Evidence map›Paper›PMID 39565794›Full record

ArticlePloS one2024

Investigation of differences between chronological and vascular age in persons with multiple sclerosis.

Gorica D Maric, Tatjana D Pekmezovic, Olivera S Tamas, Nikola D Veselinovic, Maja S Budimkic, Aleksa L Jovanovic, Sarlota K Mesaros, Jelena S Drulovic

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Gorica D MaricFaculty of Medicine, Institute of Epidemiology, University of Belgrade, Belgrade, Serbia.
Tatjana D PekmezovicFaculty of Medicine, Institute of Epidemiology, University of Belgrade, Belgrade, Serbia.ORCID 0000-0001-7978-1409
Olivera S TamasFaculty of Medicine, University of Belgrade, Belgrade, Serbia.
Nikola D VeselinovicFaculty of Medicine, University of Belgrade, Belgrade, Serbia.
Maja S BudimkicFaculty of Medicine, University of Belgrade, Belgrade, Serbia.
Aleksa L JovanovicFaculty of Medicine, Institute of Epidemiology, University of Belgrade, Belgrade, Serbia.
Sarlota K MesarosFaculty of Medicine, University of Belgrade, Belgrade, Serbia.
Jelena S DrulovicFaculty of Medicine, University of Belgrade, Belgrade, Serbia.ORCID 0000-0002-4516-3458

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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(p<0.001). Additionally, a significant difference was also detected between CA and VA (p<0.001). The highest VA (66.4±15.8 years) and the difference between CA and VA (6.5±7.3 years) were registered only in the group comprising PwMS, HPL, HTA and type 2 diabetes. Results of the hierarchical linear regression analysis showed that the Expanded Disability Status Scale (EDSS) score, Body mass index (BMI), physical activity and the presence of type 2 diabetes, explained a total of 24% of the variations in the difference between CA and VA, in our cohort of MS patients.

conclusionOur 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.

Indexed as

Multiple SclerosisAdultAgedAge FactorsCase-Control StudiesComorbidityDiabetes Mellitus, Type 2FemaleHumansHyperlipidemiasHypertensionMaleMiddle AgedSerbia

Identifiers

PMID39565794
PMCPMC11578456

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.