Sacubitril/valsartan compared to ramipril in high risk post myocardial infarction patients stratified according use of mineralocorticoid receptor antagonists: insight from PARADISE MI trial
Bibliographic record
Abstract
Abstract Background Mineralocorticoid receptor antagonists (MRAs) reduce the risk of cardiovascular death or heart failure admission in patients with myocardial infarction (MI) and left ventricular systolic dysfunction (LVSD) combined with either heart failure (HF) or diabetes. Whether use of MRA and initiation of sacubitril/valsartan are safe and whether MRAs modify the effect of sacubitril/valsartan initiation in high-risk MI patients is unknown. Purpose This analysis examined whether background treatment with a MRA modifies the treatment effect and safety of sacubitril/valsartan in patients with a MI and LVSD and/or pulmonary congestion. Methods In the PARADISE MI Trial (Prospective ARNI vs. ACE inhibitor trial to DetermIne Superiority in reducing heart failure Events after Myocardial Infarction) N=5661 patients were randomized to either sacubitril/valsartan (97/103 mg twice daily) or ramipril (5 mg twice daily) within 7 days of their MI. The primary outcome in this analysis was the composite of worsening HF (HF hospitalization or outpatient worsening) or cardiovascular death evaluated by the clinical endpoint committee (CEC-adjudicated) or the investigators. Safety was defined as symptomatic hypotension, hyperkalemia >5.5 mmol/L or permanent drug discontinuation. Results A total of 2338 patients (41%) were treated with an MRA and they were more often Caucasian (79% vs. 73%), had worse left ventricular ejection fraction (34±8 vs. 38±10%), a higher KILLIP Class (63% vs. 55% in class II or more) and a lower estimated Glomerular filtration rate (71 vs. 73 ml/min/1.73 m2), than patients not taking an MRA. Age (63 years), sex (24% females), and frequency of diabetes (42%) did not differ. The treatment effect of sacubitril/valsartan compared with ramipril was similar in patients taking or not taking an MRA: hazard ratio (MRA): (95% confidence interval [CI]): 0.96 (0.77, 1.19) versus (95% CI: 0.87 (0.71, 1.05), respectively, for the primary endpoint (p value for interaction = 0.51) (CEC adjudicated) (Figure 1); similar findings were observed if investigator reported endpoints were evaluated (P=0.61 for interaction). Safety of sacubitril/valsartan compared to ramipril initiation was not changed by +/−MRA use, but an increase in symptomatic hypotension was observed (HR(MRA): 1.37 and HR: 1.39, P<0.001) in both groups (P=0.968 for interaction), whereas an increased risk of hyperkalemia or permanent drug discontinuation was not observed in the sacubitril/valsartan group (P>0.05 for all comparisons). Conclusions As expected, patients taking MRAs had a higher risk. Use of a MRA did not modify the treatment effect and safety of initiation of sacubitril/valsartan compared to ramipril in the post MI setting in patients with LVSD and/or congestion. Our analyses support that sacubitril/valsartan and MRAs can be used simultaneously. Funding Acknowledgement Type of funding sources: Private company. Main funding source(s): Novartis sponsored Randomized clinical trial
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".