[Correlation and concordance of three HIV viral load techniques available in Colombia]

Patricia Olaya1, Carlos A DíazGranados

  • 1Centro de Análisis Molecular, Bogotá, D.C., Colombia. patolaya@etb.net.co

Insights

Three Human Immunodeficiency Virus (HIV) quantitation technologies show high correlation and concordance. However, observed variability necessitates using the same HIV testing method for serial patient monitoring to ensure accurate clinical decisions.

Area of Science:

  • Virology
  • Clinical Diagnostics
  • Public Health

Background:

  • Accurate Human Immunodeficiency Virus (HIV) viral load quantitation is crucial for patient management and treatment monitoring.
  • Colombia has several commercially available HIV testing technologies, but their comparative performance in the local context is not well-established.

Purpose of the Study:

  • To evaluate and compare the performance of three distinct Human Immunodeficiency Virus (HIV) quantitation technologies available in Colombia.
  • Assess the correlation and concordance among different HIV viral load assays.

Main Methods:

  • Convenience sampling of HIV-positive patient specimens from various regions in Colombia.
  • Quantitation of HIV viral load using three methods: Versant bDNA 3.0 (Bayer), LCx HIV (Abbott), and Amplicor Monitor v1.5 (Roche).
  • Statistical analysis including linear regression for correlation and kappa statistics for concordance, alongside discordance analysis at clinical cut-off points.

Main Results:

  • All three HIV quantitation techniques demonstrated high correlation (R2 > 0.97) and substantial concordance (kappa > 0.7).
  • Despite high correlation, considerable discordance was observed at clinically significant cut-off points (8.8%-15.6%) and for differences exceeding 0.5 logs (19.6%-36.3%).

Conclusions:

  • The evaluated Human Immunodeficiency Virus (HIV) viral load quantitation technologies are generally adequate, exhibiting strong correlation and concordance.
  • Due to observed variability, it is recommended to consistently use the same HIV testing methodology for serial measurements in clinical decision-making to avoid misinterpretation of results.
Abstract

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