Observational Study
Copyright ©The Author(s) 2019.
World J Clin Cases. Feb 6, 2019; 7(3): 270-290
Published online Feb 6, 2019. doi: 10.12998/wjcc.v7.i3.270
Table 1 Donor, transplant, and recipient characteristics of the study population
VariablesMedian (IQR) or n (%)
Patients629
Recipient Male : Female372:257
Caucasian ethnicity279/629 (44.3)
Afro-Caribbean ethnicity114/629 (18.1)
Recipient age (yr)47 (36-55)
Recipient body mass index (kg/m²)25.2 (22.2-27.5)
Pre-transplant diabetes83/629 (13.2)
Pre-transplant cardiovascular disease62/629 (9.9)
Recipient cytomegalovirus IgG positive431/629 (68.5)
Glomerular disease185/629 (29.4)
Polycystic kidney disease71/629 (11.3)
Tubular-interstitial nephropathy81/629 (12.9)
Diabetic nephropathy49/629 (7.8)
Hypertension55/629 (8.7)
Unknown renal disease141/629 (22.4)
Other renal disease47/629 (7.5)
Haemodialysis295/629 (46.9)
Peritoneal dialysis136/629 (21.6)
Peritoneal dialysis and haemodialysis118/629 (18.8)
Pre-emptive transplant80/629 (12.7)
Panel-reactive antibody > 50%101/629 (16.1)
Primary transplant550/629 (87.4)
Deceased donor395/629 (62.8)
Donation after brain death donor263/629 (41.8)
ABO-incompatible transplant25/629 (4.0)
Donor age (yr)48 (39-57)
Donor-recipient gender mismatch340/629 (54.1)
Donor cytomegalovirus IgG positive354/629 (56.3)
Cytomegalovirus D+R- immunization83/629 (13.2)
Cold ischemia time (hours)12 (4-16)
Cold ischemia time >12 h282/629 (44.8)
Cumulative HLA mismatch3 (2-4)
HLA mismatch > 492/629 (14.6)
Induction treatment
Anti-IL2-receptor antagonist431/629 (68.5)
Rabbit anti-thymocyte globulin169/629 (26.9)
Rituximab25/629 (4.0)
Alemtuzumab3/629 (0.5)
Muromonab-CD31/629 (0.2)
Maintenance immunosuppression
CyA-MMF-steroid422/629 (67.1)
CyA-AZA-steroid3/629 (0.5)
Tacrolimus-MMF-steroid109/629 (17.3)
Tacrolimus-AZA-steroid79/629 (12.6)
Tacrolimus-MMF12/629 (1.9)
Tacrolimus-AZA2/629 (0.3)
AZA-MMF-steroid1/629 (0.2)
AZA-steroid1/629 (0.2)
CyA-based scheme425/629 (67.6)
Tacrolimus-based scheme202/629 (32.1)
CNI-free scheme2/629 (0.3)
MMF-containing scheme544/629 (86.5)
AZA-containing scheme86/629 (13.7)
Steroid-free scheme14/629 (2.2)
Cytomegalovirus prophylaxis241/629 (38.3)
Table 2 Characteristics of kidney recipients with or without BK-viremia
VariablesMedian (IQR) or n (%)
P
No BKV groupBKV group
Patients56960-
Recipient Male : Female333 : 23639 : 210.4076
Caucasian ethnicity255/569 (44.8)24/60 (40)0.4977
Afro-Caribbean ethnicity94/569 (16.5)20/60 (33.3)0.0024
Recipient age (years)47 (36-55)48.5 (37-53.25)0.7263
Recipient age ≥ 60 yr74/569 (13)10/60 (16.7)0.4255
Recipient BMI ≥ 30 kg/m279/569 (13.9)8/60 (13.3)1.0000
Pre-transplant diabetes77/569 (13.5)6/60 (10)0.5499
Pre-transplant cardiovascular disease55/569 (9.7)7/60 (11.7)0.5473
Recipient CMV IgG positive391/569 (68.7)40/60 (66.7)0.7707
Primary renal disease
Glomerular disease167/569 (29.4)18/60 (30)
Polycystic kidney disease62/569 (10.9)9/60 (15)
Tubular-interstitial nephropathy77/569 (13.5)4/60 (6.7)
Diabetic nephropathy45/569 (7.9)4/60 (6.7)
Hypertension47/569 (8.3)8/60 (13.3)
Unknown renal disease130/569 (22.8)11/60 (18.3)
Other renal disease41/569 (7.2)6/60 (10)
Haemodialysis266/569 (46.7)28/60 (46.7)1.0000
Peritoneal dialysis123/569 (21.6)13/60 (21.7)1.0000
Pre-emptive transplant72/569 (12.7)8/60 (13.3)0.8395
Panel-reactive antibody test > 50%83/569 (14.6)18/60 (30)0.0047
Primary transplant497/569 (87.3)53/60 (88.3)1.0000
Deceased donor357/569 (62.7)38/60 (63.3)1.0000
Donation after brain death donor235/569 (41.3)27/60 (45)0.5848
ABO-incompatible transplant21/569 (3.7)4/60 (6.7)0.2856
Donor age (yr)47 (38-57)51.5 (40.75-60.25)0.0483
Donor age ≥ 60 yr115/569 (20.2)17/60 (28.3)0.1808
Donor-recipient gender mismatch308/569 (54.1)32/60 (53.3)1.0000
Donor CMV IgG positive323/569 (56.8)31/60 (51.7)0.4947
Cytomegalovirus D+R- immunization79/569 (13.9)4/60 (6.7)0.1582
Cold ischemia time (h)12 (4-16)12 (4-17.25)0.9920
Cumulative HLA mismatch3 (2-4)3 (2-5)0.0759
HLA mismatch > 476/569 (13.4)16/60 (26.7)0.0110
HLA-A mismatch1 (1-2)1 (1-2)0.6079
HLA-B mismatch1 (1-1)1 (1-2)0.1896
HLA-DR mismatch1(0-1)1 (0-1.25)0.0482
Induction treatment
Anti-IL2-receptor antagonist388/569 (68.2)43/60 (71.7)
Rabbit anti-thymocyte globulin156/569 (27.4)13/60 (21.7)
Rituximab21/569 (3.7)4/60 (6.7)
Alemtuzumab3/569 (0.5)0/60 (0)
Muromonab-CD31/569 (0.2)0/60 (0)
Maintenance immunosuppression
CyA-based scheme385/569 (67.7)40/60 (66.7)
Tacrolimus-based scheme182/569 (32.0)20/60 (33.3)
MMF-containing scheme490/569 (86.1)54/60 (90)
AZA-containing scheme80/569 (14.1)6/60 (10)
CNI-free scheme2/569 (0.4)0/60 (0)
Steroid-free scheme13/569 (2.3)1/60 (1.7)
Cytomegalovirus prophylaxis224/569 (39.4)17/60 (28.3)0.1239
DGF152/569 (26.7)15/60 (25)0.8783
BPR within 30 d of transplantation54/569 (9.5)13/60 (21.7)0.0073
Table 3 Characteristics of kidney recipients with BK-viremia and negative (No polyomavirus-associated nephropathy group) or positive allograft histology (Polyomavirus-associated nephropathy group)
VariablesMedian (IQR) or n (%)
P
No PVAN groupPVAN group
Patients2040
Recipient Male : Female13 : 726 : 141.0000
Caucasian ethnicity9/20 (45)15/40 (37.5)0.5896
Afro-Caribbean ethnicity4/20 (20)16/40 (40)0.1536
Recipient age (yr)49 (33.5-58)48.5 (37.75-53)0.8887
Pre-transplant diabetes1/20 (5)5/40 (12.5)0.6532
Pre-transplant CVD4/20 (20)3/40 (7.5)0.2077
Recipient CMV IgG positive13/20 (65)27/40 (67.5)1.0000
Haemodialysis9/20 (45)19/40 (47.5)1.0000
Peritoneal dialysis6/20 (30)7/40 (17.5)0.3258
Pre-emptive transplant2/20 (10)6/40 (15)0.7068
PRA test > 50%6/20 (30)12/40 (30)1.0000
Primary transplant17/20 (85)36/40 (90)0.6763
Deceased donor13/20 (65)25/40 (62.5)1.0000
ABO-incompatible transplant1/20 (5)3/40 (7.5)1.0000
Donor age (yr)53.5 (42.25-62.75)51 (40.75-57)0.30302
Donor age ≥ 60 yr8/20 (40)9/40 (22.5)0.2246
Donor CMV IgG positive7/20 (35)24/40 (60)0.1004
CMV D+R- immunization1/20 (5)3/40 (7.5)1.0000
Cold ischemia time (h)14.25 (4.3-21.5)12 (4-15)0.4413
Cumulative HLA mismatch3 (3-4.25)3 (2-5)0.4654
HLA mismatch > 45/20 (25)11/40 (27.5)1.0000
HLA-A mismatch1 (1-1.25)1 (1-2)0.78716
HLA-B mismatch1 (1-2)1 (1-2)0.25014
HLA-DR mismatch1 (0-1.25)1 (0-1.25)0.8181
Induction immunosuppression
Anti-IL2-receptor antagonist15/20 (75)28/40 (70)
Anti-thymocyte globulin4/20 (20)9/40 (22.5)
Rituximab1/20 (5)3/40 (7.5)
Maintenance immunosuppression
CyA-based scheme14/20 (70)26/40 (65)
Tacrolimus-based scheme6/20 (30)14/40 (35)
MMF-containing scheme19/20 (95)35/40 (87.5)
AZA-containing scheme1/20 (5)5/40 (12.5)
CNI-free scheme0/20 (0)0/40 (0)
Steroid-free scheme0/20 (0)1/40 (2.5)
CMV prophylaxis4/20 (20)13/40 (32.5)0.3752
DGF6/20 (30)9/40 (22.5)0.5424
BPR within 30 d of transplant4/20 (20)9/40 (22.5)1.0000
Initial viremia ≥ 10000 copies/mL3/20 (15)37/40 (92.5)< 0.00001
Initial viral load (copies/mL)6000 (2975-7550)134800 (28750-425000)< 0.00001
BKV viremia ≥ 3 wk5/20 (25)38/40 (95)< 0.00001
Table 4 Final multivariable model for the risk of BK-viremia in a cohort of kidney transplant recipients
VariableOR95%CIP
Afro-Caribbean ethnicity2.8821.549; 5.2590.001
Panel-reactive antibody > 50%3.3521.737; 6.338< 0.001
HLA mismatch > 42.5851.303; 4.9550.005
CMV Prophylaxis0.4670.244; 0.8540.017
BPR within 30 d of transplant2.3421.117; 4.6640.019
Table 5 Final multivariable model for the risk of Polyomavirus-associated nephropathy in a cohort of kidney transplant recipients
VariableOR95%CIP
Afro-Caribbean ethnicity2.7170.705-12.4580.164
Cardiovascular disease0.2350.034-1.420.117
Donor Age ≥ 60 yr0.2430.055-0.9490.048
Recipient CMV IgG positive4.3711.261-17.9680.027