P1876Atrial fibrillation related symptoms and cardiovascular outcomes
Bibliographic record
Abstract
Abstract Background Comprehensive information on the impact of atrial fibrillation (AF)-related symptoms and quality of life (QoL) on adverse outcomes is sparse. Purpose We aimed to investigate whether AF-related symptoms and/or QoL are associated with cardiovascular outcomes in a large cohort of AF patients. Methods A total of 3902 participants with documented AF from two nationwide prospective cohort studies in Switzerland were included. Information on AF-related symptoms was assessed yearly by standardized questionnaires, QoL was quantified using a visual analog scale (0–100, with higher scores indicating better QoL). The primary endpoint was a composite of stroke and systemic embolism. The secondary endpoint was a composite of cardiovascular death, hospitalization for heart failure and myocardial infarction. We assessed associations using multivariable, time-updated Cox proportional-hazards models including age, sex, study cohort, history of heart failure, hypertension, diabetes, prior stroke, prior myocardial infarction, vascular disease and prior catheter ablation for AF as covariates. Results Mean age was 72 years, and 72% were male. The median QoL score was 75 points, and 2572 (66%) participants had AF-related symptoms. Symptomatic individuals were younger (71 vs 75 years) and had more often paroxysmal AF (29 vs 23%) (p for both <0.001). The most frequent symptoms were palpitations (42%), dyspnea (25%) and fatigue (18%). In multivariable, time-updated models, the hazard ratio (HR) was 1.24 (95% confidence intervals (CI) 0.72; 2.11, p=0.43) for the primary endpoint and HR 0.83 (95% CI 0.65; 1.06, p=0.14) for the secondary endpoint in symptomatic vs non-symptomatic individuals. There was a significant, inverse association for a 5-point increase in the QoL score with both the primary (HR 0.94 (95% CI 0.88; 0.99), p=0.04) and secondary (HR 0.91 (95% CI 0.88; 0.93), p<0.0001) endpoints. Conclusions AF-related symptoms are not associated with adverse cardiovascular events in AF patients. In contrast, QoL is inversely associated with to adverse cardiovascular outcomes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.008 | 0.001 |
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".