BMC Research Notes (May 2023)

Verification of dried blood spot as a sample type for HIV viral load and early infant diagnosis on Hologic Panther in Zambia

  • Precious Simushi,
  • Mukoshya Nchima Kalunga,
  • Tuku Mwakyoma,
  • Mulenga Mwewa,
  • Lweendo Muchaili,
  • Nchimunya Hazeemba,
  • Chileshe Mulenga,
  • Patience Mwewa,
  • Kaseya O. R. Chiyenu,
  • John Kachimba,
  • Powell Choonga,
  • Aaron Shibemba,
  • Benison M. Hamooya,
  • Mowa Zambwe,
  • Peter J. Chipimo,
  • Lackson Kasonka

DOI
https://doi.org/10.1186/s13104-023-06344-9
Journal volume & issue
Vol. 16, no. 1
pp. 1 – 6

Abstract

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Abstract Objective Zambia has embarked on improving the diagnostic capacity by setting up high throughput and accurate machines in the testing process and introduction of dried blood spot (DBS) as a sample type. This was a cross sectional study to verify dried blood spot as a sample type for HIV viral load and early infant diagnosis (EID) on Hologic Panther platform and Evaluate the analytical performance (precision, linearity and measurement of uncertainty) of the Hologic Panther. Results The specificity and sensitivity of EID performance of Aptima Quant Dx assay on Hologic panther machine against the gold standard machine COBAS Taqman (CAP/CTM) was 100% with an overall agreement of 100%. The quantitative HIV Viral Load (VL) accuracy had a positive correlation of (0.96) obtained against the gold standard (plasma samples) run on COBAS4800 platform. Analytical performance of the Hologic panther machine was evaluated; Precision low positive repeatability 3.50154 and within lab 2.268915 at mean 2.88 concentration and precision high positive repeatability 1.116955 and within lab 2.010677 at mean 5.09 concentration were obtained confirming manufacturers claims. Uncertainty of measurement for this study was found to be ± 71 copies/ml. Linearity studies were determined and all points were within acceptable limits. We therefore recommend DBS as a sample type alternative to plasma for the estimation of HIV-1 viral load and EID diagnosis on the Hologic panther machine.

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