Non-invasive evaluation of retinal vascular remodeling and hypertrophy in humans: intricate effect of ageing, blood pressure and glycaemia
Background Ageing, hypertension and diabetes have an intricate effect on microvascular structure. In the retina, the respective contribution of remodeling and hypertrophy in such process is still unclear. We aimed at disentangling age, blood pressure and glycaemia effects on retinal microcirculation...
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Veröffentlicht in: | Clinical research in cardiology 2021-07, Vol.110 (7), p.959-970 |
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description | Background
Ageing, hypertension and diabetes have an intricate effect on microvascular structure. In the retina, the respective contribution of remodeling and hypertrophy in such process is still unclear. We aimed at disentangling age, blood pressure and glycaemia effects on retinal microcirculation using the non-invasive adaptive optics ophthalmoscopy (AOO).
Methods
We included 429 subjects, distributed into 4 groups according to normal (nBP) or high blood pressure (hBP) and/or normal (nGly) or high fasting glycaemia (hGly). The nBP/nGly group was stratified in age tertiles to isolate the effect of ageing. AOO was used to measure arteriolar wall thickness (WT, µm), arteriolar (aID, µm) and venular internal diameter (vID, µm) and calculate arteriolar wall-to-lumen ratio (WLR), wall cross-sectional area (WCSA, µm
2
). One-way ANOVA for parametric variables and Kruskal–Wallis test for non-parametric variables were used for comparison among groups. A multivariate regression analysis including age, gender, BP, hGly and antihypertensive treatment was performed to calculate independent predictors of retinal remodeling.
Results
WT was increased with ageing (tertile1: 22.5 ± 3.2, tertile2: 24.2 ± 3.5, tertile 3: 25.2 ± 3.8,
p
= 0.001) and BP (hBP: 25.2 ± 4.1 vs nBP: 23.9 ± 3.7,
p
= 0.003). aID decreased with BP (hBP: 90.2 ± 13.4 vs nBP: 93.6 ± 11.6,
p
= 0.013) and increased with glycaemia (hGly: 97.7 ± 12.5 vs nGly: 93.6 ± 11.6,
p
= 0.002). A multivariate analysis showed independent association of hBP with WLR; hGly with WCSA; ageing with WLR and WCSA.
Conclusions
AOO non-invasively identifies retinal structural changes in human confirming that microvascular remodeling is exclusively related to hypertension, whereas vascular growth is related to ageing and hyperglycaemia. |
doi_str_mv | 10.1007/s00392-020-01680-3 |
format | Article |
fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_02880928v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2409647043</sourcerecordid><originalsourceid>FETCH-LOGICAL-c430t-7f10690be45a94c72fdae5dc25801ea6da48fe748e8260e279ebb36eaeb8b8b33</originalsourceid><addsrcrecordid>eNp9kU-L1TAQwIso7rr6BTwFvChYnfxpm3pbFnWFh170HKbt9L0safJM2gfvK_ipTbeyggfJIcPkNz9mMkXxksM7DtC8TwCyFSUIKIHXGkr5qLjkuuYl1K14_BBrdVE8S-kOoOIg1dPiQgrVqlbIy-LX1-BL60-Y7IkYndAtONvgWRhZpNl6dCw_9ovDmBNTGMhZv2foB3Y4HynOMRwPZ2Y9OywT-vQhh3O0Pc5ZN47Uz6sK95Sr3rLOhTCwY6SUlkj3lr0790iTxefFkxFdohd_7qvix6eP329uy923z19urndlryTMZTPyPB50pCpsVd-IcUCqhl5UGjhhPaDSIzVKkxY1kGha6jpZE1Kn85HyqnizeQ_ozDHaCePZBLTm9npn1hwIraEV-sQz-3pjjzH8XCjNZrKpJ-fQU1iSEQraWjWgVu2rf9C7sMT8f5mqVNW0SusmU2Kj-hhSijQ-dMDBrFs121ZzE2Dut2pWtdyKUob9nuJf9X-qfgP02KTr</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2545794887</pqid></control><display><type>article</type><title>Non-invasive evaluation of retinal vascular remodeling and hypertrophy in humans: intricate effect of ageing, blood pressure and glycaemia</title><source>SpringerLink Journals</source><creator>Gallo, Antonio ; Dietenbeck, Thomas ; Giron, Alain ; Paques, Michel ; Kachenoura, Nadjia ; Girerd, Xavier</creator><creatorcontrib>Gallo, Antonio ; Dietenbeck, Thomas ; Giron, Alain ; Paques, Michel ; Kachenoura, Nadjia ; Girerd, Xavier</creatorcontrib><description>Background
Ageing, hypertension and diabetes have an intricate effect on microvascular structure. In the retina, the respective contribution of remodeling and hypertrophy in such process is still unclear. We aimed at disentangling age, blood pressure and glycaemia effects on retinal microcirculation using the non-invasive adaptive optics ophthalmoscopy (AOO).
Methods
We included 429 subjects, distributed into 4 groups according to normal (nBP) or high blood pressure (hBP) and/or normal (nGly) or high fasting glycaemia (hGly). The nBP/nGly group was stratified in age tertiles to isolate the effect of ageing. AOO was used to measure arteriolar wall thickness (WT, µm), arteriolar (aID, µm) and venular internal diameter (vID, µm) and calculate arteriolar wall-to-lumen ratio (WLR), wall cross-sectional area (WCSA, µm
2
). One-way ANOVA for parametric variables and Kruskal–Wallis test for non-parametric variables were used for comparison among groups. A multivariate regression analysis including age, gender, BP, hGly and antihypertensive treatment was performed to calculate independent predictors of retinal remodeling.
Results
WT was increased with ageing (tertile1: 22.5 ± 3.2, tertile2: 24.2 ± 3.5, tertile 3: 25.2 ± 3.8,
p
= 0.001) and BP (hBP: 25.2 ± 4.1 vs nBP: 23.9 ± 3.7,
p
= 0.003). aID decreased with BP (hBP: 90.2 ± 13.4 vs nBP: 93.6 ± 11.6,
p
= 0.013) and increased with glycaemia (hGly: 97.7 ± 12.5 vs nGly: 93.6 ± 11.6,
p
= 0.002). A multivariate analysis showed independent association of hBP with WLR; hGly with WCSA; ageing with WLR and WCSA.
Conclusions
AOO non-invasively identifies retinal structural changes in human confirming that microvascular remodeling is exclusively related to hypertension, whereas vascular growth is related to ageing and hyperglycaemia.</description><identifier>ISSN: 1861-0684</identifier><identifier>EISSN: 1861-0692</identifier><identifier>DOI: 10.1007/s00392-020-01680-3</identifier><identifier>PMID: 32494923</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adaptive optics ; Age ; Aging ; Antihypertensives ; Blood glucose ; Blood pressure ; Cardiology ; Diabetes mellitus ; Diameters ; Endocrinology and metabolism ; Human health and pathology ; Hyperglycemia ; Hypertension ; Hypertrophy ; Kruskal-Wallis test ; Life Sciences ; Mathematical analysis ; Medicine ; Medicine & Public Health ; Microvasculature ; Multivariate analysis ; Noninvasive evaluation ; Optics ; Original Paper ; Pressure effects ; Regression analysis ; Retina ; Sensory Organs ; Variance analysis ; Wall thickness</subject><ispartof>Clinical research in cardiology, 2021-07, Vol.110 (7), p.959-970</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c430t-7f10690be45a94c72fdae5dc25801ea6da48fe748e8260e279ebb36eaeb8b8b33</citedby><cites>FETCH-LOGICAL-c430t-7f10690be45a94c72fdae5dc25801ea6da48fe748e8260e279ebb36eaeb8b8b33</cites><orcidid>0000-0002-8887-994X ; 0000-0002-9102-9196 ; 0000-0001-5643-0497</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/s00392-020-01680-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00392-020-01680-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27903,27904,41467,42536,51298</link.rule.ids><backlink>$$Uhttps://hal.sorbonne-universite.fr/hal-02880928$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Gallo, Antonio</creatorcontrib><creatorcontrib>Dietenbeck, Thomas</creatorcontrib><creatorcontrib>Giron, Alain</creatorcontrib><creatorcontrib>Paques, Michel</creatorcontrib><creatorcontrib>Kachenoura, Nadjia</creatorcontrib><creatorcontrib>Girerd, Xavier</creatorcontrib><title>Non-invasive evaluation of retinal vascular remodeling and hypertrophy in humans: intricate effect of ageing, blood pressure and glycaemia</title><title>Clinical research in cardiology</title><addtitle>Clin Res Cardiol</addtitle><description>Background
Ageing, hypertension and diabetes have an intricate effect on microvascular structure. In the retina, the respective contribution of remodeling and hypertrophy in such process is still unclear. We aimed at disentangling age, blood pressure and glycaemia effects on retinal microcirculation using the non-invasive adaptive optics ophthalmoscopy (AOO).
Methods
We included 429 subjects, distributed into 4 groups according to normal (nBP) or high blood pressure (hBP) and/or normal (nGly) or high fasting glycaemia (hGly). The nBP/nGly group was stratified in age tertiles to isolate the effect of ageing. AOO was used to measure arteriolar wall thickness (WT, µm), arteriolar (aID, µm) and venular internal diameter (vID, µm) and calculate arteriolar wall-to-lumen ratio (WLR), wall cross-sectional area (WCSA, µm
2
). One-way ANOVA for parametric variables and Kruskal–Wallis test for non-parametric variables were used for comparison among groups. A multivariate regression analysis including age, gender, BP, hGly and antihypertensive treatment was performed to calculate independent predictors of retinal remodeling.
Results
WT was increased with ageing (tertile1: 22.5 ± 3.2, tertile2: 24.2 ± 3.5, tertile 3: 25.2 ± 3.8,
p
= 0.001) and BP (hBP: 25.2 ± 4.1 vs nBP: 23.9 ± 3.7,
p
= 0.003). aID decreased with BP (hBP: 90.2 ± 13.4 vs nBP: 93.6 ± 11.6,
p
= 0.013) and increased with glycaemia (hGly: 97.7 ± 12.5 vs nGly: 93.6 ± 11.6,
p
= 0.002). A multivariate analysis showed independent association of hBP with WLR; hGly with WCSA; ageing with WLR and WCSA.
Conclusions
AOO non-invasively identifies retinal structural changes in human confirming that microvascular remodeling is exclusively related to hypertension, whereas vascular growth is related to ageing and hyperglycaemia.</description><subject>Adaptive optics</subject><subject>Age</subject><subject>Aging</subject><subject>Antihypertensives</subject><subject>Blood glucose</subject><subject>Blood pressure</subject><subject>Cardiology</subject><subject>Diabetes mellitus</subject><subject>Diameters</subject><subject>Endocrinology and metabolism</subject><subject>Human health and pathology</subject><subject>Hyperglycemia</subject><subject>Hypertension</subject><subject>Hypertrophy</subject><subject>Kruskal-Wallis test</subject><subject>Life Sciences</subject><subject>Mathematical analysis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Microvasculature</subject><subject>Multivariate analysis</subject><subject>Noninvasive evaluation</subject><subject>Optics</subject><subject>Original Paper</subject><subject>Pressure effects</subject><subject>Regression analysis</subject><subject>Retina</subject><subject>Sensory Organs</subject><subject>Variance analysis</subject><subject>Wall thickness</subject><issn>1861-0684</issn><issn>1861-0692</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kU-L1TAQwIso7rr6BTwFvChYnfxpm3pbFnWFh170HKbt9L0safJM2gfvK_ipTbeyggfJIcPkNz9mMkXxksM7DtC8TwCyFSUIKIHXGkr5qLjkuuYl1K14_BBrdVE8S-kOoOIg1dPiQgrVqlbIy-LX1-BL60-Y7IkYndAtONvgWRhZpNl6dCw_9ovDmBNTGMhZv2foB3Y4HynOMRwPZ2Y9OywT-vQhh3O0Pc5ZN47Uz6sK95Sr3rLOhTCwY6SUlkj3lr0790iTxefFkxFdohd_7qvix6eP329uy923z19urndlryTMZTPyPB50pCpsVd-IcUCqhl5UGjhhPaDSIzVKkxY1kGha6jpZE1Kn85HyqnizeQ_ozDHaCePZBLTm9npn1hwIraEV-sQz-3pjjzH8XCjNZrKpJ-fQU1iSEQraWjWgVu2rf9C7sMT8f5mqVNW0SusmU2Kj-hhSijQ-dMDBrFs121ZzE2Dut2pWtdyKUob9nuJf9X-qfgP02KTr</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Gallo, Antonio</creator><creator>Dietenbeck, Thomas</creator><creator>Giron, Alain</creator><creator>Paques, Michel</creator><creator>Kachenoura, Nadjia</creator><creator>Girerd, Xavier</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><general>Springer Verlag</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</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>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7Z</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-8887-994X</orcidid><orcidid>https://orcid.org/0000-0002-9102-9196</orcidid><orcidid>https://orcid.org/0000-0001-5643-0497</orcidid></search><sort><creationdate>20210701</creationdate><title>Non-invasive evaluation of retinal vascular remodeling and hypertrophy in humans: intricate effect of ageing, blood pressure and glycaemia</title><author>Gallo, Antonio ; Dietenbeck, Thomas ; Giron, Alain ; Paques, Michel ; Kachenoura, Nadjia ; Girerd, Xavier</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c430t-7f10690be45a94c72fdae5dc25801ea6da48fe748e8260e279ebb36eaeb8b8b33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adaptive optics</topic><topic>Age</topic><topic>Aging</topic><topic>Antihypertensives</topic><topic>Blood glucose</topic><topic>Blood pressure</topic><topic>Cardiology</topic><topic>Diabetes mellitus</topic><topic>Diameters</topic><topic>Endocrinology and metabolism</topic><topic>Human health and pathology</topic><topic>Hyperglycemia</topic><topic>Hypertension</topic><topic>Hypertrophy</topic><topic>Kruskal-Wallis test</topic><topic>Life Sciences</topic><topic>Mathematical analysis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Microvasculature</topic><topic>Multivariate analysis</topic><topic>Noninvasive evaluation</topic><topic>Optics</topic><topic>Original Paper</topic><topic>Pressure effects</topic><topic>Regression analysis</topic><topic>Retina</topic><topic>Sensory Organs</topic><topic>Variance analysis</topic><topic>Wall thickness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gallo, Antonio</creatorcontrib><creatorcontrib>Dietenbeck, Thomas</creatorcontrib><creatorcontrib>Giron, Alain</creatorcontrib><creatorcontrib>Paques, Michel</creatorcontrib><creatorcontrib>Kachenoura, Nadjia</creatorcontrib><creatorcontrib>Girerd, Xavier</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Clinical research in cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gallo, Antonio</au><au>Dietenbeck, Thomas</au><au>Giron, Alain</au><au>Paques, Michel</au><au>Kachenoura, Nadjia</au><au>Girerd, Xavier</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Non-invasive evaluation of retinal vascular remodeling and hypertrophy in humans: intricate effect of ageing, blood pressure and glycaemia</atitle><jtitle>Clinical research in cardiology</jtitle><stitle>Clin Res Cardiol</stitle><date>2021-07-01</date><risdate>2021</risdate><volume>110</volume><issue>7</issue><spage>959</spage><epage>970</epage><pages>959-970</pages><issn>1861-0684</issn><eissn>1861-0692</eissn><abstract>Background
Ageing, hypertension and diabetes have an intricate effect on microvascular structure. In the retina, the respective contribution of remodeling and hypertrophy in such process is still unclear. We aimed at disentangling age, blood pressure and glycaemia effects on retinal microcirculation using the non-invasive adaptive optics ophthalmoscopy (AOO).
Methods
We included 429 subjects, distributed into 4 groups according to normal (nBP) or high blood pressure (hBP) and/or normal (nGly) or high fasting glycaemia (hGly). The nBP/nGly group was stratified in age tertiles to isolate the effect of ageing. AOO was used to measure arteriolar wall thickness (WT, µm), arteriolar (aID, µm) and venular internal diameter (vID, µm) and calculate arteriolar wall-to-lumen ratio (WLR), wall cross-sectional area (WCSA, µm
2
). One-way ANOVA for parametric variables and Kruskal–Wallis test for non-parametric variables were used for comparison among groups. A multivariate regression analysis including age, gender, BP, hGly and antihypertensive treatment was performed to calculate independent predictors of retinal remodeling.
Results
WT was increased with ageing (tertile1: 22.5 ± 3.2, tertile2: 24.2 ± 3.5, tertile 3: 25.2 ± 3.8,
p
= 0.001) and BP (hBP: 25.2 ± 4.1 vs nBP: 23.9 ± 3.7,
p
= 0.003). aID decreased with BP (hBP: 90.2 ± 13.4 vs nBP: 93.6 ± 11.6,
p
= 0.013) and increased with glycaemia (hGly: 97.7 ± 12.5 vs nGly: 93.6 ± 11.6,
p
= 0.002). A multivariate analysis showed independent association of hBP with WLR; hGly with WCSA; ageing with WLR and WCSA.
Conclusions
AOO non-invasively identifies retinal structural changes in human confirming that microvascular remodeling is exclusively related to hypertension, whereas vascular growth is related to ageing and hyperglycaemia.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>32494923</pmid><doi>10.1007/s00392-020-01680-3</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-8887-994X</orcidid><orcidid>https://orcid.org/0000-0002-9102-9196</orcidid><orcidid>https://orcid.org/0000-0001-5643-0497</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adaptive optics Age Aging Antihypertensives Blood glucose Blood pressure Cardiology Diabetes mellitus Diameters Endocrinology and metabolism Human health and pathology Hyperglycemia Hypertension Hypertrophy Kruskal-Wallis test Life Sciences Mathematical analysis Medicine Medicine & Public Health Microvasculature Multivariate analysis Noninvasive evaluation Optics Original Paper Pressure effects Regression analysis Retina Sensory Organs Variance analysis Wall thickness |
title | Non-invasive evaluation of retinal vascular remodeling and hypertrophy in humans: intricate effect of ageing, blood pressure and glycaemia |
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