THE LARGE CENTER VARIATION IN HALF-LIVES OF KIDNEY-TRANSPLANTS

被引:33
作者
GJERTSON, DW [1 ]
TERASAKI, PI [1 ]
机构
[1] UNIV CALIF LOS ANGELES,TISSUE TYPING LAB,950 VET AVE,LOS ANGELES,CA 90024
关键词
D O I
10.1097/00007890-199202010-00018
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Based on a log-linear model for analyzing multiple effects, center variation in the UCLA Transplant Registry is the most influential factor in early renal graft survival. Among 68 active centers accounting for 70% of all transplants between 1985 and 1989, the 1-year graft survival (adjusted for 15 covariates) varied from 60 to 90%. The long-term graft survival, as measured by the half-lives of the first cadaver donor transplants at these centers, based on a minimum of 4 years of follow-up data, varied from 3 to 26 years. Although there was some correlation (r = 0.24) of half-life with the 1-year graft survival rate at each center, in many instances, excellent centers had poor half-lives and average centers had excellent half-lives. From a Cox regression analysis on data from 6752 first cadaver-donor renal transplants surviving beyond 1 year (submitted to the UNOS data base), white female recipients of 0 HLA-AB-mismatched kidneys not requiring dialysis in the first week posttransplant had projected half-lives of 14.1 years, whereas black male recipients of 4 HLA-AB-mismatched kidneys requiring therapeutic dialysis had half-lives of 2.3 years. However, adjustment for these factors could only remove 17% of the total variability in the centers' half-lives. Consequently, any algorithm intended to judge a center's renal transplant capabilities should include, even after adjustment for covariates, some function of both 1-year graft survival and half-life beyond 1 year.
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收藏
页码:357 / 362
页数:6
相关论文
共 21 条
[1]  
BARNES BA, 1981, TRANSPL P, V13, P65
[2]  
Cook D J, 1987, Clin Transpl, P277
[3]  
COX DR, 1972, J R STAT SOC B, V34, P187
[4]  
FLEISS JL, 1973, STATISTICAL METHODS, P161
[5]  
GILKS WR, 1984, TRANSPLANTATION, V38, P235
[6]  
Gjertson D W, 1990, Clin Transpl, P375
[7]   MULTIVARIATE PREDICTION MODEL OF KIDNEY-TRANSPLANT SUCCESS RATES [J].
HENNIGE, M ;
KOHLER, CO ;
OPELZ, G .
TRANSPLANTATION, 1986, 42 (05) :491-493
[8]  
KERMAN RH, 1991, TRANSPLANT P, V23, P380
[9]  
MCKEY MR, 1985, CLIN TRANSPLANT 198, P27
[10]  
Mickey M R, 1989, Clin Transpl, P435