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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Published inJournal of cardiovascular computed tomography Vol. 13; no. 2; pp. 142 - 147
Main Authors 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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Published United States Elsevier Inc 01.03.2019
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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 < 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.
AbstractList 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 < 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.
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 mm vs. pre-DM: 51.0 ± 84.3 mm vs. DM: 72.6 ± 95.0 mm ; p < 0.001) and annualized PVC (normal: 14.9 ± 24.9 mm vs. pre-DM: 15.7 ± 23.8 mm vs. DM: 21.0 ± 27.7 mm ; 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.
BACKGROUNDData 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).METHODSA 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).RESULTSDuring 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 < 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).CONCLUSIONDM 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.CLINICAL TRIAL REGISTRATIONClinicalTrials.govNCT02803411.
Author Lee, Sang-Eun
Raff, Gilbert L.
Chun, Eun Ju
Virmani, Renu
Narula, Jagat
Andreini, Daniele
Stone, Peter H.
Rizvi, Asim
Berman, Daniel S.
Lin, Fay Y.
Conte, Edoardo
Heo, Ran
Hadamitzky, Martin
Shin, Sanghoon
Cademartiri, Filippo
Shaw, Leslee J.
Choi, Jung Hyun
Marques, Hugo
Lee, Byoung Kwon
Chang, Hyuk-Jae
Min, James K.
Kim, Yong-Jin
Maffei, Erica
Sung, Ji Min
Samady, Habib
Bax, Jeroen J.
Gottlieb, Ilan
Chinnaiyan, Kavitha
Leipsic, Jonathon A.
Won, Ki-Bum
Pontone, Gianluca
Kumar, Amit
Budoff, Matthew J.
Park, Hyung-Bok
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  organization: Department of Radiology and Nuclear Medicine, German Heart Center Munich, Munich, Germany
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  organization: Seoul National University Hospital, Seoul, South Korea
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  givenname: Ji Min
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  organization: Department of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
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  surname: Conte
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  surname: Budoff
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  organization: Department of Medicine, Los Angeles Biomedical Research Institute, Torrance, CA, USA
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  surname: Gottlieb
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  organization: Department of Radiology, Casa de Saude São Jose, Rio de Janeiro, Brazil
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  givenname: Eun Ju
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  surname: Chun
  fullname: Chun, Eun Ju
  organization: Department of Radiology, Seoul National University Bundang Hospital, Sungnam, South Korea
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  givenname: Jung Hyun
  surname: Choi
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  organization: Department of Cardiology, Busan University Hospital, Busan, South Korea
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  organization: Department of Cardiology, William Beaumont Hospital, Royal Oak, MI, USA
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  organization: Department of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea
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Keywords Coronary atherosclerosis
Coronary computed tomography angiography
Pre-diabetes
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Snippet Data on the impact of glycemic status on coronary plaque progression have been limited. This study evaluated the association between glycemic status and...
BACKGROUNDData on the impact of glycemic status on coronary plaque progression have been limited. This study evaluated the association between glycemic status...
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SubjectTerms 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
URI https://dx.doi.org/10.1016/j.jcct.2018.12.002
https://www.ncbi.nlm.nih.gov/pubmed/30580992
https://search.proquest.com/docview/2160152989
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