Morbidity outcomes after surgical aortic valve replacement
Bibliographic record
Abstract
OBJECTIVE: In patients with mild to moderate operative risk, surgical aortic valve replacement (SAVR) is still the preferred treatment for patients with severe symptomatic aortic stenosis (AS). Aiming to broaden the knowledge of postsurgical outcomes, this study reports a broad set of morbidity outcomes following surgical intervention. METHODS: Our cohort comprised 442 patients referred for severe AS; 351 had undergone SAVR, with the remainder (91) not operated on. All patients were evaluated using the 6-minute walk test (6MWT), were assigned a New York Heart Association class (NYHA) and Canadian Cardiovascular Society class (CCS), with additional scores for health-related quality of life (HRQoL), cognitive function (Mini-Mental State Examination (MMSE)) and myocardial remodelling (at inclusion and at 1-year follow-up). Adverse events and mortality were recorded. RESULTS: Three-year survival after SAVR was 90.0%. SAVR was associated with an improved NYHA class, CCS score and HRQoL, and provoked reverse ventricular remodelling. The 6MWT decreased, while the risks of major adverse cardiovascular events (death, non-fatal stroke/transient ischaemic attack or myocardial infarction) and all-cause hospitalisation (incidence rate per 100 patient-years) were 13.5 and 62.4, respectively. The proportion of cognitive disability measured by MMSE increased after SAVR from 3.2% to 8.8% (p=0.005). Proportion of patients living independently at home, having attained NYHA class I, was met by 49.1% at 1 year. Unoperated individuals had a poor prognosis in terms of any outcome. CONCLUSION: This study provides knowledge of outcomes beyond what is known about the mortality benefit after SAVR to provide insight into the morbidity burden of modern-day SAVR.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".