| Title: | Comparative analysis of chemical breath-prints through olfactory technology for the discrimination between SARS-CoV-2 infected patients and controls |
| Author(s): | Rodriguez-Aguilar M; Diaz de Leon-Martinez L; Zamora-Mendoza BN; Comas-Garcia A; Guerra Palomares SE; Garcia-Sepulveda CA; Alcantara-Quintana LE; Diaz-Barriga F; Flores-Ramirez R; |
| Address: | "Department of Pharmacy, Health Sciences Division, University of Quintana Roo, Quintana Roo, Mexico. Faculty of Medicine-Center for Applied Research on Environment and Health (CIAAS), Autonomous University of San Luis Potosi, Avenida Sierra Leona No. 550, CP 78210, Colonia Lomas Segunda Seccion, San Luis Potosi, SLP, Mexico. Center for Research in Biomedicine and Health Sciences, Faculty of Medicine, Autonomous University of San Luis Potosi, San Luis Potosi, SLP, Mexico. Viral and Human Genomics Laboratory, Faculty of Medicine, Autonomous University of San Luis Potosi, San Luis Potosi, SLP, Mexico. CONACYT Research Fellow, Coordination for Innovation and Application of Science and Technology (CIACYT), Autonomous University of San Luis Potosi, Avenida Sierra Leona No. 550, CP 78210, Colonia Lomas Segunda Seccion, San Luis Potosi, SLP, Mexico. CONACYT Research Fellow, Coordination for Innovation and Application of Science and Technology (CIACYT), Autonomous University of San Luis Potosi, Avenida Sierra Leona No. 550, CP 78210, Colonia Lomas Segunda Seccion, San Luis Potosi, SLP, Mexico. Electronic address: rfloresra@conacyt.mx" |
| DOI: | 10.1016/j.cca.2021.04.015 |
| ISSN/ISBN: | 1873-3492 (Electronic) 0009-8981 (Print) 0009-8981 (Linking) |
| Abstract: | "BACKGROUND: We identified a global chemical pattern of volatile organic compounds in exhaled breath capable of discriminating between COVID-19 patients and controls (without infection) using an electronic nose. METHODS: The study focused on 42 SARS-CoV-2 RT-qPCR positive subjects as well as 42 negative subjects. Principal component analysis indicated a separation of the study groups and provides a cumulative percentage of explanation of the variation of 98.3%. RESULTS: The canonical analysis of principal coordinates model shows a separation by the first canonical axis CAP1 (r(2) = 0.939 and 95.23% of correct classification rate), the cut-off point of 0.0089; 100% sensitivity (CI 95%:91.5-100%) and 97.6% specificity (CI 95%:87.4-99.9%). The predictive model usefulness was tested on 30 open population subjects without prior knowledge of SARS-CoV-2 RT-qPCR status. Of these 3 subjects exhibited COVID-19 suggestive breath profiles, all asymptomatic at the time, two of which were later shown to be SARS-CoV-2 RT-qPCR positive. An additional subject had a borderline breath profile and SARS-CoV-2 RT-qPCR positive. The remaining 27 subjects exhibited healthy breath profiles as well as SARS-CoV-2 RT-qPCR test results. CONCLUSIONS: In all, the use of olfactory technologies in communities with high transmission rates as well as in resource-limited settings where targeted sampling is not viable represents a practical COVID-19 screening approach capable of promptly identifying COVID-19 suspect patients and providing useful epidemiological information to guide community health strategies in the context of COVID-19" |
| Keywords: | *covid-19 Humans Mass Screening *SARS-CoV-2 Sensitivity and Specificity Technology Asymptomatic COVID-19 screening Electronic nose Exhaled breath Volatile organic compounds; |
| Notes: | "MedlineRodriguez-Aguilar, Maribel Diaz de Leon-Martinez, Lorena Zamora-Mendoza, Blanca Nohemi Comas-Garcia, Andreu Guerra Palomares, Sandra Elizabeth Garcia-Sepulveda, Christian Alberto Alcantara-Quintana, Luz Eugenia Diaz-Barriga, Fernando Flores-Ramirez, Rogelio eng Netherlands 2021/04/27 Clin Chim Acta. 2021 Aug; 519:126-132. doi: 10.1016/j.cca.2021.04.015. Epub 2021 Apr 24" |
