Abstract 12980: Left Ventricular Alterations in Neonatal Encephalopathy - A Case-Control Study Using 3D Echocardiography
Bibliographic record
Abstract
Introduction: Despite therapeutic hypothermia (TH), neonates with neonatal encephalopathy (NE) often present with multi-organ dysfunction, including cardiac alterations in the first days of life. Objectives: Describe the cardiac performance of neonates with moderate to severe NE treated with TH using three-dimensional echocardiography (3D-ECHO) relative to a control population without NE. Methods: Single-centre prospective case-control study of neonates with moderate to severe NE treated with TH between 2019 and 2021, compared to healthy neonates. The control group were newborns recruited in the nursery without need for resuscitation. 3D-ECHO was performed on day of life (DOL) 2. Left ventricular (LV) metrics were measured using 3D-Speckle Tracking Echocardiography. Descriptive statistics were used to compare the two groups. Results: We included 16 neonates with NE and 50 controls. Birthweight and gestational age at birth were similar (Table 1). Neonates with NE had lower systolic blood pressure (BP) but similar diastolic BP at ECHO, while 11/16 were exposed to cardiovascular medications at ECHO. These neonates had lower LV end-diastolic volume (4.2 [1.2] vs 5.0 [1.4] mL; p=0.04), lower stroke volume (2.2 [0.7] vs 2.9 [0.8] mL; p=0.002) and lower ejection fraction (52 [6] vs 56 [8] %; p=0.0008). These infants also had lower peak global circumferential strain (-25 [5] vs -28 [5] %; p=0.03). The association between NE and LV-ejection fraction remained significant after adjusting for weight (b=-5.7%, 95% Confidence Interval [-9.2; -2.2], p=0.002). Conclusions: Neonates with moderate to severe NE had reduced LV functional markers on DOL 2 as comparted to healthy controls. They had decreased systolic BP and LV end diastolic volume. These findings may be secondary to the asphyxia, catecholamines and medications exposure, or to TH. Future studies should consider 3D-ECHO as a modality to investigate these patients and the impact of therapeutic interventions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".