Abstract 18747: Young Infants With Severe Tetralogy of Fallot: Early Primary Surgery versus Trans-catheter Palliation
Bibliographic record
Abstract
Introduction: Infants with severe tetralogy of Fallot (TOF) may undergo: 1) early primary surgical repair (EARLY) or 2) early catheter palliation (CATH) prior to delayed surgical repair. We compared these two strategies to 3) usual elective single stage TOF repair (USUAL). Methods: We studied 453 TOF repairs (2000-2012, excluding BT shunts). USUAL strategy at our institution is repair ≥3 months. Risk adjusted hazard analysis compared freedom from surgical or catheter reintervention. Somatic size, branch PA size and RV systolic pressure were modeled using 2543 echo reports via mixed model regression. Results: Table: group characteristics for USUAL (383), EARLY (42) and CATH (28). CATH involved: RVOT stent=18, RVOT balloon=9, ductal stent=1. Risk adjusted freedom from surgical reoperation was 88%, 87% and 85% for USUAL, EARLY and CATH respectively, at 10 years. EARLY and CATH had similar reoperation rates, except for very young children (<1 month) where EARLY primary repair conferred increased risk of further surgery (Figure). Risk adjusted freedom from catheter reintervention was higher for EARLY (76%) and especially so for CATH (53%) at 10 years, versus USUAL (83%; Figure). Somatic growth and progression of RVSP (37-40mmHg) was similar among groups at 8 years. EARLY (P=.02) and CATH (P=.09) tend to have smaller bPAs initially. The CATH group tend to remain smaller in the long-term, whereas growth in EARLY matches USUAL. Conclusions: Early primary repair at very young ages comes with a cost of increased late surgical reoperation. Early transcatheter palliation tends to come with a cost of increased late transcatheter intervention - possibly related to slower branch PA growth.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.004 | 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".