Prognostic value of coronary CT angiography for the prediction of all-cause mortality and non-fatal myocardial infarction: a propensity score analysis
To explore the relationship between comprehensive assessment of coronary atherosclerosis by coronary CT angiography (CCTA) and all-cause mortality and non-fatal myocardial infarction in the Chinese population. Sixty-three patients from the prospective long-term study who experienced major adverse ca...
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Veröffentlicht in: | The international journal of cardiovascular imaging 2023-11, Vol.39 (11), p.2247-2254 |
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description | To explore the relationship between comprehensive assessment of coronary atherosclerosis by coronary CT angiography (CCTA) and all-cause mortality and non-fatal myocardial infarction in the Chinese population. Sixty-three patients from the prospective long-term study who experienced major adverse cardiovascular events (MACE) during the follow-up were included. No-MACE patients were 1:1 propensity-matched. Various qualitative and quantitative CCTA parameters, such as coronary artery calcium score (CACS), high-risk plaque, coronary artery disease (CAD) severity, number of obstructive vessels, segment involvement score (SIS), segment stenosis score (SSS), computed tomography-adapt Leaman score (CT-LeSc), and peri-coronary adipose tissue (PCAT) CT attenuation, were compared between both groups. Cox regression analysis was performed to determine the association between CCTA parameters and MACE. The MACE group had higher CACS, more high-risk plaques, more obstructive CAD, more obstructive vessels, higher PCAT CT attenuation, and higher coronary atherosclerotic burden (SIS: 5.76 ± 3.36 vs. 2.84 ± 3.07; SSS: 11.06 ± 8.41 vs. 3.94 ± 4.78; CT-LeSc: 11.25 ± 6.57 vs. 5.49 ± 5.82) than the control group (all
p
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doi_str_mv | 10.1007/s10554-023-02918-7 |
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p
< 0.05). On multivariable analysis, hazard ratios were 1.058 for the SSS (
p
= 0.004), and 2.152 for the obstructive CAD. When the burden of coronary atherosclerosis was defined as the CT-LeSc, hazard ratios were 1.057 for the CT-LeSc (
p
= 0.036), and 2.272 for the obstructive CAD. The SSS, CT-LeSc, and presence of obstructive CAD were independently associated with the all-cause mortality and non-fatal myocardial infarction in the suspected CADs in the Chinese population.</description><identifier>ISSN: 1875-8312</identifier><identifier>ISSN: 1569-5794</identifier><identifier>EISSN: 1875-8312</identifier><identifier>EISSN: 1573-0743</identifier><identifier>DOI: 10.1007/s10554-023-02918-7</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Adipose tissue ; Angiography ; Arteriosclerosis ; Atherosclerosis ; Attenuation ; Calcification (ectopic) ; Cardiac Imaging ; Cardiology ; Cardiovascular disease ; Computed tomography ; Coronary artery disease ; Coronary vessels ; Health hazards ; Health risks ; Heart attacks ; Heart diseases ; Imaging ; Medical imaging ; Medicine ; Medicine & Public Health ; Mortality ; Multivariable control ; Myocardial infarction ; Original Paper ; Parameters ; Radiology ; Regression analysis ; Segments ; Stenosis</subject><ispartof>The international journal of cardiovascular imaging, 2023-11, Vol.39 (11), p.2247-2254</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c352t-549a2d17f990a9dbc272caa45a8bdffa177dd1d150d172c4c7cd9791ddb754993</citedby><cites>FETCH-LOGICAL-c352t-549a2d17f990a9dbc272caa45a8bdffa177dd1d150d172c4c7cd9791ddb754993</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10554-023-02918-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10554-023-02918-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27907,27908,41471,42540,51302</link.rule.ids></links><search><creatorcontrib>Meng, Qingchao</creatorcontrib><creatorcontrib>Hou, Zhihui</creatorcontrib><creatorcontrib>Gao, Yang</creatorcontrib><creatorcontrib>Zhao, Na</creatorcontrib><creatorcontrib>An, Yunqiang</creatorcontrib><creatorcontrib>Lu, Bin</creatorcontrib><title>Prognostic value of coronary CT angiography for the prediction of all-cause mortality and non-fatal myocardial infarction: a propensity score analysis</title><title>The international journal of cardiovascular imaging</title><addtitle>Int J Cardiovasc Imaging</addtitle><description>To explore the relationship between comprehensive assessment of coronary atherosclerosis by coronary CT angiography (CCTA) and all-cause mortality and non-fatal myocardial infarction in the Chinese population. Sixty-three patients from the prospective long-term study who experienced major adverse cardiovascular events (MACE) during the follow-up were included. No-MACE patients were 1:1 propensity-matched. Various qualitative and quantitative CCTA parameters, such as coronary artery calcium score (CACS), high-risk plaque, coronary artery disease (CAD) severity, number of obstructive vessels, segment involvement score (SIS), segment stenosis score (SSS), computed tomography-adapt Leaman score (CT-LeSc), and peri-coronary adipose tissue (PCAT) CT attenuation, were compared between both groups. Cox regression analysis was performed to determine the association between CCTA parameters and MACE. The MACE group had higher CACS, more high-risk plaques, more obstructive CAD, more obstructive vessels, higher PCAT CT attenuation, and higher coronary atherosclerotic burden (SIS: 5.76 ± 3.36 vs. 2.84 ± 3.07; SSS: 11.06 ± 8.41 vs. 3.94 ± 4.78; CT-LeSc: 11.25 ± 6.57 vs. 5.49 ± 5.82) than the control group (all
p
< 0.05). On multivariable analysis, hazard ratios were 1.058 for the SSS (
p
= 0.004), and 2.152 for the obstructive CAD. When the burden of coronary atherosclerosis was defined as the CT-LeSc, hazard ratios were 1.057 for the CT-LeSc (
p
= 0.036), and 2.272 for the obstructive CAD. The SSS, CT-LeSc, and presence of obstructive CAD were independently associated with the all-cause mortality and non-fatal myocardial infarction in the suspected CADs in the Chinese population.</description><subject>Adipose tissue</subject><subject>Angiography</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Attenuation</subject><subject>Calcification (ectopic)</subject><subject>Cardiac Imaging</subject><subject>Cardiology</subject><subject>Cardiovascular disease</subject><subject>Computed tomography</subject><subject>Coronary artery disease</subject><subject>Coronary vessels</subject><subject>Health hazards</subject><subject>Health risks</subject><subject>Heart attacks</subject><subject>Heart diseases</subject><subject>Imaging</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mortality</subject><subject>Multivariable control</subject><subject>Myocardial infarction</subject><subject>Original Paper</subject><subject>Parameters</subject><subject>Radiology</subject><subject>Regression analysis</subject><subject>Segments</subject><subject>Stenosis</subject><issn>1875-8312</issn><issn>1569-5794</issn><issn>1875-8312</issn><issn>1573-0743</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kctKAzEUhgdRsF5ewFXAjZvRXBozcSfFGwi6qOtwmktNmSY1mRHmRXxeM1ZQXLgIOYTvO-eQv6pOCD4nGIuLTDDn0xpTVo4kTS12qglpBK8bRujur3q_Osh5hTERTMpJ9fGc4jLE3HmN3qHtLYoO6ZhigDSg2RxBWPq4TLB5HZCLCXWvFm2SNV53PoaRhratNfTZonVMHbS-G4plUIihdlAe0HqIGpLxpfTBQfpSrxCURnFjQx6NXIba4kE7ZJ-Pqj0HbbbH3_dh9XJ7M5_d149Pdw-z68daM067mk8lUEOEkxKDNAtNBdUAUw7NwjgHRAhjiCEcF4jqqRbaSCGJMQtRXMkOq7Nt37LJW29zp9Y-a9u2EGzss6INp5eM4IYV9PQPuop9KvuOlGSUCY5Him4pnWLOyTq1SX5d_lIRrMao1DYqVaJSX1EpUSS2lXKBw9Kmn9b_WJ9PEJoZ</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Meng, Qingchao</creator><creator>Hou, Zhihui</creator><creator>Gao, Yang</creator><creator>Zhao, Na</creator><creator>An, Yunqiang</creator><creator>Lu, Bin</creator><general>Springer Netherlands</general><general>Springer Nature B.V</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></search><sort><creationdate>20231101</creationdate><title>Prognostic value of coronary CT angiography for the prediction of all-cause mortality and non-fatal myocardial infarction: a propensity score analysis</title><author>Meng, Qingchao ; Hou, Zhihui ; Gao, Yang ; Zhao, Na ; An, Yunqiang ; Lu, Bin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-549a2d17f990a9dbc272caa45a8bdffa177dd1d150d172c4c7cd9791ddb754993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adipose tissue</topic><topic>Angiography</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis</topic><topic>Attenuation</topic><topic>Calcification (ectopic)</topic><topic>Cardiac Imaging</topic><topic>Cardiology</topic><topic>Cardiovascular disease</topic><topic>Computed tomography</topic><topic>Coronary artery disease</topic><topic>Coronary vessels</topic><topic>Health hazards</topic><topic>Health risks</topic><topic>Heart attacks</topic><topic>Heart diseases</topic><topic>Imaging</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mortality</topic><topic>Multivariable control</topic><topic>Myocardial infarction</topic><topic>Original Paper</topic><topic>Parameters</topic><topic>Radiology</topic><topic>Regression analysis</topic><topic>Segments</topic><topic>Stenosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Meng, Qingchao</creatorcontrib><creatorcontrib>Hou, Zhihui</creatorcontrib><creatorcontrib>Gao, Yang</creatorcontrib><creatorcontrib>Zhao, Na</creatorcontrib><creatorcontrib>An, Yunqiang</creatorcontrib><creatorcontrib>Lu, Bin</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><jtitle>The international journal of cardiovascular imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Meng, Qingchao</au><au>Hou, Zhihui</au><au>Gao, Yang</au><au>Zhao, Na</au><au>An, Yunqiang</au><au>Lu, Bin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prognostic value of coronary CT angiography for the prediction of all-cause mortality and non-fatal myocardial infarction: a propensity score analysis</atitle><jtitle>The international journal of cardiovascular imaging</jtitle><stitle>Int J Cardiovasc Imaging</stitle><date>2023-11-01</date><risdate>2023</risdate><volume>39</volume><issue>11</issue><spage>2247</spage><epage>2254</epage><pages>2247-2254</pages><issn>1875-8312</issn><issn>1569-5794</issn><eissn>1875-8312</eissn><eissn>1573-0743</eissn><abstract>To explore the relationship between comprehensive assessment of coronary atherosclerosis by coronary CT angiography (CCTA) and all-cause mortality and non-fatal myocardial infarction in the Chinese population. Sixty-three patients from the prospective long-term study who experienced major adverse cardiovascular events (MACE) during the follow-up were included. No-MACE patients were 1:1 propensity-matched. Various qualitative and quantitative CCTA parameters, such as coronary artery calcium score (CACS), high-risk plaque, coronary artery disease (CAD) severity, number of obstructive vessels, segment involvement score (SIS), segment stenosis score (SSS), computed tomography-adapt Leaman score (CT-LeSc), and peri-coronary adipose tissue (PCAT) CT attenuation, were compared between both groups. Cox regression analysis was performed to determine the association between CCTA parameters and MACE. The MACE group had higher CACS, more high-risk plaques, more obstructive CAD, more obstructive vessels, higher PCAT CT attenuation, and higher coronary atherosclerotic burden (SIS: 5.76 ± 3.36 vs. 2.84 ± 3.07; SSS: 11.06 ± 8.41 vs. 3.94 ± 4.78; CT-LeSc: 11.25 ± 6.57 vs. 5.49 ± 5.82) than the control group (all
p
< 0.05). On multivariable analysis, hazard ratios were 1.058 for the SSS (
p
= 0.004), and 2.152 for the obstructive CAD. When the burden of coronary atherosclerosis was defined as the CT-LeSc, hazard ratios were 1.057 for the CT-LeSc (
p
= 0.036), and 2.272 for the obstructive CAD. The SSS, CT-LeSc, and presence of obstructive CAD were independently associated with the all-cause mortality and non-fatal myocardial infarction in the suspected CADs in the Chinese population.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10554-023-02918-7</doi><tpages>8</tpages></addata></record> |
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subjects | Adipose tissue Angiography Arteriosclerosis Atherosclerosis Attenuation Calcification (ectopic) Cardiac Imaging Cardiology Cardiovascular disease Computed tomography Coronary artery disease Coronary vessels Health hazards Health risks Heart attacks Heart diseases Imaging Medical imaging Medicine Medicine & Public Health Mortality Multivariable control Myocardial infarction Original Paper Parameters Radiology Regression analysis Segments Stenosis |
title | Prognostic value of coronary CT angiography for the prediction of all-cause mortality and non-fatal myocardial infarction: a propensity score analysis |
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