Predictive model for coronavirus disease 2019 severity based on blood biomarkers: a retrospective study
The predictive model, informed by blood biomarkers, successfully discriminates against COVID-19 patients at higher risk for severe outcomes, offering a valuable tool for clinical management and resource optimization.
Authors
- Duan Shuhong
- Zhongying Bao
- Jing Sun (ORCID: https://orcid.org/0000-0001-6284-7862)
- Xiaoyan Liu (ORCID: https://orcid.org/0009-0007-8018-651X)
- Jie Zhang (ORCID: https://orcid.org/0000-0003-2727-8806)
- Yijie Zhang (ORCID: https://orcid.org/0000-0002-6090-2271)
- Jingxin Liu (ORCID: https://orcid.org/0000-0001-6882-2228)
Institutions
- Capital Medical University (CN)
- Soochow University (CN)
- Beijing Shijitan Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-08-08
- DOI
- https://doi.org/10.3389/fmed.2025.1597082
- Citations
- 2
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.79