Times to Treatment in Patients Undergoing Primary Percutaneous Coronary Intervention at Laval Hospital
Bibliographic record
Abstract
Background:Current guidelines for ST-elevation myocardial infarction (STEMI) recommend performing primary percutaneous coronary intervention (PCI) within 90 min of hospital arrival. However, recent data suggest that, in a real-world setting, median door-to-balloon (DTB) time is closer to 180 minfor transferred patients with no more than 4 % of patients treated within 90 min. We conducted this retrospective observational study to assess time to treatment in patients undergoing primary PCI at Quebec Heart and Lung Institute (QHLI). Methods: Consecutive lytic-eligible patients undergoing primary PCI at QHLI for STEMI between April 2004 and March 2004 were included in the present analysis. The primary evaluation was DTB time measured from arrival at the first hospital to first balloon inflation. Clinical outcomes consisted of in-hospital death, reinfarction and bleeding. DTB times and hospital outcomes of patients transferred from referring hospitals were compared to patients presenting directly to QHLI. Results: During the study period, 203 lytic-eligible patients were treated with primary PCI and included in the present analysis. Sixty-nine patients presented directly to QHLI and 134 were transferred from other Quebec City hospitals. The median DTB time was 114 min in transferred patients, compared with 87 min for patients presenting directly to QHLI [P < 0.001]. DTB time was
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".