Blood Pressure during the Immediate Neonatal Transition: Is the Mean Arterial Blood Pressure Relevant for the Cerebral Regional Oxygenation?
Bibliographic record
Abstract
BACKGROUND: Measurement of mean arterial blood pressure (MABP) is feasible during neonatal transition. OBJECTIVE: The objective of this study was to investigate a potential influence of MABP on the cerebral regional oxygen saturation (crSO2) in preterm and term infants during the immediate neonatal transition. MATERIALS AND METHODS: Preterm and term infants were included in this observational study. The crSO2 was measured by near-infrared spectroscopy with the INVOS 5100C (Somanetics Corp., Troy, MI, USA) during the immediate neonatal transition (15 min after birth). The near-infrared spectroscopy sensor was applied to the left forehead. Furthermore, a pulse oximeter was applied to monitor arterial oxygen saturation (SpO2) and heart rate (HR). Fifteen minutes after birth, blood pressure was measured noninvasively at the left upper arm. Cerebral fraction tissue oxygen extraction (cFTOE) was calculated from SpO2 and crSO2. To investigate a potential association between crSO2/cFTOE and MABP, we performed a correlation analysis. RESULTS: A total of 462 preterm and term infants (186/292) were included. Mean gestational age was 31.0 ± 3.5 weeks for preterm infants and 38.9 ± 0.8 weeks for full term infants. Mean birth weight was 1.591 ± 630 g in preterm infants and 3.331 ± 461 g in term infants. There was a significant negative correlation between MABP and cFTOE (ρ = -0.19, p = 0.03) in preterm infants but not in term infants (ρ = 0.05, p = 0.39). There was no significant correlation between MABP and crSO2 in either group. CONCLUSION: MABP has an impact on cerebral oxygenation in preterm infants. Therefore, blood pressure monitoring during the immediate neonatal transition might be relevant for improving cerebral oxygenation especially in preterm infants.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".