Development of a prediction model for in-hospital mortality in immunocompromised chronic kidney diseases patients with severe infection
Our findings highlight PL as the most significant predictor of in-hospital mortality in immunocompromised CKD patients. A clinical prediction model incorporating PL as a key variable exhibited robust performance in terms of diagnostic accuracy and clinical utility.
Authors
- Liang Zhao (ORCID: https://orcid.org/0000-0002-1303-8775)
- Yuchao Zhou
- Shutian Xu (ORCID: https://orcid.org/0009-0000-7985-1251)
- Mingzhu Zheng (ORCID: https://orcid.org/0000-0002-9399-9225)
- Yonghong Wang (ORCID: https://orcid.org/0000-0002-1683-6721)
- Shijun Li (ORCID: https://orcid.org/0000-0001-6158-4423)
- Yang Wang (ORCID: https://orcid.org/0000-0002-2626-478X)
- Chunni Huang
- Lixuan Lou
Institutions
- Nanjing General Hospital of Nanjing Military Command (CN)
- Jiangsu Province Hospital (CN)
- Southeast University (CN)
- Nanjing Medical University (CN)
- Nanjing University (CN)
Publication Details
- Journal
- BMC Nephrology
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1186/s12882-025-04002-9
- Citations
- 1
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.35