Associations of symptoms and quality of life with outcomes in patients with atrial fibrillation
Bibliographic record
Abstract
OBJECTIVE: We aimed to investigate changes in atrial fibrillation (AF)-related symptoms and quality of life (QoL) over time, and their impact on prognosis. METHODS: We prospectively followed 3836 patients with known AF for a mean of 3.7 years. Information on AF-related symptoms and QoL was obtained yearly. The primary end point was a composite of stroke or systemic embolism. Main secondary end points included stroke subtypes, all-cause mortality, cardiovascular death, hospitalisation for congestive heart failure (CHF), myocardial infarction and major bleeding. We assessed associations using multivariable, time-updated Cox proportional hazards models. RESULTS: Mean age was 72 years, 72% were male. Patients with AF-related symptoms (66%) were younger (70 vs 74 years, p<0.0001), more often had paroxysmal AF (56% vs 37%, p<0.0001) and had lower QoL (71 vs 72 points, p=0.009). The incidence of the primary end point was 1.05 and 1.02 per 100 person-years in patients with and without symptoms, respectively. The multivariable adjusted HR (aHR) (95% CIs) for the primary end point was 1.11 (0.77 to 1.59; p=0.56) for AF-related symptoms. AF-related symptoms were not associated with any of the secondary end points. QoL was not significantly related to the primary end point (aHR per 5-point increase 0.98 (0.94 to 1.03; p=0.37)), but was significantly related to CHF hospitalisations (0.92 (0.90 to 0.94; p<0.0001)), cardiovascular death (0.90 (0.86 to 0.95; p<0.0001)) and all-cause mortality (0.88 (0.86 to 0.90; p<0.0001)). CONCLUSIONS: AF-related symptoms were not associated with adverse outcomes and should therefore not be the basis for prognostic treatment decisions. QoL was strongly associated with CHF, cardiovascular death and all-cause mortality.
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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".