Recruitment

Recruitment Status
Recruiting
Estimated Enrollment
Same as current

Summary

Conditions
  • COVID-19
  • SARS CoV-2 Infection
Type
Observational
Design
Observational Model: CohortTime Perspective: Cross-Sectional

Participation Requirements

Age
Between 18 years and 125 years
Gender
Both males and females

Description

SARS-CoV-2 infection currently affects more than two million people worldwide and has caused the death of more than 150,000 people. In Lombardia there were 64.000 confirmed positive subjects (64:10,000) and 12,000 dead, with a large number of healthcare workers (HCWs) involved. However, the number o...

SARS-CoV-2 infection currently affects more than two million people worldwide and has caused the death of more than 150,000 people. In Lombardia there were 64.000 confirmed positive subjects (64:10,000) and 12,000 dead, with a large number of healthcare workers (HCWs) involved. However, the number of recovered is starting to rise and, thanks to the containment measures introduced, the number of new cases per day is falling. However, the situation is quite different in other part of Italy; f.i. in Molise, a southern Italy region, there is a much lower incidence of positivity and mortality: 269 confirmed positive (9:10,000) and 16 deaths. To plan the second phase of outbreak management, waiting for the development of a vaccine and valid therapeutic tools, preventive interventions should be revisited based on evidence from the literature and from local epidemiological data. However, although the infection is now worldwide spread, some issues are still not known. The actual number of subjects with an active or past SARS-CoV-2 infection is not known, since the approach used was based on tests performed in severe cases and in their contacts, while few investigations have been carried out on the general population. The impact of the emergency on the health of both HCWs or general population is not yet known. Furthermore, the reasons for the different spread of the infection in the North and South of the country, as well as the different characteristics of the subjects who have or have had the infection with respect to those who have not had it are not yet fully known; moreover, among the positive ones, the characteristics associated with the development of the more serious forms or the absence of symptoms, remain to be elucidated. In fact, the studies conducted so far were large studies that collected few data or were more detailed studies focused only on few hospitalized subjects. It is therefore necessary to conduct new studies on the general population, based on large samples randomly selected from populations at high and low spread of the infection as well as in subgroups at higher risk such as HCWs, and based on a large set of collected data. The aims of this project are: (i) to estimate the real prevalence of the SARS-CoV-2 infection and seroconversion in two populations at high and low risk of infection, in a comparative way, from the territories of ASST Sette Laghi of Varese, Lombardia region (confirmed cases 18:10,000) and a region at lower prevalence of confirmed cases such as the Molise region (confirmed cases 9:10,000 subjects), also focusing on subgroups at higher risk such as healthcare workers (HCWs); (ii) to estimate the rate of burnout and post-traumatic stress disorder in HCWs during the study period; (iii) to identify factors associated with SARS-CoV-2 infection positivity and follow up at mead-term its effect on health. Finally, the investigators will biobank biological samples for future studies, in already available specialized facilities. (i) Cross sectional analysis in the general population Population. Residents in the territories of ASST Sette Laghi and of Molise Region will be randomly selected from the municipal registries, up to reach 3000 recruited subjects invited to participate according to protocols used in previous study. Data collection. All people who accept the invitation at the clinics (ASST Sette Laghi Occupational Medicine in Varese, IRCCS Neuromed in Molise) will be asked to sign the informed consent and a blood sample will be taken for testing of IgM and IgG against SARS-CoV-2 and for storage in the biobank. Laboratory analyses will be performed to assess blood cell count, CRP, glucose and insulin levels. Serum IgM and IgG antibodies will be measured with the most suitable test available at the moment of the recruitment. To each subject an app and a website access will be given to complete questionnaires at the time of recruitment and after 6 months. Statistical analysis. The prevalence of positivity for IgM and IgG antibodies will be calculated and the incidence during the outbreak period will be estimated. An analysis of the differences between the two geographical areas will be performed. (ii) Cross sectional analysis on HCWs Population. All HCWs from the occupational registries of two Clinical Centers (ASST Ospedale di Circolo and IRCCS Neuromed) will be recruited. Data collection. The HCWs who accept the invitation will be asked to sign the informed consent and a blood sample drawn for the assay of SARS-CoV-2 IgM and IgG levels and for storage in the biobank. Laboratory analyses will be performed to assess blood cell count, CRP, glucose and insulin levels, cortisol level. To each subject an app and a website access will be provided to complete questionnaires at the time of recruitment and after 6 months. In particular, they will be asked to fill: (a) Maslach Burnout Inventory (MBI), for the detection of the burnout level; (b) peritraumatic dissociative experiences questionnaire (PTEQ) and Impact of Event Scale (IES), for the detection of symptoms attributable to PTSD; (c) a reduced scale of the General Health Questionnaire (GHQ), to assess the level of psychological distress. Clinical records for SARS-CoV-2 positive participants who were hospitalized for COVID-19 will be collected in the hospital upon informed consent signature. Statistical analysis. The prevalence of positivity to IgM and IgG antibodies will be analyzed as described in paragraph (i). Furthermore, the prevalence and incidence of MBI and PTSD disorders and the associations between the development of conditions and anamnestic, clinical and laboratory factors will be analyzed through multivariable regression analyses. (iii) Identification of factors associated with SARS-CoV-2 infection positivity and follow up at mead-term its effect on health. Development of a computerized application for data collection A dedicated website will be developed to allow the administration, guided by telephone aid, of specific questionnaires. Moreover, a smartphone app will be developed to follow-up participants for phase 2 COVID-19 triage and risk factors changes. Privacy and data safety will be implemented according to Italian law and guaranteed by up to date encryption standards. Questionnaire will address participants' general information (gender, age, biometrics, socio-economic status, current and previous job), lifestyles (dietary habits, smoking status, physical activity), work or leisure travel habits, previous and current diseases, pharmacological history (drugs, vaccinations and supplements), as well as specific data about COVID-19 (if they are or have been affected by the disease or they turned out to be positive to a screening). A follow up questionnaire will evaluate evolution of COVID-19 (for affected people), together with biometrics data, nutrition, physical activity, cardiovascular and neurological disorders, cognitive ability, quality of life, modifications in socio-economic level, stress, resilience. Statistical analysis. The differences in the different variables collected between the sample of the positive subjects and a number of controls paired by sex and age, taken from the Objective 1 population will be calculated as well as the differences between the asymptomatic/paucisymptomatic non-hospitalized positives and all the other positives separated by severity (hospitalized, COVID). The analysis will be carried out through multivariate logistic regression, considering any plausibly associated variables and checking for bias from multiple tests.

Tracking Information

NCT #
NCT04636203
Collaborators
Not Provided
Investigators
Principal Investigator: Licia Iacoviello, MD, PhD IRCCS Neuromed