Abstract 18200: Prognostic Importance of Serial NT-proBNP Measurements Following High-Risk Mi: The PARADISE-MI Trial
Bibliographic record
Abstract
Introduction: N-terminal pro-B-type natriuretic peptide (NT-proBNP) is a potent predictor of heart failure (HF) and death following myocardial infarction (MI). NT-proBNP levels change post MI. Hypothesis: Serial measurements of NT-proBNP add prognostic information. Aims: To investigate the prognostic importance of NT-proBNP two weeks after MI in PARADISE-MI and to identify predictors of week 2 NT-proBNP. Methods: Patients with MI and LVEF ≤40% and/or pulmonary congestion (n=5661) were randomized to sacubitril/valsartan or ramipril. Patients with NT-proBNP measured at week 2 (n=1057) were analyzed. Associations of week 2 NT-proBNP with subsequent clinical outcomes were evaluated with Cox models adjusted for baseline NT-proBNP, age, sex, atrial fibrillation (AF), LVEF, STEMI presentation, BMI, eGFR, high-sensitivity troponin T (hs-cTnT), time from presentation to randomization and treatment assignment. Results: Median NT-proBNP was 1425 [685, 2598] ng/L at week 2, declining 23% (95% CI, 20-26%) from baseline. Patients in the highest NT-proBNP quartile at week 2 (≥2616 ng/L) were older, had lower LVEF and eGFR, higher Killip class, more AF, and higher baseline NT-proBNP (all p≤0.05). Higher NT-proBNP at week 2 was independently associated with greater risk of CV death or incident HF (adjusted HR [aHR] 1.62 per log2; 95% CI, 1.30-2.03), HF hospitalization (aHR 1.96; 95% CI, 1.46-2.62) and all-cause death (aHR 1.86; 95% CI, 1.40-2.47). Higher baseline NT-proBNP and hs-cTnT, longer interval between presentation and randomization and female sex were associated with higher week 2 NT-proBNP levels while sacubitril/valsartan was associated with lower levels (Table). Conclusions: Patients with elevated NT-proBNP two weeks after high-risk MI are at greater risk of subsequent death or incident HF, even after adjusting for baseline level. Higher baseline NT-proBNP and hs-cTnT are predictive of higher week 2 NT-proBNP while sacubitril/valsartan decreases levels.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".