Symptom severity is associated with cardiovascular outcome in patients with permanent atrial fibrillation in the RACE II study
Bibliographic record
Abstract
AIMS: Symptoms and symptom burden have a central place in diagnosis and management of atrial fibrillation (AF). The aim of the present study is to investigate whether severity of AF symptoms impacts prognosis in permanent AF. METHODS AND RESULTS: We studied the relation between AF symptom severity [quantified with the Toronto AF Severity Scale (AFSS)] and cardiovascular outcome in patients included in the RACE II study. The primary endpoint was a composite of cardiovascular morbidity and mortality. Secondary outcome was cardiovascular hospitalizations. Of 614 permanent AF patients in RACE II, AFSS questionnaires were available in 558 patients (91%). Mean age was 68 ± 8 years. One hundred and seventy-four patients (31%) reported a low score (score 0-3; lowest tertile), 190 patients (34%) reported a moderate score (score 4-9; middle tertile), and 194 (35%) reported a high score (score 10-35; highest tertile). Patients with the most severe symptoms were more often women, had higher N-terminal prohormone of brain natriuretic peptide concentrations, and had more previous heart failure hospitalizations. Median follow-up was 3.0 (interquartile range 2.3-3.0) years. The primary endpoint occurred most frequently in the highest tertile of the AFSS [16 (9%), 19 (10%), 36 (19%), respectively, P = 0.01], being mainly driven by heart failure hospitalizations [4 (2%), 1 (1%), 16 (8%), respectively, P < 0.001]. After multivariable adjustment, higher AFSS scores were associated with the primary endpoint [hazard ratio 1.38 (1.15-1.66), P = 0.001], as well as with cardiovascular hospitalizations [hazard ratio 1.33 (1.14-1.54), P < 0.001]. CONCLUSION: In permanent AF, after multivariable adjustment, symptom severity is associated with cardiovascular outcome.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".