Outcome in myocardial infarction is related to the morphologic pattern of ST elevation
Bibliographic record
Abstract
We analyzed 446 consecutive patients (age 61.9 ± 13.8 years, 76.5% male) admitted in the first 12 hours of STEMI to our coronary unit. Exclusion criteria were left bundle branch block at admission or previous myocardial infarction. Most patients (87%) were treated with primary angioplasty. Patients treated with thrombolytics and with early reperfusion criteria were programmed to coronary angiography the following day. Two groups were defined according to the presence of ST-segment elevation (STE) together with distortion of the terminal portion of the QRS in two or more adjacent leads (group 1) or the absence of this pattern (group 2) (Figure 1 ). Figure 1 There were 102 (22.8%) patients in group 1 and 344 (77.2%) in group 2. No differences in age or risk factors were seen between both groups. The number of diseased vessels was similar. Group 1 had higher CK, MB-CK and cardiac troponin I. The maximal Killip class was >2 during hospitalisation in 38% of group 1 vs 24% ( P = 0.009). Group 1 had more mortality (8.8% vs 2.6%, P = 0.005) and more cardiogenic shock. Other ECG characteristics related to mortality were the sum of STE in all leads, the number of leads with STE and ST segment depression. After a logistic regression analysis including all ECG characteristics, the pattern of group 1 remained significantly related to mortality ( P = 0.013) together with the number of leads with STE. The initial STE pattern is useful in detecting patients at higher risk of death or cardiogenic shock, despite the adequate revascularization therapy in STEMI.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".