全血粘度影响因素的多元线性回归分析.doc

全血粘度影响因素的多元线性回归分析
董玉江 陈守强 【摘要】 目的 探讨全血粘度与其影响因素的依存关系。方法 检测66例患者的全血粘度(低切、中切、高切)、血浆粘度、红细胞压积、红细胞聚集指数和红细胞变形指数,采用SAS进行多元线ients’s blood viscosity (at 10s1,351 and150s1, BV),plasma viscosity (PV),hematocrit (HCT),the index of erythrocyte aggregation (IEA) and the index of erythrocyte disfiguration (IED). Results BV(10s1)=+ PV()+ HCT ()+( )+ IED ();BV(35s1)=+ PV()+ HCT()+ IEA()+ IED() ;BV(150s1)=+ PV()+ HCT()+ IEA (). Conclusion According to the standard cofficient of partial regression, the factor of maximum relative contributiom to BV was HCT,then was IED、IEA and PV at factor of maximum relative contributiom to BV was HCT,then was IED、PV and IEA at factor of maximum relative contributiom to BV was HCT,then was IEA and PV at factors affectting BV and their relative contribution should be considered at the same time while treating hyperviscosaemia or hypoviscosaemia.
【Key words】 Blood viscosity;The factors affectting blood viscosity;Hemorheology;Multiple linear regression

全血粘度是血液流变学的重要指标,其改变将直接影响机体内的血流阻力与组织血流灌注,因而具有重要的生理和病理意义。除切变率以外,影响全血粘度的因素还有血浆粘度、红细胞压积、红细胞聚集性和红细胞变形性等[1]。本研究应用多元线性回归分析,探讨低切、中切和高切全血粘度与上述影响因素的依存关系,现报道如下。

1 材料与方法

临床资料 山东中医药大学第二附属医院住院患者29例,门诊患者37例,共66例。其中男38例,女28例。年龄27~82岁,平均57