TABLE 5.

Independent predictors of early major complications, n = 2379

	Univariate logistic regression analysis (95% CI); P value	Multivariable logistic regression analysis (95% CI); P valuea
Risk factors of major complications*
Sex (male vs female)	1.00 (0.57-1.73); 0.99	1.11 (0.62-1.93); 0.73
Donor age	1.04 (1.01-1.07); 0.002	1.04 (1.01-1.07); 0.005
BMI
20.0–24.9 kg/m2	Ref	Ref
<20 kg/m2	2.19 (0.80-5.17); P = 0.09	2.40 (0.86-5.77); 0.07
25–29.9 kg/m2	0.88 (0.47-1.63); 0.69	0.81 (0.43-1.51); 0.51
≥30	1.09 (0.43-2.44); 0.84	1.01 (0.39-2.27); 0.99
Site of nephrectomy, left vs right	0.99 (0.54-1.83); 0.98
Year of donation
1998-2008	Ref	Ref
2009-2018	1.32 (0.74-2.39); 0.36	0.99 (0.55-1.83); 0.98
2019-2022	0.92 (0.36-2.11); 0.85	0.63 (0.23-1.53); 0.34
Surgical method
Laparoscopic transabdominal	Ref	Ref
Laparoscopic retroperitoneal	2.42 (1.39-4.31); 0.002	2.13 (1.21-3.82); 0.01
Open nephrectomy	0.51 (0.15-1.35); 0.22	0.50 (0.14-1.34); 0.21

^aThe last column represents the entire multivariable model.

Multivariable logistic regression analysis was performed to analyze the independent risk factors for major early complications*, defined as Dindo-Clavien classification ≥3a (n = 56 donors).To account for the long observation time and potential procedural changes, the years of transplantations were forced into the model as a potential confounder. Thus, the point effects of the multivariable model must be interpreted with caution. The C-statistic of the full model was 0.677.

BMI, body mass index; CI, confidence interval.