Longitudinal assessment of coronary plaque volume change related to glycemic status using serial coronary computed tomography angiography: A PARADIGM (Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography Imaging) substudy

Data on the impact of glycemic status on coronary plaque progression have been limited. This study evaluated the association between glycemic status and coronary plaque volume change (PVC) using coronary computed tomography angiography (CCTA). A total of 1296 subjects (61 ± 9, 56.9% male) who underw...

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Veröffentlicht in:Journal of cardiovascular computed tomography 2019-03, Vol.13 (2), p.142-147
Hauptverfasser: Won, Ki-Bum, Lee, Sang-Eun, Lee, Byoung Kwon, Park, Hyung-Bok, Heo, Ran, Rizvi, Asim, Lin, Fay Y., Kumar, Amit, Hadamitzky, Martin, Kim, Yong-Jin, Sung, Ji Min, Conte, Edoardo, Andreini, Daniele, Pontone, Gianluca, Budoff, Matthew J., Gottlieb, Ilan, Chun, Eun Ju, Cademartiri, Filippo, Maffei, Erica, Marques, Hugo, Leipsic, Jonathon A., Shin, Sanghoon, Choi, Jung Hyun, Virmani, Renu, Samady, Habib, Chinnaiyan, Kavitha, Raff, Gilbert L., Stone, Peter H., Berman, Daniel S., Narula, Jagat, Shaw, Leslee J., Bax, Jeroen J., Min, James K., Chang, Hyuk-Jae
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container_end_page 147
container_issue 2
container_start_page 142
container_title Journal of cardiovascular computed tomography
container_volume 13
creator Won, Ki-Bum
Lee, Sang-Eun
Lee, Byoung Kwon
Park, Hyung-Bok
Heo, Ran
Rizvi, Asim
Lin, Fay Y.
Kumar, Amit
Hadamitzky, Martin
Kim, Yong-Jin
Sung, Ji Min
Conte, Edoardo
Andreini, Daniele
Pontone, Gianluca
Budoff, Matthew J.
Gottlieb, Ilan
Chun, Eun Ju
Cademartiri, Filippo
Maffei, Erica
Marques, Hugo
Leipsic, Jonathon A.
Shin, Sanghoon
Choi, Jung Hyun
Virmani, Renu
Samady, Habib
Chinnaiyan, Kavitha
Raff, Gilbert L.
Stone, Peter H.
Berman, Daniel S.
Narula, Jagat
Shaw, Leslee J.
Bax, Jeroen J.
Min, James K.
Chang, Hyuk-Jae
description Data on the impact of glycemic status on coronary plaque progression have been limited. This study evaluated the association between glycemic status and coronary plaque volume change (PVC) using coronary computed tomography angiography (CCTA). A total of 1296 subjects (61 ± 9, 56.9% male) who underwent serial CCTA with available glycemic status were enrolled and analyzed from the Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging (PARADIGM) registry. The median inter-scan period was 3.2 (2.6–4.4) years. Quantitative assessment of coronary plaques was performed at both scans. All participants were categorized into the following groups according to glycemic status: normal, pre-diabetes (pre-DM), and diabetes mellitus (DM). During the follow-up, significant differences in PVC (normal: 51.3 ± 83.3 mm3 vs. pre-DM: 51.0 ± 84.3 mm3 vs. DM: 72.6 ± 95.0 mm3; p 
doi_str_mv 10.1016/j.jcct.2018.12.002
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This study evaluated the association between glycemic status and coronary plaque volume change (PVC) using coronary computed tomography angiography (CCTA). A total of 1296 subjects (61 ± 9, 56.9% male) who underwent serial CCTA with available glycemic status were enrolled and analyzed from the Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging (PARADIGM) registry. The median inter-scan period was 3.2 (2.6–4.4) years. Quantitative assessment of coronary plaques was performed at both scans. All participants were categorized into the following groups according to glycemic status: normal, pre-diabetes (pre-DM), and diabetes mellitus (DM). During the follow-up, significant differences in PVC (normal: 51.3 ± 83.3 mm3 vs. pre-DM: 51.0 ± 84.3 mm3 vs. DM: 72.6 ± 95.0 mm3; p &lt; 0.001) and annualized PVC (normal: 14.9 ± 24.9 mm3 vs. pre-DM: 15.7 ± 23.8 mm3 vs. DM: 21.0 ± 27.7 mm3; p = 0.001) were observed among the 3 groups. Compared with normal individuals, individuals with pre-DM showed no significant differences in the adjusted odds ratio (OR) for plaque progression (PP) (1.338, 95% confidence interval [CI] 0.967–1.853; p = 0.079). However, the adjusted OR for PP was higher in DM individuals than in normal individuals (1.635, 95% CI 1.126–2.375; p = 0.010). DM had an incremental impact on coronary PP, but pre-DM appeared to have no significant association with an increased risk of coronary PP after adjusting for confounding factors. 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This study evaluated the association between glycemic status and coronary plaque volume change (PVC) using coronary computed tomography angiography (CCTA). A total of 1296 subjects (61 ± 9, 56.9% male) who underwent serial CCTA with available glycemic status were enrolled and analyzed from the Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging (PARADIGM) registry. The median inter-scan period was 3.2 (2.6–4.4) years. Quantitative assessment of coronary plaques was performed at both scans. All participants were categorized into the following groups according to glycemic status: normal, pre-diabetes (pre-DM), and diabetes mellitus (DM). During the follow-up, significant differences in PVC (normal: 51.3 ± 83.3 mm3 vs. pre-DM: 51.0 ± 84.3 mm3 vs. DM: 72.6 ± 95.0 mm3; p &lt; 0.001) and annualized PVC (normal: 14.9 ± 24.9 mm3 vs. pre-DM: 15.7 ± 23.8 mm3 vs. DM: 21.0 ± 27.7 mm3; p = 0.001) were observed among the 3 groups. Compared with normal individuals, individuals with pre-DM showed no significant differences in the adjusted odds ratio (OR) for plaque progression (PP) (1.338, 95% confidence interval [CI] 0.967–1.853; p = 0.079). However, the adjusted OR for PP was higher in DM individuals than in normal individuals (1.635, 95% CI 1.126–2.375; p = 0.010). DM had an incremental impact on coronary PP, but pre-DM appeared to have no significant association with an increased risk of coronary PP after adjusting for confounding factors. ClinicalTrials.govNCT02803411.</description><subject>Coronary atherosclerosis</subject><subject>Coronary computed tomography angiography</subject><subject>Pre-diabetes</subject><issn>1934-5925</issn><issn>1876-861X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kUFv1DAUhCMEoqXwBzggH8shwXbixEFcoi1dVlrEqioSN8vrvGS9SuLUdirlxyPV0W7LjZMta9438zxR9JHghGCSfzkmR6V8QjHhCaEJxvRVdEl4kcc8J39eh3uZZjErKbuI3jl3xJgVBPO30UWKGcdlSS-jv1sztNpPtR5kh6Rz4FwPg0emQcpYM0g7o7GTDxOgR9NNPSB1kEMLyEInPdTIG9R2s4JeK-S89JNDk9NDixxYHZgvFGX6cTpN9Ka1cjzMKJD0-f4VVWhX3VU3m_VPdL2z4Tlk0WZYolT-AHfGqQ6s8cFo11VLohvwYPvNEKD7Ga2eDe6DwXqBBmX1zwFtetmGZJ-Rm_Yu7Dy_j940snPw4XxeRb9vv9-vfsTbX-vNqtrGKqPUx6rMCp6WUBdZnTdZyRueYcJUAzznaU64KmrC2J6lBWeyUJLKnLCc8TxTrOZNehVdn7ijNSG386LXTkHXyQHM5AQleeDRkpdBSk9SZY1zFhoxWt2H_xMEi6V2cRRL7WKpXRAqQu1h6NOZP-17qF9GnnsOgm8nAYQtHzVY4ZSGQUGtLQRYbfT_-E_sfsVL</recordid><startdate>201903</startdate><enddate>201903</enddate><creator>Won, Ki-Bum</creator><creator>Lee, Sang-Eun</creator><creator>Lee, Byoung Kwon</creator><creator>Park, Hyung-Bok</creator><creator>Heo, Ran</creator><creator>Rizvi, Asim</creator><creator>Lin, Fay Y.</creator><creator>Kumar, Amit</creator><creator>Hadamitzky, Martin</creator><creator>Kim, Yong-Jin</creator><creator>Sung, Ji Min</creator><creator>Conte, Edoardo</creator><creator>Andreini, Daniele</creator><creator>Pontone, Gianluca</creator><creator>Budoff, Matthew J.</creator><creator>Gottlieb, Ilan</creator><creator>Chun, Eun Ju</creator><creator>Cademartiri, Filippo</creator><creator>Maffei, Erica</creator><creator>Marques, Hugo</creator><creator>Leipsic, Jonathon A.</creator><creator>Shin, Sanghoon</creator><creator>Choi, Jung Hyun</creator><creator>Virmani, Renu</creator><creator>Samady, Habib</creator><creator>Chinnaiyan, Kavitha</creator><creator>Raff, Gilbert L.</creator><creator>Stone, Peter H.</creator><creator>Berman, Daniel S.</creator><creator>Narula, Jagat</creator><creator>Shaw, Leslee J.</creator><creator>Bax, Jeroen J.</creator><creator>Min, James K.</creator><creator>Chang, Hyuk-Jae</creator><general>Elsevier Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9616-1946</orcidid><orcidid>https://orcid.org/0000-0001-5502-9933</orcidid><orcidid>https://orcid.org/0000-0003-0402-5769</orcidid><orcidid>https://orcid.org/0000-0002-0579-3279</orcidid><orcidid>https://orcid.org/0000-0002-1041-8035</orcidid></search><sort><creationdate>201903</creationdate><title>Longitudinal assessment of coronary plaque volume change related to glycemic status using serial coronary computed tomography angiography: A PARADIGM (Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography Imaging) substudy</title><author>Won, Ki-Bum ; Lee, Sang-Eun ; Lee, Byoung Kwon ; Park, Hyung-Bok ; Heo, Ran ; Rizvi, Asim ; Lin, Fay Y. ; Kumar, Amit ; Hadamitzky, Martin ; Kim, Yong-Jin ; Sung, Ji Min ; Conte, Edoardo ; Andreini, Daniele ; Pontone, Gianluca ; Budoff, Matthew J. ; Gottlieb, Ilan ; Chun, Eun Ju ; Cademartiri, Filippo ; Maffei, Erica ; Marques, Hugo ; Leipsic, Jonathon A. ; Shin, Sanghoon ; Choi, Jung Hyun ; Virmani, Renu ; Samady, Habib ; Chinnaiyan, Kavitha ; Raff, Gilbert L. ; Stone, Peter H. ; Berman, Daniel S. ; Narula, Jagat ; Shaw, Leslee J. ; Bax, Jeroen J. ; Min, James K. ; Chang, Hyuk-Jae</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c422t-c947839ed74d6f498f84015cfe8683618c7d155b53785a7ca2a61565864c5d8f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Coronary atherosclerosis</topic><topic>Coronary computed tomography angiography</topic><topic>Pre-diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Won, Ki-Bum</creatorcontrib><creatorcontrib>Lee, Sang-Eun</creatorcontrib><creatorcontrib>Lee, Byoung Kwon</creatorcontrib><creatorcontrib>Park, Hyung-Bok</creatorcontrib><creatorcontrib>Heo, Ran</creatorcontrib><creatorcontrib>Rizvi, Asim</creatorcontrib><creatorcontrib>Lin, Fay Y.</creatorcontrib><creatorcontrib>Kumar, Amit</creatorcontrib><creatorcontrib>Hadamitzky, Martin</creatorcontrib><creatorcontrib>Kim, Yong-Jin</creatorcontrib><creatorcontrib>Sung, Ji Min</creatorcontrib><creatorcontrib>Conte, Edoardo</creatorcontrib><creatorcontrib>Andreini, Daniele</creatorcontrib><creatorcontrib>Pontone, Gianluca</creatorcontrib><creatorcontrib>Budoff, Matthew J.</creatorcontrib><creatorcontrib>Gottlieb, Ilan</creatorcontrib><creatorcontrib>Chun, Eun Ju</creatorcontrib><creatorcontrib>Cademartiri, Filippo</creatorcontrib><creatorcontrib>Maffei, Erica</creatorcontrib><creatorcontrib>Marques, Hugo</creatorcontrib><creatorcontrib>Leipsic, Jonathon A.</creatorcontrib><creatorcontrib>Shin, Sanghoon</creatorcontrib><creatorcontrib>Choi, Jung Hyun</creatorcontrib><creatorcontrib>Virmani, Renu</creatorcontrib><creatorcontrib>Samady, Habib</creatorcontrib><creatorcontrib>Chinnaiyan, Kavitha</creatorcontrib><creatorcontrib>Raff, Gilbert L.</creatorcontrib><creatorcontrib>Stone, Peter H.</creatorcontrib><creatorcontrib>Berman, Daniel S.</creatorcontrib><creatorcontrib>Narula, Jagat</creatorcontrib><creatorcontrib>Shaw, Leslee J.</creatorcontrib><creatorcontrib>Bax, Jeroen J.</creatorcontrib><creatorcontrib>Min, James K.</creatorcontrib><creatorcontrib>Chang, Hyuk-Jae</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of cardiovascular computed tomography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Won, Ki-Bum</au><au>Lee, Sang-Eun</au><au>Lee, Byoung Kwon</au><au>Park, Hyung-Bok</au><au>Heo, Ran</au><au>Rizvi, Asim</au><au>Lin, Fay Y.</au><au>Kumar, Amit</au><au>Hadamitzky, Martin</au><au>Kim, Yong-Jin</au><au>Sung, Ji Min</au><au>Conte, Edoardo</au><au>Andreini, Daniele</au><au>Pontone, Gianluca</au><au>Budoff, Matthew J.</au><au>Gottlieb, Ilan</au><au>Chun, Eun Ju</au><au>Cademartiri, Filippo</au><au>Maffei, Erica</au><au>Marques, Hugo</au><au>Leipsic, Jonathon A.</au><au>Shin, Sanghoon</au><au>Choi, Jung Hyun</au><au>Virmani, Renu</au><au>Samady, Habib</au><au>Chinnaiyan, Kavitha</au><au>Raff, Gilbert L.</au><au>Stone, Peter H.</au><au>Berman, Daniel S.</au><au>Narula, Jagat</au><au>Shaw, Leslee J.</au><au>Bax, Jeroen J.</au><au>Min, James K.</au><au>Chang, Hyuk-Jae</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Longitudinal assessment of coronary plaque volume change related to glycemic status using serial coronary computed tomography angiography: A PARADIGM (Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography Imaging) substudy</atitle><jtitle>Journal of cardiovascular computed tomography</jtitle><addtitle>J Cardiovasc Comput Tomogr</addtitle><date>2019-03</date><risdate>2019</risdate><volume>13</volume><issue>2</issue><spage>142</spage><epage>147</epage><pages>142-147</pages><issn>1934-5925</issn><eissn>1876-861X</eissn><abstract>Data on the impact of glycemic status on coronary plaque progression have been limited. This study evaluated the association between glycemic status and coronary plaque volume change (PVC) using coronary computed tomography angiography (CCTA). A total of 1296 subjects (61 ± 9, 56.9% male) who underwent serial CCTA with available glycemic status were enrolled and analyzed from the Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging (PARADIGM) registry. The median inter-scan period was 3.2 (2.6–4.4) years. Quantitative assessment of coronary plaques was performed at both scans. All participants were categorized into the following groups according to glycemic status: normal, pre-diabetes (pre-DM), and diabetes mellitus (DM). During the follow-up, significant differences in PVC (normal: 51.3 ± 83.3 mm3 vs. pre-DM: 51.0 ± 84.3 mm3 vs. DM: 72.6 ± 95.0 mm3; p &lt; 0.001) and annualized PVC (normal: 14.9 ± 24.9 mm3 vs. pre-DM: 15.7 ± 23.8 mm3 vs. DM: 21.0 ± 27.7 mm3; p = 0.001) were observed among the 3 groups. Compared with normal individuals, individuals with pre-DM showed no significant differences in the adjusted odds ratio (OR) for plaque progression (PP) (1.338, 95% confidence interval [CI] 0.967–1.853; p = 0.079). However, the adjusted OR for PP was higher in DM individuals than in normal individuals (1.635, 95% CI 1.126–2.375; p = 0.010). DM had an incremental impact on coronary PP, but pre-DM appeared to have no significant association with an increased risk of coronary PP after adjusting for confounding factors. ClinicalTrials.govNCT02803411.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30580992</pmid><doi>10.1016/j.jcct.2018.12.002</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-9616-1946</orcidid><orcidid>https://orcid.org/0000-0001-5502-9933</orcidid><orcidid>https://orcid.org/0000-0003-0402-5769</orcidid><orcidid>https://orcid.org/0000-0002-0579-3279</orcidid><orcidid>https://orcid.org/0000-0002-1041-8035</orcidid></addata></record>
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source Elsevier ScienceDirect Journals
subjects Coronary atherosclerosis
Coronary computed tomography angiography
Pre-diabetes
title Longitudinal assessment of coronary plaque volume change related to glycemic status using serial coronary computed tomography angiography: A PARADIGM (Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography Imaging) substudy
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