Stenting of the right ventricular outflow tract in the symptomatic infant with tetralogy of Fallot
Bibliographic record
Abstract
BACKGROUND: Repair of neonatal tetralogy of Fallot (TOF) has low mortality. Debate continues regarding the initial management of cyanotic or duct-dependent infants with TOF and adverse risk factors. While repair can and has been performed in these patients, it is associated with increased morbidity. OBJECTIVE: We review the effectiveness of right ventricular outflow tract (RVOT) stenting in the symptomatic young infant with TOF. METHODS: Clinical, echocardiographic, angiographic and haemodynamic data were reviewed for nine patients who underwent 11 RVOT stenting procedures from October 1994 to August 2007. RESULTS: The pulmonary valve was deemed unsalvageable in all patients (median valve diameter 3.7 mm (range 2.7-4.2), Z-score -6.7 (range -9.7 to -5.4). RVOT stenting improved arterial oxygen saturation from a median of 73% (60-85%) to 94% (90-98%) (p = 0.008). Median Z-score for the left pulmonary artery increased from -4.9 (-7.8 to -2.4) before stent implantation to -1.5 (-4.2 to -0.2) (p = 0.02) before surgical repair. Median Z-score for the right pulmonary artery increased from -3.7 (-6.8 to -1.9) to -0.8 (-2.5 to 0.1) (p = 0.008). Median Nakata index increased from 56 mm(2)/m(2) (21-77) to 150 mm(2)/m(2) (123-231) (p = 0.008). There were no procedural complications. Six patients have undergone successful repair. There were no deaths. CONCLUSIONS: In the symptomatic young infant with TOF, stenting of the RVOT provides a safe and effective management strategy, improving arterial oxygen saturation and encouraging pulmonary artery 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".