Correlation of Clinical Types and Complexity of Coronary Artery Disease With Patients' Metabolic Profile

Correlation of Clinical Types and Complexity of Coronary Artery Disease With Patients' Metabolic Profile

The purpose of the research project is to investigate the potential association of the complexity and the severity of coronary artery disease (as assessed via SYNTAX score) with patients' metabolic profile. The aim of the study is to combine biochemical, clinical and laboratory data in order to create an algorithm that will enable an individualized therapeutic patient approach.

The objective of this observational study is to expand our knowledge on the biochemical process and pathogenesis of atherogenesis and to recognize clinically important metabolic biomarkers correlated with the severity and clinical presentation of Coronary Artery Disease (CAD). 1050 patients who will undergo coronary angiography will be enrolled in the study. SYNTAX score will be calculated for all participants and their blood samples will be collected before coronary angiography. Metabolomics-based analysis will be performed in order to confirm CAD prognostic biomarkers previously reported in the literature and to investigate their correlations with CAD clinical data. The ultimate aim of this study is to predict the risk of cardiovascular events by incorporating metabolomic information into the SYNTAX score and provide personalized therapeutic guidance to patients.

Inclusion Criteria:

1. Patients giving voluntary written consent to participate in the study
2. Adults
3. Patients without previous history of coronary artery disease
4. Patients who are admitted in the Department of Cardiology in the AHEPA University General Hospital of Thessaloniki and undergo coronary angiography for clinical purposes

Exclusion Criteria:

1. Cardiac Arrest at admission
2. Patients with serious concurrent disease and life expectancy of < 1 year