Cerebral Near-Infrared Spectroscopy during Transition of Healthy Term Newborns
Bibliographic record
Abstract
BACKGROUND: Values of regional cerebral tissue oxygen saturation (cStO2) have been described during transition of term and preterm infants after birth. However, use of different devices precludes comparison of measurements. OBJECTIVE: To measure cStO2 during transition of term infants using a calibrated 4-wavelength laser light source near-infrared spectroscopy oximeter (FORE-SIGHT) to obtain data that allow comparison with cStO2 of very-low-birth-weight (VLBW) infants using this oximeter and with cStO2 of term infants using different oximeters. METHODS: cStO2 (FORE-SIGHT oximeter), preductal arterial oxygen saturation and heart rate were measured in 46 healthy term infants (n = 20 spontaneous delivery, n = 22 caesarean section, n = 4 assisted vaginal delivery) during the first 10 min after delivery. RESULTS: The median (interquartile range) cStO2 at 2 min after birth was 42% (39-46) after spontaneous delivery, 42% (30-52) after caesarean section and 36% (20-53) after assisted vaginal delivery (no difference between groups). In association with increasing arterial oxygen saturation and heart rate, cStO2 increased continuously and reached a steady state approximately 8 min after birth of 62-77% (interquartile range) in all three groups. CONCLUSIONS: Healthy term newborns had similar cStO2 changes from 2 min after birth regardless of the mode of delivery. cStO2 of healthy term infants was lower than cStO2 of VLBW infants during transition. cStO2 values as measured by the FORE-SIGHT oximeter seem in the range of values as measured by the NIRO 300 oximeter. They were lower than values as measured by the INVOS 5100 oximeter.
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 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 | 0.001 |
| 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".