Adding biomarker change information to the kidney failure risk equation improves predictive ability for dialysis dependency in eGFR <30 ml/min/1.73 m2
The KFRE model was improved by incorporating yearly changes in its components. The added information may help clinicians identify high-risk individuals and improve their care.
Authors
- Satoko Yamaguchi (ORCID: https://orcid.org/0000-0003-2822-2281)
- Akira Okada (ORCID: https://orcid.org/0000-0001-6480-3388)
- Toshimasa Yamauchi (ORCID: https://orcid.org/0000-0003-4827-6404)
- Masaomi Nangaku (ORCID: https://orcid.org/0000-0001-7401-2934)
- Takashi Kadowaki (ORCID: https://orcid.org/0000-0002-5428-3582)
- Shotaro Aso (ORCID: https://orcid.org/0000-0002-7804-2433)
- Yusuke Sasabuchi (ORCID: https://orcid.org/0000-0001-7828-0549)
- Kayo Ikeda Kurakawa
- Daisuke Inoue (ORCID: https://orcid.org/0009-0005-5842-2147)
- Hideaki Watanabe (ORCID: https://orcid.org/0000-0002-3925-2665)
- Hideo Yasunaga (ORCID: https://orcid.org/0000-0002-6017-469X)
Institutions
- University of Tokyo Health Sciences (JP)
- Toranomon Hospital (JP)
- The University of Tokyo (JP)
Publication Details
- Journal
- Clinical Kidney Journal
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1093/ckj/sfae321
- Citations
- 5
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 1.70
Funders
- Ministry of Health, Labour and Welfare