Angiotensin-Neprilysin Inhibition in Patients With Mildly Reduced or Preserved Ejection Fraction and Worsening Heart Failure
Bibliographic record
Abstract
BACKGROUND: U.S. guidelines recommend consideration of sacubitril/valsartan in chronic heart failure (HF) and mildly reduced or preserved ejection fraction (EF). Whether initiation is safe and effective in EF >40% after a worsening heart failure (WHF) event is unknown. OBJECTIVES: PARAGLIDE-HF (Prospective comparison of ARNI with ARB Given following stabiLization In DEcompensated HFpEF) assessed sacubitril/valsartan vs valsartan in EF >40% following a recent WHF event. METHODS: PARAGLIDE-HF is a double-blind, randomized controlled trial of sacubitril/valsartan vs valsartan in patients with EF >40% enrolled within 30 days of a WHF event. The primary endpoint was time-averaged proportional change in amino terminal pro-B-type natriuretic peptide (NT-proBNP) from baseline through Weeks 4 and 8. A secondary hierarchical outcome (win ratio) consisted of: 1) cardiovascular death; 2) HF hospitalizations; 3) urgent HF visits; and 4) change in NT-proBNP. RESULTS: In 466 patients (233 sacubitril/valsartan; 233 valsartan), time-averaged reduction in the NT-proBNP was greater with sacubitril/valsartan (ratio of change: 0.85; 95% CI: 0.73-0.999; P = 0.049). The hierarchical outcome favored sacubitril/valsartan but was not significant (unmatched win ratio: 1.19; 95% CI: 0.93-1.52; P = 0.16). Sacubitril/valsartan reduced worsening renal function (OR: 0.61; 95% CI: 0.40-0.93) but increased symptomatic hypotension (OR: 1.73; 95% CI: 1.09-2.76). There was evidence of a larger treatment effect in the subgroup with EF ≤60% for NT-proBNP change (0.78; 95% CI: 0.61-0.98) and the hierarchical outcome (win ratio: 1.46; 95% CI: 1.09-1.95). CONCLUSIONS: Among patients with EF >40% stabilized after WHF, sacubitril/valsartan led to greater reduction in plasma NT-proBNP levels and was associated with clinical benefit compared with valsartan alone, despite more symptomatic hypotension. (Prospective comparison of ARNI with ARB Given following stabiLization In DEcompensated HFpEF; NCT03988634).
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".