AI Article Synopsis

  • Plasma HIV-1 RNA levels, used for patient management, are affected by measurement errors stemming from both physiological factors and assay variability.
  • The study evaluated the measurement error of two HIV-1 assays (COBAS Ampliprep and Taqman) in treatment-naïve patients during their first six months of treatment, focusing on low pVL values near the limits of detection.
  • Results showed that measurement error was consistent across assays, but there was significantly higher random noise in pVL measurements ≤250 copies/mL, indicating potential challenges for clinical decision-making when interpreting these low values.

Article Abstract

Background: Plasma HIV-1 RNA levels (pVLs), routinely used for clinical management, are influenced by measurement error (ME) due to physiologic and assay variation.

Objective: To assess the ME of the COBAS HIV-1 Ampliprep AMPLICOR MONITOR ultrasensitive assay version 1.5 and the COBAS Ampliprep Taqman HIV-1 assay versions 1.0 and 2.0 close to their lower limit of detection. Secondly to examine whether there was any evidence that pVL measurements closest to the lower limit of quantification, where clinical decisions are made, were susceptible to a higher degree of random noise than the remaining range.

Methods: We analysed longitudinal pVL of treatment-naïve patients from British Columbia, Canada, during their first six months on treatment, for time periods when each assay was uniquely available: Period 1 (Amplicor): 08/03/2000-01/02/2008; Period 2 (Taqman v1.0): 07/01/2010-07/03/2012; Period 3 (Taqman v2.0): 08/03/2012-30/06/2014. ME was estimated via generalized additive mixed effects models, adjusting for several clinical and demographic variables and follow-up time.

Results: The ME associated with each assay was approximately 0.5 log10 copies/mL. The number of pVL measurements, at a given pVL value, was not randomly distributed; values ≤250 copies/mL were strongly systematically overrepresented in all assays, with the prevalence decreasing monotonically as the pVL increased. Model residuals for pVL ≤250 copies/mL were approximately three times higher than that for the higher range, and pVL measurements in this range could not be modelled effectively due to considerable random noise of the data.

Conclusions: Although the ME was stable across assays, there is substantial increase in random noise in measuring pVL close to the lower level of detection. These findings have important clinical significance, especially in the range where key clinical decisions are made. Thus, pVL values ≤250 copies/mL should not be taken as the "truth" and repeat pVL measurement is encouraged to confirm viral suppression.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5289538PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0171155PLOS

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