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10.1016/j.intimp.2021.107884

http://scihub22266oqcxt.onion/10.1016/j.intimp.2021.107884
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suck abstract from ncbi


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pmid34246041      Int+Immunopharmacol 2021 ; 98 (ä): 107884
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  • Seroprevalence of SARS-CoV-2 antibodies among hospital staff in rural Central Fukushima, Japan: A historical cohort study #MMPMID34246041
  • Kobashi Y; Nishikawa Y; Kawamura T; Kodama T; Shimazu Y; Obara D; Zhao T; Tsubokura M
  • Int Immunopharmacol 2021[Sep]; 98 (ä): 107884 PMID34246041show ga
  • Performing a cohort-based SARS-CoV-2 antibody assay is crucial for understanding infection status and future decision-making. The objective of this study was to examine consecutive antibody seroprevalence changes among hospital staff, a high-risk population. A two-time survey was performed in May and October 2020 for 545 hospital staff to investigate the changes in the results of the rapid kit test and chemiluminescence immunoassay (CLIA). The seroprevalence of each assay was summarized at both the survey periods. The proportion of seropositive individuals in the CLIA for each survey period and the number of confirmed COVID-19 cases in Central Fukushima were then compared. We chose 515 participants for the analysis. The proportion of IgM seroprevalence in CLIA increased from 0.19% in May to 0.39% in October, and IgG seroprevalence decreased from 0.97% in May to 0.39% in October. The proportion of IgM seroprevalence in the rapid kit test decreased from 7.96% in May to 3.50% in October, and IgG seroprevalence decreased from 7.77% in May to 2.14% in October. The IgG and IgM antibody seroprevalence among hospital staff in rural Central Fukushima decreased; the seroprevalence among hospital staff was consistent with the number of confirmed COVID-19 cases in the Central Fukushima area. Although it is difficult to interpret the results of the antibody assay in a population with a low prior probability, constant follow-up surveys of antibody titers among hospital staff had several merits in obtaining a set of criteria regarding the accuracy of measures against COVID-19 and estimating the COVID-19 infection status among hospital staff.
  • |*Personnel, Hospital[MESH]
  • |*Rural Health[MESH]
  • |Adult[MESH]
  • |Antibodies, Viral/*blood[MESH]
  • |Antigens, Viral/*immunology[MESH]
  • |Biomarkers/blood[MESH]
  • |COVID-19/diagnosis/*epidemiology/immunology/virology[MESH]
  • |Case-Control Studies[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Immunoglobulin G/*blood[MESH]
  • |Immunoglobulin M/*blood[MESH]
  • |Japan/epidemiology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Population Surveillance[MESH]
  • |SARS-CoV-2/*immunology[MESH]
  • |Seroepidemiologic Studies[MESH]


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