Evidence mapPaperPMID 41002611Full record

ArticleJournal of cardiovascular development and disease2025

Metabolic Syndrome Clusters and Arterial Stiffness: Unraveling Early Predictors of Cardiovascular Risk in a Follow-Up Study.

Agnė Jucevičienė, Ligita Ryliškytė, Jolita Badarienė, Aleksandras Laucevičius

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Article in Journal of cardiovascular development and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Agnė JucevičienėClinic of Cardiovascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M. K. Čiurlionio Str. 21, LT-03101 Vilnius, Lithuania.ORCID 0000-0002-4486-1879
Ligita RyliškytėClinic of Cardiovascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M. K. Čiurlionio Str. 21, LT-03101 Vilnius, Lithuania.
Jolita BadarienėClinic of Cardiovascular Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, M. K. Čiurlionio Str. 21, LT-03101 Vilnius, Lithuania.ORCID 0000-0003-1184-9803
Aleksandras LaucevičiusState Research Institute Centre for Innovative Medicine, Santariškių Str. 5, LT-08406 Vilnius, Lithuania.ORCID 0000-0002-8642-1441

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to assess the association between different metabolic syndrome (MetS) component clusters, arterial stiffness as measured by aortic pulse wave velocity (aPWV) and cardio-ankle vascular index (CAVI), and the incidence of major cardiovascular events during long-term follow-up.

methodsThe prospective cohort study included 5307 participants with MetS, aged 40 to 64 years, who had no evident cardiovascular disease and were enrolled in the Lithuanian High Cardiovascular Risk primary prevention program. All participants were followed up for an average of 4.57 ± 2.74 years to monitor the occurrence of major cardiovascular events. Arterial stiffness was assessed using aPWV and CAVI measurements. The associations between different MetS component clusters, arterial stiffness, and cardiovascular outcomes were analyzed.

resultsDuring the follow-up period, 3.34% of the subjects experienced a major cardiovascular event. Individuals meeting four MetS criteria had a higher risk of events compared to those meeting three. Elevated triglycerides and elevated glucose were each significantly associated with increased risk. Specific MetS combinations, particularly clusters involving WTHB (increased waist circumference [W], elevated triglycerides [T], decreased HDL cholesterol [H], and elevated blood pressure [B]), as well as WBG (waist circumference, blood pressure, and glucose [G]), were significantly associated with cardiovascular events. The cross-sectional analysis also revealed that arterial stiffness, assessed as aPWV, was significantly higher in subjects with the WBG, WTBG, and WTHBG clusters. Meanwhile, higher CAVI was associated with the WTBG cluster. In the logistic regression analysis, the presence of the following clusters was linked to more than twice increased odds for having extremely stiff arteries: WTBG (OR = 2.351) and WTHBG (OR = 2.201) for aPWV values above the 95th percentile (>11.3 m/s) and WTB (OR = 2.096) for CAVI values above the 95th percentile (>10.2).

conclusionsOur findings demonstrate that higher risk of CV events is associated with increased arterial stiffness and higher number of MetS components present, as well as with the presence of specific MetS components; in particular, increased levels of triglycerides and glucose. Furthermore, the cross-sectional analysis demonstrated that subjects with the unfavorable combination of MetS components, such as WTBG, WTHBG, and WTB, are more than twice as likely to have extremely stiff arteries.

Indexed as

aortic stiffnesscardiovascular deathcardiovascular eventsmetabolic syndromemetabolic syndrome clustersmyocardial infarctionpulse wave velocitystroke

Identifiers

PMID41002611
PMCPMC12471115

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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 Socratic graph.