Left Ventricular to Right Atrial Shunt in a Preterm Infant: A Case Report
Bibliographic record
Abstract
Background and Clinical Significance: Premature infants are at high risk of life-threatening complications due to the immaturity of multiple organ systems, and close monitoring in neonatal intensive care units is indispensable for their stabilization, survival, and morbidities. Despite major advances in perinatal care, cardiovascular pathology remains one of the most frequent morbidities in this population. Targeted neonatal echocardiography is implemented in many neonatal intensive care units around the world; it provides earlier and precise assessment during hemodynamic instability, allowing targeted management and follow-up. It can also detect red flags for anatomical heart defects. Left ventricular to right atrial shunt is a rare and presents a challenging diagnostic entity in very premature neonates. Case Presentation: We present a case of left ventricular to right atrial shunt in a preterm baby that was diagnosed by the Targeted neonatal echocardiography team. Conclusions: The purpose of this case report is to illustrate how targeted neonatal echocardiography enabled the identification of this rare diagnosis in a premature infant, which underscores its growing utility and value in neonatal care.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".