Abstract 162: Single Nucleotide Polymorphism of the B-Type Natriuretic Peptide Helps Predict the Presence of Significant Coronary Artery Disease
Bibliographic record
Abstract
Early detection and diagnosis of coronary artery disease (CAD) is crucial in reducing the morbidity and mortality. The clinical standard for detecting CAD is by angiography which is associated with rare but important clinical risks. Recent studies have shown that up to 40% of patients referred for angiography do not have significant disease. This discrepancy between referral and diagnosis may be improved by the utilization of genetic screening. A single nucleotide polymorphisms (SNP) of the B-type natriuretic peptide gene (NPPB), rs198389, was previously found to be associated with several cardiovascular diseases. Our objective was to determine whether detection of genetic variation could contribute to better selection of patients referred for angiography. We hypothesized that an SNP analysis of the NPPB gene may help differentiate patients with significant disease from those with non-significant CAD. Ninety-three patients referred for coronary angiography at the Kingston General Hospital Cardiac Catheterization Lab were consented for genetic screening. Blood samples were collected during angiography procedure. Genomic DNA was isolated from leukocytes, and screened for SNPs using a real-time PCR-based TaqMan SNP Assay. We found that more males were referred for coronary angiography than females: 69% versus 31%. Two out of ten males (20%) were found to have no or minimal CAD. In contrast, 48% of females were found to have non-significant CAD. Older age (≥ 69 years) was deemed to be a significant predictor of CAD in the total recruited population (odds ratio of 3.4), but no age difference was found between healthy and diseased females. Additionally, a mutation of the B-type natriuretic peptide gene (NPPB) was found to be a significant predictor of CAD in the younger population (< 69 years), with an odds ratio of 5.9. We found a significant difference between patterns of CAD development in males and females, suggesting that different diagnostic criteria should be used depending upon gender. Moreover, younger individuals with two copies of the major allele for the NPPB SNP were more likely to develop CAD, making this SNP a potential factor in the prediction of CAD in younger population.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".