1. Discriminatory Ability of Gas Chromatography–Ion Mobility Spectrometry to Identify Patients Hospitalized With COVID-19 and Predict Prognosis.
- Author
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Nazareth, 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, and Sahota, Amandip
- Subjects
COVID-19 ,CONTINUOUS positive airway pressure ,RECEIVER operating characteristic curves ,PROGNOSIS ,RESPIRATORY infections - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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