Digitally recorded and remotely classified lung auscultation compared with conventional stethoscope classifications among children aged 1-59 months enrolled in the Pneumonia Etiology Research for Child Health (PERCH) case-control study.
Author
Park, Daniel EWatson, Nora L
Focht, Christopher
Feikin, Daniel
Hammit, Laura
Brooks, W Abdullah
Howie, Stephen R C
Kotloff, Karen L
Levine, Orin S
Madhi, Shabir A
Murdoch, David R
O'Brien, Katherine L
Scott, J Anthony G
Thea, Donald M
Amorninthapichet, Tussanee
Awori, Juliet
Bunthi, Charatdao
Ebruke, Bernard
Elhilali, Mounya
Higdon, Melissa
Hossain, Lokman
Jahan, Yasmin
Moore, David P
Mulindwa, Justin
Mwananyanda, Lawrence
Naorat, Sathapana
Prosperi, Christine
Thamthitiwat, Somsak
Verwey, Charl
Jablonski, Kathleen A
Power, Melinda C
Young, Heather A
Deloria Knoll, Maria
McCollum, Eric D
Journal
BMJ Open Respiratory ResearchPublisher
BMJ Publishing GroupType
Article
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We collected digitally recorded lung sounds, conventional auscultation classifications and clinical measures and samples from children with pneumonia (cases) in low-income and middle-income countries. Physicians remotely classified recordings as crackles, wheeze or uninterpretable. Conventional and digital auscultation concordance was evaluated among 383 pneumonia cases with concurrently (within 2 hours) collected conventional and digital auscultation classifications using prevalence-adjusted bias-adjusted kappa (PABAK). Using an expanded set of 737 cases that also incorporated the non-concurrently collected assessments, we evaluated whether associations between auscultation classifications and clinical or aetiological findings differed between conventional or digital auscultation using χ2 tests and logistic regression adjusted for age, sex and site.Rights/Terms
© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.Identifier to cite or link to this item
http://hdl.handle.net/10713/18894ae974a485f413a2113503eed53cd6c53
10.1136/bmjresp-2021-001144
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