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Nutr Metab Cardiovasc Dis ; 34(6): 1427-1437, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38503617

ABSTRACT

BACKGROUND AND AIM: Increased consumption of ultra-processed foods has been linked to both mortality and cardiovascular risk. Copeptin levels may serve as potential risk markers for cardiovascular death and events. This cross-sectional analysis seeks to assess the potential correlation between the intake of ultra-processed foods and copeptin levels in outpatients diagnosed with type 2 diabetes, based on estimates of cardiovascular risk. METHODS AND RESULTS: Outpatients underwent clinical and nutritional assessments. Dietary information was gathered using a validated quantitative food frequency questionnaire, and the consumption of all foods, beverages, and food products was assessed according to the NOVA food classification system. Fasting plasma-EDTA samples were collected and preserved at -80 °C. Plasma copeptin measurements were analyzed using an enzyme-linked immunosorbent assay based on the competition principle. Participants were categorized into two groups: high risk and very high risk, based on cardiovascular risk calculated by the HEARTS calculator. A total of 190 participants were included in the evaluation, with an average age of 60 ± 9 years, glycated hemoglobin of 8.4 ± 1.4%, and a diabetes duration of 11 (5-19) years. Patients at a very high cardiovascular risk exhibited higher plasma copeptin levels compared to those at high cardiovascular risk. Notably, 92.1% of patients reported consuming more than 10% of total energy intake from ultra-processed foods, although this proportion did not differ between the two groups. CONCLUSION: This patient sample reported elevated consumption of ultra-processed foods; nevertheless, the correlation between ultra-processed foods and plasma copeptin has not been substantiated.


Subject(s)
Biomarkers , Cardiovascular Diseases , Diabetes Mellitus, Type 2 , Glycopeptides , Heart Disease Risk Factors , Humans , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/epidemiology , Cross-Sectional Studies , Glycopeptides/blood , Middle Aged , Male , Female , Aged , Biomarkers/blood , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/blood , Cardiovascular Diseases/etiology , Risk Assessment , Fast Foods/adverse effects , Nutrition Assessment , Risk Factors , Eating
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