多元线性回归法分析PSA的影响因素

目的:用多元线性回归的方法分析各个影响因素对于PSA的影响大小。方法:对6个自变量X1年龄、X2前列腺体积、X3剩余尿多少、X4血胆固醇、X5泌尿系感染程度、X6影像学占位赋值后,用多元线性回归的方法计算自变量对应变量Y:TPSA的偏回归系数。结果:泌尿系感染、前列腺大小、年龄与PSA之间存在线性关系,影响大小依次为泌尿系感染前列腺大小年龄,其中泌尿系感染、前列腺体积对于PSA为正影响,年龄则为负影响。剩余尿多少及患者是否有尿潴留对于F/T比值有着正影响。结论:泌尿系感染加重、前列腺体积增大一定程度可以增大PSA,年龄增加可以减小PSA。剩余尿增加及患者发生尿潴留可以增大F/T比值。

Multiple linear regression in analysis of PSA influencing factors

Objective： To analyze the impact degrees of various influencing factors of PSA through multiple lin- ear regression. Method： We calculated the partial regression coefficient of the variable Y： TPSA corresponding to independent variables with the method of multiple linear regression after assigning values of the six independent variables of X1 , age; X2, prostate size; X3 residual urine volume; X4, blood cholesterol; Xs, urinary tract infec- tions; X6, space-occupying lesion in imaging. Result： There was a linear relationship between urinary tract infec- tions, prostate size, age and PSA. The sequence of the impact degrees of these factors were as follows： urinary tract infections ~prostate size~age, in which urinary tract infections, prostate size had a positive impact on PSA, while age had a negative impact on PSA. The factors of residual urine volume and whether the patient had urinary retention remained a positive impact on F/T ratio. Conclusion： To certain extent, it is shown that PSA increases along with the aggravation of urinary tract infections and the enlargement of prostate, and decreases along with in- creasing age. Moreover, elevated F/T ratio can be seen in patients with increasing residual urine volume and urinary retention.