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 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 |
- 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