Frank is 52 years old and has been diagnosed with ADPKD by a kidney ultrasound. Frank is at risk for rapid disease progression, as indicated by the following risk factors: being male, rapid historical eGFR decline*, hypertension before age 35, urologic events before age 35, proteinuria/albuminuria, family history of ESKD by age 58, and TKV greater than expected for age. Let's take a closer look with some prognostic tools to confirm the risk of rapid disease progression and assess how rapidly his disease may progress.1,2

  • Age52
  • Height5'9"
  • Weight181 lbs
  • SexM
  • Race (AA/O)O

Baseline Assessment2-7

  • Serum creatinine (mg/dL)1.5
  • eGFR (mL/min/1.73m2)52.8
  • Ultrasound kidney length (cm)Not obtained
  • Hypertension before 35?Yes
  • Urological event before 35?Yes
  • Family members with ESKD?Yes (58 yrs)
  • MutationsNot available
  • PROPKD ScoreNot available
  • htTKV (mL/m)1,669
  • Other risk factorsProteinuria / albuminuria
  • ADPKD Imaging Classification

    Class 1D: High Risk for eGFR decline

    4.5-6% estimated yearly percentage increase in kidney growth


    MRI/CT SCANSCoronal ViewTransverse View

Disease Progression2-6,8-10

htTKV: 1669.0 mL/m
Normal htTKV range: 150-250Years404244464850525456586062mL/m050010001500200025003000
eGFR: 52.8 mL/min/1.73m2
CKD 1CKD 2CKD 3CKD 4CKD 5/ESRDYears404244464850525456586062mL/min/1.73m²0102030405060708090100eGFR decline greaterthan 5 over 1 yeareGFR decline greaterthan 5 over 1 year


Click on the flags below to walk through an assessment that confirms rapid disease progression risk and assesses how rapidly Frank’s disease may progress

*Confirmed eGFR decline 5 mL/min/1.73 m2 within a year and/or 2.5 mL/min/1.73 m2 per year over a period of five years.2

ADPKD=autosomal dominant polycystic kidney disease; eGFR=estimated glomerular filtration rate; ESKD=end stage kidney disease; TKV=total kidney volume; AA=African American; O=other; PKD=polycystic kidney disease; htTKV=height-adjusted total kidney volume; MRI=magnetic resonance imaging; CT=computed tomography; CKD=chronic kidney disease.

1. Schrier RW, et al. Predictors of autosomal dominant polycystic kidney disease progression. J Am Soc Nephrol. 2014;25:2399-2418.

2. Gansevoort RT, et al. Recommendations for the use of tolvaptan in autosomal dominant polycystic kidney disease: a position statement on behalf of the ERA-EDTA Working Groups on Inherited Kidney Disorders and European Renal Best Practice. Nephrol Dial Transplant. 2016;31(3):337-48.

3. Wetzels JFM, et al. Age- and gender-specific reference values of estimated GFR in caucasians: the Nijmegen biomedical study. Kidney Int. 2007;72:632-637.

4. Irazabal MV, et al. Imaging classification of autosomal dominant polycystic kidney disease: a simple model for selecting patients for clinical trials. J Am Soc Nephrol. 2015;26:160-172.

5. Cheong B, et al. Normal values for renal length and volume as measured by magnetic resonance imaging. Clin J Am Soc Nephrol. 2007;2:38-45.

6. Imaging classification of ADPKD: a simple model for selecting patients for clinical trials. Accessed January 09, 2019.

7. Cornec-Le Gall E, et al. The PROPKD score: a new algorithm to predict renal survival in autosomal dominant polycystic kidney disease. J Am Soc Nephrol. 2016;27(3):942-951.

8. Levey AS, et al. Definition and classification of chronic kidney disease: a position statement from kidney disease: improving global outcomes (KDIGO). Kidney Int. 2005;67:2089-2100.

9. PKD Charity. Fast Facts about ADPKD. The Polycystic Kidney Disease Charity. 2017. Accessed January 09, 2019.

10. Rangan GK, et al. Autosomal dominant polycystic kidney disease: a path forward. Semin Nephrol. 2015;35(6):524-537.

The ADPKDsim website is intended for healthcare professionals and for educational purposes only. The tool and content on this site are not meant to be a substitute for medical judgement and should not be used for diagnosis and/or treatment decisions. Healthcare professionals should use independent judgment when considering these educational resources.