Infants less than or equal to 2.5 kg have increased mortality and worse motor neurodevelopmental outcomes at 2 years of age after Norwood–Sano palliation
Bibliographic record
Abstract
Objectives In infants with single-ventricle congenital heart disease, prematurity and low weight at the time of the Norwood operation are risk factors for mortality. Reports assessing outcomes (including neurodevelopment) post Norwood palliation in infants ≤2.5 kg are limited. Methods All infants who underwent a Norwood–Sano procedure between 2004 and 2019 were identified. Infants ≤2.5 kg at the time of the operation (cases) were matched 3:1 with infants >3.0 kg (comparisons) for year of surgery and cardiac diagnosis. Demographic and perioperative characteristics, survival, and functional and neurodevelopmental outcomes were compared. Results Twenty-seven cases (mean ± standard deviation: weight 2.2 ± 0.3 kg and age 15.6 ± 14.1 days at surgery) and 81 comparisons (3.5 ± 0.4 kg and age 10.9 ± 7.9 days at surgery) were identified. Post-Norwood, cases had a longer time to lactate ≤2 mmol/L (33.1 ± 27.5 vs 17.9 ± 12.2 hours, P < .001), longer duration of ventilation (30.5 ± 24.5 vs 18.6 ± 17.5 days, P = .005), greater need for dialysis (48.1% vs 19.8%, P = .007), and greater need for extracorporeal membrane oxygenation support (29.6% vs 12.3%, P = .004). Cases had significantly greater postoperative (in-hospital) (25.9% vs 1.2%, P < .001) and 2-year (59.2% vs 11.1%, P < .001) mortality. Neurodevelopmental assessment showed the following for cases versus comparisons, respectively: cognitive delay (18.2% vs 7.9%, P = .272), language delay (18.2% vs 11.1%, P = .505), and motor delay (27.3% vs 14.3%, P = .013). Conclusions Infants ≤2.5 kg at Norwood–Sano palliation have significantly increased postoperative morbidity and mortality up to 2-year follow-up. Neurodevelopmental motor outcomes were worse in these infants. Additional studies are warranted to assess the outcome of alternative medical and interventional treatment plans in this patient population.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".