Association Between Markers of Atrial Cardiopathy and Cognitive Impairment Risk Among Adults with No Suggestive History of Atrial Fibrillation
Bibliographic record
Abstract
Background: Clinical atrial fibrillation (AF) is often preceded by substantive structural and electrical remodelling, termed atrial cardiopathy. This cohort study aims to investigate associations between markers of atrial cardiopathy and the risk of cognitive impairment among aging adults without a suggestive history or documentation of AF. Methods: This analysis included 21,856 participants from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study who were free of AF and cognitive impairment (2003-2007). Markers of atrial cardiopathy included atrial premature complexes (APCs) and N-terminal pro-brain natriuretic peptide (NT-proBNP). Cognitive status was measured using the 6-item screener. Cox proportional hazards regression was used to examine the association between markers of atrial cardiopathy and risk of cognitive impairment (primary outcome) and stroke during the follow-up period (secondary outcomes), separately. Results: During a mean follow-up of 9.9 years, 6058 participants had incident cognitive impairment, and 876 had a stroke. APCs increased the hazard of cognitive impairment by 8% (hazard ratio [HR], 1.08, 95% confidence interval [CI]: 1.01-1.15) and stroke by 10% (HR, 1.10, 95% CI: 1.04-1.17). The highest NTpro-BNP-level quintile ( > 235.2 pg/mL) increased the hazard of cognitive impairment by 53% (HR, 1.53, 95% CI: 1.36-1.72) and stroke by 54% (HR, 1.54, 95% CI: 1.39-1.71). Conclusions: Markers of left atrial cardiopathy, including presence of APCs and a high level of NT-proBNP, may be associated with an increased risk of cognitive impairment and stroke with no suggestive history or documentation of AF.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".