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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。
OBJECTIVE: To analyze the influence of various influencing factors on PSA by multiple linear regression. Methods: The multivariate linear regression method was used to calculate the corresponding variable Y of six independent variables: X1 age, X2 prostate volume, X3 residual urine, X4 blood cholesterol, X5 urinary tract infection degree and X6 imaging occupancy. Partial regression coefficient of TPSA. Results: There was a linear relationship between urinary tract infection, size of prostate, age and PSA. The order of urinary tract infection was> urinary tract infection> prostate size> age, urinary tract infection and prostate volume were positive for PSA and negative for age. How much residual urine and urinary retention in patients with F / T ratio has a positive impact. Conclusion: Urinary tract infection aggravates. Prostatic hyperplasia may increase PSA to a certain extent. Increasing age can reduce PSA. Increased residual urine and urinary retention in patients can increase the F / T ratio.