Abstract
肖文凯,叶平,刘德军,吴红梅,骆雷鸣.北京地区4985例桡动脉反射波增强指数相关因素研究[J].Chinese journal of Epidemiology,2009,30(10):1055-1059
北京地区4985例桡动脉反射波增强指数相关因素研究
Evaluation on the analytical sensitivity of 31 HBsAg enzyme immunoassay kits
Received:April 20, 2009  
DOI:
KeyWord: 桡动脉反射波增强指数  动脉僵硬度  动脉硬化  人群研究
English Key Word: Radial augmentation index  Arterial stiffness  Arteriosclerosis  Cohort study
FundProject:国家"十五"科技攻关计划(2004BA718B02);北京市科技计划(D08050700650805)
Author NameAffiliationE-mail
XIAO Wen-kai Second Department of Cardiology Southern Building Clinic Division, PLA General Hospital, Beijing 100853, China  
YE Ping Second Department of Cardiology Southern Building Clinic Division, PLA General Hospital, Beijing 100853, China xiaowk301@sina.com 
LIU De-jun 解放军总参谋部警卫局卫生保健处  
WU Hong-mei Second Department of Cardiology Southern Building Clinic Division, PLA General Hospital, Beijing 100853, China  
LUO Lei-ming Second Department of Cardiology Southern Building Clinic Division, PLA General Hospital, Beijing 100853, China  
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Abstract:
      目的反射波增强指数(AI)可作为反映动脉硬化的有效指标,研究AI的相关因素,为早期预防动脉硬化和心血管疾病提供依据.方法北京地区参加查体的4985名经知情同意的研究对象(男性2417名、女性2568名),年龄18~96(50.94±14.73)岁,采用科林HEM-9000AI检测仪用桡动脉张力测量法检测左侧桡动脉脉搏波波形.结果4985名受检者中有1964例(39.4%)高血压病患者,557例(11.2%)糖尿病患者和2430例(48.7%)血脂异常患者.多元逐步回归分析显示:年龄、舒张压、吸烟、心率、身高、腰围、空腹血糖是女性桡动脉AI值的相关因素;在男性,AI还与血清总胆固醇有关.女性的AI值(83.18±12.36)%显著高于男性(71.93±15.22)%,P<0.01.结论桡动脉AI值不仅与年龄、血压、心率、血糖、吸烟有关,还与身高、腰围、血脂相关,在将AI作为评估动脉硬化的指数时,应考虑这些造成混淆的因素.
English Abstract:
      Objective The augmentation index (AI) derived from central arteries is generally defined as an index of augmentation of central blood pressure in systole derived from the return of pressure waves reflected from the periphery and is an index of arterial stiffness. There is controversy with respect to how to affect AI. Methods In a cross-sectional study of 4985 subjects (2417 men and 2568 women) aged 18-96 years (50.94± 14.73 years,mean±SD),AI was measured in the left radial artery using tonometry Colin HEM-9000AI. Results Among the subjects, 39.4% were diagnosed as hypertensive, 11.2% as diabetes mellitus, and 48.7% as hyperlipidemia. Stepwise regression analysis revealed that age, diastolic blood pressure, smoking, heart rate, height, waist circumference and fasting blood glucose were independent determinants of radial AI in women; while in men, it was also determined by total cholesterol. Radial AI was significantly higher in women than in men [(83.18± 12.36)% vs. (71.93±15.22)%, P<0.01]. Conclusion Our findings indicate that AI is determined by arterial stiffness, distance to the reflection point and reflection coefficient. It is necessary to take into account these confounding factors when assessing AI is used as an index for atherosclerosis.
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