Chronic kidney disease: towards a risk-based approach.

Area of Science:

• Nephrology
• Epidemiology

Background:

• Chronic kidney disease (CKD) is a global health concern affecting 8-16% of adults.
• CKD encompasses diverse conditions with varied risks, necessitating effective risk stratification for management.

Purpose of the Study:

• To evaluate the utility of updated CKD classification and risk prediction formulas for end-stage kidney disease (ESKD).
• To emphasize a risk-based approach for managing CKD patients and preventing ESKD.

Main Methods:

• Utilizing the CKD Epidemiology Collaboration (CKD-EPI) equation for estimated glomerular filtration rate (eGFR) over the MDRD equation.
• Incorporating cystatin C as an alternative GFR measure.
• Applying a new CKD classification system including GFR and albuminuria.
• Using a validated formula incorporating age, gender, eGFR, and albuminuria to predict ESKD risk.

Main Results:

• The CKD-EPI equation reduces CKD over-diagnosis compared to MDRD.
• A new classification system and validated formula aid in stratifying CKD patient risk for ESKD.
• A risk-based approach can optimize treatment allocation for CKD patients.

Conclusions:

• Updated GFR estimation and classification systems improve CKD risk stratification.
• Predictive formulas for ESKD risk facilitate personalized clinical management.
• A risk-based strategy ensures timely intervention for high-risk individuals while minimizing unnecessary treatments for low-risk patients.