论文部分内容阅读
目的:分析脑缺血灶与脑血流动力学指标(脑血管功能积分)及相关生理、生化指标的关系。方法:连续选取2016年5月至2019年4月在山东电力中心医院健康管理中心进行常规体检,并同时进行脑血管血流动力学检测和头颅MRI检查的健康体检者,根据MRI影像分为脑缺血灶组和对照组。分析比较2组脑血管功能积分值及血压、体质指数及相关生化指标的差异,并对危险因素进行多因素Logistic回归分析。结果:共纳入研究对象366人,脑缺血灶者组264例(72.1%),年龄(53.0±7.6)岁,其中男性211例(79.9%),女性53例(20.1%);对照组102人(27.9%),年龄(48.7±7.3)岁,其中男性87例(85.3%),女性15例(14.7%)。脑缺血灶组的年龄[(53.0±7.6)岁比(48.7±7.3)岁]、收缩压水平[(127.70±17.06) mmHg比(122.36±14.75) mmHg](1 mmHg=0.133 kPa)高于对照组;高密度脂蛋白胆固醇[(1.29±0.26) mmol/L比(1.37±0.30) mmol/L]和脑血管功能积分值[(86.55±18.41)分比(92.16±10.77)分]低于对照组;脑缺血灶组收缩压≥140 mmHg和脑血管功能积分值<75分的暴露率[16.7%(44例)比2.9%(3例)]高于对照组,差异均有统计学意义(n P均<0.05)。多因素Logistic回归结果显示,被选入回归方程的变量分别是年龄和脑血管功能积分值,n OR值(95n %CI)分别为1.062(1.020~1.105)和6.838(1.583~29.547)。n 结论:增龄和脑血管功能积分降低可能是影响MRI脑缺血灶的危险因素。“,”Objective:This study aimed to analyze the relationship between cerebral ischemia and cerebral blood flow dynamics (cerebrovascular function score), related physiological, and biochemical indexes.Methods:We selected 366 patients who underwent regular physical examination, cerebrovascular hemodynamics test, and head MRI in the health management center of Shandong Electric Power Central Hospital from May 2016 to April 2019. The patients with cerebral ischemia were selected as the case group (264 cases), and those without cerebral ischemia as the control group (102 cases) to analyze the differences in cerebrovascular function scores, blood pressure, body mass index, and related biochemical indexes between the two groups. The risk factors were also analyzed by multiple logistic regression analysis.Results:The average age of cerebral the ischemia group was (53.0±7.6) years, which consisted of 211 men and 53 women. The average age of the control group was (48.7±7.3) years, which consisted of 87 men and 15 women. The comparison of the mean of continuous variables between the two groups of subjects shows that the mean age [(53.0±7.6) years old n vs. (48.7±7.3) years old] and systolic blood pressure [(127.70±17.06) mmHg n vs.(122.36±14.75) mmHg] (1 mmHg=0.133 kPa) of cerebral ischemia group were significantly higher than that of control group. The high-density lipoprotein level [(1.29±0.26) mmol/L n vs. (1.37±0.30) mmol/L] and cerebrovascular function score [(86.55±18.41) n vs. (92.16±10.77)] were significantly lower than those in the control group. The exposure rate of systolic blood pressure ≥140 mmHg and cerebrovascular function score <75 [16.7%(44 cases) n vs. 2.9%(3 cases)] in the ischemic group was significantly higher than that in the control group, with statistically significant differences (n P<0.05). Multivariate logistic regression results showed that the variables included in the regression equation of the numeration data model were age and cerebrovascular function score, and the n OR (95%n CI) were 1.062 (1.020-1.105) and 6.838 (1.583-29.547).n Conclusion:Aging, low high-density lipoprotein cholesterol level, and low cerebrovascular function score may be the risk factors affecting MRI-defined cerebral ischemia.