In the context of the actual pandemia of the Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which requires a better diagnostic strategy for the management of patients. The study of volatile organic compounds (VOC) detected in exhaled air or in sweat, is an innovative research area for respiratory diseases. The analysis of VOC can be done either by the technique of the mass spectrometry which allows the identification of each VOC in the exhaled air or by the technique of electronic nose, simpler and faster, which provides an idea of the general profile of the VOC without identifying them. The VOC have shown their interest in some situations, such as diagnostic or prognostic tool in patients followed for thoracic tumorous pathology or bronchial or pulmonary vascular diseases. Moreover, it has recently been shown that properly trained dogs would be able to detect an olfactory signature of SARS-CoV-2 infection with a specificity greater than 90%; this olfactory signature corresponds to VOCs detectable by the flair of dogs (Nosaïs-Covid19 study). Validation of the diagnostic value of VOC analyzes by non-invasive and rapid methods (electronic nose analysis or mass spectrometry; detection by the scent of dogs) for the rapid detection and early diagnosis of a SARS-CoV-2 infection warrants the performance of this clinical study.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
192
VOC analysis in exhaled air with e-noses.
VOC analysis in sweat by trained dogs.
VOC analysis in exhaled air with mass spectrometry.
VOC analysis in sweat with mass spectrometry.
Foch hospital
Suresnes, France
RECRUITINGThe first co-objective of this experimental study is to determine if VOCs analyzed by electronic noses are of interest for the diagnosis of an infection by SARS-CoV-2 (COVID-19) infection.
Identification of VOC profiles specific to the SARS-CoV-2 (VOC analysis by electronic noses) on exhalates collected under resting breathing conditions between patients with symptoms suggestive of COVID-19 and SARS-CoV-2 infection confirmed by RT-PCR, those whose infection is ruled out on the basis of the negativity RT-PCR and clinical/radiological data (non-COVID control patients), and those with another symptomatic respiratory viral infection confirmed by positive PCR for viruses other than SARS-CoV-2 other than SARS-CoV-2.
Time frame: 1 day
The second co-objective of this experimental study is to determine if VOCs analyzed by mass spectrometry is of interest for the diagnosis of an infection by SARS-CoV-2 (COVID-19) infection.
Identification of VOC profiles specific to the SARS-CoV-2 (VOC analysis by mass spectrometry) on exhalates collected under resting breathing conditions between patients with symptoms suggestive of COVID and SARS-CoV-2 infection confirmed by RT-PCR, those whose infection is ruled out on the basis of the negativity RT-PCR and clinical/radiological data (non-COVID control patients), and those with another symptomatic respiratory viral infection confirmed by positive PCR for viruses other than SARS-CoV-2 other than SARS-CoV-2.
Time frame: 1 day
Identify the nature of VOCs associated with infection by SARS-CoV-2 by mass spectrometry in exhaled air and in sweat
The equivalences and differences in nature of VOCs associated with infection with SARS-CoV-2 between exhaled air and sweat identified by mass spectrometry.
Time frame: 1 day
Assessment of the specificity and sensitivity of canine olfactory detection of COVs associated with infection by SARS-CoV-2 (COVID-19)
Success rate of dogs trained in detecting COVID-19 from sweat samples taken from participating patients. The status of patients (infected and uninfected with COVID-19 from the result of the PCR) will be compared to the result of the canine olfactory detection of COVID-19 in sweat samples.
Time frame: 1 day
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