Endothelial function estimated by digital reactive hyperemia in patients with atherosclerotic risk factors or coronary artery disease
Due to the complex profile of atherosclerotic risk factors, an integrated analysis of a specific individual is difficult. Endothelial function reflects a composite of various risk factors, and may be used as an optimal tool to estimate the overall atherosclerotic risk. In this study, we investigated...
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| Veröffentlicht in: | Heart and vessels 2018-07, Vol.33 (7), p.706-712 |
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| description | Due to the complex profile of atherosclerotic risk factors, an integrated analysis of a specific individual is difficult. Endothelial function reflects a composite of various risk factors, and may be used as an optimal tool to estimate the overall atherosclerotic risk. In this study, we investigated the value of digital Reactive Hyperemia Index (RHI) in an actual population with multiple atherosclerotic risk factors or coronary artery disease (CAD). A total of 417 patients from the Seoul National University Boramae Medical Center RHI registry were enrolled in this study. Patients were enrolled from January, 2013 to July, 2016. RHI was measured using the EndoPAT2000 system (Itamiar Medical Inc. Israel). The mean value of RHI was 1.67 ± 0.48 in total study population. Among various atherosclerotic risk factors, RHI was significantly lower in older (> 60 years) patients, diabetics, smokers’ patients on statin therapy, and those with coronary or cerebrovascular disease. Most of these findings were consistent after adjustment with multiple regression analysis. RHI was significantly associated with CAD, with a hazard ratio of 1.80 (95% confidence interval 1.15–2.80,
p
= 0.010). In the subgroup with CAD, current smoking was the only finding showing a lower RHI. Brachial–ankle pulse wave velocity, which is a surrogate marker of arterial atherosclerotic change, was not correlated with RHI in patients with clinically significant atherosclerotic disease. RHI was significantly reduced by major atherosclerotic risk factors and in clinical atherosclerotic disease. RHI may reflect a composite effect of risk factors pertaining to the endothelial function. |
| doi_str_mv | 10.1007/s00380-018-1118-4 |
| format | Article |
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p
= 0.010). In the subgroup with CAD, current smoking was the only finding showing a lower RHI. Brachial–ankle pulse wave velocity, which is a surrogate marker of arterial atherosclerotic change, was not correlated with RHI in patients with clinically significant atherosclerotic disease. RHI was significantly reduced by major atherosclerotic risk factors and in clinical atherosclerotic disease. RHI may reflect a composite effect of risk factors pertaining to the endothelial function.</description><identifier>ISSN: 0910-8327</identifier><identifier>EISSN: 1615-2573</identifier><identifier>DOI: 10.1007/s00380-018-1118-4</identifier><identifier>PMID: 29352760</identifier><language>eng</language><publisher>Tokyo: Springer Japan</publisher><subject>Ankle ; Ankle Brachial Index ; Arteriosclerosis ; Atherosclerosis ; Atherosclerosis - physiopathology ; Biomedical Engineering and Bioengineering ; Cardiac Surgery ; Cardiology ; Cardiovascular disease ; Confidence intervals ; Coronary Angiography ; Coronary artery ; Coronary artery disease ; Coronary Artery Disease - diagnosis ; Coronary Artery Disease - physiopathology ; Coronary vessels ; Endothelium, Vascular - physiopathology ; Female ; Fingers - blood supply ; Health care facilities ; Health risk assessment ; Health risks ; Heart diseases ; Humans ; Hyperemia ; Hyperemia - physiopathology ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Multiple regression analysis ; Original Article ; Patients ; Population studies ; Prognosis ; Pulse Wave Analysis ; Regression analysis ; Retrospective Studies ; Risk analysis ; Risk Factors ; Smoking ; Statistical analysis ; Vascular Surgery ; Vasodilation - physiology ; Wave velocity</subject><ispartof>Heart and vessels, 2018-07, Vol.33 (7), p.706-712</ispartof><rights>Springer Japan KK, part of Springer Nature 2018</rights><rights>Heart and Vessels is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-eaa4b02fa23dcae2c86362eb8caed1a3f571e2d33849c2d595aa0d8e281c8b833</citedby><cites>FETCH-LOGICAL-c396t-eaa4b02fa23dcae2c86362eb8caed1a3f571e2d33849c2d595aa0d8e281c8b833</cites><orcidid>0000-0002-9106-9331</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00380-018-1118-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00380-018-1118-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29352760$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kang, Jeehoon</creatorcontrib><creatorcontrib>Kim, Hack-Lyoung</creatorcontrib><creatorcontrib>Seo, Jae-Bin</creatorcontrib><creatorcontrib>Lee, Jin-Yong</creatorcontrib><creatorcontrib>Moon, Min-Kyong</creatorcontrib><creatorcontrib>Chung, Woo-Young</creatorcontrib><title>Endothelial function estimated by digital reactive hyperemia in patients with atherosclerotic risk factors or coronary artery disease</title><title>Heart and vessels</title><addtitle>Heart Vessels</addtitle><addtitle>Heart Vessels</addtitle><description>Due to the complex profile of atherosclerotic risk factors, an integrated analysis of a specific individual is difficult. Endothelial function reflects a composite of various risk factors, and may be used as an optimal tool to estimate the overall atherosclerotic risk. In this study, we investigated the value of digital Reactive Hyperemia Index (RHI) in an actual population with multiple atherosclerotic risk factors or coronary artery disease (CAD). A total of 417 patients from the Seoul National University Boramae Medical Center RHI registry were enrolled in this study. Patients were enrolled from January, 2013 to July, 2016. RHI was measured using the EndoPAT2000 system (Itamiar Medical Inc. Israel). The mean value of RHI was 1.67 ± 0.48 in total study population. Among various atherosclerotic risk factors, RHI was significantly lower in older (> 60 years) patients, diabetics, smokers’ patients on statin therapy, and those with coronary or cerebrovascular disease. Most of these findings were consistent after adjustment with multiple regression analysis. RHI was significantly associated with CAD, with a hazard ratio of 1.80 (95% confidence interval 1.15–2.80,
p
= 0.010). In the subgroup with CAD, current smoking was the only finding showing a lower RHI. Brachial–ankle pulse wave velocity, which is a surrogate marker of arterial atherosclerotic change, was not correlated with RHI in patients with clinically significant atherosclerotic disease. RHI was significantly reduced by major atherosclerotic risk factors and in clinical atherosclerotic disease. RHI may reflect a composite effect of risk factors pertaining to the endothelial function.</description><subject>Ankle</subject><subject>Ankle Brachial Index</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Atherosclerosis - physiopathology</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Cardiac Surgery</subject><subject>Cardiology</subject><subject>Cardiovascular disease</subject><subject>Confidence intervals</subject><subject>Coronary Angiography</subject><subject>Coronary artery</subject><subject>Coronary artery disease</subject><subject>Coronary Artery Disease - diagnosis</subject><subject>Coronary Artery Disease - physiopathology</subject><subject>Coronary vessels</subject><subject>Endothelium, Vascular - physiopathology</subject><subject>Female</subject><subject>Fingers - blood supply</subject><subject>Health care facilities</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Heart diseases</subject><subject>Humans</subject><subject>Hyperemia</subject><subject>Hyperemia - physiopathology</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Multiple regression analysis</subject><subject>Original Article</subject><subject>Patients</subject><subject>Population studies</subject><subject>Prognosis</subject><subject>Pulse Wave Analysis</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Smoking</subject><subject>Statistical analysis</subject><subject>Vascular Surgery</subject><subject>Vasodilation - physiology</subject><subject>Wave velocity</subject><issn>0910-8327</issn><issn>1615-2573</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kctuFDEQRS1ERIbAB7BBltiwaSjb_bCXKAoPKRKbZG1Vu6szDj32YLtB8wH5bzyagBASm7Kse-qWy5exVwLeCYDhfQZQGhoQuhGilvYJ24hedI3sBvWUbcAIaLSSwzl7nvM9gOiMMM_YuTSqk0MPG_ZwFaZYtrR4XPi8Bld8DJxy8TssNPHxwCd_50tVE2FVfxDfHvaUaOeR-8D3WDyFkvlPX7Ycq1WK2S21Fu948vkbn2tfTJnHxF1MMWA6cEyF0tE7E2Z6wc5mXDK9fDwv2O3Hq5vLz831109fLj9cN06ZvjSE2I4gZ5RqckjS6V71kkZdL5NANXeDIDkppVvj5NSZDhEmTVILp0et1AV7e_Ldp_h9rVvanc-OlgUDxTVbYbTpwYBuK_rmH_Q-rinU11XKKCmgbbtKiRPl6tY50Wz3qf5cOlgB9piRPWVka0b2mJE9Or9-dF7HHU1_On6HUgF5AnKVwh2lv0b_1_UX8ROftA</recordid><startdate>20180701</startdate><enddate>20180701</enddate><creator>Kang, Jeehoon</creator><creator>Kim, Hack-Lyoung</creator><creator>Seo, Jae-Bin</creator><creator>Lee, Jin-Yong</creator><creator>Moon, Min-Kyong</creator><creator>Chung, Woo-Young</creator><general>Springer Japan</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9106-9331</orcidid></search><sort><creationdate>20180701</creationdate><title>Endothelial function estimated by digital reactive hyperemia in patients with atherosclerotic risk factors or coronary artery disease</title><author>Kang, Jeehoon ; Kim, Hack-Lyoung ; Seo, Jae-Bin ; Lee, Jin-Yong ; Moon, Min-Kyong ; Chung, Woo-Young</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-eaa4b02fa23dcae2c86362eb8caed1a3f571e2d33849c2d595aa0d8e281c8b833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Ankle</topic><topic>Ankle Brachial Index</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis</topic><topic>Atherosclerosis - physiopathology</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Cardiac Surgery</topic><topic>Cardiology</topic><topic>Cardiovascular disease</topic><topic>Confidence intervals</topic><topic>Coronary Angiography</topic><topic>Coronary artery</topic><topic>Coronary artery disease</topic><topic>Coronary Artery Disease - diagnosis</topic><topic>Coronary Artery Disease - physiopathology</topic><topic>Coronary vessels</topic><topic>Endothelium, Vascular - physiopathology</topic><topic>Female</topic><topic>Fingers - blood supply</topic><topic>Health care facilities</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Heart diseases</topic><topic>Humans</topic><topic>Hyperemia</topic><topic>Hyperemia - physiopathology</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Multiple regression analysis</topic><topic>Original Article</topic><topic>Patients</topic><topic>Population studies</topic><topic>Prognosis</topic><topic>Pulse Wave Analysis</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Smoking</topic><topic>Statistical analysis</topic><topic>Vascular Surgery</topic><topic>Vasodilation - 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Academic</collection><jtitle>Heart and vessels</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kang, Jeehoon</au><au>Kim, Hack-Lyoung</au><au>Seo, Jae-Bin</au><au>Lee, Jin-Yong</au><au>Moon, Min-Kyong</au><au>Chung, Woo-Young</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Endothelial function estimated by digital reactive hyperemia in patients with atherosclerotic risk factors or coronary artery disease</atitle><jtitle>Heart and vessels</jtitle><stitle>Heart Vessels</stitle><addtitle>Heart Vessels</addtitle><date>2018-07-01</date><risdate>2018</risdate><volume>33</volume><issue>7</issue><spage>706</spage><epage>712</epage><pages>706-712</pages><issn>0910-8327</issn><eissn>1615-2573</eissn><abstract>Due to the complex profile of atherosclerotic risk factors, an integrated analysis of a specific individual is difficult. Endothelial function reflects a composite of various risk factors, and may be used as an optimal tool to estimate the overall atherosclerotic risk. In this study, we investigated the value of digital Reactive Hyperemia Index (RHI) in an actual population with multiple atherosclerotic risk factors or coronary artery disease (CAD). A total of 417 patients from the Seoul National University Boramae Medical Center RHI registry were enrolled in this study. Patients were enrolled from January, 2013 to July, 2016. RHI was measured using the EndoPAT2000 system (Itamiar Medical Inc. Israel). The mean value of RHI was 1.67 ± 0.48 in total study population. Among various atherosclerotic risk factors, RHI was significantly lower in older (> 60 years) patients, diabetics, smokers’ patients on statin therapy, and those with coronary or cerebrovascular disease. Most of these findings were consistent after adjustment with multiple regression analysis. RHI was significantly associated with CAD, with a hazard ratio of 1.80 (95% confidence interval 1.15–2.80,
p
= 0.010). In the subgroup with CAD, current smoking was the only finding showing a lower RHI. Brachial–ankle pulse wave velocity, which is a surrogate marker of arterial atherosclerotic change, was not correlated with RHI in patients with clinically significant atherosclerotic disease. RHI was significantly reduced by major atherosclerotic risk factors and in clinical atherosclerotic disease. RHI may reflect a composite effect of risk factors pertaining to the endothelial function.</abstract><cop>Tokyo</cop><pub>Springer Japan</pub><pmid>29352760</pmid><doi>10.1007/s00380-018-1118-4</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-9106-9331</orcidid></addata></record> |
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| subjects | Ankle Ankle Brachial Index Arteriosclerosis Atherosclerosis Atherosclerosis - physiopathology Biomedical Engineering and Bioengineering Cardiac Surgery Cardiology Cardiovascular disease Confidence intervals Coronary Angiography Coronary artery Coronary artery disease Coronary Artery Disease - diagnosis Coronary Artery Disease - physiopathology Coronary vessels Endothelium, Vascular - physiopathology Female Fingers - blood supply Health care facilities Health risk assessment Health risks Heart diseases Humans Hyperemia Hyperemia - physiopathology Male Medicine Medicine & Public Health Middle Aged Multiple regression analysis Original Article Patients Population studies Prognosis Pulse Wave Analysis Regression analysis Retrospective Studies Risk analysis Risk Factors Smoking Statistical analysis Vascular Surgery Vasodilation - physiology Wave velocity |
| title | Endothelial function estimated by digital reactive hyperemia in patients with atherosclerotic risk factors or coronary artery disease |
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