| Literature DB >> 33301539 |
Dominique Grandjean1, Riad Sarkis2, Clothilde Lecoq-Julien1, Aymeric Benard3, Vinciane Roger1, Eric Levesque4, Eric Bernes-Luciani3, Bruno Maestracci3, Pascal Morvan5, Eric Gully6, David Berceau-Falancourt7, Pierre Haufstater8, Gregory Herin9, Joaquin Cabrera1, Quentin Muzzin1, Capucine Gallet1, Hélène Bacqué1, Jean-Marie Broc10, Leo Thomas10, Anthony Lichaa2, Georges Moujaes2, Michele Saliba2, Aurore Kuhn10, Mathilde Galey10, Benoit Berthail10, Lucien Lapeyre4, Anthoni Capelli5, Steevens Renault5, Karim Bachir5, Anthony Kovinger5, Eric Comas6, Aymeric Stainmesse6, Erwan Etienne6, Sébastien Voeltzel6, Sofiane Mansouri6, Marlène Berceau-Falancourt11, Aimé Dami3, Lary Charlet6, Eric Ruau6, Mario Issa2, Carine Grenet12, Christophe Billy13, Jean-Pierre Tourtier4, Loïc Desquilbet1.
Abstract
The aim of this proof-of-concept study was to evaluate if trained dogs could discriminate between sweat samples from symptomatic COVID-19 positive individuals (SARS-CoV-2 PCR positive) and those from asymptomatic COVID-19 negative individuals. The study was conducted at 2 sites (Paris, France, and Beirut, Lebanon), followed the same training and testing protocols, and involved six detection dogs (three explosive detection dogs, one search and rescue dog, and two colon cancer detection dogs). A total of 177 individuals were recruited for the study (95 symptomatic COVID-19 positive and 82 asymptomatic COVID-19 negative individuals) from five hospitals, and one underarm sweat sample per individual was collected. The dog training sessions lasted between one and three weeks. Once trained, the dog had to mark the COVID-19 positive sample randomly placed behind one of three or four olfactory cones (the other cones contained at least one COVID-19 negative sample and between zero and two mocks). During the testing session, a COVID-19 positive sample could be used up to a maximum of three times for one dog. The dog and its handler were both blinded to the COVID-positive sample location. The success rate per dog (i.e., the number of correct indications divided by the number of trials) ranged from 76% to 100%. The lower bound of the 95% confidence interval of the estimated success rate was most of the time higher than the success rate obtained by chance after removing the number of mocks from calculations. These results provide some evidence that detection dogs may be able to discriminate between sweat samples from symptomatic COVID-19 individuals and those from asymptomatic COVID-19 negative individuals. However, due to the limitations of this proof-of-concept study (including using some COVID-19 samples more than once and potential confounding biases), these results must be confirmed in validation studies.Entities:
Year: 2020 PMID： 33301539 DOI： 10.1371/journal.pone.0243122
Source DB: PubMed Journal: PLoS One ISSN： 1932-6203 Impact factor: 3.240