to measure the proportion of time infants <32 weeks' gestation spent within and outside prescribed SpO2 targets during the first 10 min after birth. Method Prospective observational study using data from a preductal SpO2 sensor and oxygen analyser measuring fraction of inspired oxygen (FiO2) in the inspiratory limb of the respiratory circuit. Measurements of SpO2, heart rate and FiO2 were recorded every 2 s. We assessed compliance with the upper SpO2 limit only when infants were receiving supplemental oxygen. SpO2 measurements were recorded as being below, within or above the target at each time point. We measured the number of times infants were continuously below or above the target range for more than 30 s. Results Twenty-seven infants; mean (SD) 28 (3.4) weeks and 962 (370) g were studied. Infants were below, within and above the prescribed targets for 28%, 35% and 37% of the first 10 min after birth, respectively. Conclusions Preterm infants spent almost two-thirds of the first 10 min after birth with oxygen saturations outside prescribed target ranges. New titration strategies are required to reduce the risks of hypoxia and hyperoxia.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".