Aortic pulse wave velocity predicts cardiovascular mortality among middle-aged metabolic syndrome subjects without overt cardiovascular disease

The findings of this study suggest that, among the markers of subclinical arterial damage, an increase in both aPWV and CAVI has a statistically significant predictive value for cardiovascular mortality in the middle-aged subjects with MetS. However, only aPWV demonstrated predictive value that was independent of age and gender.

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Publication Details

Journal
Nutrition & Metabolism
Published
2024-12-02
DOI
https://doi.org/10.1186/s12986-024-00875-z
Citations
4
Primary Topic
Cardiovascular Health and Disease Prevention
Type
article
Field-Weighted Citation Impact
1.61
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article

Aortic pulse wave velocity predicts cardiovascular mortality among middle-aged metabolic syndrome subjects without overt cardiovascular disease

Ligita Ryliškytė, Roma Puronaitė, Agnė Jucevičienė, Jolita Badarienė
4 citations
Nutrition & Metabolism
Cardiovascular Health and Disease Prevention
1.61
article

Aortic pulse wave velocity predicts cardiovascular mortality among middle-aged metabolic syndrome subjects without overt cardiovascular disease

Ligita Ryliškytė, Roma Puronaitė, Agnė Jucevičienė, Jolita Badarienė
article en
4 citations

Abstract

The findings of this study suggest that, among the markers of subclinical arterial damage, an increase in both aPWV and CAVI has a statistically significant predictive value for cardiovascular mortality in the middle-aged subjects with MetS. However, only aPWV demonstrated predictive value that was independent of age and gender.

Nutrition & MetabolismVol. 21(1)
Vilnius University (LT), Vilnius College of Technologies and Design (LT), Vilnius University Hospital Santariskiu Klinikos (LT)
Good health and well-being
Openalex Percentile: Top 14%
Cardiovascular Health and Disease Prevention
1.61
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Aortic pulse wave velocity predicts cardiovascular mortality among middle-aged metabolic syndrome subjects without overt cardiovascular disease — Ligita Ryliškytė, Roma Puronaitė, et al. · Nutrition & Metabolism (2024) | TGRS Research Map | TGRS