The study is a prospective, observational one in which it is planned to obtain demographical, laboratory and clinical parameters of patients who are hospitalized in one the the main diabetology sites in Silesia region in Poland and to follow them prospectively for 10 years in order to collect information related to new cardiovascular events. Telephone contact will be performed every 12 months following hospital discharge. Any procedures related to the patients hospitalized in the diabetology ward will be the routine ones and the bioethics committee of Medical University of Silesia gave the permission for the study but waved the necessity of informed consent to be signed.Moreover there will be subgroup analysis of patients recruited from the outpatient diabetology clinics in Silesia region in order to participate in the observational study collecting data related to to vitamin D concentration, densitometry, fibroscan, carotid ultrasound examination, vascular stiffness, and peripheral and cardiovascular neuropathy. Patients who are treated in outpatient diabetology clinics in Silesia region and are included into the study must have the informed consent signed and bioethics committee agreement has been obtained. Machine learning approach will be implemented to discover the association between easy to obtain in everyday practice parameters, namely clinical, biochemical, and demographical ones to identify patients at the highest risk of cardiovascular disease.
The project is an observational one which undertakes different, easy to obtain in everyday clinical practice, demographical, laboratory and clinical parameters of patients with diabetes in Silesian Region in Poland to predict cardiovascular disease and cardiovascular events using machine learning approach.