Analysis identifies lipid markers as CVD risk predictors in CKD patients, suggesting machine learning methods enhance predictive accuracy.
Key Points
In CKD patients, TC, LDL-C, and ApoB serve as independent predictors of cardiovascular disease risk, enhancing risk stratification.
The study evaluated 2,696 participants, revealing that LDL-C emerged as the best indicator of cardiovascular risk among lipid markers.
Analysis employed multivariate logistic regression and machine learning models to assess relationships between various lipid markers and cardiovascular disease.
Integration of lipid markers into predictive models may facilitate timely identification of CKD patients at high cardiovascular risk.