Late Clinical Outcomes of Balloon-Expandable Valves in Small Annuli
Bibliographic record
Abstract
BACKGROUND: Short-term clinical outcomes after transcatheter aortic valve replacement (TAVR) are similar in individuals with small or large annuli. The longer term impact of prosthesis-patient mismatch (PPM) and mean gradient (MG) post-TAVR in these patients remains controversial. OBJECTIVES: The aim of this study was to investigate 5-year outcomes in patients with small vs large annuli. METHODS: ) annular size. The primary endpoint was a composite of all-cause death, disabling stroke, or heart failure hospitalization. In addition, the relationships between both PPM and post-TAVR MG and clinical outcomes were analyzed. RESULTS: ). Patients with small annuli were older (age 79.6 ± 7.1 years vs 78.7 ± 7.8 years; P = 0.047), were more often female (75.0% vs 16.2%; P < 0.0001), had higher baseline Society of Thoracic Surgeons scores (4.3% ± 1.93% vs 4.0% ± 1.93%; P < 0.0001), and had higher left ventricular ejection fractions (66.3% ± 15.82% vs 59.7% ± 13.68%; P < 0.0001). Primary endpoint rates were similar at 1 year (7.8% vs 8.0%; P = 0.94) and 5 years (36.3% vs 35.8%; P = 0.83). Bioprosthetic valve failure was infrequent at 5 years in both groups (2.9% vs 2.1%; P = 0.46). Among female patients, outcomes were similar for small vs large annuli (primary endpoint; 33.6% vs 34.2%; P = 0.90). Among patients with small annuli, there was no association between 5-year outcomes and any severity of PPM (P = 0.22) or 30-day MG (P for nonlinearity = 0.96). CONCLUSIONS: Five-year clinical outcomes were excellent and comparable between patients with small vs large aortic annuli. Outcomes in patients with small annuli were not affected by 30-day MG or PPM.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.024 |
| 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) | 0.000 | 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 teacher head, 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".