Novel AI-Driven Model Validated to Predict Risk of Chronic Kidney Disease Progression in Large U.S. Study
Using data from a diverse population of over 4 million U.S. adults, the model was more than 80% accurate in predicting CKD progression over a five-year period.
- Using data from a diverse population of over 4 million U.S. adults, the model was more than 80% accurate in predicting CKD progression over a five-year period.
- These findings were presented in an oral session at the American Society of Nephrology (ASN) Kidney Week conference in Philadelphia, being held from November 1-5, 2023.
- Physicians need novel tools to evaluate risk of CKD progression, which could assist with earlier diagnosis and treatment."
- The Klinrisk model was developed to predict the risk of CKD progression, defined as either a 40% decline in estimated glomerular filtration rate (eGFR) or kidney failure (dialysis, kidney transplant or eGFR below 10 mL/min/1.73 m2).