| Literature DB >> 28058220 |
Mahmoud Kamel1, Manish Kadian1, Titte Srinivas1, David Taber1, Maria Aurora Posadas Salas1.
Abstract
AIM: To compare the impact of tacrolimus (FK) and cyclosporine (CYA) on acute rejection and graft survival and to assess the predominant causes of graft loss between patients receiving these two calcineurin inhibitors (CNIs).Entities:
Keywords: Cyclosporine; Renal allograft survival; Tacrolimus
Year: 2016 PMID: 28058220 PMCID: PMC5175228 DOI: 10.5500/wjt.v6.i4.697
Source DB: PubMed Journal: World J Transplant ISSN: 2220-3230
Characteristics of patients in tacrolimus and cyclosporine group n (%)
| Mean recipient age (yr) | 49 ± 12 | 50 ± 13 | 0.059 |
| Race | 0.96 | ||
| Non-African American | 281 (44) | 526 (44) | |
| African-American | 359 (56) | 669 (56) | |
| Sex | 0.78 | ||
| Male | 371 (58) | 693 (58) | |
| Female | 269 (42) | 502 (42) | |
| BMI | 26 ± 7 | 28 ± 5 | 0.462 |
| Etiology of kidney disease | |||
| DM | 172 (26.9) | 375 (31.4) | 0.044 |
| HTN | 317 (49.5) | 559 (46.8) | 0.26 |
| FSGS | 36 (5.6) | 78 (7.3) | 0.177 |
| IgA nephropathy | 24 (3.8) | 34 (2.8) | 0.291 |
| Polycystic kidney | 63 (9.8) | 89 (7.4) | 0.076 |
| History of DM | 186 (29) | 394 (33) | 0.092 |
| History of HTN | 595 (93) | 1135 (95) | 0.122 |
| History of heart disease | 134 (21) | 227 (19) | 0.38 |
| Years on dialysis | 3 ± 2.4 | 3 ± 2.9 | 0.01 |
| PRA | 5% | 17% | < 0.010 |
| Preemptive transplant | 122 (19) | 239 (20) | 0.49 |
| Living donor transplant | 122 (19) | 179 (15) | 0.27 |
| CIT (h) | 13 ± 9 | 16 ± 9 | 0.621 |
| Mean donor age (yr) | 31 ± 18 | 36 ± 16 | < 0.010 |
| KDRI | 0.9 ± 0.6 | 1.3 ± 0.4 | < 0.010 |
| African-American donor | 122 (19) | 203 (17) | 0.27 |
| Induction therapy | < 0.010 | ||
| Cytolytic agents | 70 (11) | 550 (46) | |
| IL-2 receptor antagonist | 570 (89) | 645 (54) |
DM: Diabetes mellitus; HTN: Hypertension; FSGS: Focal segmental glomerulosclerosis; PRA: Panel reactive antibody; CIT: Cold ischemia time; KDRI: Kidney donor risk index.
Clinical outcomes
| Mean glomerular filtration rate | 56 ± 19 | 46 ± 17 | 0.09 |
| Delayed graft function | 179 (15) | 115 (18) | 0.049 |
| Acute rejection (biopsy proven) | 167 (14) | 154 (24) | < 0.010 |
| Three years graft survival | 88% | 79% | < 0.010 |
| Five years graft survival | 84% | 70% | < 0.010 |
Multivariate analysis of factors associated with acute rejection
| CNI tacrolimus | 0.6 | 0.45-0.79 | < 0.001 |
| Retransplant | 1.43 | 0.91-2.24 | 0.123 |
| PRA | 1 | 0.99-1.00 | 0.529 |
| Cytolytic induction | 0.5 | 0.36-0.69 | < 0.001 |
CNI: Calcineurin inhibitor; PRA: Panel reactive antibody.
Multivariate analysis of factors associated with graft loss
| CNI tacrolimus | 0.74 | 0.58-0.94 | 0.012 |
| History of DM | 1.41 | 1.13-1.76 | 0.002 |
| History of HTN | 0.56 | 0.34-0.94 | 0.029 |
| Delayed graft function | 2.1 | 1.66-2.66 | < 0.001 |
| Acute rejection | 1.59 | 1.26-2.01 | < 0.001 |
CNI: Calcineurin inhibitor; DM: Diabetes mellitus; HTN: Hypertension.
Figure 1Kaplan Meier curve showing effect of tacrolimus vs cyclosporine on graft survival.
Graft loss n (%)
| Death with functioning graft | 61 (58) | 66 (54) | 0.55 |
| Cause of death | 0.85 | ||
| Cardiovascular disease | 19 (18) | 19 (15) | |
| Infections | 10 (9) | 9 (7) | |
| Malignancy | 10 (9) | 9 (7) | |
| Others | 33 (31) | 41 (33) | |
| Causes of graft loss | 0.44 | ||
| Chronic allograft nephropathy | 18 (17) | 29 (24) | |
| Acute rejection | 14 (13) | 11 (9) | |
| Acute on chronic rejection | 8 (8) | 13 (11) | |
| Recurrent disease | 1 (1) | 1 (1) | |
| Death | 63 (59) | 68 (55) | |
| Component of non- adherence | 15 (14) | 20 (16) | 0.65 |
| Component of underimmunosuppression | 21 (20) | 25 (20) | 0.92 |