Journal
OCCUPATIONAL MEDICINE-OXFORD
Volume 71, Issue 4-5, Pages 215-218Publisher
OXFORD UNIV PRESS
DOI: 10.1093/occmed/kqab061
Keywords
COVID-19; healthcare workers; infection; occupational medicine; SARS-CoV-2; serology
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The study found that symptomatic and older healthcare workers infected with COVID-19 are more likely to have SARS-CoV-2 IgG antibodies, with a higher positivity rate compared to asymptomatic cases. The positivity rate does not decrease over time. Only a history of COVID-19 symptoms and age are identified as independent factors associated with the detection of anti-SARS-CoV-2 IgG antibodies.
Background Healthcare workers (HCWs) accounted for a significant proportion of COVID-19 infections worldwide. Retrospective seroprevalence surveys are often used to screen for unidentified previous infection with SARS-CoV-2. However, the rate of humoral response in HCWs affected by COVID-19 is not well-defined. Aims To assess the specific IgG humoral response in symptomatic and asymptomatic SARS-CoV-2-infected HCWs and identify potential factors associated with humoral response. Methods We prospectively recruited 204 HCWs with RT-PCR-confirmed COVID-19 infection to evaluate SARS-CoV-2 humoral response. Serum-IgG antibodies against SARS-CoV-2 were analysed using two commercially available serological assays. A logistic regression was performed to identify independent factors associated with positive IgG serology test. Results Overall, the SARS-CoV-2 IgG seropositivity rate was 77%. This seropositivity rate was higher in symptomatic than in asymptomatic COVID-19 infection (83% versus 57%; P < 0.001) and in older HCWs.. The seropositivity rate did not diminish with time. In logistic regression, only a history of COVID-19 symptoms and age were identified as independent factors associated with the detection of anti-SARS-CoV-2 IgG antibodies. Conclusions SARS-CoV-2 IgG antibodies are found significantly more frequently in symptomatic and in older HCWs. The fact that not all COVID-19 HCWs develop detectable IgG is vital for the interpretation of COVID-19 seroprevalence surveys.
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