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Open Forum Infect Dis

Title:		Discriminatory Ability of Gas Chromatography-Ion Mobility Spectrometry to Identify Patients Hospitalized With COVID-19 and Predict Prognosis
Author(s):		Nazareth J; Pan D; Kim JW; Leach J; Brosnan JG; Ahmed A; Brodrick E; Bird P; Wicaksono A; Daulton E; Tang JW; Williams C; Haldar P; Covington JA; Pareek M; Sahota A;
Address:		"Department of Respiratory Sciences, University of Leicester, Leicester, United Kingdom. Department of Infectious Diseases and HIV Medicine, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom. Respiratory Biomedical Research Centre, University of Leicester, Leicester, United Kingdom. University of Leicester Medical School, Leicester, United Kingdom. IMSPEX Diagnostics Ltd, Abercynon, United Kingdom. Department of Clinical Microbiology, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom. School of Engineering, University of Warwick, Coventry, United Kingdom"
Journal Title:		Open Forum Infect Dis
Year:		2022
Volume:		20221001
Issue:		11
Page Number:		ofac509 -
DOI:		10.1093/ofid/ofac509
ISSN/ISBN:		2328-8957 (Print) 2328-8957 (Electronic) 2328-8957 (Linking)
Abstract:		"BACKGROUND: Rapid diagnostic and prognostic tests for coronavirus disease (COVID-19) are urgently required. We aimed to evaluate the diagnostic and prognostic ability of breath analysis using gas chromatography-ion mobility spectrometry (GC-IMS) in hospitalized patients with COVID-19. METHODS: Between February and May 2021, we took 1 breath sample for analysis using GC-IMS from participants who were admitted to the hospital for COVID-19, participants who were admitted to the hospital for other respiratory infections, and symptom-free controls, at the University Hospitals of Leicester NHS Trust, United Kingdom. Demographic, clinical, and radiological data, including requirement for continuous positive airway pressure (CPAP) ventilation as a marker for severe disease in the COVID-19 group, were collected. RESULTS: A total of 113 participants were recruited into the study. Seventy-two (64%) were diagnosed with COVID-19, 20 (18%) were diagnosed with another respiratory infection, and 21 (19%) were healthy controls. Differentiation between participants with COVID-19 and those with other respiratory tract infections with GC-IMS was highly accurate (sensitivity/specificity, 0.80/0.88; area under the receiver operating characteristics curve [AUROC], 0.85; 95% CI, 0.74-0.96). GC-IMS was also moderately accurate at identifying those who subsequently required CPAP (sensitivity/specificity, 0.62/0.80; AUROC, 0.70; 95% CI, 0.53-0.87). CONCLUSIONS: GC-IMS shows promise as both a diagnostic tool and a predictor of prognosis in hospitalized patients with COVID-19 and should be assessed further in larger studies"
Keywords:		Covid-19 diagnosis respiratory virus volatile organic compounds;
Notes:		"PubMed-not-MEDLINENazareth, Joshua Pan, Daniel Kim, Jee Whang Leach, Jack Brosnan, James G Ahmed, Adam Brodrick, Emma Bird, Paul Wicaksono, Alfian Daulton, Emma Tang, Julian W Williams, Caroline Haldar, Pranabashis Covington, James A Pareek, Manish Sahota, Amandip eng 2022/11/09 Open Forum Infect Dis. 2022 Oct 1; 9(11):ofac509. doi: 10.1093/ofid/ofac509. eCollection 2022 Nov"