Sex-related differences in severe native valvular heart disease: the ESC-EORP Valvular Heart Disease II survey
Bibliographic record
Abstract
BACKGROUND AND AIMS: To assess sex differences in disease characteristics and treatment of patients with severe native valvular heart disease (VHD) included in the VHD II EURObservational Research Programme. METHODS: A total of 5219 patients were enrolled in 208 European and North African centres and followed for 6 months [41.2% aortic stenosis (AS), 5.3% aortic regurgitation (AR), 4.5% mitral stenosis (MS), 21.3% mitral regurgitation (MR), 2.7% isolated right-sided VHD, 24.9% multiple left-sided VHD]. Indications for intervention were considered concordant if corresponding to class I recommendations specified in the 2012 ESC or 2014 AHA/ACC VHD guidelines. RESULTS: Overall, women were older, more symptomatic, and presented with a higher EuroSCORE II. Bicuspid aortic valve and AR were more prevalent among men while mitral disease, concomitant tricuspid regurgitation (TR), and AS above age 65 were more prevalent among women. On multivariable regression analysis, concordance with recommended treatment was significantly poorer in women with MS and primary MR (both P < .001). Age, patient refusal, and decline of symptoms after conservative treatment were reported significantly more often as reasons to withhold the intervention in females. Concomitant tricuspid intervention was performed at a similar rate in both sexes although prevalence of significant TR was significantly higher in women. In-hospital and 6-month survival did not differ between sexes. CONCLUSIONS: (i) Valvular heart disease subtype varied between sexes; (ii) concordance with recommended intervention for MS and primary MR was significantly lower for women; and (iii) survival of men and women was similar at 6 months.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".