Importance of persistent elevation of cardiac biomarkers in atrial fibrillation: a RE-LY substudy
Bibliographic record
Abstract
OBJECTIVES: To evaluate the prognostic importance of transient or persistent elevations of cardiac troponin-I (cTnI) and N-terminal-B-type natriuretic peptide (NT-proBNP) in atrial fibrillation (AF). METHODS: Plasma samples were obtained at randomisation and after 3 months in 2514 patients with AF in the RE-LY trial; median follow-up was 2.0 years. Patients were grouped based on levels at the two time points according to detectable cTnI levels (≥0.01 µg/L) or NT-proBNP levels above median (≥778 ng/L). These groups were related to occurrence of stroke or cardiovascular events evaluated with Cox models adjusting for established risk factors. RESULTS: The proportion of patients with detectable cTnI levels at both time points was 48.5%, at one time point 28.5% and at neither time point 21.0%. Patients with detectable cTnI at both time points had substantially higher rates of stroke compared with those with transient elevations and those with no elevation at either time point (p<0.005, effect of cTnI). Persistent elevation of either or both cardiac biomarkers at baseline and 3 months was associated with a higher risk for cardiovascular events and mortality (p<0.0001). Prognostic prediction improved most with the use of repeated measurements of both cardiac biomarkers simultaneously (p<0.05) and achieved C-statistic 0.644 for stroke compared with 0.611 for CHADS2-score. CONCLUSIONS: Persistent elevation of troponin and NT-proBNP indicates a worse prognosis than transient elevations or no elevations of either marker. Prognostication of stroke, death and thromboembolic events is improved by the use of repeated determinations of cardiac biomarkers. TRIAL REGISTRATION NUMBER: http://www.clinicaltrials.gov, NCT00262600.
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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 | 0.001 | 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".