cPRA Increases With DQA, DPA, and DPB Unacceptable Antigens in the Canadian cPRA Calculator

A calculated panel reactive antibody (cPRA) estimates the percentage of donors with unacceptable antigens (UA) for a recipient. cPRA may be underestimated in transplant candidates with UA to DQA, DPA, and DPB if these are not included in the calculation program. To serve the National Canadian Transp...

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Bibliographic Details
Published in:American journal of transplantation Vol. 15; no. 12; pp. 3194 - 3201
Main Authors: Tinckam, K. J., Liwski, R., Pochinco, D., Mousseau, M., Grattan, A., Nickerson, P., Campbell, P.
Format: Journal Article
Language:English
Published: United States Elsevier Limited 01-12-2015
John Wiley and Sons Inc
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Summary:A calculated panel reactive antibody (cPRA) estimates the percentage of donors with unacceptable antigens (UA) for a recipient. cPRA may be underestimated in transplant candidates with UA to DQA, DPA, and DPB if these are not included in the calculation program. To serve the National Canadian Transplant Programs, a cPRA calculator was developed with complete molecular typing for all donors at HLA‐A, B, C, DRB1, DRB3/4/5, DQA1, DQB1, DPA1, and DPB1, all resolved to serologic equivalents. The prevalence of UA at DQA, DPA and DPB was evaluated in a sensitized regional population. The impact of adding these additional UA to cPRA was calculated alone and in combination, and compared to the baseline cPRA for UA at A, B, C, DR, DR51/52/53, and DQ. Of 740 sensitized transplant candidates, 18% of total and 32% with cPRA≥95% had DQA UA. Twenty‐seven percent of total and 54% with cPRA≥95% had DPB UA. Of 280/740 subjects with these UA, 36/280 (13%) had cPRA increase of >20% when they were included, 7% increased cPRA to ≥80% and 6% to ≥95%. Inclusion of DQA, DPA, and DPB UA in Canadian cPRA calculations improves the accuracy of cPRA where these are relevant in allocation. Inclusion of DQA, DPA and DPB in the Canadian cPRA calculator increases cPRA by >20% in 13% of patients with these unacceptable antigens, improving cPRA estimates where these loci are relevant in virtual crossmatching.
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ISSN:1600-6135
1600-6143
DOI:10.1111/ajt.13355