Table 2.

Multiple linear regression of estimated glomerular filtration rate (eGFR) according to the predictors obtained from leaps analysis.

Parameters	Predictors	Estimate (± SE)	T	P value
3-month eGFR	Intercept	112.0 ± 11.7	10.03	< 0.001
	Donor age	− 0.8 ± 0.1	− 5.96	< 0.001
	Body mass index	− 0.5 ± 0.4	− 1.27	0.21
	Cyclosporine use	− 6.7 ± 4.5	− 1.51	0.14
	Cold ischemia time	− 0.6 ± 0.3	− 2.11	0.039
	3′-UTR = MT	− 10.0 ± 5.7	− 1.74	0.086
	rs6558004 = MT	16.8 ± 5.8	2.91	0.005
6-month eGFR	Intercept	112.8 ± 8.8	12.83	< 0.001
	Donor age	− 0.8 ± 0.1	− 7.60	< 0.001
	Body mass index	− 0.6 ± 0.3	− 1.83	0.071
	Cyclosporine use	− 8.7 ± 3.7	− 2.38	0.020
	Cold ischemia time	− 0.5 ± 0.2	− 2.13	0.036
	rs6558004 = MT	5.6 ± 3.1	1.79	0.077
12-month eGFR	Intercept	115.7 ± 8.0	14.46	< 0.001
	Donor age	− 0.9 ± 0.1	− 9.00	< 0.001
	Body mass index	− 0.7 ± 0.3	− 2.35	0.022
	Cyclosporine use	− 7.7 ± 3.6	− 2.15	0.035
	Cold ischemia time	− 0.4 ± 0.2	− 1.80	0.076
	rs6558004 = MT	6.4 ± 3.9	1.63	0.11
	K55R = MT	− 7.9 ± 4.9	1.60	0.11
	2C19*2 = MT	3.7 ± 2.9	1.31	0.20
eGFR at exploration visit	Intercept	121.0 ± 11.1	10.92	< 0.001
	Donor age	− 0.9 ± 0.1	− 7.15	< 0.001
	Body mass index	− 0.9 ± 0.4	− 2.60	0.011
	Cyclosporine use	− 12.5 ± 4.5	− 2.76	0.008
	3′-UTR = MT	− 19.5 ± 12.5	− 1.56	0.12
	rs6558004 = MT	35.1 ± 13.2	2.66	0.010
	K55R = MT	− 17.0 ± 6.6	− 2.56	0.013
	R287Q = MT	12.9 ± 12.3	1.05	0.30
	2C9*3 = MT	13.5 ± 5.8	2.33	0.023