Endovascular Fenestration/Stenting First Followed by Delayed Open Aortic Repair for Acute Type A Aortic Dissection With Malperfusion Syndrome
Bibliographic record
Abstract
BACKGROUND: Immediate open repair of acute type A aortic dissection is traditionally recommended to prevent death from aortic rupture. However, organ failure because of malperfusion syndrome (MPS) might be the most imminent life-threatening problem for a subset of patients. METHODS: From 1996 to 2017, among 597 patients with acute type A aortic dissection, 135 patients with MPS were treated with upfront endovascular reperfusion (fenestration/stenting) followed by delayed open repair (OR). We compared outcomes between the first and second decades and observed mortalities with those expected with an "upfront OR for every patient" approach, determined using prognostic models from the literature (Verona, Leipzig-Halifax, Stockholm, Penn, and GERAADA [German Registry for Acute Aortic Dissection Type A] models). RESULTS: Overall, in-hospital mortality improved between the 2 decades (21.0% versus 10.7%, P<0.001). In the second decade, for patients with MPS initially treated with fenestration/stenting, mortality from aortic rupture decreased from 16% to 4% ( P=0.05), the risk of dying from organ failure was 6.6 times higher than dying from aortic rupture (hazard ratio=6.63; 95% CI, 1.5-29; P=0.01), and 30-day mortality after OR for MPS patients was 3.7%. Compared to the expected mortalities with the upfront OR for every patient models, our observed 30-day and in-hospital mortalities (9% and 11%, respectively) of all patients with acute type A aortic dissection were significantly lower ( P≤0.03). CONCLUSIONS: Immediate OR is the strategy to prevent death from aortic rupture for the majority of patients with acute type A aortic dissection. However, relatively stable (no rupture, no tamponade) patients with MPS benefit from a staged approach: upfront endovascular reperfusion followed by aortic OR at resolution of organ failure.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".