The impact of prosthesis–patient mismatch after aortic valve replacement varies according to age at operation
Bibliographic record
Abstract
OBJECTIVES: Age may modify the impact of prosthesis-patient mismatch (PPM) on outcomes after aortic valve replacement (AVR), as physical functioning decreases with age, and comorbidities become more prevalent. We hypothesised that the consequences of PPM in patients 70 years old or older may be less important than in younger patients. METHODS: In total, 707 aortic stenosis patients were followed for a maximum of 17.5 years after AVR. PPM was defined as an in vivo indexed effective orifice area ≤0.85 cm2/m2, and severe PPM as ≤0.65 cm2/m2. RESULTS: In patients less than 70 years of age with normal LV function, the presence of PPM did not significantly alter survival. However, in patients under 70 with LV dysfunction, PPM was associated with decreased survival (HR 2.2; p=0.046). In patients aged 70 years of age or older, PPM had no effect on survival, regardless of LV function. Similarly, PPM was predictive of postoperative congestive heart failure (CHF) in patients under 70 with LV dysfunction (HR 3.6; p=0.046) but not in older patients. Similar results were observed for the composite endpoint of death or CHF. Postoperative LV mass regression was impaired by increased age (p=0.019), and by PPM in patients aged 70 years of age or older with LV dysfunction (by 28.8 g/m2; p=0.026). CONCLUSIONS: The impact of PPM on outcomes after AVR depends on age at operation. PPM in patients under age 70 years with LV dysfunction is associated with decreased survival and lower freedom from CHF. In patients 70 years of age or older, PPM does not impact mortality or symptoms, but impairs LV mass regression beyond that explained by age alone.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".