| Literature DB >> 35769855 |
Ji Yeon Song1, Kyo Won Lee1, Kyunga Kim2,3, Kyeong Deok Kim1, Jaehun Yang1, Ji Eun Kwon1, Okjoo Lee1, Jae Berm Park1.
Abstract
Background: As a solution to organ shortages, studies on kidney transplantation (KT) from older donors are being conducted. However, many controversies remain about its safety and efficacy.Entities:
Keywords: Aged; Kidney transplantation; Living donors
Year: 2021 PMID: 35769855 PMCID: PMC9235463 DOI: 10.4285/kjt.21.0020
Source DB: PubMed Journal: Korean J Transplant ISSN: 2671-8790
Fig. 1Study population. DDKT, deceased donor kidney transplantation; KT, kidney transplantation; FU, follow-up; hATG, horse antithymocyte globulin.
Characteristics of older and younger living donors and recipient
| Variable | Younger donor[ | Older donor[ | P-value |
|---|---|---|---|
| Donor | |||
| Age (yr) | 39.4 | 62.6 | <0.001 |
| Female | 398 (48.2) | 15 (45.5) | 0.753 |
| BMI (kg/m2) | 24.10 | 24.26 | 0.620 |
| Underlying disease | |||
| DM | 5 (0.61) | 0 | >0.999 |
| HTN | 24 (2.75) | 2 (6.06) | 0.244 |
| Creatinine level (mg/dL) | 0.85 | 0.85 | 0.835 |
| Recipient | |||
| Age (yr) | 42.4 | 46.2 | 0.138 |
| Female | 356 (43.1) | 16 (48.5) | 0.540 |
| BMI (kg/m2) | 22.53 | 22.97 | 0.411 |
| Dialysis duration (day) | 697.58 | 579.73 | 0.440 |
| Number of HLA mismatches | 2.73 | 3.00 | 0.381 |
| Risk factor | |||
| DM | 134 (16.22) | 5 (15.15) | 0.870 |
| HTN | 679 (82.20) | 26 (78.79) | 0.616 |
| Underlying kidney disease | 0.610 | ||
| DM nephropathy | 116 (14.04) | 5 (15.15) | - |
| GN (IgA, FSGS, Other GN) | 239 (28.93) | 9 (27.27) | - |
| ADPCK | 33 (4.00) | 3 (9.09) | - |
| Hypertensive | 118 (14.29) | 5 (15.15) | - |
| Other and unknown | 320 (38.74) | 11 (33.33) | - |
| DSA-positive[ | 27 (3.43) | 1 (3.45) | >0.999 |
| Induction method | 0.148 | ||
| No agent | 380 (46.0) | 10 (30.3) | - |
| Basiliximab | 368 (44.55) | 18 (54.55) | - |
| r-ATG | 43 (5.21) | 2 (6.06) | - |
| r-ATG+rituximab | 35 (4.2) | 3 (9.09) | - |
| Maintenance regimen | 0.441 | ||
| CsA+MMF+PD | 340 (41.2) | 10 (30.3) | - |
| FK+MMF+PD | 469 (56.8) | 23 (69.7) | - |
| Sirolimus or everolimus Combination | 14 (1.69) | 0 | - |
| Other[ | 3 (0.36) | 0 | - |
| Follow-up duration (yr) | 11.19 | 8.99 | 0.002 |
Values are presented as number (%).
BMI, body mass index; DM, diabetes mellitus; HTN, hypertension; HLA, human leukocyte antigen; GN, glomerulonephritis; IgA, immunoglobulin A; FSGS, focal segmental glomerulosclerosis; ADPCK, autosomal dominant polycystic kidney disease; DSA, donor-specific anti-HLA antibodies; r-ATG, rabbit anti-thymocyte globulin; CsA, cyclosporin A; MMF, mycophenolate mofetil; PD, prednisone; FK, tacrolimus.
a)Living donor age 18–59 group; b)Living donor age ≥60 group; c)39 From younger donor and 4 from older donor was not included due to unknown result; d)Other maintenance regimen refers to FK+mizoribine+PD.
Postoperative complications
| Variable | Younger donor | Older donor | P-value |
|---|---|---|---|
| Renal artery stenosis | 3 (0.4) | 0 | 0.415 |
| Ureter leakage | 11 (1.3) | 0 | 0.969 |
| Ureter stenosis | 3 (0.4) | 0 | 0.415 |
| Renal vein thrombosis | 1 (0.1) | 1 (3) | 0.023 |
| Others | 2 (0.2) | 0 | 0.313 |
| Postoperative bleeding | 54 (6.5) | 0 | 0.285 |
| Wound complication[ | 18 (2.2) | 0 | 0.771 |
| Lymphocele | 34 (4.1) | 1 (3) | 0.758 |
Values are presented as number (%).
a)Wound reoperative or suture during hospitalization.
Risk factor analysis of acute rejection
| Risk factor | Univariable | Multivariable[ | |||
|---|---|---|---|---|---|
|
|
| ||||
| HR (95% CI) | P-value | HR (95% CI) | P-value | ||
| Recipient | |||||
| Age | 0.988 (0.978–0.997) | 0.012 | 0.980 (0.969–0.990) | <0.001 | |
| Male | 1.468 (1.179–1.829) | 0.001 | 1.486 (1.176–1.878) | 0.001 | |
| BMI | 1.026 (0.995–1.058) | 0.103 | - | - | |
| DM | 0.099 (0.740–1.323) | 0.941 | - | ||
| HTN | 0.903 (0.692–1.177) | 0.451 | |||
| Underlying kidney disease 2[ | 0.071 | - | 0.412 | ||
| DM nephropathy | ref | - | |||
| GN (IgA, FSGS, others) | 0.980 (0.702–1.370) | 0.908 | 0.924 (0.645–1.325) | 0.669 | |
| ADPCK | 1.461 (0.878–2.429) | 0.144 | 1.275 (0.755–2.153) | 0.364 | |
| Hypertensive | 0.883 (0.596–1.307) | 0.534 | 0.945 (0.627–1.423) | 0.786 | |
| Other and UK | 0.778 (0.560–1.081) | 0.135 | 0.811 (0.571–1.151) | 0.241 | |
| Dialysis duration | 0.976 (0.924–1.031) | 0.382 | - | - | |
| Pre-emptive KT | 1.015 (0.798–1.29) | 0.905 | - | - | |
| HLA mismatch | 1.180 (1.103–1.263) | <0.001 | 1.145 (1.065–1.231) | <0.001 | |
| DSA-positive | 1.701 (1.013–2.856) | 0.045 | 2.013 (1.012–4.004) | 0.046 | |
| Induction agent | 0.009 | 0.015 | |||
| No agent | - | ref | - | - | |
| Basiliximab | 1.332 (1.061–1.673) | 0.014 | 1.257 (0.990–1.597) | 0.061 | |
| r-ATG | 1.958 (1.277–3.004) | 0.002 | 1.965 (1.269–3.043) | 0.003 | |
| r-ATG+rituximab | 1.153 (0.676–1.966) | 0.602 | 0.984 (0.489–1.982) | 0.964 | |
| Donor | |||||
| Male | 0.953 (0.770–1.177) | 0.653 | |||
| BMI | 1.018 (0.986–1.052) | 0.270 | |||
| DM | 0.925 (0.231–3.704) | 0.912 | |||
| HTN | 1.624 (0.913–2.889) | 0.099 | 1.326 (0.739–2.379) | 0.344 | |
| Cr | 0.780 (0.406–1.498) | 0.455 | |||
| Older donor group[ | 1.999 (1.285–3.109) | 0.002 | 1.704 (1.042–2.784) | 0.034 | |
HR, hazard ratio; CI, confidence interval; BMI, body mass index; DM, diabetes mellitus; HTN, hypertension; GN, glomerulonephritis; IgA, immunoglobulin A; FSGS, focal segmental glomerulosclerosis; ADPCK, autosomal dominant polycystic kidney disease; UK, unknown; KT, kidney transplantation; HLA, human leukocyte antigen; DSA, donor specific anti-HLA antibodies; r-ATG, rabbit anti-thymocyte globulin; Cr, creatinine.
a)Variables with a P-value of less than 0.1 in the univariable analysis were included in the multivariable analysis; b)Underlying kidney disease 2 and recipient DM have a high relationship; if both variables had P<0.1, only recipient DM was included in multivariable analysis; c)Pre-emptive KT was defined as kidney transplantation after dialysis duration of less than 30 days; d)Reference is younger donor group, which is the group of KT donors younger than 60 years old.
Fig. 2Rejection and graft loss. (A) Kaplan-Meier curve of acute rejection rate in patients after living kidney transplantation. (B) Kaplan-Meier curve of graft survival rate in patients after living kidney transplantation. Number at risk is also shown below the graph.
Risk factor analysis of graft failure
| Risk factor | Univariable | Multivariable[ | |||
|---|---|---|---|---|---|
|
|
| ||||
| HR (95% CI) | P-value | HR (95% CI) | P-value | ||
| Recipient | |||||
| Age | 0.980 (0.964–0.996) | 0.015 | 0.971 (0.954–0.987) | 0.001 | |
| Male | 1.225 (0.871–1.722) | 0.243 | |||
| BMI | 1.061 (1.012–1.112) | 0.015 | 1.055 (1.007–1.107) | 0.025 | |
| DM | 1.692 (1.094–2.616) | 0.018 | 1.962 (1.225–3.141) | 0.005 | |
| HTN | 0.729 (0.048–1.118) | 0.148 | |||
| Underlying kidney disease 2[ | 0.024 | ||||
| DM nephropathy | ref | ||||
| GN (IgA, FSGS, others) | 0.481 (0.285–0.810) | 0.006 | |||
| ADPCK | 0.701 (0.288–1.709) | 0.435 | |||
| Hypertensive | 0.632 (0.362–1.104) | 0.107 | |||
| Other and UK | 0.465 (0.287–0.755) | 0.002 | |||
| Dialysis duration | 0.962 (0.879–1.054) | 0.408 | |||
| Pre-emptive KT[ | 0.942 (0.621–1.429) | 0.778 | |||
| HLA mismatch | 1.027 (0.920–1.146) | 0.641 | |||
| DSA positive | 1.071 (0.263–4.352) | 0.924 | |||
| Induction agent | 0.575 | ||||
| No agent | ref | ||||
| Basiliximab | 1.247 (0.805–1.932) | 0.323 | |||
| r-ATG | 1.545 (0.618–3.864) | 0.352 | |||
| r-ATG+rituximab | 1.656 (0.512–5.361) | 0.400 | |||
| Maintenance regimen | 0.871 | ||||
| CsA+MMF+PD | ref | ||||
| FK+MMF+PD | 0.914 (0.643–1.293) | 0.604 | |||
| Sirolimus or everolimus combination | 1.321 (0.369–4.725) | 0.669 | |||
| Other[ | 1.821 (0.108–30.69) | 0.677 | |||
| Donor | |||||
| Male | 0.880 (0.631–1.226) | 0.449 | |||
| BMI | 1.036 (0.986–1.088) | 0.164 | |||
| DM | 1.725 (0.241–12.365) | 0.588 | |||
| HTN | 0.569 (0.079–4.078) | 0.575 | |||
| Cr | 0.739 (0.254–2.152) | 0.579 | |||
| Older donor group[ | 2.320 (1.081–4.978) | 0.031 | 2.352 (1.093–5.061) | 0.029 | |
HR, hazard ratio; CI, confidence interval; BMI, body mass index; DM, diabetes mellitus; HTN, hypertension; GN, glomerulonephritis; IgA, immunoglobulin A; FSGS, focal segmental glomerulosclerosis; ADPCK, autosomal dominant polycystic kidney disease; UK, unknown; KT, kidney transplantation; HLA, human leukocyte antigen; DSA, donor specific anti-HLA antibodies; r-ATG, rabbit anti-thymocyte globulin; CsA, cyclosporin A; MMF, mycophenolate mofetil; PD, prednisone; FK, tacrolimus; Cr, creatinine.
a)Variables with a P-value of less than 0.1 in the univariable analysis were included in the multivariable analysis; b)Underlying kidney disease 2 and R DM have a high relationship; if both variables have P<0.1, only recipient DM was included in multivariable analysis; c)Pre-emptive KT was defined as kidney transplantation after dialysis duration less than 30 days; d)Other maintenance regimen refers to FK+mizoribine+PD; e)Reference is younger donor group, which is group of KT donor less than 60 years old.
Fig. 3Estimated glomerular filtration rate (eGFR) over time. Renal function shown as eGFR is lower in the older donor group but the trend over time is not significantly different between the two groups. Number at risk is also shown below the graph.
| HIGHLIGHTS |
|---|
|
Organ shortage has been a big issue in kidney transplantation. Postop complication and estimated glomerular filtration rate over time had no significant difference between the two groups. Older donor kidney transplantation could be a solution to organ shortage. |