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与人体测量学、血脂和血压相关的纤维蛋白原及纤溶变量。瑞典北部莫妮卡研究。

Fibrinogen and fibrinolytic variables in relation to anthropometry, lipids and blood pressure. The Northern Sweden MONICA Study.

作者信息

Eliasson M, Evrin P E, Lundblad D

机构信息

Department of Internal Medicine, Luleå Hospital, Sweden.

出版信息

J Clin Epidemiol. 1994 May;47(5):513-24. doi: 10.1016/0895-4356(94)90298-4.

Abstract

Fibrinolysis is dependent upon plasminogen activator (tPA) activity while high fibrinogen levels increase the risk of thromboembolic events. From a cross-sectional population sample of 1558 men and women aged 25 to 64 years, plasma fibrinogen, tPA activity and plasminogen activator inhibitor-1 (PAI) activity were determined using specific assays. Associations with body mass index (BMI), waist-hip ratio (WHR), serum lipids and blood pressure were calculated with uni- and multivariate models where age and smoking were also introduced. In men age, truncal obesity, short height and low HDL cholesterol independently predicted fibrinogen (R2 0.20) while in women obesity per se, total cholesterol, systolic blood pressure, smoking and age were predictors (R2 0.29). tPA activity was negatively associated with BMI and serum triglyceride levels and positively with age in both sexes. In men diastolic blood pressure (R2 0.22) and in women WHR further independently predicted low fibrinolytic activity. HDL was associated with greater fibrinolysis in women (R2 0.15). Relationships with PAI-1 activity were essentially the reverse of tPA but stronger. Prospective interventional studies are needed to answer the question of causality.

摘要

纤维蛋白溶解依赖于纤溶酶原激活物(组织型纤溶酶原激活物)的活性,而高纤维蛋白原水平会增加血栓栓塞事件的风险。在一个由1558名年龄在25至64岁之间的男性和女性组成的横断面人群样本中,使用特定检测方法测定了血浆纤维蛋白原、组织型纤溶酶原激活物活性和纤溶酶原激活物抑制剂-1(PAI)活性。使用单变量和多变量模型计算了与体重指数(BMI)、腰臀比(WHR)、血脂和血压的关联,模型中还纳入了年龄和吸烟因素。在男性中,年龄、腹型肥胖、身高较矮和高密度脂蛋白胆固醇水平较低独立预测纤维蛋白原水平(R2 0.20),而在女性中,肥胖本身、总胆固醇、收缩压、吸烟和年龄是预测因素(R2 0.29)。组织型纤溶酶原激活物活性在两性中均与BMI和血清甘油三酯水平呈负相关,与年龄呈正相关。在男性中,舒张压(R2 0.22),在女性中,腰臀比进一步独立预测纤溶活性较低。高密度脂蛋白与女性更高的纤维蛋白溶解相关(R2 0.15)。与PAI-1活性的关系基本上与组织型纤溶酶原激活物相反,但更强。需要进行前瞻性干预研究来回答因果关系问题。

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