Door-to-Needle Times for Tissue Plasminogen Activator Administration and Clinical Outcomes in Acute Ischemic Stroke Before and After a Quality Improvement Initiative
Bibliographic record
Abstract
IMPORTANCE: The benefits of intravenous tissue plasminogen activator (tPA) in patients with acute ischemic stroke (AIS) are time dependent and guidelines recommend a door-to-needle (DTN) time of 60 minutes or less. However, studies have found that less than 30% of US patients are treated within this time window. TARGET: Stroke was designed as a national quality improvement initiative to improve DTN times for tPA administration in patients with AIS. OBJECTIVES: To evaluate DTN times for tPA administration and the proportion of patients with times of 60 minutes or less before and after initiation of a quality improvement initiative and to determine whether potential improvements in DTN times were associated with improvements in clinical outcomes. DESIGN, SETTING, AND PATIENTS: The TARGET: Stroke initiative disseminated 10 care strategies to achieve faster DTN times for tPA administration, provided clinical decision support tools, facilitated hospital participation, and encouraged sharing of best practices. This study included 71,169 patients with AIS treated with tPA (27,319 during the preintervention period from April 2003-December 2009 and 43,850 during the postintervention period from January 2010-September 2013) from 1030 Get With The Guidelines-Stroke participating hospitals (52.8% of total). MAIN OUTCOMES AND MEASURES: The DTN times for tPA administration of 60 minutes or less and in-hospital risk-adjusted mortality, symptomatic intracranial hemorrhage, ambulatory status at discharge, and discharge destination. RESULTS: Median DTN time for tPA administration declined from 77 minutes (interquartile range [IQR], 60-98 minutes) during the preintervention period to 67 minutes (IQR, 51-87 minutes) during the postintervention period (P < .001). The DTN times for tPA administration of 60 minutes or less increased from 26.5% (95% CI, 26.0%-27.1%) of patients during the preintervention period to 41.3% (95% CI, 40.8%-41.7%) during the postintervention period (P < .001). The DTN times of 60 minutes or less increased from 29.6% (95% CI, 27.8%-31.5%) of patients in the quarter immediately before the intervention (fourth quarter of 2009) to 53.3% (95% CI, 51.5%-55.2%) in the final postintervention quarter (third quarter of 2013) (P < .001). The annual rate of improvement in DTN times of 60 minutes or less increased from 1.36% (95% CI, 1.04%-1.67%) per year preintervention to 6.20% (95% CI, 5.58%-6.78%) per year postintervention (P < .001). In-hospital all-cause mortality improved significantly from the preintervention to the postintervention period (9.93% vs 8.25%, respectively; adjusted odds ratio [OR], 0.89 [95% CI, 0.83-0.94], P < .001), symptomatic intracranial hemorrhage within 36 hours was less likely to occur (5.68% vs 4.68%; adjusted OR, 0.83 [95% CI, 0.76-0.91], P < .001), and discharge to home was more frequent (37.6% vs 42.7%; adjusted OR, 1.14 [95% CI, 1.09-1.19], P < .001). CONCLUSIONS AND RELEVANCE: Implementation of a national quality improvement initiative was associated with improved timeliness of tPA administration following AIS on a national scale, and this improvement was associated with lower in-hospital mortality and intracranial hemorrhage, along with an increase in the percentage of patients discharged home.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".