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This is an observational prospective study. The aim is to assess the prevalence of test positivity (swab or serological examination) to Coronavirus Disease-2019 (Covid-19) in relation to the duties and related occupational risk.
Full description
The study protocol provides for a collection of basic data relating to all hospital workers who voluntarily underwent the test (age, sex, type of occupation - doctor / nurse / socio-health / administrative operator; attendance in Covid-19 wards department), IgG outcome (quantitative level) and swab outcome (negative, weakly positive, positive).
The cohort of hospital workers constitutes a population of particular relevance for the development of appropriate strategies for the surveillance of hospital risk for SARS-CoV-2 infection (relationship to the type of job, clinical evolution) and the available data are very limited.
The asymptomatic staff cohort constitutes the ideal population context to contribute to knowledge of aspects of the spread of the virus.
The limitations of current serological tests are well known, which do not allow to distinguish the acute phase of the infection and therefore the persistence of contagiousness. Similarly, the genomic characteristics of the SARS-CoV-2 virus are not known in asymptomatic but swab positive subjects compared to the virus isolated from symptomatic patients.
In the cohort of operators who tested positive for nasopharyngeal swab (both symptomatic and asymptomatic), the availability of serological tests will allow to evaluate the antibody response over time in relation to the clinical evolution of the infection, and the persistence of a protective titer over time.
Methods and study design
The cohort of symptomatic hospital workers who tested positive for the swab includes 250 operators. The cohort will be evaluated as a prospective epidemiological study;
The cohort of asymptomatic / paucisymptomatic operators will include the cohort of operators who will test positive in the serological analysis. From the entire population of hospital workers (over 3000), three controls will be identified for each operator who tested positive for the serological test on the same day and are negative for the serological test. Considering the positive percentage of 5.5% in the serological survey (from the first epidemiological data reported at the ASST of Monza), the positive screening cohort and the control cohort of about 480 are estimated at about 160.
The serological test that will be used is the one required by the indication of the Circular G1.2020.00117959 of 22 April 2020. It is a test with the CLIA method designed to recognize IgG antibodies directed against the S1 and S2 domains of the SARS virus "spike" protein -CoV-2, selected for its ability to provide specificity for SARS-CoV-2 compared to other Coronaviruses.
The product has been designed to meet the need to identify in the population those who have already been infected with the virus, whose diagnosis has not been made through the execution of a swab and a molecular diagnostic test.
The questionnaire will be administered to all operators.
Data anonymization Health worker will be identified with an 8-digit code followed by the letters OS and the year of collection (e.g. 00000001 OS / 2020); in biological sampling the laboratory will identify the patient with the same code and that will be the linkage code between the database and the bio-bank because it is unique for each worker at the ASST in Monza.
Biological studies
The fields of research in the biological field that the protocol aims to pursue are listed below:
Statistic analysis Central tendency and dispersion measures will be used for descriptive analyzes. The percentage of positive subjects (serological and / swab) will be calculated as the number of positive subjects on the total number of participating subjects. The percentage of immune subjects will be calculated as the number of subjects with IgG immunoglobulins out of the total number of participants.These percentages will also be calculated for age and sex groups and for each characteristic considered relevant.
The logistic regression model will be used to identify demographic / social variables of predisposition to positivity.
Enrollment
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Inclusion criteria
Exclusion criteria
Failure to consent to serological screening or failure to consent to study participation (there are two different consent)
260 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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