Using EasyMatch(R) to anticipate the identification of an HLA identical unrelated donor: A validated efficient time and cost saving method

International audienceIn the absence of an HLA matched familial donor, a search for an unrelated donor or cord blood unit is initiated through worldwide registries. Although a first look-up on available HLA information of donors in the "book" at BMDW (Bone Marrow Donor Worldwide) can provide a good estimation of the number of compatible donors, the variety of resolution typing levels requires confirmatory typing (CT) which are expensive and time consuming. In order to help recipient centers in their work. The French donor registry (France Greffe de Moelle/Agence de la Biomedecine) has recently developed a software program called "EasyMatch(R)" that uses haplotype frequencies to compute the likelihood of phenotypic match in donors according to various typing resolution levels. The goal of our study is to report a single monocentric user-experience with EasyMatch(R), demonstrating that its routine use reduced the cost and the delay of the donor search in our center, allowing the definition of a new strategy to search compatible unrelated donors. The strategy was first established on a retrospective cohort of 217 recipients (185 adults and 32 children=before score) and then validated on a prospective cohort of 171 recipients (160 adults and 11 children=after score). For all patients, we calculated the delay between the registration day and the donor identification day, and the number of CT requested to the donor centre. Considering both groups, we could observe a significant decrease of the number of CT from 8 to 2 (p\textless0,001), and a significant decrease of the median delay to identify a suitable donor from 43 to 31days (p\textless0.0001). EasyMatch(R) estimates the number of potentially identical donors, but doesn't foresee availability of the donors. It provides us an easy tracking of mismatches, an estimation of the number of potential donors, the selection of population following ethnic origin of patients and a high prediction when probability is high or low. It affords a new approach of donor search in our daily work and improves the efficiency in the great challenge of the compatible donor identificatio