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Since the start of 2020, the new SARS-CoV-2 coronavirus is causing a real global health crisis.
In France, nasopharyngeal swabs are used to obtain the sample needed for respiratory infection screening. There are three major difficulties with this type of sampling:
I) It is really unpleasant for the patient because the device has to be pushed into the nostril to reach the nasopharynx. It causes some patients to bleed or even feel uncomfortable.
II) It is not easily accepted by children. III) It is dependent on the availability of swabs. Faced with these difficulties linked to the initial sampling, new methods are being studied to enable a rapid and non-invasive diagnosis of COVID-19 based on the instantaneous identification of metabolites or volatile organic compounds (VOCs).
Due to their sensitivity and the wealth of information that can be provided, the most promising techniques are based on mass spectrometry coupled with a soft ionisation system. For example, on-line exhaled air analysis is capable of detecting a very large number of VOCs. Various tests on metabolites in the exhaled air have already been carried out without being totally conclusive because the existing instruments suffer from various limitations:
I) poor repeatability/accuracy in the chemical characterisation of exhaled air ; II) too high specificity (detection of only part of the emitted compounds); III) too limited sensitivity; IV) and poor adaptation to be deployed in a clinic.
In order to overcome these various limitations, we propose the use of a new generation of mass spectrometer: Vocus PTR-TOF. The Vocus PTR-TOF is a Proton Transfer Mass Spectrometer (PTR-MS) developed for the detection, in real time, of trace VOCs in industrial environments, laboratories or directly in the environment. This new generation of instrument offers the following advantages:
I) unequalled sensitivity :
II) a robust ionisation system not affected by environmental conditions (relative humidity...) ; III) a high mass resolution allowing precise identification of compounds ; IV) a compact and durable architecture allowing deployment in a constrained environment such as hospital, airport… The sensitivity and speed of measurement allow the expiration process to be monitored in real time, bringing an additional dimension to the measurement and the chances of success.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Outpatients without hospitalisation criteria | Experimental | Symptomatic and asymptomatic outpatient without hospitalisation criteria presenting in a COVID-19 screening centre of the Hospices Civils de Lyon |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Performance evaluation (sensitivity and specificity) for COVID-19 diagnosis of the Vocus PTR-TOF process | Diagnostic Test | Each patient will be sampled to do a systematic respiratory virus infection screening (SARS-CoV-2 and Flu and RSV). Then each patient will be tested using the Vocus PTR-TOF process. A self-answering questionnaire will be used to collect symptomatology information and date of onset of symptoms. |
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity of the COVID-19 diagnostic using the Vocus PTR-TOF process. | Study of the sensitivity of the exhaled air test in comparison to the reference diagnostic RT-PCR on nasopharyngeal swab. We will use the results of the RT-PCR as reference to compare the results of the Vocus PTR-TOF process. | At the inclusion visit |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Centre de prélèvement COVID-19 HCL et Métropole de Lyon | Lyon | 69000 | France |
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| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| D005215 | Fasting |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
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| ID | Term |
|---|---|
| D012680 | Sensitivity and Specificity |
| ID | Term |
|---|---|
| D015340 | Epidemiologic Research Design |
| D004812 | Epidemiologic Methods |
| D008919 | Investigative Techniques |
| D013223 | Statistics as Topic |
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|
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D005247 | Feeding Behavior |
| D001519 | Behavior |
| D055641 | Mathematical Concepts |
| D017531 | Health Care Evaluation Mechanisms |
| D011787 | Quality of Health Care |
| D017530 | Health Care Quality, Access, and Evaluation |
| D011634 | Public Health |
| D004778 | Environment and Public Health |