Download
s13054-020-02876-9.pdf 428,03KB
WeightNameValue
1000 Titel
  • Lung ultrasound findings in patients with COVID-19 pneumonia
1000 Autor/in
  1. Xing, Changyang |
  2. Li, Qiaoying |
  3. Du, Hong |
  4. Kang, Wenzhen |
  5. Lian, Jianqi |
  6. Yuan, Lijun |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-04-28
1000 Erschienen in
1000 Quellenangabe
  • 24(1):174
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s13054-020-02876-9 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Since December 2019, the outbreak of pneumonia caused by a new coronavirus [1], which was later identified as coronavirus disease 2019 (COVID­19), has infected more than 410,000 patients globally according to the situation report of World Health Organization. Lung ultrasound is an important tool for the diagnosis and follow-up of pneumonia in neonates, children, and adults [2,3,4]. Recent CT reports demonstrated that most of the lesions were distributed peripherally in the lung, which facilitates detection by lung ultrasound [5, 6]. In this study, we characterize the lung ultrasound findings COVID-19 pneumonia, and study the relationship between the ultrasound findings and clinical severity and the time-course of disease progress. Bedside lung ultrasound was performed to detect B-lines, lung consolidation, and pleural line abnormalities at 5 areas in each lung. Vascular ultrasound was also performed to detect potential deep vein thrombosis.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Lung ultrasound
lokal Deep vein thrombosis
lokal SARS-CoV-2
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/WGluZywgQ2hhbmd5YW5n|https://frl.publisso.de/adhoc/uri/TGksIFFpYW95aW5n|https://frl.publisso.de/adhoc/uri/RHUsIEhvbmc=|https://frl.publisso.de/adhoc/uri/S2FuZywgV2Vuemhlbg==|https://frl.publisso.de/adhoc/uri/TGlhbiwgSmlhbnFp|https://frl.publisso.de/adhoc/uri/WXVhbiwgTGlqdW4=
1000 Label
1000 Förderer
  1. Ministry of Science and Technology of the People's Republic of China |
  2. Shaanxi Provincial Science and Technology Department |
  3. National Postdoctoral Program for Innovative Talents |
  4. Fourth Military Medical University |
1000 Fördernummer
  1. 2017YFC0113800; 2017ZX10204401-002-005
  2. 2020ZDXM-SF-003
  3. BX20180377
  4. -
1000 Förderprogramm
  1. Key Program of Digital Diagnosis and Therapy; National Science and Technology Major Project
  2. Key Research and Development Program
  3. -
  4. Eyas Program
1000 Dateien
  1. Lung ultrasound findings in patients with COVID-19 pneumonia
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Ministry of Science and Technology of the People's Republic of China |
    1000 Förderprogramm Key Program of Digital Diagnosis and Therapy; National Science and Technology Major Project
    1000 Fördernummer 2017YFC0113800; 2017ZX10204401-002-005
  2. 1000 joinedFunding-child
    1000 Förderer Shaanxi Provincial Science and Technology Department |
    1000 Förderprogramm Key Research and Development Program
    1000 Fördernummer 2020ZDXM-SF-003
  3. 1000 joinedFunding-child
    1000 Förderer National Postdoctoral Program for Innovative Talents |
    1000 Förderprogramm -
    1000 Fördernummer BX20180377
  4. 1000 joinedFunding-child
    1000 Förderer Fourth Military Medical University |
    1000 Förderprogramm Eyas Program
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6420566.rdf
1000 Erstellt am 2020-04-29T12:19:47.839+0200
1000 Erstellt von 122
1000 beschreibt frl:6420566
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet 2021-03-08T15:03:48.095+0100
1000 Objekt bearb. Mon Mar 08 15:03:47 CET 2021
1000 Vgl. frl:6420566
1000 Oai Id
  1. oai:frl.publisso.de:frl:6420566 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source