SARS-CoV-2 antibody characterization in emergency department, hospitalized and convalescent patients by two semi-quantitative immunoassays.


Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 12 05 2020
revised: 28 05 2020
accepted: 03 06 2020
pubmed: 9 6 2020
medline: 1 9 2020
entrez: 8 6 2020
Statut: ppublish

Résumé

In the ongoing COVID-19 pandemic, there is an urgent need for comprehensive performance evaluation and clinical utility assessment of serological assays to understand the immune response to SARS-CoV-2. IgM/IgG and total antibodies against SARS-CoV-2 were measured by a cyclic enhanced fluorescence assay (CEFA) and a microsphere immunoassay (MIA), respectively. Independent performance evaluation included imprecision, reproducibility, specificity and cross-reactivity (CEFA n = 320, MIA n = 364). Clinical utility was evaluated by both methods in 87 patients at initial emergency department visit, 28 during subsequent hospitalizations (106 serial samples), and 145 convalescent patients. Totally 916 patients and 994 samples were evaluated. Agreement of CEFA and MIA was 90.4%-94.5% (Kappa: 0.81-0.89) in 302 samples. CEFA and MIA detected SARS-CoV-2 antibodies in 26.2% and 26.3%, respectively, of ED patients. Detection rates increased over time reaching 100% after 21 days post-symptom onset. Longitudinal antibody kinetic changes by CEFA and MIA measurements correlated well and exhibited three types of seroconversion. Convalescent sera showed a wide range of antibody levels. Rigorously validated CEFA and MIA assays are reliable for detecting antibodies to SARS-CoV-2 and show promising clinical utility when evaluating immune response in hospitalized and convalescent patients, but are not useful for early screening at patient's initial ED visit.

Sections du résumé

BACKGROUND BACKGROUND
In the ongoing COVID-19 pandemic, there is an urgent need for comprehensive performance evaluation and clinical utility assessment of serological assays to understand the immune response to SARS-CoV-2.
METHODS METHODS
IgM/IgG and total antibodies against SARS-CoV-2 were measured by a cyclic enhanced fluorescence assay (CEFA) and a microsphere immunoassay (MIA), respectively. Independent performance evaluation included imprecision, reproducibility, specificity and cross-reactivity (CEFA n = 320, MIA n = 364). Clinical utility was evaluated by both methods in 87 patients at initial emergency department visit, 28 during subsequent hospitalizations (106 serial samples), and 145 convalescent patients. Totally 916 patients and 994 samples were evaluated.
RESULTS RESULTS
Agreement of CEFA and MIA was 90.4%-94.5% (Kappa: 0.81-0.89) in 302 samples. CEFA and MIA detected SARS-CoV-2 antibodies in 26.2% and 26.3%, respectively, of ED patients. Detection rates increased over time reaching 100% after 21 days post-symptom onset. Longitudinal antibody kinetic changes by CEFA and MIA measurements correlated well and exhibited three types of seroconversion. Convalescent sera showed a wide range of antibody levels.
CONCLUSION CONCLUSIONS
Rigorously validated CEFA and MIA assays are reliable for detecting antibodies to SARS-CoV-2 and show promising clinical utility when evaluating immune response in hospitalized and convalescent patients, but are not useful for early screening at patient's initial ED visit.

Identifiants

pubmed: 32505774
pii: S0009-8981(20)30268-0
doi: 10.1016/j.cca.2020.06.004
pmc: PMC7272145
pii:
doi:

Substances chimiques

Antibodies, Viral 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

117-125

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest ZZ received seed instruments and sponsored travel from ET Healthcare. The manufacturers did not review the article and had no input on data analysis prior to the manuscript submission.

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Auteurs

He S Yang (HS)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA.

Sabrina E Racine-Brzostek (SE)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA.

William T Lee (WT)

Diagnostic Immunology Laboratory, Wadsworth Center, New York State Department of Health, Albany, NY, USA.

Danielle Hunt (D)

Diagnostic Immunology Laboratory, Wadsworth Center, New York State Department of Health, Albany, NY, USA.

Jim Yee (J)

New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA.

Zhengming Chen (Z)

Division of Biostatistics and Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.

Jeffrey Kubiak (J)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA.

Miguel Cantu (M)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA.

Layla Hatem (L)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA.

Elaine Zhong (E)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA.

Danielle D'Ambrosio (D)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA.

Amy Chadburn (A)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA.

Lars Westblade (L)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA.

Marshall Glesby (M)

Department of Medicine, New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA.

Massimo Loda (M)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA.

Melissa M Cushing (MM)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA.

Zhen Zhao (Z)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA; New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA. Electronic address: zhz9010@med.cornell.edu.

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Classifications MeSH