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Exhaled SARS-CoV-2 quantified by face-mask sampling in hospitalised patients with COVID-19.
Williams, Caroline M; Pan, Daniel; Decker, Jonathan; Wisniewska, Anika; Fletcher, Eve; Sze, Shirley; Assadi, Sara; Haigh, Richard; Abdulwhhab, Mohamad; Bird, Paul; Holmes, Christopher W; Al-Taie, Alaa; Saleem, Baber; Pan, Jingzhe; Garton, Natalie J; Pareek, Manish; Barer, Michael R.
  • Williams CM; Department of Respiratory Sciences, University of Leicester, United Kingdom; Department of Clinical Microbiology, University Hospitals of Leicester NHS Trust, United Kingdom; Department of Infectious Diseases and HIV Medicine, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom. E
  • Pan D; Department of Respiratory Sciences, University of Leicester, United Kingdom; Department of Infectious Diseases and HIV Medicine, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom.
  • Decker J; Department of Respiratory Sciences, University of Leicester, United Kingdom.
  • Wisniewska A; Department of Respiratory Sciences, University of Leicester, United Kingdom.
  • Fletcher E; Department of Respiratory Sciences, University of Leicester, United Kingdom.
  • Sze S; Department of Cardiovascular Sciences, University of Leicester, United Kingdom.
  • Assadi S; Department of Infectious Diseases and HIV Medicine, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom.
  • Haigh R; Department of Respiratory Sciences, University of Leicester, United Kingdom.
  • Abdulwhhab M; Department of Respiratory Sciences, University of Leicester, United Kingdom.
  • Bird P; Department of Respiratory Sciences, University of Leicester, United Kingdom; Department of Clinical Microbiology, University Hospitals of Leicester NHS Trust, United Kingdom.
  • Holmes CW; Department of Respiratory Sciences, University of Leicester, United Kingdom; Department of Clinical Microbiology, University Hospitals of Leicester NHS Trust, United Kingdom.
  • Al-Taie A; Department of Biomedical Engineering, Al-Nahrain University, Baghdad, Iraq.
  • Saleem B; Department of Engineering, University of Leicester, United Kingdom.
  • Pan J; Department of Engineering, University of Leicester, United Kingdom.
  • Garton NJ; Department of Respiratory Sciences, University of Leicester, United Kingdom.
  • Pareek M; Department of Respiratory Sciences, University of Leicester, United Kingdom; Department of Infectious Diseases and HIV Medicine, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom. Electronic address: mp4246@le.ac.uk.
  • Barer MR; Department of Respiratory Sciences, University of Leicester, United Kingdom; Department of Clinical Microbiology, University Hospitals of Leicester NHS Trust, United Kingdom. Electronic address: mrb19@le.ac.uk.
J Infect ; 82(6): 253-259, 2021 06.
Article in English | MEDLINE | ID: covidwho-1152506
ABSTRACT

BACKGROUND:

Human to human transmission of SARS-CoV-2 is driven by the respiratory route but little is known about the pattern and quantity of virus output from exhaled breath. We have previously shown that face-mask sampling (FMS) can detect exhaled tubercle bacilli and have adapted its use to quantify exhaled SARS-CoV-2 RNA in patients admitted to hospital with Coronavirus Disease-2019 (COVID-19).

METHODS:

Between May and December 2020, we took two concomitant FMS and nasopharyngeal samples (NPS) over two days, starting within 24 h of a routine virus positive NPS in patients hospitalised with COVID-19, at University Hospitals of Leicester NHS Trust, UK. Participants were asked to wear a modified duckbilled facemask for 30 min, followed by a nasopharyngeal swab. Demographic, clinical, and radiological data, as well as International Severe Acute Respiratory and emerging Infections Consortium (ISARIC) mortality and deterioration scores were obtained. Exposed masks were processed by removal, dissolution and analysis of sampling matrix strips fixed within the mask by RT-qPCR. Viral genome copy numbers were determined and results classified as Negative; Low ≤999 copies; Medium 1000-99,999 copies and High ≥ 100,000 copies per strip for FMS or per 100 µl for NPS.

RESULTS:

102 FMS and NPS were collected from 66 routinely positive patients; median age 61 (IQR 49 - 77), of which FMS was positive in 38% of individuals and concomitant NPS was positive in 50%. Positive FMS viral loads varied over five orders of magnitude (<10-3.3 x 106 genome copies/strip); 21 (32%) patients were asymptomatic at the time of sampling. High FMS viral load was associated with respiratory symptoms at time of sampling and shorter interval between sampling and symptom onset (FMS High median (IQR) 2 days (2-3) vs FMS Negative 7 days (7-10), p = 0.002). On multivariable linear regression analysis, higher FMS viral loads were associated with higher ISARIC mortality (Medium FMS vs Negative FMS gave an adjusted coefficient of 15.7, 95% CI 3.7-27.7, p = 0.01) and deterioration scores (High FMS vs Negative FMS gave an adjusted coefficient of 37.6, 95% CI 14.0 to 61.3, p = 0.002), while NPS viral loads showed no significant association.

CONCLUSION:

We demonstrate a simple and effective method for detecting and quantifying exhaled SARS-CoV-2 in hospitalised patients with COVID-19. Higher FMS viral loads were more likely to be associated with developing severe disease compared to NPS viral loads. Similar to NPS, FMS viral load was highest in early disease and in those with active respiratory symptoms, highlighting the potential role of FMS in understanding infectivity.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic study Limits: Humans / Middle aged Language: English Journal: J Infect Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic study Limits: Humans / Middle aged Language: English Journal: J Infect Year: 2021 Document Type: Article