Abstract WP355: Impact of Target Stroke on Reducing Door-to-Needle Times
Bibliographic record
Abstract
Background: Intravenous tissue plasminogen activator (IV-tPA) is the only FDA approved drug treatment for Acute Ischemic Stroke (AIS) within 3 hours or less from onset of stroke symptoms. The guidelines also recommend that stroke centers be able to administer IV-tPA in less than 60 minutes from the time the patients arrive, door-to-needle (DTN) time. Since less than one third of hospitals achieve this DTN goal, the American Stroke Association developed a national initiative to reduce the door to needle time called “Target Stroke” (TS). Methods: A retrospective analysis was conducted of DTN times on 59 consecutive patients receiving IV-tPA at the University of Louisville Hospital from January 2009 to July, 2012. TS was instituted the fourth quarter of 2011. The percentage of patients meeting the target DTN time of less than 60 minutes was compared before and after TS was instituted (Quarter 1 and 2, 2011 vs Q1-2, 2012). Q1-2, 2010 and Q1-2, 2009 were also compared to Q1-2, 2012. Data were analyzed using 2X2 Fisher’s exact test. A two-tailed probability value of p <0.05 was considered significant. Results: The data show a statistically significant association between DTN time in less than 60 minutes and target stroke implementation ( p <0.001, Q1-2, 2011 vs Q1-2, 2012; p <0.001, Q1-2, 2010 vs Q1-2, 2012 and p <0.020 Q1-2, 2009 vs Q1-2, 2012). Conclusions/Discussion: More patients received IV-tPA in less than 60 minutes after implementation of TS than before. Utilization of TS significantly improved DTN times at University of Louisville Hospital. Our next step will be to compare outcomes for the same data set using discharge modified Rankin Scale and discharge disposition.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".