Nomogram for prediction of fatal outcome in patients with severe COVID-19: a multicenter study

Your Location：

Home >

Browse articles >

Nomogram for prediction of fatal outcome in patients with severe COVID-19: a multicenter study

RESEARCH | Updated：2023-02-28

- Nomogram for prediction of fatal outcome in patients with severe COVID-19: a multicenter study
- Yun Yang , Xiao-Fei Zhu , Jian Huang , Cui Chen , Yang Zheng , Wei He , Ling-Hao Zhao , Qian Gao , Xuan-Xuan Huang , Li-Juan Fu , Yu Zhang , Yan-Qin Chang , Huo-Jun Zhang , Zhi-Jie Lu
- Military Medical Research Vol. 8, Issue 4, Pages: 535-545(2021)
- Affiliations：
  1.The Third Affiliated Hospital of Second Military Medical University, Shanghai 200438, China
  2.The Guanggu Branch of the Women and Children’s Hospital of Hubei Province, Wuhan 430070, China
  3.The First Affiliated Hospital of Second Military Medical University, Shanghai 200438, China
  4.904 Hospital of PLA Joint Logistic Support Force, Wuxi 215000, Jiangsu, China
  5.Tongji Taikang Hospital, Wuhan 430050, China
  6.924 Hospital of PLA Joint Logistic Support Force, Guilin 541002, Guangxi, China
  7.Huoshen Mountain Hospital, Wuhan 430113, China
- Author bio：
  * changyanqin1018@163.com;
  chyyzhj@163.com;
  luzhijieehbh@126.com
- Funds：
- DOI： 10.1186/s40779-021-00315-6
  CLC：
- Accepted：
Scan QR Code
DOI：
DOI：

Full Text(HTML)
Figs( 4 ) Tabs( 3 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

10

Views

16

Downloads

0

CSCD

Alert me when the article has been cited

Submit

Tools

BibTeXDownload
EndnoteDownload
RefMan Download
NoteExpressDownload
NoteFirstDownload

Publicity Resources

Related Articles

Burden of women's cancers in the group of twenty (G20) from 1990 to 2023: epidemiological trends and impact from fertility, quality of care, and survival

Effect of early administration of tetracosactide on mortality and host response in critically ill patients requiring rescue surgery: a sensitivity analysis of the STOPSHOCK phase 3 randomized controlled trial

Enhancing the clinical relevance of haemorrhage prediction models in trauma

Kinetic method for enzymatic analysis by predicting background with uricase reaction as model

Endothelial barrier and sepsis: mechanisms and potential therapeutic strategies

Related Author

Yi-Fei Hu

Sten H. Vermund

Yeerlin Asihaer

Bing-Qing Wu

Miao Li

Meng-Ying Guan

Hui-Ming He

Jin-Lei Qi

Related Institution

Beijing Key Laboratory of Environment and Aging, Capital Medical University

College of Public Health, University of South Florida

National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC)

Department of Gynecology, Beijing Youan Hospital, Capital Medical University

Evidence-based Medicine Center, Beijing Luhe Hospital, Capital Medical University