A North American multilaboratory study of CD4 counts using flow cytometric panLeukogating (PLG): a NIAID-DAIDS Immunology Quality Assessment Program Study.

Published

Journal Article

BACKGROUND: The global HIV/AIDS pandemic and guidelines for initiating anti-retroviral therapy (ART) and opportunistic infection prophylaxis demand affordable, reliable, and accurate CD4 testing. A simple innovative approach applicable to existing technology that has been successfully applied in resource-challenged settings, PanLeukogated CD4 (PLG), could offer solutions for cost saving and improved precision. METHODS: Day-old whole blood from 99 HIV+ donors was simultaneously studied in five North-American laboratories to compare the performance of their predicate methods with the dual-platform PLG method. The predicate technology included varying 4-color CD45/CD3/CD4/CD8 protocols on different flow cytometers. Each laboratory also assayed eight replicate specimens of day-old blood from 10 to 14 local donors. Bias and precision of predicate and PLG methods was studied between- and within-participating laboratories. RESULTS: Significantly (P < 0.0001) improved between-laboratory precision/coefficient of variation (CV%) was noted using the PLG method (overall median 9.3% vs. predicate median CV 13.1%). Within-laboratory precision was also significantly (P < 0.0001) better overall using PLG (median 4.6% vs. predicate median CV 6.2%) and in 3 of the 5 laboratories. PLG counts tended to be 11% smaller than predicate methods (P < 0.0001) for shipped (median of predicate-PLG = 31) and local specimens (median of predicate-PLG = 23), both overall and in 4 of 5 laboratories (median decreases of 4, 16, 20, and 21% in shipped specimens); the other laboratory had a median increase of 5%. CONCLUSION: Laboratories using predicate CD4 methods similar to those in this study could improve their between-laboratory and their within-laboratory precision, and reduce costs, by switching to the PLG method after adequate training, if a change (usually, a decrease) in CD4 counts is acceptable to their health systems.

Full Text

Duke Authors

Cited Authors

  • Denny, TN; Gelman, R; Bergeron, M; Landay, A; Lam, L; Louzao, R; Mandy, FF; Schmitz, J; Spira, T; Wilkening, C; Glencross, DK; NIAID-DAIDS Immunology Quality Assessment Program,

Published Date

  • 2008

Published In

Volume / Issue

  • 74 Suppl 1 /

Start / End Page

  • S52 - S64

PubMed ID

  • 18351622

Pubmed Central ID

  • 18351622

Electronic International Standard Serial Number (EISSN)

  • 1552-4957

Digital Object Identifier (DOI)

  • 10.1002/cyto.b.20417

Language

  • eng

Conference Location

  • United States