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: & #8804; 999 copies; Medium : 1000-99,999 copies and High & #8805; 100,000 copies per strip for FMS or per 100â¯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), pâ¯=â¯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, pâ¯=â¯0.01) and deterioration scores (High FMS vs Negative FMS gave an adjusted coefficient of 37.6 , 95% CI 14.0 to 61.3, pâ¯=â¯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.