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CKD Stage & Risk Classification (KDIGO)

Combine eGFR and albuminuria into the KDIGO G/A classification and risk heat map.

For healthcare professionalsKidneyv1.0.0

For healthcare professionals / clinical use. Not a self-diagnosis tool.

Your measurements

mL/min/1.73 m²
Albuminuria category

Calculated on your device. Nothing is sent to a server.

Your result will appear here

Enter your measurements, then press Calculate.

Methodology

KDIGO 2024 CGA classification and prognosis heat map

G category from eGFR × A category from ACR → risk colour

KDIGO classifies CKD by cause, GFR category and albuminuria category. The heat map shows the relative risk of progression and complications.

Who it is for
Adults with kidney markers persisting for more than 3 months.
Version
1.0.0

How this calculator works

Where the formula comes from

  • KDIGO 2024 classifies chronic kidney disease by Cause, GFR category and Albuminuria category (the CGA system); this tool covers the G and A categories, not the cause.[1]
  • The KDIGO prognosis heat map was introduced in the 2012 guideline. In 2023 the CKD Prognosis Consortium examined how eGFR and albuminuria relate to adverse outcomes using data from more than 27 million people in 114 cohorts.[2][1]

The inputs

  • GFR categories are G1 ≥ 90, G2 60–89, G3a 45–59, G3b 30–44, G4 15–29 and G5 < 15 mL/min/1.73 m².[1]
  • Albuminuria categories by urine albumin-to-creatinine ratio are A1 below 30 mg/g (below 3 mg/mmol), A2 30–300 mg/g (about 3–30 mg/mmol) and A3 above 300 mg/g (above 30 mg/mmol).[1]

Versions and alternatives

  • KDIGO 2024 recommends creatinine-based eGFR for initial assessment, and the combined creatinine–cystatin C eGFR when cystatin C is available.[1]

Where accuracy falls (published evidence)

  • CKD requires abnormalities lasting at least three months; a single abnormal eGFR or ACR may reflect acute kidney injury rather than CKD.[1]
  • The cause of kidney disease must be evaluated separately; the G and A categories alone do not establish it.[1]

What guidelines say

  • KDIGO 2024 suggests using validated risk equations, such as the Kidney Failure Risk Equation, alongside the heat map to estimate an individual's absolute risk of kidney failure.[1]

Sources

  1. Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int. 2024;105(4S):S117–S314. doi:10.1016/j.kint.2023.10.018
  2. Writing Group for the CKD Prognosis Consortium; Grams ME, Coresh J, Matsushita K, et al. Estimated glomerular filtration rate, albuminuria, and adverse outcomes: an individual-participant data meta-analysis. JAMA. 2023;330(13):1266–1277. doi:10.1001/jama.2023.17002

Compiled from the published sources above. Every statement was agreed independently by three AI research tools (Claude, ChatGPT, DeepSeek) and its source verified in PubMed or Crossref by the Hakeemly editorial team. Not reviewed by a doctor unless stated. Agreed on

Limitations

  • CKD requires abnormalities present for more than 3 months; one result is not enough.
  • Cause of kidney disease is not captured here.

References

  1. KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney Int. 2024;105(4S):S117–S314. doi:10.1016/j.kint.2023.10.018

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