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Kidney Failure Risk Calculator (KFRE 4-variable, 2- and 5-year risk)

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Understanding the kidney failure risk calculator (KFRE) — concept and principle

The Kidney Failure Risk Equation (KFRE) estimates the chance that an adult with chronic kidney disease (CKD) stage 3–5 will need dialysis or a kidney transplant within 2 or 5 years. This is the four-variable version using age, sex, eGFR and urine albumin-to-creatinine ratio (ACR). It helps decide when to refer to a nephrologist and when to plan for dialysis access or transplantation.

KFRE, 4 variablesKFRE, 4 variables: age 65 · male +0.118 + 0.108, eGFR 35 · ACR 300 +0.124 + 0.256 → 13.5% in 5 years L = 0.605 · 4.5% in 2 yearsKFRE, 4 variablesage 65 · male+0.118 + 0.108eGFR 35 · ACR 300+0.124 + 0.25613.5% in 5 yearsL = 0.605 · 4.5% in 2 years
KFRE, 4 variables: with the default inputs the result is 13.5% in 5 years (L = 0.605 · 4.5% in 2 years).

How it is calculated

L = −0.2201 × (age ÷ 10 − 7.036) + 0.2467 × (male − 0.5642) − 0.5567 × (eGFR ÷ 5 − 7.222) + 0.4510 × (ln ACR − 5.137)

Risk at 2 years = 1 − 0.9750^exp(L); at 5 years = 1 − 0.9240^exp(L)

The principle

The equation is a Cox proportional hazards model developed by Tangri and colleagues and validated in more than 700,000 people worldwide. The linear predictor L measures how far a person's risk factors are from the average patient in the development data: lower eGFR and higher albuminuria raise it strongly. The baseline survival is the chance that an average patient stays off dialysis; raising it to the power exp(L) adjusts it for the individual.

Worked example

Default inputs: age 65, male, eGFR 35, ACR 300 mg/g.

  1. Age term = −0.2201 × (6.5 − 7.036) = +0.118.
  2. Sex term = 0.2467 × (1 − 0.5642) = +0.108.
  3. eGFR term = −0.5567 × (7 − 7.222) = +0.124.
  4. ACR term = 0.4510 × (ln 300 − 5.137) = 0.4510 × 0.567 = +0.256.
  5. L = 0.605; 2-year risk = 1 − 0.975^1.831 = 4.5%; 5-year risk = 1 − 0.924^1.831 = 13.5%.
How Kidney failure risk in 2 years changes with Urine albumin/creatinine ratio (ACR)How Kidney failure risk in 2 years chang…23456775150225300375450600Example: 4.5%Urine albumin/creatinine ratio (ACR)
Each point is the calculator re-run with only “Urine albumin/creatinine ratio (ACR)” changed; the gold point is the default example. Change the inputs above and this chart follows your numbers.
Urine albumin/creatinine ratio (ACR)Kidney failure risk in 2 years
752.4%
1503.3%
2254%
3004.5%
3755%
4505.4%
6006.1%

How to read the result

Where does your result fall?Above 5%35Below 3%3–5%Above 5%Your result: 13.5 % · Above 5%Reference: KDIGO 2024 referral threshold
Where does your result fall?

KDIGO 2024 suggests a 5-year risk of 3–5% as a threshold for referral to a nephrologist, a 2-year risk above 10% for multidisciplinary care and above 40% to start preparing for dialysis or transplant; local practice varies. Outside North America a recalibrated version gives somewhat lower risks.

Common mistakes

Keep in mind: This is not a diagnosis. Discuss kidney disease and treatment plans with your doctor or nephrologist.

Frequently asked questions

Does KFRE include diabetes or blood pressure?

No. Their effect works largely through eGFR and albuminuria.

Is there an eight-variable version?

Yes. It adds calcium, phosphate, bicarbonate and albumin.

Does the result predict death?

No. It predicts kidney failure needing dialysis or transplant, not death from other causes.

Sources: Tangri N et al., "A predictive model for progression of chronic kidney disease to kidney failure", JAMA 2011;305(15):1553–1559 · Tangri N et al., "Multinational assessment of accuracy of equations for predicting risk of kidney failure", JAMA 2016;315(2):164–174 · KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease, Kidney Int 2024;105(4S):S117–S314

Checked 9 Nov 2026. Tangri N et al., “A predictive model for progression of chronic kidney disease to kidney failure”, JAMA 2011;305(15):1553–1559, and “Multinational assessment of accuracy of equations for predicting risk of kidney failure”, JAMA 2016;315(2):164–174 — 4-variable equation and North American baseline survival as published in LOINC panel 85626-0 (codes 85624-5 and 85625-2, © Dr. Navdeep Tangri, used with permission).

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