AUTHOR=Tang Yuqi , Song Baiqing , Hidru Tesfaldet H. , Yang Yiheng , Liu Fei , Li Jiatian , Li Chenglin , Wen Yuhang , Yang Zhongzheng , Chen Ying , Yang Xiaolei , Xia Yunlong 

TITLE=Combined predictive value of uric acid and serum lipid for stroke events in non-valvular atrial fibrillation patients

JOURNAL=Frontiers in Cardiovascular Medicine

VOLUME=Volume 12 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2025.1569904

DOI=10.3389/fcvm.2025.1569904

ISSN=2297-055X

ABSTRACT=BackgroundSerum uric acid (SUA) and lipid metabolism disorders are closely associated with atrial fibrillation (AF) and its prognosis. In patients with non-valvular AF (NAF), we evaluated the combined predictive value of SUA, triglycerides (TG), and low-density lipoprotein (LDL) for stroke to enhance stroke risk prediction and management.Methods and resultsWe included 3,176 NAF patients treated at the First Affiliated Hospital of Dalian Medical University from January 2020 to December 2023. We analyzed SUA concentration and lipid profile, along with relevant clinical data, to assess their impact on the occurrence of ischemic stroke (IS) in NAF patients. Due to gender differences in TG (1.39 mmol/L vs. 1.28 mmol/L for males, P = 0.031;1.57 mmol/L vs. 1.28 mmol/L for females, P = 0.001) and SUA levels (424 µmol/L vs. 397 µmol/L for males, P = 0.008; 361 µmol/L vs. 328 µmol/L for females, P = 0.004), we determined the thresholds for SUA (400 µmol/L in males and 330 µmol/L in females) and TG (1.28 mmol/L in males and 1.29 mmol/L in females) that predict stroke events in NAF patients by restricted cubic spline curves. Kaplan–Meier cumulative risk analysis indicates that a gender-based combined assessment of SUA and TG enhances stroke risk stratification in NAF patients. Compared to patients with low levels of SUA and TG, those with high levels of these biomarkers have a higher risk of IS (HR = 1.98). On multivariable Cox regression analysis with potential confounders, elevated SUA and low-density lipoprotein (LDL) levels were significantly associated with an increased risk of stroke. In summary, we developed the CHA2DS2-VASc+SUA+TG+LDL stroke risk prediction model. Its clinical predictive value was assessed using Harrell's C-statistic (C-index), integrated discrimination improvement (IDI) statistics, and net reclassification index (NRI) analysis.ConclusionsSUA, TG and LDL were strongly associated with stroke for NAF. The combination of SUA, TG, and LDL effectively enhanced the predictive value of the CHA2DS2-VASc score for IS.