Enalapril effects on atrial remodeling and atrial fibrillation in experimental congestive heart failure
Bibliographic record
Abstract
OBJECTIVE: Atrial remodeling contributes to the maintenance of atrial fibrillation (AF) in several cardiac disorders. There is evidence that angiotensin-converting enzyme (ACE) inhibitors reduce the prevalence of AF in patients with congestive heart failure (CHF). There have been no studies performed to assess the effects of ACE inhibitors on atrial dimensions and emptying function in relationship to vulnerability to AF in the setting of experimental CHF. METHODS: CHF was produced in 20 dogs by rapid right ventricular pacing during 5 weeks. The dogs were randomized to enalapril (EN) therapy (2 mg/kg/day, n=10) or to a control group (n=10). Echocardiography was performed at baseline and weekly thereafter. At the 5-week electrophysiological study, AF was induced by burst pacing and AF duration was measured. RESULTS: Atrial areas increased significantly with CHF. Left atrial (LA) fractional area shortening (FAS) decreased by 42% (P=0.0001) in controls but by 9% (P=NS) in the EN group (P=0.01, EN vs. controls). Similar findings were observed for right atrial (RA) changes (P=0.02). Atrial fibrosis was highly correlated with the decrease in LA FAS (r=0.85, P<0.01) and was reduced by EN (from 11.2+/-1.6 to 8.3+/-0.7%, P=0.008). AF duration was 720+/-461 s for controls and 138+/-83 s for EN (P=0.001). LA and RA areas and FAS at 5 weeks correlated with AF duration (P< or =0.001 for all). FAS decrease in both atria also correlated with AF duration at follow-up (r=0.78 and 0.77 for LA and RA, P< or =0.001 for both). CONCLUSIONS: Experimental CHF causes structural and functional abnormalities in both atria, which are correlated with AF duration. ACE inhibition attenuates CHF-induced atrial fibrosis and remodeling and reduces associated AF promotion. These results indicate a role for the renin-angiotensin system in arrhythmogenic atrial structural remodeling in CHF.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".