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In a recent study published on the medRxiv* preprint server, researchers assess the ability of gas chromatography-ion mobility spectrometry (GC-IMS) to differentiate between coronavirus disease 2019 (COVID-19) and other respiratory infections, as well as predict disease severity.
The timely diagnosis and prognosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected patients is crucial for handling COVID-19 symptoms and reducing the risk of disease severity. Reverse transcription-polymerase chain reaction (RT-PCR) performed on nasopharyngeal samples is widely used to diagnose COVID-19. However, RT-PCR assays require professional intervention and are time-consuming.
The study findings showed that GC-IMS can accurately distinguish between COVID-19 infection and other respiratory infections. This approach also can predict CPAP requirements in SARS-CoV-2-related hospitalizations; however, this prediction is dependent on external variables.
The researchers believe that this novel approach can significantly reduce the time and effort required in laboratory testing and has the potential to be incorporated into clinical practice.
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