Toronto aortic stenosis quality-of-life questionnaire (TASQ): validation in Polish AS patients
Bibliographic record
Abstract
Abstract Background Quality of life (QoL) is a multidimensional concept encompassing physical, mental, and social aspects, as well as the patient’s ability to perform daily activities, including social and occupational functioning. Hence, the QoL is recognized as a clinically significant outcome measure among patients with aortic stenosis (AS). However, there is no validated, AS-specific questionnaire available in Poland for assessing the quality of life in AS patients. The aim of the study was to determine the psychometric properties of the Polish version of the TASQ. Material and methods The study involved 113 patients with severe AS (including 59 women), aged 74 to 82 years [mean age, 77] hospitalized at the Clinical Department of Cardiology in 2024. The standardized questionnaires were used to assess the level of quality of life: the TASQ, and the Minnesota Living with Heart Failure Questionnaire (the MLHFQ). Results The mean QoL level assessed by the TASQ was 60.72 ± 22.82. The Cronbach’s alpha for the entire TASQ was 0.919, for the emotional impact subscale 0.873, and for the physical limitation’s subscale 0.861. Satisfactory values of fit measures were obtained for a five-factor structure (RMSEA <0.01; CFI > 0.99). The loadings of each item were statistically significant (p<0.001). The MLHFQ score correlated significantly (p<0.05) and positively (r>0) with the score on the scales of physical symptoms (r=0.479), physical limitations (r=0.662), social limitations (r=0.597), emotional impact (r=0.638), and overall quality of life (r=0.712). Conclusions Patients with severe AS exhibit a low quality of life. The TASQ has very good psychometric properties and can be used to assess quality of life in the population of Polish patients with AS.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".