Investigation of end-stage kidney disease risk prediction in an ethnically diverse cohort of people with type 2 diabetes: use of kidney failure risk equation
Although derived for predicting KF, KFRE also demonstrated good discrimination for ESKD outcome. Further studies are needed to identify variables/biomarkers that may improve KFRE's performance/calibration and to aid the development of other predictive models to enable early identification of people at risk of advanced stages of CKD prior to onset of KF.
Authors
- Nikolaos Fountoulakis (ORCID: https://orcid.org/0000-0002-5751-7575)
- Janaka Karalliedde (ORCID: https://orcid.org/0000-0002-2617-8320)
- Anastasios Mangelis (ORCID: https://orcid.org/0000-0002-9452-9612)
- Julian Collins
- Aïcha Goubar (ORCID: https://orcid.org/0009-0003-0458-5317)
- Salma A. Ayis (ORCID: https://orcid.org/0000-0002-0449-869X)
- Stephen Thomas
Institutions
- King's College London (GB)
- British Heart Foundation (GB)
- King's College Hospital NHS Foundation Trust (GB)
- Kings Health Partners (GB)
Publication Details
- Journal
- BMJ Open Diabetes Research & Care
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1136/bmjdrc-2024-004282
- Citations
- 1
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 0.34
Funders
- British Heart Foundation
- Guy's and St Thomas' Charity