Copyright: ©Author(s) 2026.
World J Transplant. Sep 18, 2026; 16(3): 121821
Published online Sep 18, 2026. doi: 10.5500/wjt.121821
Published online Sep 18, 2026. doi: 10.5500/wjt.121821
Table 1 Features selected for modelling and their missingness percentage before imputation
| Features | Missing data full cohort (n = 15904) (%) | Missing data MP subgroup (n = 544) (%) |
| Recipient BMI | 19.98 | 22.61 |
| Serum creatinine (umol/L) 12-month post-transplant | 19.54 | 13.42 |
| Serum creatinine (umol/L) 3-month post-transplant | 15.79 | 13.79 |
| Recipient deprivation group | 16.17 | 31.25 |
| Predniscolone/predniscone immunosuppression 3 months post-transplant | 16.10 | 13.24 |
| Type of dialysis at transplant | 15.17 | 16.36 |
| Donor allergy | 12.09 | 10.85 |
| Initial graft function | 8.53 | 9.93 |
| Donor cause of death | 5.29 | 4.60 |
| Recipient positive CMV status | 4.89 | 5.33 |
| Donor family history of diabetes | 4.52 | 4.41 |
| Recipient ethnicity | 4.44 | 4.04 |
| Donor positive EBV status | 4.21 | 2.76 |
| Donor creatinine at retrieval | 3.41 | 5.88 |
| Donor ethnicity | 3.40 | 2.21 |
| Donor history of drug abuse | 2.50 | 3.68 |
| Donor history of cardiac disease | 2.18 | 4.23 |
| Donor history of UTI | 1.88 | 2.57 |
| Donor hypertension | 1.62 | 2.02 |
| Donor positive toxo status | 1.37 | 1.10 |
| Perfusate used | 1.08 | 0.74 |
| Donor history of diabetes | 0.91 | 1.29 |
| Perfusion quality | 0.74 | 2.94 |
| Donor positive CMV status | 0.59 | 1.10 |
| Graft status | 0.57 | 0 |
| Follow-up time | 0.55 | 0 |
| Donor BMI | 0.53 | 0.37 |
| Donor smoker | 0.52 | 0.55 |
| Dialysis status at registration | 0.35 | 0.18 |
| Cold ischemia time | 0.22 | 0.37 |
| Allocation matchability score | 0.18 | 0 |
| Waiting list time | 0.17 | 0.18 |
| Dialysis status at transplant | 0.13 | 0 |
| Kidney used by local centre | 0.10 | 0 |
| Donor ABO blood group | 0.04 | 0 |
| Recipient sex | 0.04 | 0.18 |
| Highly sensitised status flag | 0.03 | 0 |
| Donor homozygous at DR locus | 0.01 | 0 |
| Donor homozygous at B locus | 0.01 | 0 |
| Donor homozygous at A locus | 0.01 | 0 |
| HLA mismatch group | 0.01 | 0 |
| Recipient homozygous at B locus | 0.01 | 0 |
| Recipient homozygous at DR locus | 0.01 | 0 |
| Recipient homozygous at A locus | 0.01 | 0 |
| Number of mismatches at DR locus | 0.01 | 0 |
| Number of mismatches at A locus | 0.01 | 0 |
| Number of mismatches at B locus | 0.01 | 0 |
| Recipient age | 0 | 0 |
| Donor sex | 0 | 0 |
| Donor type | 0 | 0 |
| Recipient diabetes | 0 | 0 |
| Donor age | 0 | 0 |
| Recipient ABO blood group | 0 | 0 |
| Donor organ | 0 | 0 |
| Transplant year | 0 | 0 |
| Machine perfusion type | 0 | 0 |
Table 2 Full cohort descriptive baseline characteristics, n (%)
| Characteristic | All (n = 15904) | Cluster 1 (n = 2797) | Cluster 2 (n = 2826) | Cluster 3 (n = 2370) | Cluster 4 (n = 1854) | Cluster 5 (n = 2402) | Cluster 6 (n = 3655) |
| Recipient age | 53.6 (13.3) | 47.6 (13.6) | 61.4 (9.7) | 49.2 (13.4) | 55.8 (12.0) | 45.7 (12.2) | 59.3 (10.3) |
| Recipient BMI | 27.4 (4.8) | 27.2 (5.0) | 28.8 (4.5) | 27.3 (4.9) | 27.6 (4.6) | 26.0 (4.7) | 27.6 (4.5) |
| Recipient sex | |||||||
| Female | 5888 (37.0) | 1106 (39.5) | 663 (23.5) | 856 (36.1) | 742 (40.0) | 1249 (52.0) | 1272 (34.8) |
| Male | 10010 (62.9) | 1690 (60.4) | 2163 (76.5) | 1514 (63.9) | 1112 (60.0) | 1149 (47.8) | 2382 (65.2) |
| Recipient ABO blood group | |||||||
| A | 6220 (39.1) | 1121 (40.1) | 1095 (38.7) | 991 (41.8) | 651 (35.1) | 902 (37.6) | 1460 (39.9) |
| AB | 816 (5.1) | 179 (6.4) | 159 (5.6) | 93 (3.9) | 90 (4.9) | 139 (5.8) | 156 (4.3) |
| B | 2071 (13.0) | 346 (12.4) | 346 (12.2) | 227 (9.6) | 351 (18.9) | 341 (14.2) | 460 (12.6) |
| O | 6797 (42.7) | 1151 (41.2) | 1226 (43.4) | 1059 (44.7) | 762 (41.1) | 1020 (42.5) | 1579 (43.2) |
| Recipient ethnicity | |||||||
| Asian | 3026 (19.0) | 484 (17.3) | 435 (15.4) | 238 (10.0) | 525 (28.3) | 628 (26.1) | 716 (19.6) |
| Black | 1684 (10.6) | 315 (11.3) | 303 (10.7) | 128 (5.4) | 309 (16.7) | 263 (10.9) | 366 (10.0) |
| White | 10488 (65.9) | 1859 (66.5) | 1963 (69.5) | 1938 (81.8) | 887 (47.8) | 1408 (58.6) | 2433 (66.6) |
| Recipient diabetes | 2205 (13.9) | 267 (9.5) | 683 (24.2) | 217 (9.2) | 337 (18.2) | 140 (5.8) | 561 (15.3) |
| Recipient positive CMV status | 8478 (53.3) | 1417 (50.7) | 1476 (52.2) | 1034 (43.6) | 1198 (64.6) | 1308 (54.5) | 2045 (56.0) |
| Dialysis status at registration | |||||||
| Hemo | 7790 (49.0) | 1467 (52.4) | 1633 (57.8) | 888 (37.5) | 992 (53.5) | 1075 (44.8) | 1735 (47.5) |
| Not | 5514 (34.7) | 840 (30.0) | 711 (25.2) | 1132 (47.8) | 535 (28.9) | 940 (39.1) | 1356 (37.1) |
| Peritoneal | 2545 (16.0) | 477 (17.1) | 476 (16.8) | 342 (14.4) | 318 (17.2) | 380 (15.8) | 552 (15.1) |
| Dialysis at transplant | 13412 (84.3) | 2430 (86.9) | 2518 (89.1) | 1735 (73.2) | 1620 (87.4) | 2024 (84.3) | 3085 (84.4) |
| Type of dialysis at transplant | |||||||
| Hemo | 10218 (64.2) | 1851 (66.2) | 1964 (69.5) | 1228 (51.8) | 1254 (67.6) | 1530 (63.7) | 2391 (65.4) |
| Not | 79 (0.5) | 35 (1.3) | 13 (0.5) | 8 (0.3) | 7 (0.4) | 2 (0.1) | 14 (0.4) |
| Peritoneal | 3195 (20.1) | 579 (20.7) | 555 (19.6) | 507 (21.4) | 366 (19.7) | 494 (20.6) | 694 (19.0) |
| Donor organ | |||||||
| Left kidney | 7476 (47.0) | 1197 (42.8) | 1396 (49.4) | 1067 (45.0) | 928 (50.1) | 978 (40.7) | 1910 (52.3) |
| Right kidney | 8428 (53.0) | 1600 (57.2) | 1430 (50.6) | 1303 (55.0) | 926 (49.9) | 1424 (59.3) | 1745 (47.7) |
| Highly sensitised status flag | 1041 (6.5) | 140 (5.0) | 69 (2.4) | 143 (6.0) | 259 (14.0) | 247 (10.3) | 183 (5.0) |
| Waiting list time | 2.6 (1.9) | 2.9 (2.0) | 2.9 (1.8) | 1.6 (1.4) | 2.8 (2.2) | 2.6 (2.1) | 2.6 (1.8) |
| Recipient deprivation group | |||||||
| Quartile 1 most deprived | 3288 (20.7) | 448 (16.0) | 688 (24.3) | 557 (23.5) | 320 (17.3) | 386 (16.1) | 889 (24.3) |
| Quartile 2 second most deprived | 3303 (20.8) | 536 (19.2) | 613 (21.7) | 533 (22.5) | 363 (19.6) | 437 (18.2) | 821 (22.5) |
| Quartile 3 second least deprived | 3365 (21.2) | 657 (23.5) | 593 (21.0) | 399 (16.8) | 427 (23.0) | 555 (23.1) | 734 (20.1) |
| Quartile 4 least deprived | 3377 (21.2) | 661 (23.6) | 498 (17.6) | 423 (17.8) | 467 (25.2) | 639 (26.6) | 689 (18.9) |
| Donor age | 52.6 (14.0) | 44.1 (12.3) | 62.1 (9.0) | 52.4 (12.6) | 51.0 (14.0) | 41.0 (12.6) | 60.3 (9.7) |
| Donor BMI | 27.4 (5.4) | 26.3 (5.1) | 28.8 (5.7) | 27.4 (5.3) | 27.0 (5.3) | 26.0 (4.9) | 28.2 (5.4) |
| Donor sex | |||||||
| Female | 6983 (43.9) | 1086 (38.8) | 1313 (46.5) | 1162 (49.0) | 744 (40.1) | 908 (37.8) | 1770 (48.4) |
| Male | 8921 (56.1) | 1711 (61.2) | 1513 (53.5) | 1208 (51.0) | 1110 (59.9) | 1494 (62.2) | 1885 (51.6) |
| Donor ABO blood group | |||||||
| A | 6430 (40.4) | 1166 (41.7) | 1153 (40.8) | 1026 (43.3) | 644 (34.7) | 937 (39.0) | 1504 (41.1) |
| AB | 523 (3.3) | 118 (4.2) | 96 (3.4) | 41 (1.7) | 58 (3.1) | 99 (4.1) | 111 (3.0) |
| B | 1609 (10.1) | 276 (9.9) | 285 (10.1) | 146 (6.2) | 261 (14.1) | 265 (11.0) | 376 (10.3) |
| O | 7335 (46.1) | 1234 (44.1) | 1291 (45.7) | 1157 (48.8) | 888 (47.9) | 1101 (45.8) | 1664 (45.5) |
| Donor ethnicity | |||||||
| Asian | 457 (2.9) | 79 (2.8) | 96 (3.4) | 44 (1.9) | 59 (3.2) | 68 (2.8) | 111 (3.0) |
| Black | 199 (1.3) | 37 (1.3) | 32 (1.1) | 28 (1.2) | 29 (1.6) | 34 (1.4) | 39 (1.1) |
| White | 14707 (92.5) | 2545 (91.0) | 2597 (91.9) | 2259 (95.3) | 1688 (91.0) | 2193 (91.3) | 3425 (93.7) |
| Donor positive CMV status | 7699 (48.4) | 1198 (42.8) | 1468 (51.9) | 1157 (48.8) | 837 (45.1) | 1084 (45.1) | 1955 (53.5) |
| Donor positive EBV status | 14349 (90.2) | 2561 (91.6) | 2624 (92.9) | 2131 (89.9) | 1676 (90.4) | 2073 (86.3) | 3284 (89.8) |
| Donor positive toxoplasmosis status | 2505 (15.8) | 326 (11.7) | 522 (18.5) | 375 (15.8) | 279 (15.0) | 328 (13.7) | 675 (18.5) |
| Donor cardiac disease | 1966 (12.4) | 132 (4.7) | 719 (25.4) | 229 (9.7) | 170 (9.2) | 79 (3.3) | 637 (17.4) |
| Donor diabetes | 1262 (7.9) | 85 (3.0) | 432 (15.3) | 168 (7.1) | 130 (7.0) | 67 (2.8) | 380 (10.4) |
| Donor family history of diabetes | 4889 (30.7) | 998 (35.7) | 801 (28.3) | 703 (29.7) | 617 (33.3) | 833 (34.7) | 937 (25.6) |
| Donor history of drug abuse | 3073 (19.3) | 1380 (49.3) | 236 (8.4) | 163 (6.9) | 609 (32.8) | 586 (24.4) | 99 (2.7) |
| Donor hypertension | 4738 (29.8) | 253 (9.0) | 1596 (56.5) | 663 (28.0) | 461 (24.9) | 153 (6.4) | 1612 (44.1) |
| Donor smoker | 9722 (61.1) | 2143 (76.6) | 1704 (60.3) | 1205 (50.8) | 1323 (71.4) | 1548 (64.4) | 1799 (49.2) |
| Donor history of UTI | 896 (5.6) | 142 (5.1) | 186 (6.6) | 119 (5.0) | 102 (5.5) | 111 (4.6) | 236 (6.5) |
| Donor allergy | 5382 (33.8) | 1097 (39.2) | 1295 (45.8) | 622 (26.2) | 739 (39.9) | 517 (21.5) | 1112 (30.4) |
| Donor creatinine at retrieval | 0.3 (0.5) | 0.3 (0.5) | 0.2 (0.4) | 0.3 (0.5) | 0.3 (0.5) | 0.4 (0.5) | 0.3 (0.4) |
| Donor type | |||||||
| DBD | 8900 (56.0) | 1772 (63.4) | 1349 (47.7) | 1649 (69.6) | 932 (50.3) | 1520 (63.3) | 1678 (45.9) |
| DCD | 7004 (44.0) | 1025 (36.6) | 1477 (52.3) | 721 (30.4) | 922 (49.7) | 882 (36.7) | 1977 (54.1) |
| Donor cause of death | |||||||
| Neurological | 13832 (87.0) | 2439 (87.2) | 2534 (89.7) | 2073 (87.5) | 1617 (87.2) | 1935 (80.6) | 3234 (88.5) |
| Other | 1231 (7.7) | 172 (6.1) | 117 (4.1) | 199 (8.4) | 133 (7.2) | 343 (14.3) | 267 (7.3) |
| Cold ischemia time | 13.8 (4.8) | 14.0 (5.0) | 14.1 (4.7) | 13.2 (4.6) | 14.3 (4.9) | 13.7 (4.9) | 13.7 (4.8) |
| Perfusate used | |||||||
| HTK | 979 (6.2) | 324 (11.6) | 381 (13.5) | 11 (0.5) | 253 (13.6) | 2 (0.1) | 8 (0.2) |
| Marshalls | 2536 (15.9) | 265 (9.5) | 489 (17.3) | 352 (14.9) | 244 (13.2) | 305 (12.7) | 881 (24.1) |
| Wisconsin | 12217 (76.8) | 2180 (77.9) | 1915 (67.8) | 1984 (83.7) | 1326 (71.5) | 2074 (86.3) | 2738 (74.9) |
| Perfusion quality | |||||||
| Fair | 1031 (6.5) | 128 (4.6) | 223 (7.9) | 142 (6.0) | 141 (7.6) | 129 (5.4) | 268 (7.3) |
| Good | 14139 (88.9) | 2583 (92.3) | 2461 (87.1) | 2128 (89.8) | 1628 (87.8) | 2177 (90.6) | 3162 (86.5) |
| Poor | 616 (3.9) | 77 (2.8) | 126 (4.5) | 78 (3.3) | 75 (4.0) | 78 (3.2) | 182 (5.0) |
| Machine perfusion type | |||||||
| HMP | 359 (2.3) | 13 (0.5) | 27 (1.0) | 72 (3.0) | 13 (0.7) | 71 (3.0) | 163 (4.5) |
| NMP | 185 (1.2) | 27 (1.0) | 31 (1.1) | 20 (0.8) | 26 (1.4) | 29 (1.2) | 52 (1.4) |
| SCS | 15360 (96.6) | 2757 (98.6) | 2768 (97.9) | 2278 (96.1) | 1815 (97.9) | 2302 (95.8) | 3440 (94.1) |
| Donor homozygous at A locus | 2501 (15.7) | 419 (15.0) | 419 (14.8) | 635 (26.8) | 218 (11.8) | 320 (13.3) | 490 (13.4) |
| Donor homozygous at B locus | 1366 (8.6) | 250 (8.9) | 239 (8.5) | 407 (17.2) | 41 (2.2) | 177 (7.4) | 252 (6.9) |
| Donor homozygous at DR locus | 1850 (11.6) | 272 (9.7) | 286 (10.1) | 548 (23.1) | 69 (3.7) | 289 (12.0) | 386 (10.6) |
| Recipient homozygous at A locus | 2781 (17.5) | 397 (14.2) | 396 (14.0) | 235 (9.9) | 443 (23.9) | 586 (24.4) | 724 (19.8) |
| Recipient homozygous at B locus | 1793 (11.3) | 166 (5.9) | 167 (5.9) | 87 (3.7) | 476 (25.7) | 440 (18.3) | 457 (12.5) |
| Recipient homozygous at DR locus | 2502 (15.7) | 167 (6.0) | 184 (6.5) | 109 (4.6) | 633 (34.1) | 650 (27.1) | 759 (20.8) |
| Number of mismatches at A locus | |||||||
| One | 7784 (48.9) | 1474 (52.7) | 1498 (53.0) | 955 (40.3) | 864 (46.6) | 1162 (48.4) | 1831 (50.1) |
| Two | 5598 (35.2) | 937 (33.5) | 966 (34.2) | 321 (13.5) | 835 (45.0) | 1051 (43.8) | 1488 (40.7) |
| Zero | 2521 (15.9) | 386 (13.8) | 362 (12.8) | 1094 (46.2) | 155 (8.4) | 188 (7.8) | 336 (9.2) |
| Number of mismatches at B locus | |||||||
| One | 10801 (67.9) | 2032 (72.6) | 2040 (72.2) | 1338 (56.5) | 501 (27.0) | 2015 (83.9) | 2875 (78.7) |
| Two | 2824 (17.8) | 211 (7.5) | 389 (13.8) | 0 (0.0) | 1331 (71.8) | 286 (11.9) | 607 (16.6) |
| Zero | 2278 (14.3) | 554 (19.8) | 397 (14.0) | 1032 (43.5) | 22 (1.2) | 100 (4.2) | 173 (4.7) |
| Number of mismatches at DR locus | |||||||
| One | 8205 (51.6) | 1553 (55.5) | 1804 (63.8) | 38 (1.6) | 844 (45.5) | 1346 (56.0) | 2620 (71.7) |
| Two | 1276 (8.0) | 15 (0.5) | 111 (3.9) | 0 (0.0) | 986 (53.2) | 45 (1.9) | 119 (3.3) |
| Zero | 6422 (40.4) | 1229 (43.9) | 911 (32.2) | 2332 (98.4) | 24 (1.3) | 1010 (42.0) | 916 (25.1) |
| HLA mismatch group | |||||||
| (0 DR and 2B) OR (1 DR and 1/0 B) | 8319 (52.3) | 1706 (61.0) | 1911 (67.6) | 38 (1.6) | 289 (15.6) | 1499 (62.4) | 2876 (78.7) |
| (1 DR and 2 B) OR (2 DR) | 2207 (13.9) | 43 (1.5) | 233 (8.2) | 0 (0.0) | 1565 (84.4) | 98 (4.1) | 268 (7.3) |
| 0 DR and 1/0 B | 4494 (28.3) | 1011 (36.1) | 662 (23.4) | 1506 (63.5) | 0 (0.0) | 804 (33.5) | 511 (14.0) |
| 0 Mismatches | 883 (5.6) | 37 (1.3) | 20 (0.7) | 826 (34.9) | 0 (0.0) | 0 (0.0) | 0 (0.0) |
| Initial graft function | |||||||
| DGF | 3352 (21.1) | 466 (16.7) | 855 (30.3) | 370 (15.6) | 420 (22.7) | 345 (14.4) | 896 (24.5) |
| Immediate | 10826 (68.1) | 1968 (70.4) | 1571 (55.6) | 1774 (74.9) | 1187 (64.0) | 1858 (77.4) | 2468 (67.5) |
| PNF | 369 (2.3) | 69 (2.5) | 134 (4.7) | 20 (0.8) | 50 (2.7) | 17 (0.7) | 79 (2.2) |
| Predniscolone/predniscone immunosuppression 3 months post-transplant | |||||||
| No | 3843 (24.2) | 553 (19.8) | 605 (21.4) | 674 (28.4) | 354 (19.1) | 610 (25.4) | 1047 (28.6) |
| Yes | 9500 (59.7) | 1703 (60.9) | 1605 (56.8) | 1453 (61.3) | 1081 (58.3) | 1531 (63.7) | 2127 (58.2) |
| Graft status | |||||||
| Died functioning | 1861 (11.7) | 146 (5.2) | 362 (12.8) | 245 (10.3) | 193 (10.4) | 175 (7.3) | 740 (20.2) |
| Died unknown function | 45 (0.3) | 3 (0.1) | 16 (0.6) | 3 (0.1) | 6 (0.3) | 5 (0.2) | 12 (0.3) |
| Failed | 2030 (12.8) | 214 (7.7) | 543 (19.2) | 309 (13.0) | 181 (9.8) | 211 (8.8) | 572 (15.6) |
| Functioning | 11878 (74.7) | 2419 (86.5) | 1879 (66.5) | 1804 (76.1) | 1456 (78.5) | 2002 (83.3) | 2318 (63.4) |
| Allocation matchability score | 6.5 (2.8) | 4.9 (2.7) | 4.7 (2.7) | 5.6 (2.5) | 8.3 (2.1) | 8.2 (1.8) | 7.7 (2.1) |
| Serum creatinine (umol/L) at 3 months post-transplant | 152.3 (63.4) | 128.3 (40.2) | 209.8 (80.7) | 150.1 (54.4) | 141.5 (54.7) | 110.4 (30.6) | 163.0 (55.5) |
| Serum creatinine (umol/L) at 12 months post-transplant | 143.6 (58.8) | 121.9 (39.9) | 195.5 (75.9) | 144.8 (53.7) | 134.2 (51.8) | 107.2 (30.8) | 155.6 (53.0) |
| Follow-up time | 4.2 (2.9) | 2.5 (1.7) | 2.0 (1.6) | 6.1 (2.6) | 2.4 (1.9) | 6.6 (2.4) | 5.3 (2.6) |
| Transplant year | |||||||
| 2014 | 1484 (9.3) | 9 (0.3) | 34 (1.2) | 420 (17.7) | 21 (1.1) | 462 (19.2) | 538 (14.7) |
| 2015 | 1475 (9.3) | 17 (0.6) | 49 (1.7) | 389 (16.4) | 32 (1.7) | 421 (17.5) | 567 (15.5) |
| 2016 | 1630 (10.2) | 35 (1.3) | 88 (3.1) | 446 (18.8) | 47 (2.5) | 403 (16.8) | 611 (16.7) |
| 2017 | 1785 (11.2) | 85 (3.0) | 145 (5.1) | 445 (18.8) | 54 (2.9) | 421 (17.5) | 635 (17.4) |
| 2018 | 1920 (12.1) | 225 (8.0) | 249 (8.8) | 318 (13.4) | 114 (6.1) | 390 (16.2) | 624 (17.1) |
| 2019 | 1870 (11.8) | 355 (12.7) | 329 (11.6) | 213 (9.0) | 312 (16.8) | 198 (8.2) | 463 (12.7) |
| 2020 | 1462 (9.2) | 501 (17.9) | 354 (12.5) | 65 (2.7) | 339 (18.3) | 71 (3.0) | 132 (3.6) |
| 2021 | 1577 (9.9) | 594 (21.2) | 548 (19.4) | 43 (1.8) | 308 (16.6) | 23 (1.0) | 61 (1.7) |
| 2022 | 1420 (8.9) | 548 (19.6) | 531 (18.8) | 22 (0.9) | 288 (15.5) | 11 (0.5) | 20 (0.5) |
| 2023 | 745 (4.7) | 290 (10.4) | 309 (10.9) | 8 (0.3) | 133 (7.2) | 1 (0.0) | 4 (0.1) |
| 2024 | 536 (3.4) | 138 (4.9) | 190 (6.7) | 1 (0.0) | 206 (11.1) | 1 (0.0) | 0 (0.0) |
| Kidney used by local centre | |||||||
| No | 12057 (75.8) | 2472 (88.4) | 2420 (85.6) | 1764 (74.4) | 1579 (85.2) | 1644 (68.4) | 2178 (59.6) |
| Yes | 3831 (24.1) | 324 (11.6) | 403 (14.3) | 604 (25.5) | 275 (14.8) | 755 (31.4) | 1470 (40.2) |
Table 3 Machine perfusion subgroup descriptive baseline characteristics, n (%)
| Characteristic | All (n = 544) | Cluster 1 (n = 41) | Cluster 2 (n = 59) | Cluster 3 (n = 93) | Cluster 4 (n = 36) | Cluster 5 (n = 97) | Cluster 6 (n = 218) |
| Recipient age | 55.9 (12.1) | 49.5 (12.0) | 62.9 (9.5) | 52.9 (12.4) | 53.2 (12.2) | 48.9 (12.7) | 60.2 (9.5) |
| Recipient BMI | 27.7 (5.0) | 26.3 (4.7) | 29.1 (4.7) | 28.1 (4.5) | 28.2 (6.3) | 26.5 (4.9) | 28.0 (5.0) |
| Recipient sex | |||||||
| Female | 183 (33.6) | 12 (29.3) | 10 (16.9) | 33 (35.5) | 17 (47.2) | 42 (43.3) | 69 (31.7) |
| Male | 360 (66.2) | 29 (70.7) | 49 (83.1) | 60 (64.5) | 19 (52.8) | 55 (56.7) | 148 (67.9) |
| Recipient ABO blood group | |||||||
| A | 214 (39.3) | 17 (41.5) | 29 (49.2) | 38 (40.9) | 15 (41.7) | 37 (38.1) | 78 (35.8) |
| AB | 21 (3.9) | 3 (7.3) | 1 (1.7) | 4 (4.3) | 1 (2.8) | 5 (5.2) | 7 (3.2) |
| B | 69 (12.7) | 4 (9.8) | 7 (11.9) | 4 (4.3) | 6 (16.7) | 11 (11.3) | 37 (17.0) |
| O | 240 (44.1) | 17 (41.5) | 22 (37.3) | 47 (50.5) | 14 (38.9) | 44 (45.4) | 96 (44.0) |
| Recipient ethnicity | |||||||
| Asian | 68 (12.5) | 5 (12.2) | 7 (11.9) | 6 (6.5) | 10 (27.8) | 14 (14.4) | 26 (11.9) |
| Black | 34 (6.2) | 5 (12.2) | 6 (10.2) | 1 (1.1) | 5 (13.9) | 5 (5.2) | 12 (5.5) |
| White | 420 (77.2) | 28 (68.3) | 44 (74.6) | 85 (91.4) | 16 (44.4) | 74 (76.3) | 173 (79.4) |
| Recipient diabetes | 74 (13.6) | 4 (9.8) | 12 (20.3) | 6 (6.5) | 6 (16.7) | 4 (4.1) | 42 (19.3) |
| Recipient positive CMV serostatus | 260 (47.8) | 17 (41.5) | 28 (47.5) | 33 (35.5) | 24 (66.7) | 52 (53.6) | 106 (48.6) |
| Dialysis status at registration | |||||||
| Hemodialysis | 251 (46.1) | 20 (48.8) | 36 (61.0) | 37 (39.8) | 27 (75.0) | 31 (32.0) | 100 (45.9) |
| Not | 211 (38.8) | 12 (29.3) | 20 (33.9) | 43 (46.2) | 7 (19.4) | 45 (46.4) | 84 (38.5) |
| Peritoneal | 81 (14.9) | 9 (22.0) | 3 (5.1) | 12 (12.9) | 2 (5.6) | 21 (21.6) | 34 (15.6) |
| Dialysis at transplant | 454 (83.5) | 36 (87.8) | 53 (89.8) | 75 (80.6) | 34 (94.4) | 81 (83.5) | 175 (80.3) |
| Type of dialysis at transplant | |||||||
| Hemodialysis | 345 (63.4) | 25 (61.0) | 43 (72.9) | 56 (60.2) | 31 (86.1) | 60 (61.9) | 130 (59.6) |
| Not | 1 (0.2) | 1 (2.4) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) |
| Peritoneal | 109 (20.0) | 11 (26.8) | 10 (16.9) | 19 (20.4) | 3 (8.3) | 21 (21.6) | 45 (20.6) |
| Donor organ | |||||||
| Left kidney | 293 (53.9) | 20 (48.8) | 30 (50.8) | 50 (53.8) | 15 (41.7) | 44 (45.4) | 134 (61.5) |
| Right kidney | 251 (46.1) | 21 (51.2) | 29 (49.2) | 43 (46.2) | 21 (58.3) | 53 (54.6) | 84 (38.5) |
| Highly sensitised status flag | 26 (4.8) | 2 (4.9) | 1 (1.7) | 4 (4.3) | 4 (11.1) | 10 (10.3) | 5 (2.3) |
| Waiting list time | 2.0 (1.5) | 2.6 (1.7) | 2.6 (1.8) | 1.6 (1.2) | 2.4 (1.6) | 2.0 (1.6) | 1.9 (1.3) |
| Recipient deprivation group | |||||||
| Quartile 1 most deprived | 105 (19.3) | 11 (26.8) | 11 (18.6) | 16 (17.2) | 6 (16.7) | 18 (18.6) | 43 (19.7) |
| Quartile 2 second most deprived | 82 (15.1) | 4 (9.8) | 15 (25.4) | 10 (10.8) | 6 (16.7) | 9 (9.3) | 38 (17.4) |
| Quartile 3 second least deprived | 99 (18.2) | 8 (19.5) | 7 (11.9) | 14 (15.1) | 11 (30.6) | 19 (19.6) | 40 (18.3) |
| Quartile 4 least deprived | 88 (16.2) | 10 (24.4) | 6 (10.2) | 14 (15.1) | 6 (16.7) | 21 (21.6) | 31 (14.2) |
| Donor age | 54.7 (13.0) | 46.1 (11.9) | 60.2 (8.5) | 54.9 (12.4) | 51.9 (13.9) | 41.9 (12.2) | 61.0 (8.7) |
| Donor BMI | 27.0 (5.3) | 24.9 (4.3) | 28.5 (5.9) | 26.9 (5.2) | 26.4 (4.9) | 25.3 (4.3) | 27.8 (5.6) |
| Donor sex | |||||||
| Female | 224 (41.2) | 11 (26.8) | 23 (39.0) | 47 (50.5) | 15 (41.7) | 24 (24.7) | 104 (47.7) |
| Male | 320 (58.8) | 30 (73.2) | 36 (61.0) | 46 (49.5) | 21 (58.3) | 73 (75.3) | 114 (52.3) |
| Donor ABO blood group | |||||||
| A | 221 (40.6) | 18 (43.9) | 29 (49.2) | 39 (41.9) | 14 (38.9) | 40 (41.2) | 81 (37.2) |
| AB | 12 (2.2) | 2 (4.9) | 1 (1.7) | 2 (2.2) | 1 (2.8) | 2 (2.1) | 4 (1.8) |
| B | 58 (10.7) | 4 (9.8) | 7 (11.9) | 3 (3.2) | 6 (16.7) | 8 (8.2) | 30 (13.8) |
| O | 253 (46.5) | 17 (41.5) | 22 (37.3) | 49 (52.7) | 15 (41.7) | 47 (48.5) | 103 (47.2) |
| Donor ethnicity | |||||||
| Asian | 2 (0.4) | 0 (0.0) | 1 (1.7) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (0.5) |
| Black | 1 (0.2) | 1 (2.4) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) |
| White | 529 (97.2) | 36 (87.8) | 57 (96.6) | 93 (100.0) | 36 (100.0) | 95 (97.9) | 212 (97.2) |
| Donor positive CMV status | 250 (46.0) | 16 (39.0) | 25 (42.4) | 37 (39.8) | 19 (52.8) | 44 (45.4) | 109 (50.0) |
| Donor positive EBV status | 483 (88.8) | 33 (80.5) | 54 (91.5) | 82 (88.2) | 32 (88.9) | 86 (88.7) | 196 (89.9) |
| Donor positive toxoplasmosis status | 98 (18.0) | 8 (19.5) | 9 (15.3) | 18 (19.4) | 4 (11.1) | 13 (13.4) | 46 (21.1) |
| Donor cardiac disease | 64 (11.8) | 5 (12.2) | 18 (30.5) | 7 (7.5) | 4 (11.1) | 4 (4.1) | 26 (11.9) |
| Donor diabetes | 28 (5.1) | 0 (0.0) | 10 (16.9) | 2 (2.2) | 2 (5.6) | 3 (3.1) | 11 (5.0) |
| Donor family history of diabetes | 151 (27.8) | 10 (24.4) | 23 (39.0) | 20 (21.5) | 10 (27.8) | 27 (27.8) | 61 (28.0) |
| Donor history of drug abuse | 74 (13.6) | 20 (48.8) | 4 (6.8) | 3 (3.2) | 13 (36.1) | 26 (26.8) | 8 (3.7) |
| Donor hypertension | 148 (27.2) | 2 (4.9) | 36 (61.0) | 15 (16.1) | 8 (22.2) | 5 (5.2) | 82 (37.6) |
| Donor smoker | 306 (56.2) | 29 (70.7) | 39 (66.1) | 50 (53.8) | 26 (72.2) | 68 (70.1) | 94 (43.1) |
| Donor history of UTI | 37 (6.8) | 3 (7.3) | 7 (11.9) | 4 (4.3) | 4 (11.1) | 3 (3.1) | 16 (7.3) |
| Donor allergy | 162 (29.8) | 16 (39.0) | 29 (49.2) | 26 (28.0) | 18 (50.0) | 15 (15.5) | 58 (26.6) |
| Donor creatinine at retrieval | 0.3 (0.5) | 0.3 (0.5) | 0.1 (0.4) | 0.3 (0.4) | 0.2 (0.4) | 0.4 (0.5) | 0.3 (0.5) |
| Donor type | |||||||
| DBD | 33 (6.1) | 3 (7.3) | 3 (5.1) | 6 (6.5) | 5 (13.9) | 5 (5.2) | 11 (5.0) |
| DCD | 511 (93.9) | 38 (92.7) | 56 (94.9) | 87 (93.5) | 31 (86.1) | 92 (94.8) | 207 (95.0) |
| Donor cause of death | |||||||
| Neurological | 470 (86.4) | 35 (85.4) | 57 (96.6) | 73 (78.5) | 32 (88.9) | 84 (86.6) | 189 (86.7) |
| Other | 49 (9.0) | 1 (2.4) | 0 (0.0) | 15 (16.1) | 2 (5.6) | 11 (11.3) | 20 (9.2) |
| Cold ischemia time | 13.4 (4.7) | 13.7 (4.7) | 15.2 (4.6) | 12.2 (4.3) | 16.2 (4.7) | 12.9 (4.6) | 13.1 (4.7) |
| Perfusate used | |||||||
| HTK | 10 (1.8) | 1 (2.4) | 2 (3.4) | 2 (2.2) | 3 (8.3) | 1 (1.0) | 1 (0.5) |
| Marshalls | 112 (20.6) | 3 (7.3) | 14 (23.7) | 21 (22.6) | 2 (5.6) | 15 (15.5) | 57 (26.1) |
| Wisconsin | 418 (76.8) | 37 (90.2) | 42 (71.2) | 69 (74.2) | 31 (86.1) | 81 (83.5) | 158 (72.5) |
| Perfusion quality | |||||||
| Fair | 63 (11.6) | 1 (2.4) | 8 (13.6) | 13 (14.0) | 3 (8.3) | 16 (16.5) | 22 (10.1) |
| Good | 424 (77.9) | 36 (87.8) | 44 (74.6) | 70 (75.3) | 31 (86.1) | 72 (74.2) | 171 (78.4) |
| Poor | 41 (7.5) | 4 (9.8) | 7 (11.9) | 7 (7.5) | 2 (5.6) | 5 (5.2) | 16 (7.3) |
| Machine perfusion type | |||||||
| HMP | 359 (66.0) | 13 (31.7) | 29 (49.2) | 73 (78.5) | 12 (33.3) | 71 (73.2) | 161 (73.9) |
| NMP | 185 (34.0) | 28 (68.3) | 30 (50.8) | 20 (21.5) | 24 (66.7) | 26 (26.8) | 57 (26.1) |
| Donor homozygous at A locus | 104 (19.1) | 8 (19.5) | 14 (23.7) | 21 (22.6) | 4 (11.1) | 17 (17.5) | 40 (18.3) |
| Donor homozygous at B locus | 54 (9.9) | 4 (9.8) | 5 (8.5) | 12 (12.9) | 0 (0.0) | 15 (15.5) | 18 (8.3) |
| Donor homozygous at DR locus | 88 (16.2) | 5 (12.2) | 7 (11.9) | 34 (36.6) | 1 (2.8) | 17 (17.5) | 24 (11.0) |
| Recipient homozygous at A locus | 103 (18.9) | 8 (19.5) | 8 (13.6) | 6 (6.5) | 8 (22.2) | 23 (23.7) | 50 (22.9) |
| Recipient homozygous at B locus | 67 (12.3) | 2 (4.9) | 6 (10.2) | 5 (5.4) | 9 (25.0) | 14 (14.4) | 31 (14.2) |
| Recipient homozygous at DR locus | 94 (17.3) | 1 (2.4) | 3 (5.1) | 6 (6.5) | 13 (36.1) | 23 (23.7) | 48 (22.0) |
| Number of mismatches at A locus | |||||||
| One | 306 (56.2) | 25 (61.0) | 31 (52.5) | 61 (65.6) | 20 (55.6) | 52 (53.6) | 117 (53.7) |
| Two | 156 (28.7) | 7 (17.1) | 19 (32.2) | 8 (8.6) | 13 (36.1) | 35 (36.1) | 74 (33.9) |
| Zero | 82 (15.1) | 9 (22.0) | 9 (15.3) | 24 (25.8) | 3 (8.3) | 10 (10.3) | 27 (12.4) |
| Number of mismatches at B locus | |||||||
| One | 388 (71.3) | 28 (68.3) | 39 (66.1) | 69 (74.2) | 12 (33.3) | 81 (83.5) | 159 (72.9) |
| Two | 97 (17.8) | 3 (7.3) | 13 (22.0) | 0 (0.0) | 24 (66.7) | 13 (13.4) | 44 (20.2) |
| Zero | 59 (10.8) | 10 (24.4) | 7 (11.9) | 24 (25.8) | 0 (0.0) | 3 (3.1) | 15 (6.9) |
| Number of mismatches at DR locus | |||||||
| One | 309 (56.8) | 31 (75.6) | 42 (71.2) | 1 (1.1) | 22 (61.1) | 60 (61.9) | 153 (70.2) |
| Two | 37 (6.8) | 0 (0.0) | 3 (5.1) | 0 (0.0) | 14 (38.9) | 4 (4.1) | 16 (7.3) |
| Zero | 198 (36.4) | 10 (24.4) | 14 (23.7) | 92 (98.9) | 0 (0.0) | 33 (34.0) | 49 (22.5) |
| HLA mismatch group | |||||||
| (0 DR and 2B) OR (1 DR and 1/0 B) | 301 (55.3) | 32 (78.0) | 43 (72.9) | 1 (1.1) | 10 (27.8) | 62 (63.9) | 153 (70.2) |
| (1 DR and 2 B) OR (2 DR) | 78 (14.3) | 1 (2.4) | 9 (15.3) | 0 (0.0) | 26 (72.2) | 8 (8.2) | 34 (15.6) |
| 0 DR and 1/0 B | 149 (27.4) | 8 (19.5) | 7 (11.9) | 76 (81.7) | 0 (0.0) | 27 (27.8) | 31 (14.2) |
| 0 mismatches | 16 (2.9) | 0 (0.0) | 0 (0.0) | 16 (17.2) | 0 (0.0) | 0 (0.0) | 0 (0.0) |
| Initial graft function | |||||||
| DGF | 108 (19.9) | 5 (12.2) | 18 (30.5) | 16 (17.2) | 9 (25.0) | 16 (16.5) | 44 (20.2) |
| Immediate | 370 (68.0) | 31 (75.6) | 29 (49.2) | 66 (71.0) | 25 (69.4) | 73 (75.3) | 146 (67.0) |
| PNF | 12 (2.2) | 2 (4.9) | 3 (5.1) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 7 (3.2) |
| Predniscolone/predniscone immunosuppression 3 months post-transplant | |||||||
| No | 150 (27.6) | 9 (22.0) | 8 (13.6) | 30 (32.3) | 11 (30.6) | 27 (27.8) | 65 (29.8) |
| Yes | 322 (59.2) | 24 (58.5) | 35 (59.3) | 53 (57.0) | 19 (52.8) | 62 (63.9) | 129 (59.2) |
| Graft status | |||||||
| Died functioning | 89 (16.4) | 2 (4.9) | 9 (15.3) | 11 (11.8) | 5 (13.9) | 7 (7.2) | 55 (25.2) |
| Died unknown function | 1 (0.2) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (1.0) | 0 (0.0) |
| Failed | 80 (14.7) | 5 (12.2) | 16 (27.1) | 10 (10.8) | 4 (11.1) | 7 (7.2) | 38 (17.4) |
| Functioning | 374 (68.8) | 34 (82.9) | 34 (57.6) | 72 (77.4) | 27 (75.0) | 82 (84.5) | 125 (57.3) |
| Allocation matchability score | 6.8 (2.4) | 5.0 (2.4) | 4.9 (2.4) | 6.0 (2.4) | 8.5 (1.7) | 7.9 (1.9) | 7.3 (2.1) |
| Serum creatinine (umol/L) 3-month post-transplant | 154.8 (61.0) | 133.6 (37.9) | 219.8 (87.2) | 155.1 (53.2) | 132.5 (44.0) | 114.6 (44.5) | 164.8 (53.3) |
| Serum creatinine (umol/L) 12-month post-transplant | 146.6 (57.2) | 126.0 (36.3) | 199.3 (89.6) | 145.5 (56.3) | 135.8 (45.1) | 111.2 (39.0) | 157.9 (49.1) |
| Follow-up time | 5.5 (3.1) | 3.3 (1.8) | 2.1 (1.7) | 6.8 (2.8) | 2.4 (1.6) | 7.5 (2.4) | 5.9 (2.9) |
| Transplant year | |||||||
| 2014 | 125 (23.0) | 0 (0.0) | 4 (6.8) | 29 (31.2) | 1 (2.8) | 31 (32.0) | 60 (27.5) |
| 2015 | 80 (14.7) | 0 (0.0) | 3 (5.1) | 19 (20.4) | 0 (0.0) | 21 (21.6) | 37 (17.0) |
| 2016 | 89 (16.4) | 3 (7.3) | 8 (13.6) | 19 (20.4) | 1 (2.8) | 12 (12.4) | 46 (21.1) |
| 2017 | 45 (8.3) | 0 (0.0) | 1 (1.7) | 7 (7.5) | 2 (5.6) | 15 (15.5) | 20 (9.2) |
| 2018 | 49 (9.0) | 5 (12.2) | 3 (5.1) | 10 (10.8) | 4 (11.1) | 11 (11.3) | 16 (7.3) |
| 2019 | 49 (9.0) | 9 (22.0) | 6 (10.2) | 6 (6.5) | 4 (11.1) | 5 (5.2) | 19 (8.7) |
| 2020 | 46 (8.5) | 7 (17.1) | 15 (25.4) | 1 (1.1) | 9 (25.0) | 1 (1.0) | 13 (6.0) |
| 2021 | 44 (8.1) | 13 (31.7) | 14 (23.7) | 1 (1.1) | 8 (22.2) | 1 (1.0) | 7 (3.2) |
| 2022 | 4 (0.7) | 3 (7.3) | 0 (0.0) | 0 (0.0) | 1 (2.8) | 0 (0.0) | 0 (0.0) |
| 2023 | 2 (0.4) | 1 (2.4) | 1 (1.7) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) |
| 2024 | 11 (2.0) | 0 (0.0) | 4 (6.8) | 1 (1.1) | 6 (16.7) | 0 (0.0) | 0 (0.0) |
| Kidney used by local centre | |||||||
| No | 232 (42.6) | 28 (68.3) | 44 (74.6) | 35 (37.6) | 25 (69.4) | 30 (30.9) | 70 (32.1) |
| Yes | 312 (57.4) | 13 (31.7) | 15 (25.4) | 58 (62.4) | 11 (30.6) | 67 (69.1) | 148 (67.9) |
Table 4 Resulting clusters phenotype summary
| Cluster | Core phenotype | Immunologic profile | Outcomes | Allocation/time | MP type | Key modifiers | Transplant centre |
| 1 | Young, donor low cardiovascular comorbidity, donor behavioural risk | Low risk (fewer DR/B mismatches) | Intermediate graft survival. Patient survival↑ | Low matchability score; recent years | NMP | No local | |
| 2 | Older, comorbid males | Intermediate risk (DRMM = 1 enriched) | Graft and patient survival↓. Immediate graft function↓ | Low matchability score | HMP/NMP | Donor quality↓, ↑(MP subgroup) | No local |
| 3 | Immunologically favourable; shorter waiting time, predominantly white recipients | Very low/near-perfect matching (DRMM = 0 dominant) | Graft and patient survival↑ | Low matchability score; earlier years | HMP | Shorter CIT (MP subgroup); less dialysis at transplant | Local |
| 4 | Immunologically unfavourable, diverse recipient ethnicity, donor risk factors | High risk (DRMM = 2, BMM = 2 enriched) | Graft and patient survival↑ in full cohort | High matchability score; later years | NMP | Longer CIT (MP subgroup); hemodialysis at transplant (MP subgroup) | |
| 5 | Young, females, donor low cardiovascular comorbidity | Intermediate risk | Graft and patient survival↑ | High matchability score; earlier years | HMP | Less dialysis at transplant | Local |
| 6 | Older, donor hypertension with no behavioural risk | Intermediate risk | Intermediate graft and patient survival | High matchability score | HMP | Local |
Table 5 Clusters’ stability comparison (full cohort vs machine perfusion subgroup)
| Cluster | Mean MPP (full cohort) | Median MPP (full cohort) | Mean entropy (full cohort) | Mean MPP (MP subgroup) | Median MPP (MP subgroup) | Mean entropy (MP subgroup) |
| 1 | 0.678 | 0.685 | 0.839 | 0.607 | 0.555 | 1.046 |
| 2 | 0.715 | 0.723 | 0.724 | 0.701 | 0.699 | 0.765 |
| 3 | 0.726 | 0.723 | 0.664 | 0.671 | 0.646 | 0.759 |
| 4 | 0.756 | 0.802 | 0.644 | 0.723 | 0.743 | 0.725 |
| 5 | 0.666 | 0.658 | 0.828 | 0.674 | 0.689 | 0.796 |
| 6 | 0.663 | 0.666 | 0.903 | 0.685 | 0.689 | 0.831 |
Table 6 Full cohort features standardized mean differences by cluster
| Characteristic | Cluster 1 (n = 2797) | Cluster 2 (n = 2826) | Cluster 3 (n = 2370) | Cluster 4 (n = 1854) | Cluster 5 (n = 2402) | Cluster 6 (n = 3655) |
| Recipient age | -0.53127 | 0.890174 | -0.37819 | 0.263441 | -0.74394 | 0.652855 |
| Recipient BMI | -0.05273 | 0.36501 | -0.0351 | 0.050277 | -0.36817 | 0.051705 |
| Recipient sex | ||||||
| Female | 0.046416 | -0.37198 | -0.0387 | 0.057848 | 0.354276 | -0.07143 |
| Male | -0.04642 | 0.371976 | 0.038704 | -0.05785 | -0.35428 | 0.07143 |
| Recipient ABO blood group | ||||||
| A | 0.029565 | -0.00315 | 0.072027 | -0.09341 | -0.03266 | 0.026294 |
| AB | 0.065362 | 0.025794 | -0.06948 | -0.01586 | 0.034174 | -0.04917 |
| B | -0.03387 | -0.03848 | -0.13933 | 0.186659 | 0.030704 | -0.02611 |
| O | -0.03678 | 0.017429 | 0.048903 | -0.03802 | -0.00484 | 0.013025 |
| Recipient ethnicity | ||||||
| Asian | -0.06851 | -0.13465 | -0.33311 | 0.28277 | 0.195452 | -0.00306 |
| Black | 0.016715 | -0.00709 | -0.24634 | 0.227795 | 0.001301 | -0.03807 |
| White | 0.047113 | 0.119418 | 0.451491 | -0.41774 | -0.17413 | 0.028319 |
| Recipient diabetes | -0.15378 | 0.332122 | -0.16925 | 0.148745 | -0.3113 | 0.056299 |
| Recipient positive CMV status | -0.076 | -0.037 | -0.2564 | 0.270441 | 0.030052 | 0.075713 |
| Dialysis status at registration | ||||||
| Hemodialysis | 0.086843 | 0.213382 | -0.28001 | 0.112707 | -0.10092 | -0.03491 |
| Not | -0.11826 | -0.25069 | 0.325769 | -0.14902 | 0.111091 | 0.060756 |
| Peritoneal | 0.032607 | 0.024453 | -0.05462 | 0.035873 | -0.00844 | -0.03204 |
| Dialysis at transplant | 0.097919 | 0.171868 | -0.33548 | 0.107925 | -0.00066 | 0.004394 |
| Type of dialysis at transplant | ||||||
| Hemodialysis | -0.01072 | 0.059037 | -0.13685 | 0.044986 | 0.001169 | 0.047248 |
| Not | 0.108832 | -0.00796 | -0.0172 | -0.02224 | -0.09087 | -0.01846 |
| Peritoneal | -0.01332 | -0.05813 | 0.140569 | -0.04158 | 0.011823 | -0.04447 |
| Donor organ | ||||||
| Left kidney | -0.09442 | 0.06469 | -0.0406 | 0.080451 | -0.14511 | 0.133529 |
| Right kidney | 0.094421 | -0.06469 | 0.0406 | -0.08045 | 0.145105 | -0.13353 |
| Highly sensitised status flag | -0.1051 | -0.25405 | -0.05252 | 0.278585 | 0.137113 | -0.10495 |
| Waiting list time | 0.205676 | 0.184614 | -0.68461 | 0.155021 | 0.029542 | 0.033337 |
| Recipient deprivation group | ||||||
| Quartile 1 most deprived | -0.13673 | 0.125214 | 0.135129 | -0.11206 | -0.14645 | 0.114791 |
| Quartile 2 second most deprived | -0.0373 | 0.028104 | 0.089469 | -0.04483 | -0.08356 | 0.043987 |
| Quartile 3 second least deprived | 0.086139 | -0.01602 | -0.12754 | 0.046672 | 0.05857 | -0.05414 |
| Quartile 4 least deprived | 0.078204 | -0.14132 | -0.10361 | 0.102159 | 0.15673 | -0.10738 |
| Donor age | -0.77397 | 1.151346 | 0.059862 | -0.07552 | -1.07416 | 0.922674 |
| Donor BMI | -0.22905 | 0.335247 | 0.015342 | -0.0657 | -0.29796 | 0.217399 |
| Donor sex | ||||||
| Female | -0.11263 | 0.072835 | 0.134812 | -0.08067 | -0.13794 | 0.120255 |
| Male | 0.112627 | -0.07283 | -0.13481 | 0.080672 | 0.137942 | -0.12026 |
| Donor ABO blood group | ||||||
| A | 0.039102 | 0.016699 | 0.077042 | -0.13229 | -0.02753 | 0.024879 |
| AB | 0.060752 | 0.008323 | -0.11541 | -0.00955 | 0.054528 | -0.01621 |
| B | -0.01511 | -0.00672 | -0.17588 | 0.143325 | 0.030238 | 0.001161 |
| O | -0.05233 | -0.01535 | 0.059672 | 0.039371 | -0.01204 | -0.01951 |
| Donor ethnicity | ||||||
| Asian | 0.000514 | 0.038364 | -0.0821 | 0.024941 | 0.0001 | 0.010053 |
| Black | 0.00643 | -0.01655 | -0.01361 | 0.030552 | 0.015678 | -0.02584 |
| White | -0.00408 | -0.02369 | 0.075358 | -0.03827 | -0.00908 | 0.005607 |
| Donor positive CMV status | -0.12041 | 0.098053 | 0.021299 | -0.06591 | -0.06611 | 0.132632 |
| Donor positive EBV status | 0.029951 | 0.081959 | 0.001328 | 0.019402 | -0.13784 | 0.02228 |
| Donor positive toxoplasmosis status | -0.13706 | 0.095696 | 0.010196 | -0.01706 | -0.06299 | 0.098 |
| Donor cardiac disease | -0.29989 | 0.452731 | -0.07382 | -0.09806 | -0.3734 | 0.210295 |
| Donor diabetes | -0.23863 | 0.303632 | -0.02393 | -0.02724 | -0.25273 | 0.120616 |
| Donor family history of diabetes | 0.117106 | -0.06168 | -0.04535 | 0.05733 | 0.078348 | -0.15243 |
| Donor history of drug abuse | 0.81861 | -0.42472 | -0.48799 | 0.339628 | 0.105875 | -0.68139 |
| Donor hypertension | -0.59749 | 0.75056 | -0.00457 | -0.09059 | -0.70759 | 0.419629 |
| Donor smoker | 0.386329 | -0.04618 | -0.28052 | 0.233903 | 0.062836 | -0.32145 |
| Donor history of UTI | -0.02595 | 0.051784 | -0.0268 | -0.00334 | -0.05092 | 0.049397 |
| Donor allergy | 0.182199 | 0.349431 | -0.23512 | 0.17585 | -0.37885 | -0.12589 |
| Donor creatinine at retrieval | 0.111216 | -0.20679 | -0.04272 | 0.058724 | 0.126459 | -0.05897 |
| Donor type | ||||||
| DBD | 0.163396 | -0.21653 | 0.322543 | -0.15502 | 0.161577 | -0.26117 |
| DCD | -0.1634 | 0.216534 | -0.32254 | 0.155025 | -0.16158 | 0.261166 |
| Donor cause of death | ||||||
| Neurological | 0.079257 | 0.188412 | -0.01799 | 0.032678 | -0.25947 | 0.031494 |
| Other | -0.07926 | -0.18841 | 0.017991 | -0.03268 | 0.259472 | -0.03149 |
| Cold ischemia time | 0.034621 | 0.064709 | -0.1487 | 0.110151 | -0.03088 | -0.03307 |
| Perfusate used | ||||||
| HTK | 0.215541 | 0.290157 | -0.37809 | 0.297393 | -0.41002 | -0.3985 |
| Marshalls | -0.20981 | 0.069047 | -0.01459 | -0.0697 | -0.08986 | 0.273508 |
| Wisconsin | 0.024312 | -0.25256 | 0.202352 | -0.14489 | 0.288148 | -0.0685 |
| Perfusion quality | ||||||
| Fair | -0.09903 | 0.066815 | -0.02273 | 0.053659 | -0.05518 | 0.043223 |
| Good | 0.124324 | -0.07958 | 0.038627 | -0.05322 | 0.067024 | -0.081 |
| Poor | -0.0704 | 0.039988 | -0.03226 | 0.015022 | -0.03558 | 0.071809 |
| Machine perfusion type | ||||||
| HMP | -0.16465 | -0.10792 | 0.072853 | -0.13631 | 0.066932 | 0.165752 |
| NMP | -0.02219 | -0.00674 | -0.03713 | 0.026516 | 0.005664 | 0.028618 |
| SCS | 0.139758 | 0.087785 | -0.0411 | 0.083732 | -0.05858 | -0.15598 |
| Donor homozygous at A locus | -0.02882 | -0.03397 | 0.331391 | -0.14094 | -0.08519 | -0.08234 |
| Donor homozygous at B locus | 0.018333 | -0.00219 | 0.324462 | -0.32254 | -0.05012 | -0.07189 |
| Donor homozygous at DR locus | -0.07049 | -0.05484 | 0.384054 | -0.34321 | 0.018206 | -0.03753 |
| Recipient homozygous at A locus | -0.11426 | -0.12039 | -0.26716 | 0.185844 | 0.20061 | 0.06497 |
| Recipient homozygous at B locus | -0.24938 | -0.25056 | -0.36106 | 0.442481 | 0.216542 | 0.018343 |
| Recipient homozygous at DR locus | -0.3925 | -0.3688 | -0.4553 | 0.514814 | 0.316519 | 0.132615 |
| Number of mismatches at A locus | ||||||
| One | 0.100524 | 0.107959 | -0.19918 | -0.046 | -0.00287 | 0.037924 |
| Two | -0.04103 | -0.02375 | -0.61386 | 0.245613 | 0.214416 | 0.138909 |
| Zero | -0.08528 | -0.11969 | 0.865188 | -0.28684 | -0.30846 | -0.25372 |
| Number of mismatches at B locus | ||||||
| One | 0.194076 | 0.181726 | -0.21583 | -1.02907 | 0.522414 | 0.361438 |
| Two | -0.43557 | -0.20574 | -0.80177 | 1.61737 | -0.26989 | -0.11265 |
| Zero | 0.168862 | -0.01822 | 0.860889 | -0.57823 | -0.41804 | -0.39044 |
| Number of mismatches at DR locus | ||||||
| One | 0.156213 | 0.362725 | -1.58327 | -0.08453 | 0.169242 | 0.572884 |
| Two | -0.49823 | -0.29474 | -0.53587 | 1.400915 | -0.41166 | -0.3312 |
| Zero | 0.083765 | -0.20624 | 2.088466 | -1.29858 | 0.038214 | -0.39782 |
| HLA mismatch group | ||||||
| (0 DR and 2B) OR (1 DR and 1/0 B) | 0.320803 | 0.492691 | -1.5359 | -0.88766 | 0.35718 | 0.817322 |
| (1 DR and 2 B) OR (2 DR) | -0.64264 | -0.32933 | -0.73181 | 2.732471 | -0.5118 | -0.36669 |
| 0 DR and 1/0 B | 0.200285 | -0.13652 | 0.942319 | -1.01767 | 0.132115 | -0.42344 |
| 0 Mismatches | -0.29107 | -0.33901 | 1.013344 | -0.3991 | -0.3991 | -0.3991 |
| Initial graft function | ||||||
| DGF | -0.11953 | 0.293189 | -0.1664 | 0.075526 | -0.21589 | 0.094297 |
| Immediate | 0.107333 | -0.35624 | 0.207118 | -0.087 | 0.260541 | -0.08576 |
| PNF | 0.019437 | 0.177065 | -0.13987 | 0.038363 | -0.15666 | -0.01597 |
| Predniscolone/predniscone immunosuppression 3 months post-transplant | ||||||
| No | -0.10243 | -0.02439 | 0.089443 | -0.0981 | 0.005436 | 0.123103 |
| Yes | 0.102431 | 0.024386 | -0.08944 | 0.098099 | -0.00544 | -0.1231 |
| Graft status | ||||||
| Died functioning | -0.25092 | 0.067352 | -0.02856 | -0.02329 | -0.15542 | 0.314832 |
| Died unknown function | -0.04474 | 0.055994 | -0.039 | 0.010615 | -0.01671 | 0.011187 |
| Failed | -0.18583 | 0.234386 | 0.023866 | -0.09706 | -0.13882 | 0.114523 |
| Functioning | 0.330622 | -0.24579 | 0.006453 | 0.089744 | 0.222438 | -0.33668 |
| Allocation matchability score | -0.82615 | -0.91113 | -0.48134 | 0.939133 | 0.94143 | 0.608976 |
| Serum creatinine (umol/L) at 3 months post-transplant | -0.55205 | 1.076702 | -0.00929 | -0.20292 | -1.05008 | 0.27868 |
| Serum creatinine (umol/L) at 12 months post-transplant | -0.54517 | 1.001822 | 0.035808 | -0.20997 | -0.97139 | 0.28784 |
| Follow-up time | -1.02083 | -1.36537 | 1.02637 | -1.03852 | 1.304328 | 0.609898 |
| Transplant year | ||||||
| 2014 | -0.46973 | -0.40766 | 0.318161 | -0.41243 | 0.36776 | 0.215761 |
| 2015 | -0.44461 | -0.3679 | 0.280245 | -0.36841 | 0.317711 | 0.249368 |
| 2016 | -0.43155 | -0.31821 | 0.318755 | -0.35172 | 0.25152 | 0.249478 |
| 2017 | -0.35466 | -0.2451 | 0.278868 | -0.36176 | 0.238236 | 0.233183 |
| 2018 | -0.14226 | -0.11021 | 0.065559 | -0.22613 | 0.162749 | 0.19049 |
| 2019 | 0.031142 | -0.00751 | -0.11104 | 0.1739 | -0.14187 | 0.03025 |
| 2020 | 0.29756 | 0.11046 | -0.33259 | 0.309795 | -0.32021 | -0.2833 |
| 2021 | 0.37828 | 0.319815 | -0.4093 | 0.228833 | -0.46416 | -0.41834 |
| 2022 | 0.368105 | 0.342109 | -0.43481 | 0.233157 | -0.46783 | -0.46145 |
| 2023 | 0.262064 | 0.285086 | -0.3182 | 0.121005 | -0.34658 | -0.33995 |
| 2024 | 0.066904 | 0.161389 | -0.30486 | 0.355243 | -0.30492 | -0.30949 |
| Kidney used by local centre | ||||||
| No | 0.358659 | 0.266388 | -0.07062 | 0.248008 | -0.23235 | -0.46553 |
| Yes | -0.35866 | -0.26639 | 0.070616 | -0.24801 | 0.232346 | 0.465532 |
Table 7 Machine perfusion subgroup features standardized mean differences by cluster
| Characteristic | Cluster 1 (n = 41) | Cluster 2 (n = 59) | Cluster 3 (n = 93) | Cluster 4 (n = 36) | Cluster 5 (n = 97) | Cluster 6 (n = 218) |
| Recipient age | -0.52238 | 0.935377 | -0.17692 | -0.14135 | -0.5752 | 0.624424 |
| Recipient BMI | -0.33675 | 0.341342 | 0.100018 | 0.104799 | -0.29737 | 0.077307 |
| Recipient sex | ||||||
| Female | -0.12192 | -0.47267 | 0.037357 | 0.329161 | 0.231682 | -0.05627 |
| Male | 0.121923 | 0.472666 | -0.03736 | -0.32916 | -0.23168 | 0.05627 |
| Recipient ABO blood group | ||||||
| A | 0.00696 | 0.193519 | -0.00775 | 0.011911 | -0.07437 | -0.13309 |
| AB | 0.173135 | -0.16482 | 0.013513 | -0.08419 | 0.062414 | -0.0548 |
| B | -0.07912 | 0.001768 | -0.32229 | 0.169568 | -0.01784 | 0.17967 |
| O | -0.03561 | -0.13813 | 0.183969 | -0.09859 | 0.058822 | 0.026817 |
| Recipient ethnicity | ||||||
| Asian | -0.07204 | -0.10315 | -0.33003 | 0.507309 | -0.00709 | -0.10166 |
| Black | 0.177035 | 0.076748 | -0.40214 | 0.282133 | -0.15149 | -0.13602 |
| White | -0.06636 | 0.031694 | 0.534651 | -0.65321 | 0.100554 | 0.173304 |
| Recipient diabetes | -0.11318 | 0.251095 | -0.25194 | 0.133863 | -0.36278 | 0.217526 |
| Recipient positive CMV status | -0.16999 | -0.02122 | -0.31585 | 0.471722 | 0.070829 | -0.01996 |
| Dialysis status at registration | ||||||
| Hemodialysis | -0.04066 | 0.256224 | -0.24872 | 0.630677 | -0.46044 | -0.11067 |
| Not | -0.16484 | -0.04565 | 0.272456 | -0.43957 | 0.263876 | 0.070191 |
| Peritoneal | 0.261768 | -0.34949 | -0.02704 | -0.32742 | 0.252628 | 0.060744 |
| Dialysis at transplant | 0.060974 | 0.136638 | -0.17833 | 0.330709 | -0.08688 | -0.18986 |
| Type of dialysis at transplant | ||||||
| Hemodialysis | -0.26222 | 0.116985 | -0.06999 | 0.45709 | -0.08642 | -0.08056 |
| Not | 0.235702 | -0.10426 | -0.10426 | -0.10426 | -0.10426 | -0.10426 |
| Peritoneal | 0.203308 | -0.1042 | 0.083027 | -0.4446 | 0.099488 | 0.093619 |
| Donor organ | ||||||
| Left kidney | -0.03682 | 0.012793 | 0.082894 | -0.20909 | -0.11916 | 0.271376 |
| Right kidney | 0.036822 | -0.01279 | -0.08289 | 0.209092 | 0.119164 | -0.27138 |
| Highly sensitised status flag | -0.04705 | -0.24711 | -0.07932 | 0.239504 | 0.207115 | -0.20468 |
| Waiting list time | 0.293259 | 0.292544 | -0.51323 | 0.140545 | -0.11534 | -0.19133 |
| Recipient deprivation group | ||||||
| Quartile 1 most deprived | 0.144294 | 0.009881 | 0.047681 | -0.19907 | -0.02608 | 0.012131 |
| Quartile 2 second most deprived | -0.29413 | 0.468065 | -0.08528 | -0.02003 | -0.2488 | 0.103914 |
| Quartile 3 second least deprived | -0.06986 | -0.25307 | -0.02343 | 0.291574 | 0.042275 | -0.0128 |
| Quartile 4 least deprived | 0.171772 | -0.25815 | 0.053363 | -0.09517 | 0.199419 | -0.10384 |
| Donor age | -0.68036 | 0.878226 | 0.228306 | -0.07469 | -1.10569 | 0.959388 |
| Donor BMI | -0.43307 | 0.415931 | 0.055243 | -0.05396 | -0.33119 | 0.259145 |
| Donor sex | ||||||
| Female | -0.29708 | 0.014101 | 0.296941 | 0.079911 | -0.35442 | 0.227365 |
| Male | 0.297078 | -0.0141 | -0.29694 | -0.07991 | 0.354417 | -0.22736 |
| Donor ABO blood group | ||||||
| A | 0.045051 | 0.172103 | -0.00267 | -0.07713 | -0.01967 | -0.11994 |
| AB | 0.151565 | -0.07105 | -0.03261 | 0.015795 | -0.03985 | -0.05891 |
| B | -0.03287 | 0.048817 | -0.33718 | 0.218087 | -0.09518 | 0.118041 |
| O | -0.08087 | -0.18356 | 0.190299 | -0.07592 | 0.087987 | 0.05895 |
| Donor ethnicity | ||||||
| Asian | -0.09388 | 0.172408 | -0.09388 | -0.09388 | -0.09388 | 0.019577 |
| Black | 0.235702 | -0.10426 | -0.10426 | -0.10426 | -0.10426 | -0.10426 |
| White | -0.18284 | -0.10107 | 0.140638 | 0.140638 | 0.140638 | 0.050717 |
| Donor positive CMV status | -0.15319 | -0.07133 | -0.12388 | 0.179753 | 0.047903 | 0.118171 |
| Donor positive EBV status | -0.09206 | 0.003988 | -0.01369 | 0.12261 | 0.002437 | -0.0115 |
| Donor positive toxoplasmosis status | 0.085221 | -0.05017 | 0.100121 | -0.19446 | -0.10309 | 0.136286 |
| Donor cardiac disease | -0.02698 | 0.549406 | -0.207 | -0.07812 | -0.37416 | -0.01591 |
| Donor diabetes | -0.37831 | 0.475118 | -0.20372 | 0.007774 | -0.13606 | -0.02641 |
| Donor family history of diabetes | -0.06424 | 0.279421 | -0.16018 | -0.023 | -0.03486 | -0.0104 |
| Donor history of drug abuse | 0.834764 | -0.49937 | -0.67434 | 0.437373 | 0.154552 | -0.65409 |
| Donor hypertension | -0.67428 | 1.019971 | -0.23869 | -0.06014 | -0.66262 | 0.343796 |
| Donor smoker | 0.18875 | 0.098478 | -0.23545 | 0.284012 | 0.191422 | -0.50291 |
| Donor history of UTI | -0.01377 | 0.183746 | -0.15672 | 0.14669 | -0.2279 | -0.00165 |
| Donor allergy | 0.153133 | 0.428873 | -0.21322 | 0.413296 | -0.60394 | -0.24876 |
| Donor creatinine at retrieval | 0.125502 | -0.42356 | -0.02563 | -0.096 | 0.351898 | 0.014002 |
| Donor type | ||||||
| DBD | 0.007415 | -0.10228 | -0.03346 | 0.273614 | -0.09862 | -0.10432 |
| DCD | -0.00741 | 0.102277 | 0.033465 | -0.27361 | 0.098615 | 0.10432 |
| Donor cause of death | ||||||
| Neurological | 0.26055 | 0.454746 | -0.35274 | 0.090477 | -0.15611 | -0.07575 |
| Other | -0.26055 | -0.45475 | 0.352744 | -0.09048 | 0.156112 | 0.075749 |
| Cold ischemia time | -0.04488 | 0.342452 | -0.45242 | 0.597162 | -0.26049 | -0.19252 |
| Perfusate used | ||||||
| HTK | -0.03971 | 0.03199 | -0.06026 | 0.294468 | -0.16003 | -0.21855 |
| Marshalls | -0.34773 | 0.217686 | 0.179445 | -0.42416 | -0.04817 | 0.282263 |
| Wisconsin | 0.338959 | -0.21966 | -0.14738 | 0.191593 | 0.106176 | -0.19929 |
| Perfusion quality | ||||||
| Fair | -0.39856 | 0.091242 | 0.122445 | -0.11029 | 0.215936 | -0.02153 |
| Good | 0.225004 | -0.18566 | -0.09372 | 0.166457 | -0.10417 | 0.027697 |
| Poor | 0.074921 | 0.158416 | -0.00977 | -0.11489 | -0.12394 | -0.01525 |
| Machine perfusion type | ||||||
| HMP | -0.62818 | -0.18049 | 0.573901 | -0.58306 | 0.42157 | 0.439779 |
| NMP | 0.62818 | 0.180493 | -0.5739 | 0.583062 | -0.42157 | -0.43978 |
| Donor homozygous at A locus | 0.021713 | 0.146149 | 0.112907 | -0.25555 | -0.0396 | -0.01395 |
| Donor homozygous at B locus | 0.02525 | -0.02818 | 0.14671 | -0.49644 | 0.237927 | -0.03754 |
| Donor homozygous at DR locus | -0.10806 | -0.12001 | 0.626996 | -0.51105 | 0.071818 | -0.15142 |
| Recipient homozygous at A locus | 0.044589 | -0.14692 | -0.41768 | 0.125595 | 0.168964 | 0.146465 |
| Recipient homozygous at B locus | -0.3114 | -0.08202 | -0.28739 | 0.408741 | 0.074077 | 0.066697 |
| Recipient homozygous at DR locus | -0.54784 | -0.41639 | -0.35489 | 0.589812 | 0.238174 | 0.188202 |
| Number of mismatches at A locus | ||||||
| One | 0.097199 | -0.10749 | 0.212251 | -0.03473 | -0.08176 | -0.08028 |
| Two | -0.29478 | 0.128613 | -0.58751 | 0.229485 | 0.228751 | 0.173743 |
| Zero | 0.19625 | -0.01389 | 0.309202 | -0.26653 | -0.18904 | -0.1127 |
| Number of mismatches at B locus | ||||||
| One | 0.048535 | -0.00741 | 0.204379 | -0.86645 | 0.476811 | 0.170374 |
| Two | -0.48232 | 0.012601 | -0.83654 | 1.326824 | -0.2564 | -0.04173 |
| Zero | 0.40401 | -0.00523 | 0.446308 | -0.5802 | -0.39206 | -0.2065 |
| Number of mismatches at DR locus | ||||||
| One | 0.483892 | 0.361597 | -1.98063 | 0.104253 | 0.122609 | 0.334855 |
| Two | -0.4994 | -0.18924 | -0.4994 | 0.968966 | -0.23929 | -0.08191 |
| Zero | -0.25134 | -0.26978 | 2.62874 | -1.17182 | 0.002459 | -0.30515 |
| HLA mismatch group | ||||||
| (0 DR and 2B) OR (1 DR and 1/0 B) | 0.673474 | 0.521873 | -1.75727 | -0.62392 | 0.28404 | 0.447561 |
| (1 DR and 2 B) OR (2 DR) | -0.63189 | -0.11729 | -0.7675 | 1.718072 | -0.36943 | -0.1061 |
| 0 DR and 1/0 B | -0.18083 | -0.42722 | 1.80884 | -0.94859 | 0.05366 | -0.34678 |
| 0 Mismatches | -0.26696 | -0.26696 | 0.644658 | -0.26696 | -0.26696 | -0.26696 |
| Initial graft function | ||||||
| DGF | -0.29227 | 0.364925 | -0.0898 | 0.109398 | -0.13641 | -0.00691 |
| Immediate | 0.191538 | -0.4476 | 0.15867 | -0.0392 | 0.205079 | -0.02326 |
| PNF | 0.181014 | 0.220671 | -0.24713 | -0.24713 | -0.24713 | 0.07753 |
| Predniscolone/predniscone immunosuppression 3 months post-transplant | ||||||
| No | -0.08321 | -0.32889 | 0.146769 | 0.159979 | -0.00221 | 0.079611 |
| Yes | 0.083214 | 0.328894 | -0.14677 | -0.15998 | 0.002211 | -0.07961 |
| Graft status | ||||||
| Died functioning | -0.33468 | 0.076472 | -0.04423 | 0.029598 | -0.22774 | 0.38821 |
| Died unknown function | -0.06428 | -0.06428 | -0.06428 | -0.06428 | 0.144338 | -0.06428 |
| Failed | -0.07421 | 0.396202 | -0.12747 | -0.11402 | -0.26933 | 0.103673 |
| Functioning | 0.299809 | -0.38451 | 0.136365 | 0.068689 | 0.35079 | -0.39189 |
| Allocation matchability score | -0.89236 | -0.89449 | -0.31801 | 1.168311 | 0.775282 | 0.397993 |
| Serum creatinine (umol/L) at 3 months post-transplant | -0.49329 | 1.139701 | 0.037743 | -0.50205 | -0.92856 | 0.25578 |
| Serum creatinine (umol/L) at 12 months post-transplant | -0.5095 | 0.901736 | -0.009 | -0.24362 | -0.87226 | 0.279751 |
| Follow-up time | -0.81744 | -1.51375 | 1.030244 | -1.33825 | 1.48027 | 0.590485 |
| Transplant year | ||||||
| 2014 | -0.70809 | -0.36308 | 0.425425 | -0.55108 | 0.447064 | 0.3227 |
| 2015 | -0.54249 | -0.24363 | 0.335796 | -0.54249 | 0.373961 | 0.224117 |
| 2016 | -0.21921 | 0.022467 | 0.247963 | -0.43858 | -0.02 | 0.268664 |
| 2017 | -0.41371 | -0.2814 | 0.045193 | -0.0506 | 0.359465 | 0.11809 |
| 2018 | 0.099585 | -0.20458 | 0.044465 | 0.058397 | 0.067217 | -0.09786 |
| 2019 | 0.387393 | -0.0166 | -0.17485 | 0.02006 | -0.23666 | -0.07566 |
| 2020 | 0.153595 | 0.41158 | -0.52733 | 0.399002 | -0.53008 | -0.26831 |
| 2021 | 0.546193 | 0.314455 | -0.56336 | 0.269375 | -0.56604 | -0.4434 |
| 2022 | 0.353089 | -0.20301 | -0.20301 | 0.091326 | -0.20301 | -0.20301 |
| 2023 | 0.180164 | 0.11638 | -0.12913 | -0.12913 | -0.12913 | -0.12913 |
| 2024 | -0.32116 | 0.146404 | -0.21728 | 0.54339 | -0.32116 | -0.32116 |
| Kidney used by local centre | ||||||
| No | 0.400771 | 0.574001 | -0.35512 | 0.431431 | -0.53165 | -0.49953 |
| Yes | -0.40077 | -0.574 | 0.355118 | -0.43143 | 0.531653 | 0.499525 |
Table 8 Cross-Dataset cluster alignment metrics
| Full cohort cluster | MP subgroup cluster | Pearson r | Mean absolute SMD difference |
| 1 | 1 | 0.843 | 0.130 |
| 2 | 2 | 0.895 | 0.128 |
| 3 | 3 | 0.902 | 0.152 |
| 4 | 4 | 0.865 | 0.164 |
| 5 | 5 | 0.895 | 0.117 |
| 6 | 6 | 0.867 | 0.101 |
- Citation: Castellanos De Brigard J, Rangganata E, Papalois VE. Machine perfusion distribution across clinical phenotypes in kidney transplantation: A national cohort study using unsupervised clustering. World J Transplant 2026; 16(3): 121821
- URL: https://www.wjgnet.com/2220-3230/full/v16/i3/121821.htm
- DOI: https://dx.doi.org/10.5500/wjt.121821