Aortic Root Dilatation and Aortic-Related Complications in Children After Tetralogy of Fallot Repair
Bibliographic record
Abstract
BACKGROUND: The study objective was to assess the severity, progression rate, and risk factors for aortic root dilatation (ARD) in pediatric tetralogy of Fallot (TOF) and to study its relationship to complications including aortic regurgitation. METHODS AND RESULTS: Seven hundred sixty-eight TOF patients were studied with echocardiography (median age at repair 6.1 months; interquartile range, 4.5-11.3 months) and compared with 304 controls. Five hundred ninety-two (77%) had usual TOF, 41 (5.3%) TOF-type double outlet right ventricle, and 135 (17.6%) TOF with pulmonary atresia. Median follow-up was 3.7 years (interquartile range, 0.5-6.9 years, total follow-up 3002 patients-years). Aortic root dimensions were enlarged at TOF diagnosis and during follow-up. Mean aortic valve annulus Z score at first postoperative echo was 3.3±2.7, associated with TOF type (TOF 1 Z score unit per year) was observed in <1% of patients. Of the 768 patients, only 3 (0.39%) developed moderate/severe aortic regurgitation and 2 required aortic surgery for subvalvar aortic stenosis and aortic dissection, respectively. CONCLUSIONS: ARD is common before and after TOF repair, but our data suggest that aortic root dimensions remain stable in the majority of pediatric TOF patients. Progressive ARD and aortic-related complications are distinctly uncommon during childhood.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".