Literature DB >> 15800883

A multicenter evaluation of the PanLeucogating method and the use of generic monoclonal antibody reagents for CD4 enumeration in HIV-infected patients in Thailand.

Kovit Pattanapanyasat1, Hla Shain, Egarit Noulsri, Surada Lerdwana, Charin Thepthai, Varipin Prasertsilpa, Sirirat Likanonsakul, Prakit Yothipitak, Somboon Nookhai, Achara Eksaengsri.   

Abstract

BACKGROUND: The current method of CD4 enumeration in Thailand, based on the three-tube, three-color method recommended by the Centers for Disease Control and Prevention, is expensive and thus unavailable to most patients who have the human immunodeficiency virus (HIV). Less expensive, simpler protocols (i.e., PanLeucogating and primary CD4 gating) have been described but require more published validation data to gain widespread acceptance. We describe a multicenter evaluation of the PanLeucogating method.
METHODS: The PanLeucogating method using generic reagents was evaluated in comparison with the standard three-tube, three-color method using commercial reagents. Percentage of CD4+ T cells among lymphocytes and absolute CD4+ T-cell counts were determined in 611 HIV-infected individuals recruited from four sites. Linear regression and Bland-Altman tests were used for statistical analysis.
RESULTS: The correlation of percentage of CD4+ T cells and absolute CD4+ T-cell counts obtained with the PanLeucogating strategy and the standard predicate method was high (r2 = 0.96 and 0.95, respectively, for the entire study population and r2 > 0.95 and 0.93, respectively, for each study group). Absolute CD4+ T-cell counts of the overall study pool and of the two subdivisions of absolute CD4+ T-cell counts (i.e., 0-250 cells/microl and > 250 cells/microl) derived from the two methods demonstrated excellent agreement, with mean biases of +18 cells/microl, +11 cells/microl, and +24 cells/microl, respectively.
CONCLUSIONS: These observations demonstrate that CD4 enumeration by PanLeucogating is reliable and can be performed to an identical standard in a quality-assured network of collaborating laboratories as a new cost-effective approach to HIV monitoring. Copyright 2005 Wiley-Liss, Inc.

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Year:  2005        PMID: 15800883     DOI: 10.1002/cyto.b.20052

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  10 in total

1.  Validation of a single-platform, volumetric, CD45-assisted PanLeucogating Auto40 flow cytometer to determine the absolute number and percentages of CD4 T cells in resource-constrained settings using Cameroonian patients' samples.

Authors:  François-Xavier Mbopi-Kéou; Stefano Mion; Bertrand Sagnia; Laurent Bélec
Journal:  Clin Vaccine Immunol       Date:  2012-02-15

Review 2.  Low-cost assays for monitoring HIV infected individuals in resource-limited settings.

Authors:  Pachamuthu Balakrishnan; Hussain Syed Iqbal; Saravanan Shanmugham; Janardhanan Mohanakrishnan; Sunil S Solomon; Kenneth H Mayer; Suniti Solomon
Journal:  Indian J Med Res       Date:  2011-12       Impact factor: 2.375

3.  Micro-a-fluidics ELISA for rapid CD4 cell count at the point-of-care.

Authors:  ShuQi Wang; Savas Tasoglu; Paul Z Chen; Michael Chen; Ragip Akbas; Sonya Wach; Cenk Ibrahim Ozdemir; Umut Atakan Gurkan; Francoise F Giguel; Daniel R Kuritzkes; Utkan Demirci
Journal:  Sci Rep       Date:  2014-01-22       Impact factor: 4.379

Review 4.  CD4 enumeration technologies: a systematic review of test performance for determining eligibility for antiretroviral therapy.

Authors:  Rosanna W Peeling; Kimberly A Sollis; Sarah Glover; Suzanne M Crowe; Alan L Landay; Ben Cheng; David Barnett; Thomas N Denny; Thomas J Spira; Wendy S Stevens; Siobhan Crowley; Shaffiq Essajee; Marco Vitoria; Nathan Ford
Journal:  PLoS One       Date:  2015-03-19       Impact factor: 3.240

5.  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

6.  Performance verification of the new fully automated Aquios flow cytometer PanLeucogate (PLG) platform for CD4-T-lymphocyte enumeration in South Africa.

Authors:  Lindi-Marie Coetzee; Deborah K Glencross
Journal:  PLoS One       Date:  2017-11-03       Impact factor: 3.240

7.  Assessment of the AQUIOS flow cytometer - An automated sample preparation system for CD4 lymphocyte PanLeucogating enumeration.

Authors:  Daniel Rhodes; Guislaine Carcelain; Mike Keeney; Christophe Parizot; Dominika Benjamins; Laurine Genesta; Jin Zhang; Justin Rohrbach; Denise Lawrie; Deborah K Glencross
Journal:  Afr J Lab Med       Date:  2019-12-05

8.  Single-platform, volumetric, CD45-assisted pan-leucogating flow cytometry for CD4 T lymphocytes monitoring of HIV infection according to the WHO recommendations for resource-constrained settings.

Authors:  Donato Koyalta; Mohammad-Ali Jenabian; Ngamasra Nadjiouroum; Barou Djouater; Noël Djemadji-Oudjeil; Angélique Ndjoyi-Mbiguino; Laurent Bélec
Journal:  BMC Res Notes       Date:  2013-04-30

9.  Field evaluation in Chad of community usage of CD4 T lymphocyte counting by alternative single-platform flow cytometry.

Authors:  Donato Koyalta; Mohammad-Ali Jenabian; Barou Djouater; Noël Djemadji-Oudjeil; Francois-Xavier Mbopi-Keou; Angélique Ndjoyi-Mbiguino; Laurent Bélec
Journal:  BMC Health Serv Res       Date:  2013-10-01       Impact factor: 2.655

10.  Performance Evaluation of the Becton Dickinson FACSPresto™ Near-Patient CD4 Instrument in a Laboratory and Typical Field Clinic Setting in South Africa.

Authors:  Lindi-Marie Coetzee; Keshendree Moodley; Deborah Kim Glencross
Journal:  PLoS One       Date:  2016-05-25       Impact factor: 3.240

  10 in total

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