Association of cardiac rhythm with cognitive performance in atrial fibrillation patients
Bibliographic record
Abstract
Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): Swiss National Science Foundation, Swiss Heart Foundation, Background Atrial fibrillation (AF) is strongly associated with an increased risk of cognitive decline and dementia. AF-induced cerebral hypoperfusion, caused by loss of atrial contraction and RR interval variation, is discussed as one possible underlying mechanism. However, the short-term association between heart rhythm and cognitive performance is not clear. Here, we aimed to investigate the association of rhythm (AF vs. sinus rhythm, SR) with cognitive performance in AF patients. Methods We enrolled patients from a prospective, multicenter cohort study. At study visits, patients underwent 5-minute resting ECG recordings and extensive cognitive testing including the Montreal Cognitive Assessment (MoCA) and cognitive construct score (CoCo). Multivariable adjusted mixed effect linear regression models were used to investigate the association between acute heart rhythm on ECG (AF vs. SR) and cognitive performance. Further, we investigated the association between heart rhythm and the Geriatric Depression Score (GDS) as well as the European Quality of Life Visual Analogue Scale (EQ-VAS 100). Results 5206 ECGs from 1648 AF patients were available for analysis. 46% of ECGs were in AF. Mean age of the patients was 72 years and 27% were females. After adjustment for pre-defined covariables, we did not identify an independent association between heart rhythm (AF vs. SR) and cognitive performance in any test. However, patients with present AF on ECG had reported worse GDS and EQ-VAS 100 scores. Conclusion In our large cohort of AF patients, there was no acute association between heart rhythm (AF or SR) and cognitive performance.
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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 | 0.000 | 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".