Literature DB >> 34164680

New method of screening for COVID-19 disease using sniffer dogs and scents from axillary sweat samples.

Riad Sarkis1, Anthony Lichaa1, Georges Mjaess1, Michele Saliba2, Carlo Selman1, Clothilde Lecoq-Julien3, Dominique Grandjean3, Nabil M Jabbour4.   

Abstract

BACKGROUND: Early screening for COVID-19 is needed to limit the spread of the virus. The aim of this study is to test if the sniffer dogs can be successfully trained to identify subjects with COVID-19 for 'proof of concept' and 'non-inferiority' against PCR. We are calling this method, Dognosis (DN).
METHODS: Four hundred and fifty-nine subjects were included, 256 (Group 'P') were known cases of COVID-19 (PCR positive, some with and some without symptoms) and 203 (Group 'C') were PCR negative and asymptomatic (control). Samples were obtained from the axillary sweat of each subject in a masked fashion. Two dogs trained to detect specific Volatile Organic Compounds for COVID-19 detection were used to test each sample.
RESULTS: [DN] turned out positive (+) in all the cases that were PCR positive (100% sensitivity). On the other hand, [DN] turned positive (+) in an average of 12.5 cases (6.2%) that were initially PCR negative (apparent specificity of 93.8%). When the PCR was repeated, true specificity was 97.2%. These parameters varied in subgroups from 100% sensitivity and 99% specificity in symptomatic patients to 100% sensitivity and 93% specificity in asymptomatic patients.
CONCLUSION: DN method shows high sensitivity and specificity in screening COVID-19 patients.
© The Author(s) 2021. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  COVID-19; PCR; airport; axillary sweat; sniffer dogs

Mesh:

Year:  2022        PMID: 34164680     DOI: 10.1093/pubmed/fdab215

Source DB:  PubMed          Journal:  J Public Health (Oxf)        ISSN: 1741-3842            Impact factor:   5.058


  2 in total

1.  Detection of Post-COVID-19 Patients Using Medical Scent Detection Dogs-A Pilot Study.

Authors:  Friederike Twele; Nele Alexandra Ten Hagen; Sebastian Meller; Claudia Schulz; Albert Osterhaus; Paula Jendrny; Hans Ebbers; Isabell Pink; Nora Drick; Tobias Welte; Esther Schalke; Holger Andreas Volk
Journal:  Front Med (Lausanne)       Date:  2022-06-16

2.  Diagnostic accuracy of non-invasive detection of SARS-CoV-2 infection by canine olfaction.

Authors:  Dominique Grandjean; Caroline Elie; Capucine Gallet; Clotilde Julien; Vinciane Roger; Loïc Desquilbet; Guillaume Alvergnat; Séverine Delarue; Audrey Gabassi; Marine Minier; Laure Choupeaux; Solen Kerneis; Constance Delaugerre; Jérôme LE Goff; Jean-Marc Treluyer
Journal:  PLoS One       Date:  2022-06-01       Impact factor: 3.752

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.