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Traditional and Modern Predictors of Atherosclerotic Cardiovascular Disease in Patients with T2D and MASLD.

Source: PubMed, NCBI / U.S. National Library of Medicine

Diagnostics (Basel, Switzerland)Vulpescu Diaconu Cosmina-Theodora, Chitu Marius-Costin, Salmen Teodor, et al.Published 5/25/2026Last synced 6/12/2026Status: syncedPMID: 42279474DOI: 10.3390/diagnostics16111607

Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent in patients with type 2 diabetes (T2D) and is associated with increased cardiovascular risk. However, the relative contribution of traditional cardiometabolic risk factors (CMRFs), hepatic fibrosis markers, and antidiabetic therapies to atherosclerosis remains unclear.We conducted a cross-sectional study including 46 patients with T2D and MASLD. Atherosclerotic cardiovascular disease (ASCVD) was defined as the presence of carotid atheromatosis, stroke, peripheral arterial disease, or ischemic heart disease, as assessed by imaging-based parameters. Clinical, metabolic, and treatment-related variables were analyzed, including age, Hemoglobin A1c (HbA1c), lipid profile, hepatic fibrosis indices such as Fibrosis-4 index (FIB-4), and antidiabetic therapies (sodium-glucose cotransporter-2 inhibitors (SGLT2is), glucagon-like peptide-1 receptor agonists (GLP-1 RAs), and insulin). Multivariable regression models and receiver operating characteristic (ROC) curve analyses were used to evaluate associations and discriminative performance.Traditional CMRFs were more strongly associated with ASCVD than hepatic fibrosis markers or antidiabetic therapies. Age was associated with ASCVD in several exploratory models, although this association was attenuated in the fully adjusted model. HbA1c showed the highest discriminative performance (AUC 0.77), indicating that chronic glycemic exposure is a major determina

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent in patients with type 2 diabetes (T2D) and is associated with increased cardiovascular risk. However, the relative contribution of traditional cardiometabolic risk factors (CMRFs), hepatic fibrosis markers, and antidiabetic therapies to atherosclerosis remains unclear.We conducted a cross-sectional study including 46 patients with T2D and MASLD. Atherosclerotic cardiovascular disease (ASCVD) was defined as the presence of carotid atheromatosis, stroke, peripheral arterial disease, or ischemic heart disease, as assessed by imaging-based parameters. Clinical, metabolic, and treatment-related variables were analyzed, including age, Hemoglobin A1c (HbA1c), lipid profile, hepatic fibrosis indices such as Fibrosis-4 index (FIB-4), and antidiabetic therapies (sodium-glucose cotransporter-2 inhibitors (SGLT2is), glucagon-like peptide-1 receptor agonists (GLP-1 RAs), and insulin). Multivariable regression models and receiver operating characteristic (ROC) curve analyses were used to evaluate associations and discriminative performance.Traditional CMRFs were more strongly associated with ASCVD than hepatic fibrosis markers or antidiabetic therapies. Age was associated with ASCVD in several exploratory models, although this association was attenuated in the fully adjusted model. HbA1c showed the highest discriminative performance (AUC 0.77), indicating that chronic glycemic exposure is a major determinant of vascular disease in this cohort. In contrast, FIB-4 was not associated with ASCVD and did not improve model performance. Antidiabetic therapies, including SGLT2i and GLP-1 RAs, were not independently associated with ASCVD. Insulin therapy was more frequent among patients with ASCVD, but was not independently associated after adjustment.In patients with T2D and MASLD, ASCVD appears to be associated with traditional CMRFs, particularly chronic glycemic exposure, rather than hepatic fibrosis markers or treatment status. These findings highlight the central role of metabolic control in cardiovascular risk and suggest that the contribution of liver-related markers and therapeutic interventions may be more relevant in longitudinal settings.

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