Targeted neonatal echocardiography for patent ductus arteriosus in neonates reduces the surgical ligation rate without affecting healthcare outcomes
Bibliographic record
Abstract
Background: Surgical ligation of patent ductus arteriosus (PDA) can be associated with long-term morbidity and adverse outcomes in neonates. Targeted neonatal echocardiography (TNE) has been increasingly used to improve the hemodynamic management. We aimed to evaluate the preoperative assessment impacts of the hemodynamic significance of PDA using TNE on PDA ligation rates and neonatal outcomes. Methods: This observational study included preterm infants who underwent PDA ligation during two epochs (Epoch I: January 2013 to December 2014; Epoch II: January 2015 to June 2016). During Epoch II, a comprehensive TNE assessment was performed preoperatively to evaluate the hemodynamic significance of PDA. Primary outcome was the incidence of PDA ligation. Secondary outcomes included the incidence of postoperative cardiorespiratory instabilities, individual morbidities, and the composite outcome of death. Results: A total of 69 neonates underwent PDA ligation. No difference in baseline demographics was found between the epochs. The incidence of PDA ligation in very low birth weight (VLBW) infants was lower during Epoch II than Epoch I [7.5% vs. 14.6%, rate ratio =0.51 (95% confidence interval =0.30–0.88)]. No differences were observed between epochs in the proportion of VLBW infants who developed post-operative hypotension or oxygenation failure. The composite outcome of death or major morbidity did not significantly differ between Epoch I and Epoch II (91.1% vs. 94.1%, P=1.000). Conclusions: Incorporating TNE into a standardized hemodynamic assessment program, we demonstrated a 49% reduction in PDA ligation rate without any increase in postoperative cardiopulmonary instability or short-term neonatal morbidities in a cohort of VLBW infants.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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 teacher head, 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".