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The respiratory sound features of COVID-19 patients fill gaps between clinical data and screening methods
Ying hui Huang; Si jun Meng; Yi Zhang; Shui sheng Wu; Yu Zhang; Ya wei Zhang; Yi xiang Ye; Qi feng Wei; Nian gui Zhao; Jian ping Jiang; Xiao ying Ji; Chun xia Zhou; Chao Zheng; Wen Zhang; Li zhong Xie; Yong chao Hu; Jian quan He; Jian Chen; Wang yue Wang; Chang hua Zhang; Liming Cao; Wen Xu; Yunhong Lei; Zheng hua Jian; Wei ping Hu; Wen juan Qin; Wan yu Wang; Yu long He; Hang Xiao; Xiao fang Zheng; Yi Qun Hu; Wen Sheng Pan; Jian feng Cai.
Affiliation
  • Ying hui Huang; First Hospital of Nanping, Nanping
  • Si jun Meng; The Seventh Affiliated Hospital of Sun Yat-sen University
  • Yi Zhang; Pucheng County Hospital of Traditional Chinese Medicine
  • Shui sheng Wu; Fujian University of Traditional Chinese Medicine
  • Yu Zhang; Zhejiang provincial people's hospital, People's Hospital of Hangzhou Medical College
  • Ya wei Zhang; The Seventh Affiliated Hospital of Sun Yat-sen University
  • Yi xiang Ye; First Hospital of Nanping
  • Qi feng Wei; First Hospital of Nanping
  • Nian gui Zhao; The Second Afficiated Hospital of Xiamen Medical College
  • Jian ping Jiang; Pucheng County Hospital of Traditional Chinese Medicine
  • Xiao ying Ji; The Seventh Affiliated Hospital of Sun Yat-sen University
  • Chun xia Zhou; The Seventh Affiliated Hospital of Sun Yat-sen University
  • Chao Zheng; The First Affiliated Hospital of XiaMen University
  • Wen Zhang; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai
  • Li zhong Xie; Pucheng County Hospital of Traditional Chinese Medicine
  • Yong chao Hu; Pucheng County Hospital of Traditional Chinese Medicine
  • Jian quan He; Zhongshan Hospital Xiamen University
  • Jian Chen; Zhongshan Hospital Xiamen University
  • Wang yue Wang; Zhejiang provincial people's hospital, People's Hospital of Hangzhou Medical College
  • Chang hua Zhang; Center for Digestive Disease, the Seventh Affiliated Hospital of Sun Yat-sen University
  • Liming Cao; Zhejiang provincial people's hospital, People's Hospital of Hangzhou Medical College
  • Wen Xu; Fujian University of Traditional Chinese Medicine
  • Yunhong Lei; Department of Emergency and Critical Care Medicine, The First College of Clinical Medical Science, T
  • Zheng hua Jian; First Hospital of Nanping
  • Wei ping Hu; The First Affiliated Hospital of XiaMen University
  • Wen juan Qin; Zhongshan Hospital Xiamen University
  • Wan yu Wang; The First Affiliated Hospital of XiaMen University
  • Yu long He; The First College of Clinical Medical Science
  • Hang Xiao; Jiying (XiaMen) Technology Co.
  • Xiao fang Zheng; Pucheng County Hospital of Traditional Chinese Medicine
  • Yi Qun Hu; Xiamen University
  • Wen Sheng Pan; Zhejiang provincial people's hospital, People's Hospital of Hangzhou Medical College
  • Jian feng Cai; First Hospital of Nanping
Preprint in English | medRxiv | ID: ppmedrxiv-20051060
ABSTRACT
BackgroundThe 2019 novel coronavirus (COVID-19) has continuous outbreaks around the world. Lung is the main organ that be involved. There is a lack of clinical data on the respiratory sounds of COVID-19 infected pneumonia, which includes invaluable information concerning physiology and pathology. The medical resources are insufficient, which are now mainly supplied for the severe patients. The development of a convenient and effective screening method for mild or asymptomatic suspicious patients is highly demanded. MethodsThis is a retrospective case series study. 10 patients with positive results of nucleic acid were enrolled in this study. Lung auscultation was performed by the same physician on admission using a hand-held portable electronic stethoscope delivered in real time via Bluetooth. The recorded audio was exported, and was analyzed by six physicians. Each physician individually described the abnormal breathing sounds that he heard. The results were analyzed in combination with clinical data. Signal analysis was used to quantitatively describe the most common abnormal respiratory sounds. ResultsAll patients were found abnormal breath sounds at least by 3 physicians, and one patient by all physicians. Cackles, asymmetrical vocal resonance and indistinguishable murmurs are the most common abnormal breath sounds. One asymptomatic patient was found vocal resonance, and the result was correspondence with radiographic computed tomography. Signal analysis verified the credibility of the above abnormal breath sounds. ConclusionsThis study describes respiratory sounds of patients with COVID-19, which fills up for the lack of clinical data and provides a simple screening method for suspected patients.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
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