吸煙指數(shù)與腦血管狹窄程度及部位相關(guān)性研究
[Abstract]:Background Ischemic Cerebrovascular Disease (ICVD) has the characteristics of high incidence, high recurrence rate, and great harm[1], which is the main risk factor leading to disability. Recently, the relationship between smoking and ICVD is becoming more and more important, although the exact mechanism of smoking leading to ICVD and atherosclerosis is not completely clear, smoking has been identified as one of the independent risk factors for the onset of cerebral infarction. The smoking index is equal to the number of smokers per day and the number of years of smoking. Therefore, by studying the relationship between the smoking index and the degree and location of the cerebrovascular stenosis of the ICVD, the relationship between smoking and cerebrovascular stenosis can be quantified, and the theoretical basis for more effective prevention and control of ICVD is provided. Objective To study the relationship between smoking index and the degree of cerebral stenosis of ICVD, to quantify the relationship between smoking and cerebrovascular stenosis, and to provide a theoretical basis for more effective prevention and treatment of ICVD. Methods The patients with ICVD in the Central Hospital of Dalian were selected from January 2011 to December 2016, and the relevant data of the samples (cases) were collected, including age, sex, daily smoking count, number of years of smoking, hyperlipidemia, hypertension, diabetes, hyperhomocysteinemia (Hyperhomocysteinmia, etc.). "Hcy), alcohol consumption, degree of blood vessel stenosis and location, etc., were included in 207 male patients with hypertension and hyperlipidemia, respectively, and the degree of blood vessel stenosis and the location of each patient were recorded according to the report of the head and neck CTA, respectively, and the age between the different degree of stenosis of each group was compared and analyzed, respectively. There was no significant difference in the number of years of smoking, the number of cigarette smoking, the smoking index and other factors. The statistical software was used for statistical treatment with SPSS 21.0 for Windows. The difference was statistically significant, and the correlation between the factors and the degree of stenosis was further analyzed by the stepwise linear regression. Results 1. There were 76 cases of mild stenosis group,25 cases of moderate stenosis group,45 cases of severe stenosis group and 61 cases of occlusion group. There was no significant difference in age, number of years of smoking, number of smoking, smoking index, alcohol consumption and Hcy. According to the cerebral blood flow artery supply system, there were 7 cases with no stenosis group,111 cases of mild stenosis group,26 cases of moderate stenosis group,18 cases of severe stenosis group and 45 cases of occlusion group. There was no significant difference in age, number of years of smoking, number of smoking, smoking index, alcohol consumption and hcy among the groups. (2) There were 61 cases of non-stenosis group,60 cases of mild stenosis group,22 cases of moderate stenosis group,45 cases of severe stenosis group and 19 cases of occlusion group. There was a significant difference in the number of years of smoking among the groups. There was no statistical significance between the groups in age, number of smoking, smoking index, alcohol consumption and hcy. (2) Multiple stepwise linear regression analysis: the last number of years of smoking can enter the regression model at a = 0.05 level, and the degree of the posterior circulation of the vessel is positively related to the number of years of smoking (b = 0.256). The cerebral vascular stenosis was divided into two groups: the intracranial group, the extracranial group (1), the intracranial vascular stenosis group (1), the intracranial no-stenosis group (17 cases), the mild stenosis group (74 cases), the moderate stenosis group (26 cases), the severe stenosis group (34 cases) and the occlusion group (56 cases). There was a significant difference in the smoking index among the groups, and there was no statistical significance between the groups in the age, the number of years of smoking, the number of cigarettes, the alcohol consumption and the hcy. The final smoking index could not enter the regression model, and the relationship between the degree of stenosis of the intracranial vessel and the smoking index was not shown. (2) There were 14 cases of extracranial stenosis group (1), the extracranial non-stenosis group (n = 14), the mild stenosis group (121 cases), the moderate stenosis group (20 cases), the severe stenosis group (26 cases) and the occlusion group (26 cases). There was a significant difference in the number of years of smoking and the smoking index among the groups. There was no statistical significance between the groups in age, number of smoking, alcohol consumption and hcy. (2) the multiple stepwise linear regression analysis: the above two factors were analyzed by stepwise linear regression, and the last smoking index could enter the regression model. And the degree of extracranial vascular stenosis was positively related to the smoking index (b = 0.278). Conclusion 1. There was no correlation between the degree of cerebrovascular stenosis and the smoking index. There was no correlation between the degree of the posterior circulation of the vessel and the smoking index; the degree of the posterior circulation of the vessel was positively related to the number of years of smoking, the longer the number of years of smoking, the more the degree of stenosis of the posterior circulation vessel was, and the degree of the anterior circulation of the vessel was not related to the smoking index. There was a positive correlation between the degree of extracranial vascular stenosis and the smoking index, the greater the smoking index, the higher the degree of extracranial vascular stenosis, and the no correlation between the degree of intracranial vessel stenosis and the smoking index.
【學(xué)位授予單位】:大連醫(yī)科大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:R743.3
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