The Need for Preoperative Prostaglandin E1 for d-Transposition After Balloon Atrial Septostomy
Bibliographic record
Abstract
Background The necessity of prostaglandin E1 (PGE) usage before arterial switch operation (ASO) in infants with d-transposition of the great arteries (dTGA) after balloon atrial septostomy (BAS) remains controversial. Methods This study is a single-centre, retrospective review of infants with dTGA who underwent ASO from January 2014 to December 2021. Parameters analysed included post-BAS oxygen saturation, time from BAS to PGE discontinuation, necessity of reinitiation, interval before PGE restart, and lowest saturation before PGE reintroduction. Results Among the 35 cases of dTGA who underwent ASO, 31 (88%) required BAS, with 23 (65%) requiring PGE infusion. Of those 23 infants, 14 (60%) necessitated PGE reinitiation after discontinuation. A significant difference in post-BAS oxygen saturation was observed between the groups requiring PGE reinitiation (79.2% ± 4.7%) and those not needing reinitiation (89.0% ± 2.0%) ( P < 0.001). The relative risk for the reinitiation group with BAS oxygen saturation levels ≤80% was 2.5 (95% confidence interval: 1.3-4.6). No disparity was observed in postoperative outcomes or PGE adverse effects such as fever, apnoea, bradycardia, and congestive heart failure requiring diuretic between the groups. Conclusions Given no significant differences in PGE adverse effects and a 2.5 times higher risk of reinitiation with post-BAS saturation below 80%, maintaining PGE until saturation reaches 80% for a few days before discontinuation may help reduce the risk of rebound hypoxaemia.
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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 | 0.004 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".