Diagnostic performance of an automated chemiluminescence immunoassay for SARS-CoV-2 IgG and IgM antibodies detection: A real life experience.

Anti-SARS-CoV −2 antibodies Antibody levels Coronavirus infectious disease 2019 (COVID-19) Diagnostic accuracy Serological diagnosis

Journal

Practical laboratory medicine
ISSN: 2352-5517
Titre abrégé: Pract Lab Med
Pays: Netherlands
ID NLM: 101690848

Informations de publication

Date de publication:
May 2021
Historique:
received: 01 05 2020
accepted: 14 04 2021
entrez: 26 4 2021
pubmed: 27 4 2021
medline: 27 4 2021
Statut: ppublish

Résumé

Recently many serological assays for detection of antibodies to SARS-COV-2 virus were introduced on the market. Aim of this study was to assess the diagnostic performance of an automated CLIA for quantitative detection of anti-SARS-CoV-2 IgM and IgG antibodies. A total of 354 sera, 89 from consecutive patients diagnosed with COVID-19 (43 mild, 32 severe and 13 critical) and 265 from asymptomatic and negative on rRT-PCR testing healthcare workers, were evaluated for IgM and IgG anti-SARS-CoV-2 antibodies with MAGLUMI immunoassay. The overall sensitivity and specificity were 86.5% (95%CI: 77.6-92.8) and 98.5% (95%CI:96.2-99.6), respectively. PPV, PPN, LR+, LR- and OR were 95.1 (95%CI: 87.8-98.6), 95.6 (95%CI: 92.4-97.7), 57.3 (95%CI: 21.6-152.1), 7.3 (95%CI: 4.31-12.4) and 418.6 (95%CI: 131.2-1335.2), respectively. The levels of SARS-CoV-2 IgM and IgG antibodies were 1.22 ​± ​1.2 AU/mL and 15.86 ​± ​24.83 AU/mL, 2.86 ​± ​2.4 AU/mL and 69.3 ​± ​55.5 AU/mL, 2.47 ​± ​1.33 AU/mL and 83.9 ​± ​83.9 AU/mL in mild, severe and critical COVID-19 groups, respectively. A significant difference in antibody levels between mild and severe/critical subjects has been shown. The CLIA assay showed good diagnostic performance and a significant association between antibody levels and severity of the disease was found.

Sections du résumé

BACKGROUND BACKGROUND
Recently many serological assays for detection of antibodies to SARS-COV-2 virus were introduced on the market. Aim of this study was to assess the diagnostic performance of an automated CLIA for quantitative detection of anti-SARS-CoV-2 IgM and IgG antibodies.
METHODS METHODS
A total of 354 sera, 89 from consecutive patients diagnosed with COVID-19 (43 mild, 32 severe and 13 critical) and 265 from asymptomatic and negative on rRT-PCR testing healthcare workers, were evaluated for IgM and IgG anti-SARS-CoV-2 antibodies with MAGLUMI immunoassay.
RESULTS RESULTS
The overall sensitivity and specificity were 86.5% (95%CI: 77.6-92.8) and 98.5% (95%CI:96.2-99.6), respectively. PPV, PPN, LR+, LR- and OR were 95.1 (95%CI: 87.8-98.6), 95.6 (95%CI: 92.4-97.7), 57.3 (95%CI: 21.6-152.1), 7.3 (95%CI: 4.31-12.4) and 418.6 (95%CI: 131.2-1335.2), respectively. The levels of SARS-CoV-2 IgM and IgG antibodies were 1.22 ​± ​1.2 AU/mL and 15.86 ​± ​24.83 AU/mL, 2.86 ​± ​2.4 AU/mL and 69.3 ​± ​55.5 AU/mL, 2.47 ​± ​1.33 AU/mL and 83.9 ​± ​83.9 AU/mL in mild, severe and critical COVID-19 groups, respectively. A significant difference in antibody levels between mild and severe/critical subjects has been shown.
CONCLUSIONS CONCLUSIONS
The CLIA assay showed good diagnostic performance and a significant association between antibody levels and severity of the disease was found.

Identifiants

pubmed: 33898690
doi: 10.1016/j.plabm.2021.e00227
pii: S2352-5517(21)00027-5
pmc: PMC8054542
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e00227

Informations de copyright

© 2021 Published by Elsevier B.V.

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Auteurs

Danilo Villalta (D)

Immunologia e Allergologia, Ospedale S.Maria degli Angeli, Pordenone, Italy.

Paola Martelli (P)

Immunologia e Allergologia, Ospedale S.Maria degli Angeli, Pordenone, Italy.

Anna Moratto (A)

Immunologia e Allergologia, Ospedale S.Maria degli Angeli, Pordenone, Italy.

Valeria Salgarolo (V)

Immunologia e Allergologia, Ospedale S.Maria degli Angeli, Pordenone, Italy.

Elita Ligato (E)

Immunologia e Allergologia, Ospedale S.Maria degli Angeli, Pordenone, Italy.

Mariaelisabetta Conte (M)

Immunologia e Allergologia, Ospedale S.Maria degli Angeli, Pordenone, Italy.

Roberto Giacomello (R)

Immunologia e Allergologia, Ospedale S.Maria degli Angeli, Pordenone, Italy.

Tommaso Pellis (T)

Anestesia e Rianimazione, Ospedale S. Maria degli Angeli, Pordenone, Italy.

Rita De Rosa (R)

Microbiologia e Virologia, Ospedale S. Maria degli Angeli, Pordenone, Italy.

Sergio Venturini (S)

Malattie Infettive, Ospedale S. Maria degli Angeli, Pordenone, Italy.

Massimo Crapis (M)

Malattie Infettive, Ospedale S. Maria degli Angeli, Pordenone, Italy.

Classifications MeSH