<scp>Sex‐specific in‐hospital</scp> outcomes of transcatheter aortic valve replacement with third generation transcatheter heart valves
Bibliographic record
Abstract
BACKGROUND: Sex-based differences in transcatheter aortic valve replacement (TAVR) outcomes have been previously documented. However, whether these differences persist with contemporary third generation transcatheter heart valves (THVs) is unknown. METHODS: We utilized Vizient's clinical database/resource manager (CDB/RM™) to identify patients who underwent TAVR between January 1, 2018 and March 31, 2020 to compare in-hospital outcomes between males and females. The primary endpoint was in-hospital mortality. Secondary endpoints included key in-hospital complications, length of stay, discharge disposition, and cost. Unadjusted, propensity-score matched and risk-adjusted analyses of outcomes were performed. RESULTS: During the study period, 44,280 patients (24,842 males, 19,438 females) underwent TAVR. The primary endpoint of in-hospital mortality was higher in females than in males (1.6 vs. 1.1% p < .001) in unadjusted analysis and persisted following propensity matching (1.6 vs. 0.9%, p < .001) and multivariable logistic regression with various risk-adjustment models. In the most comprehensive model adjusting for age, race, and clinical comorbidities, female sex was associated with 34% greater odds of in-hospital death (95% CI 20-50%, p < .001). Unadjusted and risk-adjusted rates of post-TAVR stroke, vascular complication, and blood transfusion were higher in females. Moreover, females demonstrated longer hospitalizations, higher costs and reduced rates of independent discharge home. CONCLUSION: Sex-based differences in TAVR in-hospital outcomes persist in contemporary practice with third generation transcatheter heart valves. Further research is needed to assess the reasons for these observed disparities and to identify effective mitigation strategies.
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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) | 0.001 | 0.010 |
| 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".