11 CMR longitudinal strain analysis in aortic stenosis
IntroductionThere is interest in measures of myocardial health in aortic stenosis (AS) to identify left ventricular (LV) decompensation and optimise timing of surgical intervention. CMR global longitudinal strain (GLS) is increasingly explored. We investigated the relationship of CMR GLS with establ...
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creator | Spath, Nick B Gomez, Miquel Everett, Russell J Semple, Scott I Chin, Calvin WL Newby, David E Dweck, Marc R |
description | IntroductionThere is interest in measures of myocardial health in aortic stenosis (AS) to identify left ventricular (LV) decompensation and optimise timing of surgical intervention. CMR global longitudinal strain (GLS) is increasingly explored. We investigated the relationship of CMR GLS with established markers of AS severity, myocardial fibrosis and clinical outcomes.MethodsCMRs from AS patients (n=159) and healthy controls (n=42) were analysed using commercially available software. LV contours were drawn (long and short-axis cines). Automated analysis calculated 2D and 3D strain. Myocardial fibrosis was assessed using T1-mapping and late-gadolinium enhancement (LGE). Mortality was assessed at 1,466 days (median). Statistical analysis planning was published prior.Results2D-LVGLS correlated with AS severity (Vmax;r=0.24;p=0.0005), ejection fraction (EF, r=−0.33; p |
doi_str_mv | 10.1136/heartjnl-2018-BCVI.26 |
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fullrecord | <record><control><sourceid>proquest_bmj_p</sourceid><recordid>TN_cdi_proquest_journals_2033188652</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2033188652</sourcerecordid><originalsourceid>FETCH-LOGICAL-b692-8609b1e2ec94aa5eb735d7cc12da69d653e6a9a038b864ba531566e03928d4f33</originalsourceid><addsrcrecordid>eNo1kE1LxDAQhoMouK7-BKHguWuSaabJUYsfCyuCLOItJG1WU7rtmrSHvXnxj_pLbFk9zcM7L8PwEHLJ6IIxwOsPZ0Jft03KKZPpbfG6XHA8IjOWoZyyt-ORQYgUKeSn5CzGmlKaKYkzIhn7-founl6SpmvffT9UvjVNEvtgfJuYkffRx2TiLvS-HDeu7cbonJxsTBPdxd-ck_X93bp4TFfPD8viZpVaVDyVSJVljrtSZcYIZ3MQVV6WjFcGVYUCHBplKEgrMbNGABOIjoLisso2AHNydTi7C93n4GKv624I41tRcwrApETBxxY9tOy21rvgtybsNaN60qP_9ehJj570aI7wC9-aWu0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2033188652</pqid></control><display><type>article</type><title>11 CMR longitudinal strain analysis in aortic stenosis</title><source>PubMed Central</source><creator>Spath, Nick B ; Gomez, Miquel ; Everett, Russell J ; Semple, Scott I ; Chin, Calvin WL ; Newby, David E ; Dweck, Marc R</creator><creatorcontrib>Spath, Nick B ; Gomez, Miquel ; Everett, Russell J ; Semple, Scott I ; Chin, Calvin WL ; Newby, David E ; Dweck, Marc R</creatorcontrib><description>IntroductionThere is interest in measures of myocardial health in aortic stenosis (AS) to identify left ventricular (LV) decompensation and optimise timing of surgical intervention. CMR global longitudinal strain (GLS) is increasingly explored. We investigated the relationship of CMR GLS with established markers of AS severity, myocardial fibrosis and clinical outcomes.MethodsCMRs from AS patients (n=159) and healthy controls (n=42) were analysed using commercially available software. LV contours were drawn (long and short-axis cines). Automated analysis calculated 2D and 3D strain. Myocardial fibrosis was assessed using T1-mapping and late-gadolinium enhancement (LGE). Mortality was assessed at 1,466 days (median). Statistical analysis planning was published prior.Results2D-LVGLS correlated with AS severity (Vmax;r=0.24;p=0.0005), ejection fraction (EF, r=−0.33; p<0.0001) and was reduced in mid-wall (p=0.0002) and infarct LGE (p<0.0001). Extracellular volume fraction (ECV%) and indexed ECV were associated with 2D-LVGLS (r=0.16; p=0.02, r=0.42; p<0.0001). Compared to controls, 2D-LVGLS was unchanged in mild/moderate AS but lower in severe (p=0.02) and severe-symptomatic AS (p=0.002), although substantial overlap was seen across groups. 3D-LVGLS was unchanged between controls and AS, and no correlation with any parameter above was observed. Adjusted, iECV and EF were associated with reduced 2D-LVGLS (beta 0.08; p=0.001 and beta −0.13; p<0.001), similarly for 3D-LVGLS (beta 0.09; p=0.05 and beta −0.25; p<0.001). No mortality difference was demonstrated between 2D-LVGLS tertile. EF was the sole mortality predictor (HR 0.93; 95% CI: 0.88 to 0.98).ConclusionCMR 2D-LVGLS measured may be a functional manifestation of myocardial fibrosis and LV decompensation in AS. However, substantial overlap between groups was observed and 2D-LVGLS did not predict clinical outcomes.</description><identifier>ISSN: 1355-6037</identifier><identifier>EISSN: 1468-201X</identifier><identifier>DOI: 10.1136/heartjnl-2018-BCVI.26</identifier><language>eng</language><publisher>London: BMJ Publishing Group LTD</publisher><subject>Clinical outcomes ; Ejection fraction ; Mortality</subject><ispartof>Heart (British Cardiac Society), 2018-05, Vol.104 (Suppl 5), p.A10</ispartof><rights>2018, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Copyright: 2018 © 2018, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Spath, Nick B</creatorcontrib><creatorcontrib>Gomez, Miquel</creatorcontrib><creatorcontrib>Everett, Russell J</creatorcontrib><creatorcontrib>Semple, Scott I</creatorcontrib><creatorcontrib>Chin, Calvin WL</creatorcontrib><creatorcontrib>Newby, David E</creatorcontrib><creatorcontrib>Dweck, Marc R</creatorcontrib><title>11 CMR longitudinal strain analysis in aortic stenosis</title><title>Heart (British Cardiac Society)</title><description>IntroductionThere is interest in measures of myocardial health in aortic stenosis (AS) to identify left ventricular (LV) decompensation and optimise timing of surgical intervention. CMR global longitudinal strain (GLS) is increasingly explored. We investigated the relationship of CMR GLS with established markers of AS severity, myocardial fibrosis and clinical outcomes.MethodsCMRs from AS patients (n=159) and healthy controls (n=42) were analysed using commercially available software. LV contours were drawn (long and short-axis cines). Automated analysis calculated 2D and 3D strain. Myocardial fibrosis was assessed using T1-mapping and late-gadolinium enhancement (LGE). Mortality was assessed at 1,466 days (median). Statistical analysis planning was published prior.Results2D-LVGLS correlated with AS severity (Vmax;r=0.24;p=0.0005), ejection fraction (EF, r=−0.33; p<0.0001) and was reduced in mid-wall (p=0.0002) and infarct LGE (p<0.0001). Extracellular volume fraction (ECV%) and indexed ECV were associated with 2D-LVGLS (r=0.16; p=0.02, r=0.42; p<0.0001). Compared to controls, 2D-LVGLS was unchanged in mild/moderate AS but lower in severe (p=0.02) and severe-symptomatic AS (p=0.002), although substantial overlap was seen across groups. 3D-LVGLS was unchanged between controls and AS, and no correlation with any parameter above was observed. Adjusted, iECV and EF were associated with reduced 2D-LVGLS (beta 0.08; p=0.001 and beta −0.13; p<0.001), similarly for 3D-LVGLS (beta 0.09; p=0.05 and beta −0.25; p<0.001). No mortality difference was demonstrated between 2D-LVGLS tertile. EF was the sole mortality predictor (HR 0.93; 95% CI: 0.88 to 0.98).ConclusionCMR 2D-LVGLS measured may be a functional manifestation of myocardial fibrosis and LV decompensation in AS. However, substantial overlap between groups was observed and 2D-LVGLS did not predict clinical outcomes.</description><subject>Clinical outcomes</subject><subject>Ejection fraction</subject><subject>Mortality</subject><issn>1355-6037</issn><issn>1468-201X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNo1kE1LxDAQhoMouK7-BKHguWuSaabJUYsfCyuCLOItJG1WU7rtmrSHvXnxj_pLbFk9zcM7L8PwEHLJ6IIxwOsPZ0Jft03KKZPpbfG6XHA8IjOWoZyyt-ORQYgUKeSn5CzGmlKaKYkzIhn7-founl6SpmvffT9UvjVNEvtgfJuYkffRx2TiLvS-HDeu7cbonJxsTBPdxd-ck_X93bp4TFfPD8viZpVaVDyVSJVljrtSZcYIZ3MQVV6WjFcGVYUCHBplKEgrMbNGABOIjoLisso2AHNydTi7C93n4GKv624I41tRcwrApETBxxY9tOy21rvgtybsNaN60qP_9ehJj570aI7wC9-aWu0</recordid><startdate>201805</startdate><enddate>201805</enddate><creator>Spath, Nick B</creator><creator>Gomez, Miquel</creator><creator>Everett, Russell J</creator><creator>Semple, Scott I</creator><creator>Chin, Calvin WL</creator><creator>Newby, David E</creator><creator>Dweck, Marc R</creator><general>BMJ Publishing Group LTD</general><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>201805</creationdate><title>11 CMR longitudinal strain analysis in aortic stenosis</title><author>Spath, Nick B ; Gomez, Miquel ; Everett, Russell J ; Semple, Scott I ; Chin, Calvin WL ; Newby, David E ; Dweck, Marc R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b692-8609b1e2ec94aa5eb735d7cc12da69d653e6a9a038b864ba531566e03928d4f33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Clinical outcomes</topic><topic>Ejection fraction</topic><topic>Mortality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Spath, Nick B</creatorcontrib><creatorcontrib>Gomez, Miquel</creatorcontrib><creatorcontrib>Everett, Russell J</creatorcontrib><creatorcontrib>Semple, Scott I</creatorcontrib><creatorcontrib>Chin, Calvin WL</creatorcontrib><creatorcontrib>Newby, David E</creatorcontrib><creatorcontrib>Dweck, Marc R</creatorcontrib><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>Science Database (Alumni Edition)</collection><collection>STEM 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 Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</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>ProQuest Central Basic</collection><jtitle>Heart (British Cardiac Society)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Spath, Nick B</au><au>Gomez, Miquel</au><au>Everett, Russell J</au><au>Semple, Scott I</au><au>Chin, Calvin WL</au><au>Newby, David E</au><au>Dweck, Marc R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>11 CMR longitudinal strain analysis in aortic stenosis</atitle><jtitle>Heart (British Cardiac Society)</jtitle><date>2018-05</date><risdate>2018</risdate><volume>104</volume><issue>Suppl 5</issue><spage>A10</spage><pages>A10-</pages><issn>1355-6037</issn><eissn>1468-201X</eissn><abstract>IntroductionThere is interest in measures of myocardial health in aortic stenosis (AS) to identify left ventricular (LV) decompensation and optimise timing of surgical intervention. CMR global longitudinal strain (GLS) is increasingly explored. We investigated the relationship of CMR GLS with established markers of AS severity, myocardial fibrosis and clinical outcomes.MethodsCMRs from AS patients (n=159) and healthy controls (n=42) were analysed using commercially available software. LV contours were drawn (long and short-axis cines). Automated analysis calculated 2D and 3D strain. Myocardial fibrosis was assessed using T1-mapping and late-gadolinium enhancement (LGE). Mortality was assessed at 1,466 days (median). Statistical analysis planning was published prior.Results2D-LVGLS correlated with AS severity (Vmax;r=0.24;p=0.0005), ejection fraction (EF, r=−0.33; p<0.0001) and was reduced in mid-wall (p=0.0002) and infarct LGE (p<0.0001). Extracellular volume fraction (ECV%) and indexed ECV were associated with 2D-LVGLS (r=0.16; p=0.02, r=0.42; p<0.0001). Compared to controls, 2D-LVGLS was unchanged in mild/moderate AS but lower in severe (p=0.02) and severe-symptomatic AS (p=0.002), although substantial overlap was seen across groups. 3D-LVGLS was unchanged between controls and AS, and no correlation with any parameter above was observed. Adjusted, iECV and EF were associated with reduced 2D-LVGLS (beta 0.08; p=0.001 and beta −0.13; p<0.001), similarly for 3D-LVGLS (beta 0.09; p=0.05 and beta −0.25; p<0.001). No mortality difference was demonstrated between 2D-LVGLS tertile. EF was the sole mortality predictor (HR 0.93; 95% CI: 0.88 to 0.98).ConclusionCMR 2D-LVGLS measured may be a functional manifestation of myocardial fibrosis and LV decompensation in AS. However, substantial overlap between groups was observed and 2D-LVGLS did not predict clinical outcomes.</abstract><cop>London</cop><pub>BMJ Publishing Group LTD</pub><doi>10.1136/heartjnl-2018-BCVI.26</doi></addata></record> |
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title | 11 CMR longitudinal strain analysis in aortic stenosis |
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