{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T01:50:11Z","timestamp":1773107411657,"version":"3.50.1"},"reference-count":44,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T00:00:00Z","timestamp":1626393600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Today, there are many parameters used for cardiovascular risk quantification and to identify many of the high-risk subjects; however, many of them do not reflect reality. Modern personalized medicine is the key to fast and effective diagnostics and treatment of cardiovascular diseases. One step towards this goal is a better understanding of connections between numerous risk factors. We used Factor analysis to identify a suitable number of factors on observed data about patients hospitalized in the East Slovak Institute of Cardiovascular Diseases in Ko\u0161ice. The data describes 808 participants cross-identifying symptomatic and coronarography resulting characteristics. We created several clusters of factors. The most significant cluster of factors identified six factors: basic characteristics of the patient; renal parameters and fibrinogen; family predisposition to CVD; personal history of CVD; lifestyle of the patient; and echo and ECG examination results. The factor analysis results confirmed the known findings and recommendations related to CVD. The derivation of new facts concerning the risk factors of CVD will be of interest to further research, focusing, among other things, on explanatory methods.<\/jats:p>","DOI":"10.3390\/diagnostics11071284","type":"journal-article","created":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T10:52:58Z","timestamp":1626432778000},"page":"1284","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Analysis of Risk Factors in Patients with Subclinical Atherosclerosis and Increased Cardiovascular Risk Using Factor Analysis"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7874-2528","authenticated-orcid":false,"given":"Zuzana","family":"Pella","sequence":"first","affiliation":[{"name":"Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Ko\u0161ice, 040 01 Ko\u0161ice, Slovakia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dominik","family":"Pella","sequence":"additional","affiliation":[{"name":"1st Department of Cardiology, East Slovak Institute for Cardiovascular Diseases, 040 01 Ko\u0161ice, Slovakia"},{"name":"Faculty of Medicine, Pavol Jozef \u0160af\u00e1rik University in Ko\u0161ice, 040 01 Ko\u0161ice, Slovakia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4603-0411","authenticated-orcid":false,"given":"J\u00e1n","family":"Parali\u010d","sequence":"additional","affiliation":[{"name":"Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Ko\u0161ice, 040 01 Ko\u0161ice, Slovakia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jakub Ivan","family":"Vanko","sequence":"additional","affiliation":[{"name":"Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Ko\u0161ice, 040 01 Ko\u0161ice, Slovakia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J\u00e1n","family":"Feda\u010dko","sequence":"additional","affiliation":[{"name":"Centre of Clinical and Preclinical Research, MEDIPARK, Faculty of Medicine, Pavol Jozef \u0160af\u00e1rik University in Ko\u0161ice, 040 01 Ko\u0161ice, Slovakia"},{"name":"Department of Gerontology and Geriatrics, Faculty of Medicine, Pavol Jozef \u0160af\u00e1rik University in Ko\u0161ice, 040 01 Ko\u0161ice, Slovakia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.atherosclerosis.2019.03.014","article-title":"Management of dyslipidemia in patients with coronary heart disease: Results from the ESC-EORP EU-ROASPIRE V survey in 27 countries","volume":"285","author":"Jankowski","year":"2019","journal-title":"Atherosclerosis"},{"key":"ref_2","unstructured":"NCD Risk Factor Collaboration (NCD-RisC) (2016). 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