Abstract: Objective　To explore the influence factor for the population with abnormality of cerebrovascular hemodynamics,and provide effective evidence for the early intervention.Methods　In this cross-sectional study,we selected 7 032 cases from the population of physical examination who took the cerebrovascular hemodynamics test in the Health Management Center of Xinjiang Medical University from January 2015 to January 2016,and recorded the general information,which included gender,age，nation，body mass index（BMI），overweight or obesity，hypertension，lipid abnormality，diabetes mellitus，heart disease，smoking，alcohol consumption，family history of stroke，and past history of stroke.Abnormality of cerebrovascular hemodynamics index（CVHI） was detected，CVHI≥75 was defined as normal case and CVHI<75 as abnormal case.Abnormal cases were divided into three groups by CVHI:low-risk group with CVHI of 50-74,moderate-risk group with CVHI of 25-49,and high-risk group with CVHI of 0-24.The root causes were analyzed by unconditional multivariate Logistic regression analysis.Results　Among 7 032 cases,there were 5 830 cases（82.91%） with normal of cerebrovascular hemodynamics（control group）,1 202 cases（17.09%） with abnormality of cerebrovascular hemodynamics:622 cases（8.84%） in the low-risk group,331 cases（4.71%） in the moderate-risk group，and 249 cases（3.54%） in the high-risk group.The factors such as gender，age，nation，BMI，overweight or obesity，hypertension，lipid abnormality，diabetes mellitus，heart disease,smoking，alcohol consumption and past history of stroke were significantly different among four groups（P<0.05）.Unconditional multivariate Logistic regression analysis indicated that there were causal relationships between abnormality of cerebrovascular hemodynamics and the factors such as gender，age,nation，overweight or obesity，hypertension，diabetes mellitus，heart disease，alcohol consumption and past history of stroke（P<0.05）.Conclusion　The main risk factors for the population with abnormality of cerebrovascular hemodynamics includ male,aged over 50,the Uyghur or Hui people,overweight or obesity，hypertension，diabetes mellitus，heart disease，alcohol consumption，and past history of stroke,which can provide important evidence and guide for the intervention in the future.

Key words: Stroke, Hemodynamics, Root cause analysis

摘要： 目的　探讨脑血管血流动力学异常影响因素，为早期有效的干预提供依据。方法　2015年1月—2016年1月新疆医科大学健康管理中心7 032例体检人群接受脑血管血流动力学检测，记录受试者的性别、年龄、民族、体质指数（BMI）、超重或肥胖、高血压、血脂异常、糖尿病、心脏病、吸烟、饮酒、脑卒中家族史、脑卒中既往史情况。检测受试者脑血管血流动力学指标（CVHI），CVHI≥75分为脑血管血流动力学正常，CVHI<75分为脑血管血流动力学异常，CVHI 50～74分为低危组，CVHI 25～49分为中危组，CVHI 0～24分为高危组。采用非条件多因素Logistic回归分析脑血管血流动力学异常的影响因素。结果　7 032例受试者中，脑血管血流动力学正常5 830例（82.91%）（正常组），脑血管血流动力学异常1 202例（17.09%），其中低危组622例（8.84%），中危组331例（4.71%），高危组249例（3.54%）。4组性别、年龄、民族、BMI、超重或肥胖、高血压、血脂异常、糖尿病、心脏病检出率、吸烟率、饮酒率、脑卒中既往史检出率比较，差异均有统计学意义（P<0.05）。非条件多因素Logistic回归分析结果显示，性别、年龄、民族、超重或肥胖、高血压、糖尿病、心脏病、饮酒、脑卒中既往史与脑血管血流动力学异常有回归关系（P<0.05）。结论　脑血管血流动力学异常人群的危险因素为男性、年龄≥50岁、维吾尔族、回族、超重或肥胖、高血压、糖尿病、心脏病、饮酒、脑卒中既往史，为今后的干预提供了策略和方向。

关键词: 卒中, 血流动力学, 影响因素分析