Abstract 14277: Serum Nt-prob-type Natriuretic Peptide is Associated With Coronary Microvascular Dysfunction in Patients With Angina and Non-obstructive Coronary Artery Disease
Bibliographic record
Abstract
Title: Serum NT-proB-type Natriuretic Peptide is associated with Coronary Microvascular Dysfunction in Patients with Angina and Non-obstructive Coronary Artery Disease Authors: Ali Ahmad, MD, Jaskanwal D. Sara, MBChB, Michel T. Corban, MD, Takumi Toya, MD, Ilke Özcan, MD, Lilach O. Lerman, MD PhD, Amir Lerman, MD Introduction: Coronary microvascular dysfunction (CMD) is prevalent in patients with heart failure with preserved ejection fraction. Subclinical ischemia and myocardial fibrosis in CMD might raise filling pressure, a hallmark of HFpEF, which induces secretion of NT-proB-type natriuretic peptide (NTpro-BNP). We sought to explore the relationship between CMD and NT-proBNP. Methods: We studied 698 patients with signs and/or symptoms of ischemia and with non-obstructive CAD (<40% angiographic stenosis) who underwent invasive CMD evaluation and had NT-proBNP checked within 6 weeks. CMD was defined as coronary flow reserve (CFR) (hyperemic flow/baseline flow as measured by the doppler wire) of ≤2.5 in response to intracoronary adenosine injection. Results: Overall mean age was 52.8±12.2 years, and women represented 69% of the patients. Log NT-proBNP showed a modest inverse correlation with CFR (Pearson’s R = -0.22, P<0.0001; Figure 1 ), which remained significant after adjusting for age and gender (Standardized ß coefficient = -0.14; P = 0.001). Patients with CMD had higher levels of NT-proBNP than those without (82 [44-190] vs. 62 (33-130], P <0.0001; Figure 2) . Conclusion: Declining coronary microvascular function is correlated with higher NT-proBNP levels. Patients with CMD had higher levels of NT-proBNP, a marker of elevated LV pressure, contributing to the possible role of CMD in early HFpEF pathophysiology. Keywords: Coronary microvascular dysfunction, NT-proBNP
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".