Literature DB >> 30580992

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.

Ki-Bum Won1, Sang-Eun Lee2, Byoung Kwon Lee3, Hyung-Bok Park4, Ran Heo5, Asim Rizvi6, Fay Y Lin7, Amit Kumar7, Martin Hadamitzky8, Yong-Jin Kim9, Ji Min Sung2, Edoardo Conte10, Daniele Andreini10, Gianluca Pontone10, Matthew J Budoff11, Ilan Gottlieb12, Eun Ju Chun13, Filippo Cademartiri14, Erica Maffei15, Hugo Marques16, Jonathon A Leipsic17, Sanghoon Shin18, Jung Hyun Choi19, Renu Virmani20, Habib Samady21, Kavitha Chinnaiyan22, Gilbert L Raff22, Peter H Stone23, Daniel S Berman24, Jagat Narula25, Leslee J Shaw7, Jeroen J Bax26, James K Min7, Hyuk-Jae Chang27.   

Abstract

BACKGROUND: 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).
METHODS: 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).
RESULTS: 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).
CONCLUSION: 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. CLINICAL TRIAL REGISTRATION: ClinicalTrials.govNCT02803411.
Copyright © 2018. Published by Elsevier Inc.

Entities:  

Keywords:  Coronary atherosclerosis; Coronary computed tomography angiography; Pre-diabetes

Mesh:

Substances:

Year:  2018        PMID: 30580992     DOI: 10.1016/j.jcct.2018.12.002

Source DB:  PubMed          Journal:  J Cardiovasc Comput Tomogr        ISSN: 1876-861X


  8 in total

Review 1.  Reassessing the Mechanisms of Acute Coronary Syndromes.

Authors:  Peter Libby; Gerard Pasterkamp; Filippo Crea; Ik-Kyung Jang
Journal:  Circ Res       Date:  2019-01-04       Impact factor: 17.367

2.  The effect of LDL-C status on the association between increased coronary artery calcium score and compositional plaque volume progression in statins-treated diabetic patients: evaluated using serial coronary CTAs.

Authors:  Yuan Li; Zhi-Gang Yang; Rui Shi; Yue Gao; Li-Ling Shen; Ke Shi; Jin Wang; Li Jiang
Journal:  Cardiovasc Diabetol       Date:  2022-06-30       Impact factor: 8.949

3.  Myocardial Infarction Does Not Accelerate Atherosclerosis in a Mouse Model of Type 1 Diabetes.

Authors:  Farah Kramer; Amy M Martinson; Thalia Papayannopoulou; Jenny E Kanter
Journal:  Diabetes       Date:  2020-07-21       Impact factor: 9.461

4.  Quantitative assessment of coronary plaque volume change related to triglyceride glucose index: The Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging (PARADIGM) registry.

Authors:  Ki-Bum Won; Byoung Kwon Lee; Hyung-Bok Park; Ran Heo; Sang-Eun Lee; Asim Rizvi; Fay Y Lin; Amit Kumar; Martin Hadamitzky; Yong-Jin Kim; Ji Min Sung; Edoardo Conte; Daniele Andreini; Gianluca Pontone; Matthew J Budoff; Ilan Gottlieb; Eun Ju Chun; Filippo Cademartiri; Erica Maffei; Hugo Marques; Pedro de Araújo Gonçalves; Jonathon A Leipsic; Sanghoon Shin; Jung Hyun Choi; Renu Virmani; Habib Samady; Kavitha Chinnaiyan; Gilbert L Raff; Peter H Stone; Daniel S Berman; Jagat Narula; Leslee J Shaw; Jeroen J Bax; James K Min; Hyuk-Jae Chang
Journal:  Cardiovasc Diabetol       Date:  2020-07-18       Impact factor: 9.951

5.  Serial coronary computed tomography angiography-verified coronary plaque progression: comparison of stented patients with or without diabetes.

Authors:  Rui Shi; Ke Shi; Zhi-Gang Yang; Ying-Kun Guo; Kai-Yue Diao; Yue Gao; Yi Zhang; Shan Huang
Journal:  Cardiovasc Diabetol       Date:  2019-09-24       Impact factor: 9.951

6.  Cardiac CT angiography in current practice: An American society for preventive cardiology clinical practice statement.

Authors:  Matthew J Budoff; Suvasini Lakshmanan; Peter P Toth; Harvey S Hecht; Leslee J Shaw; David J Maron; Erin D Michos; Kim A Williams; Khurram Nasir; Andrew D Choi; Kavitha Chinnaiyan; James Min; Michael Blaha
Journal:  Am J Prev Cardiol       Date:  2022-01-20

7.  CT-Based Leiden Score Outperforms Confirm Score in Predicting Major Adverse Cardiovascular Events for Diabetic Patients with Suspected Coronary Artery Disease.

Authors:  Zinuan Liu; Yipu Ding; Guanhua Dou; Xi Wang; Dongkai Shan; Bai He; Jing Jing; Yundai Chen; Junjie Yang
Journal:  Korean J Radiol       Date:  2022-09-05       Impact factor: 7.109

8.  Impact of long-term glucose variability on coronary atherosclerosis progression in patients with type 2 diabetes: a 2.3 year follow-up study.

Authors:  Suhua Li; Xixiang Tang; Yanting Luo; Bingyuan Wu; Zhuoshan Huang; Zexiong Li; Long Peng; Yesheng Ling; Jieming Zhu; Junlin Zhong; Jinlai Liu; Yanming Chen
Journal:  Cardiovasc Diabetol       Date:  2020-09-25       Impact factor: 9.951

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.