Impact of Renal Disease Markers on Cardiovascular Disease Risk Prediction When Coronary Calcium Score Is Known
Year: 2026
Type: article
Abstract: BACKGROUND: and albuminuria ≥30 mg albumin/gram creatinine)-for prediction of coronary heart disease, cardiovascular disease (CVD) outcomes (CVD mortality, heart failure, stroke, total CVD), and total mortality, using the MESA (Multi-Ethnic Study of Athersclerosis) calculator, which includes coronary artery calcium scores as a predictor in addition to traditional CVD risk factors. METHODS: The study included 6707 participants without clinical CVD with coronary artery calcium scoring. Cox proportional hazards models, adjusted for covariates including coronary artery calcium, were used to gauge the association of UACR, eGFR, albuminuria, and eGFR<60 with outcomes and change in disease prediction by area under the curve compared with models not including renal variables. Prespecified subgroups-age, sex, race or ethnicity, diabetes-were examined. RESULTS: <0.001) but not for other outcomes. When prespecified subgroups were examined, UACR and albuminuria significantly improved prediction for many outcomes in participants >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.
Language: English
Subfield: Nephrology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,810
OpenAlex ID: W7126208100