title: [Cox proportional risk model analysis on the affecting factors of liver transplantation].
abstract: OBJECTIVE
  To analyze the relative factors affecting the survival time of liver transplantation and identify the main factors for the purpose of supply the reference evidence to the clinic.
  
  
  METHODS
  The clinical data on preoperative condition, interoperation and liver function in 116 out of 128 recipients were quantified by the cox proportional risk model after liver transplantation. Their variables were calculated and analyzed by cox regression under the SAS 6.12 software.
  
  
  RESULTS
  Z14 (FFP) was obvious at alpha = 0.05. After deleting the non-obvious factors from the model, regression coefficient, standard errors, wald, P and RR were 0.065, 0.024, 7.493, 0.006 and 1.067 respectively. There was no difference of survival time between living liver transplantation and cadaver liver transplantation. The relative dangerous degree in cadaver liver transplantation was 0.340 as much as that in living liver transplantation.
  
  
  CONCLUSIONS
  Living liver transplantation shortens the waiting time of liver transplantation and alleviates patient's suffering. It suits for children and adult and supports a selective liver transplantation.
authors.affiliation: Department of Surgery, Anhui Medical University, Hefei 230022, China.
authors.forename: Q
authors.initials: Q
authors.lastname: Xiong
authors.forename: X
authors.initials: X
authors.lastname: Geng
authors.forename: F
authors.initials: F
authors.lastname: Sheungtat
mesh_terms: D000293:Adolescent; D000328:Adult; D002102:Cadaver; D002648:Child; D005260:Female; D006801:Humans; D016031:Liver Transplantation / Q000401:mortality / Q000706:statistics & numerical data*; D019520:Living Donors / Q000706:statistics & numerical data*; D008297:Male; D016016:Proportional Hazards Models; D012044:Regression Analysis; D012189:Retrospective Studies; D012307:Risk Factors; D012984:Software; D015996:Survival Rate