Mineralocorticoid Receptor Antagonist Initiation During Admission is Associated with Improved Outcomes Irrespective of Ejection Fraction in Patients with Acute Heart Failure
Bibliographic record
Abstract
AIMS: Heart failure (HF) guidelines recommend initiation and optimization of guideline-directed medical therapy, including mineralocorticoid receptor antagonists (MRAs), before hospital discharge. However, scientific evidence for this recommendation is lacking. Our objective was to determine whether initiation of MRA prior to hospital discharge is associated with improved outcomes. METHODS AND RESULTS: We performed a secondary analysis of 6197 patients enrolled in the RELAX-AHF-2 study. Patients were divided into four groups according to MRA therapy at baseline and discharge. At baseline 30% of patients received MRA therapy, which increased to 50% of patients at discharge. In-hospital initiation of an MRA was observed in 1690 (27%) patients, 1438 (23%) patients remained on MRA therapy, 418 (7%) patients discontinued MRA treatment, and 2651 (43%) patients did not receive an MRA during hospital stay. Compared with patients who did not receive MRA therapy, in-hospital initiation of an MRA was independently associated with lower risks of mortality (multivariable hazard ratio [HR] 0.76, 95% confidence interval [CI] 0.60-0.96; p = 0.02), cardiovascular death (HR 0.77, 95% CI 0.59-1.01; p = 0.06), hospitalization for HF or renal failure (HR 0.72, 95% CI 0.60-0.86; p = 0.0003) and the composite endpoint of cardiovascular death and/or rehospitalization for HF or renal failure (HR 0.71, 95% CI 0.61-0.83; p < 0.0001) at 180 days. These results were independent of baseline left ventricular ejection fraction. CONCLUSION: In patients hospitalized for acute HF, in-hospital initiation of an MRA was associated with improved post-discharge outcomes, independent of left ventricular ejection fraction and other potential confounders.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".