Numbers of transplants for each Remuzzi grade

Background demographics

Early and later graft losses

Early graft losses

             Early_graft_loss
Remuzzi.group   0   1
          0-4 224   3
          5-7   7   1

    Fisher's Exact Test for Count Data

data:  early.loss.table
p-value = 0.1302
alternative hypothesis: true odds ratio is not equal to 1
95 percent confidence interval:
   0.1780039 149.4609658
sample estimates:
odds ratio 
  10.35814

Graft losses by 3 months post-transplant

             Graft_loss_3m
Remuzzi.group   0   1
          0-4 223   2
          5-7   7   1

    Fisher's Exact Test for Count Data

data:  loss.3m.table
p-value = 0.09992
alternative hypothesis: true odds ratio is not equal to 1
95 percent confidence interval:
   0.2364964 327.2382443
sample estimates:
odds ratio 
  15.29044

Graft losses by 1 year post-transplant

             Graft_loss_1yr
Remuzzi.group   0   1
          0-4 222   3
          5-7   7   1

    Fisher's Exact Test for Count Data

data:  loss.1yr.table
p-value = 0.1312
alternative hypothesis: true odds ratio is not equal to 1
95 percent confidence interval:
   0.1764146 148.1520521
sample estimates:
odds ratio 
  10.26601

Graft losses by 3 years post-transplant

             Graft_loss_3yr
Remuzzi.group   0   1
          0-4 217   6
          5-7   7   1

    Fisher's Exact Test for Count Data

data:  loss.3yr.table
p-value = 0.2212
alternative hypothesis: true odds ratio is not equal to 1
95 percent confidence interval:
  0.09842163 52.50216469
sample estimates:
odds ratio 
  5.091892

Delayed graft function

             DGF
Remuzzi.group   0   1
          0-4 153  74
          5-7   4   4

    Fisher's Exact Test for Count Data

data:  dgf.table
p-value = 0.4454
alternative hypothesis: true odds ratio is not equal to 1
95 percent confidence interval:
  0.3729264 11.3893907
sample estimates:
odds ratio 
  2.060694

Biopsy proven acute rejection

             BPAR_1yr
Remuzzi.group   0   1
          0-4 187  35
          5-7   7   1

    Fisher's Exact Test for Count Data

data:  bpar.table
p-value = 1
alternative hypothesis: true odds ratio is not equal to 1
95 percent confidence interval:
 0.01647097 6.25469584
sample estimates:
odds ratio 
 0.7640878

eGFR by Remuzzi score

Multivariate models for eGFR

Multivariate models using analysis of covariance (ANCOVA) with type III sum of squares.

eGFR at 3 months

                   Df Sum Sq Mean Sq F value Pr(>F)
CIT                 1     12    11.7   0.026  0.873
DBD                 1    330   330.2   0.723  0.396
RRT_status          1    208   207.9   0.456  0.500
Duration_dialysis   1    212   212.0   0.464  0.496
Remuzzi.group       1    739   739.5   1.620  0.204
Residuals         210  95848   456.4               
19 observations deleted due to missingness

eGFR at 1 year

                   Df Sum Sq Mean Sq F value Pr(>F)  
CIT                 1      0     0.1   0.000 0.9858  
DBD                 1    818   817.5   1.928 0.1664  
RRT_status          1    645   645.5   1.522 0.2187  
Duration_dialysis   1     87    86.7   0.205 0.6515  
Remuzzi.group       1   1263  1262.9   2.978 0.0859 .
Residuals         208  88191   424.0                 
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
21 observations deleted due to missingness

eGFR at 3 years

                   Df Sum Sq Mean Sq F value Pr(>F)  
CIT                 1     10    10.4   0.023 0.8786  
DBD                 1    581   581.5   1.310 0.2538  
RRT_status          1    293   293.3   0.661 0.4173  
Duration_dialysis   1     59    58.6   0.132 0.7167  
Remuzzi.group       1   2251  2251.4   5.070 0.0254 *
Residuals         206  91469   444.0                 
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
23 observations deleted due to missingness

Multivariate model of DGF incidence

Multivariate model using logistic regression


Call:
glm(formula = DGF ~ CIT + DBD + Remuzzi.group, family = "binomial", 
    data = dfr)

Deviance Residuals: 
    Min       1Q   Median       3Q      Max  
-1.1924  -0.9156  -0.8690   1.4529   1.5538  

Coefficients:
                   Estimate Std. Error z value Pr(>|z|)  
(Intercept)      -9.098e-01  4.952e-01  -1.837   0.0662 .
CIT               3.221e-06  1.047e-05   0.308   0.7583  
DBD               1.760e-01  2.881e-01   0.611   0.5412  
Remuzzi.group5-7  6.555e-01  7.254e-01   0.904   0.3661  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 295.44  on 230  degrees of freedom
Residual deviance: 294.11  on 227  degrees of freedom
  (4 observations deleted due to missingness)
AIC: 302.11

Number of Fisher Scoring iterations: 4