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WeightNameValue
1000 Titel
  • Epidemiologic and clinical characteristics of 42 deaths caused by SARS-CoV-2 infection in Wuhan, China: A retrospective study
1000 Autor/in
  1. Zhang, Nan |
  2. Yao, Haochen |
  3. Zhang, Dong |
  4. Pan, Jiahui |
  5. Peng, Ejun |
  6. Huang, Juanjuan |
  7. Zhang, Yingli |
  8. Xu, Xiaoming |
  9. Tian, Guobao |
  10. Xu, Hong |
  11. Wang, Guoqing |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-07-15
1000 Erschienen in
1000 Quellenangabe
  • 2(3):164-168
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.bsheal.2020.07.007 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • This study described the epidemiologic and clinical characteristics of patients who died from SARS-CoV-2 infection, and pointed out the potential risk factors associated with fatal outcomes. Retrospective data from 42 death cases due to SARS-CoV-2 infection at Tongji Hospital Affiliated to Huazhong University of Science and Technology, Wuhan, China was analyzed. Demographics, clinical detection, laboratory findings, and treatments of the deceased were collected and analyzed. The average time between onset of symptoms and admission to the hospitals was 11 ± 5 days of hospitalization. Among the deceased, 60% were with co-morbidities. All of them were having fever and bilateral pneumonia on computed tomography, abnormal infection-related biomarkers, and renal impairment. Abnormal blood coagulation parameters that appeared in more than half of them, were consistent with disseminated intravascular coagulation. All of the patients were treated in the ICU. Based on the fact that SARS-CoV-2 infection carries a risk of mortality, we may infer a few older male patients with underlying comorbidities are likely to have the increased risk. Impaired consciousness level, markers of renal impairment and coagulation abnormalities may be poor prognostic factors.
1000 Sacherschließung
lokal Epidemiology
gnd 1206347392 COVID-19
lokal Clinical characteristics
lokal Death cases
lokal Risk factors
lokal SARS-CoV-2
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/WmhhbmcsIE5hbg==|https://frl.publisso.de/adhoc/uri/WWFvLCBIYW9jaGVu|https://frl.publisso.de/adhoc/uri/WmhhbmcsIERvbmc=|https://frl.publisso.de/adhoc/uri/UGFuLCBKaWFodWk=|https://frl.publisso.de/adhoc/uri/UGVuZywgRWp1bg==|https://frl.publisso.de/adhoc/uri/SHVhbmcsIEp1YW5qdWFu|https://frl.publisso.de/adhoc/uri/WmhhbmcsIFlpbmdsaQ==|https://frl.publisso.de/adhoc/uri/WHUsIFhpYW9taW5n|https://frl.publisso.de/adhoc/uri/VGlhbiwgR3VvYmFv|https://frl.publisso.de/adhoc/uri/WHUsIEhvbmc=|https://frl.publisso.de/adhoc/uri/V2FuZywgR3VvcWluZw==
1000 Label
1000 Förderer
  1. Belt and Road Initiative |
  2. National Natural Science Foundation of China |
  3. Department of Science and Technology of Jilin Province |
1000 Fördernummer
  1. 2018ZX10101002
  2. 81871699
  3. 172408GH010234983
1000 Förderprogramm
  1. Epidemiology, Early Warning, and Response Techniques of Major Infectious Diseases
  2. -
  3. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Belt and Road Initiative |
    1000 Förderprogramm Epidemiology, Early Warning, and Response Techniques of Major Infectious Diseases
    1000 Fördernummer 2018ZX10101002
  2. 1000 joinedFunding-child
    1000 Förderer National Natural Science Foundation of China |
    1000 Förderprogramm -
    1000 Fördernummer 81871699
  3. 1000 joinedFunding-child
    1000 Förderer Department of Science and Technology of Jilin Province |
    1000 Förderprogramm -
    1000 Fördernummer 172408GH010234983
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6421922.rdf
1000 Erstellt am 2020-07-16T12:09:37.819+0200
1000 Erstellt von 122
1000 beschreibt frl:6421922
1000 Bearbeitet von 122
1000 Zuletzt bearbeitet Mon Mar 22 12:13:15 CET 2021
1000 Objekt bearb. Mon Mar 22 12:13:14 CET 2021
1000 Vgl. frl:6421922
1000 Oai Id
  1. oai:frl.publisso.de:frl:6421922 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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