A Five-Plasma Protein–Based Algorithm for Predicting Incident CKD in Type 2 Diabetes
The "eGFR+FPPC" model performed better than conventional clinical models in predicting incident CKD in type 2 diabetes participants across different populations.
Authors
- David Tak Wai Lui (ORCID: https://orcid.org/0000-0002-9813-1126)
- Chi‐Ho Lee (ORCID: https://orcid.org/0000-0002-7569-409X)
- Aimin Xu (ORCID: https://orcid.org/0000-0002-0668-033X)
- Xue Jiang (ORCID: https://orcid.org/0000-0003-3503-4684)
- Chloe Yu-Yan Cheung
- Lin Yifen
- Xi Jia
- Junda Zhong
- C. Xu (ORCID: https://orcid.org/0000-0002-4138-3613)
- Karen S.L. Lam (ORCID: https://orcid.org/0000-0001-5757-541X)
- Carol Ho‐Yi Fong
Institutions
- Hong Kong Baptist University (HK)
- Chinese University of Hong Kong (HK)
- University of Hong Kong (HK)
Publication Details
- Journal
- Journal of the American Society of Nephrology
- Published
- 2025-10-20
- DOI
- https://doi.org/10.1681/asn.0000000902
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00