Search for dissertations about: "Coronary artery stenosis"

Showing result 16 - 20 of 55 swedish dissertations containing the words Coronary artery stenosis.

  2. 16. Unrecognized myocardial infarction and cardiac biochemical markers in patients with stable coronary artery disease

    Author : Anna Nordenskjöld; Bertil Lindahl; Ole Fröbert; Kai Eggers; Torbjørn Omland; Örebro universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Unrecognized myocardial infarction; Coronary artery disease; Prevalence; Prognosis; Troponin; NT-proBNP; Galectin-3; Medicin; Medicine;

    Abstract : Aim: The overarching aim of the thesis was to explore the occurrence and clinical importance of two manifestations of myocardial injury; unrecognized myocardial injury (UMI) and altered levels of cardiac biochemical markers in patients with stable coronary artery disease (CAD).Methods: A prospective multicenter cohort study investigated the prevalence, localization, size, and prognostic implication of UMI in 235 patients with stable CAD. READ MORE

  4. 17. Cardiac Arrest – mechanical chest compressions, gender differences and coronary angiography

    Author : Erik Lindgren; Sten Rubertsson; Theresa M Olasveengen; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; cardiac arrest; OHCA; IHCA; CPR; coronary angiography; percutaneous coronary intervention; PCI; mechanical chest compressions; lucas; Anestesiologi och intensivvård; Anaesthesiology and Intensive Care;

    Abstract : Cardiac arrest is a major health problem with over 6000 cases of out-of-hospital cardiac arrest (OHCA) and 2500 cases of in-hospital cardiac arrest (IHCA) per year in Sweden. Survival are low. Many factors affect the chances of survival, including effective cardiopulmonary resuscitation and optimal post resuscitation care. READ MORE

  5. 18. Cardiovascular risk factors in aortic stenosis

    Author : Johan Ljungberg; Stefan Söderberg; Bengt Johansson; Peter Nilsson; Umeå universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Valvular heart disease; aortic stenosis; bicuspid aortic valve; cardiovascular risk factors; hypertension; diabetes mellitus; smoking; hypercholesterolemia; obesity; shrunken pore; renal failure; Epidemiology; epidemiologi; Cardiology; kardiologi;

    Abstract : Introduction: Aortic stenosis (AS) is the most common hemodynamic significant valvular heart disease and affects about 2% of the population. The incidence increases with age. When symptoms of the stenotic aortic valve disease eventually occur the 2-year mortality exceeds 50%. READ MORE

  6. 19. Insight into Coro-Carotid atherosclerotic disease in patients with acute coronary syndrome

    Author : Rafik B. Shenouda; Michael Y. Henein; Per Wester; Ana Djordjevic-Dikic; Umeå universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Acute coronary syndrome; Agatston score; Atherosclerosis; Carotid calcifications; Carotid intima media thickness; Coronary calcifications; Echocardiography; Speckle tracking echocardiography; Strain; Strain rate; Tissue Doppler Imaging.; kardiologi; Cardiology;

    Abstract : Background: the arterial tree branches in different parts of human body are sharing the histological and physiological features. Atherosclerosis is a systemic arterial disease, hence is expected to affect to affect more than one arterial system with similar pathologic manifestations. READ MORE

  7. 20. Applications of Deep Learning in Medical Image Analysis : Grading of Prostate Cancer and Detection of Coronary Artery Disease

    Author : Ida Arvidsson; Mathematical Imaging Group; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical Image Analysis; Deep Learning; Convolutional Neural Networks; Prostate Cancer; Gleason Grading; Coronary Artery Disease; Myocardial Perfusion Imaging;

    Abstract : A wide range of medical examinations are using analysis of images from different types of equipment. Using artificial intelligence, the assessments could be done automatically. READ MORE