Project description:Background. Mineral metabolism (MM) system and N-terminal pro-brain natriuretic peptide (NT-ProBNP) have been shown to add prognostic value in patients with stable coronary artery disease (SCAD). However, the influence of NT-ProBNP on the prognostic role of MM in patients with SCAD has not been shown yet. The objective of this study is to assess the influence of NT-ProBNP on the prognostic role of MM markers in patients with SCAD. Methods: We analyzed the prognostic value of MM markers (parathormone (PTH), klotho, phosphate, calcidiol (25-hydroxyvitamin D3), and fibroblast growth factor-23) in 964 patients with SCAD and NT-ProBNP > 125 pg/mL vs. patient with NT-ProBNP ≤ 125 pg/mL included in five hospitals in Spain. The main outcome was the combination of death, heart failure, and ischemic events (any acute coronary syndrome, ischemic stroke, or transient ischemic attack). Results: A total of 622 patients had NT-proBNP > 125 pg/mL and 342 patients had NT-ProBNP ≤ 125 pg/mL. The median follow-up was 5.1 years. In the group of NT-proBNP > 125 pg/mL, the patients were older, and there were more females and smokers than in the group of patients with normal NT-proBNP. Additionally, the proportion of patients with hypertension, atrial fibrillation, ejection fraction < 40%, cerebrovascular attack, or prior coronary artery bypass graft was higher in the high NT-proBNP group. In the high NT-proBNP patients, the predictors of poor prognosis were PTH (HR = 1.06 (1.01–1.10), p < 0.001) and NT-proBNP (HR = 1.02 (1.01–1.03), p = 0.011), along with age (HR = 1.039 (1.02–1.06), p < 0.001), prior coronary artery bypass graft (HR = 1.624 (1.02–2.59), p = 0.041), treatment with statins (HR = 0.32 (0.19–0.53), p < 0.001), insulin (HR = 2.49 (1.59–4.09), p < 0.001), angiotensin receptor blockers (HR = 1.73 (1.16–2.56), p = 0.007), nitrates (HR = 1.65 (1.10–2.45), p = 0.014), and proton pump inhibitors (HR = 2.75 (1.74–4.36), p < 0.001). In the NT-proBNP ≤ 125 pg/mL subgroup, poor prognosis predictors were plasma levels of non-high-density lipoprotein (non-HDL) cholesterol (HR = 1.01 (1.00–1.02), p = 0.014) and calcidiol (HR = 0.96 (0.92–0.99), p = 0.045), as well as treatment with verapamil (HR = 11.28 (2.54–50.00), p = 0.001), and dihydropyridines (HR = 3.16 (1.63–6.13), p = 0.001). Conclusion: In patients with SCAD and NT-ProBNP > 125 pg/mL, PTH and NT-ProBNP, which are markers related to ventricular damage, are predictors of poor outcome. In the subgroup of patients with NT-ProBNP ≤ 125 pgm/L, calcidiol and non-HDL cholesterol, which are more related to vascular damage, are the independent predictors of poor outcome. Then, in patients with SCAD, baseline NT-ProBNP may influence the type of biomarker that is effective in risk prediction.
| S-EPMC9319637 | biostudies-literature
