Reference Ranges for Cerebral Tissue Oxygen Saturation Index in Term Neonates during Immediate Neonatal Transition after Birth
Bibliographic record
Abstract
BACKGROUND: Non-invasive monitoring of the brain with near-infrared spectroscopy (NIRS) during immediate transition after birth is of growing interest. OBJECTIVE: The aim of this work was to define reference ranges and centile charts for a regional cerebral tissue oxygenation index (cTOI), measured with the NIRO 200NX (NIRO, Hamamatsu, Japan), and cerebral fractional tissue oxygen extraction (cFTOE) during the first 15 min after birth in preterm and term neonates without any medical support. METHODS: cTOI was measured with the NIRO 200NX during the first 15 min after delivery via Caesarean section in preterm and term infants. The NIRS-sensor was placed on the right forehead. Peripheral arterial oxygen saturation (SpO2) and heart rate were continuously measured by pulse oximetry. cFTOE was calculated out of cTOI and SpO2. Neonates with a requirement for any medical support were excluded. RESULTS: A total of 230 neonates were enrolled, from which 90 had to be excluded. Therefore, 140 term neonates were included and data were used to define reference ranges and centile charts. The 50th centile (10th to 90th centiles) of cTOI was 56% (39-75) at 2 min, 66% (50-78) at 5 min, 75% (62-85) at 10 min and 73% (61-84) at 15 min after birth. The 50th centile of cFTOE was 0.24 (0.11-0.44) at 2 min, 0.20 (0.10-0.35) at 5 min, 0.21 (0.09-0.35) at 10 min and 0.24 (0.13-0.37) at 15 min after birth. CONCLUSION: The present observational study adds the reference ranges and centile charts of cTOI measured with the NIRO 200NX and cFTOE calculated out of cTOI and SpO2 in neonates during the immediate neonatal transition. Centiles for each instrument will be necessary for future clinical application, since the differences between cTOI and cerebral regional tissue oxygen saturation measured with INVOS 5100C change with increasing regional oxygenation.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".