Comorbidity patterns associated with severe COVID-19 outcomes: A cohort study based on the UK Biobank
Our study demonstrated that pre-existing comorbidity modules, particularly modules related to circulatory and respiratory diseases and age-related eye diseases, were associated with severe COVID-19. Moreover, the module-based comorbidity index provides better prediction of severe COVID-19 than existing prediction indices.
Authors
- Can Hou (ORCID: https://orcid.org/0000-0002-6903-6007)
- Yao Hu (ORCID: https://orcid.org/0000-0002-2810-646X)
- Huan Song (ORCID: https://orcid.org/0000-0003-3845-8079)
- Jianguo Zhang (ORCID: https://orcid.org/0000-0001-7057-2862)
- Fang Fang (ORCID: https://orcid.org/0000-0002-3310-6456)
- Yao Yang (ORCID: https://orcid.org/0000-0003-1781-5452)
- Wenwen Chen (ORCID: https://orcid.org/0000-0002-2586-9234)
- Haowen Liu (ORCID: https://orcid.org/0000-0001-8498-290X)
- Shishi Xu (ORCID: https://orcid.org/0000-0003-1696-2178)
- Unnur A. Valdimarsdóttir
Institutions
- Harvard University (US)
- University of Iceland (IS)
- Sichuan University (CN)
- West China Medical Center of Sichuan University (CN)
- Karolinska Institutet (SE)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1371/journal.pone.0329701
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Sichuan University
- Natural Science Foundation of Sichuan Province
- West China Hospital, Sichuan University