Chromogranin B is associated with impaired coronary collateralization and heart failure in patients with stable angina and chronic total occlusion
Bibliographic record
Abstract
Abstract Background Chromogranin B (CgB) is a member of granin family that can be cleaved into a number of bioactive peptides. Previous studies showed that CgB is produced in cardiomyocytes and is increased in heart failure animals and patients in proportion to disease severity. Chronic total occlusion (CTO) of coronary artery leads to sustained myocardial ischemia which predisposes to adverse cardiovascular outcomes including heart failure. Purpose In this study, we sought to investigate the association between CgB and coronary collateralization formation and heart failure in patients with stable angina and CTO. Methods A total of 720 subjects with stable angina and CTO of at least one major coronary artery were enrolled in this study. CgB was assayed using an ELISA kit and the degree of coronary collaterals supplying the distal aspect of a total occlusion from the contralateral vessel was graded according to Rentrop classification. Results These was a stepwise decrease in levels of CgB with increasing Rentrop grades of coronary collateralization (P=0.001). Compared with the good collateralization (Rentrop grade 2–3) group, CgB was significantly higher in subjects with poor coronary collateralization (Rentrop grade 0–1; 1222.95 [IQR 506.24–2710.24] pg/mL vs. 776.17 [IQR 276.24–2209.39] pg/mL, P<0.001). Consistent results were found across subgroups of age, sex and the presence of diagnosed diabetes. In subjects with poor collateralization, CgB was positively correlated to N-terminal–pro-brain natriuretic peptide (NT-proBNP) levels (both log-transformed; Pearson's r=0.280, P=0.005). This correlation was markedly enhanced (Pearson's r=0.501, P<0.001) in the poorly-collateralized heart failure subgroup with left-ventricular ejection fraction (LVEF) <50%. Consistently, an inverse correlation was present between log-transformed CgB and LVEF (Pearson's r=−0.528, P<0.001) in the same subgroup. After adjusting for conventional confounding factors and LVEF, CgB remained significantly associated with impaired coronary collateralization (odds ratio: 1.314 [95% CI 1.097–1.590], P=0.004). Inclusion of CgB led to a better diagnostic accuracy as confirmed by net reclassification improvement (NRI) of 17.70% (95% CI 8.08–27.32%, P<0.001) and integrated discrimination improvement (IDI) of 1.98% (95% CI 0.63–3.34%, P=0.004). Conclusions CgB is an independent predictor of poor coronary collateralization and is related to worse heart function in patients with stable angina and CTO. Figure 1 Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): National Natural Science Foundation of China
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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 | 0.000 |
| 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".