Arterial stiffness parameters: how do they differ?
Jazyk angličtina Země Irsko Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
24267252
DOI
10.1016/j.atherosclerosis.2013.10.006
PII: S0021-9150(13)00603-5
Knihovny.cz E-zdroje
- Klíčová slova
- Arterial stiffness, Cardiovascular disease, Pulse wave velocity, Target organ damage,
- MeSH
- analýza pulzové vlny * MeSH
- aorta patologie MeSH
- arteriae carotides patologie MeSH
- cholesterol krev MeSH
- dolní končetina patologie MeSH
- dospělí MeSH
- hodnoty glomerulární filtrace MeSH
- kardiovaskulární nemoci krev epidemiologie MeSH
- krevní glukóza metabolismus MeSH
- krevní tlak MeSH
- lidé středního věku MeSH
- lidé MeSH
- průřezové studie MeSH
- rizikové faktory MeSH
- senioři MeSH
- srdeční frekvence MeSH
- srdeční komory patologie MeSH
- tuhost cévní stěny * MeSH
- zdravotní stav MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Česká republika MeSH
- Názvy látek
- cholesterol MeSH
- krevní glukóza MeSH
BACKGROUND: Carotid-femoral pulse wave velocity (PWV), as a parameter of aortic stiffness, is an established marker of cardiovascular risk. There has been increasing use of arterial stiffness parameters combining aortic and muscular stiffness or a parameter derived from PWV - the stiffness index beta (BETA = ln(systolic/diastolic pressure) × 2 blood viscosity/pulse pressure × PWV(2)). The aim of this study was to compare different arterial stiffness parameters in a general population random sample. METHODS AND RESULTS: In 809 individuals from the Czech post-MONICA study (aged 54 ± 13.5 years, 47% men), we compared the association of carotid-femoral PWV (cfPWV), carotid-ankle PWV (caPWV), and BETA with cardiovascular risk factors, parameters of subclinical organ damage, and presence of manifest cardiovascular disease. Both cfPWV and caPWV were similarly associated with blood pressure and glucose level, while cfPWV was more strongly associated with age, cholesterol level and glomerular filtration rate whereas caPWV with Sokolow-Lyon index. BETA derived from cfPWV and caPWV was less dependent on blood pressure, while it showed a closer association with coronary heart disease presence, as compared to cfPWV and caPWV. CONCLUSIONS: Addition of lower extremity to aortic stiffness has an effect on the association with cardiovascular risk factors while having no effect on the association with manifest cardiovascular disease. Beta transformation of PWV decreases its dependence on blood pressure and may increase its power in cardiovascular risk prediction.
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