Since the start of this epidemic, numerous clinical and fundamental studies have been conducted to best adapt the individual management of COVID-19 cases \[1-6\]. In parallel with this work, it is necessary to better understand the characteristics of the epidemic in the general population but also in the population working in healthcare settings more exposed to SARS-CoV-2. Seroprevalence studies are therefore particularly useful in order to understand the collective immunization rate and the factors that can explain this immunization.
The first cases of the new coronavirus disease 2019 (COVID-19) due to the SARS-CoV-2 virus were reported in December 2019 in Wuhan, China. Since that date, a significant circulation of the virus around the world has been observed, justifying that WHO described the situation as pandemic on March 11. Since the start of this epidemic, numerous clinical and fundamental studies have been conducted to best adapt the individual management of COVID-19 cases. In parallel with this work, it is necessary to better understand the characteristics of the epidemic in the general population but also in the population working in healthcare settings more exposed to SARS-CoV-2. Seroprevalence studies are therefore particularly useful in order to understand the collective immunization rate and the factors that can explain this immunization. In the general population, only one recent study in France, in the Oise, one of the first clusters in France, reports a seroconversion rate of 35% in the area concerned \[7\]. This study used three different tests (ELISA, S-FLOW, LIPS assays) to define seroconversion (people were considered positive if at least one of the tests reported the presence of Anti SARS CoV 2 Antibodies). The proportion of people infected in Brittany, estimated by modeling work, would be 1.8% \[1.1% -3.3%\]. At the present time, no data exist to our knowledge on the seroprevalence of anti SARS-CoV-2 antibodies in healthcare populations. Many serological tests are currently being validated. The Rennes University Hospital, thanks to the support of the NOMINOE fund, will offer all employees of the territory hospital group (GHT) Haute-Bretagne to participate in this seroprevalence study using the serological test from the company NG-Biotech. It is a device of the type "rapid serological diagnostic orientation test (TROD)" which can be carried out outside medical biology laboratories by a doctor / pharmacist who is not a biologist or a nurse. This test provides a result in about fifteen minutes. The NG-Biotech test has a CE / IVD mark (pending opinion from the Institut Pasteur). An assessment of the sensitivity and specificity of the test was carried out at the CHU Kremlin Bicêtre and CHU Paul Brousse. From a sample of 101 COVID-19 patients (diagnosed by RT-PCR on nasopharyngeal or pulmonary samples) and 50 negative controls (30 pre-pandemic sera from September and October 2017 and 20 sera from patients tested COVID- 19 negative by RT-PCR without any symptoms for more than 15 days) a sensitivity of 97% \[88.7% - 99.4%\] and a specificity of 100% \[91.1% -100%\] were obtained 15 days after the first signs of COVID-19 patients. If the validity of the test is very good in this study, its main limitation is that it was carried out with a group of COVID-19 patients who were in the vast majority hospitalized (84% of patients) and therefore not representative of pauci or asymptomatic patients . Consequently, given the absence of consolidated data on the immune response based on clinical pictures, it is relevant to continue validation in a population of employees in which we wish to carry out this seroprevalence study and where the majority of infections did not lead to hospitalization. In addition, it is also necessary to obtain other data, in particular concerning the inter-observer reproducibility of the test which has not yet been studied. The need to validate the test in pauci or asymptomatic populations and to obtain reproducibility data was underlined in the opinion of the HAS on the methods for evaluating the performance of serological tests detecting antibodies directed against SARS-CoV -2.
rapid diagnosis Covid 19
sample
behavioral survey
CENTRE HOSPITALIER de VITRE_ Saint Jean (La Guerche)
La Guerche-de-Bretagne, La Guerche-de-Bretagne, France
Centre Hospitalier de Fougeres
Fougères, France
Centre Hospitalier Grand Fougeray
Grand-Fougeray, France
Centre Hospitalier de La Roche Aux Fees
rate of presence of anti-SARS-CoV-2 antibodies (Ig G _ Ig M) among employees working in a GHT Haute Bretagne health establishment.
Rate of presence
Time frame: at inclusion visit
a) Validation of the Biotech NG test:
Sensitivity
Time frame: at inclusion visit
a) Validation of the Biotech NG test:
Specificity
Time frame: at inclusion visit
a) Validation of the Biotech NG test: Agreement between observers (kappa coefficient) for IgG
agreement between observers (kappa coefficient)
Time frame: at inclusion visit
a) Validation of the Biotech NG test: Agreement between observers (kappa coefficient) for IgM.
agreement between observers (kappa coefficient)
Time frame: at inclusion visit
b) Risk of presence of anti SARS-CoV-2 antibodies in function:
Demographic characteristics (age, sex)
Time frame: At inclusion visit
b) Risk of presence of anti SARS-CoV-2 antibodies in function:
\- Professional characteristics (establishment, profession, service).
Time frame: At inclusion visit
b) Risk of presence of anti SARS-CoV-2 antibodies in function:
\- Management of confirmed or probable COVID-19 patients
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Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Enrollment
9,453
Janzé, France
Centre Hospitalier Montfort-Sur-Meu
Montfort-sur-Meu, France
Centre Hospitalier de Redon Carentoir
Redon, France
Chu Rennes
Rennes, France
Centre Hospitalier St Meen Le Grand
Saint-Méen-le-Grand, France
CENTRE HOSPITALIER VITRE_Simone Veil
Vitré, France
Time frame: At inclusion visit
b) Risk of presence of anti SARS-CoV-2 antibodies in function:
\- From contact with confirmed or probable COVID-19 professionals.
Time frame: At inclusion visit
b) Risk of presence of anti SARS-CoV-2 antibodies in function:
\- From contact in his personal circle with COVID-19 confirmed or probable persons.
Time frame: At inclusion visit
b) Risk of presence of anti SARS-CoV-2 antibodies in function:
\- Episodes of symptoms suggestive of COVID-19
Time frame: At inclusion visit
b) Risk of presence of anti SARS-CoV-2 antibodies in function:
\- The existence of a chronic immunomodulatory pathology
Time frame: At inclusion visit
b) Risk of presence of anti SARS-CoV-2 antibodies in function:
\- The existence of smoking
Time frame: At inclusion visit
c) Risk of presence of anti SARS-CoV-2 antibodies in function:
\- The use of materials adapted to good hygiene practices
Time frame: At inclusion visit
c) Risk of presence of anti SARS-CoV-2 antibodies in function:
\- Service organization
Time frame: At inclusion visit
d) Description of the experience and behavioral changes related to the epidemic,
depending on the work sector (COVID dedicated or not) and depending on the profession: \- Rate of employees who changed their tobacco consumption
Time frame: at Day 0
d) Description of the experience and behavioral changes related to the epidemic,
depending on the work sector (COVID dedicated or not) and depending on the profession: \- Description of the reasons for modifying tobacco consumption
Time frame: at Day 0
d) Description of the experience and behavioral changes related to the epidemic,
depending on the work sector (COVID dedicated or not) and depending on the profession: \- Rate of employees who changed their alcohol consumption
Time frame: at Day 0
d) Description of the experience and behavioral changes related to the epidemic,
depending on the work sector (COVID dedicated or not) and depending on the profession: \- Description of the reasons for modification of alcohol consumption
Time frame: at Day 0
d) Description of the experience and behavioral changes related to the epidemic,
depending on the work sector (COVID dedicated or not) and depending on the profession: \- Rate of employees who have changed their eating habits
Time frame: at Day 0
d) Description of the experience and behavioral changes related to the epidemic,
depending on the work sector (COVID dedicated or not) and depending on the profession: \- Description of sleep changes
Time frame: at Day 0
d) Description of the experience and behavioral changes related to the epidemic,
depending on the work sector (COVID dedicated or not) and depending on the profession: \- Description of lived experience and perceived stress
Time frame: at Day 0
e) Evolution of seroprevalence over time:
For employees identified as COVID "certain or probable" \* Percentage of employees with antibodies (IgG and IgM) against SARS CoV-2 on D30 and D90.
Time frame: At Day30
e) Evolution of seroprevalence over time:
For employees identified as COVID "certain or probable" \* Evolution of the kinetics of antibodies (IgG and IgM) against SARS CoV-2 on D30 and D90.
Time frame: At Day 90
e) Evolution of seroprevalence over time:
For the random sample of employees with follow-up on D90: Percentage of employees with antibodies (IgG and IgM) against SARS CoV-2
Time frame: At Day 90