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Role of Nutritional Status in Acute Coronary Syndrome Patients with Diabetes
Özlem Seçen1, Muhammed Fuad Uslu2
1Department of Cardiology, Elazığ Fethi Sekin City Hospital, 23280 Elazığ, Turkey.
Abstract:
Background and Objectives: This study aims to investigate the effect of Type 2 diabetes mellitus (DM) on nutritional status in acute coronary syndrome (ACS) patients and its relationship with various metabolic and hematologic parameters. Materials and Methods: A retrospective and cross-sectional design was used to analyze 485 acute coronary syndrome (ACS) patients who underwent angiography at Fethi Sekin City Hospital between 1 January 2020 and 1 January 2025. Clinical data, biochemical parameters (hemogram, glucose, creatinine, uric acid, lactate dehydrogenase (LDH), albumin, and cholesterol levels) were retrospectively analyzed. The Prognostic Nutrition Index (PNI) and CONUT score were calculated manually. Results: A total of 485 patients were included in this study. Patients were divided into two groups: patients with DM (n = 167) and patients without DM (n = 318). Glucose levels (p < 0.001) and triglyceride levels (p = 0.014) were significantly higher in patients with diabetes, while LDL cholesterol and total cholesterol levels were lower (p < 0.01). In addition, hemoglobin (p < 0.001), albumin (p = 0.010), and PNI scores (p = 0.014) were lower in patients with diabetes. Although CONUT scores were higher in patients with diabetes, this difference was not statistically significant (p = 0.267). Significant differences were observed in lipid profile and inflammation parameters in STEMI and NSTEMI subgroups, especially in patients with diabetes. In particular, triglyceride and neutrophil levels were found to be higher in NSTEMI patients among patients with diabetes. Conclusions: The PNI score may be a useful prognostic tool for predicting cardiovascular complications and determining treatment strategies in acute coronary syndrome patients with diabetes mellitus in whom nutritional status, inflammation, and lipid metabolism are significantly correlated.
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