Markers of left atrial cardiopathy and cognitive function trajectories in adults aged ≥45 years without atrial fibrillation: a population-based study
Bibliographic record
Abstract
INTRODUCTION: The study aims to investigate associations between markers of atrial cardiopathy and cognitive function trajectories in adults without prior AF. METHODS: The study included 4,486 participants from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study. Markers of atrial cardiopathy included atrial premature complexes and N-Terminal pro-Brain Natriuretic Peptide (NT pro-BNP). Cognitive status was measured using the Six-Item Screener (SIS). Cognitive status trajectories were identified using latent class growth models. RESULTS: Three unique cognitive trajectories over the 8-year follow-up were identified: 86.7% showed a normal and stable trajectory of SIS score, 7.6% showed a progressively decreasing trajectory, and 5.7% showed a dramatic decreasing trajectory. Age, black participants, and antidepression drugs were significantly associated with the “dramatic decrease” trajectory. Elevated NT pro-BNP was significantly associated with the “dramatic decrease” trajectory. DISCUSSION: Markers of left atrial cardiopathy may have implications for early diagnosis and prevention of cognitive impairment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".