Long-Term Follow-Up of Patients With Isolated Side Branch Coronary Artery Disease

Angiology ◽  
2021 ◽  
pp. 000331972110280
Author(s):  
Sukru Arslan ◽  
Ahmet Yildiz ◽  
Okay Abaci ◽  
Urfan Jafarov ◽  
Servet Batit ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Vessel Diameter ◽  
Side Branch ◽  
Clinical Risk Factors ◽  
Clinical Risk ◽  
Artery Disease

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.

P6162Difference in progression to obstructive lesions according to the presence of high-risk plaque features

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
S E Lee ◽  
G Pontone ◽  
I Gottlieb ◽  
M Hadamitzky ◽  
J A Leipsic ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
High Risk ◽  
Obstructive Coronary Artery Disease ◽  
Clinical Risk Factors ◽  
Clinical Risk ◽  
Obstructive Lesion ◽  
History Of ◽  
Artery Disease

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).

scholarly journals Risk Factor Burden and Long‐Term Prognosis of Patients With Premature Coronary Artery Disease

2020 ◽  
Vol 9 (24) ◽  
Author(s):  
Michel Zeitouni ◽  
Robert M. Clare ◽  
Karen Chiswell ◽  
Jawan Abdulrahim ◽  
Nishant Shah ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Coronary Artery Disease ◽  
Cardiovascular Risk ◽  
Coronary Artery ◽  
Premature Cad ◽  
Artery Disease ◽  
Long Term Prognosis

Background Coronary artery disease (CAD) is increasing among young adults. We aimed to describe the cardiovascular risk factors and long‐term prognosis of premature CAD. Methods and Results Using the Duke Databank for Cardiovascular Disease, we evaluated 3655 patients admitted between 1995 and 2013 with a first diagnosis of obstructive CAD before the age of 50 years. Major adverse cardiovascular events (MACEs), defined as the composite of death, myocardial infarction, stroke, or revascularization, were ascertained for up to 10 years. Cox proportional hazard regression models were used to assess associations with the rate of first recurrent event, and negative binomial log‐linear regression was used for rate of multiple event recurrences. Past or current smoking was the most frequent cardiovascular factor (60.8%), followed by hypertension (52.8%) and family history of CAD (39.8%). Within a 10‐year follow‐up, 52.9% of patients had at least 1 MACE, 18.6% had at least 2 recurrent MACEs, and 7.9% had at least 3 recurrent MACEs, with death occurring in 20.9% of patients. Across follow‐up, 31.7% to 37.2% of patients continued smoking, 81.7% to 89.3% had low‐density lipoprotein cholesterol levels beyond the goal of 70 mg/dL, and 16% had new‐onset diabetes mellitus. Female sex, diabetes mellitus, chronic kidney disease, multivessel disease, and chronic inflammatory disease were factors associated with recurrent MACEs. Conclusions Premature CAD is an aggressive disease with frequent ischemic recurrences and premature death. Individuals with premature CAD have a high proportion of modifiable cardiovascular risk factors, but failure to control them is frequently observed.

scholarly journals Serum Cytokine Profile in Relation to the Severity of Coronary Artery Disease

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Xiaoyan Min ◽  
Miao Lu ◽  
Su Tu ◽  
Xiangming Wang ◽  
Chuanwei Zhou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Serum Levels ◽  
Clinical Risk Factors ◽  
Roc Curve Analysis ◽  
Serum Cytokines ◽  
Clinical Risk ◽  
Resource Limited ◽  
Artery Disease

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.

scholarly journals Age-Biomarkers-Clinical Risk Factors for Prediction of Cardiovascular Events in Patients With Coronary Artery Disease

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 ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Cardiovascular Events ◽  
Clinical Risk Factors ◽  
Clinical Risk ◽  
Artery Disease

Clinical risk factors alone are inadequate for predicting significant coronary artery disease

2017 ◽  
Vol 11 (4) ◽  
pp. 309-316 ◽  
Author(s):  
Frederick K. Korley ◽  
Constantine Gatsonis ◽  
Bradley S. Snyder ◽  
Richard T. George ◽  
Thura Abd ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Significant Coronary Artery Disease ◽  
Clinical Risk Factors ◽  
Clinical Risk ◽  
Artery Disease

scholarly journals Clinical Risk Factors and Angiographic Pattern of Coronary Artery Disease in Young Females

2020 ◽  
Vol 9 (1) ◽  
pp. 15-20
Author(s):  
Hadi Yousuf Saeed ◽  
Fawad Qadir ◽  
Muhammad Shahid ◽  
Muhammad Tahir Mohyudin ◽  
Abu Bakar Ali Saad ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Old Age ◽  
Young Female ◽  
Clinical Risk Factors ◽  
Young Females ◽  
Vessel Disease ◽  
Clinical Risk ◽  
Artery Disease

Background: Coronary artery disease (CAD) is associated with the highest mortality in women around the world. The objective of this study was to compare the clinical risk factors and angiographic pattern of coronary artery disease in young versus old age females having CAD.Material and Methods: This cross-sectional study was conducted at the Department of Cardiology, Chaudhry Pervaiz Elahi (CPE) Institute of Cardiology Multan, Pakistan from April 2018 to December 2018. All females with diagnosis of angina and consistent ischemic changes on ECG were enrolled in the study. A total of 230 females were included with 123 patients aged <45 years and 107 patients aged >45 years. Comparison of patient characteristics, clinical risk factors and angiographic pattern in young and old age females was done by using SPSS version 21 statistical software.Results: Prevalence of hypertension (P=0.001), dyslipidemia (P=0.06) and diabetes mellitus (P=0.007) was significantly higher in females of older age group (>45 years). Similarly, a larger number of older age females (32; 29.9%) presented with ST-Elevation Myocardial Infarction (STEMI) as compared to young female patients (22; 17.88%) (P=0.03). Regarding angiographic patterns of CAD, there was no difference in the prevalence of single vessel disease (SVD), double vessel disease (DVD) and triple vessel disease (TVD) between the groups. Normal angiogram was found in 13 (12.3%) old age females versus 35 (28.8%) young females, respectively (P=0.002).Conclusions: The risk factors profile and clinical presentation of CAD is different in young female patients with CAD. There is an essential need to determine the coronary atherosclerosis factors in young females and these women should be treated more aggressively to prevent adverse cardio-vascular outcomes.Key words: Angiographic Pattern, Coronary Artery Disease, Clinical Pattern, Young Females

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