Predicting short-term composite outcome risk in heart failure patients using a machine learning model incorporating UHR: a retrospective cohort study (opens in new tab)

IntroductionThe uric acid-to-high-density lipoprotein cholesterol ratio (UHR) is a composite biomarker that reflects both oxidative stress and antioxidant imbalance. Previous studies have linked UHR to poor prognosis in heart failure (HF), but the evidence relies largely on traditional regression models; it lacks independent validation and has not been integrated into modern, individualized risk-prediction tools. This study aimed to independently validate the association between UHR and a 180...