Correlates and prognostic impact of new-onset heart failure after ST-segment elevation myocardial infarction treated with primary percutaneous coronary intervention: insights from the INFUSE-AMI trial
Bibliographic record
Abstract
BACKGROUND: The determinants and significance of early (30-day) heart failure symptoms after primary percutaneous coronary intervention for ST-segment elevation myocardial infarction (STEMI) remain unclear. We investigated the clinical and imaging correlates of early post-discharge heart failure in patients with STEMI, and evaluated its impact on clinical outcomes. METHODS: Patients from the INFUSE-AMI trial were categorized according to New York Heart Association (NYHA) functional classification at their 30-day visit (NYHA class ≥2 versus 1). Independent correlates of NYHA class ≥2 were determined by multivariable logistic regression. A landmark analysis beyond 30 days was performed to assess the impact of 30-day NYHA class ≥2 on 1-year risk of death or hospitalization for heart failure. RESULTS: Among 402 patients enrolled in the INFUSE-AMI trial with data on NYHA class at 30 days, 76 (18.9%) had NYHA class ≥2. Independent correlates of 30-day NYHA class ≥2 were age, Killip class ≥2 at presentation, heart rate at presentation, intraprocedural no-reflow, and 30-day infarct size (% total ventricular mass). After adjustment for infarct size, patients with NYHA class ≥2 remained at higher risk of death or hospitalization for heart failure at 1-year follow-up compared to those in NYHA class 1 (11.8% vs. 2.8%, adjusted hazard ratio 3.78, 95% confidence interval 1.16-12.22, P=0.03). CONCLUSIONS: Clinical, procedural, and imaging variables predict the development of clinical heart failure after primary percutaneous coronary intervention in patients with STEMI. Early post-discharge heart failure symptoms identify a high-risk patient cohort for subsequent heart failure hospitalization and death, independent of infarct size. TRIAL REGISTRATION: ClinicalTrials.gov ; NCT00976521.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".