Machine learning with decision curve analysis evaluates nutritional metabolic biomarkers for cardiovascular-kidney-metabolic risk: an NHANES analysis
This study demonstrates significant relationship between RAR, NPAR, SIRI, and Homair with the five stages of CKM, with RAR showing the robust association. DCA-confirmed RAR demonstrates high clinical translatability as a standalone predictor for CKM risk stratification.
Authors
- Jun Huang (ORCID: https://orcid.org/0000-0002-6135-1256)
- Xigao Cheng (ORCID: https://orcid.org/0000-0002-6105-1499)
- Weiyue Feng (ORCID: https://orcid.org/0000-0002-1869-8000)
- Zhuo Liu (ORCID: https://orcid.org/0000-0003-0961-7149)
- Ya‐Chun Huang (ORCID: https://orcid.org/0009-0003-6500-6788)
Institutions
- Xinjiang Medical University (CN)
- Shenzhen Institute of Information Technology (CN)
- People's Hospital of Xinjiang Uygur Autonomous Region (CN)
- Jiangsu Hengrui Medicine (China) (CN)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2025-05-08
- DOI
- https://doi.org/10.3389/fnut.2025.1597864
- Citations
- 2
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.71
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Xinjiang
- Graduate Research and Innovation Projects of Jiangsu Province