CORRELATION BETWEEN DEGENERATIVE AORTIC VALVE DISEASE AND SEVERITY OF CORONARY ARTERY DAMAGE IN CORONARY HEART DISEASE

Yuyuan He^#, Ling Wang^#, Bing Song^*

Department of Cardiology, the First Hospital of Lanzhou University, Lanzhou 730000, PR China

Objective: To analyse the correlation between degenerative aortic valve disease (DAVD) and severity of coronary artery damage (Gensini score).

Methods: Eighty-two DAVD patients in our hospital between May 2018 and July 2019 were selected as the DAVD group and 82 healthy physical examinees were selected as the control group. Changes in serum triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total bilirubin (TBIL), serum total bile acid (TBA) and uric acid (UA) were detected using a biochemical analyser, and blood glucose concentration was measured with a blood glucose monitor; Gensini score was calculated for all patients. Systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse pressure (PP) were measured and calculated as the difference between aortic systolic pressure and aortic diastolic pressure. The relationship between each item and the severity of coronary artery injury was compared. 

Results: The proportion of individuals with a history of smoking, hypertension, and diabetes and a family history of coronary heart disease and the prevalence of CAS were significantly higher in the DAVD group than in the control group (P<0.05). The Gensini score of DAVD patients was significantly higher than that of the control subjects (P<0.05). The age and SBP, TG and PP levels of DAVD patients were significantly positively correlated with the Gensini score (P<0.05), while HDL-C level was significantly negatively correlated with the Gensini score (P<0.05). Multivariate logistic regression analysis showed that the incidence of DAVD was related to age, diabetes, LDL-C and CAS (P<0.05). 

Conclusion: The relationship between DAVD and the severity of coronary artery damage is significant. DAVD plays an important role in predicting coronary artery disease and has guiding significance for clinical treatment.