Developing a new albuminuria-free risk prediction equation for kidney failure in patients with chronic kidney disease: retrospective cohort study
The findings of the study indicate that predicting the risk of kidney failure with high accuracy in a general population of patients with chronic kidney disease is possible based on data that are routinely available, without requiring data for the urine albumin to creatinine ratio.
Authors
- Faye Cleary (ORCID: https://orcid.org/0000-0001-8401-2305)
- Rupert Major (ORCID: https://orcid.org/0000-0003-4920-623X)
- D. Nitsch
- Diane Merino (ORCID: https://orcid.org/0000-0001-7669-2339)
Institutions
- University of Leicester (GB)
- Universidad de Alcalá (ES)
- Karolinska Institutet (SE)
- University of Bristol (GB)
- London School of Hygiene & Tropical Medicine (GB)
- Medical Research Council (GB)
Publication Details
- Journal
- BMJ Medicine
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1136/bmjmed-2025-001950
- Citations
- 1
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 34.94
Funders
- Vetenskapsrådet
- Medical Research Council