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Analytical and clinical evaluation of the Abbott RealTime hepatitis B sequencing assay

  • Hee Jae Huh
  • , Ji Youn Kim
  • , Myoung Keun Lee
  • , Nam Yong Lee
  • , Jong Won Kim
  • , Chang Seok Ki
  • Sungkyunkwan University

Research output: Contribution to journalArticlepeer-review

Abstract

Background Long-term nucleoside analogue (NA) treatment leads to selection for drug-resistant mutations in patients undergoing hepatitis B virus (HBV) therapy. The Abbott RealTime HBV Sequencing assay (Abbott assay; Abbott Molecular Inc., Des Plaines, IL, USA) targets the reverse transcriptase region of the polymerase gene and as such has the ability to detect NA resistance-associated mutations in HBV. Objectives We evaluated the analytical performance of the Abbott assay and compared its diagnostic performance to that of a laboratory-developed nested-PCR and sequencing method. Study design The analytical sensitivity of the Abbott assay was determined using a serially-diluted WHO International Standard. To validate the clinical performances of the Abbott assay and the laboratory-developed assay, 89 clinical plasma samples with various levels of HBV DNA were tested using both assays. Results The limit of detection of the Abbott assay, was 210 IU/ml and it successfully detected mutations when the mutant types were present at levels ≥20%. Among 89 clinical specimens, 43 and 42 were amplification positive in the Abbott and laboratory-developed assays, respectively, with 87.6% overall agreement (78/89; 95% confidence interval [CI], 78.6–93.4). The Abbott assay failed to detect the minor mutant populations in two specimens, and therefore overall concordance was 85.3% (76/89), and the kappa value was 0.79 (95% CI, 0.67–0.90). Conclusions The Abbott assay showed comparable diagnostic performance to laboratory-developed nested PCR followed by direct sequencing, and may be useful as a routine method for detecting HBV NA resistance-associated mutations in clinical laboratory settings.

Original languageEnglish
Pages (from-to)27-30
Number of pages4
JournalJournal of Clinical Virology
Volume85
DOIs
StatePublished - 1 Dec 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Direct sequencing
  • HBV
  • Mutations
  • Nested PCR
  • Resistance

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