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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216224:14110/21:00121969

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30202 - Endocrinology and metabolism (including diabetes, hormones)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Endocrine Practice

ISSN

1530-891X

e-ISSN

—

Svazek periodika

27

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

571-578

Kód UT WoS článku

000670046400007

EID výsledku v databázi Scopus

—