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
Published online Feb 6, 2019. doi: 10.12998/wjcc.v7.i3.270
Table 1 Donor, transplant, and recipient characteristics of the study population
Variables | Median (IQR) or n (%) |
Patients | 629 |
Recipient Male : Female | 372:257 |
Caucasian ethnicity | 279/629 (44.3) |
Afro-Caribbean ethnicity | 114/629 (18.1) |
Recipient age (yr) | 47 (36-55) |
Recipient body mass index (kg/m²) | 25.2 (22.2-27.5) |
Pre-transplant diabetes | 83/629 (13.2) |
Pre-transplant cardiovascular disease | 62/629 (9.9) |
Recipient cytomegalovirus IgG positive | 431/629 (68.5) |
Glomerular disease | 185/629 (29.4) |
Polycystic kidney disease | 71/629 (11.3) |
Tubular-interstitial nephropathy | 81/629 (12.9) |
Diabetic nephropathy | 49/629 (7.8) |
Hypertension | 55/629 (8.7) |
Unknown renal disease | 141/629 (22.4) |
Other renal disease | 47/629 (7.5) |
Haemodialysis | 295/629 (46.9) |
Peritoneal dialysis | 136/629 (21.6) |
Peritoneal dialysis and haemodialysis | 118/629 (18.8) |
Pre-emptive transplant | 80/629 (12.7) |
Panel-reactive antibody > 50% | 101/629 (16.1) |
Primary transplant | 550/629 (87.4) |
Deceased donor | 395/629 (62.8) |
Donation after brain death donor | 263/629 (41.8) |
ABO-incompatible transplant | 25/629 (4.0) |
Donor age (yr) | 48 (39-57) |
Donor-recipient gender mismatch | 340/629 (54.1) |
Donor cytomegalovirus IgG positive | 354/629 (56.3) |
Cytomegalovirus D+R- immunization | 83/629 (13.2) |
Cold ischemia time (hours) | 12 (4-16) |
Cold ischemia time >12 h | 282/629 (44.8) |
Cumulative HLA mismatch | 3 (2-4) |
HLA mismatch > 4 | 92/629 (14.6) |
Induction treatment | |
Anti-IL2-receptor antagonist | 431/629 (68.5) |
Rabbit anti-thymocyte globulin | 169/629 (26.9) |
Rituximab | 25/629 (4.0) |
Alemtuzumab | 3/629 (0.5) |
Muromonab-CD3 | 1/629 (0.2) |
Maintenance immunosuppression | |
CyA-MMF-steroid | 422/629 (67.1) |
CyA-AZA-steroid | 3/629 (0.5) |
Tacrolimus-MMF-steroid | 109/629 (17.3) |
Tacrolimus-AZA-steroid | 79/629 (12.6) |
Tacrolimus-MMF | 12/629 (1.9) |
Tacrolimus-AZA | 2/629 (0.3) |
AZA-MMF-steroid | 1/629 (0.2) |
AZA-steroid | 1/629 (0.2) |
CyA-based scheme | 425/629 (67.6) |
Tacrolimus-based scheme | 202/629 (32.1) |
CNI-free scheme | 2/629 (0.3) |
MMF-containing scheme | 544/629 (86.5) |
AZA-containing scheme | 86/629 (13.7) |
Steroid-free scheme | 14/629 (2.2) |
Cytomegalovirus prophylaxis | 241/629 (38.3) |
Table 2 Characteristics of kidney recipients with or without BK-viremia
Variables | Median (IQR) or n (%) | P | |
No BKV group | BKV group | ||
Patients | 569 | 60 | - |
Recipient Male : Female | 333 : 236 | 39 : 21 | 0.4076 |
Caucasian ethnicity | 255/569 (44.8) | 24/60 (40) | 0.4977 |
Afro-Caribbean ethnicity | 94/569 (16.5) | 20/60 (33.3) | 0.0024 |
Recipient age (years) | 47 (36-55) | 48.5 (37-53.25) | 0.7263 |
Recipient age ≥ 60 yr | 74/569 (13) | 10/60 (16.7) | 0.4255 |
Recipient BMI ≥ 30 kg/m2 | 79/569 (13.9) | 8/60 (13.3) | 1.0000 |
Pre-transplant diabetes | 77/569 (13.5) | 6/60 (10) | 0.5499 |
Pre-transplant cardiovascular disease | 55/569 (9.7) | 7/60 (11.7) | 0.5473 |
Recipient CMV IgG positive | 391/569 (68.7) | 40/60 (66.7) | 0.7707 |
Primary renal disease | |||
Glomerular disease | 167/569 (29.4) | 18/60 (30) | |
Polycystic kidney disease | 62/569 (10.9) | 9/60 (15) | |
Tubular-interstitial nephropathy | 77/569 (13.5) | 4/60 (6.7) | |
Diabetic nephropathy | 45/569 (7.9) | 4/60 (6.7) | |
Hypertension | 47/569 (8.3) | 8/60 (13.3) | |
Unknown renal disease | 130/569 (22.8) | 11/60 (18.3) | |
Other renal disease | 41/569 (7.2) | 6/60 (10) | |
Haemodialysis | 266/569 (46.7) | 28/60 (46.7) | 1.0000 |
Peritoneal dialysis | 123/569 (21.6) | 13/60 (21.7) | 1.0000 |
Pre-emptive transplant | 72/569 (12.7) | 8/60 (13.3) | 0.8395 |
Panel-reactive antibody test > 50% | 83/569 (14.6) | 18/60 (30) | 0.0047 |
Primary transplant | 497/569 (87.3) | 53/60 (88.3) | 1.0000 |
Deceased donor | 357/569 (62.7) | 38/60 (63.3) | 1.0000 |
Donation after brain death donor | 235/569 (41.3) | 27/60 (45) | 0.5848 |
ABO-incompatible transplant | 21/569 (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 yr | 115/569 (20.2) | 17/60 (28.3) | 0.1808 |
Donor-recipient gender mismatch | 308/569 (54.1) | 32/60 (53.3) | 1.0000 |
Donor CMV IgG positive | 323/569 (56.8) | 31/60 (51.7) | 0.4947 |
Cytomegalovirus D+R- immunization | 79/569 (13.9) | 4/60 (6.7) | 0.1582 |
Cold ischemia time (h) | 12 (4-16) | 12 (4-17.25) | 0.9920 |
Cumulative HLA mismatch | 3 (2-4) | 3 (2-5) | 0.0759 |
HLA mismatch > 4 | 76/569 (13.4) | 16/60 (26.7) | 0.0110 |
HLA-A mismatch | 1 (1-2) | 1 (1-2) | 0.6079 |
HLA-B mismatch | 1 (1-1) | 1 (1-2) | 0.1896 |
HLA-DR mismatch | 1(0-1) | 1 (0-1.25) | 0.0482 |
Induction treatment | |||
Anti-IL2-receptor antagonist | 388/569 (68.2) | 43/60 (71.7) | |
Rabbit anti-thymocyte globulin | 156/569 (27.4) | 13/60 (21.7) | |
Rituximab | 21/569 (3.7) | 4/60 (6.7) | |
Alemtuzumab | 3/569 (0.5) | 0/60 (0) | |
Muromonab-CD3 | 1/569 (0.2) | 0/60 (0) | |
Maintenance immunosuppression | |||
CyA-based scheme | 385/569 (67.7) | 40/60 (66.7) | |
Tacrolimus-based scheme | 182/569 (32.0) | 20/60 (33.3) | |
MMF-containing scheme | 490/569 (86.1) | 54/60 (90) | |
AZA-containing scheme | 80/569 (14.1) | 6/60 (10) | |
CNI-free scheme | 2/569 (0.4) | 0/60 (0) | |
Steroid-free scheme | 13/569 (2.3) | 1/60 (1.7) | |
Cytomegalovirus prophylaxis | 224/569 (39.4) | 17/60 (28.3) | 0.1239 |
DGF | 152/569 (26.7) | 15/60 (25) | 0.8783 |
BPR within 30 d of transplantation | 54/569 (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)
Variables | Median (IQR) or n (%) | P | |
No PVAN group | PVAN group | ||
Patients | 20 | 40 | |
Recipient Male : Female | 13 : 7 | 26 : 14 | 1.0000 |
Caucasian ethnicity | 9/20 (45) | 15/40 (37.5) | 0.5896 |
Afro-Caribbean ethnicity | 4/20 (20) | 16/40 (40) | 0.1536 |
Recipient age (yr) | 49 (33.5-58) | 48.5 (37.75-53) | 0.8887 |
Pre-transplant diabetes | 1/20 (5) | 5/40 (12.5) | 0.6532 |
Pre-transplant CVD | 4/20 (20) | 3/40 (7.5) | 0.2077 |
Recipient CMV IgG positive | 13/20 (65) | 27/40 (67.5) | 1.0000 |
Haemodialysis | 9/20 (45) | 19/40 (47.5) | 1.0000 |
Peritoneal dialysis | 6/20 (30) | 7/40 (17.5) | 0.3258 |
Pre-emptive transplant | 2/20 (10) | 6/40 (15) | 0.7068 |
PRA test > 50% | 6/20 (30) | 12/40 (30) | 1.0000 |
Primary transplant | 17/20 (85) | 36/40 (90) | 0.6763 |
Deceased donor | 13/20 (65) | 25/40 (62.5) | 1.0000 |
ABO-incompatible transplant | 1/20 (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 yr | 8/20 (40) | 9/40 (22.5) | 0.2246 |
Donor CMV IgG positive | 7/20 (35) | 24/40 (60) | 0.1004 |
CMV D+R- immunization | 1/20 (5) | 3/40 (7.5) | 1.0000 |
Cold ischemia time (h) | 14.25 (4.3-21.5) | 12 (4-15) | 0.4413 |
Cumulative HLA mismatch | 3 (3-4.25) | 3 (2-5) | 0.4654 |
HLA mismatch > 4 | 5/20 (25) | 11/40 (27.5) | 1.0000 |
HLA-A mismatch | 1 (1-1.25) | 1 (1-2) | 0.78716 |
HLA-B mismatch | 1 (1-2) | 1 (1-2) | 0.25014 |
HLA-DR mismatch | 1 (0-1.25) | 1 (0-1.25) | 0.8181 |
Induction immunosuppression | |||
Anti-IL2-receptor antagonist | 15/20 (75) | 28/40 (70) | |
Anti-thymocyte globulin | 4/20 (20) | 9/40 (22.5) | |
Rituximab | 1/20 (5) | 3/40 (7.5) | |
Maintenance immunosuppression | |||
CyA-based scheme | 14/20 (70) | 26/40 (65) | |
Tacrolimus-based scheme | 6/20 (30) | 14/40 (35) | |
MMF-containing scheme | 19/20 (95) | 35/40 (87.5) | |
AZA-containing scheme | 1/20 (5) | 5/40 (12.5) | |
CNI-free scheme | 0/20 (0) | 0/40 (0) | |
Steroid-free scheme | 0/20 (0) | 1/40 (2.5) | |
CMV prophylaxis | 4/20 (20) | 13/40 (32.5) | 0.3752 |
DGF | 6/20 (30) | 9/40 (22.5) | 0.5424 |
BPR within 30 d of transplant | 4/20 (20) | 9/40 (22.5) | 1.0000 |
Initial viremia ≥ 10000 copies/mL | 3/20 (15) | 37/40 (92.5) | < 0.00001 |
Initial viral load (copies/mL) | 6000 (2975-7550) | 134800 (28750-425000) | < 0.00001 |
BKV viremia ≥ 3 wk | 5/20 (25) | 38/40 (95) | < 0.00001 |
Table 4 Final multivariable model for the risk of BK-viremia in a cohort of kidney transplant recipients
Variable | OR | 95%CI | P |
Afro-Caribbean ethnicity | 2.882 | 1.549; 5.259 | 0.001 |
Panel-reactive antibody > 50% | 3.352 | 1.737; 6.338 | < 0.001 |
HLA mismatch > 4 | 2.585 | 1.303; 4.955 | 0.005 |
CMV Prophylaxis | 0.467 | 0.244; 0.854 | 0.017 |
BPR within 30 d of transplant | 2.342 | 1.117; 4.664 | 0.019 |
Table 5 Final multivariable model for the risk of Polyomavirus-associated nephropathy in a cohort of kidney transplant recipients
Variable | OR | 95%CI | P |
Afro-Caribbean ethnicity | 2.717 | 0.705-12.458 | 0.164 |
Cardiovascular disease | 0.235 | 0.034-1.42 | 0.117 |
Donor Age ≥ 60 yr | 0.243 | 0.055-0.949 | 0.048 |
Recipient CMV IgG positive | 4.371 | 1.261-17.968 | 0.027 |
- Citation: Favi E, Puliatti C, Sivaprakasam R, Ferraresso M, Ambrogi F, Delbue S, Gervasi F, Salzillo I, Raison N, Cacciola R. Incidence, risk factors, and outcome of BK polyomavirus infection after kidney transplantation. World J Clin Cases 2019; 7(3): 270-290
- URL: https://www.wjgnet.com/2307-8960/full/v7/i3/270.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v7.i3.270