Health & Fitness
Kidney Function Risk Screening Calculator
Place entered eGFR and urine albumin-to-creatinine ratio in a G-by-A context matrix, then keep chronicity, diabetes, hypertension, cardiovascular disease, and prior acute kidney injury visible as separate follow-up signals.
G-by-A risk context
eGFR category crossed with urine albumin category
The marker sits in a full kidney-risk grid. A separate chronicity ring prevents one abnormal result from being displayed as confirmed chronic disease.
Signal inventory
Why each entered factor changes follow-up attention
The register keeps filtration, albuminuria, persistence, and comorbid risk signals independent rather than blending them into a diagnostic score.
| Signal | Entered evidence | Screen meaning | What it cannot establish | Next discussion |
|---|
Screen setup
Enter both kidney tests and the timeline behind them
- Use the laboratory-reported eGFR and urine ACR.
- Record how long the abnormality has been documented.
- Mark common high-risk conditions separately.
- Do not infer cause from the matrix position.
- Use the result to organize a clinician conversation and confirmatory testing.
Two axes, not one diagnosis
Normal-looking eGFR can coexist with important albuminuria
Filtration and albumin leakage carry different information. A page based only on eGFR can miss an elevated urine ACR; a page based only on albumin can miss reduced filtration.
The matrix organizes risk context. It does not replace urinalysis, imaging, blood pressure, medication review, clinical history, repeat testing, or professional diagnosis.
Screening classification
Cross two laboratory axes, then test persistence separately
eGFR maps to G1-G5 and urine ACR maps to A1-A3. The cell color is context from the KDIGO framework. Persistence of at least three months is displayed separately because chronicity is not created by color.
Detailed calculation process and general formulas
G = category(eGFR)A = A1 if UACR<30; A2 if 30<=UACR<300; A3 if UACR>=300cell = matrix(G,A)chronic = I(months_persistent>=3)factor_count = diabetes + hypertension + CVD + prior_AKISymbols, meanings, and units
- G
- glomerular filtration categoryG1-G5
- A
- albuminuria categoryA1-A3
- UACR
- urine albumin-to-creatinine ratiomg/g
- chronic
- entered duration reaches three monthsyes/no
- factor_count
- count of entered high-risk conditions0-4
Screening safeguards
Three questions the colored cell cannot answer
A matrix is useful only when its boundaries are explicit.
Is it chronic?
—The duration input shows whether three months of persistence has been entered.
What caused it?
The model does not identify diabetes, hypertension, obstruction, inflammation, medicine effect, or another cause.
What treatment is indicated?
Treatment depends on diagnosis, full clinical context, contraindications, and shared decisions.
Decision takeaway: Use the cell to prioritize evaluation, never to self-diagnose or self-treat.
Applied decisions
Why both axes and persistence matter
eGFR above 60 with high urine ACR
Filtration category looks preserved but albuminuria is elevated.
What the result clarifies: The matrix still moves into a higher-attention cell.
One low eGFR during acute illness
The value has not persisted for three months.
What the result clarifies: The chronicity ring remains open even when the G category is reduced.
Worked default scenario
Current-input substitution and reconciliation
Method references
Evidence used to frame this specific model
Scope and limitations
This is an educational screening organizer, not a diagnosis or kidney-failure risk calculator. Acute changes, pregnancy, children, dialysis, transplant, and uncommon kidney disorders need dedicated clinical assessment.
Kidney Function Risk Screening Calculator | eGFR and Urine ACR Matrix FAQ
Does a colored cell prove CKD?
No. Chronicity or other kidney-damage evidence and clinical assessment are required.
Why is urine ACR 30 important?
It is a widely used albuminuria threshold, but repeat confirmation and context matter.
Can dehydration affect the result?
Acute illness and volume status can affect creatinine and require careful interpretation.
Is this the Kidney Failure Risk Equation?
No. It does not estimate two- or five-year kidney-failure probability.