ArticleJournal of the American Heart Association2026
Impact of Renal Disease Markers on Cardiovascular Disease Risk Prediction When Coronary Calcium Score Is Known.
Article in Journal of the American Heart Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
6 authors.
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Abstract
backgroundMarkers 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 <60 mL/minute per 1.73 m
methodsThe 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.
resultsUACR and albuminuria were significantly associated with most study outcomes; eGFR and eGFR<60 were less consistently related. Albuminuria significantly increased disease prediction for heart failure and for total mortality (
conclusionsWhen 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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