History of Atrial Fibrillation as a Risk Factor in Patients With Heart Failure and Preserved Ejection Fraction
Bibliographic record
Abstract
BACKGROUND: Atrial fibrillation (AFib) is common in heart failure (HF) with preserved ejection fraction (HFpEF). Current AFib stroke risk prediction models include the presence of HF but do not specifically include HFpEF as a risk factor. Whether a history of AFib should be used to identify patients with HFpEF who are at risk has not been established. METHODS AND RESULTS: Baseline characteristics and outcomes of patients with HFpEF in the Irbesartan in Heart Failure with Preserved Ejection Fraction Trial were analyzed in relation to AFib. At baseline, 1209 (29.3%) had a history of AFib. Of these 557 (13.5%) had history of AFib alone, whereas 670 (16.2%) had both a history and AFib on ECG; 2901 (70.3%) had neither. There were no significant differences in the risk of stroke between the 2 groups with a history of AFib who did or did not have AFib present on baseline ECG. During a median follow-up of 53 months, a fatal or nonfatal stroke occurred in 6.5% (79/1209) patients with history of AFib compared with 3.9% (114/2901) with no AFib. Having a history of AFib was independently associated with higher risk of stroke (hazard ratio, 2.2; 95% confidence interval, 1.6-3.2; P<0.0001) compared with those with no history of AFib. CONCLUSIONS: In patients with HFpEF, a history of AFib was common and independently associated with increased risk of stroke, regardless of whether AFib was present on ECG. Patients with HFpEF and a history of AFib should be considered at risk. Further studies are needed to determine whether this risk can be safely reduced. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT000095238.
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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".