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Coronavirus disease 2019 (COVID-19): cytokine storms, hyper-inflammatory phenotypes, and acute respiratory distress syndrome.
Lin, Shi-Hui; Zhao, Yi-Si; Zhou, Dai-Xing; Zhou, Fa-Chun; Xu, Fang.
  • Lin SH; Department of Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Zhao YS; Department of Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Zhou DX; Department of Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zhou FC; Department of Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Xu F; Department of Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Genes Dis ; 7(4): 520-527, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-622853
ABSTRACT
Coronavirus Disease 2019 (COVID-19) was first identified in China at the end of 2019. Acute respiratory distress syndrome (ARDS) represents the most common and serious complication of COVID-19. Cytokine storms are a pathophysiological feature of COVID-19 and play an important role in distinguishing hyper-inflammatory subphenotypes of ARDS. Accordingly, in this review, we focus on hyper-inflammatory host responses in ARDS that play a critical role in the differentiated development of COVID-19. Furthermore, we discuss inflammation-related indicators that have the potential to identify hyper-inflammatory subphenotypes of COVID-19, especially for those with a high risk of ARDS. Finally, we explore the possibility of improving the quality of monitoring and treatment of COVID-19 patients and in reducing the incidence of critical illness and mortality via better distinguishing hyper- and hypo-inflammatory subphenotypes of COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Genes Dis Year: 2020 Document Type: Article Affiliation country: J.gendis.2020.06.009

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Genes Dis Year: 2020 Document Type: Article Affiliation country: J.gendis.2020.06.009