Allo-antibody identification: a software approach

Abstract Background Unexpected allo-antibody identification is difficult serological test requiring in-depth knowledge of antibody behavior, identification rules, knowledge of zygosity of antigens and dosage phenomenon. Software which uses an algorithm based on characteristics of antibodies is now a...

Full description

Saved in:
Bibliographic Details
Published in:Transfusion and apheresis science 2014-10, Vol.51 (2), p.197-202
Main Authors: Tiwari, Aseem Kumar, Dara, Ravi C, Arora, Dinesh, Aggarwal, Geet, Rawat, Ganesh, Mitra, Subhasis, Prashant, Pandey K, Raina, Vimarsh
Format: Article
Language:English
Subjects:
Algorithms
Allo-antibody
Allo-immunization
Female
Health technology assessment
Hematology, Oncology and Palliative Medicine
Humans
Irregular antibody
Isoantibodies - blood
Male
Resolvigen
Retrospective Studies
Software
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Background Unexpected allo-antibody identification is difficult serological test requiring in-depth knowledge of antibody behavior, identification rules, knowledge of zygosity of antigens and dosage phenomenon. Software which uses an algorithm based on characteristics of antibodies is now available to interpret specificity of allo-antibody. A study was undertaken to evaluate the effectiveness of one such software (Resolvigen) for antibody identification compared with manual antibody identification method. Materials and Methods The study was a retrospective observational study where 238 allo-antibody results were re-evaluated using Resolvigen software (Ortho Clinical Diagnostics, Johnson and Johnson, Raritan, NJ, USA) and agreement between manual and software approaches was studied. Resolvigen software was also evaluated for usefulness, ease of use and predicted future usage by administering investigators a questionnaire with Likert scale. Results Agreement between the results of manual and automated methods ranged from 98.6% for single antibody to 65% for two antibodies ( p  = 0.000). Resolvigen software came out as very useful, easy to use, and with high predicted future usage. Conclusion This study concludes that Resolvigen can either replace manual method or be used as adjuvant to routine manual method.
ISSN:1473-0502
1878-1683
DOI:10.1016/j.transci.2014.08.020