The ‘obesity paradox’ in atrial fibrillation: observations from the ARISTOTLE (Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation) trial
Bibliographic record
Abstract
AIMS: The prognostic implication of adiposity on clinical outcomes in atrial fibrillation (AF) patients treated with oral anticoagulation is unclear. METHODS AND RESULTS: ). Waist circumference (WC) was defined as high if >102 cm for men and >88 cm in women. Outcomes were stroke or systemic embolism, a composite endpoint (stroke, systemic embolism, myocardial infarction, or all-cause mortality), all-cause mortality, and major bleeding. Cox models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) across categories of BMI and WC adjusting for established risk factors and treatment allocation. At baseline, 4052 (22.6%) patients had a normal BMI, 6702 (37.4%) were overweight, and 7159 (40.0%) were obese. In multivariable analyses, higher BMI was associated with a lower risk of all-cause mortality [overweight: HR 0.67 (95% CI 0.59-0.78); obese: HR 0.63 (95% CI 0.54-0.74), P < 0.0001] and the composite endpoint [overweight: HR 0.74 (95% CI 0.65-0.84); obese: HR 0.68 (95% CI 0.60-0.78), P < 0.0001] compared with normal BMI. In women, high WC was associated with a 31% lower risk of all-cause mortality (P = 0.001), 27% lower risk of the composite endpoint (P = 0.001), and 28% lower risk of stroke or systemic embolism (P = 0.048) but not in men. There was no significant association between adiposity and major bleeding. CONCLUSION: In patients with AF treated with oral anticoagulants, higher BMI and WC are associated with a more favourable prognosis.
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 | 0.002 | 0.001 |
| 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".