Systematic literature review and meta‐analysis of concordance and accuracy of pretransfusion immunohematology routine tests
Year: 2025
Type: review
Study designs: Systematic Review, Meta-Analysis
Abstract: OBJECTIVES: This study aimed to assess the concordance and comparative accuracy of commercially available immunohematology (IH) tests for pretransfusion testing. BACKGROUND: Pretransfusion tests are intended to ensure donor blood is matched with a compatible recipient. Automated testing has become the mainstay since the commercialisation of IH analysers, because of their reduced risk of human error and increased efficiency. METHODS/MATERIALS: A systematic literature review (SLR) was performed to identify studies evaluating the concordance and sensitivity/specificity of IH tests for ABO/RhD typing, antibody screening, or antibody identification. Pairwise meta-analysis of concordance and sensitivity/specificity of IH tests was conducted when feasible. RESULTS: The SLR identified 48 publications, of which 30 were included for meta-analysis. ID/IH gel (Bio-Rad), DG gel (Grifols), MTS/BioVue gel (Ortho Clinical Diagnostics), and Capture R (Immucor/Werfen) all had almost 100% pooled concordance with each other in ABO/RhD typing and antibody screening. Antibody identification results varied across studies, and pooled concordance rates were lower: 97.53% for DG gel versus ID/IH gel, 85.26% for ID/IH gel vs. MTS/BioVue gel, 85.54% for DG gel versus MTS/BioVue gel, and 71.19% for Capture R versus MTS/BioVue gel. For antibody screening, ID/IH gel, DG gel, and MTS/BioVue gel had pooled sensitivities of 94.23%, 96.31%, and 97.27%, respectively, with a pooled specificity of ~100% for all three tests. CONCLUSION: All tests had good concordance in ABO/RhD typing and antibody screening, and lower pooled concordance rates for antibody identification. For antibody screening, 95% pooled sensitivity and ~100% specificity were estimated for DG gel, MTS/BioVue gel, and ID/IH gel.
Source: Transfusion Medicine
DOI: 10.1111/tme.70010
Authors: Christopher Elliott, Stephanie Kelham, Liu Zhang, Stacy Grieve, Tommy Lan, Hoora Moradian, Cristina Coll‐Ortega, David Gómez‐Ulloa
Institutions: NHS Blood and Transplant, Cytel (United States)
Language: English
Topic: Blood groups and transfusion
Subfield: Hematology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,700
Funder: Grifols
OpenAlex ID: W4413604603
