MR Uniformity Ratio Estimates to Evaluate Ventricular Mechanical Dyssynchrony and Prognosis After ST-Segment Elevation Myocardial Infarction
The impact of left ventricular mechanical dyssynchrony (LVMD) on the long-term prognosis of ST-segment elevation myocardial infarction (STEMI) is unclear. MR uniformity ratio estimates (URE) can detect LVMD and assess STEMI prognosis. Retrospective analysis of a prospective multicenter registry (EAR...
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creator | Dong, Jian-Xun Wei, Lai Jin, Li-Xing He, Jie Zhao, Chen-Xu Ding, Song Kong, Ling-Cong Yang, Fan An, Dong-Ao-Lei Wu, Chong-Wen Chen, Bing-Hua Wang, Hu-Wen Yang, Yi-Ning Ge, Heng Pu, Jun |
description | The impact of left ventricular mechanical dyssynchrony (LVMD) on the long-term prognosis of ST-segment elevation myocardial infarction (STEMI) is unclear.
MR uniformity ratio estimates (URE) can detect LVMD and assess STEMI prognosis.
Retrospective analysis of a prospective multicenter registry (EARLY-MYO trial, NCT03768453).
Overall, 450 patients (50 females) with first-time STEMI were analyzed, as well as 40 participants without cardiovascular disease as controls.
3.0-T, balanced steady-state free precession cine and late gadolinium enhancement imaging.
MRI data were acquired within 1 week of symptom onset. Major adverse cardiovascular events (MACEs), including cardiovascular death, nonfatal re-infarction, hospitalization for heart failure, and stroke, were the primary clinical outcomes. LVMD was represented by circumferential URE (CURE) and radial URE (RURE) calculated using strain measurements. The patients were grouped according to clinical outcomes or URE values. Patients' clinical characteristics and MR indicators were compared.
The Student's t-test, Mann-Whitney U test, chi-square test, Fisher's exact test, receiver operating characteristic curve analysis with area under the curve, Kaplan-Meier analysis, Cox regression, logistic regression, intraclass correlation coefficient, c-index, and integrated discrimination improvement were used. P |
doi_str_mv | 10.1002/jmri.28998 |
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MR uniformity ratio estimates (URE) can detect LVMD and assess STEMI prognosis.
Retrospective analysis of a prospective multicenter registry (EARLY-MYO trial, NCT03768453).
Overall, 450 patients (50 females) with first-time STEMI were analyzed, as well as 40 participants without cardiovascular disease as controls.
3.0-T, balanced steady-state free precession cine and late gadolinium enhancement imaging.
MRI data were acquired within 1 week of symptom onset. Major adverse cardiovascular events (MACEs), including cardiovascular death, nonfatal re-infarction, hospitalization for heart failure, and stroke, were the primary clinical outcomes. LVMD was represented by circumferential URE (CURE) and radial URE (RURE) calculated using strain measurements. The patients were grouped according to clinical outcomes or URE values. Patients' clinical characteristics and MR indicators were compared.
The Student's t-test, Mann-Whitney U test, chi-square test, Fisher's exact test, receiver operating characteristic curve analysis with area under the curve, Kaplan-Meier analysis, Cox regression, logistic regression, intraclass correlation coefficient, c-index, and integrated discrimination improvement were used. P < 0.05 was considered statistically significant.
CURE and RURE were significantly lower in patients with STEMI than in controls. The median follow-up was 60.5 months. Patients with both lower CURE and RURE values experienced a significantly higher incidence of MACEs by 3.525-fold. Both CURE and RURE were independent risk factors for MACEs. The addition of UREs improved diagnostic efficacy and risk stratification based on infarct size and left ventricular ejection fraction (LVEF). The indicators associated with LVMD included male sex, serum biomarkers (peak creatine phosphokinase and cardiac troponin I), infarct size, and LVEF.
CURE and RURE may be useful to evaluate long-term prognosis after STEMI.
4 TECHNICAL EFFICACY: Stage 2.</description><identifier>ISSN: 1053-1807</identifier><identifier>ISSN: 1522-2586</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.28998</identifier><identifier>PMID: 37830268</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Biomarkers ; Cardiovascular diseases ; Cerebral infarction ; Clinical outcomes ; Congestive heart failure ; Correlation coefficient ; Correlation coefficients ; Creatine ; Creatine kinase ; Data acquisition ; Disease control ; Effectiveness ; Estimates ; Evaluation ; Field strength ; Gadolinium ; Heart attacks ; Indicators ; Mathematical analysis ; Myocardial infarction ; Prognosis ; Risk factors ; Segments ; Statistical analysis ; Statistical tests ; Troponin I ; Ventricle</subject><ispartof>Journal of magnetic resonance imaging, 2024-05, Vol.59 (5), p.1820-1831</ispartof><rights>2023 International Society for Magnetic Resonance in Medicine.</rights><rights>2024 International Society for Magnetic Resonance in Medicine</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c351t-b7f5ad26acbf08f9a90ac9dc2957884bc29e13c5738d8db7ebc838ac3e33035b3</citedby><cites>FETCH-LOGICAL-c351t-b7f5ad26acbf08f9a90ac9dc2957884bc29e13c5738d8db7ebc838ac3e33035b3</cites><orcidid>0000-0002-1405-163X ; 0009-0006-4798-0925 ; 0000-0002-2718-8416</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37830268$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dong, Jian-Xun</creatorcontrib><creatorcontrib>Wei, Lai</creatorcontrib><creatorcontrib>Jin, Li-Xing</creatorcontrib><creatorcontrib>He, Jie</creatorcontrib><creatorcontrib>Zhao, Chen-Xu</creatorcontrib><creatorcontrib>Ding, Song</creatorcontrib><creatorcontrib>Kong, Ling-Cong</creatorcontrib><creatorcontrib>Yang, Fan</creatorcontrib><creatorcontrib>An, Dong-Ao-Lei</creatorcontrib><creatorcontrib>Wu, Chong-Wen</creatorcontrib><creatorcontrib>Chen, Bing-Hua</creatorcontrib><creatorcontrib>Wang, Hu-Wen</creatorcontrib><creatorcontrib>Yang, Yi-Ning</creatorcontrib><creatorcontrib>Ge, Heng</creatorcontrib><creatorcontrib>Pu, Jun</creatorcontrib><title>MR Uniformity Ratio Estimates to Evaluate Ventricular Mechanical Dyssynchrony and Prognosis After ST-Segment Elevation Myocardial Infarction</title><title>Journal of magnetic resonance imaging</title><addtitle>J Magn Reson Imaging</addtitle><description>The impact of left ventricular mechanical dyssynchrony (LVMD) on the long-term prognosis of ST-segment elevation myocardial infarction (STEMI) is unclear.
MR uniformity ratio estimates (URE) can detect LVMD and assess STEMI prognosis.
Retrospective analysis of a prospective multicenter registry (EARLY-MYO trial, NCT03768453).
Overall, 450 patients (50 females) with first-time STEMI were analyzed, as well as 40 participants without cardiovascular disease as controls.
3.0-T, balanced steady-state free precession cine and late gadolinium enhancement imaging.
MRI data were acquired within 1 week of symptom onset. Major adverse cardiovascular events (MACEs), including cardiovascular death, nonfatal re-infarction, hospitalization for heart failure, and stroke, were the primary clinical outcomes. LVMD was represented by circumferential URE (CURE) and radial URE (RURE) calculated using strain measurements. The patients were grouped according to clinical outcomes or URE values. Patients' clinical characteristics and MR indicators were compared.
The Student's t-test, Mann-Whitney U test, chi-square test, Fisher's exact test, receiver operating characteristic curve analysis with area under the curve, Kaplan-Meier analysis, Cox regression, logistic regression, intraclass correlation coefficient, c-index, and integrated discrimination improvement were used. P < 0.05 was considered statistically significant.
CURE and RURE were significantly lower in patients with STEMI than in controls. The median follow-up was 60.5 months. Patients with both lower CURE and RURE values experienced a significantly higher incidence of MACEs by 3.525-fold. Both CURE and RURE were independent risk factors for MACEs. The addition of UREs improved diagnostic efficacy and risk stratification based on infarct size and left ventricular ejection fraction (LVEF). The indicators associated with LVMD included male sex, serum biomarkers (peak creatine phosphokinase and cardiac troponin I), infarct size, and LVEF.
CURE and RURE may be useful to evaluate long-term prognosis after STEMI.
4 TECHNICAL EFFICACY: Stage 2.</description><subject>Biomarkers</subject><subject>Cardiovascular diseases</subject><subject>Cerebral infarction</subject><subject>Clinical outcomes</subject><subject>Congestive heart failure</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Creatine</subject><subject>Creatine kinase</subject><subject>Data acquisition</subject><subject>Disease control</subject><subject>Effectiveness</subject><subject>Estimates</subject><subject>Evaluation</subject><subject>Field strength</subject><subject>Gadolinium</subject><subject>Heart attacks</subject><subject>Indicators</subject><subject>Mathematical analysis</subject><subject>Myocardial infarction</subject><subject>Prognosis</subject><subject>Risk factors</subject><subject>Segments</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Troponin I</subject><subject>Ventricle</subject><issn>1053-1807</issn><issn>1522-2586</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpdkctKAzEUhoMotlY3PoAE3IgwmklMJ7MsWrVgUXpxO2QySU2ZSTTJCPMOPrSprS5cnQvf-c_h_ACcpugqRQhfrxunrzDLc7YH-inFOMGUDfdjjihJUoayHjjyfo0QyvMbegh6JGME4SHrg6_pDC6NVtY1OnRwxoO2cOyDbniQHoZYfPK6jQV8lSY4LdqaOziV4o0bLXgN7zrvOyPenDUd5KaCL86ujPXaw5EK0sH5IpnLVROn4biWn5sNBk47K7irdBSYGMWd2HSPwYHitZcnuzgAy_vx4vYxeXp-mNyOnhJBaBqSMlOUV3jIRakQUznPERd5JXBOM8ZuypjIlAiaEVaxqsxkKRhhXBBJCCK0JANwsdV9d_ajlT4UjfZC1jU30ra-wCyLs9mQphE9_4eubetMvK6IWgRRSgiO1OWWEs5676Qq3l38oOuKFBUbj4qNR8WPRxE-20m2ZSOrP_TXFPIN-4aPiQ</recordid><startdate>202405</startdate><enddate>202405</enddate><creator>Dong, Jian-Xun</creator><creator>Wei, Lai</creator><creator>Jin, Li-Xing</creator><creator>He, Jie</creator><creator>Zhao, Chen-Xu</creator><creator>Ding, Song</creator><creator>Kong, Ling-Cong</creator><creator>Yang, Fan</creator><creator>An, Dong-Ao-Lei</creator><creator>Wu, Chong-Wen</creator><creator>Chen, Bing-Hua</creator><creator>Wang, Hu-Wen</creator><creator>Yang, Yi-Ning</creator><creator>Ge, Heng</creator><creator>Pu, Jun</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1405-163X</orcidid><orcidid>https://orcid.org/0009-0006-4798-0925</orcidid><orcidid>https://orcid.org/0000-0002-2718-8416</orcidid></search><sort><creationdate>202405</creationdate><title>MR Uniformity Ratio Estimates to Evaluate Ventricular Mechanical Dyssynchrony and Prognosis After ST-Segment Elevation Myocardial Infarction</title><author>Dong, Jian-Xun ; Wei, Lai ; Jin, Li-Xing ; He, Jie ; Zhao, Chen-Xu ; Ding, Song ; Kong, Ling-Cong ; Yang, Fan ; An, Dong-Ao-Lei ; Wu, Chong-Wen ; Chen, Bing-Hua ; Wang, Hu-Wen ; Yang, Yi-Ning ; Ge, Heng ; Pu, Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c351t-b7f5ad26acbf08f9a90ac9dc2957884bc29e13c5738d8db7ebc838ac3e33035b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Biomarkers</topic><topic>Cardiovascular diseases</topic><topic>Cerebral infarction</topic><topic>Clinical outcomes</topic><topic>Congestive heart failure</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Creatine</topic><topic>Creatine kinase</topic><topic>Data acquisition</topic><topic>Disease control</topic><topic>Effectiveness</topic><topic>Estimates</topic><topic>Evaluation</topic><topic>Field strength</topic><topic>Gadolinium</topic><topic>Heart attacks</topic><topic>Indicators</topic><topic>Mathematical analysis</topic><topic>Myocardial infarction</topic><topic>Prognosis</topic><topic>Risk factors</topic><topic>Segments</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Troponin I</topic><topic>Ventricle</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dong, Jian-Xun</creatorcontrib><creatorcontrib>Wei, Lai</creatorcontrib><creatorcontrib>Jin, Li-Xing</creatorcontrib><creatorcontrib>He, Jie</creatorcontrib><creatorcontrib>Zhao, Chen-Xu</creatorcontrib><creatorcontrib>Ding, Song</creatorcontrib><creatorcontrib>Kong, Ling-Cong</creatorcontrib><creatorcontrib>Yang, Fan</creatorcontrib><creatorcontrib>An, Dong-Ao-Lei</creatorcontrib><creatorcontrib>Wu, Chong-Wen</creatorcontrib><creatorcontrib>Chen, Bing-Hua</creatorcontrib><creatorcontrib>Wang, Hu-Wen</creatorcontrib><creatorcontrib>Yang, Yi-Ning</creatorcontrib><creatorcontrib>Ge, Heng</creatorcontrib><creatorcontrib>Pu, Jun</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dong, Jian-Xun</au><au>Wei, Lai</au><au>Jin, Li-Xing</au><au>He, Jie</au><au>Zhao, Chen-Xu</au><au>Ding, Song</au><au>Kong, Ling-Cong</au><au>Yang, Fan</au><au>An, Dong-Ao-Lei</au><au>Wu, Chong-Wen</au><au>Chen, Bing-Hua</au><au>Wang, Hu-Wen</au><au>Yang, Yi-Ning</au><au>Ge, Heng</au><au>Pu, Jun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MR Uniformity Ratio Estimates to Evaluate Ventricular Mechanical Dyssynchrony and Prognosis After ST-Segment Elevation Myocardial Infarction</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J Magn Reson Imaging</addtitle><date>2024-05</date><risdate>2024</risdate><volume>59</volume><issue>5</issue><spage>1820</spage><epage>1831</epage><pages>1820-1831</pages><issn>1053-1807</issn><issn>1522-2586</issn><eissn>1522-2586</eissn><abstract>The impact of left ventricular mechanical dyssynchrony (LVMD) on the long-term prognosis of ST-segment elevation myocardial infarction (STEMI) is unclear.
MR uniformity ratio estimates (URE) can detect LVMD and assess STEMI prognosis.
Retrospective analysis of a prospective multicenter registry (EARLY-MYO trial, NCT03768453).
Overall, 450 patients (50 females) with first-time STEMI were analyzed, as well as 40 participants without cardiovascular disease as controls.
3.0-T, balanced steady-state free precession cine and late gadolinium enhancement imaging.
MRI data were acquired within 1 week of symptom onset. Major adverse cardiovascular events (MACEs), including cardiovascular death, nonfatal re-infarction, hospitalization for heart failure, and stroke, were the primary clinical outcomes. LVMD was represented by circumferential URE (CURE) and radial URE (RURE) calculated using strain measurements. The patients were grouped according to clinical outcomes or URE values. Patients' clinical characteristics and MR indicators were compared.
The Student's t-test, Mann-Whitney U test, chi-square test, Fisher's exact test, receiver operating characteristic curve analysis with area under the curve, Kaplan-Meier analysis, Cox regression, logistic regression, intraclass correlation coefficient, c-index, and integrated discrimination improvement were used. P < 0.05 was considered statistically significant.
CURE and RURE were significantly lower in patients with STEMI than in controls. The median follow-up was 60.5 months. Patients with both lower CURE and RURE values experienced a significantly higher incidence of MACEs by 3.525-fold. Both CURE and RURE were independent risk factors for MACEs. The addition of UREs improved diagnostic efficacy and risk stratification based on infarct size and left ventricular ejection fraction (LVEF). The indicators associated with LVMD included male sex, serum biomarkers (peak creatine phosphokinase and cardiac troponin I), infarct size, and LVEF.
CURE and RURE may be useful to evaluate long-term prognosis after STEMI.
4 TECHNICAL EFFICACY: Stage 2.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>37830268</pmid><doi>10.1002/jmri.28998</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-1405-163X</orcidid><orcidid>https://orcid.org/0009-0006-4798-0925</orcidid><orcidid>https://orcid.org/0000-0002-2718-8416</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biomarkers Cardiovascular diseases Cerebral infarction Clinical outcomes Congestive heart failure Correlation coefficient Correlation coefficients Creatine Creatine kinase Data acquisition Disease control Effectiveness Estimates Evaluation Field strength Gadolinium Heart attacks Indicators Mathematical analysis Myocardial infarction Prognosis Risk factors Segments Statistical analysis Statistical tests Troponin I Ventricle |
title | MR Uniformity Ratio Estimates to Evaluate Ventricular Mechanical Dyssynchrony and Prognosis After ST-Segment Elevation Myocardial Infarction |
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