Angiotensin-Converting Enzyme Inhibitor Therapy Effects in Patients With Heart Failure With Preserved and Mid-Range Ejection Fraction
Bibliographic record
Abstract
BACKGROUND: There is hypothesis that endothelial function enhancement is strongly associated with better outcome and functional class improvement in heart failure with preserved ejection fraction (HFpEF) and heart failure with mid-range ejection fraction (HFmrEF) patients. Perindopril is the only angiotensin-converting enzyme inhibitor (ACEI) drug with proven positive effect on the endothelium in coronary artery disease (CAD) patients. In patients with HFpEF and HFmrEF, its impact is still unknown. The aim of this study was to assess perindopril's influence on endothelial dysfunction markers in these groups of patients. METHODS: We included 60 patients with HFpEF and HFmrEF. At the baseline, endothelial dysfunction biomarkers were measured by IFA and echocardiographic parameters (left atrial volume index (LAVI), ejection fraction (EF), left ventricular mass index (LVMI), left ventricular end-diastolic diameter (LVEDD), and left ventricular end-diastolic volume (LVEDV)) were studied. In patients with no history of previous ACEI or angiotensin II receptor blockers (ARBs) therapy, perindopril was prescribed for 12 months. If patient was treated with ARB or ACEI drug other than perindopril before the study, after 48-h withdrawal period, previous drug was replaced by perindopril. RESULTS: After 12-month therapy with perindopril, E-selectin decreased from 57.25 to 46.05 ng/mL and from 56.55 to 47.6 ng/mL in HFpEF and HFmrEF patients, respectively (P < 0.05). Significant reductions from 0.99 to 0.76 pg/mL (P < 0.05) and from 1.08 to 0.97 pg/mL (P < 0.05) in endothelin-1 level were shown in patients with HFpEF and HFmrEF. CONCLUSION: The 12-month therapy with perindopril leads to LAVI reduction in HFmrEF patients and potential endothelial dysfunction markers decrease in HFpEF and HFmrEF patients.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".