Appropriateness of Transcatheter Aortic Valve Replacement
Bibliographic record
Abstract
Background: Transcatheter aortic valve replacement (TAVR) is widely used; however, its appropriateness is unknown. We sought to investigate the appropriateness of TAVR. Methods and Results: We assigned appropriateness ratings to patients undergoing TAVR for severe aortic stenosis between October 2013 and May 2017 at 14 Japanese hospitals participating in the optimized transcatheter valvular intervention-transcatheter aortic valve implantation registry according to the US appropriate use criteria for treating severe aortic stenosis. To account for the influence of uncaptured variables on appropriate use criteria ratings, we initially assigned them to a best-case scenario where they were assumed to classify a case to the most appropriate clinical scenario and then to a worst-case scenario where assumed least appropriate. Overall proportion of TAVRs classified as appropriate, maybe appropriate, or rarely appropriate was assessed. In addition, extent of hospital-level variation in rarely appropriate procedures was evaluated. Of 2036 TAVRs (median age [25th, 75th]: 85.0 years [81.0–88.0]; 70.5% female the Society of Thoracic Surgeons Predicted Risk of Mortality score: 6.2% [4.4–8.9]), in the best-case scenario, 177 (8.7%) were not successfully mapped, and 1580 (77.6%) were classified as appropriate, 180 (8.8%) as maybe appropriate, 99 (4.9%) as rarely appropriate, respectively. In the worst-case scenario, the rate of rarely appropriate increased to 6.8%. The majority of rarely appropriate TAVRs was performed in patients with moderate to severe dementia (defined as mini-mental status examination of ≤17), bicuspid aortic valve, or anticipated life expectancy <1 year. There was substantial variation in the proportion of rarely appropriate TAVR across hospitals (median rate of rarely appropriate: 4.9% [3.8–6.6] in the best-case scenario, P <0.001; 6.5% [5.6–8.6] in the worst-case scenario, P <0.001). Conclusions: In clinical practice, the proportion of rarely appropriate TAVRs ranged from 4.9% to 6.8% with substantial institutional variation. Our study elucidates common clinical scenarios deemed rarely appropriate and clarifies the potential targets of quality improvement. Registration: URL: https://www.umin.ac.jp/ctr/index.htm . Unique identifier: UMIN000020423.
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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 | 0.005 |
| 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".