Early Outcomes for Management of Atrioventricular Septal Defect—Tetralogy of Fallot in the Last Decade: A Congenital Heart Surgeons’ Society Study
Bibliographic record
Abstract
Background We sought to determine the management and early outcomes of complete atrioventricular septal defect—tetralogy of Fallot (AVSD-TOF) for a contemporary multicenter cohort. Methods Of 739 participants in the Congenital Heart Surgeons' Society AVSD cohort (January 2012-May 2021), 40 had AVSD-TOF. We first compared survival differences for patients with AVSD-TOF versus those with isolated AVSD using propensity matching. Secondly, for patients with AVSD-TOF, we compared staged (n = 16) versus primary (n = 24) repair by assessing the following: patient characteristics, progression of atrioventricular valve (AVV) regurgitation, and time-related reoperation and survival. Results Five-year survival was similar between matched AVSD-TOF and isolated AVSD groups (80% vs 81%, P = .9). Compared with primary repair patients, staged patients had smaller pulmonary valve annulus Z-score measured at first presentation (−2.2 vs −2.9, P = .006). All staged patients (12 Blalock-Thomas-Taussig shunts, 3 right-ventricular-outflow-tract stents, 1 ductal stent) survived to complete repair. Freedom from AVSD-related reoperation five years post-AVSD-TOF repair was 57% after staged versus 90% after primary repair ( P < .05) and left AVV reoperations were the most frequent reintervention. Survival five years after AVSD-TOF repair was 80% (63% after staged vs 90% after primary repair; P = .08). Conclusions Patients undergoing AVSD-TOF repair have similar survival compared with matched isolated AVSD patients. Although approximately half of AVSD-TOF patients had initial palliation and all survived to complete repair, staged repair patients had lower survival and a higher reintervention rate compared with primary repair patients. The decision to pursue staged versus primary repair for future babies with AVSD-TOF remains challenging and should be chosen based on individual circumstances.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".