AUTHOR=Han Yong , Chen Cheng , Qin Suyuan , Liu Dongli , Pang Yusheng TITLE=Uric acid elevation in pediatric patients with dilated cardiomyopathy and prediction of mortality JOURNAL=Frontiers in Cardiovascular Medicine VOLUME=Volume 11 - 2024 YEAR=2024 URL=https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2024.1404755 DOI=10.3389/fcvm.2024.1404755 ISSN=2297-055X ABSTRACT=Background and Aims: Pediatric dilated cardiomyopathy (DCM) is a primary cause of heart failure, highlighting the urgent need for effective prognostic markers. Methods:We performed a single-center retrospective study involving 145 children diagnosed with DCM, with a median follow-up period of 4.0 months (interquartile range: 6.2-108.4 months). The relationship between serum uric acid (SUA) levels and all-cause mortality was assessed using Kaplan-Meier survival curves, multivariate Cox proportional hazard models, and restricted cubic spline (RCS) models. Results: Of the 145 children with DCM (median age 5.7 years; 61.4% male), 45 (31%) died within 1 year, and 65 (44.8%) died during the maximum follow-up period. In adjusted multivariate Cox regression models, each log2 SUA increase was linked to a higher risk of 1-year mortality (hazard ratio [HR], 2.66; 95% confidence interval [CI], 1.41-5.01) and overall mortality (HR, 1.97; 95% CI, 1.15-3.37). The highest SUA tertile showed a greater risk of mortality at 1 year (HR, 4.26; 95% CI: 1.5-12.06) and during the maximum follow-up (HR, 2.56; 95% CI: 1.06-6.16) compared with the lowest tertile.RCS models indicated an inverted L-shaped association between baseline SUA levels and overall mortality risk, with age-stratified analyses revealing a linear and U-shaped relationship in children ≤10 and >10 years, respectively. Further age-stratified analyses highlighted the modifying effect of age on this association. Conclusion: Elevated SUA levels are a significant predictor of mortality in pediatric DCM, with a pronounced impact on children under 10 years of age. Therefore, SUA levels could serve as potential biomarkers for risk stratification in this population.