Analysis of prognostic factors and construction of a prediction model for patients with initially treated severe pulmonary tuberculosis
The predictive model constructed based on CRP, Na, ALB, BUN, LY, NLR, respiratory failure, and consciousness disorder has good predictive value for the prognosis of patients with initially treated severe PTB.
Authors
- Y Chen
- Yanru Liu (ORCID: https://orcid.org/0000-0002-1367-8481)
- Sibo Long
- Lingjuan Zhao (ORCID: https://orcid.org/0000-0003-4630-5689)
- Xue Min Yu (ORCID: https://orcid.org/0000-0002-6633-6055)
- Huan Li (ORCID: https://orcid.org/0000-0003-3878-0973)
- Jing Zhang (ORCID: https://orcid.org/0000-0002-6566-6693)
- Wensheng Li (ORCID: https://orcid.org/0000-0001-8190-9475)
- Guirong Wang (ORCID: https://orcid.org/0000-0002-9391-931X)
- Wen Li (ORCID: https://orcid.org/0009-0007-4512-0240)
- Shubin Guo (ORCID: https://orcid.org/0000-0002-4434-4169)
- Ruyun Zhang (ORCID: https://orcid.org/0000-0002-4932-7536)
- Zhifeng Liu
- Xuan Lei
Institutions
- Army Medical University (CN)
- Capital Medical University (CN)
- Daping Hospital (CN)
- Beijing Chest Hospital (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2025-10-01
- DOI
- https://doi.org/10.21037/jtd-2025-1059
- Citations
- 1
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.48