ArticleThe Korean journal of internal medicine2024
Estimated pulse wave velocity as a forefront indicator of developing metabolic syndrome in Korean adults.
Article in The Korean journal of internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Development of a biomarker-enhanced arterial age model for young-to-middle-aged adults with type 2 diabetes.Scientific reports · 2026Article
- Prognostic value of estimated pulse wave velocity for all-cause and cardiovascular mortality in individuals with cardiovascular-kidney-metabolic (CKM) syndrome: analyses of NHANES 2007-2018.Diabetology & metabolic syndrome · 2026Article
- Adropin and Endothelin-1 as Complementary Signals Associated with Early Vascular Aging in Middle-Aged Type 2 Diabetes.Diseases (Basel, Switzerland) · 2026Article
- Association Between Metabolic Syndrome Components and Vascular Structure and Function in Subjects with a Diagnosis of Long COVID: The BioICOPER Study.Journal of clinical medicine · 2026Article
- Estimated pulse wave velocity and progression to advanced cardiovascular-kidney-metabolic syndrome: a population-based longitudinal study with supportive external cross-sectional evidence.Frontiers in cardiovascular medicine · 2026Article
- Association between estimated pulse wave velocity and impaired fasting glucose: a multicenter retrospective cohort study in China.Frontiers in endocrinology · 2026Article
- Crosstalk Between Metabolic Biomarkers and Pulse Wave Analysis in Hypertensive Patients.Biomedicines · 2025Article
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4 authors.
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Abstract
BACKGROUND/
aimsThe predictive value of the estimated pulse wave velocity (ePWV) for the development of metabolic syndrome has not yet been extensively explored. This study aimed to fill this gap by evaluating ePWV as a potential predictor of metabolic syndrome development in middle-aged Korean adults.
methodsUsing prospective data obtained from the Ansan-Ansung cohort database, participants without metabolic syndrome at baseline were studied. ePWV was calculated using specific equations based on age and blood pressure. The primary outcome was the incidence of metabolic syndrome during a median follow-up period of 187 months.
resultsAmong the 6,186 participants, 2,726 (44.1%) developed metabolic syndrome during the follow-up period. ePWV methvalues were categorized into tertiles to assess their predictive value for the development of metabolic syndrome. An ePWV cut-off of 7.407 m/s was identified as a predictor of metabolic syndrome development, with a sensitivity of 0.743 and a specificity of 0.464. Participants exceeding this cut-off, especially those in the third tertile (8.77-14.63 m/s), had a notably higher risk of developing metabolic syndrome. Specifically, the third tertile exhibited a 52.8% cumulative incidence compared with 30.8% in the first tertile. After adjustments, those in the third tertile faced a 1.530-fold increased risk of metabolic syndrome (95% confidence interval, 1.330-1.761).
conclusionePWV is a significant predictor of the development of metabolic syndrome. This finding underscores the potential of ePWV as a cardiometabolic risk assessment tool and can thus provide useful information for primary prevention strategies.
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