Valva aórtica bicúspide: fundamentos teóricos e clínicos para substituição simultânea da aorta ascendente
Bibliographic record
Abstract
Bicuspid aortic valve (BAV) is associated with annuloaortic ectasia, dissection and ascending aortic aneurysm. The high incidence of this congenital malformation and aortic disease suggests a close correlation between the two phenomena. Abnormalities in different phases of cell migration of the neural crest might be responsible for the occurrence of abnormalities in the aortic valve, media layer of the ascending aorta and vessels of the aortic arch. Previous studies have shown that patients with normal BAV or slight dysfunction may present with dilation of the aortic root. The hemodynamic changes caused by BAV without stenosis or insufficiency seem to be an insufficient explanation for these findings. Several mechanisms have been proposed to explain the molecular and hystological aspects of this disease. We found a reduced fibrillin-1 content in both ascending aorta and pulmonary trunk as a possible cause. Histologically, the ascending aorta can present cystic medial necrosis and elastic fragmentation, similar to Marfan's disease. Some authors concluded that many patients, mainly those with aortic regurgitation, should have the aortic valve and the ascending aorta replaced at the same procedure, even if a mild dilatation (45 mm) is present in patients with BAV if life expectancy is anticipated to be greater than 10 years to prevent further aneurysms or ruptures.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".