Interpretable machine learning of non-traditional lipid indices for diagnostic classification of CHD in patients with comorbid MASLD and T2DM: a multicenter stu... (opens in new tab)

BackgroundPatients with comorbid metabolic dysfunction-associated steatotic liver disease (MASLD) and type 2 diabetes mellitus (T2DM) have a significantly heightened risk for coronary heart disease (CHD). Conventional lipid profiles often underestimate residual cardiovascular risk. This study identifies valuable non-traditional lipid indicators and develops an interpretable machine learning framework for CHD identification in this population.MethodsThis multicenter retrospective study analyze...