Recombinant Activated Factor VII for Postoperative Hemorrhage Following Repair of Acute Type A Aortic Dissection
Bibliographic record
Abstract
BACKGROUND: Perioperative hemorrhage in the repair of acute type A aortic dissection increases morbidity, mortality, and costs of treatment. Recombinant activated factor VII (rFVIIa) mitigates intractable blood loss in surgery. By enhancing thrombin generation on activated platelet surfaces and activating thrombin-activatable fibrinolysis inhibitor and factor XIII, rFVIIa promotes platelet aggregation and fibrin plug formation at the site of endothelial injury. We report outcomes for type A aortic dissection patients treated postoperatively with rFVIIa for life-threatening hemorrhage. METHODS: Patients' charts were reviewed to gather demographic, procedural, and laboratory data as well as information regarding clinical outcomes and blood product use. RESULTS: Nine patients with acute type A aortic dissection received rFVIIa in the perioperative period. In the 6 hour period after rFVIIa treatment, transfusion of blood products was reduced. The international normalized ratio decreased after treatment (1.6 versus 0.9, P < .01). One patient experienced perioperative stroke. CONCLUSIONS: In patients with acute type A aortic dissections who have life-threatening bleeding, early administration of rFVIIa may safely normalize coagulation variables, decrease transfusion requirements, and enhance hemostasis.
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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 | 0.001 |
| 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 | 0.000 | 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".