Comparison of 5 flow cytometric immunophenotyping systems for absolute CD4+ T-lymphocyte counts in HIV-1-infected patients living in resource-limited settings

J Acquir Immune Defic Syndr. 2008 Dec 1;49(4):339-47. doi: 10.1097/qai.0b013e31818c1721.

Abstract

Enumeration of CD4+ T lymphocytes is important in management of HIV-infected patients. However, CD4 testing by current gold standard bead-based flow cytometer (FCM) system is expensive for developing countries. This study compared 2 affordable volumetric FCMs with the 3 predicate FCM systems. CD4+ T-lymphocyte counts on blood samples from 150 HIV-1-infected Thai patients were determined in parallel by 5 FCM systems: the 2 single-platform volumetric FCM systems, Guava and CyFlow(green); the 2 standard single-platform bead-based systems (2-color FACSCount and the TriTEST/TruCOUNT tube using a FACSCalibur FCM); and the dual-platform TriTEST system. Correlation and agreement were analyzed using linear regression and Bland-Altman analysis. Results from these 2 volumetric systems gave similar results and excellent correlation: R2 > 0.93; mean biases ranged from +6.3 to +24.1 cells per microliter more for the Guava. In contrast, the CyFlow(green) showed the lowest values with R2 > 0.97; mean biases ranged from -9.8 to -27.6 cells per microliter. This indicates that the absolute CD4+ T-lymphocyte counts determined by CyFlow(green) are < FACSCount < DP TriTEST < TriTEST/TruCOUNT < Guava. Although the use of these 2 volumetric FCMs could make CD4+ T-lymphocyte enumeration more affordable in resource-poor settings, variations among these systems should be considered if these are to be interchanged.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • CD4 Lymphocyte Count / methods*
  • Flow Cytometry / economics
  • Flow Cytometry / instrumentation*
  • HIV Infections / immunology*
  • HIV-1* / immunology
  • Health Care Costs
  • Humans
  • Immunophenotyping / economics
  • Immunophenotyping / instrumentation*
  • Linear Models
  • Poverty
  • Quality Control
  • Reproducibility of Results
  • Sensitivity and Specificity