P6507Factors associated with troponin elevation and risk of cardiac events in patients with heart failure and preserved ejection fraction
Bibliographic record
Abstract
Background/Introduction: Cardiac troponins (cTn) are frequently elevated in patients with chronic heart failure and reduced ejection fraction (HFrEF) and correlate with the risk for death and HF hospitalization. However, identification of factors associated with elevation of cTn concentrations and our understanding of the association of cTn levels with cardiovascular (CV) events in patients with HF and preserved ejection fraction (HFpEF) are limited. Purpose: To determine the clinical correlates of cTn elevation and the relationship of cTn levels with the risk of specific CV events in patients with HFpEF. Methods: Of 1767 subjects in the TOPCAT trial with symptomatic HFpEF randomized in the Americas, 236 had baseline measurements of high sensitivity troponin I (hs-cTnI) by the Abbott ARCHITECT STAT assay. We identified clinical correlates of hs-cTnI elevation at baseline in multivariable linear regression models and correlated baseline hs-cTnI levels with adjudicated CV outcomes over mean follow-up time of 2.6±1.5 years using multivariable Cox models. Model discrimination was assessed using the Harrell C statistics.
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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 | 0.003 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".