TRADITIONAL RISK FACTORS ARE PREDICTIVE ON SEGMENTAL LOCALIZATION OF CORONARY ARTERY DISEASE

2008 ◽  
Vol 9 (1) ◽  
pp. 146
Author(s):  
G. Tacoy ◽  
S. Balcioglu ◽  
S. Akinci ◽  
S.A. Kocaman ◽  
G.E. Yazici ◽  
...  
Circulation ◽  
2000 ◽  
Vol 102 (11) ◽  
pp. 1227-1232 ◽  
Author(s):  
Jeffrey L. Anderson ◽  
Joseph B. Muhlestein ◽  
Benjamin D. Horne ◽  
John F. Carlquist ◽  
Tami L. Bair ◽  
...  

2014 ◽  
Vol 25 (6) ◽  
pp. 1124-1129 ◽  
Author(s):  
Jalaj Garg ◽  
Parasuram Krishnamoorthy ◽  
Chandrasekar Palaniswamy ◽  
Rajiv Paudel ◽  
Saurav Chatterjee ◽  
...  

AbstractBackground: Accelerated coronary atherosclerosis in patients with Kawasaki disease, in conjunction with coronary artery aneurysm and stenosis that characterise this disease, are potential risk factors for developing coronary artery disease in young adults. We aimed to determine the prevalence and predictors of coronary artery disease in adult patients with Kawasaki disease. Methods: All patients aged 18−55 years of age diagnosed with Kawasaki disease were sampled from Nationwide Inpatient Sample database using International Classification of Diseases 9th revision (ICD 9 code 446.1) from 2009 to 2010. Demographics, prevalence of coronary artery disease, and other traditional risk factors in adult patients with Kawasaki disease were analysed using ICD 9 codes. Results: The prevalence of Kawasaki disease among adults was 0.0005% (n=215) of all in-hospital admissions in United States. The mean age was 27.3 years with women (27.6 years) older than men (27.1 years). Traditional risk factors were hypertension (21%), hyperlipidaemia (15.6%), diabetes (11.5%), tobacco use (8.8%), and obesity (8.8%), with no significant difference between men and women. Coronary artery disease (32.4%), however, was more prevalent in men (44.7%) than in women (12.1%; p=0.03). In multivariate regression analysis, after adjusting for demographics and traditional risk factors, hypertension (OR=13.2, p=0.03) was an independent risk factor of coronary artery disease. Conclusion: There was increased preponderance of coronary artery disease in men with Kawasaki disease. On multivariate analysis, hypertension was found to be the only independent predictor of coronary artery disease in this population after adjusting for other risk factors.


Author(s):  
Roopali Khanna ◽  
Avinash Bansal ◽  
Sudeep Kumar ◽  
Naveen Garg ◽  
Satyendra Tewari ◽  
...  

Background Incidence of coronary artery disease (CAD) increases significantly in postmenopausal women, which is assumed to be an imbalance between serum androgen and estrogen levels. However, studies assessing serum sex hormones and CAD are few and have shown conflicting results. Objective To compare serum sex hormone levels and traditional risk factors among postmenopausal women with angiographically proven CAD and without CAD. Method The study included consecutive postmenopausal women undergoing coronary angiography in our institute from May 2016 to June 2017. The clinical and coronary angiographic data and traditional risk factors were assessed. Fasting serum levels of estradiol (E2), testosterone (T), sex hormone-binding globulin (SHBG), dehydroepiandrosterone sulfate (DHEA-S), and insulin were measured. Results A total of 121 postmenopausal women were included in the study; 69 were CAD and 52 without CAD. Single-vessel disease was most common (55.1%), followed by double-vessel disease (24.6%) and triple-vessel disease (20.3%). Women with CAD had significantly lower estradiol/testosterone (E2/T) ratio (3.7 ± 2.6 vs. 5.4 ± 4.2, p = 0.008) compared with non-CAD group. SHBG, DHEA-S, and insulin levels were similar in CAD and non-CAD groups. The serum level of estradiol predicted the E2/T ratio (r = 0.316, p < 0.001) and positively associated with DHEA (r = 0.181, p = 0.047). Testosterone was negatively associated with E2/T ratio (r = – 0.682, p < 0.001). There was no significant correlation of estrogen, testosterone, or E2/T ratio to lipid profile (total cholesterol, HDL, LDL) in women with CAD. Conclusion E2/T ratio was significantly lowered in postmenopausal women with CAD. E2/T ratio may be a used a predictor of CAD in postmenopausal women


2019 ◽  
Vol 20 (8) ◽  
pp. 889-896
Author(s):  
Mingjun Xu ◽  
Mei Zhang ◽  
Jinfeng Xu ◽  
Mei Zhu ◽  
Cheng Zhang ◽  
...  

Abstract Aims Carotid intima-media thickness (CIMT) has been widely used to risk stratify and predict coronary artery disease (CAD) despite its significant limitations. To test whether radial artery intima thickness (RIT) is closely associated with atherosclerotic risk factors, and whether RIT has an independent and additive value for diagnosis of CAD. Methods and results One hundred and sixteen consecutive CAD patients and 79 age and gender-matched healthy controls were enrolled in this study. RIT, radial media thickness, radial intima-media thickness, and CIMT were measured with a high-resolution ultrasound biomicroscopy. Binary logistic regression was used to assess association between CAD and ultrasonic parameters, biochemical biomarkers or traditional risk factors. Receiver-operating characteristic curves were plotted to compare performances of several diagnostic models. RIT was positively associated with age, systolic blood pressure, statin administration, and hypertension. The independent value of RIT for differentiating CAD was similar to that of CIMT, but the add-on value of RIT to traditional risk factors for detecting CAD was superior to that of CIMT. Moreover, addition of RIT and CIMT to traditional risk factors increased AUC for detecting CAD from 0.724 to 0.867 significantly (P = 0.003). Conclusion RIT could detect CAD independently similarly to CIMT. The add-on value of RIT to traditional risk factors for detecting CAD was superior to CIMT and addition of RIT and CIMT to traditional risk factors markedly increased the power to diagnose CAD. Thus, RIT measured by ultrasound biomicroscopy provided a novel approach to non-invasive diagnosis of CAD.


2020 ◽  
Vol 40 (11) ◽  
pp. 2738-2746
Author(s):  
George Hindy ◽  
Krishna G. Aragam ◽  
Kenney Ng ◽  
Mark Chaffin ◽  
Luca A. Lotta ◽  
...  

Objective: To determine the relationship of a genome-wide polygenic score for coronary artery disease (GPS CAD ) with lifetime trajectories of CAD risk, directly compare its predictive capacity to traditional risk factors, and assess its interplay with the Pooled Cohort Equations (PCE) clinical risk estimator. Approach and Results: We studied GPS CAD in 28 556 middle-aged participants of the Malmö Diet and Cancer Study, of whom 4122 (14.4%) developed CAD over a median follow-up of 21.3 years. A pronounced gradient in lifetime risk of CAD was observed—16% for those in the lowest GPS CAD decile to 48% in the highest. We evaluated the discriminative capacity of the GPS CAD —as assessed by change in the C-statistic from a baseline model including age and sex—among 5685 individuals with PCE risk estimates available. The increment for the GPS CAD (+0.045, P <0.001) was higher than for any of 11 traditional risk factors (range +0.007 to +0.032). Minimal correlation was observed between GPS CAD and 10-year risk defined by the PCE ( r =0.03), and addition of GPS CAD improved the C-statistic of the PCE model by 0.026. A significant gradient in lifetime risk was observed for the GPS CAD , even among individuals within a given PCE clinical risk stratum. We replicated key findings—noting strikingly consistent results—in 325 003 participants of the UK Biobank. Conclusions: GPS CAD —a risk estimator available from birth—stratifies individuals into varying trajectories of clinical risk for CAD. Implementation of GPS CAD may enable identification of high-risk individuals early in life, decades in advance of manifest risk factors or disease.


2016 ◽  
Vol 24 (1) ◽  
pp. 157-163 ◽  
Author(s):  
Ahmed Amara ◽  
Meriem Mrad ◽  
Aicha Sayeh ◽  
Dhaker Lahideb ◽  
Samy Layouni ◽  
...  

Background: Coronary artery disease (CAD), also known as atherosclerotic heart disease, is a leading cause of mortality and morbidity throughout the world. The role of insertion/deletion (I/D) polymorphisms of the angiotensin-converting enzyme (ACE) gene in the etiology of CAD remains to be more completely clarified. The aim of this study was to determine the role of the ACE I/D polymorphism in patients with CAD and to study the association together with traditional risk factors in assessing the risk of CAD. Methods: Our study population included 145 Tunisian patients with symptomatic CAD and a control group of 300 people matched for age and sex. All participants in the study were genotyped for the ACE I/D polymorphisms obtained by polymerase chain reaction amplification on genomic DNA. Results: Our analysis showed that the ACE D allele frequency ( P < 10−3; odds ratio [OR] = 5.2; 95% confidence interval [CI] = 3.6-7.6) and DD genotype ( P < 10−3; OR = 6.8; 95% CI = 4.4-10) are significantly more prevalent among patients with CAD than in controls and may be predisposing to CAD. We further found that the risk of CAD is greatly potentiated by several concomitant risk factors (smoking, diabetes, hypertension, dyslipidemia, and a family history of CAD). Conclusion: The ACE D allele may be predictive in individuals who may be at risk of developing CAD. Further investigations of these polymorphisms and their possible synergisms with traditional risk factors for CAD could help to ascertain better predictability for CAD susceptibility.


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