Variability of repairable bicuspid aortic valve phenotypes: towards an anatomical and repair-oriented classification†
Bibliographic record
Abstract
OBJECTIVES:: The bicuspid aortic valve (BAV) exists in a wide variety of valve phenotypes. The aim of this study was to assess the anatomical characteristics of the different phenotypes and develop a classification system to aid surgical repair. METHODS:: In 178 consecutive patients operated on for aortic insufficiency or aortic dilatation in 2 centres, 11 anatomical parameters of BAV were measured by echocardiography and intraoperatively. All BAV judged potentially repairable were included in the study. RESULTS:: Commissural orientation correlated positively with fusion length (R2 = 0.6, P < 0.001) and negatively with non-functional commissure height (R2 = 0.45, P < 0.001). The cohort was divided into 3 groups according to their commissural orientation (type A: symmetrical, 160-180°, n = 73; type B: asymmetrical, 140-159°, n = 74; and type C: very asymmetrical, 120-139°, n = 31). The patterns of cusp fusion, annulus and aortic size were similar among the groups. Fusion length and the geometric height of the cusps decreased from type A to C; non-functional commissure height increased from type A to C (P < 0.05). Patient age increased from type A to type C. Isolated aortic dilatation was more frequent in type A, and severe aortic insufficiency was more frequent in types B and C (P < 0.05). Valve repair techniques and management of commissural orientation varied among the 3 groups (P < 0.05). Aortic valve replacement and residual aortic insufficiency after repair were more frequent in type C (P < 0.05). CONCLUSIONS:: The BAV phenotypes follow a continuous spectrum that extends from symmetrical to very asymmetrical BAV. We describe the main anatomical parameters (including commissure orientation, length of fusion and non-functional commissure height) and their variation across this spectrum. We propose a new repair-oriented classification system based on those parameters that can be used to predict valve repair techniques. This classification needs further validation with regards to surgical techniques and long-term outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".