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A meta-analysis of dynamic change of the SARS-CoV-2 specific antibody IgG positive rate in convalescent patients with COVID-19 in China
Journal of Modern Laboratory Medicine ; 37(6):134-139, 2022.
Article in Chinese | GIM | ID: covidwho-2320568
ABSTRACT
Objective To investigate the dynamic changes of severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) specific antibody IgG positive rate in coronavirus disease 2019 (COVID-19) survivors in China. Methods the relevant literatures about the positive rate of SARS-COV-2 specific antibody IgG in COVID-19 survivors in China were retrieved from PubMed, Embase, CNKI, Wanfang database and VIP database from December 2019 to February 24, 2022. The quality of the documents were assessed according the revised AHRQ (Agency for Healthcare Research and Quality) statement. Freeman-tukey double arsinusoidal conversion method was used to calculate the positive rate, and StataSE15.0 software was used for statistical analysis. Subgroup analysis was performed according to detection method and fragment, and publication bias was examined by Egger method. Results A total of 12 articles were included, IgG was detected from the first month to the twelfth month after SARS-COV-2 infection, and the total sample size ranged from 74 to 2 907 cases per month. The positive rate was the highest in the second month and the third month, 96.35% (95% CI 93.98%-98.14%) and 97.23% (95% CI 94.47%-99.05%) respectively. The positive rate decreased gradually with time, and reached 73.63% (95% CI 50.31%-91.45%) in the twelfth month. The results of subgroup analysis showed that the heterogeneity between studies with the different detection method and the different detection fragment were significant differences (X2=5.02-39.57, all P < 0.05). Egger method test published bias, and the difference was not statistically significant (t=1.85, P=0.101). Conclusion Most people, one year after infection with SARSCOV- 2, could still detect SARS-COV-2 specific antibody IgG.
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Full text: Available Collection: Databases of international organizations Database: GIM Type of study: Reviews Language: Chinese Journal: Journal of Modern Laboratory Medicine Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: GIM Type of study: Reviews Language: Chinese Journal: Journal of Modern Laboratory Medicine Year: 2022 Document Type: Article