Investigating brain haemodynamics during hypoglycaemia in very preterm neonates using diffuse optical tomography
Bibliographic record
Abstract
Very preterm neonates are more prone to experience hyper and hypo-glycaemia after birth. To date, there is no available evidence on the local brain hemodynamic response to these glycemic changes. This study uses continuous glucose monitoring (CGM) and diffuse optical tomography (DOT) to investigate this issue. Sixty very preterm neonates were recruited and continuously monitored after birth with CGM and DOT for several days. Patients with only mild (Sensor glucose concentration (SGC) ≥ 48 mg/dL & ≤ 72 mg/dL) or severe (SGC ≤ 47 mg/dL) hypoglycaemia (N=17) were then selected for analysis. DOT data were reconstructed in three 10-minute windows throughout each hypoglycemic event: at the beginning of the event, after the minimum of hypoglycemia, and at the end of the event. Correlations and spatial consistencies were found between changes in blood volume and SGC during these time windows, suggesting a coupling between SGC and brain hemodynamics in very preterm newborns after birth.
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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 | 0.000 | 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) | 0.000 | 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".