Treatment With Tissue Plasminogen Activator in the Golden Hour and the Shape of the 4.5-Hour Time-Benefit Curve in the National United States Get With The Guidelines-Stroke Population
Bibliographic record
Abstract
BACKGROUND: Earlier tissue plasminogen activator treatment improves ischemic stroke outcome, but aspects of the time-benefit relationship still not well delineated are: (1) the degree of additional benefit accrued with treatment in the first 60 minutes after onset, and (2) the shape of the time-benefit curve through 4.5 hours. METHODS: We analyzed patients who had acute ischemic stroke treated with intravenous tissue plasminogen activator within 4.5 hours of onset from the Get With The Guidelines-Stroke US national program. Onset-to-treatment time was analyzed as a continuous, potentially nonlinear variable and as a categorical variable comparing patients treated within 60 minutes of onset with later epochs. RESULTS: Among 65 384 tissue plasminogen activator-treated patients, the median onset-to-treatment time was 141 minutes (interquartile range, 110-173) and 878 patients (1.3%) were treated within the first 60 minutes. Treatment within 60 minutes, compared with treatment within 61 to 270 minutes, was associated with increased odds of discharge to home (adjusted odds ratio, 1.25; 95% confidence interval, 1.07-1.45), independent ambulation at discharge (adjusted odds ratio, 1.22; 95% confidence interval, 1.03-1.45), and freedom from disability (modified Rankin Scale 0-1) at discharge (adjusted odds ratio, 1.72; 95% confidence interval, 1.21-2.46), without increased hemorrhagic complications or in-hospital mortality. The pace of decline in benefit of tissue plasminogen activator from onset-to-treatment times of 20 through 270 minutes was mildly nonlinear for discharge to home, with more rapid benefit loss in the first 170 minutes than later, and linear for independent ambulation and in-hospital mortality. CONCLUSIONS: Thrombolysis started within the first 60 minutes after onset is associated with best outcomes for patients with acute ischemic stroke, and benefit declined more rapidly early after onset for the ability to be discharged home. These findings support intensive efforts to organize stroke systems of care to improve the timeliness of thrombolytic therapy in acute ischemic stroke.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".