scholarly journals ANGIOGRAPHIC EVALUATION AND CLINICAL RISK FACTORS OF CORONARY ARTERY DISEASE IN PATIENTS WITH PERIPHERAL ARTERY DISEASE

2014 ◽  
Vol 63 (12) ◽  
pp. A1825
Author(s):  
Atsushi Tosaka ◽  
Takayuki Ishihara ◽  
Osamu iida ◽  
Yoshimitsu Soga ◽  
Yoichi Sugimura

Angiology ◽  
2021 ◽  
pp. 000331972110280
Author(s):  
Sukru Arslan ◽  
Ahmet Yildiz ◽  
Okay Abaci ◽  
Urfan Jafarov ◽  
Servet Batit ◽  
...  

The data with respect to stable coronary artery disease (SCAD) are mainly confined to main vessel disease. However, there is a lack of information and long-term outcomes regarding isolated side branch disease. This study aimed to evaluate long-term major adverse cardiac and cerebrovascular events (MACCEs) in patients with isolated side branch coronary artery disease (CAD). A total of 437 patients with isolated side branch SCAD were included. After a median follow-up of 38 months, the overall MACCE and all-cause mortality rates were 14.6% and 5.9%, respectively. Among angiographic features, 68.2% of patients had diagonal artery and 82.2% had ostial lesions. In 28.8% of patients, the vessel diameter was ≥2.75 mm. According to the American College of Cardiology lesion classification, 84.2% of patients had either class B or C lesions. Age, ostial lesions, glycated hemoglobin A1c, and neutrophil levels were independent predictors of MACCE. On the other hand, side branch location, vessel diameter, and lesion complexity did not affect outcomes. Clinical risk factors seem to have a greater impact on MACCE rather than lesion morphology. Therefore, the treatment of clinical risk factors is of paramount importance in these patients.





2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
S E Lee ◽  
G Pontone ◽  
I Gottlieb ◽  
M Hadamitzky ◽  
J A Leipsic ◽  
...  

Abstract Background It is still debatable whether the so-called high-risk plaque (HRP) simply represents a certain phase during the natural history of coronary atherosclerotic plaques or the disease progression would differ according to the presence of HRP. Purpose We determined whether the pattern of non-obstructive lesion progression into obstructive lesions would differ according to the presence of HRP. Methods Patients with non-obstructive coronary artery disease, defined as % diameter stenosis (%DS) ≥50%, were enrolled from a prospective, multinational registry of consecutive patients who underwent serial coronary computed tomography angiography at an inter-scan interval of ≥2 years. HRP was defined as lesions with ≥2 of positive remodelling, spotty calcification, and low-attenuation plaque. The total and compositional percent atheroma volume (PAV) at baseline and annualized PAV change were compared between non-HRP and HRP lesions. Results A total of 1,115 non-obstructive lesions were identified from 327 patients (61.1±8.9 years old, 66.0% male). There were 690 non-HRP and 425 HRP lesions. HRP lesions possessed greater PAV and %DS at baseline compared to non-HRP lesions. However, the annualized total and non-calcified PAV change were greater in non-HRP lesions than in HRP lesions. On multivariate analysis, addition of baseline PAV and %DS to clinical risk factors improved the predictive power of the model (Table). When clinical risk factors, PAV, %DS, and HRP were all adjusted on Model 3, only baseline PAV and %DS independently predicted the development of obstructive lesions (hazard ratio (HR) 1.046 [95% confidence interval (CI): 1.026–1.066] and HR 1.087 [95% CI: 1.055–1.119], respectively, all p<0.001), while HRP did not (p>0.05). Comparison of C-statistics of per-lesion analysis to predict progression to obstructive lesion C-statistics (95% CI) P Model 1: Baseline PAV 0.880 (0.879–0.884) – Model 2: Model 1 + baseline %DS 0.938 (0.937–0.939) vs. Model 1: <0.001 Model 3: Model 2 + HRP 0.935 (0.934–0.937) vs. Model 2: 0.004 Adjusted for age, male sex, hypertension, diabetes mellitus, hyperlipidemia, family history of coronary artery disease, smoking, body mass index, and statin use. Conclusion The pattern of individual coronary atherosclerotic plaque progression differed according to the presence of HRP. Baseline PAV was the most important predictor for lesions developing into obstructive lesions rather than the presence of HRP features at baseline. Acknowledgement/Funding This work was supported by the National Research Foundation of Korea funded by the Ministry of Science and ICT (Grant No. 2012027176).



2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Xiaoyan Min ◽  
Miao Lu ◽  
Su Tu ◽  
Xiangming Wang ◽  
Chuanwei Zhou ◽  
...  

Objectives. To investigate the potential association of a set of serum cytokines with the severity of coronary artery disease (CAD). Methods. A total of 201 patients who underwent coronary angiography for chest discomfort were enrolled. The concentrations of serum IFN-γ, TNF-α, IL-2, IL-4, IL-6, IL-10, IL-9, and IL-17 were determined by xMAP multiplex technology. The CAD severity was assessed by Gensini score (GS). Results. The serum levels of TNF-α, IL-6, IL-9, IL-10, and IL-17 were significantly higher in high GS group (GS ≥ 38.5) than those in low GS group (GS < 38.5). Positive correlations were also found between these cytokines and the severity of CAD. After adjustment for other associated factors, three serum cytokines (IL-6, IL-9, and IL-17) and two clinical risk factors (creatinine and LDL-C) were identified as the independent predictors of increased severity of CAD. ROC curve analysis revealed that the logistic regression risk prediction model had a good performance on predicting CAD severity. Conclusions. Combinatorial analysis of serum cytokines (IL-6, IL-9, and IL-17) with clinical risk factors (creatinine and LDL-C) may contribute to the evaluation of the severity of CAD and may help guide the risk stratification of angina patients, especially in primary health facilities and in the catheter lab resource-limited settings.



Author(s):  
Marc D. Samsky ◽  
Anne Hellkamp ◽  
William R. Hiatt ◽  
F. Gerry R. Fowkes ◽  
Iris Baumgartner ◽  
...  

Background Peripheral artery disease (PAD) and heart failure (HF) are each independently associated with poor outcomes. Risk factors associated with new‐onset HF in patients with primary PAD are unknown. Furthermore, how the presence of HF is associated with outcomes in patients with PAD is unknown. Methods and Results This analysis examined risk relationships of HF on outcomes in patients with symptomatic PAD randomized to ticagrelor or clopidogrel as part of the EUCLID (Examining Use of Ticagrelor in Peripheral Arterial Disease) trial. Patients were stratified based on presence of HF at enrollment. Cox models were used to determine the association of HF with outcomes. A separate Cox model was used to identify risk factors associated with development of HF during follow‐up. Patients with PAD and HF had over twice the rate of concomitant coronary artery disease as those without HF. Patients with PAD and HF had significantly increased risk of major adverse cardiovascular events (hazard ratio [HR], 1.31; 95% CI, 1.13–1.51) and all‐cause mortality (HR, 1.39; 95% CI, 1.19–1.63). In patients with PAD, the presence of HF was associated with significantly less bleeding (HR, 0.65; 95% CI, 0.45–0.96). Characteristics associated with HF development included age ≥66 (HR, 1.29; 95% CI, 1.18–1.40 per 5 years), diabetes mellitus (HR, 1.85; 95% CI, 1.41–2.43), and weight (bidirectionally associated, ≥76 kg, HR, 0.77; 95% CI, 0.64–0.93; <76 kg, HR, 1.12; 95% CI, 1.07–1.16). Conclusions Patients with PAD and HF have a high rate of coronary artery disease with a high risk for major adverse cardiovascular events and death. These data support the possible need for aggressive treatment of (recurrent) atherosclerotic disease in PAD, especially patients with HF.



2018 ◽  
Vol 38 (10) ◽  
pp. 2519-2527 ◽  
Author(s):  
Yuen-Kwun Wong ◽  
Chloe Y.Y. Cheung ◽  
Clara S. Tang ◽  
Ka-Wing Au ◽  
JoJo S.H. Hai ◽  
...  




PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0121620 ◽  
Author(s):  
Michal Droppa ◽  
Dimitri Tschernow ◽  
Karin A. L. Müller ◽  
Elli Tavlaki ◽  
Athanasios Karathanos ◽  
...  


2020 ◽  
Author(s):  
Michael G. Levin ◽  
Derek Klarin ◽  
Themistocles L. Assimes ◽  
Matthew S. Freiberg ◽  
Erik Ingelsson ◽  
...  

ABSTRACTImportanceSmoking is associated with atherosclerotic cardiovascular disease, but the relative contribution to each subtype (coronary artery disease [CAD], peripheral artery disease [PAD], and large-artery stroke) remains less well understood.ObjectiveTo determine the effect of smoking on risk of coronary artery disease, peripheral artery disease, and large-artery stroke.DesignMendelian randomization study using summary statistics from genome-wide associations of smoking (up to 462,690 individuals), coronary artery disease (up to 60,801 cases, 123,504 controls), peripheral artery disease (up to 24,009 cases, 150,983 controls), and large-artery stroke (up to 4,373 cases, 406,111 controls)SettingPopulation-based study of primarily European-ancestry individualsParticipantsParticipants in genome-wide association studies of smoking, coronary artery disease, peripheral artery disease, and stroke.ExposuresGenetic liability to smoking defined by lifetime smoking index: an integrated measure of smoking status, age at initiation, age at cessation, number of cigarettes smoked per day, and declining effect of smoking on health outcomes).Main Outcome MeasureRisk of coronary artery disease, peripheral artery disease, and large-artery stroke.ResultsGenetic liability to smoking was associated with increased risk of PAD (OR 2.13; 95% CI 1.78-2.56; P = 3.6 × 10−16), CAD (OR 1.48; 95% CI 1.25-1.75; P = 4.4 × 10−6), and stroke (OR 1.4; 95% CI 1.02-1.92; P = 0.036). Risk of PAD in smokers was greater than risk of large-artery stroke (pdifference = 0.025) or CAD (pdifference = 0.0041). The effect of smoking on ASCVD remained independent from the effects of smoking on traditional cardiovascular risk factors.Conclusions and RelevanceGenetic liability to smoking is a strong, causal risk factor for CAD, PAD, and stroke, although the effect of smoking is strongest for PAD. The effect of smoking is independent of traditional cardiovascular risk factors.



2017 ◽  
Vol 11 (4) ◽  
pp. 309-316 ◽  
Author(s):  
Frederick K. Korley ◽  
Constantine Gatsonis ◽  
Bradley S. Snyder ◽  
Richard T. George ◽  
Thura Abd ◽  
...  


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