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1000 Titel
  • Clinical characteristics of 25 death cases with COVID-19: a retrospective review of medical records in a single medical center, Wuhan, China
1000 Autor/in
  1. Li, Xun |
  2. Wang, Luwen |
  3. Yan, Shaonan |
  4. Yang, Fan |
  5. Xiang, Longkui |
  6. Zhu, Jiling |
  7. Shen, Bo |
  8. Gong, Zuojiong |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-04-03
1000 Erschienen in
1000 Quellenangabe
  • 94:128-132
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.ijid.2020.03.053 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • OBJECTIVES: This study aims to summarize the clinical characteristics of death cases with COVID-19 and to identify critically ill patients of COVID-19 early and reduce their mortality. METHODS: The clinical records, laboratory findings and radiological assessments included chest X-ray or computed tomography were extracted from electronic medical records of 25 died patients with COVID-19 in Renmin Hospital of Wuhan University from Jan 14 to Feb 13, 2020. Two experienced clinicians reviewed and abstracted the data. RESULTS: The age and underlying diseases (hypertension, diabetes, etc.) were the most important risk factors for death of COVID-19 pneumonia. Bacterial infections may play an important role in promoting the death of patients. Malnutrition was common to severe patients. Multiple organ dysfunction can be observed, the most common organ damage was lung, followed by heart, kidney and liver. The rising of neutrophils, SAA, PCT, CRP, cTnI, D-dimer, LDH and lactate levels can be used as indicators of disease progression, as well as the decline of lymphocytes counts. CONCLUSIONS: The clinical characteristics of 25 death cases with COVID-19 we summarized, which would be helpful to identify critically ill patients of COVID-19 early and reduce their mortality.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Clinical characteristics
lokal Death cases
lokal Retrospective review
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/TGksIFh1bg==|https://frl.publisso.de/adhoc/uri/V2FuZywgTHV3ZW4=|https://frl.publisso.de/adhoc/uri/WWFuLCBTaGFvbmFu|https://frl.publisso.de/adhoc/uri/WWFuZywgRmFu|https://frl.publisso.de/adhoc/uri/WGlhbmcsIExvbmdrdWk=|https://frl.publisso.de/adhoc/uri/Wmh1LCBKaWxpbmc=|https://frl.publisso.de/adhoc/uri/U2hlbiwgQm8=|https://frl.publisso.de/adhoc/uri/R29uZywgWnVvamlvbmc=
1000 Label
1000 Förderer
  1. National Natural Science Foundation of China |
1000 Fördernummer
  1. 81870413
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer National Natural Science Foundation of China |
    1000 Förderprogramm -
    1000 Fördernummer 81870413
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6419811.rdf
1000 Erstellt am 2020-04-07T11:54:10.058+0200
1000 Erstellt von 122
1000 beschreibt frl:6419811
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet Tue Sep 14 19:33:30 CEST 2021
1000 Objekt bearb. Tue Sep 14 19:33:29 CEST 2021
1000 Vgl. frl:6419811
1000 Oai Id
  1. oai:frl.publisso.de:frl:6419811 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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