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Updated: Jan 1, 2026
A Semi-automated Approach to Preparing Antibody Cocktails for Immunophenotypic Analysis of Human Peripheral Blood
Published on: February 8, 2016
Retrospection of Anti-Blood Group Antibody Proficiency Testing Data Using the Geometric Mean and Standard Deviation
John Jeongseok Yang1, Yousun Chung2, Hyungsuk Kim3
1Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.
Objectives:
We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic data.
Methods:
Using the five most recent anti-blood group antibody titer participant summary results, the geometric mean (GM) ±2 × geometric standard deviation (GSD) was used as the comparative consensus criterion to mode ±2 titers.
Results:
Using the PT evaluation criterion of mode ±2 titers, the mean percentages of participants with acceptable results were 97.5% and 97.8% for anti-A and anti-D, respectively. When applying GM ±2 GSD, the mean percentages of acceptable results were 96.1% (anti-A) and 96.1% (anti-D). The percentages of responses included in each consensus criterion were lower using GM ±2 GSD, with a few exceptions.
Conclusions:
Geometric means are more robust and precise in visualizing the central tendency. This method can improve the statistical robustness of PT evaluations.
