Review of the Kidney Failure Risk Calculator (KFRE)

The kidney failure risk equation (KFRE) predicts the 2- and 5-year risk of kidney failure in stable patients with chronic kidney disease (CKD) stage 3-5. The 4 and 8-variable models were developed and first validated in two independent Canadian cohorts with CKD already referred to nephrology and where kidney failure was the time to initiation of chronic dialysis or kidney transplantation. Accurately estimated glomerular filtration rate (GFR) and albuminuria (uACR, spot urine albumin: creatinine ratio) are essential components. The model has since been validated in nearly 1 million individuals from over 30 countries and shown excellent discrimination with a C-statistic ranging between 0.88-0.91. The KFRE complements existing eGFR and albuminuria-based CKD staging and risk classification by providing individualized kidney failure risk estimates. It can help improve prognostic communication and guide broader management decisions specifically, referral to nephrology, multidisciplinary CKD management and kidney replacement therapy planning. It should be re-evaluated on subsequent visits as risk may change based on interval exposures and treatment. While model discrimination has been excellent across diverse cohorts, some studies suggest it may need recalibration in certain groups and CKD etiologies.

Authors

Institutions

Publication Details

Journal
Evidence to Action Official Journal of MDCalc
Published
2026-09-04
DOI
https://doi.org/10.65357/001c.168218
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Review of the Kidney Failure Risk Calculator (KFRE)

Abinet M. Aklilu, Enock Arthur
Evidence to Action Official Journal of MDCalc
Chronic Kidney Disease and Diabetes
article

Review of the Kidney Failure Risk Calculator (KFRE)

Abinet M. Aklilu, Enock Arthur
article en

Abstract

The kidney failure risk equation (KFRE) predicts the 2- and 5-year risk of kidney failure in stable patients with chronic kidney disease (CKD) stage 3-5. The 4 and 8-variable models were developed and first validated in two independent Canadian cohorts with CKD already referred to nephrology and where kidney failure was the time to initiation of chronic dialysis or kidney transplantation. Accurately estimated glomerular filtration rate (GFR) and albuminuria (uACR, spot urine albumin: creatinine ratio) are essential components. The model has since been validated in nearly 1 million individuals from over 30 countries and shown excellent discrimination with a C-statistic ranging between 0.88-0.91. The KFRE complements existing eGFR and albuminuria-based CKD staging and risk classification by providing individualized kidney failure risk estimates. It can help improve prognostic communication and guide broader management decisions specifically, referral to nephrology, multidisciplinary CKD management and kidney replacement therapy planning. It should be re-evaluated on subsequent visits as risk may change based on interval exposures and treatment. While model discrimination has been excellent across diverse cohorts, some studies suggest it may need recalibration in certain groups and CKD etiologies.

Evidence to Action Official Journal of MDCalcVol. 032026(01)
Yale University (US), Quinnipiac University (US)
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 10%
Chronic Kidney Disease and Diabetes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.