| Literature DB >> 29287807 |
Eric Davis1, Sean Devlin2, Candice Cooper3, Melissa Nhaissi1, Jennifer Paulson3, Deborah Wells1, Andromachi Scaradavou1, Sergio Giralt4, Esperanza Papadopoulos4, Nancy A Kernan1, Courtney Byam1, Juliet N Barker5.
Abstract
A strategy to rapidly determine if a matched unrelated donor (URD) can be secured for allograft recipients is needed. We sought to validate the accuracy of (1) HapLogic match predictions and (2) a resultant novel Search Prognosis (SP) patient categorization that could predict 8/8 HLA-matched URD(s) likelihood at search initiation. Patient prognosis categories at search initiation were correlated with URD confirmatory typing results. HapLogic-based SP categorizations accurately predicted the likelihood of an 8/8 HLA-match in 830 patients (1530 donors tested). Sixty percent of patients had 8/8 URD(s) identified. Patient SP categories (217 very good, 104 good, 178 fair, 33 poor, 153 very poor, 145 futile) were associated with a marked progressive decrease in 8/8 URD identification and transplantation. Very good to good categories were highly predictive of identifying and receiving an 8/8 URD regardless of ancestry. Europeans in fair/poor categories were more likely to identify and receive an 8/8 URD compared with non-Europeans. In all ancestries very poor and futile categories predicted no 8/8 URDs. HapLogic permits URD search results to be predicted once patient HLA typing and ancestry is obtained, dramatically improving search efficiency. Poor, very poor, andfutile searches can be immediately recognized, thereby facilitating prompt pursuit of alternative donors.Entities:
Keywords: Allogeneic hematopoietic stem cell transplantation; Search categorization; Unrelated donors
Mesh:
Year: 2017 PMID: 29287807 PMCID: PMC5953787 DOI: 10.1016/j.bbmt.2017.12.791
Source DB: PubMed Journal: Biol Blood Marrow Transplant ISSN: 1083-8791 Impact factor: 5.742