Performance evaluation of NeuMoDx 96 system for hepatitis B and C viral load.

COBAS AmpliPrep Hepatitis B Hepatitis C NeuMoDx Random access Viral load

Journal

World journal of virology
ISSN: 2220-3249
Titre abrégé: World J Virol
Pays: United States
ID NLM: 101608353

Informations de publication

Date de publication:
25 Sep 2023
Historique:
received: 21 06 2023
revised: 19 07 2023
accepted: 07 08 2023
medline: 16 11 2023
pubmed: 16 11 2023
entrez: 16 11 2023
Statut: ppublish

Résumé

Hepatitis B virus (HBV) and hepatitis C virus (HCV) viral load (VL) estimation is essential for the management of both HBV and HCV infections. Due to a longer turnaround time for VL estimation, many patients drop out from the cascade of care. To achieve the global goals of reducing morbidity and mortality due to HBV/HCV and moving towards their elimination by 2030, molecular diagnostic platforms with faster and random ( To evaluate the performance of the recently launched NeuMoDx 96 random access system with the conventional COBAS Archived once-thawed plasma samples were retrieved and tested on both platforms. Correlation between the assays was determined by linear regression and Bland-Altman analysis. The study included samples from 186 patients, 99 for HBV of which 49 were true infected HBV cases (hepatitis B surface antigen, anti-hepatitis B core antibody, and HBV DNA-positive) and 87 for HCV assay in which 39 were true positives for HCV infection (anti-HCV and HCV RNA-positive). The median VL detected by NeuMoDx for HBV was 2.9 (interquartile range [IQR]: 2.0-4.3) log The overall concordance between both the systems was 100% for both HBV and HCV VL estimation. Moreover, no genotype-specific bias for HBV/HCV VL quantification was seen in both the systems. Our findings reveal that NeuMoDx HBV and HCV quantitative assays have shown overall good clinical performance and provide faster results with 100% sensitivity and specificity compared to the COBAS AmpliPrep/COBAS TaqMan system.

Sections du résumé

BACKGROUND BACKGROUND
Hepatitis B virus (HBV) and hepatitis C virus (HCV) viral load (VL) estimation is essential for the management of both HBV and HCV infections. Due to a longer turnaround time for VL estimation, many patients drop out from the cascade of care. To achieve the global goals of reducing morbidity and mortality due to HBV/HCV and moving towards their elimination by 2030, molecular diagnostic platforms with faster and random (
AIM OBJECTIVE
To evaluate the performance of the recently launched NeuMoDx 96 random access system with the conventional COBAS
METHODS METHODS
Archived once-thawed plasma samples were retrieved and tested on both platforms. Correlation between the assays was determined by linear regression and Bland-Altman analysis. The study included samples from 186 patients, 99 for HBV of which 49 were true infected HBV cases (hepatitis B surface antigen, anti-hepatitis B core antibody, and HBV DNA-positive) and 87 for HCV assay in which 39 were true positives for HCV infection (anti-HCV and HCV RNA-positive).
RESULTS RESULTS
The median VL detected by NeuMoDx for HBV was 2.9 (interquartile range [IQR]: 2.0-4.3) log
CONCLUSION CONCLUSIONS
The overall concordance between both the systems was 100% for both HBV and HCV VL estimation. Moreover, no genotype-specific bias for HBV/HCV VL quantification was seen in both the systems. Our findings reveal that NeuMoDx HBV and HCV quantitative assays have shown overall good clinical performance and provide faster results with 100% sensitivity and specificity compared to the COBAS AmpliPrep/COBAS TaqMan system.

Identifiants

pubmed: 37970568
doi: 10.5501/wjv.v12.i4.233
pmc: PMC10642378
doi:

Types de publication

Journal Article

Langues

eng

Pagination

233-241

Informations de copyright

©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict-of-interest statement: The authors declare having no conflict of interest that pertains to this work.

Références

Best Pract Res Clin Gastroenterol. 2008;22(6):1031-48
pubmed: 19187865
Ann Lab Med. 2017 May;37(3):248-253
pubmed: 28224771
J Infect Dev Ctries. 2020 Oct 31;14(10):1197-1203
pubmed: 33175717
Open Forum Infect Dis. 2017 Nov 17;5(1):ofx252
pubmed: 29354656
J Hepatol. 2015 Aug;63(2):354-63
pubmed: 25795588
J Clin Virol. 2017 Mar;88:46-51
pubmed: 28160728
Pan Afr Med J. 2021 Mar 22;38:294
pubmed: 34178213
Lancet Gastroenterol Hepatol. 2019 Feb;4(2):135-184
pubmed: 30647010
Clin Microbiol Infect. 2021 Nov;27(11):1693.e9-1693.e15
pubmed: 33677082
Asian J Transfus Sci. 2014 Jan;8(1):2-3
pubmed: 24678164
Diagn Microbiol Infect Dis. 2020 Feb;96(2):114946
pubmed: 31771903
Ann Intern Med. 2017 May 02;166(9):637-648
pubmed: 28319996
J Clin Virol. 2017 Jul;92:69-74
pubmed: 28549336
J Clin Virol. 2016 Nov;84:7-11
pubmed: 27636506
Clin Infect Dis. 2018 Oct 30;67(10):1477-1492
pubmed: 30215672
PLoS One. 2014 Oct 14;9(10):e110143
pubmed: 25313681
J Clin Microbiol. 2017 May;55(5):1550-1556
pubmed: 28275079
Acta Gastroenterol Belg. 2005 Jul-Sep;68(3):308-13
pubmed: 16268416
J Clin Virol. 2023 Mar;160:105376
pubmed: 36640531

Auteurs

Gagan Chooramani (G)

Department of Clinical Virology, Institute of Liver & Biliary Sciences, New Delhi 110070, India.

Jasmine Samal (J)

Department of Clinical Virology, Institute of Liver & Biliary Sciences, New Delhi 110070, India.

Nitiksha Rani (N)

Department of Clinical Virology, Institute of Liver & Biliary Sciences, New Delhi 110070, India.

Gaurav Singh (G)

Department of Clinical Virology, Institute of Liver & Biliary Sciences, New Delhi 110070, India.

Reshu Agarwal (R)

Department of Clinical Virology, Institute of Liver & Biliary Sciences, New Delhi 110070, India.

Meenu Bajpai (M)

Department of Transfusion Medicine, Institute of Liver & Biliary Sciences, New Delhi 110070, India.

Manoj Kumar (M)

Department of Hepatology, Institute of Liver and Biliary Sciences, New Delhi 110070, India.

Manya Prasad (M)

Department of Epidemiology and Clinical Research, Institute of Liver and Biliary Sciences, New Delhi 110070, India.

Ekta Gupta (E)

Department of Clinical Virology, Institute of Liver & Biliary Sciences, New Delhi 110070, India. ektagaurisha@gmail.com.

Classifications MeSH