Relation of apolipoprotein E gene polymorphism with the severity of coronary artery disease in patients with stable ischemic heart disease

2021 ◽  
Vol 28 (2) ◽  
pp. 261
Author(s):  
Ahmet Yilmaz ◽  
Hakan Duman ◽  
Senol Citci ◽  
Ismail Gurbak ◽  
Fatih Kahraman
2012 ◽  
Vol 11 (1) ◽  
pp. 36 ◽  
Author(s):  
Rajesh Chaudhary ◽  
Atip Likidlilid ◽  
Thavatchai Peerapatdit ◽  
Damras Tresukosol ◽  
Sorachai Srisuma ◽  
...  

2010 ◽  
Vol 10 (3) ◽  
pp. 202-208 ◽  
Author(s):  
F. Demet Arslan Ince ◽  
Aysenur Atay ◽  
Mehmet Koseoglu ◽  
Murat Yesil ◽  
Erdal Deveci

2020 ◽  
Vol 26 ◽  
Author(s):  
Maria Bergami ◽  
Marialuisa Scarpone ◽  
Edina Cenko ◽  
Elisa Varotti ◽  
Peter Louis Amaduzzi ◽  
...  

: Subjects affected by ischemic heart disease with non-obstructive coronary arteries constitute a population that has received increasing attention over the past two decades. Since the first studies with coronary angiography, female patients have been reported to have non-obstructive coronary artery disease more frequently than their male counterparts, both in stable and acute clinical settings. Although traditionally considered a relatively infrequent and low-risk form of myocardial ischemia, its impact on clinical practice is undeniable, especially when it comes to infarction, where the prognosis is not as benign as previously assumed. Unfortunately, despite increasing awareness, there are still several questions left unanswered regarding diagnosis, risk stratification and treatment. The purpose of this review is to provide a state of the art and an update on current evidence available on gender differences in clinical characteristics, management and prognosis of ischemic heart disease with non-obstructive coronary arteries, both in the acute and stable clinical setting.


Author(s):  
Harindra C Wijeysundera ◽  
Feng Qiu ◽  
Maria C Bennell ◽  
Madhu K Natarajan ◽  
Warren J Cantor ◽  
...  

Background: Wide variation exists in the diagnostic yield of coronary angiography in stable ischemic heart disease (IHD). Previous work has primarily focused on patient factors for this variation. We sought to understand if system and physician factors, specifically hospital and physician type, as well as physician self-referral, have incremental impacts on the yield of coronary angiography, above and beyond that of patient factors alone. Methods: All patients who underwent a diagnostic coronary angiogram for possible stable IHD, at the 18 cardiac centers in Ontario, Canada were identified from October 1st, 2008 to September 30th, 2011. Obstructive coronary artery disease was defined as stenosis greater than 70% in the main coronary arteries or greater than 50% in the left main artery. Physicians were classified as either invasive or interventional. Hospitals were categorized into cath only, stand-alone PCI and full service centers. Multi-variable hierarchical logistic models were developed to identify system and physician level predictors of obstructive coronary artery disease, having adjusted for patient factors. Results: Our cohort consisted of 60,986 patients who underwent a diagnostic angiogram for possible stable IHD, of which 33,483 had obstructive coronary artery disease (54.9%), ranging from 41.0% to 70.2% across centers. Self-referral rates varied from 4.8% to 74.6%. Fewer self-referral patients (52.5%) had obstructive coronary artery disease compared to non-self-referral patients (56.5%), with an odds ratio (OR) of 0.89 (95% CI 0.85-0.93;p <0.001), after accounting for patient factors. Angiograms performed by interventional physicians had a higher likelihood of showing obstructive coronary artery disease (60.1% vs. 50.8%; OR 1.22; 95% CI 1.17-1.28; p<0.001). Fewer angiograms at cath only centers showed obstructive disease (45.0%) compared to full service centers (58.1%); this was of borderline significance (OR 0.59; 95% CI 0.34-1.00; p=0.05). Conclusion: Physician and system factors are important predictors of the diagnostic yield of coronary angiography in stable IHD, even after accounting for patient characteristics. Further study into the drivers of how these physician and system factors impact diagnostic yield is an important focus for quality improvement.


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