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 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 |
- 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