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10.1186/s12890-020-01237-0

http://scihub22266oqcxt.onion/10.1186/s12890-020-01237-0
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32727446!7388425!32727446
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suck abstract from ncbi


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pmid32727446      BMC+Pulm+Med 2020 ; 20 (1): 203
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  • SARS-CoV-2 specific serological pattern in healthcare workers of an Italian COVID-19 forefront hospital #MMPMID32727446
  • Sotgiu G; Barassi A; Miozzo M; Saderi L; Piana A; Orfeo N; Colosio C; Felisati G; Davi M; Gerli AG; Centanni S
  • BMC Pulm Med 2020[Jul]; 20 (1): 203 PMID32727446show ga
  • BACKGROUND: COVID-19 is an infectious disease caused by a novel coronavirus (SARS-CoV-2). The immunopathogenesis of the infection is currently unknown. Healthcare workers (HCWs) are at highest risk of infection and disease. Aim of the study was to assess the sero-prevalence of SARS-CoV-2 in an Italian cohort of HCWs exposed to COVID-19 patients. METHODS: A point-of-care lateral flow immunoassay (BioMedomics IgM-IgG Combined Antibody Rapid Test) was adopted to assess the prevalence of IgG and IgM against SARS-CoV-2. It was ethically approved ("Milano Area 1" Ethical Committee prot. n. 2020/ST/057). RESULTS: A total of 202 individuals (median age 45 years; 34.7% males) were retrospectively recruited in an Italian hospital (Milan, Italy). The percentage (95% CI) of recruited individuals with IgM and IgG were 14.4% (9.6-19.2%) and 7.4% (3.8-11.0%), respectively. IgM were more frequently found in males (24.3%), and in individuals aged 20-29 (25.9%) and 60-69 (30.4%) years. No relationship was found between exposure to COVID-19 patients and IgM and IgG positivity. CONCLUSIONS: The present study did show a low prevalence of SARS-CoV-2 IgM in Italian HCWs. New studies are needed to assess the prevalence of SARS-CoV-2 antibodies in HCWs exposed to COVID-19 patients, as well the role of neutralizing antibodies.
  • |*Antibodies, Viral/analysis/classification[MESH]
  • |*Clinical Laboratory Techniques/methods/statistics & numerical data[MESH]
  • |*Coronavirus Infections/diagnosis/epidemiology/immunology[MESH]
  • |*Infectious Disease Transmission, Patient-to-Professional/prevention & control/statistics & numerical data[MESH]
  • |*Pandemics[MESH]
  • |*Pneumonia, Viral/diagnosis/epidemiology/immunology[MESH]
  • |Adult[MESH]
  • |Age Factors[MESH]
  • |Aged[MESH]
  • |Betacoronavirus/*immunology/isolation & purification[MESH]
  • |COVID-19[MESH]
  • |COVID-19 Testing[MESH]
  • |Female[MESH]
  • |Health Personnel/*statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Italy/epidemiology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Occupational Exposure/statistics & numerical data[MESH]
  • |SARS-CoV-2[MESH]
  • |Seroepidemiologic Studies[MESH]


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