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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
BACKGROUND: Diagnosis of pneumonia remains challenging. Digitally recorded and remote human classified lung sounds may offer benefits beyond conventional auscultation, but it is unclear whether classifications differ between the two approaches. We evaluated concordance between digital and convention...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115042/ https://www.ncbi.nlm.nih.gov/pubmed/35577452 http://dx.doi.org/10.1136/bmjresp-2021-001144 |
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author | Park, Daniel E Watson, Nora L Focht, Christopher Feikin, Daniel Hammitt, Laura L 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 |
author_facet | Park, Daniel E Watson, Nora L Focht, Christopher Feikin, Daniel Hammitt, Laura L 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 |
author_sort | Park, Daniel E |
collection | PubMed |
description | BACKGROUND: Diagnosis of pneumonia remains challenging. Digitally recorded and remote human classified lung sounds may offer benefits beyond conventional auscultation, but it is unclear whether classifications differ between the two approaches. We evaluated concordance between digital and conventional auscultation. METHODS: 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 χ(2) tests and logistic regression adjusted for age, sex and site. RESULTS: Conventional and digital auscultation concordance was moderate for classifying crackles and/or wheeze versus neither crackles nor wheeze (PABAK=0.50), and fair for crackles-only versus not crackles-only (PABAK=0.30) and any wheeze versus no wheeze (PABAK=0.27). Crackles were more common on conventional auscultation, whereas wheeze was more frequent on digital auscultation. Compared with neither crackles nor wheeze, crackles-only on both conventional and digital auscultation was associated with abnormal chest radiographs (adjusted OR (aOR)=1.53, 95% CI 0.99 to 2.36; aOR=2.09, 95% CI 1.19 to 3.68, respectively); any wheeze was inversely associated with C-reactive protein >40 mg/L using conventional auscultation (aOR=0.50, 95% CI 0.27 to 0.92) and with very severe pneumonia using digital auscultation (aOR=0.67, 95% CI 0.46 to 0.97). Crackles-only on digital auscultation was associated with mortality compared with any wheeze (aOR=2.70, 95% CI 1.12 to 6.25). CONCLUSIONS: Conventional auscultation and remotely-classified digital auscultation displayed moderate concordance for presence/absence of wheeze and crackles among cases. Conventional and digital auscultation may provide different classification patterns, but wheeze was associated with decreased clinical severity on both. |
format | Online Article Text |
id | pubmed-9115042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-91150422022-06-04 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 Park, Daniel E Watson, Nora L Focht, Christopher Feikin, Daniel Hammitt, Laura L 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 BMJ Open Respir Res Paediatric Lung Disease BACKGROUND: Diagnosis of pneumonia remains challenging. Digitally recorded and remote human classified lung sounds may offer benefits beyond conventional auscultation, but it is unclear whether classifications differ between the two approaches. We evaluated concordance between digital and conventional auscultation. METHODS: 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 χ(2) tests and logistic regression adjusted for age, sex and site. RESULTS: Conventional and digital auscultation concordance was moderate for classifying crackles and/or wheeze versus neither crackles nor wheeze (PABAK=0.50), and fair for crackles-only versus not crackles-only (PABAK=0.30) and any wheeze versus no wheeze (PABAK=0.27). Crackles were more common on conventional auscultation, whereas wheeze was more frequent on digital auscultation. Compared with neither crackles nor wheeze, crackles-only on both conventional and digital auscultation was associated with abnormal chest radiographs (adjusted OR (aOR)=1.53, 95% CI 0.99 to 2.36; aOR=2.09, 95% CI 1.19 to 3.68, respectively); any wheeze was inversely associated with C-reactive protein >40 mg/L using conventional auscultation (aOR=0.50, 95% CI 0.27 to 0.92) and with very severe pneumonia using digital auscultation (aOR=0.67, 95% CI 0.46 to 0.97). Crackles-only on digital auscultation was associated with mortality compared with any wheeze (aOR=2.70, 95% CI 1.12 to 6.25). CONCLUSIONS: Conventional auscultation and remotely-classified digital auscultation displayed moderate concordance for presence/absence of wheeze and crackles among cases. Conventional and digital auscultation may provide different classification patterns, but wheeze was associated with decreased clinical severity on both. BMJ Publishing Group 2022-05-16 /pmc/articles/PMC9115042/ /pubmed/35577452 http://dx.doi.org/10.1136/bmjresp-2021-001144 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Paediatric Lung Disease Park, Daniel E Watson, Nora L Focht, Christopher Feikin, Daniel Hammitt, Laura L 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 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Paediatric Lung Disease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115042/ https://www.ncbi.nlm.nih.gov/pubmed/35577452 http://dx.doi.org/10.1136/bmjresp-2021-001144 |
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