The next step in chronic kidney disease staging: individualized risk prediction

Chronic kidney disease (CKD) stage-based classification has been used as a framework for clinical practice, public health, and research for the last 20 years.1 Categorization of risk, utilizing estimated glomerular filtration rate (eGFR) and proteinuria measurement, has become an important part of CKD’s identification and management.2 More advanced stages of CKD are associated with higher risk of end-stage kidney disease, cardiovascular mortality, and all-cause mortality.2 Within this article, we briefly describe the current CKD staging system and its limitations, and we propose the addition of individualized risk estimation to supplement the system.