scholarly journals Application of the Truncated Zero-Inflated Double Poisson for Determining of the Effecting Factors on the Number of Coronary Artery Stenosis

2022 ◽  
Vol 2022 ◽  
pp. 1-7
Author(s):  
Arezoo Orooji ◽  
Toktam Sahranavard ◽  
Mohammad-Taghi Shakeri ◽  
Mohammad Tajfard ◽  
Seyed Ehsan Saffari
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Regression Model ◽  
Goodness Of Fit ◽  
Coronary Artery Stenosis ◽  
Obstructive Coronary Artery Disease ◽  
Artery Stenosis ◽  
Proposed Model ◽  
Artery Disease

Background. Risk factors of coronary heart disease have been discussed in the literature; however, conventional statistical models are not appropriate when the outcome of interest is number of vessels with obstructive coronary artery disease. In this paper, a novel statistical model is discussed to investigate the risk factors of number of vessels with obstructive coronary artery disease. Methods. This cross-sectional study was conducted on 633 elderly cardiovascular patients at Ghaem Hospital, Mashhad, Iran from September 2011 to May 2013. Clinical outcome is number of vessels with obstructive coronary artery disease (=0, 1, 2, 3), and predictor variables are baseline demographics and clinical features. A right-truncated zero-inflated double Poisson regression model is performed which can accommodate both underdispersion and excess zeros in the outcome. The goodness-of-fit of the proposed model is compared with conventional regression models. Results. Out of 633 cardiovascular patients, 327 were male (51.7%). Mean age was ~ 65 ± 7 years (for individuals with zero, one ,and two coronary artery stenosis) and ~ 66 ± 7 years (for individuals with three coronary artery stenosis). BMI ( 0.04 ± 0.01 , p = 0.011 ) and female gender ( 0.19 ± 0.09 , p = 0.032 ) were significant associated with the count part of the model, and only BMI ( − 0.47 ± 0.2 , p = 0.011 ) was significantly predictive of logit part of the model. The goodness-of-fit measurements indicate that the proposed model outperforms the conventional regression models. Conclusion. The proposal regression model shows a better fit compared to the standard regression analysis in modeling number of vessels with obstructive coronary artery disease. Hence, using truncated zero-inflated double Poisson regression model—as an alternative model—is advised to study the risk factors of number of involved vessels of coronary artery stenosis.

scholarly journals Association of Cardiovascular Risk Factors and Coronary Artery Lesion Among Coronary Artery Disease Patients

2015 ◽  
Vol 12 (2) ◽  
pp. 137-140 ◽  
Author(s):  
R Koju ◽  
S Humagain ◽  
K Khanal
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Coronary Artery Disease ◽  
Cardiovascular Risk ◽  
Coronary Artery ◽  
Cardiovascular Risk Factors ◽  
Coronary Stenosis ◽  
Coronary Artery Stenosis ◽  
Artery Stenosis ◽  
Artery Disease

Background Coronary artery disease (CAD) is associated with the numbers of risk factors causing coronary atherosclerosis. Coronary artery stenosis is mostly caused by coronary atherosclerosis.Objective This study aims to analyze the association between coronary artery stenosis and cardiovascular risk factors.Methods An observational study was conducted among CAD patients. The diagnostic coronary angiogram was performed from femoral approach using standard catheters and techniques to find out any abnormalities.Result A total 73 patients (44 male and 29 female) with coronary artery disease undergoing diagnostic coronary angiography was included with the documented cardiovascular risk factors. The coronary stenosis was found in 40 patients on the basis of stenosis grading. Among the established cardiovascular risk factors, sex, diabetes mellitus and smokers show are significantly associated with coronary stenosis among CAD patients. The present study shows the significant association of coronary stenosis among male CAD patients (OR 2.47; CI 0.94 – 6.48, p <0.05) and similar association has been observed in diabetes mellitus (OR 3.32; CI 1.12 – 9.84, p <0.05) and smoking (OR 4.10; CI 1.45 – 11.61, p <0.01).Conclusion The prevalence of CAD is increased with numbers of presence of cardiovascular risk factors. Male gender, diabetes mellitus and smoking are significantly associated with coronary stenosis among CAD patients. However, hypertension and dyslipidemia are comparable between coronary stenosis and no significant stenosis group.Kathmandu University Medical Journal Vol.12(2) 2014: 137-140

scholarly journals Serum Zinc-α2-Glycoprotein Levels in Patients with or without Coronary Artery Disease in Chinese North Population

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Meijuan Liu ◽  
Zeyu Liu ◽  
Huijuan Zhu ◽  
Linjie Wang ◽  
Hongbo Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Regression Analysis ◽  
Coronary Artery ◽  
Coronary Artery Stenosis ◽  
Serum Zinc ◽  
Artery Stenosis ◽  
Enzyme Linked Immunosorbent Assay ◽  
Control Group ◽  
Artery Disease

Coronary artery disease (CAD), the leading cause of morbidity and mortality, has imposed huge health and economic burdens globally. Zinc-α2-glycoprotein (ZAG) is a novel adipokine. Increasing evidence suggests the close relationship between serum ZAG levels and various cardiometabolic risk factors. However, the relationship between serum ZAG levels and CAD is still not fully clarified. We conducted this study to evaluate serum ZAG levels and its association with cardiovascular risk factors. A total of 129 patients with CAD, 99 patients with noncoronary artery disease (NCAD), and 121 controls were recruited in this retrospective study. CAD (coronary artery stenosis ≥50%) or NCAD (coronary artery stenosis <50%) patients who underwent coronary angiography were diagnosed according to the American Heart Association criteria. Serum ZAG levels were determined via commercial enzyme-linked immunosorbent assay (ELISA) kits. The results showed that serum ZAG levels in CAD and NCAD groups were significantly decreased when compared with those in the control group. Multiple stepwise regression analysis revealed that the grouping variable (control, NCAD, and CAD) was an independent determinant of serum ZAG levels (β = −0.328, P<0.001) after controlling other confounding factors. Further multivariate ordinary logistic regression analysis demonstrated that the risk of grouping at one level higher in subjects with the lowest tertile of ZAG levels was 2.28-fold higher than those with the highest tertile levels (OR = 3.281, 95% CI 1.782–6.038, P<0.001). The receiver-operating characteristic (ROC) curve analysis showed that serum ZAG could distinguish CAD patients (AUC = 0.706, 95% CI, 0.643–0.770, P<0.05), NCAD patients (AUC = 0.673, 95% CI, 0.602–0.743, P<0.05), and NCAD and CAD patients (AUC = 0.692, 95% CI, 0.633–0.750, P<0.05) from controls. In conclusion, serum ZAG levels were significantly decreased in NCAD/CAD patients. The decreased serum ZAG levels were independently associated with the presence of NCAD/CAD. ZAG might serve as a candidate diagnostic biomarker for NCAD/CAD.

scholarly journals Association between ceramides and coronary artery stenosis in patients with coronary artery disease

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Chenchen Tu ◽  
Lan Xie ◽  
Zhenjie Wang ◽  
Lili Zhang ◽  
Hongmei Wu ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Coronary Artery Stenosis ◽  
Artery Stenosis ◽  
Artery Disease

Abstract 2941: Combined Assessment of Coronary Artery Stenosis and Myocardial Ischemia by Rest-Dipyridamole Stress Multidetector Computed Tomography

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Patricia M Carrascosa ◽  
Carlos Capuñay ◽  
Jorge Carrascosa ◽  
Alejandro Deviggiano ◽  
Alejandro Goldsmit ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Myocardial Ischemia ◽  
Contrast Enhancement ◽  
Coronary Artery Stenosis ◽  
Artery Stenosis ◽  
Artery Disease ◽  
Mdct Coronary Angiography ◽  
Dipyridamole Stress

Introduction: MDCT coronary angiography has been evolving as a noninvasive method for the assessment of coronary artery disease (CAD). More recently, It has been demonstrated that MDCT identifies reduced contrast enhancement in ischemic and/or scarred myocardial segments. Objective: to determine the ability of rest-stress multidetector computed tomography (RS-MDCT) to detect myocardial ischemia and to assess the relationship between MDCT myocardial perfusion abnormalities and coronary artery stenosis. Methods: Forty seven patients underwent stress/rest 99mTc sestamibi SPECT and RS-MDCT, using a 16-row detector scanner (Philips Brilliance-16). Myocardial segments were classified by SPECT as normal, ischemic or scarred. SPECT results were then compared with MDCT regional myocardial contrast enhancement. The results of MDCT coronary angiography were also analyzed in 20 patients who underwent invasive catheterization. Results: The presence of a reduction in contrast enhancement at rest by MDCT identified scar by SPECT with 96% sensitivity and 98% specificity. A stress-induced reduction in contrast enhancement by MDCT identified ischemia by SPECT with 77% sensitivity and 99% specificity. The segment-based sensitivity and specificity for the detection of significant stenosis by MDCT were 92% and 98%, respectively. Conclusion: Our results showed that a rest-dipyridamole stress MDCT protocol can identify the presence of myocardial ischemia as well as the severity of coronary artery stenosis in patients with suspected coronary artery disease.

scholarly journals Clinical risk factors and atherosclerotic plaque extent to define risk for major events in patients without obstructive coronary artery disease: the long-term coronary computed tomography angiography CONFIRM registry

2020 ◽  
Vol 21 (5) ◽  
pp. 479-488 ◽  
Author(s):  
Alexander R van Rosendael ◽  
A Maxim Bax ◽  
Jeff M Smit ◽  
Inge J van den Hoogen ◽  
Xiaoyue Ma ◽  
...  
Keyword(s):  
Risk Factors ◽  
Computed Tomography ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Computed Tomography Angiography ◽  
Prognostic Value ◽  
Coronary Computed Tomography Angiography ◽  
Obstructive Coronary Artery Disease ◽  
Artery Disease

Abstract Aims In patients without obstructive coronary artery disease (CAD), we examined the prognostic value of risk factors and atherosclerotic extent. Methods and results Patients from the long-term CONFIRM registry without prior CAD and without obstructive (≥50%) stenosis were included. Within the groups of normal coronary computed tomography angiography (CCTA) (N = 1849) and non-obstructive CAD (N = 1698), the prognostic value of traditional clinical risk factors and atherosclerotic extent (segment involvement score, SIS) was assessed with Cox models. Major adverse cardiac events (MACE) were defined as all-cause mortality, non-fatal myocardial infarction, or late revascularization. In total, 3547 patients were included (age 57.9 ± 12.1 years, 57.8% male), experiencing 460 MACE during 5.4 years of follow-up. Age, body mass index, hypertension, and diabetes were the clinical variables associated with increased MACE risk, but the magnitude of risk was higher for CCTA defined atherosclerotic extent; adjusted hazard ratio (HR) for SIS &gt;5 was 3.4 (95% confidence interval [CI] 2.3–4.9) while HR for diabetes and hypertension were 1.7 (95% CI 1.3–2.2) and 1.4 (95% CI 1.1–1.7), respectively. Exclusion of revascularization as endpoint did not modify the results. In normal CCTA, presence of ≥1 traditional risk factors did not worsen prognosis (log-rank P = 0.248), while it did in non-obstructive CAD (log-rank P = 0.025). Adjusted for SIS, hypertension and diabetes predicted MACE risk in non-obstructive CAD, while diabetes did not increase risk in absence of CAD (P-interaction = 0.004). Conclusion Among patients without obstructive CAD, the extent of CAD provides more prognostic information for MACE than traditional cardiovascular risk factors. An interaction was observed between risk factors and CAD burden, suggesting synergistic effects of both.

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