The Study Of The Correlation Between The Coronary Heart Disease Risk Factors And The Quantification Of The Degree Of Coronary Artery Stenosis

Background: Coronary heart disease (CHD) is one of the most common heart diseases. It is the dysfunction and (or) organic disease which caused by coronary artery stenosis or cardiac insufficiency. It is also known as ischemic cardiomyopathy. Coronary heart disease which is the one of the most common diseases has become a serious harm to human life and health. Numerous studies show that this kind of disease is caused by multiple factors. Current domestic and international research on risk factors for coronary heart disease and coronary artery stenosis basically stay in the research phase of the correlation. One variety of the link between risk factors have not been adequately studied, and there is little correlation between the degree of quantitative analysis. While the use of risk factors for coronary artery stenosis stratified integral assessment of the research there are vacancies. Also did not rely on domestic and international research on risk factors predict the extent of coronary artery stenosis reported.Objective: Quantification of coronary heart disease risk factors by stratification, the stratification of different risk factors for coronary heart disease Gensini score of coronary artery stenosis in the relationship between standards. Build the prediction model so as to achieve the following risk factors into the model to match the more accurate the extent of coronary artery stenosis to determine the initial Methods: First collected by t test cases on a variety of coronary heart disease risk factors and the correlation integral analysis, followed by a multiple linear regression of coronary artery stenosis factor analysis, the final multiple regression based on the degree of stenosis of the proposed model Forecasts.Result: Blood factors: hypertension group and normotensive group compared Gensini integral level differences (P<0.05), statistically significant. Grade 3 hypertension group and normotensive group compared Gensini integral level difference (P<0.05), statistically significant. Hypertension 2 group and the level of normal blood pressure group compared Gensini points difference (P<0.05), statistically significant. Grade 1 hypertension group and normotensive group no significant difference Gensini points (P> 0.05), not statistically significant. Lipid factors: abnormal blood lipid and blood lipid levels of normal group compared Gensini points difference (P<0.05), statistically significant. Blood sugar factors: abnormal blood sugar and blood glucose normal rent levels have more points difference between Gensini (P<0.05), statistically significant. Smoking factors: smoking group and non-smoking group compared Gensini integral level differences (P<0.05), statistically significant. Gender: male group and female group compared Gensini integral level differences (P <0.05), statistically significant. Age factor: the young group ("60 years old) and old group (≥60 years," 80-year-old) Gensini integral level shows a difference (P<0.05), statistically significant. Old age group and age group (> 80 years) Gensini points showed no significant difference (P>0.05), not statistically significant. According to the information to establish multiple linear regression equation, and the equation can be tested, female group, dyslipidemia group, diabetic group P<0.05, indicating that these three groups were integral to the Gensini statistically significant level of return, including high blood lipids Factors the most.The "best " regression equation was Y = 21.553-12.368X women+9.485 X_dyslipidemia +12.746 X_diabetes. The results show that, Gensini integration levels and women, dyslipidemia and diabetes are the linear regression relationship, in which women negative.