Relationship Between 8-iso-prostaglandin-F _2α and Predicted 10-Year Cardiovascular Risk in Hypertensive Patients

Background: 8-iso-prostaglandin-F _2α (8-iso-PGF _2α) is a recognized marker of oxidative stress. Previous studies suggested that 8-iso-PGF _2α plays an important role in the pathogenesis of hypertension and cardiovascular (CV) diseases. However, limited data exist on the prognostic role of 8-iso-PGF _2α in hypertensive patients undergoing primary prevention. The aim of this study was to assess the relationship between 8-iso-PGF _2α and 10-year CV risk, as predicted by validated equations in hypertension patients without CV diseases. Materials and methods: A total of 432 individuals aged 40–75 years were enrolled. Plasma 8-iso-PGF _2α was assessed through the ELISA method. CV risk was calculated by using the Framingham Risk Score (Fr-S) and the Atherosclerosis Cardiovascular Disease Risk Score (ASCVD-S). Low, moderate, or high CV risks were defined according to validated cutoffs. Results: Individuals with higher CV risk had significantly greater 8-iso-PGF _2α values compared to those with low or moderate CV risk (p < 0.001). 8-iso-PGF _2α correlated strongly with Fr-S and ASCVD-S in the entire population and in patients with normal renal function (all p < 0.001) but not in patients with eGFR < 60 mL/min/1.73 m ². These associations remained significant after adjustment for traditional factors included in the CV risk equations in the overall population and in patients with normal renal function. The 8-iso-PGF _2α cutoffs that best distinguished patients with high CV risk were 310 pg/mL for Fr-S and 264 pg/mL for ASCVD-S in the overall population, with significant differences between the groups divided by eGFR (all p < 0.001). Conclusions: These findings highlight the potential utility of 8-iso-PGF _2α as a biomarker for refining cardiovascular risk stratification in hypertensive patients, particularly those with preserved renal function. Future studies should explore its prognostic value in longitudinal cohorts and assess its integration into clinical risk models to enhance early prevention strategies for cardiovascular disease.