Abstract 8621: Factors Associated with Superior Cavopulmonary Connection Timing and Outcomes in Infants with Single Ventricle: A Report from the Pediatric Heart Network's Infant Single Ventricle Trial
Bibliographic record
Abstract
Background: Factors that influence the timing of the superior cavopulmonary connection (SCPC) have not been well characterized. Studies identifying outcome predictors following the SCPC are contradictory. This analysis aims to identify factors associated with SCPC timing and surgical outcomes. Methods: The Pediatric Heart Network's Infant Single Ventricle trial database was used to identify participants who underwent SCPC. Age at SCPC, length of stay (LOS) and death by age 14 months were evaluated. Potential associated factors included patient demographics, measures from neonatal hospitalization and pre-SCPC visit, SCPC type, and the number of concurrent cardiac surgical procedures. Age at SCPC was analyzed by Cox proportional hazards regression. Natural log LOS was analyzed by multiple linear regression. Models were determined by stepwise selection methods adjusting for clinical site. Results: SCPC was performed in 193 subjects at a median age of 5.2 (IQR 4.2, 6.2) months and weight of 5.9 (IQR 5.3, 6.6) kg. Median LOS was 7 days (IQR 6, 10). There were 3 early deaths (during hospitalization) and 3 late deaths (between SCPC discharge and final 14 month study visit). Factors independently associated with age at SCPC and log LOS include: Other commonly cited factors including type of SCPC, valve regurgitation, ventricular ejection fraction and ventricular end-diastolic pressure were not independently associated with age at SCPC or log LOS. Conclusions: Significant variation among centers, independent of patient factors, highlights the controversy about optimal timing of SCPC. Earlier timing appears to be associated with case complexity and interim morbidities. Factors associated with LOS may offer insights for improving pre-SCPC care and surgical outcome. The risks and benefits of elective SCPC at younger age require further study.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".