P3569Impact of body mass index in newly diagnosed atrial fibrillation in the GARFIELD-AF registry
Bibliographic record
Abstract
Purpose: To analyze the association of body mass index (BMI) with comorbidities and outcomes of patients with newly diagnosed atrial fibrillation (AF) and ≥1 stroke risk factor. Methods: 28,628 patients were enrolled from Mar 2010 to Oct 2014 in the prospective GARFIELD-AF registry. BMI data were available for 22,541 patients, stratified as: underweight (3.2%), normal (25.3%), overweight (40.2%), obese (20.1%), and morbidly obese (11.1%). Results: Increasing BMI was associated with younger age and higher rates of hypertension, hypercholesterolemia, type 2 diabetes, coronary artery disease, and CHF. Underweight patients had the highest prevalence of prior stroke/TIA, bleeding, and moderate-to-severe CKD (Table). The proportion of patients with NYHA class III/IV CHF was similar in both morbidly obese and underweight patients. Obese (vs underweight) patients were more likely to receive oral anticoagulants (67.2% vs 53.2%). Crude 2-yr all-cause mortality per 100 person-years (95% CI) was 8.71 (7.20, 10.53) in underweight, 4.50 (4.10, 4.93) normal, 3.13 (2.77, 3.53) obese, and 2.88 (2.35, 3.53) in the morbidly obese (BMI 35-<40 kg/m2). The poorer outcomes in underweight patients persisted after adjustment for baseline factors (figure). Half of deaths in the underweight vs 36.2% in patients with BMI ≥40 kg/m2 were due to non-cardiovascular events.
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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 | 0.001 | 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".