Gandhi, Manish J.

Abstract Hemovigilance systems allow reporting of adverse occurrences associated with blood transfusion to a central database where events can be reviewed and analyzed for the benefit of patients and donors. Hemolytic and serologic transfusion reactions are among the many types of reactions reported to these systems. The Notify Library, a database of adverse events associated with medical products of human origin, has incorporated hemovigilance into its didactic resources. Students and practitioners are encouraged to use the electronic library and to further enhance this resource through review and recommendation of additional publications in the area of immunohematology. Immunohematology 2017;33:159–164.

Abstract This review was derived from a presentation made on September 2, 2016 for the first Academy Day presented by the Working Party on Immunohematology at the International Society of Blood Transfusion (ISBT) Congress in Dubai. The focus of this review is to provide a brief overview of the clinical significance of blood group antibodies. Blood group antibodies can be naturally occurring (e.g., anti-A and anti-B through exposure to naturally occurring red blood cell [RBC] antigen-like substances) or can occur via exposure to foreign (donor) RBC antigens through previous transfusions, transplants, or exposure to fetal RBCs during or after pregnancy. However, not all blood group antibodies are clinically significant. Clinically significant blood group antibodies can cause adverse events after blood component transfusion or transplantation and/or can cause hemolytic disease of the fetus and newborn. Immunohematology 2018;34:4–6.

BackgroundProzone is a known phenomenon affecting immunoassays causing falsely low or negative results when excess target is present in the test system. For assays used to evaluate immune‐mediated platelet (PLT) transfusion refractoriness, prozone‐like phenomenon has been described in solid‐phase human leukocyte antigen (HLA) antibody testing and can be mitigated by diluting samples or pretreating samples with ethylenediaminetetraacetic acid (EDTA) or dithiothreitol. Prozone phenomenon has not yet been described in solid‐phase red blood cell (RBC) adherence PLT crossmatch assays.Case ReportA 40‐year‐old female with myeloid sarcoma and PLT transfusion refractoriness underwent repeated solid‐phase PLT crossmatches; however, crossmatch‐compatible PLTs units did not yield adequate PLT count responses. Class I HLA antibody testing with neat, diluted, and EDTA‐pretreated serum demonstrated significant prozone‐like effect and the presence of numerous high strength HLA antibodies. Based on this HLA antibody profile, HLA antigen–negative PLTs gave an adequate PLT count response. It was noted that the HLA types of her crossmatch‐compatible PLTs were incompatible with her HLA antibody profile (eg, HLA‐A2). With ABO‐identical, HLA‐A2–positive PLT units, a solid‐phase PLT crossmatch was repeated using undiluted and diluted EDTA plasma. Undiluted EDTA plasma demonstrated negative or weakly positive PLT crossmatches while the diluted EDTA plasma demonstrated strongly positive PLT crossmatches.ConclusionThe prozone phenomenon can cause false‐negative results in solid‐phase RBC adherence PLT crossmatch assays, which can be mitigated with sample dilution. In immune‐mediated PLT transfusion–refractory patients with high‐strength HLA antibodies, sample dilution should be considered to correctly identify compatible PLT inventory.

AbstractBackgroundPlatelet (PLT) transfusion refractoriness increases bleeding complications, hospital stays, and PLT inventory usage. Immune‐mediated refractoriness can be evaluated for using a physical PLT crossmatch with ABO‐compatible inventory and, if positive, managed with HLA‐compatible PLT inventory and donors. Manual completion of these complex tasks can be time‐consuming and potentially error‐prone. This study was conducted to determine if a Web‐based software application could improve process efficiency and accuracy.Study Design and MethodsWorkflow analysis was performed to identify process, data, and analytic requirements for a software application for three PLT transfusion‐refractoriness associated tasks: (a) physical PLT crossmatch inventory selection, (b) HLA‐compatible inventory selection, and (c) HLA‐compatible donor selection. After software application development, a comparison study was performed over 10 consecutive days, with each task performed manually and with the software application (Platelet Virtual Crossmatch [PLT VXM]) for a different unique immune‐mediated PLT transfusion–refractory recipient. Task completion time, number of incompatible units/donors presented, and number of documentation errors were compared.ResultsPLT VXM is a Web‐based software application developed using R and the Shiny Web application framework. PLT VXM significantly reduced median task completion times by 4.5 (49%), 11.2 (79%), and 59.1 minutes (94%), respectively. PLT VXM did not present any incompatible PLT units or donors for user consideration. PLT VXM also had a lower number of documentation errors than the manual process, and none of these documentation errors were software generated.ConclusionComputer‐aided evaluation and management of immune‐mediated PLT transfusion–refractory recipients can significantly improve workflow and reduce manual errors in this complex process.

Background Daratumumab (DARA), a human IgG1 K monoclonal antibody targeting CD38, is used to treat refractory multiple myeloma patients. CD38 is expressed on many cell types (RBCs, granulocytes, lymphocytes, etc.), and thus, DARA can interfere with serological tests. Information regarding how DARA affects anti‐granulocyte antibody (AGA) testing and optimal neutralization of DARA will help laboratories perform accurate testing. Methods Screening of AGA was performed by the granulocyte agglutination test (GAT) and the flow cytometric granulocyte immunofluorescence test (Flow‐GIFT). Samples were tested from patients on DARA ( n = 7), non‐transfused blood donors (healthy controls, n = 7) and AGA reactive samples (positive controls, n = 5). Two neutralization experiments, CD38 removal with DTT and DARA epitope blockage with mouse anti‐CD38, were evaluated. Results Positive reactivity of human IgG binding was observed in 5/7 DARA cases when tested by Flow‐GIFT; however, all 7 cases had negative GAT agglutination results. Further studies by Flow‐GIFT revealed DARA concentrations >0·63 μg/ml bound to granulocytes. DARA binding was negated by DTT though a reduced Flow‐GIFT sensitivity was observed in positive control samples due to increased background detection of human IgG. Mouse anti‐CD38 neutralized the detection of human IgG observed in DARA‐treated patient serum without effecting controls. Conclusion We established that DARA can interfere with AGA testing, leading to false positive Flow‐GIFT results without causing GAT agglutination. DTT treatment increased background binding of secondary antibodies causing a decrease in Flow‐GIFT sensitivity. In comparison, blockage of the DARA binding epitope using mouse anti‐CD38 antibody was effective in neutralizing DARA interference while maintaining Flow‐GIFT sensitivity.

Background: Immune checkpoint inhibitors (ICIs) frequently cause thyroid dysfunction but their underlying mechanism remains unclear. We have previously demonstrated increased circulating natural killer (NK) cells and human leukocyte antigen (HLA)-DR surface expression on inflammatory intermediate CD14 + CD16 + monocytes in programmed cell death protein-1 (PD-1) inhibitor-treated patients. This study characterizes intrathyroidal and circulating immune cells and class II HLA in ICI-induced thyroiditis. Methods: This is a single-center prospective cohort study of 10 patients with ICI-induced thyroiditis by flow cytometry of thyroid fine needle aspirates ( n = 9) and peripheral blood ( n = 7) as compared with healthy thyroid samples ( n = 5) and healthy volunteer blood samples ( n = 44); HLA class II was tested in n = 9. Results: ICI-induced thyroiditis samples demonstrated overall increased T lymphocytes (61.3% vs. 20.1%, p = 0.00006), CD4 − CD8 − T lymphocytes (1.9% vs. 0.7%, p = 0.006), and, as a percent of T lymphocytes, increased CD8 + T lymphocytes (38.6% vs. 25.7%; p = 0.0259) as compared with healthy thyroid samples. PD-1 inhibitor-induced thyroiditis had increased CD4 + PD1 + T lymphocytes (40.4% vs. 0.8%; p = 0.021) and CD8 + PD1 + T lymphocytes (28.8% vs. 1.5%; p = 0.038) in the thyroid compared with the blood. Circulating NK cells, certain T lymphocytes (CD4 + CD8 + , CD4 − CD8 − T, gamma – delta), and intermediate monocytes were increased in ICI-induced thyroiditis. Six patients typed as HLA-DR4-DR53 and three as HLA-DR15. Conclusions: ICI-induced thyroiditis is a T lymphocyte-mediated process with intra-thyroidal predominance of CD8 + and CD4 − CD8 − T lymphocytes. The HLA haplotypes may be involved but need further evaluation. These findings expand the limited understanding of ICI-induced thyroiditis, which could be further translated to guide immunomodulatory therapies for advanced thyroid cancer.

BACKGROUND Determination of blood donor hemoglobin (Hb) levels is a pre‐requisite to ensure donor safety and blood product quality. We aimed to identify Hb measurement practices across blood donation services and to what extent differences associate with low‐Hb deferral rates. METHODS An online survey was performed among Biomedical Excellence for Safer Transfusion (BEST) Collaborative members, extended with published data. Multivariable negative‐binomial regression models were built to estimate adjusted associations of minimum donation intervals, Hb cut‐offs (high, ≥13.5 g/dL in men or ≥ 12.5 g/dL in women, vs. lower values), iron monitoring (yes/no), providing or prescribing iron supplementation (yes/no), post‐versus pre‐donation Hb measurement and geographical location (Asian vs. rest), with low‐Hb deferral rates. RESULTS Data were included from 38 blood services. Low‐Hb deferral rates varied from 0.11% to 8.81% among men and 0.84% to 31.85% among women. Services with longer minimum donation intervals had significantly lower deferral rates among both women (rate ratio, RR 0.53, 95%CI 0.33‐0.84) and men (RR 0.53, 95%CI 0.31‐0.90). In women, iron supplementation was associated with lower Hb deferral rates (RR 0.47, 95%CI 0.23‐0.94). Finally, being located in Asia was associated with higher low‐Hb deferral rates; RR 9.10 (95%CI 3.89‐21.27) for women and 6.76 (95%CI 2.45‐18.68) for men. CONCLUSION Differences in Hb measurement and eligibility criteria, particularly longer donation intervals and iron supplementation in women, are associated with variations in low‐Hb deferral rates. These insights could help improve both blood donation service efficiency and donor care.

BACKGROUNDSingle antigen bead (SAB) assays are used to identify human leukocyte antigen (HLA) antibodies in patients with platelet refractoriness due to HLA Class I alloimmunization. Some laboratories use serum pretreatment regimens to eliminate interference from immunoglobulin M antibodies and complement. These modifications may contribute to interlaboratory variability, which is a recognized problem with the SAB assay.STUDY DESIGN AND METHODSFive patientsʼ sera were overnight shipped to 12 laboratories in the United States and internationally. Recipients used their labʼs SAB procedure to identify HLA Class I antibodies. The resultant mean fluorescence intensity (MFI) data were compared by instrumentation, bead lot, and pretreatment regimens. Laboratory‐specific cutoffs for positive antibodies were applied to the results.RESULTSInterlaboratory variability for MFI values appears to be associated with different pretreatment regimens. The coefficient of variation (CV) of MFI from samples pretreated with ethylenediaminetetraacetic acid, dithiothreitol, or heat inactivation (EDHI) were similar, ranging from 14% to 56% (mean, 22%). For samples with no pretreatment, the CVs were significantly higher than EDHI‐treated samples, ranging from 25% to 74% (mean, 39%; 95% confidence interval, 12.10‐21.90; p < 0.0001). An intralaboratory comparison of pretreatment regimens confirmed these findings. Some positive antibody specificities present in EDHI‐treated samples were negative in corresponding samples with no pretreatment when laboratory‐specific cutoffs for positive antibodies were applied.CONCLUSIONOur results show that greater interlaboratory precision can be achieved when samples are pretreated with EDHI as opposed to no pretreatment, likely because these pretreatments eliminate interference from inhibitors. Inhibitors may mask antibodies, leading to missed (or uncalled) specificities when no pretreatment is used.