TY - JOUR AU - Baranova, O.L. AU - Yuzvyshyna, O.V. PY - 2017/10/27 Y2 - 2024/03/29 TI - Prediction of severity of coronary artery atherosclerosis in patients with cardiac valves calcinosis depending on gender JF - Biomedical and Biosocial Anthropology JA - Biomed. and Biosoc. Anthrop. VL - 0 IS - 29 SE - CLINICAL ARTICLES DO - UR - https://bba-journal.com/index.php/journal/article/view/308 SP - 145-150 AB - Gender features of clinical factors associated with severity of coronary arteries atherosclerosis was investigated in patients who underwent coronary arteriography (CA) and possible prediction of coronary atherosclerosis severity was estimated. CA results was assessed using coronary atherosclerosis severity index (CASI) that represent coronary atherosclerosis severity and extension. Patients with heart valves calcinosis (HVC) and severe aortic stenosis (AS) has significantly lesser CASI compared with HVC patients without AS (0 (0; 3,5) in group with grade 3 of AS and 3,0 (0; 10,0) in group with grade 2 of AS compared with 12,0 (5,5; 20,0) in group without AS, р<0,010). Patient with coronary artery disease (CAD) and HVC more often had myocardial infarction (odds ratio 2,04 for men and 2,35 for women). CASI was higher in group with combined presence of aortic valve calcification (AVC) and mitral annular calcification (MAC) (16,25 (7,0; 24,5) in group with combined presence of AVC and MAC; 11,5 (5,0; 19,0) in group of isolated AVC and 8,5 (3,5; 18,5) in group of isolated MAC, Рisol.AVC-comb.lesion=0,023). Correlation analysis (CASI association with age, body mass index (BMI), smoking, hypertension, diabetes mellitus (DM), cholesterol level, glomerular filtration rate (GFR) and type of calcific valves lesion was analyzed) revealed CASI association with age (r=0,248, р=0,006), cholesterol level (r=0,186, р=0,011), DM (r=0,126, р=0,085) and combined presence of AVC and MAC (r=0,149, р=0,042) in male group and with DM (r=0,212, р=0,0046), GFR (r=(-0,251), р=0,018) and combined presence of AVC and MAC (r=0,220, р=0,038) in female. Possibility of CASI prediction was evaluated by using stepwise logistic regression analysis. For men CASI significant predictive factors included age, cholesterol level, DM and combined presence of AVC and MAC and for women only combined presence of AVC and MAC was significant predictive factor. ER -