Diagnosis of Tuberculous Pericarditis in Zhejiang, China: A Diagnostic Prediction Model Based on LASSO Logistic Regression
We successfully developed a nomogram model for predicting tuberculous pericarditis, which can assist clinicians in improving diagnostic accuracy and reducing misdiagnoses and missed diagnoses in primary healthcare settings.
Authors
- Xiao Liu (ORCID: https://orcid.org/0000-0002-0919-4820)
- Houyong Zhu (ORCID: https://orcid.org/0000-0001-6011-9810)
- Tielong Chen (ORCID: https://orcid.org/0000-0003-1177-2404)
- Long Cai (ORCID: https://orcid.org/0000-0002-5699-2382)
- Chao Yang (ORCID: https://orcid.org/0000-0002-6553-7963)
- Libin Liu (ORCID: https://orcid.org/0000-0001-8237-7562)
- Hui Wei (ORCID: https://orcid.org/0000-0002-2144-2065)
- Xiaoqun Xu (ORCID: https://orcid.org/0009-0009-0595-1474)
Institutions
- Zhejiang Chinese Medical University (CN)
- Hangzhou Red Cross Hospital (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2025-04-01
- DOI
- https://doi.org/10.2147/jir.s504183
- Citations
- 3
- Primary Topic
- Pericarditis and Cardiac Tamponade
- Type
- article
- Field-Weighted Citation Impact
- 4.16
Funders
- Zhejiang Chinese Medical University