BACKGROUND: It is estimated that 19.2% of kidneys exported for candidates with >98% calculated panel reactive antibodies are transplanted into unintended recipients, most commonly due to positive physical crossmatch (PXM). We describe the application of a virtual crossmatch (VXM) that has resulted in a very low rate of transplantation into unintended recipients. METHODS: We performed a retrospective review of kidneys imported to our center to assess the reasons driving late reallocation based on the type of pretransplant crossmatch used for the intended recipient. RESULTS: From December 2014 to October 2017, 254 kidneys were imported based on our assessment of a VXM. Of these, 215 (84.6%) were transplanted without a pretransplant PXM. The remaining 39 (15.4%) recipients required a PXM on admission using a new sample because they did not have an HLA antibody test within the preceding 3 months or because they had a recent blood transfusion. A total of 93% of the imported kidneys were transplanted into intended recipients. There were 18 late reallocations: 9 (3.5%) due to identification of a new recipient medical problem upon admission, 5 (2%) due to suboptimal organ quality on arrival, and only 4 (1.6%) due to a positive PXM or HLA antibody concern. A total of 42% of the recipients of imported kidneys had a 100% calculated panel reactive antibodies. There were no hyperacute rejections and very infrequent acute rejection in the first year suggesting no evidence for immunologic memory response. CONCLUSIONS: Seamless sharing is within reach, even when kidneys are shipped long distances for highly sensitized recipients. Late reallocations can be almost entirely avoided with a strategy that relies heavily on VXM.
BACKGROUND: It is estimated that 19.2% of kidneys exported for candidates with >98% calculated panel reactive antibodies are transplanted into unintended recipients, most commonly due to positive physical crossmatch (PXM). We describe the application of a virtual crossmatch (VXM) that has resulted in a very low rate of transplantation into unintended recipients. METHODS: We performed a retrospective review of kidneys imported to our center to assess the reasons driving late reallocation based on the type of pretransplant crossmatch used for the intended recipient. RESULTS: From December 2014 to October 2017, 254 kidneys were imported based on our assessment of a VXM. Of these, 215 (84.6%) were transplanted without a pretransplant PXM. The remaining 39 (15.4%) recipients required a PXM on admission using a new sample because they did not have an HLA antibody test within the preceding 3 months or because they had a recent blood transfusion. A total of 93% of the imported kidneys were transplanted into intended recipients. There were 18 late reallocations: 9 (3.5%) due to identification of a new recipient medical problem upon admission, 5 (2%) due to suboptimal organ quality on arrival, and only 4 (1.6%) due to a positive PXM or HLA antibody concern. A total of 42% of the recipients of imported kidneys had a 100% calculated panel reactive antibodies. There were no hyperacute rejections and very infrequent acute rejection in the first year suggesting no evidence for immunologic memory response. CONCLUSIONS: Seamless sharing is within reach, even when kidneys are shipped long distances for highly sensitized recipients. Late reallocations can be almost entirely avoided with a strategy that relies heavily on VXM.
Authors: S Peacock; D Briggs; M Barnardo; R Battle; P Brookes; C Callaghan; B Clark; C Collins; S Day; N Diaz Burlinson; P Dunn; R Fernando; S Fuggle; A Harmer; D Kallon; D Keegan; T Key; E Lawson; S Lloyd; J Martin; J McCaughan; D Middleton; F Partheniou; A Poles; T Rees; D Sage; E Santos-Nunez; O Shaw; M Willicombe; J Worthington Journal: Int J Immunogenet Date: 2021-09-23 Impact factor: 2.385
Authors: Chethan M Puttarajappa; Dana Jorgensen; Jonathan G Yabes; Kwonho Jeong; Adriana Zeevi; John Lunz; Amit D Tevar; Michele Molinari; Sumit Mohan; Sundaram Hariharan Journal: Kidney Int Date: 2021-04-30 Impact factor: 18.998
Authors: Ana María Arrunátegui; Daniel S Ramón; Luz Marina Viola; Linda G Olsen; Andrés Jaramillo Journal: Biomedica Date: 2022-06-01 Impact factor: 1.173