Transfer Times and Outcomes in Patients With ST-Segment–Elevation Myocardial Infarction Undergoing Interhospital Transfer for Primary Percutaneous Coronary Intervention
Bibliographic record
Abstract
BACKGROUND: Transfer delays for primary percutaneous coronary intervention may increase mortality in patients with ST-segment-elevation myocardial infarction. We examined the association between door 1-to-door 2 (D1D2) time, a measure capturing the entire transfer process, and outcomes in patients undergoing interhospital transfer for primary percutaneous coronary intervention. METHODS AND RESULTS: We evaluated the relationship between D1D2 time and the 90-day incidence of death, shock, and heart failure in the subset of 2075 (36.1%) of 5745 patients who underwent interhospital transfer for primary percutaneous coronary intervention in the Assessment of Pexelizumab in Acute Myocardial Infarction trial. There was no significant difference in the 90-day incidence of death, shock, and heart failure between the transferred and the nontransferred groups (10.3% versus 10.2%; P = 0.89). The median difference in symptom-to-balloon time between the 2 groups was 45 minutes (229 versus 184; P<0.001). The primary outcome per 30-minute delay was higher for patients with a D1D2 time ≤150 minutes (hazard ratio, 1.19: 95% confidence interval, 1.06 to 1.33; P = 0.004) but not for D1D2 times >150 minutes (hazard ratio, 0.99: 95% confidence interval, 0.96 to 1.02; P = 0.496). The association between longer D1D2 time and worsening outcome was no longer statistically significant after multivariable adjustment. CONCLUSIONS: Longer transfer times were associated with higher rate of death, shock, and heart failure among patients undergoing interhospital transfer from primary percutaneous coronary intervention, although this difference did not persist after adjusting for baseline characteristics.
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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 | 0.005 |
| 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 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".