Abstract 86: Progress in Achieving More Rapid Door-to-Needle Times in Acute Ischemic Stroke: Interim Findings From Target: Stroke Phase II
Bibliographic record
Abstract
Background: The benefits of intravenous tPA in acute ischemic stroke are time-dependent and hospitals participating in Target: Stroke have substantially improved the proportion of patients being treated with door-to-needle (DTN) times of ≤60 minutes. However, very few patients were treated with DTN times of ≤45 or ≤30 minutes during Target: Stroke Phase I (2010-2013). This study aims to assess whether there have been greater achievement of DTN times ≤45 and ≤30 minutes since the launch of Target: Stroke Phase II in Q2 2014. Methods: Target: Stroke Phase II identified and disseminated additional best practice strategies, provided updated clinical decision support tools, and set new hospital recognition goals. Rates of DTN times ≤45 and ≤30 minutes were compared prior to Target: Stroke (2003-2009), during Phase I (2010-2013), and during Phase II (Q2 2014-present) by weighted linear regression. Results: There were 131,166 intravenous tPA treated patients from 1397 GWTG-Stroke hospitals. Patient characteristics were similar during the study periods. Median DTN time declined from Phase I to Phase II: 66 minutes (IQR 51-87) to 54 minutes (IQR 41-71) and % of patients with DTN times ≤60 minutes increased from 42.0% to 62.7%, (P<0.0001). The % of patients with DTN times ≤45 minutes increased from Phase I to Phase II: 17.3% to 33.9%, absolute difference +16.6%, (P<0.0001). The % of patients with DTN times ≤30 minutes also increased from Phase I to Phase II: 4.1% to 10.3%, absolute difference +6.2%, (P<0.0001). The estimated annual rate of increase in patients with DTN times ≤45 minutes was 0.25% per year pre-Target Stroke, 3.5% per year during Phase I, and 7.7% per year during Phase II (P<0.0001) (Figure). Conclusions: There has been accelerating progress in achieving more rapid DTN times for tPA administration among GWTG-Stroke hospitals participating in Target: Stroke Phase II. Nevertheless, opportunities remain to further improve the timeliness of care and clinical outcomes.
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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 | 0.013 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".