Dynamic Renal Staging Pathway

KDIGO AKI Criteria & CKD-EPI 2021 Two-Dimensional Risk Stratification · v1.2
Diagnostic Cascade: Select the clinical trajectory. The engine applies strict KDIGO criteria for Acute Kidney Injury (AKI) or the modern race-free CKD-EPI 2021 equation combined with Albuminuria for Chronic Kidney Disease (CKD) staging, while providing legacy Cockcroft-Gault clearances for drug dosing.

1. Target Pathology

2. Demographics & Serum Biomarkers

3. Albuminuria Profiling (Optional)

Academic Pearls & Pathophysiology

1. Pathophysiology: Why Two-Dimensional CKD Staging?

Historically, CKD was staged only by eGFR. Modern nephrology requires a two-dimensional approach (G-Stage + A-Stage). The "Why": Albuminuria indicates active glomerular endothelial damage and podocyte effacement. A patient with a perfectly normal eGFR of 90 (G1) but massive macroalbuminuria (A3) is at a significantly higher risk for rapid progression to End-Stage Renal Disease (ESRD) and sudden cardiovascular death than a patient with an eGFR of 50 (G3a) but no albuminuria (A1).

2. KDIGO Prognostic Risk Heatmap

Practice advisory, KDIGO 2024. The KDIGO 2024 CKD guideline replaced the 2012 edition in March 2024. Two points bear on how this output should be read. First, where cystatin C is available, KDIGO now asks that the GFR category be assigned from the combined creatinine and cystatin C equation (eGFRcr-cys) rather than creatinine alone, because the combined equation separates the risk stages more reliably. This engine computes CKD-EPI 2021 creatinine-only, which remains correct and is what KDIGO expects when cystatin C has not been measured; treat a creatinine-only stage near a category boundary as provisional and confirm it with cystatin C where the result would change management. Second, KDIGO 2024 moves the emphasis from the staging grid alone towards individual risk prediction, using the Kidney Failure Risk Equation to estimate 2 and 5 year risk of kidney failure. The heatmap below still holds, but two patients in the same cell can carry materially different absolute risk.
eGFR Category (G-Stage) A1 (< 30 mg/g or mg/24h) A2 (30-300 mg/g or mg/24h) A3 (> 300 mg/g or mg/24h)
G1 (≥ 90)Low RiskModerate RiskHigh Risk
G2 (60-89)Low RiskModerate RiskHigh Risk
G3a (45-59)Moderate RiskHigh RiskVery High Risk
G3b (30-44)High RiskVery High RiskVery High Risk
G4 (15-29)Very High RiskVery High RiskVery High Risk
G5 (< 15)Very High RiskVery High RiskVery High Risk

3. Illness Scripts: True AKI vs. Pseudo-AKI

True Acute Kidney Injury (AKI)
Pathophysiology: Actual decline in Glomerular Filtration Rate (GFR) due to pre-renal (hypovolaemia), intrinsic (ATN, nephrotoxins), or post-renal (obstruction) causes.
Clinical Markers: Rising Serum Creatinine accompanied by rising BUN, electrolyte derangements (hyperkalaemia), and usually altered urine output.
Diagnostic Step: Evaluate Urinary Indices (FeNa, FeUrea) to differentiate pre-renal from intrinsic.
Pseudo-AKI (Creatinine Secretion Blockade)
Pathophysiology: Serum creatinine rises because specific drugs block its tubular secretion via the OCT2/MATE1 transporters in the proximal tubule. Actual GFR remains completely normal.
Culprit Medications: Trimethoprim (in Cotrimoxazole), Cimetidine, Fenofibrate, Cobicistat.
Clinical Markers: Isolated rise in Creatinine (usually max 0.3 - 0.5 mg/dL bump). BUN remains normal. No electrolyte derangements. Resolves entirely upon drug cessation.
[CLINICAL CAUTION]: Do not stop beneficial therapy or reflexively order dialysis for isolated Pseudo-AKI.

4. Indian Clinical Context: The Nephrotoxin Reality

Practice Pearl: In Indian clinical settings, a massive proportion of unexplained acute-on-chronic renal failure is driven by unrestricted over-the-counter (OTC) NSAID abuse (e.g., Diclofenac, Aceclofenac) and unregulated alternative medicines/Ayurvedic *Bhasmas* containing heavy metals. Always take a meticulous drug history. NSAIDs constrict the afferent arteriole, obliterating renal perfusion in vulnerable patients.

5. Pharmacokinetics: The Cockcroft-Gault Discrepancy

The Legacy Formula: The Cockcroft-Gault (CG) equation was developed in 1973 before standardised creatinine assays existed. Because it heavily relies on raw body weight in its numerator, it massively overestimates GFR in obese and fluid-overloaded patients.

Why Do We Still Use It? KDIGO strictly recommends CKD-EPI for *staging* disease. However, the FDA and legacy pharmaceutical manufacturers calibrated original drug dosing labels (like Vancomycin or Digoxin) using the CG formula. Therefore, CG must be referenced as a secondary output specifically for pharmacokinetic dose adjustments to prevent toxicity.
Abbreviations: AKI (Acute Kidney Injury) · CKD (Chronic Kidney Disease) · eGFR (Estimated Glomerular Filtration Rate) · UACR (Urine Albumin-to-Creatinine Ratio) · AER (Albumin Excretion Rate) · RRT (Renal Replacement Therapy) · BUN (Blood Urea Nitrogen) · NSAID (Non-Steroidal Anti-Inflammatory Drug) · CrCl (Creatinine Clearance)
Algorithm References & Evidence Base
  1. Inker LA, et al. New Creatinine- and Cystatin C–Based Equations to Estimate GFR without Race. N Engl J Med. 2021;385(19):1737-1749.
  2. Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16(1):31-41.
  3. 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. [Current edition; supersedes the 2012 CKD guideline]
  4. Stevens PE, Ahmed SB, Carrero JJ, et al. Executive summary of the KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease: known knowns and known unknowns. Kidney Int. 2024;105(4):684-701.
  5. KDIGO 2012 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney Int Suppl. 2013;3(1):1-150. [Superseded 2024]
  6. KDIGO Clinical Practice Guideline for Acute Kidney Injury. Kidney Int Suppl. 2012;2(1):1-138. [Current for AKI. A KDIGO 2026 AKI and AKD guideline was released for public review in March 2026 and is not yet final; the AKI staging in this engine will be re-checked against it on publication]
  7. Tangri N, Stevens LA, Griffith J, et al. A predictive model for progression of chronic kidney disease to kidney failure (Kidney Failure Risk Equation). JAMA. 2011;305(15):1553-1559.
  8. Indian Society of Nephrology (ISN). Guidelines for Management of CKD in India. Indian J Nephrol.
How to Cite This Tool

AMA Style:
Umakanth S. Dynamic Renal Staging Pathway. MEDiscuss. Published 2026. Accessed .

Vancouver Style:
Umakanth S. Dynamic Renal Staging Pathway [Internet]. MEDiscuss.org; 2026 [cited ]. Available from:

Category Risk Stratification & Diagnostic Algorithms
Specialties Nephrology
Written and maintained by Dr Shashikiran Umakanth.
Last revised: 8 August 2026