scholarly journals Pericoronary adipose tissue computed tomography attenuation distinguishes different stages of coronary artery disease: a cross-sectional study

Author(s):  
Andrew Lin ◽  
Nitesh Nerlekar ◽  
Jeremy Yuvaraj ◽  
Katrina Fernandes ◽  
Cathy Jiang ◽  
...  

Abstract Aims  Vascular inflammation inhibits local adipogenesis in pericoronary adipose tissue (PCAT) and this can be detected on coronary computed tomography angiography (CCTA) as an increase in CT attenuation of PCAT surrounding the proximal right coronary artery (RCA). In this cross-sectional study, we assessed the utility of PCAT CT attenuation as an imaging biomarker of coronary inflammation in distinguishing different stages of coronary artery disease (CAD). Methods and results Sixty patients with acute myocardial infarction (MI) were prospectively recruited to undergo CCTA within 48 h of admission, prior to invasive angiography. These participants were matched to patients with stable CAD (n = 60) and controls with no CAD (n = 60) by age, gender, BMI, risk factors, medications, and CT tube voltage. PCAT attenuation around the proximal RCA was quantified per-patient using semi-automated software. Patients with MI had a higher PCAT attenuation (−82.3 ± 5.5 HU) compared with patients with stable CAD (−90.6 ± 5.7 HU, P < 0.001) and controls (−95.8 ± 6.2 HU, P < 0.001). PCAT attenuation was significantly increased in stable CAD patients over controls (P = 0.01). The association of PCAT attenuation with stage of CAD was independent of age, gender, cardiovascular risk factors, epicardial adipose tissue volume, and CCTA-derived quantitative plaque burden. No interaction was observed for clinical presentation (MI vs. stable CAD) and plaque burden on PCAT attenuation. Conclusion PCAT CT attenuation as a quantitative measure of global coronary inflammation independently distinguishes patients with MI vs. stable CAD vs. no CAD. Future studies should assess whether this imaging biomarker can track patient responses to therapies in different stages of CAD.

2021 ◽  
Vol 3 (5) ◽  
pp. 52-55
Author(s):  
Khudayenoor ◽  
Ayesha Shaheen ◽  
Aimen Fatima ◽  
Zohaib Saleem ◽  
Hafeez Arshad ◽  
...  

Coronary artery disease (CAD) is a very ordinary health problem around the globe. CAD is affected by numerous factors like diabetes, obesity, smoking, gender, and diet. However, the association of CAD with diet is understudied in our region that’s why our study was aimed to evaluate the effect of diet on CAD incidence. This cross-sectional study was completed among local population of Rawalpindi, Pakistan in almost 6 months from November 2020 to April 2021. People were taken in our study via set criteria. Data was collected by self-structured proforma. Data analysis was performed by applying IBM SPSS version 25. Descriptive statistics were applied for quantitative variables. Statistical tests like Chi-square test and Spearman correlation analysis were applied to know the association, direction, and strength of study variables. Our current study displays overall high prevalence CAD (17.48%) among study population. Mean value of age for study participants was 45.42 with SD of ±8.01years. Prevalence of CAD was more common among females, faster food eaters and fresh fruit and raw vegetables non-eaters. Gender, fast food, and fresh fruits and vegetables were associated with CHD significantly with p-values 0.030, 0.0007, and 0.0006 respectively. Strength and direction for fast food and CAD association was very strong and positive while for association between fresh fruits and raw vegetables and CAD was very strong and negative with correlation coefficient +0.812 and -0.831 respectively. In a nutshell, current study indicates high prevalence of CAD especially among females, fast food eaters and fresh fruits and raw vegetables non-eaters. Higher consumption of fast foods leads to higher incidence of CAD and vice versa while higher consumption of fresh fruits and raw vegetables bring down the incidence of CAD incidence and vice versa. So, we need to create awareness among people about the impact of food on CAD and gender specific interventions for each gender to lower down the CAD incidence.


2019 ◽  
Vol 90 (10) ◽  
pp. 1096-1105 ◽  
Author(s):  
Dayana D. Mendonça ◽  
Mariana V. Furtado ◽  
Roberta A. Sarmento ◽  
Bruna B. Nicoletto ◽  
Gabriela C. Souza ◽  
...  

2018 ◽  
Vol 31 (5) ◽  
pp. 839-847 ◽  
Author(s):  
Didem Sezgin Ozcan ◽  
Belma Fusun Koseoglu ◽  
Kevser Gulcihan Balci ◽  
Cemile Sevgi Polat ◽  
Ozgur Ulas Ozcan ◽  
...  

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