| Literature DB >> 31409321 |
Marcus Faria Lasmar1,2,3, Rodrigo Santana Dutra1,3, José Augusto Nogueira-Machado2, Raquel A Fabreti-Oliveira3,4, Raquel Gomes Siqueira3, Evaldo Nascimento5,6.
Abstract
BACKGROUND: In kidney transplantation, immunotherapy with thymoglobulin (rATG) has been used to down-regulate the patient immune system. rATG is a powerful immunobiologic drug used to deplete lymphocytes to prevent early acute rejection. The aim of this research was to evaluate the effects of immunotherapy by rATG on graft suvival during a 9-year period in kidney-transplanted patients with different immunological profiles.Entities:
Keywords: Graft survival; Immunotherapy induction; Kidney transplantation; Outcome; Risk of rejection; Thymoglobulin
Mesh:
Substances:
Year: 2019 PMID: 31409321 PMCID: PMC6693276 DOI: 10.1186/s12882-019-1497-5
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Demographic and clinical data of patients by type of donor and risk groups for antibody-mediated rejection
| Variable | LD ( | DD ( | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| G1 | G2 | G3 | G4 | G1 | G2 | G3 | G4 | |||
| Number of patients | 191 (74.90%) | 41 (16.08%) | 12 (4.71%) | 11 (4.31%) | 150 (70.09%) | 34 (15.89%) | 14 (6.54%) | 16 (7.48%) | ||
| Gender | ||||||||||
| | 143 (74.87%) | 13 (31.71%) | 1 (8.33%) | 4 (36.36%) |
| 111 (74.00%) | 25 (73.53%) | 3 (21.43%) | 7 (43.75%) |
|
| | 48 (25.13%) | 28 (68.29%) | 11 (91.67%) | 7 (63.64%) | 39 (26.00%) | 9 (26.47%) | 11 (78.57%) | 9 (56.25%) | ||
| Age (years) ± SDV | 41.49 ± 11.58 | 41.88 ± 11.45 | 38.33 ± 8.283 | 46.45 ± 12.396 | 0.396 | 48.50 ± 11.83 | 51.38 ± 14.67 | 45.64 ± 15.16 | 45.94 ± 13.68 | 0.377 |
| ABO group ( | ||||||||||
| | 94 (49.47%) | 24 (58.54%) | 5 (41.67%) | 6 (54.55%) | 0.559 | 68 (45.64%) | 15 (44.12%) | 5 (35.71%) | 10 (62.50%) | 0.891 |
| | 69 (36.32%) | 12 (29.27%) | 7 (58.33%) | 3 (27.27%) | 57 (38.26%) | 13 (38.24%) | 6 (42.86%) | 3 (18.75%) | ||
| | 23 (12.11%) | 4 (9.76%) | 0 (0%) | 1 (9.09%) | 11 (7.38%) | 3 (8.82%) | 2 (14.29%) | 2 (12.50%) | ||
| | 4 (2.11%) | 1 (2.44%) | 0 (0%) | 1 (9.09%) | 13 (8.72%) | 3 (8.82%) | 1 (7.14%) | 1 (6.25%) | ||
| Etiology of CKD | ||||||||||
| | 16 (8.38%) | 8 (19.51%) | 1 (8.33%) | 2 (18.18%) | 0.616 | 28 (18.67%) | 6 (17.65%) | 2 (14.29%) | 1 (6.25%) | 0.246 |
| | 21 (10.99%) | 3 (7.32%) | 0 (0%) | 1 (9.09%) | 25 (16.67%) | 4 (11.76%) | 2 (14.29%) | 3 (18.75%) | ||
| | 45 (23.56%) | 9 (21.95%) | 3 (25.00%) | 1 (9.09%) | 23 (15.33%) | 9 (26.47%) | 1 (7.14%) | 1 (6.25%) | ||
| | 18 (9.42%) | 3 (7.32%) | 1 (8.33%) | 1 (9.09%) | 17 (11.33%) | 3 (8.82%) | 2 (14.29%) | 1 (6.25%) | ||
| | 83 (43.46%) | 15 (36.59%) | 5 (41.67%) | 6 (54.55%) | 54 (36.00%) | 8 (23.53%) | 7 (50.00%) | 8 (50.00%) | ||
| | 8 (4.19%) | 3 (7.32%) | 2 (16.67%) | 0 (0%) | 3 (2.00%) | 4 (11.76%) | 0 (0%) | 2 (12.50%) | ||
| Type of dialysis | ||||||||||
| | 148 (77.49%) | 36 (87.80%) | 11 (91.67%) | 11 (100.00%) | 0.141 | 142 (94.67%) | 32 (94.12%) | 12 (85.71%) | 16 (100.0%) | 0.672 |
| | 14 (7.33%) | 1 (2.44%) | 0 (0%) | 0 (0%) | 6 (4.00%) | 1 (2.94%) | 1 (7.14%) | 0 (0%) | ||
| | 29 (15.18%) | 4 (9.76%) | 1 (8.33%) | 0 (0%) | 2 (1.33%) | 1 (2.94%) | 1 (7.14%) | 0 (0%) | ||
| Time in dialysis (mo) ± SDV | 21.09 ± 24.12 | 34.93 ± 34.07 | 51.25 ± 65.06 | 30.45 ± 21.36 |
| 55.29 ± 40.13 | 52.91 ± 34.64 | 52.57 ± 27.28 | 64.88 ± 43.58 | 0.762 |
| DGF | ||||||||||
| | – | – | – | – | 94 (62.67%) | 18 (52.94%) | 6 (42.86%) | 12 (75.00%) | 0.227 | |
| | – | – | – | 56 (37.33%) | 16 (47.06%) | 8 (57.14%) | 4 (25.00%) | |||
| Cold ischemia time (h) ± SDV | – | – | – | – | 16.74 ± 5.57 | 17.28 ± 6.72 | 14.91 ± 4.39 | 19.04 ± 5.72 | 0.272 | |
| Expanded criteria | – | – | – | |||||||
| | – | – | – | – | 36 (24.00%) | 3 (8.82%) | 1 (7.14%) | 7 (43.75%) |
| |
| | – | – | – | 114 (76.00%) | 31 (91.18%) | 13 (92.86%) | 9 (56.25%) | |||
CKD chronic kidney disease, DGF delayed graft function
P-values in boldface are statistically significant
Nine-year outcomes among 469 patients with different immunological risks transplanted with kidneys from living (LD) and deceased donors (DD)
| Variable | LD ( | DD ( | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| G1 ( | G2 ( | G3 ( | G4 ( | Total | G1 ( | G2 ( | G3 ( | G4 ( | Total | |
| Rejection episodes | ||||||||||
| TCMR | 31 (16.23%) | 8 (19.51%) | 2 (16.67%) | 1 (9.09%) | 42 (16.47%) | 30 (20.00%) | 5 (14.71%) | 2 (14.29%) | 0 | 37 (17.29%) |
| AMR | 4 (2.094%) | 1 (2.44%) | 1 (8.34%) | 2 (18.18%) | 8 (3.14%) | 7 (4.67%) | 3 (8.82%) | 2 (14.29%) | 1 (6.25%) | 13 (6.07%) |
| TCMR/AMR | 0 | 0 | 0 | 0 | 1 (0.67%) | 1 (2.94%) | 0 | 0 | 2 (0.93%) | |
| Graft loss | ||||||||||
| TCMR | 4 (2.09%) | 0 | 0 | 0 | 4 (1.57%) | 1 (0.67%) | 0 | 0 | 0 | 1 (0.47%) |
| AMR | 1 (0.53%) ID359: DR7 (2170); DR9 (4081) | 0 | 0 | 1 (9.09%) ID363: B18 (1342) | 2 (0.78%) | 0 | 3 (8.82%) | 0 | 0 | 3 (1.40%) |
| ID97: A11 (6612); B44 (15026) | ||||||||||
| ID233: A1 (815); B52 (1507) | ||||||||||
| ID290: A23 (1906); B65 (1078); DR1 (1614) | ||||||||||
| Other causes of graft loss | ||||||||||
| Cardiovascular | 4 (2.09%) | 0 | 0 | 0 | 0 | 1 (0.67%) | 0 | 0 | 0 | 1 (0.47%) |
| Infections | 12 (6.28%%) | 1 (2.44) | 0 | 0 | 5 (1.96%) | 9 (6.00%) | 2 (5.88%) | 0 | 1 (6.25%) | 4 (1.87%) |
| Death | 21 (10.99%) | 2 (4.88%) | 1 (8.33%) | 0 | 20 (7.84%) | 20 (13.33%) | 10 (29.42%) | 2 (14.29%) | 3 (18.75%) | 32 (14.95%) |
| Other | 22 (11.52%) | 4 (9.76%) | 0 | 0 | 22 (8.63%) | 18 (12.0%) | 4 (11.76%) | 1 (7.14%) | 0 | 19 (8.88%) |
| HLA mismatching | ||||||||||
| 0 | 34 (17.80%) | 8 (19.51%) | 4 (33.33%) | 0 (0%) | 0.128 | 2 (1.33%) | 0 | 0 (0%) | 0 (0%) | 0.053 |
| 1–3 | 90 (47.12%) | 21 (51.22%) | 6 (50.00%) | 9 (81.82%) | 91 (60.67%) | 23 (67.65%) | 11 (78.57%) | 4 (25.00%) | ||
| 4–6 | 67 (35.08%) | 12 (29.27%) | 2 (16.67%) | 2 (18.18%) | 57 (38.00%) | 11 (32.35%) | 3 (21.43%) | 12 (75.00%) | ||
| Creatinine (mean ± SD) | ||||||||||
| Months | ||||||||||
| 1 | 1.72 ± 1.16 | 1.44 ± 0.73 | 1.65 ± 1.42 | 1.42 ± 0.40 | 0.468 | 2.39 ± 1.66 | 2.44 ± 1.49 | 2.28 ± 1.88 | 2.74 ± 1.43 | 0.854 |
| 3 | 1.63 ± 1.00 | 1.28 ± 0.40 | 1.35 ± 0.41 | 1.37 ± 0.30 | 0.107 | 1.99 ± 1.30 | 1.86 ± 1.13 | 1.57 ± 0.62 | 2.34 ± 1.13 | 0.411 |
| 6 | 1.58 ± 0.87 | 1.24 ± 0.37 | 1.28 ± 0.27 | 1.32 ± 0.30 | 0.066 | 1.75 ± 0.89 | 2.06 ± 1.94 | 1.53 ± 0.44 | 2.09 ± 0.96 | 0.320 |
| Years | ||||||||||
| 1 | 1.52 ± 0.76 | 1.33 ± 0.57 | 1.21 ± 0.27 | 1.29 ± 0.49 | 0.215 | 1.73 ± 0.93 | 1.56 ± 0.67 | 1.42 ± 0.68 | 1.72 ± 0.57 | 0.610 |
| 3 | 1.45 ± 0.55 | 1.41 ± 0.68 | 1.13 ± 0.24 | 1.73 ± 1.42 | 0.273 | 1.72 ± 1.18 | 1.73 ± 1.04 | 1.41 ± 0.70 | 1.64 ± 0.40 | 0.907 |
| 5 | 1.54 ± 0.83 | 1.46 ± 0.55 | 0.99 ± 0.20 | 1.12 ± 0.34 | 0.329 | 1.53 ± 0.77 | 1.30 ± 0.45 | 1.25 ± 0.27 | 1.63 ± 0.46 | 0.735 |
| 7 | 1.25 ± 0.50 | 1.52 ± 0.58 | 1.05 ± 0.37 | 0.94 ± 0.72 | 0.427 | – | – | – | – | – |
| 9 | – | – | – | – | – | – | – | – | – | – |
Hazard rates for predictive variables of risk for graft loss in transplanted patients with a kidney from a deceased donor
| Predictive variable | Hazard rate (CI = 95%) | |
|---|---|---|
| Age of donor | 1.032 (1.006–1.058) |
|
| Change in the TDMI | 0.519 (0.271–0.981) |
|
| Immunological profile: | ||
| G1 | – | – |
| G2 | 1.845 (1.093–3.661) |
|
| G3a | 1.454 (0.336–3.287) | 0.617 |
| G4 | 0.667 (0.199–2.240) | 0.513 |
CI confidence interval, G group, TDMI triple-drug maintenance immunosuppression. aImmunotherapy
P-values in boldface are statistically significant
Fig. 1Analysis of graft survival by Kaplan-Meier method in groups of patients with different immunological risks of antibody-mediated rejection. a: living donor. b: deceased donor. G1: low risk, not sensitized recipients, solid-phase immunoassay with single antigen beads (SPI-SAB) < 10%; G2: medium risk I, sensitized recipients, SPI-SAB ≥ 10 < 50%; G3: medium risk II sensitized (SPI-SAB ≥50%); G4: high-risk, sensitized recipients, SPI-SAB-DSA+. For patients who received DD, statically significant differences were found only in the comparison between G1 versus G2 (P = 0.005) and G2 versus G4 (P = 0.047)