1. Investigation of differences between chronological and vascular age in persons with multiple sclerosis.
- Author
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Gorica D Maric, Tatjana D Pekmezovic, Olivera S Tamas, Nikola D Veselinovic, Maja S Budimkic, Aleksa L Jovanovic, Sarlota K Mesaros, and Jelena S Drulovic
- Subjects
Medicine ,Science - Abstract
ObjectiveTo determine vascular age (VA) in a cohort of persons with multiple sclerosis (PwMS) in Belgrade, Serbia, and to assess the difference between chronological age (CA) and VA, in this population.Material and methodsA case-control study was conducted at the Clinic of Neurology, University Clinical Center of Serbia in Belgrade. Study participants (n = 274) were recruited during regular outpatient visits. Demographic and clinical characteristics including the presence of CVD comorbidities of PwMS were collected. Data were obtained using a questionnaire, designed and adapted for the study purposes. Additionally, fasting blood samples were collected from all participants, in order to determine their lipid profile. VA was calculated based on the patient's sex, age, smoking status, total serum cholesterol level and systolic blood pressure (SBP) value. Afterwards, the study sample was divided into five groups with the different levels of the atherosclerotic burden, as follows: 1) PwMS without any CVD comorbidity; 2) PwMS with hyperlipidemia (HLP); 3) PwMS with HLP and hypertension (HTA); 4) PwMS with HLP, HTA and type 2 diabetes, and 5) PwMS with coronary artery disease (CAD). In the statistical analysis, for the determination of factors that are independently associated with the discrepancy between CA and VA in persons with MS, hierarchical regression analysis was performed.ResultsThe mean values of CA and VA were statistically significantly different among the groups(pConclusionOur study showed significant difference between CA and VA in PwMS and additionally, increasing VA with atherosclerotic burden. Additionally, it has been demonstrated that crucial factors which led to the occurrence of these differences were BMI, physical activity, EDSS and the presence of type 2 diabetes.
- Published
- 2024
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