Aspirin Use and Outcomes in a Community-Based Cohort of 7352 Patients Discharged After First Hospitalization for Heart Failure
Bibliographic record
Abstract
BACKGROUND: The safety of aspirin in heart failure (HF) has been called into question, particularly in those patients (1) without coronary disease, (2) with renal dysfunction, or (3) treated with low-dose angiotensin-converting enzyme (ACE) inhibitors and high-dose aspirin. METHODS AND RESULTS: We examined prescription patterns and outcomes (all-cause mortality and/or HF readmission) in patients discharged from 103 Canadian hospitals between April 1999 and March 2001 after a first hospitalization for HF. Of 7352 patients with HF (mean age, 75 years; 44% without coronary disease and 29% with renal dysfunction), 2785 (38%) died or required HF readmission within the first year. Compared with nonusers, aspirin users were no more likely to die or require HF readmission (hazard ratio [HR], 1.02 [0.91 to 1.16]), even in patients without coronary disease (HR, 0.98 [0.78 to 1.22]) or patients with renal dysfunction (HR, 1.13 [0.94 to 1.36]). On the other hand, users of ACE inhibitors were less likely to die or require HF readmission (HR, 0.87 [0.79 to 0.96]), even if they were using aspirin (HR, 0.86 [0.77 to 0.95]). There were no dose-dependent interactions between aspirin and ACE inhibitors. CONCLUSIONS: In this observational study, aspirin use was not associated with an increase in mortality rates or HF readmission rates, and aspirin did not attenuate the benefits of ACE inhibitors, even in patients without coronary disease, patients with renal dysfunction, or patients treated with high-dose aspirin and low-dose ACE inhibitors.
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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".