Age-specific reference values for carotid arterial stiffness estimated by ultrasonic wall tracking
Interaction between arterial stiffness and hypertension plays an important role in the development of cardiovascular disease. Accordingly, assessment of arterial stiffness may provide a tool for estimating cardiovascular risk and monitoring therapy in hypertensive patients. Radiofrequency-based vasc...
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creator | Uejima, Tokuhisa Dunstan, Frank D. Arbustini, Eloisa Łoboz-Grudzień, Krystyna Hughes, Alun D. Carerj, Scipione Favalli, Valentina Antonini-Canterin, Francesco Vriz, Olga Vinereanu, Dragos Zamorano, Jose L. Popescu, Bogdan A. Evangelista, Arturo Lancellotti, Patrizio Lefthériotis, Georges Kozakova, Michaela Palombo, Carlo Fraser, Alan G. |
description | Interaction between arterial stiffness and hypertension plays an important role in the development of cardiovascular disease. Accordingly, assessment of arterial stiffness may provide a tool for estimating cardiovascular risk and monitoring therapy in hypertensive patients. Radiofrequency-based vascular ultrasound allows accurate noninvasive assessment of local mechanical properties of large arteries, but for its use in clinical practice, reference values according to age and sex are mandatory for each vascular site. To provide reference values for common carotid artery stiffness as assessed by an echo-tracking imaging system Hitachi-Aloka, we pooled measurements collected in 1847 healthy subjects aged 3–74 years (1008 males and 839 females) recruited in 14 European centers in the E-tracking International Collaboration (ETIC). Statistical models were developed to describe relationships of different stiffness indices with age and to calculate median values and
Z
-scores corresponding to ± 1 and ± 2 standard deviations. In our apparently healthy population, age accounted for 53% of variability in the elastic modulus (epsilon), 39% in arterial compliance, 47% in stiffness index (β), and 56% in local pulse wave velocity; on average, blood pressure accounted for a further 7.5% of variability. Dependence on age was not linear; changes in mean values increased at older ages, especially for epsilon and β. There was an interaction between age and gender for arterial compliance, which was higher in males. We present nomograms and a software that can be used for the automated calculation of
Z
-scores for local carotid stiffness in individual patients. These tools can be used to establish prognostic indicators or surrogate targets for treatment monitoring. |
doi_str_mv | 10.1038/s41371-019-0228-5 |
format | Article |
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Z
-scores corresponding to ± 1 and ± 2 standard deviations. In our apparently healthy population, age accounted for 53% of variability in the elastic modulus (epsilon), 39% in arterial compliance, 47% in stiffness index (β), and 56% in local pulse wave velocity; on average, blood pressure accounted for a further 7.5% of variability. Dependence on age was not linear; changes in mean values increased at older ages, especially for epsilon and β. There was an interaction between age and gender for arterial compliance, which was higher in males. We present nomograms and a software that can be used for the automated calculation of
Z
-scores for local carotid stiffness in individual patients. These tools can be used to establish prognostic indicators or surrogate targets for treatment monitoring.</description><identifier>ISSN: 0950-9240</identifier><identifier>EISSN: 1476-5527</identifier><identifier>DOI: 10.1038/s41371-019-0228-5</identifier><identifier>PMID: 31435004</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/499 ; 692/700/1421/1860 ; Age ; Aging ; Blood pressure ; Cardiovascular & respiratory systems ; Cardiovascular diseases ; Carotid artery ; Demographic aspects ; Echocardiography ; Epidemiology ; Gender ; Health Administration ; Health aspects ; Human health sciences ; Mathematical models ; Mechanical properties ; Medical examination ; Medicine ; Medicine & Public Health ; Nomograms ; Patients ; Public Health ; Sciences de la santé humaine ; Statistical analysis ; Systèmes cardiovasculaire & respiratoire ; Ultrasound ; Vascular resistance</subject><ispartof>Journal of human hypertension, 2020-03, Vol.34 (3), p.214-222</ispartof><rights>The Author(s) 2019</rights><rights>COPYRIGHT 2020 Nature Publishing Group</rights><rights>This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c640t-b6a2c95e33e34c0b07ffeef0bab30fc2f1b9e3f5efef3b192dd4e51d45b1b90b3</citedby><cites>FETCH-LOGICAL-c640t-b6a2c95e33e34c0b07ffeef0bab30fc2f1b9e3f5efef3b192dd4e51d45b1b90b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41371-019-0228-5$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41371-019-0228-5$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27903,27904,41467,42536,51298</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31435004$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Uejima, Tokuhisa</creatorcontrib><creatorcontrib>Dunstan, Frank D.</creatorcontrib><creatorcontrib>Arbustini, Eloisa</creatorcontrib><creatorcontrib>Łoboz-Grudzień, Krystyna</creatorcontrib><creatorcontrib>Hughes, Alun D.</creatorcontrib><creatorcontrib>Carerj, Scipione</creatorcontrib><creatorcontrib>Favalli, Valentina</creatorcontrib><creatorcontrib>Antonini-Canterin, Francesco</creatorcontrib><creatorcontrib>Vriz, Olga</creatorcontrib><creatorcontrib>Vinereanu, Dragos</creatorcontrib><creatorcontrib>Zamorano, Jose L.</creatorcontrib><creatorcontrib>Popescu, Bogdan A.</creatorcontrib><creatorcontrib>Evangelista, Arturo</creatorcontrib><creatorcontrib>Lancellotti, Patrizio</creatorcontrib><creatorcontrib>Lefthériotis, Georges</creatorcontrib><creatorcontrib>Kozakova, Michaela</creatorcontrib><creatorcontrib>Palombo, Carlo</creatorcontrib><creatorcontrib>Fraser, Alan G.</creatorcontrib><creatorcontrib>E-Tracking International Collaboration Group (ETIC)</creatorcontrib><creatorcontrib>for the E-Tracking International Collaboration Group (ETIC)</creatorcontrib><title>Age-specific reference values for carotid arterial stiffness estimated by ultrasonic wall tracking</title><title>Journal of human hypertension</title><addtitle>J Hum Hypertens</addtitle><addtitle>J Hum Hypertens</addtitle><description>Interaction between arterial stiffness and hypertension plays an important role in the development of cardiovascular disease. Accordingly, assessment of arterial stiffness may provide a tool for estimating cardiovascular risk and monitoring therapy in hypertensive patients. Radiofrequency-based vascular ultrasound allows accurate noninvasive assessment of local mechanical properties of large arteries, but for its use in clinical practice, reference values according to age and sex are mandatory for each vascular site. To provide reference values for common carotid artery stiffness as assessed by an echo-tracking imaging system Hitachi-Aloka, we pooled measurements collected in 1847 healthy subjects aged 3–74 years (1008 males and 839 females) recruited in 14 European centers in the E-tracking International Collaboration (ETIC). Statistical models were developed to describe relationships of different stiffness indices with age and to calculate median values and
Z
-scores corresponding to ± 1 and ± 2 standard deviations. In our apparently healthy population, age accounted for 53% of variability in the elastic modulus (epsilon), 39% in arterial compliance, 47% in stiffness index (β), and 56% in local pulse wave velocity; on average, blood pressure accounted for a further 7.5% of variability. Dependence on age was not linear; changes in mean values increased at older ages, especially for epsilon and β. There was an interaction between age and gender for arterial compliance, which was higher in males. We present nomograms and a software that can be used for the automated calculation of
Z
-scores for local carotid stiffness in individual patients. 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Hypertens</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>34</volume><issue>3</issue><spage>214</spage><epage>222</epage><pages>214-222</pages><issn>0950-9240</issn><eissn>1476-5527</eissn><abstract>Interaction between arterial stiffness and hypertension plays an important role in the development of cardiovascular disease. 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Z
-scores corresponding to ± 1 and ± 2 standard deviations. In our apparently healthy population, age accounted for 53% of variability in the elastic modulus (epsilon), 39% in arterial compliance, 47% in stiffness index (β), and 56% in local pulse wave velocity; on average, blood pressure accounted for a further 7.5% of variability. Dependence on age was not linear; changes in mean values increased at older ages, especially for epsilon and β. There was an interaction between age and gender for arterial compliance, which was higher in males. We present nomograms and a software that can be used for the automated calculation of
Z
-scores for local carotid stiffness in individual patients. These tools can be used to establish prognostic indicators or surrogate targets for treatment monitoring.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>31435004</pmid><doi>10.1038/s41371-019-0228-5</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 692/499 692/700/1421/1860 Age Aging Blood pressure Cardiovascular & respiratory systems Cardiovascular diseases Carotid artery Demographic aspects Echocardiography Epidemiology Gender Health Administration Health aspects Human health sciences Mathematical models Mechanical properties Medical examination Medicine Medicine & Public Health Nomograms Patients Public Health Sciences de la santé humaine Statistical analysis Systèmes cardiovasculaire & respiratoire Ultrasound Vascular resistance |
title | Age-specific reference values for carotid arterial stiffness estimated by ultrasonic wall tracking |
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