What question did this study set out to answer?

To investigate how renal markers eGFR and UACR affect cardiovascular disease risk prediction when coronary calcium score is available.

February 2, 2026Open Access

Impact of Renal Disease Markers on Cardiovascular Disease Risk Prediction When Coronary Calcium Score Is Known

Key Points

To investigate how renal markers eGFR and UACR affect cardiovascular disease risk prediction when coronary calcium score is available.
Analyzed 6707 participants without clinical cardiovascular disease
Utilized Cox proportional hazards models to determine associations
Compared prediction models with and without renal function variables
UACR and albuminuria were significantly linked to cardiovascular outcomes
Albuminuria notably enhanced predictions for heart failure and total mortality
In participants over 65 and those with diabetes, UACR and albuminuria improved prediction for multiple outcomes.

Abstract

Background Markers of renal function have been added to the Predicting Risk of Cardiovascular Disease Events and Systematic Coronary Risk Evaluation cardiovascular risk calculators to enhance risk prediction. Here we examine the role of estimated glomerular filtration (eGFR) and urine albumin creatinine ratio (UACR)—and related dichotomous cut points (eGFR 65 years of age, and for all outcomes in participants with diabetes. Conclusions When coronary artery calcium is known, albuminuria improves heart failure prediction. Albuminuria and UACR each improve total mortality prediction as well. UACR and albuminuria improve prediction for all outcomes in people with diabetes.

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