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Blood Transfus ; 19(3): 181-189, 2021 05.
Article in English | MEDLINE | ID: covidwho-1067611

ABSTRACT

BACKGROUND: The Milan metropolitan area in Northern Italy was among the most severely hit by the SARS-CoV-2 outbreak. The aim of this study was to examine the seroprevalence trends of SARS-CoV-2 in healthy asymptomatic adults, and the risk factors and laboratory correlates of positive tests. MATERIALS AND METHODS: We conducted a cross-sectional study in a random sample of blood donors, who were asymptomatic at the time of evaluation, at the beginning of the first phase (February 24th to April 8th 2020; n=789). Presence of IgM/IgG antibodies against the SARS-CoV-2-Nucleocapsid protein was assessed by a lateral flow immunoassay. RESULTS: The test had a 100/98.3 sensitivity/specificity (n=32/120 positive/negative controls, respectively), and the IgG test was validated in a subset by an independent ELISA against the Spike protein (n=34, p<0.001). At the start of the outbreak, the overall adjusted seroprevalence of SARS-CoV-2 was 2.7% (95% CI: 0.3-6%; p<0.0001 vs 120 historical controls). During the study period, characterised by a gradual implementation of social distancing measures, there was a progressive increase in the adjusted seroprevalence to 5.2% (95% CI: 2.4-9.0; 4.5%, 95% CI: 0.9-9.2% according to a Bayesian estimate) due to a rise in IgG reactivity to 5% (95% CI: 2.8-8.2; p=0.004 for trend), but there was no increase in IgM+ (p=not significant). At multivariate logistic regression analysis, IgG reactivity was more frequent in younger individuals (p=0.043), while IgM reactivity was more frequent in individuals aged >45 years (p=0.002). DISCUSSION: SARS-CoV-2 infection was already circulating in Milan at the start of the outbreak. The pattern of IgM/IgG reactivity was influenced by age: IgM was more frequently detected in participants aged >45 years. By the end of April, 2.4-9.0% of healthy adults had evidence of seroconversion.


Subject(s)
Asymptomatic Infections/epidemiology , Blood Donors/statistics & numerical data , COVID-19/epidemiology , Pandemics , SARS-CoV-2/immunology , Adult , Age Factors , Antibodies, Viral/blood , Bayes Theorem , COVID-19/immunology , COVID-19 Serological Testing/methods , Confidence Intervals , Cross-Sectional Studies , Female , Humans , Immunoglobulin G/blood , Immunoglobulin M/blood , Italy/epidemiology , Male , Middle Aged , Regression Analysis , Risk Factors , Seroconversion , Seroepidemiologic Studies , Spike Glycoprotein, Coronavirus/immunology
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