Risk Balancing of Cold Ischemic Time against Night Shift Surgery Possibly Reduces Rates of Reoperation and Perioperative Graft Loss
Table 5
Regression analysis of the risks of perioperativegraft loss due to surgical reasons (). Shown are the results of univariable and multivariable binary regression analyses to determine the odds ratios of the investigated variables for the risk of perioperativegraft loss due to surgical reasons (). Analyzed were all 1262 cases with standard kidney transplantations into nonpreoperated sites between 1 January 2000 and 31 October 2013. Included into risk-adjusted multivariable analyses were only transplant variables with a value < 0.2 in univariable regression analyses.
Continuous variables
Descriptive statistics
Univariable binary regression
Risk-adjusted multivariable binary regression
Med
Mean
Range
OR
95% CI
OR
95% CI
/%
Donor age [yr.]
53
52
5–88
4/0.3
0.270
1.016
0.988–1.045
Not selected
Donor BMI [kg/m2]
25
25
15–38
4/0.3
0.466
1.035
0.943–1.136
Donor creatinine [μmol/l]
70
91
0–8840
0
0.646
0.998
0.992–1.005
Recipient age [yr.]
55
54
18–77
0
0.823
0.996
0.963–1.030
Recipient BMI [kg/m2]
25
25
15–38
35/2.8
0.025
1.129
1.015–1.265
0.019
1.139
1.021–1.270
CIT [min.]
858
916
125–2458
65/5.2
0.681
1.00
0.999–1.001
Not selected
1st surgeon’s CUSUM
29
46
1–361
12/1.0
0.350
0.995
0.984–1.006
Categorical variables
OR
95% CI
OR
95% CI
/%
Night shift surgery 3 AM–6 AM
25
0
0.001
9.235
2.535–33.647
<0.001
10.96
2.909–41.31
Recipient’s right fossa
740
0
0.558
0.773
0.326–1.833
Not selected
Right donor kidney
611
0
0.218
1.747
0.719–4.245
Number of arteries
One
947
0
Reference
>one
315
0.375
1.515
0.606–3.787
Number of arterial anastomoses
One
1140
0
Reference
Reference
>one
122
0.035
3.002
1.080–8.343
0.029
3.174
1.123–8.973
Number of veins
One
1220
0
Reference
Not selected
>one
42
0.713
1.463
0.192–11.169
Numbers of venous anastomoses
One
1261
0
Reference
>one
1
1.000
0.000
0.000
Stenting of ureter anastomosis
Nonstented
380
5/0.4
Reference
Stented
877
0.609
1.305
0.471–3.617
Not selected because of a value > 0.2 in univariable analyses. Little’s MCAR test: Chi-Square = 31.909, DF = 33, and = 0.521.
