KPD using virtual crossmatch is a valid and effective solution for patients with immunologically incompatible donors even in the context of highly sensitized recipients.
Summary
In the Australian kidney paired donation (KPD) program matching is based on acceptable mismatches, whereas deceased donor waitlist (DDWL) patients are allocated kidneys based on HLA antigen matching rules. Herein, we compared waiting time for a KPD match to the waiting time on the DDWL and the occurrence of matching in the DDWL for patients who were registered in both programs. Data on first dialysis, matches on the DDWL, KPD program entry, matches and transplant dates were assessed in 26 KPD recipients of the Australian program. There were 22 recipients who were listed in the DDWL and received kidney transplants by KPD. Time on dialysis until KPD transplantation was 808 ± 646 days. Eleven patients had never been matched with a deceased donor (waiting time 345 ± 237 days) and 11 had been matched on average 3 ± 5 times (waiting time 1227 ± 615 days, P < 0.0001 vs. never matched), but did not progress to transplantation because of positive crossmatch or class II donor‐specific antibody. Mean time from registration in the KPD program until kidney transplantation was 153 ± 92 days (P < 0.0001 vs. DDWL). KPD allocation using the acceptable mismatch approach is effective in identifying suitable live donors for some recipients within a relatively short time‐frame.
HLA eplet matching is a novel approach to define acceptable HLA mismatches for transplant recipients. We performed an eplet analysis of three different transplant case‐series to determine if the available software programs gave accurate results. Eplet analysis was performed for three different transplant case‐series typed by NGS for all HLA class I and II loci. The three different HLA datasets were entered into both the HLAMatchmaker program (v2.1) and OLI Fusion MatchMaker (v4.2) software tools. Eplet results which were discordant were cross referenced against eplet registry and published HLA allele sequence data to determine the correct assignments. The comparison reveals that there was poor concordance between the two eplet programs. Analysis of the same donor/recipient pair often gave rise to different total eplet scores, incorrect eplet mismatches and antibody verification status, and both programs have eplets assigned to incorrect HLA alleles. Overall, the OLI Fusion MatchMaker eplet tool gave more accurate and useful eplet results. Eplet matching is still primarily a research tool. Before eplet matching can enter routine clinical practice further work is required to validate the accuracy of available eplet software programs. Incorrect eplet assignment could have serious adverse consequences in the clinical transplant setting.
Spleen and lymph node retrieved post-mortem from deceased organ donors are a rich source of lymphocytes. Storage of lymphocytes separated from these sources can be valuable where post-transplant testing (crossmatching) is required. DNA extraction from stored lymphocytes also allows further genetic testing where required, for example additional HLA typing not performed at the time of transplant for donor-specific antibody monitoring. Methods for the isolation and freezing of such cells is described.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.