Mini‐sternotomy versus full sternotomy for isolated aortic valve replacement: A single‐center experience
Bibliographic record
Abstract
BACKGROUND: Minimally invasive approaches to isolated aortic valve replacement (AVR) are well-described and widely utilized. While there are numerous proposed benefits, there is limited literature describing significant morbidity or mortality benefits for minimally invasive isolated AVR resulting in hesitancy in its universal adoption. In this retrospective study, we compare the 5-year outcomes of patients undergoing isolated AVR via full sternotomy (FS) or mini-sternotomy (MS). METHODS: 756 patients underwent isolated AVR between 2014 and 2019. Propensity matching resulted in 142 matched pairs that received either FS or MS. The primary outcome was mortality during the follow-up period. Secondary outcomes included intraoperative variables and postoperative morbidity. RESULTS: Intraoperative variables including total operative, cardiopulmonary bypass, and aortic cross-clamp times did not differ significantly between groups. Postoperative mortality was similar between the matched groups with nonsignificant differences at 30 days (2.12% vs. 1.4%, p = .657), 1 year (4.9% vs. 2.1%, p = .0.223), and 5 years (7.5% vs. 3.5%, p = .174). Rates of postoperative morbidity were comparable between groups with no significant differences. CONCLUSION: This study examined the long-term outcomes of propensity-matched patients undergoing isolated AVR via FS or MS and identified no significant differences in outcomes over a 5-year follow-up period. The decision for surgical approach is multifactorial and should be decided on a case-by-case basis taking into consideration patient anatomy, surgeon experience, and comfort, as well as patient preference.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".