Multicenter clinical evaluation of alinity m HBV assay performance.


Journal

Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology
ISSN: 1873-5967
Titre abrégé: J Clin Virol
Pays: Netherlands
ID NLM: 9815671

Informations de publication

Date de publication:
08 2020
Historique:
received: 09 03 2020
revised: 06 05 2020
accepted: 14 06 2020
pubmed: 21 7 2020
medline: 21 8 2021
entrez: 21 7 2020
Statut: ppublish

Résumé

Accurate molecular methods to detect and quantify hepatitis B virus (HBV) DNA are essential to diagnose chronic infections, guide treatment decisions, assess response to treatment, and determine risk of HBV-related complications. New generations of real-time HBV DNA assay platforms provide results in less than 2-3 h, with continuous loading of specimens and true random-access capability. We examined the clinical performance of the new Alinity m HBV assay, run on the fully automated, continuous, random-access Alinity m platform, to accurately detect and quantify HBV DNA in a large series of patient samples infected with different HBV genotypes frequently encountered in clinical practice. This international, multisite study assessed the precision and reproducibility of the Alinity m HBV assay and compared its performance to four HBV assays currently in clinical use. The Alinity m HBV assay demonstrated linear quantitation of HBV DNA in plasma samples, with high precision (coefficient of variation 4.1 %-8.8 %) and reproducibility. The Alinity m HBV assay showed excellent correlation (correlation coefficients ≥0.947) with comparator HBV assays, with an overall observed bias ranging from -0.07 to 0.17 Log The newly developed real-time PCR-based Alinity m HBV assay is sensitive, reproducible, and accurately quantifies HBV DNA levels from HBsAg-positive patients across the full dynamic range of quantification.

Sections du résumé

BACKGROUND
Accurate molecular methods to detect and quantify hepatitis B virus (HBV) DNA are essential to diagnose chronic infections, guide treatment decisions, assess response to treatment, and determine risk of HBV-related complications. New generations of real-time HBV DNA assay platforms provide results in less than 2-3 h, with continuous loading of specimens and true random-access capability.
OBJECTIVES
We examined the clinical performance of the new Alinity m HBV assay, run on the fully automated, continuous, random-access Alinity m platform, to accurately detect and quantify HBV DNA in a large series of patient samples infected with different HBV genotypes frequently encountered in clinical practice.
STUDY DESIGN
This international, multisite study assessed the precision and reproducibility of the Alinity m HBV assay and compared its performance to four HBV assays currently in clinical use.
RESULTS
The Alinity m HBV assay demonstrated linear quantitation of HBV DNA in plasma samples, with high precision (coefficient of variation 4.1 %-8.8 %) and reproducibility. The Alinity m HBV assay showed excellent correlation (correlation coefficients ≥0.947) with comparator HBV assays, with an overall observed bias ranging from -0.07 to 0.17 Log
CONCLUSIONS
The newly developed real-time PCR-based Alinity m HBV assay is sensitive, reproducible, and accurately quantifies HBV DNA levels from HBsAg-positive patients across the full dynamic range of quantification.

Identifiants

pubmed: 32688328
pii: S1386-6532(20)30256-0
doi: 10.1016/j.jcv.2020.104514
pii:
doi:

Substances chimiques

DNA, Viral 0

Types de publication

Journal Article Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104514

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Sara Bonanzinga (S)

Victorian Infectious Diseases Reference Laboratory, Melbourne, Australia.

Francesco Onelia (F)

Azienda Ospedaliera di Padova, Padua, Italy.

Kathy Jackson (K)

Victorian Infectious Diseases Reference Laboratory, Melbourne, Australia.

Allison Glass (A)

Lancet Laboratories, Johannesburg, South Africa.

Leana Maree (L)

Lancet Laboratories, Johannesburg, South Africa.

Mari Krügel (M)

Lancet Laboratories, Johannesburg, South Africa.

Monia Pacenti (M)

Azienda Ospedaliera di Padova, Padua, Italy.

Rory Gunson (R)

West of Scotland Specialist Virology Centre, Glasgow, United Kingdom.

Emily Goldstein (E)

West of Scotland Specialist Virology Centre, Glasgow, United Kingdom.

Laura Martínez García (LM)

Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) and CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Juan-Carlos Galán (JC)

Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) and CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.

Alba Vilas (A)

Laboratori de Referència de Catalunya, El Prat de Llobregat, Spain.

Robert Ehret (R)

Laboratory Dr. Knechten, Medical Center for HIV and Hepatitis, Aachen, Germany.

Heribert Knechten (H)

Laboratory Dr. Knechten, Medical Center for HIV and Hepatitis, Aachen, Germany.

Gudrun Naeth (G)

Laboratory Dr. Knechten, Medical Center for HIV and Hepatitis, Aachen, Germany.

Patrick Braun (P)

Laboratory Dr. Knechten, Medical Center for HIV and Hepatitis, Aachen, Germany.

Martin Obermeier (M)

Medizinisches Infektiologiezentrum Berlin, Germany.

Natalia Marlowe (N)

Abbott Molecular Inc. Des Plaines, IL, USA.

Michael J Palm (MJ)

Abbott Molecular Inc. Des Plaines, IL, USA.

Karin Pfeifer (K)

Abbott GmbH, Wiesbaden, Germany.

Ajith M Joseph (AM)

Abbott Molecular Inc. Des Plaines, IL, USA.

Jens Dhein (J)

Abbott GmbH, Wiesbaden, Germany.

Birgit Reinhardt (B)

Abbott GmbH, Wiesbaden, Germany.

Danijela Lucic (D)

Abbott Molecular Inc. Des Plaines, IL, USA.

Stéphane Chevaliez (S)

National Reference Center for Viral Hepatitis B, C, and Delta, Department of Virology, Hôpital Henri Mondor, Université Paris-Est, Créteil, France. Electronic address: stephane.chevaliez@aphp.fr.

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Classifications MeSH