| Background and objectiveThe causes of coronary atherosclerotic heart disease have not been fully determined. But research had showed that the occurrence and development of coronary heart disease depended on a variety of factors. The main risk factors include age, gender, dyslipidemia, hypertension, smoking, diabetes, obesity and family history, etc. With the arrival of an ageing population and change of lifestyle in our country, it presents a tendency of the increasing incidence and mortality of coronary heart disease. At present, the method of accurate diagnosis of coronary heart disease still depends on coronary angiography, but it is an invasive examination method, and the cost is relatively expensive. Because of no related equipments and technology, it has not been fully popularized in basic-level hospital, which leads the misdiagnosis and people can’t get proper treatment. Without coronary angiography it needs to consider and evaluate the overall conditions of the patients and various non-invasive examinations, such as ultrasound, electrocardiograph, laboratory examinations and then choose the reasonable clinical treatments. The study included 325 consecutive patients with coronary angiography. The date was analyzed to explore the connection between the degree of coronary artery stenosis and the clinic characteristics and non-invasive examinations and the model was established to evaluate the degree of coronary artery stenosis, which helps choose proper clinical treatment. MethodsThe study included 325 consecutive patients with coronary angiography from November 2013 to October 2015 in the Second Affiliated Hospital of Zhengzhou University. The clinic characteristics and non-invasive examinations were collected. The modified Gensini score was used to evaluate the degree of coronary artery stenosis. We used multiple linear regression analysis to establish the regression equation of the coronary artery occlusion integral and the risk factors and non-invasive examinations. The data was analyzed by SPSS16.0. Results1. The correlation of various risk factors and the non-invasive examinations and coronary artery occlusion score: the degree of coronary artery stenosis was positively correlated with smoking history, hypertension, type 2 diabetes, LDL- C, type A behavior, family history, number of risk factors, resting ECG abnormalities and carotid artery plaque formation,and negatively correlated with HDL- C and TB.2. The model of predicting coronary artery obstruction degree: We used the age, gender, smoking history, hypertension, type 2 diabetes, fasting blood sugar, TC, TG, LDL-C, HDL-C, BMI, WBC, UA, FIB, TB, resting ECG abnormalities, carotid artery plaque formation, type A behavior, family history, number of risk factors as the independent variable and coronary artery occlusion integral as reaction variable, using stepwise regression method to screen the independent variable. Finally, we established the regression equation: Y gensini score =4.734+1.212(smoking history yes=1,no=0)+1.398(hypertension yes=1,no=0)+1.453(DM yes=1,no=0)+1.057(LDL-C)-3.205(HDL-C)-0.397(TB)+3.138(resting ECG abnormalities yes=1,no=0)+2.258(carotid artery plaque formation yes=1,no=0)+2.131(type A behavior yes=1,no=0)+3.13(family history yes=1,no=0)+1.236(number of risk factors). F=13.203,P﹤0.001, regression equation was statistically significant. R=0.816,R2=0.666, This suggested that eleven independent variables could explain 66.6% of the response variable mutation. Conclusion1. Coronary artery occlusion score was positively correlated with smoking history, hypertension, type 2 diabetes, LDL- C, type A behavior, family history, number of risk factors, resting ECG abnormalities and carotid artery plaque formation,and negatively correlated with HDL- C and TB.2. The predicting for the degree of coronary artery stenosis was related with smoking history, hypertension, type 2 diabetes, LDL, HDL- C- C, TB, resting ECG abnormalities, carotid artery plaque formation, type A behavior, family history, the number of risk factors. The mathematical model could predict the degree of coronary artery stenosis.3. This study found that coronary heart disease was negatively correlated with TB. The mechanism may be that TB,as an endogenous antioxidant, could resist the oxidative stress state of the body, inhibit oxidative modification of LDL – C. Coronary heart disease was positively correlated with type A behavior and number of risk factors. The mechanism of the former may have a relationship with a long-time stress state in the body, the mechanism of the latter may be related with the interaction of the multiple risk factors. |
PDF Full Text Request