TY - JOUR T1 - Automated lung sound analysis using the LungPass platform: a sensitive and specific tool for identifying lower respiratory tract involvement in COVID-19 JF - European Respiratory Journal JO - Eur Respir J DO - 10.1183/13993003.01907-2021 SP - 2101907 AU - Elena A. Lapteva AU - Olga N. Kharevich AU - Victoria V. Khatsko AU - Natalia A. Voronova AU - Maksim V. Chamko AU - Irina V. Bezruchko AU - Elena I. Katibnikova AU - Elena I. Loban AU - Mostafa M. Mouawie AU - Helena Binetskaya AU - Sergey Aleshkevich AU - Aleksey Karankevich AU - Vitaly Dubinetski AU - Jørgen Vestbo AU - Alexander G. Mathioudakis Y1 - 2021/01/01 UR - http://erj.ersjournals.com/content/early/2021/09/09/13993003.01907-2021.abstract N2 - Lower respiratory tract (LRT) involvement, observed in about 20% of patients suffering from coronavirus disease 2019 (COVID-19), is associated with a more severe clinical course, adverse outcomes, and long-term sequelae [1, 2]. By pointing out people at risk of deterioration, early identification of LRT involvement could facilitate targeted and timely administration of treatments that could alter the short- and long-term disease outcomes [3]. While imaging represents the gold standard diagnostic test for LRT involvement, it is associated with a potentially avoidable radiation burden and may not be easily accessible in some treatment settings, such as primary care [4]. On the other hand, oxygen desaturation appears to be a specific, but not sensitive marker, since ground glass changes or consolidation are often observed in the absence of hypoxia [5, 6, 7]. The sensitivity of chest auscultation in identifying LRT involvement has been evaluated in limited populations and varies [8, 9], possibly to some extent due to variable skill among the assessors.JV and AGM are supported by the National Institute for Health Research Manchester Biomedical Research Centre (NIHR Manchester BRC). ER -