Cerebral malperfusion resolution after repair of acute DeBakey type I dissection with a novel hybrid prosthesis: early results of the PERSEVERE Study
Bibliographic record
Abstract
OBJECTIVES: Patients undergoing hemiarch repair for acute DeBakey type I dissection (ADTI) are high risk for postoperative stroke, especially if cerebral malperfusion is present preoperatively. We sought to evaluate whether the AMDS Hybrid Prosthesis (AMDS), a bare metal stent designed to promote positive aortic remodelling and prevent distal anastomotic new entry tears, may improve neurological outcomes of patients with ADTI presenting with cerebral malperfusion. METHODS: PERSEVERE enrolled patients presenting with ADTI and malperfusion at 26 sites in North America. Among 93 enrolled patients, 30 (32.3%) presented with cerebral malperfusion. We evaluated for resolution of clinical and/or radiological cerebral malperfusion after hemiarch repair with AMDS. RESULTS: Cerebral malperfusion was diagnosed clinically in 19 (63.3%) patients and radiographically in 23 (76.7%) patients. Among the patients with clinical cerebral malperfusion, 18 survived the perioperative period; of these, 11 (61%) experienced complete resolution of preoperative symptoms, 5 (28%) had no worsening of preoperative symptoms, and 2 (11%) had a new disabling stroke postoperatively. At follow-up, the mean true lumen to total arterial diameter ratio (measured by computed tomography angiography) improved from 30.9% to 64.4% (P = 0.002) in the innominate artery and 33.8% to 60.6% (P = 0.005) in the left common carotid artery from preoperative baseline in patients with radiographic cerebral malperfusion. CONCLUSIONS: Among patients presenting with ADTI and cerebral malperfusion, the majority had resolution or stability of neurological symptoms after hemiarch repair using the AMDS. Radiographic indicators of malperfusion also improved. CLINICAL TRIAL REGISTRATION: https://clinicaltrials.gov/study/NCT05174767.
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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) | 0.001 | 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".