Catheterization Laboratory Activation Time in Patients Transferred With ST-Segment–Elevation Myocardial Infarction: Insights From the Mission: Lifeline STEMI Accelerator-2 Project
Bibliographic record
Abstract
BACKGROUND: Catheterization laboratory (cath lab) activation time is a newly available process measure for patients with ST-segment-elevation myocardial infarction requiring inter-hospital transfers for primary percutaneous coronary intervention that reflects inter-facility communication and urgent mobilization of interventional laboratory resources. Our aim was to determine whether faster activation is associated with improved reperfusion time and outcomes in the American Heart Association Mission: Lifeline Accelerator-2 Project. METHODS AND RESULTS: From April 2015 to March 2017, treatment times of 2063 patients with ST-segment-elevation myocardial infarction requiring inter-hospital transfer for primary percutaneous coronary intervention from 12 regions around the United States were stratified by cath lab activation time (first hospital arrival to cath lab activation within [timely] or beyond 20 minutes [delayed]). Median cath lab activation time was 26 minutes, with a delayed activation observed in 1241 (60.2%) patients. Prior cardiovascular or cerebrovascular disease, arterial hypotension at admission, and black or Latino ethnicity were independent factors of delayed cath lab activation. Timely cath lab activation patients had shorter door-in door-out times (40 versus 68 minutes) and reperfusion times (98 versus 135 minutes) with 80.1% treated within the national goal of ≤120 minutes versus 39.0% in the delayed group. CONCLUSIONS: Cath lab activation within 20 minutes across a geographically diverse group of hospitals was associated with performing primary percutaneous coronary intervention within the national goal of ≤120 minutes in >75% of patients. While several confounding factors were associated with delayed activation, this work suggests that this process measure has the potential to direct resources and practices to more timely treatment of patients requiring inter-hospital transfer for primary percutaneous coronary intervention.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".