Abstract WMP11: Health-related Quality Of Life After Thrombolysis In Acute Stroke: Results From The Act Trial
Bibliographic record
Abstract
Background and aims: Recent evidence from thrombolysis trials indicate the non-inferiority of the Tenecteplase (TNK) to the Alteplase (TPA) with respect to functional outcomes in acute stroke patients. This study examines the predictors of patient-reported health-related quality of life (HRQOL) in acute stroke patients who received thrombolysis therapy. Methods: Data were used from all acute stroke patients included in AcT, a pragmatic, registry-linked randomized trial comparing TNK with TPA. HRQOL at 90-day post-randomization was assessed using the EuroQol-5D-5L (EQ-5D) visual analogue scale (VAS). Based on the Canadian norms, health state utilities were estimated from the EQ-5D items using the EQ-5D time trade-off approach. Tobit regression model and linear mixed-effects regression were used to evaluate the adjusted effect of type of treatment on health utility scores and VAS score, respectively. Results: Of the 1262 patients included in this analysis, 647(51.3%) were administered the TNK, 584(46.3%) were female, and 380(30.1%) were greater than or equal to 80 years old. There was no significant adjusted effect of the type of thrombolysis on health utility scores (adjusted beta coefficient [95%CI] = 0.029 [-0.001, 0.062]), but patients who received TNK reported higher adjusted VAS scores than those that received TPA [adjusted beta coefficient [95%CI] = 2.1 [-0.29, 4.49]). Older age (p < 0.01), female sex (p = 0.01), higher NIHSS score (p < 0.01) were associated with lower health utilities and VAS scores. Conclusion: There is no differential effect of the type of thrombolysis on patient-reported global HRQOL and health state utilities of acute stroke patients. Disparities in HRQOL were mainly explained by sex, age, and disease severity.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".