scholarly journals Analysis of risk factors in obese patients with coronary artery disease, with and without diabetes mellitus type two

Praxis medica ◽  
2014 ◽  
Vol 43 (4) ◽  
pp. 39-45
Author(s):  
Danjela Vasic ◽  
B. Ivanovic ◽  
T. Novakovic ◽  
G. Nikolic ◽  
B. Orbovic ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Diabetes Mellitus Type ◽  
Obese Patients ◽  
Artery Disease

Effect of Number of Achieved Targets for Risk Factors on Coronary Artery Disease (CAD) in Those With and Without Diabetes Mellitus (DM)

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 442-P
Author(s):  
KAZUYA FUJIHARA ◽  
YASUHIRO MATSUBAYASHI ◽  
MASARU KITAZAWA ◽  
MASAHIKO YAMAMOTO ◽  
TAEKO OSAWA ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Artery Disease

Abstract 5752: Epicardial Fat Assessed by Multi-Detector Computed Tomography (mdct) is a New Risk Factor of Coronary Artery Disease in Non-Obese Patients

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Tadateru Iwayama ◽  
Joji Nitobe ◽  
Mitsunori Ishino ◽  
Harutoshi Tamura ◽  
Tetsurou Shishido ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Epicardial Fat ◽  
Coronary Risk Factors ◽  
Coronary Risk ◽  
Obese Patients ◽  
Epicardial Fat Volume ◽  
Artery Disease ◽  
Fat Volume

Objective: An increment of abdominal visceral fat has been reported to be a coronary risk factor associated with metabolic syndrome. However, adipose tissue surrounding heart has not been fully determined as coronary risk factors. Accurate volumetric measurement of epicardial fat can be easily obtained by MDCT. We examined the relationship between epicardial fat volume and clinical parameters in patients with coronary artery disease (CAD). Method: We evaluated epicardial fat volume by 64 detector row CT scanner in CAD patients (obese, 13; non-obese, 11 patients) who underwent elective coronary artery bypass graft surgery and in non-CAD patients who showed normal coronary arteries on angiography (obese, 3; non-obese, 11 patients). Epicardial fat volume was obtained as the sum of fat areas on short axis images. Obese patients were defined as over 25 in body mass index (BMI). Result: Epicardial fat volume was significantly higher in patients with CAD than in those without CAD (40.6 ± 14.7 ml vs. 20.0 ± 14.7 ml, p < 0.05). Epicardial fat volume was not correlated to following coronary risk factors such as HbA1c, fasting plasma glucose, lipid and blood pressure except for BMI. Although there was no difference epicardial fat volume between in obese patients with CAD and in those without CAD (48.3 ± 27.9 ml vs. 41.2 ± 11.0 ml, NS), it was significantly higher in non-obese patients with CAD than in those without CAD (32.1 ± 9.2 ml vs. 14.2 ± 9.2 ml, p < 0.05). Conclusions: The quantity of epicardial fat using MDCT is related with the presence of CAD. Especially in non-obese patients, epicardial fat may affect directly progression of CAD independent of pathophysiological process of metabolic syndrome.

scholarly journals Diabetes mellitus and other cardiovascular risk factors in lower-extremity peripheral artery disease versus coronary artery disease: an analysis of 1,121,359 cases from the nationwide databases

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Mitsuyoshi Takahara ◽  
◽  
Osamu Iida ◽  
Shun Kohsaka ◽  
Yoshimitsu Soga ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Coronary Artery Disease ◽  
Cardiovascular Risk ◽  
Coronary Artery ◽  
Lower Extremity ◽  
Cardiovascular Risk Factors ◽  
Clinical Profile ◽  
Peripheral Artery ◽  
Artery Disease

Abstract Background Lower-extremity peripheral artery disease (LE-PAD) and coronary artery disease (CAD) are both pathologically rooted in atherosclerosis, and their shared clinical features regarding the exposure to cardiovascular risk factors have been emphasized. However, comparative data of the two cardiovascular diseases (CVDs) were so far lacking. The purpose of this study was to directly compare the clinical profile between cases undergoing endovascular therapy (EVT) for LE-PAD and those undergoing percutaneous coronary intervention (PCI). Methods Data were extracted from the nationwide procedural databases of EVT and PCI in Japan (J-EVT and J-PCI) between 2012 and 2017. A total of 1,121,359 cases (103,887 EVT cases for critical limb ischemia [CLI] or intermittent claudication and 1,017,472 PCI cases for acute coronary syndrome [ACS] or stable angina) were analyzed. Heterogeneity in clinical profile between CVDs was evaluated using the C statistic of the logistic regression model for which dependent variable was one CVD versus another, and explanatory variables were clinical profile. When two CVDs were completely discriminated from each other by the developed model, the C statistic (discrimination ability) of the model would be equal to 1, indicating that the two CVDs were completely different in clinical profile. On the other hand, when two CVDs were identical in clinical profile, the developed model would not discriminate them at all, with the C statistic equal to 0.5. Results Mean age was 73.5 ± 9.3 years in LE-PAD patients versus 70.0 ± 11.2 years in CAD patients (P < 0.001). The prevalence of diabetes mellitus and end-stage renal disease was 1.96- and 6.39-times higher in LE-PAD patients than in CAD patients (both P < 0.001). The higher prevalence was observed irrespective of age group. The exposure to other cardiovascular risk factors and the likelihood of cardiovascular risk clustering also varied between the diseases. The between-disease heterogeneity in patient profile was particularly evident between CLI and ACS, with the C statistic equal to 0.833 (95% CI 0.831–0.836). Conclusions The current study, an analysis based on nationwide procedural databases, confirmed that patient profiles were not identical but rather considerably different between clinically significant LE-PAD and CAD warranting revascularization.

scholarly journals Clinical manifestations and risk factors of coronary artery disease in patients with diabetes mellitus in western Siberia

2010 ◽  
Vol 69 (3) ◽  
pp. 278-284
Author(s):  
Vadim A. Kuznetsov ◽  
Elena I. Yaroslavskaya ◽  
Marina I. Bessonova ◽  
Ivan S. Bessonov ◽  
Igor P. Zyrianov ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Western Siberia ◽  
Clinical Manifestations ◽  
Patients With Diabetes ◽  
Artery Disease

scholarly journals Smoking is a negative predictor of arteriovenous malformation posttreatment obliteration: analysis of vascular risk factors in 774 patients

2014 ◽  
Vol 37 (3) ◽  
pp. E3
Author(s):  
Richard Dalyai ◽  
Robert M. Starke ◽  
Nohra Chalouhi ◽  
Thana Theofanis ◽  
Christopher Busack ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Coronary Artery Disease ◽  
Multivariate Analysis ◽  
Coronary Artery ◽  
Tertiary Care ◽  
Vascular Pathology ◽  
Smoking History ◽  
Recreational Drugs ◽  
Artery Disease

Object Cigarette smoking has been well established as a risk factor in vascular pathology, such as cerebral aneurysms. However, tobacco’s implications for patients with cerebral arteriovenous malformations (AVMs) are controversial. The object of this study was to identify predictors of AVM obliteration and risk factors for complications. Methods The authors conducted a retrospective analysis of a prospectively maintained database for all patients with AVMs treated using surgical excision, staged endovascular embolization (with N-butyl-cyanoacrylate or Onyx), stereotactic radiosurgery (Gamma Knife or Linear Accelerator), or a combination thereof between 1994 and 2010. Medical risk factors, such as smoking, abuse of alcohol or intravenous recreational drugs, hypercholesterolemia, diabetes mellitus, hypertension, and coronary artery disease, were documented. A multivariate logistic regression analysis was conducted to detect predictors of periprocedural complications, obliteration, and posttreatment hemorrhage. Results Of 774 patients treated at a single tertiary care cerebrovascular center, 35% initially presented with symptomatic hemorrhage and 57.6% achieved complete obliteration according to digital subtraction angiography (DSA) or MRI. In a multivariate analysis a negative smoking history (OR 1.9, p = 0.006) was a strong independent predictor of AVM obliteration. Of the patients with obliterated AVMs, 31.9% were smokers, whereas 45% were not (p = 0.05). Multivariate analysis of obliteration, after controlling for AVM size and location (eloquent vs noneloquent tissue), revealed that nonsmokers were more likely (0.082) to have obliterated AVMs through radiosurgery. Smoking was not predictive of treatment complications or posttreatment hemorrhage. Abuse of alcohol or intravenous recreational drugs, hypercholesterolemia, diabetes mellitus, and coronary artery disease had no discernible effect on AVM obliteration, periprocedural complications, or posttreatment hemorrhage. Conclusions Cerebral AVM patients with a history of smoking are significantly less likely than those without a smoking history to have complete AVM obliteration on follow-up DSA or MRI. Therefore, patients with AVMs should be strongly advised to quit smoking.

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