Epidemiologic and Clinical Characteristics of Patients with Coronary Angiography Procedure at Bugando Medical Centre From 2018 To 2023.
Material type:
Item type | Current library | Status | Barcode | |
---|---|---|---|---|
UNDERGRADUATE DISSERTATIONS | MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO | Not for loan | 20240904084400.0 |
Background information:
Coronary artery disease (CAD) is a common heart disease characterized by blockage or narrowing of coronary artery. Common cause of coronary arterial disease is atherosclerosis plaque deposition in the coronary artery intima (1).
Coronary artery diseases can be associated with factors such as age, gender, smoking, obesity and other existing commodities such as hypertension, diabetes mellitus and renal failure (1).
The most common clinical feature of coronary artery disease is chest pain which can be present in other diseases such as, myocarditis, heart failure, pericarditis, pulmonary embolism and gastro oesophageal reflux. Global prevalence of chest pain is approximately 2000-5000 per 100,000 individuals worldwide coronary artery. About 3% of people who experience chest pain die. Among the deaths CAD common cause of chest pain with mortality of 9.3%(2).
The gold standard method of diagnose CAD is coronary angiography where by contrasted CT scan is used to check artery intima. CT Angiography has mean sensitivity of 97.2% to 100% and a specificity of 87.4% to 89%(1).
The clinical presentation of CAD can vary widely, ranging from asymptomatic disease to acute coronary syndromes, such as unstable angina, non-ST-segment elevation myocardial infarction (NSTEMI), and ST-segment elevation myocardial infarction (STEMI). Patients with CAD often present with symptoms such as chest pain or discomfort, shortness of breath, fatigue, and palpitations. (3) The accurate diagnosis of CAD requires a comprehensive evaluation of clinical history, physical examination, electrocardiography, cardiac biomarkers, and imaging studies, including coronary angiography (4).
This study aims at determining the epidemiological distribution of these patients, and their clinical characteristics which will fill the gap of knowledge, and aid on the plan of management knowing the population of intervention and prevention of these diseases especially at the study area.
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