Living or deceased-donor kidney transplant: the role of psycho-socioeconomic factors and outcomes associated with each type of transplant

Table 4 Multiple analysis on the difference between serum creatinine before transplant and on the day of discharge

GEE model ^a	β	CI for β		p-value
Type of donor
Living donor	.800	.160	1.440	.014
Deceased donor (reference)
Type of dialysis
Peritoneal dialysis	.241	−.502	.984	.525
Hemodialysis	.399	−.145	.942	.151
No dialysis (reference)
Cold ischemia time	.001	−.007	.009	.843
Dialysis duration	.016	.004	.028	.012
ICU stay duration	−.583	−.643	−.522	< 0.001
Linear regression analysis^{b, c}	β	CI for β		p-value
Living donor (compared to deceased donor)	1.062	0.144	1.998	.027
Peritoneal dialysis (compared to no dialysis)	−1.233	−2.593	0.119	.076

Beta: regression coefficient, SE: standard of error
^a The dependent variable is creatinine across different time points
^b Variable(s) entered in the analysis included: donor type, type of dialysis, duration of dialysis, cold ischemia time and duration of ICU stay
^c The dependent variable is difference of serum creatinine before transplant and on the day of discharge

ISSN: 1475-9276