Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a new global health threat.
To analyze the effectiveness of the measurement of specific antibodies to SARS-CoV2 (IgM and IgG) for the diagnosis of COVID-19 and to analyze the rate of SARS-CoV2 seroprevalence in the population.
11 relevant studies, published before June 5, 2020, were included in this meta-analysis. These studies were identified by searching the MEDLINE and Scopus databases. The final selected studies were analyzed using STATA version 14. Publication bias was examined using both Egger's test and Funnel plots. Moreover, the I² statistic has been used to evaluate and verify heterogeneity.
The 11 relevant studies selected for the present meta-analysis cover a total of 996 infection cases. According to the results, the average rate of positive cases for IgM (AU/mL) was 2.10 (95% CI: 1.65-2.55; I2=92.2%), and the sensitivity in individuals with positive IgM test was 63% (95% CI: 47-79; I2=94.9%). In addition, the average rate of positive cases for IgG (AU/mL) was 67.44 (95% CI: 28.79-106.09; I2=99.4%), and the sensitivity in individuals with positive IgG test was 79% (95% CI: 67-90; I2=89.5%).
According to this analysis, detection of anti-SARS-CoV-2 IgM and IgG antibodies may assist early detection of SARS-CoV2 infection. Whether antibodies against SARS-CoV-2 confer protective immunity warrants further studies.
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