Background and objectives: We investigated the relationship of the Syntax Score (SS) and coronary artery calcification (CAC), with plasma levels of biomarkers related to cardiovascular damage and mineral metabolism, as there is sparse information in this field.
Methods: We studied 270 patients with coronary disease that had an acute coronary syndrome (ACS) six months before. Calcidiol, fibroblast growth factor-23, parathormone, phosphate and monocyte chemoattractant protein-1 [MCP-1], high-sensitivity C-reactive protein, galectin-3, and N-terminal pro-brain natriuretic peptide [NT-proBNP] levels, among other biomarkers, were determined. CAC was assessed by coronary angiogram as low-grade (0-1) and high-grade (2-3) calcification, measured with a semiquantitative scale ranging from 0 (none) to 3 (severe). For the SS study patients were divided in SS<14 and SS≥14. Multivariate linear and logistic regression analyses were performed.
Results: MCP-1 predicted independently the SS (RC = 1.73 [95%CI = 0.08-3.39]; p = 0.040), along with NT-proBNP (RC = 0.17 [95%CI = 0.05-0.28]; p = 0.004), male sex (RC = 4.15 [95%CI = 1.47-6.83]; p = 0.003), age (RC = 0.13 [95%CI = 0.02-0.24]; p = 0.020), hypertension (RC = 3.64, [95%CI = 0.77-6.50]; p = 0.013), hyperlipidemia (RC = 2.78, [95%CI = 0.28-5.29]; p = 0.030), and statins (RC = 6.12 [95%CI = 1.28-10.96]; p = 0.013). Low calcidiol predicted high-grade calcification independently (OR = 0.57 [95% CI = 0.36-0.90]; p = 0.013) along with ST-elevation myocardial infarction (OR = 0.38 [95%CI = 0.19-0.78]; p = 0.006), diabetes (OR = 2.35 [95%CI = 1.11-4.98]; p = 0.028) and age (OR = 1.37 [95%CI = 1.18-1.59]; p<0.001). During follow-up (1.79 [0.94-2.86] years), 27 patients developed ACS, stroke, or transient ischemic attack. A combined score using SS and CAC predicted independently the development of the outcome.
Conclusions: MCP-1 and NT-proBNP are independent predictors of SS, while low calcidiol plasma levels are associated with CAC. More studies are needed to confirm these data.