Figure 4.
The NIH-HLA laboratory platelet component selection algorithm by cumulative DSA-MFI “scores.” (A) The computational framework developed for the allocation of platelet units (Python version 3.10.0). Data manipulation was facilitated using the “Pandas” package. Recipient information, including HLA antibody specificities and their respective immunogenic strengths, was imported for analysis. Additionally, donor information such as unit number, HLA type, unit expiry date, ABO blood group, and Rh type was also imported. The framework conducts an iterative comparison to evaluate compatibility between recipient antibodies and donor HLA types, from which a “compatibility score” or cumulative DSA-MFI is derived. Special attention is paid to certain HLA types (B14, B15, and B40) because of their serological cross-reactivities, with score adjustments for associated antigens. Donors are then ranked according to their compatibility scores, with the system prioritizing those with lower scores to optimize donor-recipient histocompatibility. Violin plots showing cumulative DSA-MFI changes (B) and 2-hour CCI changes (C) before and after algorithm implementation for 61 transfusions each. Horizontal dark lines for each violin plot denote the median for each group, and n for each plot denotes the number of transfusions in each group. Neither of the comparisons was significant at a P < .05 in 2-tailed t tests.