Kidney Failure Risk Equation (4-variable)
What is the 2- and 5-year risk of kidney failure in CKD G3–G5?
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About this tool
Four-variable equation (age, sex, eGFR, urine ACR) predicting treated kidney failure, with North American and non-North American calibrations.
Intended use
Adults with CKD G3–G5 (eGFR < 60 mL/min/1.73 m²), e.g. to time nephrology referral and planning.
Outcome
Treated kidney failure (dialysis or transplantation)
Time horizon
2 and 5 years
Derivation population
Canadian referred CKD G3–G5 cohorts (derivation 2011); validated in 31 multinational cohorts across 4 continents (2016).
Do not use in
AKI, eGFR ≥ 60 mL/min/1.73 m², kidney transplant recipients.
Limitations
- Does not account for the competing risk of death, so risk may be overestimated in older or multimorbid patients.
- Non-North American populations need the recalibrated baseline.
Clinical problems
Evidence
Evidence level
Strong evidence
Derived and externally validated in multiple cohorts (including prospective studies) and incorporated into major clinical guidelines. Methodology
Guideline status
KDIGO 2024 CKD guideline recommends validated risk equations such as the KFRE to guide referral and planning.
Geographic applicability
North America (original calibration); recalibrated for other regions.
Validation studies
CKD G3–G5, 31 cohorts
Calibration adequate in North American cohorts; the original equation overestimated risk in some non-North American cohorts, corrected by lowering baseline risk by 32.9% (2 years) and 16.5% (5 years).
References
- Original publicationTangri N, Stevens LA, Griffith J, et al. A predictive model for progression of chronic kidney disease to kidney failure. JAMA 2011;305:1553-1559. Find on PubMed (opens in a new tab)
- Validation studyTangri N, Grams ME, Levey AS, et al. Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis. JAMA 2016;315:164-174. Find on PubMed (opens in a new tab)
- Validation studyMajor RW, et al. The Kidney Failure Risk Equation for prediction of end stage renal disease in UK primary care: An external validation and clinical impact projection cohort study. PLoS Med 2019;16:e1002955. Find on PubMed (opens in a new tab)
Version history
| Version | Formula | Effective | Reviewer | Changes |
|---|---|---|---|---|
| v1.0.0 | Tangri 4-variable; coefficients per Major 2019 S1 Text; NA and non-NA baselines | 2026-10-03 | — | Initial implementation with reference test vectors. |
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Clinical decision support only. Interpret results in the context of the individual patient and current guidance; HumanPulse does not replace professional medical judgment.