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Patient awareness before coronarography
KVAČKOVÁ, Michaela
This bachelor's thesis dealt with informing patients before coronary angiography. Cardiovascular diseases are one of the major problems of today's population. An examination method called coronary angiography is used to quickly and effectively evaluate the condition of the coronary arteries. It is an invasive method thanks to which we can image the coronary arteries of the heart and find places that are narrowed or closed. The thesis was focused on informing patients who were to undergo this procedure. The aim of this bachelor's thesis was to map the awareness of patients before coronary angiography. To find out how the information was conveyed and what effect it had on the patient's sense of security. In the theoretical part, there is an overview of the obtained information about coronary angiography examination. Coronary artery disease is discussed here, followed by a chapter on coronary angiography itself and nursing care. The last two chapters of the thesis deal with education from the nurse's point of view and patient awareness with subsequent informed consent. The research of my bachelor's thesis was processed using a qualitative method with semi-structured interview. The interview consisted of twenty questions. The research sample consisted of patients who were admitted for coronary angiography. The data that was obtained was further processed using coding and the "pencil and paper" method.The resulting investigation revealed that patients are sufficiently informed about coronary angiography. The delivery of information by the doctor or nurse to the patients was effective. Patients were well informed about coronary angiography and their sense of security increased.
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Automatic detection of ischemia in ECG
Noremberczyk, Adam ; Potočňák, Tomáš (referee) ; Ronzhina, Marina (advisor)
This thesis discusses the utilization of the artificial neural networks (ANN) for detection of coronary artery disease (CAD) in frequency area. The first part of this thesis is orientated towards the theoretical knowledge. Describes the issue of ECG pathological changes. ECQ are converted to frequency area. Described statistical methods and methods for automatic detection of CAD and MI. Explained the issue of the perceptron and ANN. The second deals with use of Neural Network Toolbox MATLAB®. This part focuses on counting and finding suitable parameters and making connection of band. At the end of the thesis UNS is used to detect ischemic parameters and the results are discussed. Average values for the best settings are 100% accuracy.
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Genetic variations in coronary artery disease
Kocmanová, Klára ; Roy, Sudeep (referee) ; Provazník, Ivo (advisor)
Tato bakalářská práce se zabývá genetikou onemocnění koronárních tepen. Díky studiu rizikových genetických variací je možné identifikovat ohrožené pacienty a vyvíjet cílenou léčbu. V první kapitole se zmiňuje anatomie, histologie a patofyziologie koronárních tepen. Druhá kapitola je zaměřena na dosavadní znalosti dědičnosti onemocnění koronárních tepen. Ve třetí kapitole jsou zmíněny dva genomické projekty, které přispěly ke studiu variací u onemocnění koronárních tepen, a způsoby čtení dat z jejich databází. Těmito projekty jsou 1000 Genomes Project a CARDIoGRAM plus CD4 consortium. Na základě dat z 1000 Genomes databáze byl získán referenční panel vazebné nerovnováhy. Dále byla provedena asociační analýza na základě dat ze souhrnné statistiky metaanalýzy provedené CARDIoGRAM plus CD4 konsorciem.
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Automatic detection of ischemia in ECG using artificial neural network
Noremberczyk, Adam ; Smital, Lukáš (referee) ; Ronzhina, Marina (advisor)
This thesis discusses the utilization of the artificial neural networks (ANN) as electrocardiography (ECG) classifiers of coronary artery disease (CAD) and myocardial infarction (MI) in ECG signal. The first part of this thesis is orientated towards the theoretical knowledge and describes the issue of ECG pathological changes, methods for automatic detection of CAD and MI and the issue of the perceptron and ANN. The second deals with use of Neural Network Toolbox MATLAB® version R2010a. In graphical user interface development environment (Guide) is created application that is used to compare the success of automatic detection of ischemia in ECG using ANN. It allows the user to set various parameter settings UNS and display ECG waveforms.
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Lipidomic analysis of adipose tissue in patients with ischemic heart disease
Tomášová, Petra ; Vecka, Marek (advisor) ; Poledne, Rudolf (referee) ; Neckář, Jan (referee)
The ever-increasing incidence of coronary artery disease (CAD) in Czech Republic and worldwide is one of the most important health problem today. Obesity and type 2 diabetes mellitus (DM2T) are risk factors for the development of CAD. Lipid metabolism is greatly affected by these diseases and adipose tissue, previously considered a mere energy store, also plays an important role in these changes. Today adipose tissue is discussed also as an endocrine organ, which effect whole body metabolism significantly. Lipidomic analysis is an effective tool for monitoring lipid metabolism. Lipidomics combines the advantages of determining a large number of analytes and a small amount of sample and its rapid preparation. In the first part of study, I optimized the HPLC-MS method of untargeted lipidomic analysis in adipose tissue. Then, this method was used to compare subcutaneous and epicardial adipose tissue. Finally, I evaluated the effect of CAD and DM2T on the lipid profiles of subcutaneous and epicardial adipose tissues. Optimization of the pre-analytical phase enabled the analysis of 206 lipid molecules (in total) in both types of adipose tissue. Compared to subcutaneous adipose tissue, epicardial adipose tissue contained a higher proportion of phosphatidylcholines (e.g. PC(32:0), PC(32:1), PC(36:4)) and...
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Genetic variations in coronary artery disease
Kocmanová, Klára ; Roy, Sudeep (referee) ; Provazník, Ivo (advisor)
Tato bakalářská práce se zabývá genetikou onemocnění koronárních tepen. Díky studiu rizikových genetických variací je možné identifikovat ohrožené pacienty a vyvíjet cílenou léčbu. V první kapitole se zmiňuje anatomie, histologie a patofyziologie koronárních tepen. Druhá kapitola je zaměřena na dosavadní znalosti dědičnosti onemocnění koronárních tepen. Ve třetí kapitole jsou zmíněny dva genomické projekty, které přispěly ke studiu variací u onemocnění koronárních tepen, a způsoby čtení dat z jejich databází. Těmito projekty jsou 1000 Genomes Project a CARDIoGRAM plus CD4 consortium. Na základě dat z 1000 Genomes databáze byl získán referenční panel vazebné nerovnováhy. Dále byla provedena asociační analýza na základě dat ze souhrnné statistiky metaanalýzy provedené CARDIoGRAM plus CD4 konsorciem.
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The knowledge of patients with coronary artery disease on the importance of nutrition and lifestyle.
Lukešová, Vlasta ; Tuka, Vladimír (advisor) ; Šnejdrlová, Michaela (referee)
Coronary artery disease is the most common cause of premature death, not only in our country but worldwide. The purpose of this thesis is to determine the habits of patients with this serious disease, the impact of education on their knowledge needed to change their current lifestyle and diet, success and possible barriers in putting these changes into practice. The easiest approach and conditions to the education in a physical activity area, lifestyle changes and nutrition have those patients with indicated spa treatment. For these reasons the research was carried out among patients treated in the spa Poděbrady through three consecutive surveys: in the beginning, at the end and three months after the end of the spa cure. The responses were carefully analysed. 45 patients with coronary artery disease and 22 patients after valvular disease surgery were involved in this study as a control group. With the further progress of the research the interest of patients and the response rate declined. Hazardous behaviour like smoking, lack of physical activity, increased salt intake, excessive energy intake of the patients with coronary artery disease was confirmed by this study. The study uncovered the lack of patients' interest in education resulting is low knowledge level of lifestyle and healthy diet...
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Analysis of selected genetic markers in patients after heart transplant
Petříková, Nikola ; Hubáček, Jaroslav (advisor) ; Vrablík, Michal (referee)
Heart transplantation is performed in patients with end-stage heart failure, in whom all other methods of treatment failed. The most common causes of end-stage heart failure are dilated cardiomyopathy and coronary artery disease. The destiny of these patients is highly variable. Prediction of long term survival in patients after heart transplantation is not satisfactory and up to now has not been found reliable marker. Most of the patients die after heart transplantation due to cardiovascular disease. This thesis is focused on molecular genetics and statistical analysis of four single nucleotide polymorphisms, namely rs17817449 (16q12.2, FTO gene), rs2943634 (2q36.3; intergenic region), rs6922269 (6q25.1; MTHFD1L gene), and rs10757274 (9p21.3; intergenic region). According to genome wide association studies are these SNPs assosiated with cardiovascular diseases. We genotyped DNA samples of 364 heart donors and 364 heart recipients. The results were statistically compared (using OR and Pearson's χ2 test) with the control group, which consisted of samples of individuals from the general population MONICA study. We examined the genotype in patients whose hearts failed due to dilated cardiomyopathy or coronary artery disease and then in patients with cardiac allograft vasculopathy. Furthermore, we focused on...
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Automatic detection of ischemia in ECG using artificial neural network
Noremberczyk, Adam ; Smital, Lukáš (referee) ; Ronzhina, Marina (advisor)
This thesis discusses the utilization of the artificial neural networks (ANN) as electrocardiography (ECG) classifiers of coronary artery disease (CAD) and myocardial infarction (MI) in ECG signal. The first part of this thesis is orientated towards the theoretical knowledge and describes the issue of ECG pathological changes, methods for automatic detection of CAD and MI and the issue of the perceptron and ANN. The second deals with use of Neural Network Toolbox MATLAB® version R2010a. In graphical user interface development environment (Guide) is created application that is used to compare the success of automatic detection of ischemia in ECG using ANN. It allows the user to set various parameter settings UNS and display ECG waveforms.
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Automatic detection of ischemia in ECG
Noremberczyk, Adam ; Potočňák, Tomáš (referee) ; Ronzhina, Marina (advisor)
This thesis discusses the utilization of the artificial neural networks (ANN) for detection of coronary artery disease (CAD) in frequency area. The first part of this thesis is orientated towards the theoretical knowledge. Describes the issue of ECG pathological changes. ECQ are converted to frequency area. Described statistical methods and methods for automatic detection of CAD and MI. Explained the issue of the perceptron and ANN. The second deals with use of Neural Network Toolbox MATLAB®. This part focuses on counting and finding suitable parameters and making connection of band. At the end of the thesis UNS is used to detect ischemic parameters and the results are discussed. Average values for the best settings are 100% accuracy.
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