CEREBRAL OXYGENATION AND PERIPHERAL OXIMETRY IN EXTREMELY PRETERM INFANTS WITH PULMONARY AND/OR CEREBRAL INTRAVENTRICULAR HEMORRHAGE IN THE FIRST 72 HOURS OF LIFE
Bibliographic record
Abstract
Abstract BACKGROUND Extremely premature infants born <28 weeks of gestation are at higher risk of pulmonary (PH) and cerebral intraventricular (IVH) hemorrhage due to immature cardiovascular and transitioning physiology. Non-invasive monitoring has the potential to detect early abnormal circulation. OBJECTIVES To explore time-frequency relationships between cerebral oxygenation and peripheral oximetry. DESIGN/METHODS Near infrared spectroscopy cerebral regional haemoglobin oxygen saturation (CrSO2), preductal peripheral perfusion index (PI), heart rate (HR), capillary oxygen saturation (SpO2), and blood pressure (BP) were monitored in the first 72h of life. Patients were grouped in infants with PH and/or IVH (n=8) and controls (n=10). Signals were decomposed in wavelets allowing the analysis of localized variations of power. This approach allowed to quantify the common power and determine the duration of significant cross-correlation, phase and coherence between each pair of signals. Groups were compared with Wilcoxon tests. RESULTS Figure 1 shows an example of CrSO2 and PI, and their cross-correlation, phase (semblance) and coherence in a control (left column) and a PH-IVH patient (right column). Durations of significant cross-correlation between CrSO2 and HR (p<0.01), and CrSO2 and SpO2 (p=0.02) were significantly lower in PH-IVH infants compared to controls. The duration of significant anti-phase between CrSO2 and SpO2 (p=0.01) and the duration of significant coherence between PI and BP (p=0.03) were also significantly lower in PH-IVH infants compared to controls. These differences may indicate a disruption in auto-regulation, which is currently incompletely understood in this population. CONCLUSION This study is the first to apply time-frequency analysis to simultaneous NIRS and preductal peripheral oximetry in extremely preterm infants early in life. Significantly lower durations of cross-correlation (CrSO2 with HR and SpO2), anti-phase (CrSO2, SpO2) and coherence (PI, BP) in PH-IVH patients may reflect early abnormal circulation. Our results show the potential of non-invasive monitoring to identify premature infants at-risk of early PH-IVH.
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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 | 0.001 |
| 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".