The effects of atrial fibrillation burden on cognitive function and brain structure
Bibliographic record
Abstract
Abstract Background Atrial fibrillation (AF) has been associated with cognitive impairment and dementia (CID); however, the mechanisms mediating this relationship, and whether the burden of AF is associated with CID, are uncertain. Purpose We hypothesized that the occurrence of CID would be related to a higher burden of AF, potentially through AF-related cerebral perfusion changes. Methods Consecutive AF patients without stroke or neurodegenerative disease who underwent brain MRI were identified from a health system registry. To estimate surrogates of higher and lower levels of AF burden, we classified AF burden into two groups, namely lower (paroxysmal/persistent AF) or higher (longstanding persistent/permanent AF). This classification was validated in a subgroup of 109 patients with quantitative AF burden data (mean AF burden: 88.34% higher vs. 16.5% lower). Brain MRIs were analysed for structural changes associated with CID, including brain atrophy (using a brain atrophy score), white matter hyperintensities (using the Fazekas scale), embolic and lacunar infarcts, cerebral microbleeds (CMB), and cortical superficial siderosis (cSS). To determine CID predictors, a multivariable model was constructed using variables with significant univariable differences (p<0.1) between patients with and without CID. Results Of 834 AF patients, 114 patients (13.7%) had CID. Those with CID were more likely to have a higher AF burden category (44.7% vs 15.3%, p<0.001). In the multivariable model, higher AF burden category (adjusted odds ratio [aOR] 3.33, 95% confidence interval [CI] 2.07-5.35, p<0.001), brain atrophy score (aOR 1.09, 95% CI 1.03-1.16, p=0.005), Fazekas score (aOR 1.36, 95% CI 1.12-1.64, p=0.001), and embolic infarcts (aOR 2.11, 95% CI 1.02-4.34, p=0.045) were associated with CID, while age, sex, CHA2DS2-VASc score, lacunar infarcts, CMBs, cSS, and anticoagulant use were not. Moreover, the higher AF burden category was independently associated with higher brain atrophy scores (β=0.67, 95% CI 0.10-1.24, p=0.022) in a separate multivariable model. Conclusion Higher AF burden is independently associated with CID and brain atrophy. Brain atrophy and embolic infarcts are plausible mechanisms for mediating the effects of AF burden on cognitive impairment. White matter hyperintensities, which are mainly related to cerebral small vessel diseases, also contribute to CID in this population. Whether early and rigorous rhythm control can decrease the risk of cognitive impairment in patients with AF should be tested in randomized controlled trials.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.002 | 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".