Role of the renin-angiotensin-aldosterone system in atrial fibrillation and cardiac remodeling.
Bibliographic record
Abstract
PURPOSE OF REVIEW: This review summarizes recent clinical trial evidence showing a reduction in the development and recurrence of atrial fibrillation with angiotensin-converting enzyme (ACE) inhibitors and angiotensin receptor-blocking agents (ARBs). It then explores the possible mechanisms for this effect based on current animal models and limited human study. RECENT FINDINGS: Post hoc analyses of trials in patients with heart failure, hypertension, or myocardial infarction have observed reductions in atrial fibrillation among patients treated with ACE inhibitors or ARBs. Recent studies of these agents in animal models of atrial fibrillation suggest that they may prevent atrial fibrillation by reversing the cardiac structural and electrical changes, known as cardiac remodeling, that lead to the development of atrial fibrillation. This concept is also supported by two prospective studies showing that ACE inhibitors and ARBs prevent the recurrence of atrial fibrillation after electrical cardioversion. SUMMARY: Inhibition of the renin-angiotensin-aldosterone system is a novel concept for the treatment of atrial fibrillation that may target the underlying substrate of atrial fibrillation. Further human research is required to determine whether ACE inhibitors and ARBs prevent atrial fibrillation, and if so, whether this is a result of blood pressure lowering alone or a specific effect of these agents. Ongoing research will establish whether ACE inhibitors or ARBs have specific benefits in patients with atrial fibrillation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".