Health-Related Quality of Life Among Patients With Acute Ischemic Stroke and Large Vessel Occlusion in the ESCAPE Trial
Bibliographic record
Abstract
Background and Purpose: Endovascular thrombectomy (EVT) reduces 90-day disability in patients following acute ischemic stroke due to large vessel occlusion. Patient-reported outcome measures after EVT, such as health-related quality of life and specific functional domains, are less well described. Methods: We report outcomes on the EuroQol-5D (EQ-5D) from the ESCAPE (Endovascular Treatment for Small Core and Anterior Circulation Proximal Occlusion With Emphasis on Minimizing CT to Recanalization Times) randomized controlled trial at 90 days after stroke. Death was assigned an index value of 0 for EQ-5D. We used quantile regression to evaluate the association between EVT and EQ-5D index scores and logistic regression for the association between EVT and symptom-free status among 90-day survivors for each EQ-5D dimension (self-care, usual activities, mobility, pain/discomfort, and anxiety/depression), assessing for modification by age or sex and adjusting for baseline factors including stroke severity, affected hemisphere, and receipt of alteplase. Lastly, the association between severe disability at 90 days and EQ-5D was evaluated with assessment for modification by EVT, age, and sex. Results: There were 165 patients randomized to EVT and 150 patients randomized to control. Median EQ-5D was significantly higher for those who received EVT compared with best medical management (0.80 versus 0.60; P<0.001). After accounting for the greater number of deaths in the elderly, there was evidence of modification of treatment effect by age, with older age associated with a larger effect size difference in EQ-5D with EVT. Those receiving EVT had higher odds of symptom-free status in self-care, usual activities, mobility for those aged 60 to 79 years, and pain/discomfort for women, but there was no association with anxiety/depression. Severe disability at 90 days was associated with lower EQ-5D in older compared with younger individuals, and the association was not modified by EVT. Conclusions: Patients treated with EVT report substantially improved health-related quality of life, with relatively greater impact in older individuals and observed benefit across multiple dimensions.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".