Literature DB >> 33628098

Lung Auscultation of Hospitalized Patients with SARS-CoV-2 Pneumonia via a Wireless Stethoscope.

Pengyu Zhang1, Bingjian Wang2, Yan Liu3, Muge Fan3, Yong Ji1, Hao Xu3, Mengdan Xu3, Songwen Chen3, Qing Li4, Zhi Zhang3.   

Abstract

Objective: SARS-CoV-2 (originally named COVID-2019) pneumonia is currently prevalent worldwide. The number of cases has increased rapidly but the auscultatory characteristics of affected patients and how to use it to predict who is most likely to survive or die are not available. This study aims to describe the auscultatory characteristics and its clinical relativity of SARS-CoV-2 pneumonia by using a wireless stethoscope. Material and methods: A cross-sectional, observational, single-center case series of 30 consecutive hospitalized patients with confirmed SARS-CoV-2 pneumonia at Leishenshan Hospital in Wuhan, China, were enrolled from March 9 to April 5, 2020. Clinical, laboratory, radiological, treatment data and lung auscultation were collected and analyzed. Lung auscultation was acquired by a wireless electronic stethoscope. Auscultatory characteristics of the moderate, severe, and critically ill patients were compared.
Results: Kinds of crackles including fine crackles and wheezing were heard and recorded in these patients. Velcro crackles were heard in most critically ill patients (6/10). Besides, patients with Velcro crackles were all dead (6/6). There was no positive lung auscultatory finding in the moderate group and little positive lung auscultatory findings (4/10) in the severe group.
Conclusion: Velcro crackles can be auscultated by this newly designed electronic wireless stethoscope in most critically ill patients infected by SARS-CoV-2 and predicts a poor prognosis. Moderate and severe patients without positive auscultatory findings may have a better prognosis. © The author(s).

Entities:  

Keywords:  SARS-CoV-2; auscultation; crackle; pneumonia.; stethoscope

Mesh:

Year:  2021        PMID: 33628098      PMCID: PMC7893566          DOI: 10.7150/ijms.54987

Source DB:  PubMed          Journal:  Int J Med Sci        ISSN: 1449-1907            Impact factor:   3.738


  18 in total

1.  Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.

Authors:  Dawei Wang; Bo Hu; Chang Hu; Fangfang Zhu; Xing Liu; Jing Zhang; Binbin Wang; Hui Xiang; Zhenshun Cheng; Yong Xiong; Yan Zhao; Yirong Li; Xinghuan Wang; Zhiyong Peng
Journal:  JAMA       Date:  2020-03-17       Impact factor: 56.272

2.  Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study.

Authors:  Wei Zhao; Zheng Zhong; Xingzhi Xie; Qizhi Yu; Jun Liu
Journal:  AJR Am J Roentgenol       Date:  2020-03-03       Impact factor: 3.959

3.  Gross examination report of a COVID-19 death autopsy.

Authors:  Q Liu; R S Wang; G Q Qu; Y Y Wang; P Liu; Y Z Zhu; G Fei; L Ren; Y W Zhou; L Liu
Journal:  Fa Yi Xue Za Zhi       Date:  2020-02-25

4.  A convenient method to verify the accuracy of oscillometric blood pressure monitors by the auscultatory method: A smartphone-based app.

Authors:  Zhi Zhang; Weichun Xi; Bingjiang Wang; Guang Chu; Fang Wang
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-12-20       Impact factor: 3.738

5.  "Velcro-type" crackles predict specific radiologic features of fibrotic interstitial lung disease.

Authors:  Giacomo Sgalla; Simon L F Walsh; Nicola Sverzellati; Sophie Fletcher; Stefania Cerri; Borislav Dimitrov; Dragana Nikolic; Anna Barney; Fabrizio Pancaldi; Luca Larcher; Fabrizio Luppi; Mark G Jones; Donna Davies; Luca Richeldi
Journal:  BMC Pulm Med       Date:  2018-06-18       Impact factor: 3.317

6.  The acoustic characteristics of fine crackles predict honeycombing on high-resolution computed tomography.

Authors:  Toshikazu Fukumitsu; Yasushi Obase; Yuji Ishimatsu; Shota Nakashima; Hiroshi Ishimoto; Noriho Sakamoto; Kosei Nishitsuji; Shunpei Shiwa; Tomoya Sakai; Sueharu Miyahara; Kazuto Ashizawa; Hiroshi Mukae; Ryo Kozu
Journal:  BMC Pulm Med       Date:  2019-08-17       Impact factor: 3.317

7.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

8.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.

Authors:  Nanshan Chen; Min Zhou; Xuan Dong; Jieming Qu; Fengyun Gong; Yang Han; Yang Qiu; Jingli Wang; Ying Liu; Yuan Wei; Jia'an Xia; Ting Yu; Xinxin Zhang; Li Zhang
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

9.  Diagnosis of SARS-CoV-2 infection based on CT scan vs RT-PCR: reflecting on experience from MERS-CoV.

Authors:  J A Al-Tawfiq; Z A Memish
Journal:  J Hosp Infect       Date:  2020-03-06       Impact factor: 3.926

10.  Pathological findings of COVID-19 associated with acute respiratory distress syndrome.

Authors:  Zhe Xu; Lei Shi; Yijin Wang; Jiyuan Zhang; Lei Huang; Chao Zhang; Shuhong Liu; Peng Zhao; Hongxia Liu; Li Zhu; Yanhong Tai; Changqing Bai; Tingting Gao; Jinwen Song; Peng Xia; Jinghui Dong; Jingmin Zhao; Fu-Sheng Wang
Journal:  Lancet Respir Med       Date:  2020-02-18       Impact factor: 30.700

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  5 in total

1.  A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital.

Authors:  Nour Kasim; Noa Bachner-Hinenzon; Shay Brikman; Ori Cheshin; Doron Adler; Guy Dori
Journal:  Biomed Signal Process Control       Date:  2022-06-27       Impact factor: 5.076

Review 2.  Wireless Networking-Driven Healthcare Approaches in Combating COVID-19.

Authors:  Syed Mohammed BasheeruddinAsdaq; N Raghavendra Naveen; Lakshmi Narasimha Gunturu; Kalpana Pamayyagari; Ibrahim Abdullah; Nagaraja Sreeharsha; Mohd Imran; Abdulkhaliq J Alsalman; Maitham A Al Hawaj; Mohammed Al Mohaini; Abdullah A Alsubaie; Khulod D Alanzi; Maha S Alanazi; Amani A Alanazi
Journal:  Biomed Res Int       Date:  2021-12-30       Impact factor: 3.411

3.  Automated lung sound analysis using the LungPass platform: a sensitive and specific tool for identifying lower respiratory tract involvement in COVID-19.

Authors:  Elena A Lapteva; Olga N Kharevich; Victoria V Khatsko; Natalia A Voronova; Maksim V Chamko; Irina V Bezruchko; Elena I Katibnikova; Elena I Loban; Mostafa M Mouawie; Helena Binetskaya; Sergey Aleshkevich; Aleksey Karankevich; Vitaly Dubinetski; Jørgen Vestbo; Alexander G Mathioudakis
Journal:  Eur Respir J       Date:  2021-12-02       Impact factor: 16.671

4.  VECTOR: An algorithm for the detection of COVID-19 pneumonia from velcro-like lung sounds.

Authors:  Fabrizio Pancaldi; Giuseppe Stefano Pezzuto; Giulia Cassone; Marianna Morelli; Andreina Manfredi; Matteo D'Arienzo; Caterina Vacchi; Fulvio Savorani; Giovanni Vinci; Francesco Barsotti; Maria Teresa Mascia; Carlo Salvarani; Marco Sebastiani
Journal:  Comput Biol Med       Date:  2022-01-06       Impact factor: 4.589

5.  Real-world evaluation of the Stemoscope electronic tele-auscultation system.

Authors:  Muge Fan; Qiuli Wang; Jiaqi Liu; Lingyun Su; Bingjian Wang; Hai Xu; Qing Li; Zhi Zhang
Journal:  Biomed Eng Online       Date:  2022-09-06       Impact factor: 3.903

  5 in total

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