Back ground : Coronary artery diseases are not uncommon in the presence of right bundle branch block.
Aim : The aim of this study is to assess the findings of coronary angiography in patients with chest pain and right bundle branch block.
Methods : The study involved review of case sheets and coronary angiography of one hundred patients, who underwent coronary angiography due to chest pain suspected to have
coronary artery diseases (CAD) , fifty patients of them had right bundle branch block (RBBB) , the other fifty did not have RBBB , those 100 patients were presented to Ibin Al Bitar hospital
for cardiac surgery from January 2004 to June 2006. History, clinical examinations, electrocardiogram (ECG) , ECG exercise tests (EET) echocardiogram (ECHO) and coronary angiography had been performed.
Results : Mean age of patients was 53± 10.6 years, 84% were male , hypertension, diabetes mellitus, and smoking as risk factors were present as 30%, 32% and 48% respectively. 58% of
patients presented with chronic stable angina (CSA) while 42% with acute coronary syndrome (ACS), ECHO showed that left ventricular dysfunction (LVD) was present in 34%, EET was
positive in 11 of the 23 patients (47.8%) who were able to perform EET. Normal coronary angiography found in 20% of patients and there were no significant difference in coronary
angiographic findings between patients with and without RBBB.
Conclusion : RBBB of indeterminate age has no significant impact on clinical and haemodynamic characteristics of CAD patients and it may be incidental finding.
Corona Virus Disease-2019 (COVID-19) is a novel virus belongs to the corona virus's family. It spreads very quickly and causes many deaths around the world. The early diagnosis of the disease can help in providing the proper therapy and saving the humans' life. However, it founded that the diagnosis of chest radiography can give an indicator of coronavirus. Thus, a Corner-based Weber Local Descriptor (CWLD) for COVID-19 diagnostics based on chest X-Ray image analysis is presented in this article. The histogram of Weber differential excitation and gradient orientation of the local regions surrounding points of interest are proposed to represent the patterns of the chest X-Ray image. Support Vector Machine (SVM) and Deep Belief Network (DBN)
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