Development of a nomogram for predicting depression risk in patients with chronic kidney disease: an analysis of data from the US National Health and Nutrition Examination Survey, 2007–2014
We have crafted a predictive model with good discriminative power that could potentially help clinicians identify patients with CKD at high risk for depression, thereby facilitating early intervention and improving the prognosis of these patients.
Authors
- Yuan Zhu
- Liang Xiao (ORCID: https://orcid.org/0000-0003-0312-7149)
- Tianhao Zhang (ORCID: https://orcid.org/0000-0002-6258-4553)
- Xu Huang (ORCID: https://orcid.org/0000-0003-1017-4197)
- Bin Wu (ORCID: https://orcid.org/0000-0003-0742-380X)
- Jian Cheng (ORCID: https://orcid.org/0000-0002-9805-8870)
- R. Lai
Institutions
- First Hospital of China Medical University (CN)
- China Medical University (CN)
Publication Details
- Journal
- BMJ Open
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1136/bmjopen-2024-089956
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 0.00