A nomogram-based clinical prediction model for adverse clinical outcomes in non-HIV Pneumocystis jirovecii pneumonia patients
Regression analysis identified smoking status, CMV infection, diabetes, NLR, LDH, PFR, and lymphocyte subset as independent risk factors for adverse clinical outcomes in non-HIV PJP patients. The predictive model constructed from these factors exhibited robust accuracy and reliability.
Authors
- Lujia Guan
- Xiaoxia Hou
- Dong Wang (ORCID: https://orcid.org/0000-0001-6928-8725)
- Xi Zhan (ORCID: https://orcid.org/0000-0001-6374-7740)
- Zhaohui Tong (ORCID: https://orcid.org/0000-0002-5341-6857)
- Qian Yin
Institutions
- Capital Medical University (CN)
- Beijing Chao-Yang Hospital, Capital Medical University (CN)
Publication Details
- Journal
- BMC Pulmonary Medicine
- Published
- 2025-05-17
- DOI
- https://doi.org/10.1186/s12890-025-03700-2
- Citations
- 1
- Primary Topic
- Pneumocystis jirovecii pneumonia detection and treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- National Natural Science Foundation of China