scholarly journals Traditional Cardiovascular Risk Factors Explained the Minority of the Variability in Carotid Plaque

2013 ◽  
Vol 57 (2) ◽  
pp. 602
Author(s):  
F. Kuo ◽  
H. Gardener ◽  
C. Dong
VASA ◽  
2009 ◽  
Vol 38 (4) ◽  
pp. 357-364 ◽  
Author(s):  
Giannoukas ◽  
Sfyroeras ◽  
Griffin ◽  
Saleptsis ◽  
Antoniou ◽  
...  

Background: Severity of stenosis remains the main factor for assessing risk of stroke in patients with internal carotid artery (ICA) disease. This study was conducted to investigate the association of plaque echostructure and other established and emerging cardiovascular risk factors with symptomatic ICA disease. Design: Cross-sectional study of consecutive patients with significant (> 50 %) ICA stenosis. Patients and methods: Carotid plaque echostructure, smoking, hypertension, diabetes mellitus, serum lipoprotein (a), homocysteine, vitamin B12, folate, cholesterol to high-density lipoprotein ratio, triglycerides, C-reactive protein, and the Framingham risk score were assessed in 124 consecutive patients (70 asymptomatic; 54 symptomatic) with significant (> 50 %) ICA stenosis. Results: The asymptomatic and symptomatic groups did not differ in terms of gender distribution (p = 0.76) and severity of stenosis (p = 0.62). Echolucent plaques (type 1 and 2) were more predominant in patients with symptomatic disease (p = 0.004, OR = 2.13, 95 % CI = 1.26-3.6). Patients with plaques type 1 were relatively younger than those with type 4 (p = 0.02). None of the other factors assessed had any significant association with symptomatic disease and any type of carotid plaque. Conclusions: Besides the severity of carotid stenosis, the presence of an echolucent plaque appears as an important factor associated with symptomatic ICA disease. Also, young patients are more likely to have an echolucent plaque suggesting an age-related association with plaque maturation.


2011 ◽  
Vol 28 (4) ◽  
pp. 877-887 ◽  
Author(s):  
Danijela Vukadinovic ◽  
Sietske Rozie ◽  
Marjon van Gils ◽  
Theo van Walsum ◽  
Rashindra Manniesing ◽  
...  

BMJ Open ◽  
2018 ◽  
Vol 8 (5) ◽  
pp. e019385 ◽  
Author(s):  
Bolli Thorsson ◽  
Gudny Eiriksdottir ◽  
Sigurdur Sigurdsson ◽  
Elias Freyr Gudmundsson ◽  
Michael L Bots ◽  
...  

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Frank Kuo ◽  
Hannah Gardener ◽  
Chuanhui Dong ◽  
Digna Cabral ◽  
David Della-Morte ◽  
...  

Background and Objectives: Subclinical atherosclerotic plaque is an important marker of increased vascular risk. Traditional risk factors explain less than 50% of the variance in atherosclerotic carotid plaque (ACP). Identifying factors underlying unexplained ACP, either deleterious or protective, may help targeting preventive strategies with significant scientific impact and health relevance. We aimed to identify individuals with unexplained subclinical ACP or unexplained protection against ACP using 2-D high-resolution B-mode carotid ultrasound. Methods: As a part of the NINDS carotid imaging project of the Northern Manhattan Study, 1,790 stroke-free individuals (mean age 69±9; 60% women; 61% Hispanic, 19% black, 18% white) were assessed for total ACP burden (TACP), the sum of plaque areas in all carotid arteries (mm 2 ) within an individual and transformed using a cube root function (x 1/3 ) for normality. Multiple linear regression models were conducted: (1) including pre-specified traditional risk factors (age, sex, LDL-cholesterol, diabetes, pack-years of smoking, blood pressure (BP), and treatment for BP); and (2) the best-fit model with addition of socioeconomic and less traditional factors including inflammation biomarkers and homocysteine. The standardized TACP residual scores were constructed from the best-fit regression model to select individuals with unexplained TACP. Results: Prevalence of carotid plaque was 58%. Mean TACP was 12.1±mm 2 before the x 1/3 transformation. Traditional model (model 1) explained 21% of the variance in TACP ( R 2 = 0.21). Age (15%), smoking (3%), systolic BP (1.2%), and diabetes (1%) were most contributing factors. The best-fit model (model 2) explained 23% of TACP, with most contribution by age (14%), smoking (3%), systolic BP (1%), fasting glucose (1%), LDL:HDL ratio (1%), diastolic BP (1%), homocysteine (1%) and white blood cell count (1%). Conclusion: Variation in subclinical carotid plaque is largely unexplained by traditional and novel risk cardiovascular risk factors. Identification of genetic and environmental factors underlying unexplained subclinical atherosclerosis is of utmost importance for successful prevention of cardiovascular disease and stroke.


2016 ◽  
Vol 34 (Supplement 1) ◽  
pp. e72 ◽  
Author(s):  
Francesco Spannella ◽  
Federico Giulietti ◽  
Silvia Buscarini ◽  
Piero Giordano ◽  
Maddalena Ricci ◽  
...  

2010 ◽  
Vol 143 (3) ◽  
pp. e57-e59 ◽  
Author(s):  
Pyung Chun Oh ◽  
Seung Hwan Han ◽  
Ju Seung Kim ◽  
Jeong Beom Park ◽  
Kwang Kon Koh

Stroke ◽  
2012 ◽  
Vol 43 (7) ◽  
pp. 1755-1760 ◽  
Author(s):  
Frank Kuo ◽  
Hannah Gardener ◽  
Chuanhui Dong ◽  
Digna Cabral ◽  
David Della-Morte ◽  
...  

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