Analysis of adjunctive serological detection to nucleic acid test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection diagnosis.


Journal

International immunopharmacology
ISSN: 1878-1705
Titre abrégé: Int Immunopharmacol
Pays: Netherlands
ID NLM: 100965259

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 30 04 2020
revised: 08 06 2020
accepted: 24 06 2020
pubmed: 4 7 2020
medline: 25 8 2020
entrez: 4 7 2020
Statut: ppublish

Résumé

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused coronavirus disease 2019 (COVID-19) epidemic in China, December 2019. The clinical features and treatment of COVID-19 patients remain largely elusive. However, accurate detection is required for SARS-CoV-2 infection diagnosis. We aimed to evaluate the antibodies-based test and nucleic acid-based test for SARS-CoV-2-infected patients. We retrospectively studied 133 patients diagnosed with SARS-CoV-2 and admitted to Renmin Hospital of Wuhan University, China, from January 23 to March 1, 2020. Demographic data, clinical records, laboratory tests, and outcomes were collected. Data were accessed by SARS-CoV-2 IgM-IgG antibody test and real-time reverse transcriptase PCR (RT-PCR) detection for SARS-CoV-2 nucleic acid in COVID-19 patients. Of 133 COVID-19 patients, there were 44 moderate cases, 52 severe cases, and 37 critical cases with no differences in gender and age among three subgroups. In RT-PCR detection, the positive rate was 65.9%, 71.2%, and 67.6% in moderate, severe, and critical cases, respectively. Whereas the positive rate of IgM/IgG antibody detection in patients was 79.5%/93.2%, 82.7%/100%, and 73.0%/97.3% in moderate, severe, and critical cases, respectively. Moreover, the IgM and IgG antibodies concentrations were also examined with no differences among three subgroups. The IgM-IgG antibody test exhibited a useful adjunct to RT-PCR detection, and improved the accuracy in COVID-19 diagnosis regardless of the severity of illness, which provides an effective complement to the false-negative results from a nucleic acid test for SARS-CoV-2 infection diagnosis after onsets.

Sections du résumé

BACKGROUND BACKGROUND
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused coronavirus disease 2019 (COVID-19) epidemic in China, December 2019. The clinical features and treatment of COVID-19 patients remain largely elusive. However, accurate detection is required for SARS-CoV-2 infection diagnosis. We aimed to evaluate the antibodies-based test and nucleic acid-based test for SARS-CoV-2-infected patients.
METHODS METHODS
We retrospectively studied 133 patients diagnosed with SARS-CoV-2 and admitted to Renmin Hospital of Wuhan University, China, from January 23 to March 1, 2020. Demographic data, clinical records, laboratory tests, and outcomes were collected. Data were accessed by SARS-CoV-2 IgM-IgG antibody test and real-time reverse transcriptase PCR (RT-PCR) detection for SARS-CoV-2 nucleic acid in COVID-19 patients.
RESULTS RESULTS
Of 133 COVID-19 patients, there were 44 moderate cases, 52 severe cases, and 37 critical cases with no differences in gender and age among three subgroups. In RT-PCR detection, the positive rate was 65.9%, 71.2%, and 67.6% in moderate, severe, and critical cases, respectively. Whereas the positive rate of IgM/IgG antibody detection in patients was 79.5%/93.2%, 82.7%/100%, and 73.0%/97.3% in moderate, severe, and critical cases, respectively. Moreover, the IgM and IgG antibodies concentrations were also examined with no differences among three subgroups.
CONCLUSION CONCLUSIONS
The IgM-IgG antibody test exhibited a useful adjunct to RT-PCR detection, and improved the accuracy in COVID-19 diagnosis regardless of the severity of illness, which provides an effective complement to the false-negative results from a nucleic acid test for SARS-CoV-2 infection diagnosis after onsets.

Identifiants

pubmed: 32619956
pii: S1567-5769(20)31369-2
doi: 10.1016/j.intimp.2020.106746
pmc: PMC7318959
pii:
doi:

Substances chimiques

Antibodies, Viral 0
COVID-19 Vaccines 0
Covid-19 aAPC vaccine 0
Immunoglobulin G 0
Immunoglobulin M 0
RNA, Viral 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106746

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Rui Liu (R)

Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan 430060, PR China.

Xinghui Liu (X)

Department of Clinical Laboratory, Shanghai Gongli Hospital, the Second Military Medical University, Pudong New Area, Shanghai 200135, PR China.

Li Yuan (L)

Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, PR China.

Huan Han (H)

Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan 430060, PR China.

Muhammad Adnan Shereen (MA)

State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, PR China.

Jiesheng Zhen (J)

Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan 430060, PR China.

Zhili Niu (Z)

Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan 430060, PR China.

Dong Li (D)

Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan 430060, PR China.

Fang Liu (F)

State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, PR China; Wuhan Institute of Biotechnology, Wuhan 430075, PR China.

Kailang Wu (K)

State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, PR China.

Zhen Luo (Z)

Guangdong Provincial Key Laboratory of Virology, Institute of Medical Microbiology, Jinan University, Guangzhou 510632, PR China. Electronic address: zhluo18@jnu.edu.cn.

Chengliang Zhu (C)

Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan 430060, PR China. Electronic address: xinchengzhu@163.com.

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Classifications MeSH