Predictive nomogram for early detection of invasive fungal disease deterioration --- a 10-year retrospective cohort study
The study successfully identified seven independent predictors and developed a predictive nomogram for early assessment of the likelihood of IFD deterioration.
Authors
- Chaomin Chen (ORCID: https://orcid.org/0000-0002-7661-1313)
- Wei Wang (ORCID: https://orcid.org/0000-0002-8984-6795)
- Hua Wang (ORCID: https://orcid.org/0000-0002-2869-9488)
- Weibin Cheng (ORCID: https://orcid.org/0000-0002-9845-6676)
- Mengyuan Cheng (ORCID: https://orcid.org/0000-0001-7693-2144)
- Li Yan (ORCID: https://orcid.org/0000-0002-2218-8644)
- Qingwen Lv
- Mingliang Wu
- Yumeng Du (ORCID: https://orcid.org/0000-0002-6430-9440)
- Jinyan Tang
Institutions
- Zhujiang Hospital (CN)
- Guangdong Provincial People's Hospital (CN)
- Chongqing Medical University (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- BMC Infectious Diseases
- Published
- 2025-05-07
- DOI
- https://doi.org/10.1186/s12879-025-11030-1
- Citations
- 1
- Primary Topic
- Antifungal resistance and susceptibility
- Type
- article
- Field-Weighted Citation Impact
- 1.40
Funders
- Chongqing Medical University
- Southern Medical University
- National Key Research and Development Program of China