Heart Failure with Preserved Ejection Fraction, Red Cell Distribution Width, and Sacubitril/Valsartan
Bibliographic record
Abstract
AIMS: Red cell distribution width (RDW) is a strong prognostic marker in patients with heart failure (HF) and reduced ejection fraction and other conditions. However, very little is known about its prognostic significance in HF with preserved ejection fraction. We examined the relationship between RDW and outcomes and the effect of sacubitril/valsartan, compared with valsartan, on RDW and clinical outcomes in PARAGON-HF. METHODS AND RESULTS: PARAGON-HF enrolled patients with a left ventricular ejection fraction of ≥45%, structural heart disease, and elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP). The primary endpoint was a composite of total HF hospitalizations and cardiovascular deaths. Median RDW at randomization was 14.1% (interquartile range 13.5-15.0%). Patients with higher RDW levels were more often men and had more comorbidity, a higher heart rate and NT-proBNP concentration, more advanced New York Heart Association class, and worse Kansas City Cardiomyopathy Questionnaire scores. There was a graded relationship between quartiles of RDW at randomization and the primary endpoint, with a significantly higher risk associated with increasing RDW, even after adjustment for NT-proBNP and other prognostic variables {Quartile 1, reference; Quartile 2, rate ratio 1.03 [95% confidence interval (CI) 0.83 to 1.28]; Quartile 3, 1.25 [1.01 to 1.54]; Quartile 4, 1.70 [1.39 to 2.08]}. This association was seen for each of the secondary outcomes, including cardiovascular and all-cause death. Compared with valsartan, sacubitril/valsartan reduced RDW at 48 weeks [mean change -0.09 (95% CI -0.15 to -0.02)]. The effect of sacubitril/valsartan vs. valsartan was not significantly modified by RDW levels at randomization. CONCLUSIONS: RDW, a routinely available and inexpensive biomarker, provides incremental prognostic information when added to established predictors. Compared with valsartan, sacubitril/valsartan led to a small reduction in RDW.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".