An integrative viro-bacterial signature based on viral load and high-resolution microbiome profiling predicts COVID-19 mortality
Our findings demonstrate that an integrative approach, combining nasopharyngeal microbiota profiles with viral load, provides a robust framework for predicting mortality in COVID-19 patients. This strategy offers a promising, non-invasive tool for improving clinical risk stratification.
Authors
- Hong-Mo Shih (ORCID: https://orcid.org/0000-0001-7732-3594)
- Yun-Ying Hung
- Hung-Chieh Su
- Po‐Ren Hsueh (ORCID: https://orcid.org/0000-0002-7502-9225)
- Der‐Yang Cho (ORCID: https://orcid.org/0000-0002-6429-3565)
- Y. Tai (ORCID: https://orcid.org/0009-0007-2351-1064)
- Zi-Lun Lai (ORCID: https://orcid.org/0000-0002-6984-9083)
- Yung‐Chuan Liu (ORCID: https://orcid.org/0000-0002-4800-3337)
- Hsiu-Hsien Lin
- Yi-Yao Hsu
- Yang-Di Su
- Mao‐Wang Ho
Institutions
- China Medical University (TW)
- China Medical University Hospital (TW)
Publication Details
- Journal
- International Journal of Infectious Diseases
- Published
- 2025-10-25
- DOI
- https://doi.org/10.1016/j.ijid.2025.108153
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- China Medical University Hospital
- Ministry of Science and Technology, Taiwan
- China Medical University
- National Science and Technology Council
- Division of Materials Research