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. 2020 Sep 6;73(1):209–221. doi: 10.1007/s13304-020-00878-4

Table 3.

Univariable and multivariable Cox regression analyses for the overall risk of graft loss after LT in the training set

Variables Training set (N = 1262)
Univariable analysis Multivariable analysis
Beta-coefficient ± SE OR 95% CI p value Beta-coefficient ± SE Wald HR 95% CI p value
Waiting time (per day) 0.00 ± 0.00 1.00 1.00–1.00 0.7
Patient age at LT (per year) − 0.00 ± 0.01 1.00 0.99–1.01 0.8
Patient male gender (yes vs. no) 0.11 ± 0.12 1.11 0.89–1.40 0.4
Patient BMI at LT (per unit)a − 0.02 ± 0.01 0.98 0.96–1.00 0.08
MELD at LT (per point)b 0.02 ± 0.01 1.02 1.01–1.03 0.002
Donor age (per year)a 0.01 ± 0.00 1.01 1.00–1.02 0.001 0.01 ± 0.00 9.38 1.01 1.00–1.01 0.002
Donor male gender (yes vs. no) − 0.06 ± 0.10 0.94 0.77–1.14 0.5
Donor BMI at LT (per unit) 0.01 ± 0.01 1.01 0.98–1.03 0.5
CVA as cause of donor deatha 0.26 ± 0.10 1.29 1.05–1.58 0.01
Donor ICU stay (per day) 0.00 ± 0.01 1.00 0.98–1.03 0.9
Donor DM2a 0.26 ± 0.18 1.30 0.91–1.85 0.2
Donor local procurement − 0.09 ± 0.10 0.91 0.75–1.11 0.4
CIT (per min) 0.00 ± 0.00 1.00 1.00–1.00 0.5
WIT (per min)a 0.01 ± 0.00 1.01 1.00–1.01 0.003
BAR score (per point)a 0.04 ± 0.01 1.04 1.01–1.06 0.002 0.03 ± 0.01 6.58 1.03 1.01–1.05 0.01
D-MELD (per 100 points)a,b 0.03 ± 0.01 1.03 1.02–1.05 < 0.001
EADa 0.44 ± 0.10 1.55 1.28–1.89 < 0.001
CCIa 0.04 ± 0.00 1.04 1.04–1.05 < 0.001 0.04 ± 0.00 552.95 1.05 1.04–1.05  < 0.001

The Backward Wald method was used for selecting the covariates in the multivariable analyses. − 2log likelihood = 4,955.53

SE standard error, HR hazard ratio, CI confidence intervals, LT liver transplantation, BMI body mass index, MELD model for end-stage liver disease, CVA cerebrovascular accident, ICU intensive care unit, DM diabetes mellitus, CIT cold ischemia time, WIT warm ischemia time, BAR balance of risk, D-MELD donor-MELD, EAD early allograft dysfunction, CCI comprehensive complication index

aVariables initially introduced in the multivariable model

bThe multivariable model was constructed introducing only the variable “D-MELD”, with the intent to avoid collinearity phenomena with the variable “MELD”. A similar model with the variable “MELD” instead of “D-MELD” was contextually constructed. In both cases, D-MELD or MELD were deleted during the backward Wald method