Retrospection of Anti–Blood Group Antibody Proficiency Testing Data Using the Geometric Mean and Standard Deviation

Abstract 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 × geom...

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Published in:American journal of clinical pathology Vol. 153; no. 4; pp. 530 - 536
Main Authors: Yang, John Jeongseok, Chung, Yousun, Kim, Hyungsuk, Ko, Dae-Hyun, Hwang, Sang-Hyun, Oh, Heung-Bum
Format: Journal Article
Language:English
Published: US Oxford University Press 09-03-2020
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Abstract Abstract 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.
AbstractList We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic data. 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. 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. Geometric means are more robust and precise in visualizing the central tendency. This method can improve the statistical robustness of PT evaluations.
Abstract 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.
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) [+ or -]2 * geometric standard deviation (GSD) was used as the comparative consensus criterion to mode [+ or -] 2 titers. Results: Using the PT evaluation criterion of mode [+ or -] 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 [+ or -] 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 [+ or -] 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. Key Words: Retrospection; Anti-blood group antibody; Proficiency testing; Geometric mean; Standard deviation
OBJECTIVESWe reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic data. METHODSUsing 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. RESULTSUsing 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. CONCLUSIONSGeometric means are more robust and precise in visualizing the central tendency. This method can improve the statistical robustness of PT evaluations.
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.
Audience Professional
Academic
Author Hwang, Sang-Hyun
Chung, Yousun
Ko, Dae-Hyun
Oh, Heung-Bum
Kim, Hyungsuk
Yang, John Jeongseok
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  givenname: Yousun
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  surname: Chung
  fullname: Chung, Yousun
  organization: Department of Laboratory Medicine, Kangdong Sacred Heart Hospital, Seoul, Korea
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  surname: Kim
  fullname: Kim, Hyungsuk
  organization: Department of Laboratory Medicine, Seoul National University Hospital, Seoul, Korea
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  givenname: Dae-Hyun
  surname: Ko
  fullname: Ko, Dae-Hyun
  email: daehyuni1118@amc.seoul.kr
  organization: Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea
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  fullname: Hwang, Sang-Hyun
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  givenname: Heung-Bum
  surname: Oh
  fullname: Oh, Heung-Bum
  organization: Department of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea
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Cites_doi 10.1046/j.1537-2995.1990.30290162907.x
10.1111/j.1399-3089.2006.00296.x
10.21037/jtd.2017.05.81
10.1111/j.1423-0410.2008.01043.x
10.3346/jkms.2005.20.4.542
10.1080/00365540110089836
10.5858/arpa.2015-0351-OA
10.1111/j.1749-6632.1983.tb22184.x
10.1111/vox.12399
ContentType Journal Article
Copyright American Society for Clinical Pathology, 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2019
American Society for Clinical Pathology, 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
COPYRIGHT 2020 Oxford University Press
American Society for Clinical Pathology, 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com
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– notice: American Society for Clinical Pathology, 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
– notice: COPYRIGHT 2020 Oxford University Press
– notice: American Society for Clinical Pathology, 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com
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Issue 4
Keywords Standard deviation
Geometric mean
Anti–blood group antibody
Proficiency testing
Retrospection
Language English
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American Society for Clinical Pathology, 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
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References Reverberi (2020030912072597100_CIT0002) 2008; 6
Thorpe (2020030912072597100_CIT0011) 2016; 111
Gilbert (2020030912072597100_CIT0004) 1987
Yu (2020030912072597100_CIT0006) 2005; 20
Divisi (2020030912072597100_CIT0007) 2017; 9
AuBuchon (2020030912072597100_CIT0001) 2008; 95
Taylor (2020030912072597100_CIT0003) 1983; 420
Bachegowda (2020030912072597100_CIT0008) 2017; 141
Judd (2020030912072597100_CIT0010) 1990; 30
Daxboeck (2020030912072597100_CIT0005) 2002; 34
Kobayashi (2020030912072597100_CIT0009) 2006; 13
References_xml – volume: 30
  start-page: 175
  year: 1990
  ident: 2020030912072597100_CIT0010
  article-title: Prenatal and perinatal immunohematology: recommendations for serologic management of the fetus, newborn infant, and obstetric patient
  publication-title: Transfusion.
  doi: 10.1046/j.1537-2995.1990.30290162907.x
  contributor:
    fullname: Judd
– volume: 13
  start-page: 136
  year: 2006
  ident: 2020030912072597100_CIT0009
  article-title: A series of surveys on assay for anti-A/B antibody by Japanese ABO-incompatible transplantation committee
  publication-title: Xenotransplantation.
  doi: 10.1111/j.1399-3089.2006.00296.x
  contributor:
    fullname: Kobayashi
– volume: 9
  start-page: 1734
  year: 2017
  ident: 2020030912072597100_CIT0007
  article-title: Basic statistics with Microsoft Excel: a review
  publication-title: J Thorac Dis.
  doi: 10.21037/jtd.2017.05.81
  contributor:
    fullname: Divisi
– volume: 6
  start-page: 37
  year: 2008
  ident: 2020030912072597100_CIT0002
  article-title: The statistical analysis of immunohaematological data
  publication-title: Blood Transfus.
  contributor:
    fullname: Reverberi
– volume: 95
  start-page: 57
  year: 2008
  ident: 2020030912072597100_CIT0001
  article-title: Reducing the variation in performance of antibody titrations
  publication-title: Vox Sang.
  doi: 10.1111/j.1423-0410.2008.01043.x
  contributor:
    fullname: AuBuchon
– volume: 20
  start-page: 542
  year: 2005
  ident: 2020030912072597100_CIT0006
  article-title: Distributions of antibody titers to Mycoplasma pneumoniae in Korean children in 2000-2003
  publication-title: J Korean Med Sci.
  doi: 10.3346/jkms.2005.20.4.542
  contributor:
    fullname: Yu
– volume: 34
  start-page: 577
  year: 2002
  ident: 2020030912072597100_CIT0005
  article-title: Effect of age on antibody titer to Mycoplasma pneumoniae
  publication-title: Scand J Infect Dis.
  doi: 10.1080/00365540110089836
  contributor:
    fullname: Daxboeck
– volume: 141
  start-page: 131
  year: 2017
  ident: 2020030912072597100_CIT0008
  article-title: Impact of uniform methods on interlaboratory antibody titration variability: antibody titration and uniform methods
  publication-title: Arch Pathol Lab Med.
  doi: 10.5858/arpa.2015-0351-OA
  contributor:
    fullname: Bachegowda
– volume: 420
  start-page: 13
  year: 1983
  ident: 2020030912072597100_CIT0003
  article-title: Measurement of variation and significance in serologic tests
  publication-title: Ann N Y Acad Sci.
  doi: 10.1111/j.1749-6632.1983.tb22184.x
  contributor:
    fullname: Taylor
– volume-title: Statistical Methods for Environmental Pollution Monitoring
  year: 1987
  ident: 2020030912072597100_CIT0004
  contributor:
    fullname: Gilbert
– volume: 111
  start-page: 161
  year: 2016
  ident: 2020030912072597100_CIT0011
  article-title: A WHO reference reagent to standardize haemagglutination testing for anti-A and anti-B in serum and plasma: international collaborative study to evaluate a candidate preparation
  publication-title: Vox Sang.
  doi: 10.1111/vox.12399
  contributor:
    fullname: Thorpe
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Snippet Abstract Objectives We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of...
We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic data. Using...
Objectives: We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic...
Objectives We reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic...
OBJECTIVESWe reanalyzed the data from proficiency testing (PT) to assess the effect of the geometric mean in the statistical analysis of immunohematologic...
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StartPage 530
SubjectTerms Analysis
Antibodies
Blood
Blood groups
Dispersion measures (Statistics)
Hematology
Medical examination
Medical research
Medical statistics
Medicine, Experimental
Methods
Standard deviation
Statistical analysis
Statistics
Viral antibodies
Title Retrospection of Anti–Blood Group Antibody Proficiency Testing Data Using the Geometric Mean and Standard Deviation
URI https://www.ncbi.nlm.nih.gov/pubmed/31844892
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