Literature DB >> 23735956

Progression of carotid plaque volume predicts cardiovascular events.

Thapat Wannarong1, Grace Parraga, Daniel Buchanan, Aaron Fenster, Andrew A House, Daniel G Hackam, J David Spence.   

Abstract

BACKGROUND AND
PURPOSE: Carotid ultrasound evaluation of intima-media thickness (IMT) and plaque burden has been used for risk stratification and for evaluation of antiatherosclerotic therapies. Increasing evidence indicates that measuring plaque burden is superior to measuring IMT for both purposes. We compared progression/regression of IMT, total plaque area (TPA), and total plaque volume (TPV) as predictors of cardiovascular outcomes.
METHODS: IMT, TPA, and TPV were measured at baseline in 349 patients attending vascular prevention clinics; they had TPA of 40 to 600 mm(2) at baseline to qualify for enrollment. Participants were followed up for ≤5 years (median, 3.17 years) to ascertain vascular death, myocardial infarction, stroke, and transient ischemic attacks. Follow-up measurements 1 year later were available in 323 cases for IMT and TPA, and in 306 for TPV.
RESULTS: Progression of TPV predicted stroke, death or TIA (Kaplan-Meier logrank P=0.001), stroke/death/MI (P=0.008) and Stroke/Death/TIA/Myocardial infarction (any Cardiovascular event) (P=0.001). Progression of TPA weakly predicted Stroke/Death/TIA (P=0.097) but not stroke/death/MI (P=0.59) or any CV event (P=0.143); likewise change in IMT did not predict Stroke/Death/MI (P=0.13) or any CV event (P=0.455 ). In Cox regression, TPV progression remained a significant predictor of events after adjustment for coronary risk factors (P=0.001) but change in TPA did not. IMT change predicted events in an inverse manner; regression of IMT predicted events (P=0.004).
CONCLUSIONS: For assessment of response to antiatherosclerotic therapy, measurement of TPV is superior to both IMT and TPA.

Entities:  

Keywords:  Carotid; IMT; Myocardial infarction; Risk; Stroke; Ultrasound; plaque

Mesh:

Year:  2013        PMID: 23735956     DOI: 10.1161/STROKEAHA.113.001461

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  30 in total

1.  Lp(a) (Lipoprotein(a)) Levels Predict Progression of Carotid Atherosclerosis in Subjects With Atherosclerotic Cardiovascular Disease on Intensive Lipid Therapy: An Analysis of the AIM-HIGH (Atherothrombosis Intervention in Metabolic Syndrome With Low HDL/High Triglycerides: Impact on Global Health Outcomes) Carotid Magnetic Resonance Imaging Substudy-Brief Report.

Authors:  Daniel S Hippe; Binh An P Phan; Jie Sun; Daniel A Isquith; Kevin D O'Brien; John R Crouse; Todd Anderson; John Huston; Santica M Marcovina; Thomas S Hatsukami; Chun Yuan; Xue-Qiao Zhao
Journal:  Arterioscler Thromb Vasc Biol       Date:  2018-01-04       Impact factor: 8.311

2.  Iron, inflammation and atherosclerosis risk in men vs. perimenopausal women.

Authors:  Subha V Raman; Travis P Sharkey-Toppen; Tam Tran; Jim X Liu; Beth McCarthy; Xin He; Suzanne Smart; Martha Gulati; Randell Wexler; Orlando P Simonetti; Rebecca D Jackson
Journal:  Atherosclerosis       Date:  2015-03-20       Impact factor: 5.162

3.  Residential Exposure to PM2.5 and Ozone and Progression of Subclinical Atherosclerosis Among Women Transitioning Through Menopause: The Study of Women's Health Across the Nation.

Authors:  Chunzhe Duan; Evelyn O Talbott; Rachel Broadwin; Maria Brooks; Karen Matthews; Emma Barinas-Mitchell
Journal:  J Womens Health (Larchmt)       Date:  2019-02-07       Impact factor: 2.681

Review 4.  Current status of carotid ultrasound in atherosclerosis.

Authors:  Stella Sin Yee Ho
Journal:  Quant Imaging Med Surg       Date:  2016-06

5.  Segment-specific progression of carotid artery atherosclerosis: a magnetic resonance vessel wall imaging study.

Authors:  Fei Yuan; Lichen Zhang; Peng Peng; Huiyu Qiao; Jianming Cai; Xihai Zhao
Journal:  Neuroradiology       Date:  2019-11-13       Impact factor: 2.804

6.  The relationship between carotid intima-media thickness and carotid plaque in the Northern Manhattan Study.

Authors:  Tatjana Rundek; Hannah Gardener; David Della-Morte; Chuanhui Dong; Digna Cabral; Eduardo Tiozzo; Eugene Roberts; Milita Crisby; Kuen Cheung; Ryan Demmer; Mitchell S V Elkind; Ralph L Sacco; Moise Desvarieux
Journal:  Atherosclerosis       Date:  2015-06-03       Impact factor: 5.162

7.  Lipid Changes Around the Final Menstrual Period Predict Carotid Subclinical Disease in Postmenopausal Women.

Authors:  Karen A Matthews; Samar R El Khoudary; Maria M Brooks; Carol A Derby; Siobán D Harlow; Emma J M Barinas-Mitchell; Rebecca C Thurston
Journal:  Stroke       Date:  2016-12-01       Impact factor: 7.914

8.  Colour Doppler Evaluation of Extracranial Carotid Artery in Patients Presenting with Acute Ischemic Stroke and Correlation with Various Risk Factors.

Authors:  Samrin Haq; Manoj Mathur; Jasvir Singh; Navkiran Kaur; Raminderpal Singh Sibia; Rajesh Badhan
Journal:  J Clin Diagn Res       Date:  2017-03-01

Review 9.  Multimodality imaging for the prevention of cardiovascular events: Coronary artery calcium and beyond.

Authors:  Duygu Kocyigit; Alexandra Scanameo; Bo Xu
Journal:  Cardiovasc Diagn Ther       Date:  2021-06

10.  Attenuation Coefficient Parameter Computations for Tissue Composition Assessment of Carotid Atherosclerotic Plaque in Vivo.

Authors:  Catherine N Steffel; Shahriar Salamat; Thomas D Cook; Stephanie M Wilbrand; Robert J Dempsey; Carol C Mitchell; Tomy Varghese
Journal:  Ultrasound Med Biol       Date:  2020-04-11       Impact factor: 2.998

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