Arterial Stiffness and Cardiometabolic-Based Chronic Disease: The Kardiovize Study

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F21%3A00075133" target="_blank" >RIV/00159816:_____/21:00075133 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14110/21:00121969

Result on the web

<a href="https://www.sciencedirect.com/science/article/abs/pii/S1530891X21000859?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S1530891X21000859?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.eprac.2021.03.004" target="_blank" >10.1016/j.eprac.2021.03.004</a>

Result language

angličtina

Original language name

Arterial Stiffness and Cardiometabolic-Based Chronic Disease: The Kardiovize Study

Original language description

Objective: Arterial stiffness (ArSt) describes a loss of arterial wall elasticity and is an independent predictor of cardiovascular events. A cardiometabolic-based chronic disease model integrates concepts of adiposity-based chronic disease (ABCD), dysglycemia-based chronic disease (DBCD), and cardiovascular disease. We assessed if ABCD and DBCD models detect more people with high ArSt compared with traditional adiposity and dysglycemia classifiers using the cardio-ankle vascular index (CAVI). Methods: We evaluated 2070 subjects aged 25 to 64 years from a random population-based sample. Those with type 1 diabetes were excluded. ABCD and DBCD were defined, and ArSt risk was stratified based on the American Association of Clinical Endocrinologists criteria. Results: The highest prevalence of a high CAVI was in stage 2 ABCD (18.5%) and stage 4 DBCD (31.8%), and the lowest prevalence was in stage 0 ABCD (2.2%). In univariate analysis, stage 2 ABCD and all DBCD stages increased the risk of having a high CAVI compared with traditional classifiers. After adjusting for age and gender, only an inverse association between obesity (body mass index &gt;= 30 kg/m(2)) and CAVI remained significant. Nevertheless, body mass index was responsible for only 0.3% of CAVI variability. Conclusion: The ABCD and DBCD models showed better performance than traditional classifiers to detect subjects with ArSt; however, the variables were not independently associated with age and gender, which might be explained by the complexity and multifactoriality of the relationship of CAVI with the ABCD and DBCD models, mediated by insulin resistance. (C) 2021 AACE. Published by Elsevier Inc. All rights reserved.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30202 - Endocrinology and metabolism (including diabetes, hormones)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Endocrine Practice

ISSN

1530-891X

e-ISSN

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Volume of the periodical

27

Issue of the periodical within the volume

6

Country of publishing house

US - UNITED STATES

Number of pages

8

Pages from-to

571-578

UT code for WoS article

000670046400007

EID of the result in the Scopus database

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