Pattern of liver enzyme elevations in acute ST-elevation myocardial infarction
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: Liver enzyme elevations occur with ST-segment elevation myocardial infarction (STEMI); however, their significance in the modern era is not well-defined. The incidence of liver enzyme elevations in STEMI, temporal trends, correlations with creatine kinase-MB (CK-MB), and associations with clinical outcomes were evaluated. METHODS: The Complement Inhibition in Myocardial Infarction Treated with Angioplasty and Complement Inhibition in Myocardial Infarction Treated with Thrombolytics trials evaluated 1903 patients with STEMI. A core lab analyzed liver enzymes at baseline, days 1, 6, and 14, and CK-MB measured sequentially over 72 h. The GUSTO model for 30-day mortality was used to predict clinical endpoints. RESULTS: A total of 1783 patients were included in the analysis. Aspartate transaminase (AST) was elevated above the upper limit of normal in 85.6% and alanine transaminase (ALT) was elevated in 48.2% of patients at baseline or day 1. CK-MB area under the curve correlated with maximum AST (r=0.727) and maximum ALT (r=0.456). Both AST and ALT elevations were independent predictors of worse outcomes in multivariable adjusted analysis, even after adjustment for CK-MB. Hazard ratios and 95% confidence intervals of AST elevation were 1.12 (1.05-1.19) for all-cause mortality, and 1.08 (1.02-1.13) for the composite endpoint of death, congestive heart failure, shock, or stroke. Hazard ratios and 95% confidence intervals of ALT elevation were 1.15 (1.04-1.27) for mortality and 1.47 (1.10-1.98) for the composite endpoint. CONCLUSION: AST and ALT elevations are common in STEMI. Both markers are correlated with CK-MB area under the curve, but independently associated with worse mortality and clinical outcomes.
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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) | 0.001 | 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 it