Jeremy

Jeremy is 29 years old and has been diagnosed with ADPKD by a kidney ultrasound. Jeremy is at risk for rapid disease progression, as indicated by the following risk factors: being male, urologic events before age 35, and family history of ESRD by age 58. 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

  • Age29
  • Height6'1"
  • Weight179 lbs
  • SexM
  • Race (AA/O)O

Baseline Assessment2-6

  • Serum creatinine (mg/dL)1.21
  • eGFR (mL/min/1.73m2)80.4
    1
  • Ultrasound kidney length (cm)Not obtained
  • Hypertension before 35?Not yet observed
  • Urological event before 35?Yes
  • Family members with ESRD?Yes (50 yrs)
    3
  • MutationsNot available
  • PROPKD ScoreNot available
  • htTKV (mL/m)Perform MRI/CT
  • ADPKD Imaging ClassificationMRI or CT needed
    4

Disease Progression2,3,5-10

htTKV
Normal htTKV range: 150-250Years1720232629323538414447mL/m0500100015002000
eGFR: 80.4 mL/min/1.73m2
CKD 1CKD 2CKD 3CKD 4CKD 5/ESRDYears1720232629323538414447mL/min/1.73m²0102030405060708090100
2
17
20
23
26
29
32
35
38
41
44
47

Years

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

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

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. Nephrol Dial Transplant. 2016;31:337-348.

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. 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.

5. 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.

6. Imaging classification of ADPKD: a simple model for selecting patients for clinical trials. http://www.mayo.edu/research/documents/pkd-center-adpkd-classification/doc-20094754. Accessed January 09, 2019.

7. 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.

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. https://pkdcharity.org.uk/about-adpkd/just-diagnosed/fast-facts-about-adpkd Accessed January 09, 2019.

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