Reproducibility of coronary atherosclerotic plaque characteristics in populations with low, intermediate, and high prevalence of coronary artery disease by multidetector computer tomography: a guide to reliable visual coronary plaque assessments

2016 ◽  
Vol 32 (10) ◽  
pp. 1555-1566 ◽  
Author(s):  
Martina C. de Knegt ◽  
Jesper J. Linde ◽  
Andreas Fuchs ◽  
Børge G. Nordestgaard ◽  
Lars V. Køber ◽  
...  
Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Uli C Broedl ◽  
Corinna Lebherz ◽  
Michael Lehrke ◽  
Renee Stark ◽  
Helmholtz Zentrum ◽  
...  

We sought to examine the relationship of adiponectin with coronary atherosclerotic plaque morphology in patients with stable typical or atypical chest pain. There is increasing recognition that lesion composition rather than size determines the acute complications of atherosclerotic disease. Low serum adiponectin levels are associated with coronary artery disease and future incidence of acute coronary syndrome. The impact of adiponectin on lesion composition still remains to be determined. Serum adiponectin levels were determined in 303 patients with stable typical or atypical chest pain, who underwent dual-source multi-slice CT-angiography to exclude coronary artery stenosis. Atherosclerotic plaques were classified as calcified, mixed or non-calcified plaques. In bivariate analysis adiponectin levels were inversely correlated with total coronary plaque burden (r=−0.22, p<0.0001), mixed (r=−0.20, p=0.0007) and non-calcified plaques (r=−0.18, p=0.003). No correlation was seen with calcified plaques (r=−0.05, p=0.39). In a fully adjusted multivariate model containing age, sex, body mass index, hypertension, diabetes mellitus, smoking, family history of coronary artery disease, LDL-cholesterol, HDL-cholesterol, triglycerides, hsCRP levels, medication and pericardial adipose tissue volume, adiponectin levels remained predictive of total plaque burden (estimate: −0.035, 95% CI: −0.051 to −0.019, p<0.0001), mixed (estimate: −0.083, 95% CI: −0.127 to −0.039, p=0.0002) and non-calcified plaques (estimate: −0.076, 95% CI: −0.114 to −0.038, p=0.0001). Since the majority of coronary plaques were calcified plaques, adiponectin levels account for only 3% of the variability in total plaque number. In contrast, adiponectin accounts for approximately 20% of the variability in mixed and non-calcified plaque burden. Adiponectin levels predict mixed and non-calcified coronary atherosclerotic plaque burden. Low adiponectin levels may contribute to coronary plaque vulnerability and may thus play a role in the pathophysiology of acute coronary syndrome.


2013 ◽  
Vol 19 (10) ◽  
pp. S154-S155
Author(s):  
Atsushi Katoh ◽  
Tomoko Tsuru ◽  
Megumi Watanabe ◽  
Hiroshi Niiyama ◽  
Haruhito Harada ◽  
...  

1977 ◽  
Author(s):  
S. K. Durairaj ◽  
A. H. Khan ◽  
L. J. Haywood

Risk factors were compared in 42 patients (pts) with coronary artery disease (CAD) and 18 with radiographically patent arteries (RPA) on angiography performed three weeks to six months after documented myocardial infarction (Ml). All pts had typical clinical and laboratory findings during the acute attack. All pts were below age 50 and both groups had a similar distribution of racial background (Caucasian, black and Mexican-American). Psychiatric problems were not more frequent in either group. The data demonstrated a high prevalence of standard risk factors in the CAD group for hypertension (28 of 42 = 67%), hypercholesterolemia (25 of 42 = 60%) and smoking (17 of 42 = 64%), and similarly high prevalence of smoking (16 of 18 = 89%), heavy labor (12 of 18 = 61%) and obesity (9 of 18 = 50%) in the RPA group. Factors significantly more common in the CAD group as compared to the RPA group by the Chi Square test were:Hypertension (P < 0.001), hypercholesterolemia (P < 0.001), diabetes (P < 0.001), and family history (P < 0.05). Factors more common in the RPA group were heavy alcohol consumption (P < 0.001), smoking (P < 0.05), heavy laborer occupation (P < 0.001) and obesity (P < 0.001). The data suggest that risk factor screening would identify individuals at risk from coronary artery disease but would be unreliable in identifying individuals at risk for MI with RPA. Further study is indicated to determine what factors operate to produce ischemia and infarction in the RPA group of pts.


2016 ◽  
Vol 11 ◽  
pp. 7-12 ◽  
Author(s):  
Daisuke Tezuka ◽  
Jun-ichi Suzuki ◽  
Hisanori Kosuge ◽  
Norio Aoyama ◽  
Yuichi Izumi ◽  
...  

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