Quantitative troponin and death, cardiogenic shock, cardiac arrest and new heart failure in patients with non-ST-segment elevation acute coronary syndromes (NSTE ACS): insights from the Global Registry of Acute Coronary Events
Bibliographic record
Abstract
BACKGROUND: The objective of this study was to determine if the extent of quantitative troponin elevation predicted mortality as well as in-hospital complications of cardiac arrest, new heart failure and cardiogenic shock. DESIGN: 16,318 patients with non-ST-segment elevation acute coronary syndromes (NSTE ACS) from the Global Registry of Acute Coronary Events (GRACE) were included. The maximum 24 h troponin value as a multiple of the local laboratory upper limit of normal was used. The population was divided into five groups based on the degree of troponin elevation, and outcomes were compared. An adjusted analysis was performed using quantitative troponin as a continuous variable with adjustment for known prognostic variables. RESULTS: For each approximate 10-fold increase in the troponin ratio, there was an associated increase in cardiac arrest, sustained ventricular tachycardia (VT) or ventricular fibrillation (VF) (1.0, 2.4, 3.4, 5.9 and 13.4%; p<0.001 for linear trend), cardiogenic shock (0.5, 1.4, 2.0, 4.4 and 12.7%; p<0.001), new heart failure (2.5, 5.1, 7.4, 11.6 and 15.8%; p<0.001) and mortality (0.8, 2.2, 3.0, 5.3 and 14.0%; p<0.001). These findings were replicated using the troponin ratio as a continuous variable and adjusting for covariates (cardiac arrest, sustained VT or VF, OR 1.56, 95% CI 1.39 to 1.74; cardiogenic shock, OR 1.87, 95% CI 1.61 to 2.18; and new heart failure, OR 1.57, 95% CI 1.45 to 1.71). The degree of troponin elevation was predictive of early mortality (HR 1.61, 95% CI 1.44 to 1.81; p<0.001 for days 0-14) and longer term mortality (HR 1.18, 95% CI 1.07 to 1.30, p=0.001 for days 15-180). CONCLUSION: The extent of troponin elevation is an independent predictor of morbidity and mortality.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".