Establishment and validation of a clinical risk scoring model to predict fatal risk in SFTS hospitalized patients
The nomogram based on age, elevated PT, high serum urea level, and high viral load can be used to help early identification of SFTS patients at risk of fatality.
Authors
- Zhixiang Dai
- Fang Zhong (ORCID: https://orcid.org/0000-0002-3165-6884)
- Chengxi Zheng
- Zhiliang Hu (ORCID: https://orcid.org/0000-0001-8543-821X)
- Shuhan Tang (ORCID: https://orcid.org/0000-0002-4978-2360)
- Xiaoling Lin (ORCID: https://orcid.org/0000-0001-9084-7026)
- Zhihang Peng
- Kai Wang (ORCID: https://orcid.org/0000-0003-2066-398X)
- Yi Yin
Institutions
- Nanjing University of Chinese Medicine (CN)
- Chinese Center For Disease Control and Prevention (CN)
- Second Affiliated Hospital of Nanjing Medical University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- BMC Infectious Diseases
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1186/s12879-024-09898-6
- Citations
- 9
- Primary Topic
- Viral Infections and Vectors
- Type
- article
- Field-Weighted Citation Impact
- 3.50
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China