Atrioventricular Septal Defects: Lessons Learned About Patterns of Practice and Outcomes From the Congenital Heart Surgery Database of the Society of Thoracic Surgeons
Bibliographic record
Abstract
During the 4-year time interval of 2005 through 2008, the Society of Thoracic Surgeons Congenital Heart Surgery Database documented data about 2882 operations to repair atrioventricular (AV) canal defects: partial, 623 (21.5%); intermediate, 342 (11.8%);. complete, 1917 (66.3%). Mean age at complete repair (years) was as follows: partial, 6.1; intermediate, 2.9; complete, 0.6. Median age at complete repair (years) was as follows: partial, 2.6; intermediate, 0.9; complete, 0.4. Down syndrome was present in 1767 patients (61.1%). Debanding of the pulmonary artery was rarely performed: partial, 1 (0.2%); intermediate, 0 (0.0%); complete, 66 (3.4%). Deep hypothermic circulatory arrest was rarely used: partial, 6 (1.0%); intermediate, 5 (1.5%); complete, 52 (2.7%). Discharge mortality was low: partial, 2 (0.3%); intermediate, 3 (0.9%); complete, 38 (2.0%). Atrioventricular block requiring permanent pacemaker occurred but was uncommon: partial, 6 (1.0%); intermediate, 2 (0.6%); complete, 29 (1.5%). Unplanned reoperation prior to hospital discharge occurred in 3.9% of complete AV canal repairs. The sternum was left open in 3.0% of complete AV canal repairs. Postoperative cardiac arrest occurred in 1.9% of complete AV canal repairs. Mean postoperative length of stay (days) was as follows: partial, 5.2; intermediate, 7; complete, 13.1. Median postoperative length of stay (days) was as follows: partial, 4; intermediate, 4; complete, 7. This review of data from the Society of Thoracic Surgeons Congenital Heart Surgery Database allows for unique documentation of patterns of practice and outcomes. From this review, we learned that 98% to 99% of patients survive complete repair of AV canal and 96% to 97% survive complete repair of AV canal with no major complications.
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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 | 0.007 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 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".