Perioperative anaesthetic management and short-term outcome of neonatal repair of oesophageal atresia with or without tracheo-oesophageal fistula in Europe
Bibliographic record
Abstract
BACKGROUND: Oesophageal atresia with or without a tracheo-oesophageal fistula is a congenital abnormality that usually requires surgical repair within the first days of life. OBJECTIVE: Description of the perioperative anaesthetic management and outcomes of neonates undergoing surgery for oesophageal atresia with or without a tracheo-oesophageal fistula, included in the 'neonate and children audit of anaesthesia practice in Europe' (NECTARINE) database. DESIGN: Sub-analyses of prospective observational NECTARINE study. SETTING: European multicentre study. PATIENTS: Neonates who underwent surgery for oesophageal atresia with or without a tracheo-oesophageal fistula in the NECTARINE cohort were selected. MAIN OUTCOME MEASURES: Incidence rates with 95% confidence intervals were calculated for peri-operative clinical events which required a predetermined intervention, postoperative complications, and mortality. RESULTS: One hundred and three neonates undergoing a first surgical intervention for oesophageal atresia with or without a tracheo-oesophageal fistula repair were identified. Their median gestational age was 38 weeks with a median birth weight of 2840 [interquartile range 2150 to 3150] grams. Invasive monitoring was used in 66% of the procedures. The incidence of perioperative clinical events was 69% (95% confidence interval 59 to 77%), of 30-day postoperative complications 47% (95% confidence interval 38 to 57%) and the 30- and 90 days mortality rates were 2.1% and 2.6%, respectively. CONCLUSION: Oesophageal atresia with or without a tracheo-oesophageal fistula repair in neonates is associated with a high number of perioperative interventions in response to clinical events, a high incidence of postoperative complications, and a substantial mortality rate.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".