Association of Systemic Coronary Risk Estimation with Estimated Glomerular Filtration Rate

Objective: Chronic kidney disease (CKD) is a well-established risk factor for cardiovascular disease (CVD). This study aimed to examine the relationship between estimated glomerular filtration rate (eGFR) and the Systematic Coronary Risk Estimation (SCORE) algorithm, which predicts the risk of fatal cardiovascular events. Material and Methods: In this descriptive cross-sectional study, 262 individuals aged 40–70 years were included. The association between various laboratory parameters—including eGFR—and SCORE risk categories was assessed. Results: Based on SCORE values, 94 participants were classified as low risk, 70 as moderate, 20 as high, and 78 as very high risk. A moderate negative correlation was observed between SCORE and eGFR (r = -0.580, p < 0.001). Linear regression analysis showed that urea, creatinine, and eGFR significantly predicted SCORE values (p < 0.05). ROC analysis identified an eGFR cut-off of 94.5 to detect very high CVD risk, with 68.5% specificity and 69.2% sensitivity. Conclusion: These findings demonstrate that a reduced eGFR—even prior to meeting diagnostic criteria for CKD—is associated with increased cardiovascular risk. Incorporating kidney function assessment into routine cardiovascular risk evaluation may improve early identification of high-risk individuals. Timely intervention could help prevent or delay the progression of both CKD and CVD.