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Portable Breath-Based Volatile Organic Compound Monitoring for the Detection of COVID-19 During the Circulation of the SARS-CoV-2 Delta Variant and the Transition to the SARS-CoV-2 Omicron Variant

IMPORTANCE: Breath analysis has been explored as a noninvasive means to detect COVID-19. However, the impact of emerging variants of SARS-CoV-2, such as Omicron, on the exhaled breath profile and diagnostic accuracy of breath analysis is unknown. OBJECTIVE: To evaluate the diagnostic accuracies of b...

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Autores principales: Sharma, Ruchi, Zang, Wenzhe, Tabartehfarahani, Ali, Lam, Andres, Huang, Xiaheng, Sivakumar, Anjali Devi, Thota, Chandrakalavathi, Yang, Shuo, Dickson, Robert P., Sjoding, Michael W., Bisco, Erin, Mahmood, Carmen Colmenero, Diaz, Kristen Machado, Sautter, Nicholas, Ansari, Sardar, Ward, Kevin R., Fan, Xudong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975913/
https://www.ncbi.nlm.nih.gov/pubmed/36853606
http://dx.doi.org/10.1001/jamanetworkopen.2023.0982
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author Sharma, Ruchi
Zang, Wenzhe
Tabartehfarahani, Ali
Lam, Andres
Huang, Xiaheng
Sivakumar, Anjali Devi
Thota, Chandrakalavathi
Yang, Shuo
Dickson, Robert P.
Sjoding, Michael W.
Bisco, Erin
Mahmood, Carmen Colmenero
Diaz, Kristen Machado
Sautter, Nicholas
Ansari, Sardar
Ward, Kevin R.
Fan, Xudong
author_facet Sharma, Ruchi
Zang, Wenzhe
Tabartehfarahani, Ali
Lam, Andres
Huang, Xiaheng
Sivakumar, Anjali Devi
Thota, Chandrakalavathi
Yang, Shuo
Dickson, Robert P.
Sjoding, Michael W.
Bisco, Erin
Mahmood, Carmen Colmenero
Diaz, Kristen Machado
Sautter, Nicholas
Ansari, Sardar
Ward, Kevin R.
Fan, Xudong
author_sort Sharma, Ruchi
collection PubMed
description IMPORTANCE: Breath analysis has been explored as a noninvasive means to detect COVID-19. However, the impact of emerging variants of SARS-CoV-2, such as Omicron, on the exhaled breath profile and diagnostic accuracy of breath analysis is unknown. OBJECTIVE: To evaluate the diagnostic accuracies of breath analysis on detecting patients with COVID-19 when the SARS-CoV-2 Delta and Omicron variants were most prevalent. DESIGN, SETTING, AND PARTICIPANTS: This diagnostic study included a cohort of patients who had positive and negative test results for COVID-19 using reverse transcriptase polymerase chain reaction between April 2021 and May 2022, which covers the period when the Delta variant was overtaken by Omicron as the major variant. Patients were enrolled through intensive care units and the emergency department at the University of Michigan Health System. Patient breath was analyzed with portable gas chromatography. MAIN OUTCOMES AND MEASURES: Different sets of VOC biomarkers were identified that distinguished between COVID-19 (SARS-CoV-2 Delta and Omicron variants) and non–COVID-19 illness. RESULTS: Overall, 205 breath samples from 167 adult patients were analyzed. A total of 77 patients (mean [SD] age, 58.5 [16.1] years; 41 [53.2%] male patients; 13 [16.9%] Black and 59 [76.6%] White patients) had COVID-19, and 91 patients (mean [SD] age, 54.3 [17.1] years; 43 [47.3%] male patients; 11 [12.1%] Black and 76 [83.5%] White patients) had non–COVID-19 illness. Several patients were analyzed over multiple days. Among 94 positive samples, 41 samples were from patients in 2021 infected with the Delta or other variants, and 53 samples were from patients in 2022 infected with the Omicron variant, based on the State of Michigan and US Centers for Disease Control and Prevention surveillance data. Four VOC biomarkers were found to distinguish between COVID-19 (Delta and other 2021 variants) and non–COVID-19 illness with an accuracy of 94.7%. However, accuracy dropped substantially to 82.1% when these biomarkers were applied to the Omicron variant. Four new VOC biomarkers were found to distinguish the Omicron variant and non–COVID-19 illness (accuracy, 90.9%). Breath analysis distinguished Omicron from the earlier variants with an accuracy of 91.5% and COVID-19 (all SARS-CoV-2 variants) vs non–COVID-19 illness with 90.2% accuracy. CONCLUSIONS AND RELEVANCE: The findings of this diagnostic study suggest that breath analysis has promise for COVID-19 detection. However, similar to rapid antigen testing, the emergence of new variants poses diagnostic challenges. The results of this study warrant additional evaluation on how to overcome these challenges to use breath analysis to improve the diagnosis and care of patients.
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spelling pubmed-99759132023-03-02 Portable Breath-Based Volatile Organic Compound Monitoring for the Detection of COVID-19 During the Circulation of the SARS-CoV-2 Delta Variant and the Transition to the SARS-CoV-2 Omicron Variant Sharma, Ruchi Zang, Wenzhe Tabartehfarahani, Ali Lam, Andres Huang, Xiaheng Sivakumar, Anjali Devi Thota, Chandrakalavathi Yang, Shuo Dickson, Robert P. Sjoding, Michael W. Bisco, Erin Mahmood, Carmen Colmenero Diaz, Kristen Machado Sautter, Nicholas Ansari, Sardar Ward, Kevin R. Fan, Xudong JAMA Netw Open Original Investigation IMPORTANCE: Breath analysis has been explored as a noninvasive means to detect COVID-19. However, the impact of emerging variants of SARS-CoV-2, such as Omicron, on the exhaled breath profile and diagnostic accuracy of breath analysis is unknown. OBJECTIVE: To evaluate the diagnostic accuracies of breath analysis on detecting patients with COVID-19 when the SARS-CoV-2 Delta and Omicron variants were most prevalent. DESIGN, SETTING, AND PARTICIPANTS: This diagnostic study included a cohort of patients who had positive and negative test results for COVID-19 using reverse transcriptase polymerase chain reaction between April 2021 and May 2022, which covers the period when the Delta variant was overtaken by Omicron as the major variant. Patients were enrolled through intensive care units and the emergency department at the University of Michigan Health System. Patient breath was analyzed with portable gas chromatography. MAIN OUTCOMES AND MEASURES: Different sets of VOC biomarkers were identified that distinguished between COVID-19 (SARS-CoV-2 Delta and Omicron variants) and non–COVID-19 illness. RESULTS: Overall, 205 breath samples from 167 adult patients were analyzed. A total of 77 patients (mean [SD] age, 58.5 [16.1] years; 41 [53.2%] male patients; 13 [16.9%] Black and 59 [76.6%] White patients) had COVID-19, and 91 patients (mean [SD] age, 54.3 [17.1] years; 43 [47.3%] male patients; 11 [12.1%] Black and 76 [83.5%] White patients) had non–COVID-19 illness. Several patients were analyzed over multiple days. Among 94 positive samples, 41 samples were from patients in 2021 infected with the Delta or other variants, and 53 samples were from patients in 2022 infected with the Omicron variant, based on the State of Michigan and US Centers for Disease Control and Prevention surveillance data. Four VOC biomarkers were found to distinguish between COVID-19 (Delta and other 2021 variants) and non–COVID-19 illness with an accuracy of 94.7%. However, accuracy dropped substantially to 82.1% when these biomarkers were applied to the Omicron variant. Four new VOC biomarkers were found to distinguish the Omicron variant and non–COVID-19 illness (accuracy, 90.9%). Breath analysis distinguished Omicron from the earlier variants with an accuracy of 91.5% and COVID-19 (all SARS-CoV-2 variants) vs non–COVID-19 illness with 90.2% accuracy. CONCLUSIONS AND RELEVANCE: The findings of this diagnostic study suggest that breath analysis has promise for COVID-19 detection. However, similar to rapid antigen testing, the emergence of new variants poses diagnostic challenges. The results of this study warrant additional evaluation on how to overcome these challenges to use breath analysis to improve the diagnosis and care of patients. American Medical Association 2023-02-28 /pmc/articles/PMC9975913/ /pubmed/36853606 http://dx.doi.org/10.1001/jamanetworkopen.2023.0982 Text en Copyright 2023 Sharma R et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Sharma, Ruchi
Zang, Wenzhe
Tabartehfarahani, Ali
Lam, Andres
Huang, Xiaheng
Sivakumar, Anjali Devi
Thota, Chandrakalavathi
Yang, Shuo
Dickson, Robert P.
Sjoding, Michael W.
Bisco, Erin
Mahmood, Carmen Colmenero
Diaz, Kristen Machado
Sautter, Nicholas
Ansari, Sardar
Ward, Kevin R.
Fan, Xudong
Portable Breath-Based Volatile Organic Compound Monitoring for the Detection of COVID-19 During the Circulation of the SARS-CoV-2 Delta Variant and the Transition to the SARS-CoV-2 Omicron Variant
title Portable Breath-Based Volatile Organic Compound Monitoring for the Detection of COVID-19 During the Circulation of the SARS-CoV-2 Delta Variant and the Transition to the SARS-CoV-2 Omicron Variant
title_full Portable Breath-Based Volatile Organic Compound Monitoring for the Detection of COVID-19 During the Circulation of the SARS-CoV-2 Delta Variant and the Transition to the SARS-CoV-2 Omicron Variant
title_fullStr Portable Breath-Based Volatile Organic Compound Monitoring for the Detection of COVID-19 During the Circulation of the SARS-CoV-2 Delta Variant and the Transition to the SARS-CoV-2 Omicron Variant
title_full_unstemmed Portable Breath-Based Volatile Organic Compound Monitoring for the Detection of COVID-19 During the Circulation of the SARS-CoV-2 Delta Variant and the Transition to the SARS-CoV-2 Omicron Variant
title_short Portable Breath-Based Volatile Organic Compound Monitoring for the Detection of COVID-19 During the Circulation of the SARS-CoV-2 Delta Variant and the Transition to the SARS-CoV-2 Omicron Variant
title_sort portable breath-based volatile organic compound monitoring for the detection of covid-19 during the circulation of the sars-cov-2 delta variant and the transition to the sars-cov-2 omicron variant
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975913/
https://www.ncbi.nlm.nih.gov/pubmed/36853606
http://dx.doi.org/10.1001/jamanetworkopen.2023.0982
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