Left Ventricular Function, Congestion, and Effect of Empagliflozin on Heart Failure Risk After Myocardial Infarction
Bibliographic record
Abstract
BACKGROUND: Empagliflozin reduces the risk of heart failure (HF) hospitalizations but not all-cause mortality when started within 14 days of acute myocardial infarction (AMI). OBJECTIVES: This study sought to evaluate the association of left ventricular ejection fraction (LVEF), congestion, or both, with outcomes and the impact of empagliflozin in reducing HF risk post-AMI. METHODS: In the EMPACT-MI (Trial to Evaluate the Effect of Empagliflozin on Hospitalization for Heart Failure and Mortality in Patients with Acute Myocardial Infarction) trial, patients were randomized within 14 days of an AMI complicated by either newly reduced LVEF<45%, congestion, or both, to empagliflozin (10 mg daily) or placebo and were followed up for a median of 17.9 months. RESULTS: Among 6,522 patients, the mean baseline LVEF was 41 ± 9%; 2,648 patients (40.6%) presented with LVEF <45% alone, 1,483 (22.7%) presented with congestion alone, and 2,181 (33.4%) presented with both. Among patients in the placebo arm of the trial, multivariable adjusted risk for each 10-point reduction in LVEF included all-cause death or HF hospitalization (HR: 1.49; 95% CI: 1.31-1.69; P < 0.0001), first HF hospitalization (HR: 1.64; 95% CI: 1.37-1.96; P < 0.0001), and total HF hospitalizations (rate ratio [RR]: 1.89; 95% CI: 1.51-2.36; P < 0.0001). The presence of congestion was also associated with a significantly higher risk for each of these outcomes (HR: 1.52, 1.94, and RR: 2.03, respectively). Empagliflozin reduced the risk for first (HR: 0.77; 95% CI: 0.60-0.98) and total (RR: 0.67; 95% CI: 0.50-0.89) HF hospitalizations, irrespective of LVEF or congestion, or both. The safety profile of empagliflozin was consistent across baseline LVEF and irrespective of congestion status. CONCLUSIONS: In patients with AMI, the severity of left ventricular dysfunction and the presence of congestion was associated with worse outcomes. Empagliflozin reduced first and total HF hospitalizations across the range of LVEF with and without congestion. (Trial to Evaluate the Effect of Empagliflozin on Hospitalization for Heart Failure and Mortality in Patients with Acute Myocardial Infarction [EMPACT-MI]; NCT04509674).
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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 | 0.003 |
| 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".