Comparison of two automated commercial ...
Document type :
Article dans une revue scientifique: Article de synthèse/Review paper
PMID :
Permalink :
Title :
Comparison of two automated commercial assays for routine detection of anti-hepatitis E Virus IgM antibodies in clinical samples
Author(s) :
Becquart, Adrien [Auteur]
Laboratoire de Virologie - ULR 3610 [Laboratoire de Virologie]
Guigon, Aurelie [Auteur]
Laboratoire de Virologie - ULR 3610 [Laboratoire de Virologie]
Regueme, Alexandre [Auteur]
Laboratoire de Virologie - ULR 3610 [Laboratoire de Virologie]
Coulon, Pauline [Auteur]
Laboratoire de Virologie - ULR 3610 [Laboratoire de Virologie]
Bocket, Laurence [Auteur]
Laboratoire de virologie - ULR 3610
Hober, Didier [Auteur]
Laboratoire de Virologie - ULR 3610 [Laboratoire de Virologie]
Alidjinou, Enagnon Kazali [Auteur]
Laboratoire de Virologie - ULR 3610 [Laboratoire de Virologie]
Laboratoire de Virologie - ULR 3610 [Laboratoire de Virologie]
Guigon, Aurelie [Auteur]
Laboratoire de Virologie - ULR 3610 [Laboratoire de Virologie]
Regueme, Alexandre [Auteur]
Laboratoire de Virologie - ULR 3610 [Laboratoire de Virologie]
Coulon, Pauline [Auteur]
Laboratoire de Virologie - ULR 3610 [Laboratoire de Virologie]
Bocket, Laurence [Auteur]
Laboratoire de virologie - ULR 3610
Hober, Didier [Auteur]
Laboratoire de Virologie - ULR 3610 [Laboratoire de Virologie]
Alidjinou, Enagnon Kazali [Auteur]
Laboratoire de Virologie - ULR 3610 [Laboratoire de Virologie]
Journal title :
Diagnostic Microbiology and Infectious Disease
Abbreviated title :
Diagn Microbiol Infect Dis
Volume number :
109
Pages :
116226
Publisher :
Elsevier
Publication date :
2024-02-20
ISSN :
1879-0070
English keyword(s) :
HEV
Diagnosis
IgM antibodies
Automated assays
Diagnosis
IgM antibodies
Automated assays
HAL domain(s) :
Sciences du Vivant [q-bio]
English abstract : [en]
Diagnosis of hepatitis E virus (HEV) infection relies first on detection of IgM antibodies (Ab), sometimes completed with HEV RNA detection. This study aimed to compare the performance of two automated anti-HEV IgM Ab ...
Show more >Diagnosis of hepatitis E virus (HEV) infection relies first on detection of IgM antibodies (Ab), sometimes completed with HEV RNA detection. This study aimed to compare the performance of two automated anti-HEV IgM Ab assays. Correlation between Virclia® (Vircell) and Liaison® (Diasorin) assays was carried out on 178 routine clinical samples. Both assays were run on 67 samples from HEV RT-PCR (Altona) screened patients, and 52 Wantai® EIA (Euroimmun) tested samples. An excellent correlation was observed between both assays with an overall agreement of 96.6% (172/178), and a kappa coefficient at 0.93. In HEV RNA positive group (n=43), IgM detection rate was 93.3% (14/15) in immunocompetent patients, with both assays. In immunocompromised patients, detection rate was 75% (21/28) and 71.4% (20/28) using Virclia® and Liaison XL® assays, respectively. Virclia® and Liaison® anti-HEV IgM assays have similar performance for the detection of anti-HEV IgM Ab.Show less >
Show more >Diagnosis of hepatitis E virus (HEV) infection relies first on detection of IgM antibodies (Ab), sometimes completed with HEV RNA detection. This study aimed to compare the performance of two automated anti-HEV IgM Ab assays. Correlation between Virclia® (Vircell) and Liaison® (Diasorin) assays was carried out on 178 routine clinical samples. Both assays were run on 67 samples from HEV RT-PCR (Altona) screened patients, and 52 Wantai® EIA (Euroimmun) tested samples. An excellent correlation was observed between both assays with an overall agreement of 96.6% (172/178), and a kappa coefficient at 0.93. In HEV RNA positive group (n=43), IgM detection rate was 93.3% (14/15) in immunocompetent patients, with both assays. In immunocompromised patients, detection rate was 75% (21/28) and 71.4% (20/28) using Virclia® and Liaison XL® assays, respectively. Virclia® and Liaison® anti-HEV IgM assays have similar performance for the detection of anti-HEV IgM Ab.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CHU Lille
CHU Lille
Collections :
Submission date :
2024-06-08T21:00:38Z
2024-09-27T09:11:52Z
2024-09-27T09:11:52Z