Aortic root management in acute type A aortic dissection: A nationwide analysis
Bibliographic record
Abstract
OBJECTIVE: Acute type A aortic dissection (ATAAD) is a life-threatening condition and surgical repair often includes aortic valve replacement (AVR). Aortic valve repair (AVr) is increasingly being reported with favorable outcomes from single-center experiences. This study examined national trends and outcomes of AVr in patients with ATAAD. METHODS: Adults with a primary diagnosis of acute thoracic aortic dissection who underwent proximal aortic surgery from January 2016 to December 2017 were obtained from the National Inpatient Sample. Patients were stratified into an isolated aortic surgery group (no aortic valve procedure), concomitant AVR, or concomitant AVr groups. The primary outcome was in-hospital mortality and secondary outcomes included stroke, acute kidney injury, heart block, and bleeding. Propensity score matching was used to address patient and hospital-level confounders between AVR and AVr groups. RESULTS: In total, 5115 patients underwent surgery for ATAAD and were included. Overall, 3220 (63%) underwent isolated ATAAD repair, while 1120 (22%) had concomitant AVR, and 775 (15%) had concomitant AVr. In 455 propensity-matched pairs, there was no difference in mortality or stroke between AVr and AVR groups, however, heart block (1.1% vs. 7.5%, p < .001) and bleeding (65.9% vs. 81.3%, p < .001) were significantly less common among those who underwent AVr. Patients who underwent AVr had shortest LOS (11.9 vs. 13.5 days, p < .001). There were no differences in outcomes of AVr in ATAAD based on hospital size or teaching status. CONCLUSION: In selected patients, AVr is being performed safely in the setting of ATAAD with mortality and composite outcomes comparable to AVR.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".