Aortic Valve Replacement: Validation of the Toronto Aortic Stenosis Quality of Life Questionnaire
Bibliographic record
Abstract
AIMS: There is no quality of life tool specifically developed for patients with severe aortic stenosis (AS) to assess how this chronic condition and its treatment affect patients. The Toronto Aortic Stenosis Quality of Life Questionnaire (TASQ) has been developed to overcome this gap. The results of the validation of the TASQ in patients undergoing treatment for severe AS are presented. METHODS AND RESULTS: Prospective study at 10 centres in Europe and Canada, which enrolled 274 patients with severe symptomatic AS undergoing surgical or transcatheter aortic valve replacement. Mean TASQ score at baseline was 71.2 points and increased to 88.9 three months after aortic valve implantation (P < 0.001). Increases were seen for the emotional impact (32.0 to 39.0; P < 0.001), physical limitations (14.8 to 22.0; P < 0.001), and physical symptoms (8.5 vs. 11.0; P < 0.001) domains. Internal consistency was good/excellent for overall TASQ score (α = 0.891) and for the physical limitation, emotional impact, and social limitation domains (α = 0.815-0.950). Test-retest reliability was excellent or strong for the overall TASQ (intraclass correlation coefficient of 0.883) and for the physical symptoms, physical limitation, emotional impact, and social limitation domains (intraclass correlation coefficient of 0.791-0.895). Responsiveness was medium overall (Cohen's d = 0.637) and medium/large for physical symptoms, emotional impact, and physical limitations (0.661-0.812). Sensitivity to change was significant for physical symptoms, physical limitations (both P < 0.001), emotional impact (P = 0.003), and social limitations (P = 0.038). CONCLUSIONS: The TASQ is a new, brief, self-administered, and clinically relevant health-specific tool to measure changes in quality of life in patients with AS undergoing an intervention.
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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".