Literature DB >> 24911327

The Immunology Quality Assessment Proficiency Testing Program for CD3⁺4⁺ and CD3⁺8⁺ lymphocyte subsets: a ten year review via longitudinal mixed effects modeling.

J Bainbridge1, C L Wilkening2, W Rountree1, R Louzao3, J Wong1, N Perza1, A Garcia1, T N Denny1.   

Abstract

Since 1999, the National Institute of Allergy and Infectious Diseases Division of AIDS (NIAID DAIDS) has funded the Immunology Quality Assessment (IQA) Program with the goal of assessing proficiency in basic lymphocyte subset immunophenotyping for each North American laboratory supporting the NIAID DAIDS HIV clinical trial networks. Further, the purpose of this program is to facilitate an increase in the consistency of interlaboratory T-cell subset measurement (CD3(+)4(+)/CD3(+)8(+) percentages and absolute counts) and likewise, a decrease in intralaboratory variability. IQA T-cell subset measurement proficiency testing was performed over a ten-year period (January 2003-July 2012), and the results were analyzed via longitudinal analysis using mixed effects models. The goal of this analysis was to describe how a typical laboratory (a statistical modeling construct) participating in the IQA Program performed over time. Specifically, these models were utilized to examine trends in interlaboratory agreement, as well as successful passing of proficiency testing. Intralaboratory variability (i.e., precision) was determined by the repeated measures variance, while fixed and random effects were taken into account for changes in interlaboratory agreement (i.e., accuracy) over time. A flow cytometer (single-platform technology, SPT) or a flow cytometer/hematology analyzer (dual-platform technology, DPT) was also examined as a factor for accuracy and precision. The principal finding of this analysis was a significant (p<0.001) increase in accuracy of T-cell subset measurements over time, regardless of technology type (SPT or DPT). Greater precision was found in SPT measurements of all T-cell subset measurements (p<0.001), as well as greater accuracy of SPT on CD3(+)4(+)% and CD3(+)8(+)% assessments (p<0.05 and p<0.001, respectively). However, the interlaboratory random effects variance in DPT results indicates that for some cases DPT can have increased accuracy compared to SPT. Overall, these findings demonstrate that proficiency in and among IQA laboratories have, in general, improved over time and that platform type differences in performance do exist.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Flow cytometry; IQA; Longitudinal analysis; Lymphocyte subset phenotyping; Mixed effects models; Proficiency testing

Mesh:

Substances:

Year:  2014        PMID: 24911327      PMCID: PMC4148146          DOI: 10.1016/j.jim.2014.05.017

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  5 in total

1.  Guideline for flow cytometric immunophenotyping: a report from the National Institute of Allergy and Infectious Diseases, Division of AIDS.

Authors:  T Calvelli; T N Denny; H Paxton; R Gelman; J Kagan
Journal:  Cytometry       Date:  1993-10

2.  NIAID Division of AIDS flow cytometry quality assessment program.

Authors:  J Kagan; R Gelman; M Waxdal; P Kidd
Journal:  Ann N Y Acad Sci       Date:  1993-03-20       Impact factor: 5.691

3.  Comparison of interlaboratory variation in absolute T-cell counts by single-platform and optimized dual-platform methods.

Authors:  Lance E Hultin; Marianne Chow; Beth D Jamieson; Maurice R G O'Gorman; Frederick A Menendez; Luann Borowski; Thomas N Denny; Joseph B Margolick
Journal:  Cytometry B Clin Cytom       Date:  2010-05       Impact factor: 3.058

4.  Comparison of T and B cell analyses on fresh and aged blood.

Authors:  J K Nicholson; B M Jones; G D Cross; J S McDougal
Journal:  J Immunol Methods       Date:  1984-10-12       Impact factor: 2.303

5.  Comparison of methodological data measurement limits in CD4⁺ T lymphocyte flow cytometric enumeration and their clinical impact on HIV management.

Authors:  Liam Whitby; Alison Whitby; Matthew Fletcher; Matthew Helbert; John T Reilly; David Barnett
Journal:  Cytometry B Clin Cytom       Date:  2013-04-23       Impact factor: 3.058

  5 in total
  8 in total

1.  Laboratory Accuracy Improvement in the UK NEQAS Leucocyte Immunophenotyping Immune Monitoring Program: An Eleven-Year Review via Longitudinal Mixed Effects Modeling.

Authors:  John Bainbridge; Wes Rountree; Raul Louzao; John Wong; Liam Whitby; Thomas N Denny; David Barnett
Journal:  Cytometry B Clin Cytom       Date:  2017-05-16       Impact factor: 3.058

2.  Biorepository best practices for research and clinical investigations.

Authors:  Micheline Sanderson-November; Sylvia Silver; Vanessa Hooker; Monika Schmelz
Journal:  Contemp Clin Trials       Date:  2021-09-25       Impact factor: 2.261

3.  A Brief Chronicle of CD4 as a Biomarker for HIV/AIDS: A Tribute to the Memory of John L. Fahey.

Authors:  Jonathan M Kagan; Ana M Sanchez; Alan Landay; Thomas N Denny
Journal:  For Immunopathol Dis Therap       Date:  2015

4.  Introduction to a Special Issue of the Journal of Immunological Methods: Building global resource programs to support HIV/AIDS clinical trial studies.

Authors:  Ana M Sanchez; Thomas N Denny; Maurice O'Gorman
Journal:  J Immunol Methods       Date:  2014-06-06       Impact factor: 2.303

5.  Exploring the feasibility of multi-site flow cytometric processing of gut associated lymphoid tissue with centralized data analysis for multi-site clinical trials.

Authors:  Ian McGowan; Peter A Anton; Julie Elliott; Ross D Cranston; Kathryn Duffill; Andrew D Althouse; Kevin L Hawkins; Stephen C De Rosa
Journal:  PLoS One       Date:  2015-05-26       Impact factor: 3.240

6.  Quantification of cells with specific phenotypes I: determination of CD4+ cell count per microliter in reconstituted lyophilized human PBMC prelabeled with anti-CD4 FITC antibody.

Authors:  Richard Stebbings; Lili Wang; Janet Sutherland; Martin Kammel; Adolfas K Gaigalas; Manuela John; Bodo Roemer; Maren Kuhne; Rudolf J Schneider; Michael Braun; Andrea Engel; Dinesh K Dikshit; Fatima Abbasi; Gerald E Marti; Maria Paola Sassi; Laura Revel; Sook-Kyung Kim; Marc-Olivier Baradez; Tamara Lekishvili; Damian Marshall; Liam Whitby; Wang Jing; Volker Ost; Maxim Vonsky; Jörg Neukammer
Journal:  Cytometry A       Date:  2015-02-05       Impact factor: 4.355

Review 7.  A Critical Review on the Standardization and Quality Assessment of Nonfunctional Laboratory Tests Frequently Used to Identify Inborn Errors of Immunity.

Authors:  Sandro Félix Perazzio; Patricia Palmeira; Dewton Moraes-Vasconcelos; Andréia Rangel-Santos; João Bosco de Oliveira; Luis Eduardo Coelho Andrade; Magda Carneiro-Sampaio
Journal:  Front Immunol       Date:  2021-11-09       Impact factor: 7.561

8.  Recurrent respiratory tract infections in children - analysis of immunological examinations.

Authors:  Agata Raniszewska; Elżbieta Górska; Iwona Kotuła; Anna Stelmaszczyk-Emmel; Katarzyna Popko; Olga Ciepiela
Journal:  Cent Eur J Immunol       Date:  2015-08-03       Impact factor: 2.085

  8 in total

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