| Literature DB >> 30309322 |
Gastón J Piñeiro1,2, Erika De Sousa-Amorim1, Manel Solé3, José Ríos4,5, Miguel Lozano6, Frederic Cofán1, Pedro Ventura-Aguiar1,2, David Cucchiari1,2, Ignacio Revuelta1,2,7, Joan Cid6, Eduard Palou8, Josep M Campistol1,7, Federico Oppenheimer1, Jordi Rovira9,10, Fritz Diekmann11,12,13.
Abstract
BACKGROUND: Chronic active antibody-mediated rejection (c-aABMR) is an important cause of allograft failure and graft loss in long-term kidney transplants.Entities:
Keywords: Chronic active antibody-mediated rejection; Infections; Kidney transplantation; Rituximab; Transplant glomerulopathy
Mesh:
Substances:
Year: 2018 PMID: 30309322 PMCID: PMC6182805 DOI: 10.1186/s12882-018-1057-4
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Demographic and clinical characteristics
| Treatment | Control | ||
|---|---|---|---|
| Dialysis vintage (months) | 32.6 ± 24.2 | 41.3 ± 38.7 | 0.37 |
| Donor Age | 43.05 ± 15.69 | 50.89 ± 11.99 | 0.008 |
| Donor type (Living donor) | 9 (39.1%) | 12 (30.7%) | 0.5 |
| First kidney transplant | 13 (56.5%) | 27 (69.2%) | 0.31 |
| HLA mistmatch (A, B, DR) | 3.27 ± 1.1 | 3.8 ± 1.5 | 0.12 |
| Desensitization (PE + RTX) | 1 (4.34%) | 1 (2.56%) | 0.7 |
| Induction (Yes) | 16 (69.56%) | 30 (76.92%) | 0.52 |
| Thymoglobulin / ATG | 10 (43.48%) | 15 (38.46%) | 0.7 |
| Basiliximab | 3 (13.04%) | 13 (33.3%) | 0.8 |
| Other | 3 (13.04%) | 2 (5.12%) | 0.3 |
| IS at time of transplantation n (%) | |||
| Tacrolimus + MMF/MPA + PDN | 12 (52.2%) | 24 (58.9%) | |
| Cyclosporine + MMF/MPA + PDN | 3 (13.04%) | 5 (12.82%) | |
| Cyclosporine + PDN | 5 (21.74%) | 3 (7.69%) | |
| mTORi + MMF/MPA + PDN | 1 (4.35%) | 5 (12.82%) | |
| Tacrolimus + mTORi + PDN | 1 (4.35%) | 1 (2.56%) | |
| Cyclosporine + mTORi + PDN | 1 (2.56%) | ||
| Cyclosporine + Azathioprine + PDN | 1 (4.35%) | ||
| Previous treated rejections of this allograft | |||
| Cellular rejection | 6 (26.1%) | 10 (25%) | 0.97 |
| Humoral rejection | 7 (30.4%) | 6 (15.38%) | 0.26 |
| At the time of c-aABMR diagnosis | |||
| Sex (Female/Male) | 8/15 | 14/25 | 0.92 |
| Age (years) | 43.59 ± 13.2 | 53.6 ± 16.1 | 0.013 |
| Charlson comorbidity index (CCI) | 0.83 ± 1.1 | 0.97 ± 1.27 | 0.7 |
| Time KT to active c-aABMR (months) | 92.2 ± 75 | 93.3 ± 55.1 | 0.67 |
| eGFR (mL/min) at c-aABMR diagnosis | 30.9 ± 13.5 | 33.4 ± 11.6 | 0.45 |
| eGFR (mL/min) 6 months before cABMR | 40 ± 11 | 42.9 ± 10.2 | 0.3 |
| Proteinuria (mg/g) at c-aABMR diagnosis | 2286 ± 2248 | 1763 ± 1427 | 0.31 |
| DSA (+) | 6 /9 | 3 / 11 | 0.17 |
| Anti-HLA Antibodies (+) | 13 / 16 | 19 / 37 | 0.041 |
| IS at time of c-aABMR diagnosis n (%) | |||
| PDN + other IS | 17 (73.9%) | 22 (55%) | |
| Tacrolimus + MMF/MPA ± PDN | 9 (39.1%) | 17 (42.5%) | |
| mTORi + MMF/MPA ± PDN | 2 (8.69%) | 7 (17.5%) | |
| Cyclosporine + MMF/MPA ± PDN | 4 (17.39%) | 6 (15%) | |
| Tacrolimus + PDN | 3 (13.04%) | 4 (10%) | |
| MMF/MPA + PDN | 1 (4.34%) | 3 (7.5%) | |
| Cyclosporine ± PDN | 2 (8.69%) | 2 (5%) | |
| Tacrolimus + mTORi ± PDN | 1 (4.34%) | 1 (2.5%) | |
| Cyclosporine + mTORi | 1 (4.34%) | ||
Results are shown as mean ± SD or absolute frequencies (%) for quantitative and qualitative variables respectively. GFR glomerular filtrate rate, KT kidney transplant, IS immunossupression, mTORi mammalian target of rapamycin inhibitor, MMF/MPA mycophenolate mofetil or mycophenolic acid, cABMR chronic antibody-mediated rejection; PDN, prednisone, RTX Rituximab
Fig. 1Renal allograft survival censoring death after c-aABMR diagnose. Treatment: patients under rituximab-containing treatment (yes), control patient group (no). Chronic active antibody-mediated rejection (c-aABMR)
Fig. 2Estimated glomerular filtrate rate (eGFR) follow-up before and after c-aABMR diagnose. a eGFR evolution of treated and control patient groups. b eGFR evolution according to graft outcome in both groups. Chronic active antibody-mediated rejection (c-aABMR)
Risk of graft loss at 24 months according to ΔeGFR and treatment
| OR & (95% CI) | Model | ||
|---|---|---|---|
| Change in ΔeGFR > 13 ml/min | 5 (1.5 – 16.9) | 0.006 | Univariate |
| Treatment | 1.2 (0.4 - 3.5) | 0.736 | Univariate |
| Change in ΔeGFR > 13 ml/min | 5 (1.5 – 16.9) | 0.006 | Multivariate |
| Treatment | 1.1 (0.3 - 3.4) | 0.897 |
ΔeGFR eGFR six months before diagnosis - eGFR at diagnosis of c-aABMR
Fig. 3Crude and adjusted estimation of eGFR according to GEE longitudinal models. Crude model (a); adjusted by graft loss (b); adjusted by IFTA (interstitial fibrosis and tubular atrophy) and MVI (microvascular inflammation) (c); adjusted by age and Charlson comorbidity index (d); adjusted by proteinuria (e); adjusted by glomerulitis, capillaritis and transplant glomerulopathy (f); adjusted by infection disease complications in the follow-up (g). Estimated glomerular filtrate rate (eGFR)
Banff histopathological features at diagnosis of cABMR
| Treatment | Control | ||
|---|---|---|---|
| MVI (g+tc) | 2.78 ± 1.35 | 2.87 ± 1.36 | 0.67 |
| i | 0.6 ± 0.78 | 0.56 ± 0.65 | 0.95 |
| t | 0.17 ± 0.49 | 0.25 ± 0.69 | 0.97 |
| g | 1.52 ± 0.94 | 1.4± 0.94 | 0.63 |
| ptc | 1.26 ± 0.86 | 1.4 ± 0.79 | 0.4 |
| ah | 1.43 ± 1.04 | 1.38 ± 1.1 | 0.91 |
| cg | 1.74 ± 0.83 | 1.83 ± 0.77 | 0.54 |
| ci | 1.52 ± 0.79 | 1.83 ± 0.88 | 0.17 |
| ct | 1.56 ± 0.73 | 1.67 ± 0.89 | 0.62 |
| IFTA | 1.61 ± 0.78 | 1.83 ± 0.84 | 0.27 |
| cv | 1.17 ± 0.83 | 1.39 ± 0.87 | 0.46 |
| C4d deposition | 19 (82.6%) | 17 (43.6%) | 0.01 |
| acute cellular rejection | 0 | 6 | 0.05 |
Results are shown as mean ± SD or absolute frequencies (%) for quantitative and qualitative variables respectively. i interstitial inflammation, t tubulitis, g glomerulitis, ptc peritubular capillaritis, ah arterial hyalinosis, cg transplant glomerulopathy, ci interstitial fibrosis, ct tubular atrophy, IFTA interstitial fibrosis + tubular atrophy, cv vascular fibrous intimal thickening