Type B aortic dissection in Marfan patients after the David procedure: Insights from patient-specific simulation
Bibliographic record
Abstract
Objective An elevated risk of acute type B aortic dissection exists in patients with Marfan syndrome after the David procedure. This study explores hemodynamic changes in the descending aorta postsurgery. Methods A single-center retrospective review identified 5 patients with Marfan syndrome who experienced acute type B aortic dissection within 6 years after the David procedure, alongside 5 matched patients with Marfan syndrome without dissection more than 6 years postsurgery. Baseline and postoperative computed tomography and magnetic resonance scans were analyzed for aortic geometry reconstruction. Computational fluid dynamic simulations evaluated preoperative and postoperative hemodynamics. Results Patients with acute type B aortic dissection showed lower blood flow velocities, increased vortices, and altered velocity profiles in the proximal descending aorta compared with controls. Preoperatively, median time-averaged wall shear stress in the descending aorta was lower in patients with acute type B aortic dissection (control: 1.76 [1.50-2.83] Pa, dissection: 1.16 [1.06-1.30] Pa, P = .047). Postsurgery, neither group had significant time-averaged wall shear stress changes (dissection: P = .69, control: P = .53). Localized analysis revealed surgery-induced time-averaged wall shear stress increases near the subclavian artery in the dissection group (range, +0.30 to +1.05 Pa, each comparison, P < .05). No such changes were observed in controls. Oscillatory shear index and relative residence time were higher in patients with acute type B aortic dissection before and after surgery versus controls. Conclusions Hemodynamics likely play a role in post–David procedure acute type B aortic dissection. Further investigation into aortic geometry, hemodynamics, and postoperative acute type B aortic dissection is vital for enhancing outcomes and refining surgical strategies in patients with Marfan syndrome.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".