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 (read more)
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