Abstract 18101: Three-Dimensional Echocardiography Identify Mechanisms of Early Post Operative Valve Failure in Pediatric and Congenital Heart Disease
Bibliographic record
Abstract
Background: Three-dimensional echocardiography (3DE) is an accurate and informative imaging modality routinely used in pre-operative assessment for surgical planning. There is however little information on 3DE role in early post-operative valve failure assessment. This is a report on our 5 years experience of 3DE in early post-operative mitral/left atrioventricular valve (MV/LAVV) failure assessment, its impact on our understanding of its mechanism and the clinical decision for returning to the operating theatre for re-repair. Methods and results: We retrospectively reviewed all patients chart and echo with MV/LAVV surgery between 2008 and 2012, excluding primary repair of atrioventricular septal defect (AVSD) and primary valve replacement. Early valve failure (EVF) is defined as moderate or greater MV/LAVV regurgitation within 30 days post repair. There were 132 MV/LAVV surgeries consisting of repaired complete AVSD (n=85), congenital MV abnormality (n= 17) and primum AVSD (n= 16). Pre operative moderate or greater regurgitation was present in 55 (42%) and post op EVF in 33 patients (25%). 3DE were performed in 22 (67%) of 33 EVF with 8 patients returning to the operating room for re-repair due to poor clinical progress in intensive care unit. Six of 8 re-repair were infants. 3DE accurately identified the mechanism of regurgitation such as suture dehiscence at base of cleft, leaflet tears and patch failure (see Figure). Four of 8 patients MV/LAVV regurgitation improved to mild or less regurgitation at follow-up (median 2 months), 3 remained unchanged and 1 subsequently died from intractable heart failure despite MV/LAVV regurgitation improving from severe to moderate. Conclusion: Although patient returning for re-repair of EVF were mainly driven by poor clinical progress in intensive care. 3DE accurately identified the mechanism of early post-operative valve failure thus facilitating surgical planning and decision for re-repair.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".