Left ventricular dysfunction in the immediate post-natal period
Bibliographic record
Abstract
Background: Our objective was to examine the clinical presentation, echocardiographic findings, and outcomes of newborns presenting with left ventricle (LV) dysfunction in the first 48 hours of life without perinatal asphyxia or structural heart disease. We hypothesize that LV dysfunction may occur due to maladaptation to extrauterine life. Methods: This is a retrospective cohort analysis including infants born in a quaternary perinatal centre. Late preterm and term neonates who were diagnosed with left ventricular dysfunction at less than 48 hours of life were identified using an echocardiography clinical laboratory's database and extracorporeal life support database. LV dysfunction was defined as m-mode fractional shortening (FS) <28% or ejection fraction (EF) <50% on echocardiography or reduced function reported by a cardiologist. Data extracted included patient & maternal demographics, echocardiogram parameters, clinical status, and medications. The primary outcome measure was time to recovery of LV function based on echocardiography. Results: Of the 69 patients identified, 19 patients were included in the final analysis. The mean gestational age was 38 weeks. Thirteen (68%) infants did not have an underlying cause identified despite extensive work-up. Four (21%) infants had exposure to maternal illicit drug use during pregnancy. Three infants died, and all infants without identifiable etiologies had recovery of LV function within 14 days of life. Conclusions: LV dysfunction can occur during the abrupt transition from fetal to neonatal circulation and can be associated with maternal illicit drug use.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".