Abstract:
Objectives:The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly spread globally. The laboratory diagnosis of SARS-CoV-2 infection has relied on nucleic acid testing; however, it has some limitations, such as low throughput and high rates of false negatives. Tests of higher sensitivity are needed to effectively identify infected patients. Methods:This study has developed fully automated chemiluminescent immunoassays to determine IgM and IgG antibodies to SARS-CoV-2 in human serum. The assay performance has been evaluated at 10 hospitals. Clinical specificity was evaluated by measuring 972 hospitalized patients and 586 donors of a normal population. Clinical sensitivity was assessed on 513 confirmed cases of SARS-CoV-2 by RT-PCR. Results:The assays demonstrated satisfied assay precision with coefficient of variation of less than 4.45%. Inactivation of specimen did not affect assay measurement. SARS-CoV-2 IgM showed clinical specificity of 97.33 and 99.49% for hospitalized patients and the normal population respectively, and SARS-CoV-2 IgG showed clinical specificity of 97.43 and 99.15% respectively. SARS-CoV-2 IgM showed clinical sensitivity of 82.54, 92.93, and 84.62% before 7 days, 7-14 days, and after 14 days respectively, since onset of symptoms, and SARS-CoV-2 IgG showed clinical sensitivity of 80.95, 97.98, and 99.15% respectively at the same time points above. Conclusions:We have developed fully automated immunoassays for detecting SARS-CoV-2 IgM and IgG antibodies in human serum. The assays demonstrated high clinical specificity and sensitivity, and add great value to nucleic acid testing in fighting against the global pandemic of the SARS-CoV-2 infection.
journal_name
Clin Chem Lab Medjournal_title
Clinical chemistry and laboratory medicineauthors
Qian C,Zhou M,Cheng F,Lin X,Gong Y,Xie X,Li P,Li Z,Zhang P,Liu Z,Hu F,Wang Y,Li Q,Zhu Y,Duan G,Xing Y,Song H,Xu W,Liu BF,Xia Fdoi
10.1515/cclm-2020-0548subject
Has Abstractpub_date
2020-07-15 00:00:00pages
1601-1607issue
9eissn
1434-6621issn
1437-4331pii
/j/cclm.2020.58.issue-9/cclm-2020-0548/cclm-2020-0journal_volume
58pub_type
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