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Identification and validation of predictive factors for progression to severe COVID-19 pneumonia by proteomics

Year: 2020
Type: letter
Abstract: Recent study showed that around 80% of coronavirus disease-19 (COVID-19) patients are moderate cases who will recover with or without conventional treatment, while the remaining 20% developed severe disease requiring intensive care. 1 Early and accurate screening of new COVID-19 patients to identify those who will develop severe disease will facilitate decision-making on appropriate treatment regimens and reasonable allocation of limited healthcare resources. Therefore, novel predictive factors for disease progress from moderate to severe are urgently needed.
DOI: 10.1038/s41392-020-00333-1
Authors: Biao Di, Hongling Jia, Oscar Junhong Luo, Fangqin Lin, Kuibiao Li, Yuanliang Zhang, Huadong Wang, Huiying Liang, Jun Fan, Zhicong Yang
Institutions: Guangzhou Center for Disease Control and Prevention, Jinan University, Guangzhou Medical University, BGI Group (China), Guangdong General Hospital, Guangdong Academy of Medical Sciences
Language: English
Field: Medicine
Open Access status: gold
Estimated APC paid: $2,680
OpenAlex ID: W3091071908
Cites: 6
Cited by: 27
Related to: 10