Abstract 15672: Cerebral and Renal Saturation Trendings in Neonates With Congenital Heart Disease in the Pre-Intervention Period: A Prospective Study
Bibliographic record
Abstract
Introduction: Limited data exists on the trends of cerebral (CSat) and renal (RSat) saturations measured by near infrared spectroscopy (NIRS) of neonates with a congenital heart defect (CHD) during the first days of life in the pre-interventional setting. Hypothesis: We hypothesized that retrograde aortic flow in aorta as an indicator of diastolic steal would be associated with adverse CSat/Rsat profiles. Methods: We conducted a single-center prospective study recruiting newborns with CHD. CSat/ RSat were monitored until day 7 and averaged every hour. Daily echocardiograms were performed. Presence/ absence of holodiastolic retrograde flow in post-ductal aorta was assessed by an expert blinded to NIRS measurements and clinical status. Random mixed effect models were constructed to evaluate the association between NIRS trends and retrograde flow. Results: We included 49 newborns, of which 27 (55%) had retrograde flow. CSat remained stable throughout the monitoring period in the non-retrograde group, while it progressively declined in those with retrograde flow. An association was found between retrograde flow and negative trends CSat (β= -9.1%, 95%CI [-14.3 — -3.8]) and RSat (β= -8.4%, 95%CI [-14.5— -2.3]). Conclusions: In infants with CHD, retrograde flow in the descending aorta was associated with a CSat/RSat decline within the first week of life. Future studies should evaluate whether normalization of these parameters decreases the burden of neurological injury.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".