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Stress hyperglycemia during extreme cycling sports
Hájková, Michaela ; Heller, Jan (advisor) ; Šteffl, Michal (referee)
Introduction: This work focuses on the differences in metabolism in patients with type 1 diabetes associated with the stress response and interaction of insulin with epinephrine and cortisol. The main topic is increased hyperglycaemia during and immediately after a stress situation and the possibilities of regulation in this disease. The practical part consists of a case study of a subject with type 1 diabetes mellitus and his state of hyperglycemia during races of extreme cycling disciplines. Objectives: The main aim of this work is to introduce and descript this phenomen in Czech language, to clarify the issues of this phenomen and to conduct a case study to verify results of theoretical part. Methods: Methods that were used in this work includes literature rewiew summerising available materials on this topic and in the practical part a qualitative research method, a case study, examining one subject. Data from platform Diasend were observed and compared and the subject provided an interview. Results: The results of the case study support the findings of the literature review. The highest glucose levels during sport related stress reached up to 20.0 mmol/l despite increased basal and bolus doses. Keywords: glucose metabolism, diabetes mellitus, glycaemia, epinephrine, cortisol
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Health assessment using smart devices
Vargová, Enikö ; Filipenská, Marina (referee) ; Němcová, Andrea (advisor)
This thesis deals with the possibilities of non-invasive determination of blood glucose from photoplethysmographic signals. Elevated blood sugar is often associated with disease called diabetes mellitus. Diabetes is one of the world’s major chronic diseases. Untreated diabetes is often a cause of death. The aim of the work is to propose methods for glycemic classification and prediction. Two datasets have been created by recording the PPG signals using two smart devices (a smart wristband and a smartphone), along with their blood glucose levels measured in an invasive way. The PPG signals were preprocessed, and suitable features were extracted from them. Various machine-learning models for glycemic classification and prediction were created.
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Accuracy of Personal Glucometers
Kroulíková, Markéta ; Němcová, Andrea (referee) ; Sekora, Jiří (advisor)
This thesis deals with accuracy measurement of personal glucometers. The theoretical part is focused on processing information about glucose and its role in organism, diabetes mellitus, procedures and devices used in self-monitoring of glucose. The next part is focused on preparation of practical part, especially describing available personal glucometer, testing its measuring accuracy, the calculation of necessary measurements to perform the experiment and a description of the reference sample for data measurement.
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Regime of a Diabetic Patient during Hospitalization in the Surgical Ward at IKEM
Slavíková, Petra ; Bakusová, Tereza (advisor) ; Komínek, Tomáš (referee)
The bachelor's thesis focuses on research during the hospitalization of three type II. diabetics at the Transplantation Surgery Clinic at IKEM. The thesis is divided into theoretical and practical parts. The theoretical part describes the anatomy, history of diabetes, diagnosis, possible complications of diabetes, potential therapy, education of diabetics, and nursing care for diabetics. The practical part focuses on independent research of the regime by monitoring the diabetics for two days during their hospitalization. The aim of the thesis is to focus on the precise course of hospitalization for diabetics. The aim is not to control the correct course, but rather to examine the regime that is provided to diabetics on the surgical ward at IKEM. The thesis evaluates the regularity and amount of food intake, blood glucose measurements, insulin administration, and adherence to dietary measures. The thesis describes the individual nutrition of the selected diabetics, with precisely measured blood glucose values and the amount of insulin administered. It also includes final questioning of the patients on specific questions closely related to the regime. The goal of the interview was to identify potential complications that patients suffer from. Keywords: Diabetes Mellitus, blood glucose, IKEM, nursing care
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The effect of a low carbohydrate diet on the compensation of type 2 diabetes mellitus
Sedlářová, Lenka ; Sucharda, Petr (advisor) ; Sadílková, Aneta (referee)
Type 2 diabetes mellitus (T2D) is a chronic metabolic disease characterized by insulin resistance and several secondary complications. The prevalence of patients is constantly increasing, and thus the effort to improve the quality of therapy, new findings, and procedures capable of being applied in clinical practice are sought. Patients live with the disease for a long time, and the purpose of treatment is to improve the quality of life of diabetics and delay the onset of associated health complications. A combination of regimen measures is essential for successful treatment. Dietary measures in the form of a low-carbohydrate diet are still a popular choice of dietary options among diabetics. The aim of the practical part of the work was to prove the positive effect of a low- carbohydrate diet on T2D compensation. The primary objective was to demonstrate a significant reduction in glycated hemoglobin (HbA1c) in patients who eat or have eaten according to the principles of a low-carbohydrate diet for at least 12 months. Secondary objectives were set as follows: reduction of relative weight (BMI), reduction of pharmacotherapy and/or reduction of daily doses of antidiabetic drugs, reduction of fasting blood glucose and improvement of the lipid spectrum. The research group included patients from the...
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Health assessment using smart devices
Vargová, Enikö ; Filipenská, Marina (referee) ; Němcová, Andrea (advisor)
This thesis deals with the possibilities of non-invasive determination of blood glucose from photoplethysmographic signals. Elevated blood sugar is often associated with disease called diabetes mellitus. Diabetes is one of the world’s major chronic diseases. Untreated diabetes is often a cause of death. The aim of the work is to propose methods for glycemic classification and prediction. Two datasets have been created by recording the PPG signals using two smart devices (a smart wristband and a smartphone), along with their blood glucose levels measured in an invasive way. The PPG signals were preprocessed, and suitable features were extracted from them. Various machine-learning models for glycemic classification and prediction were created.
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Blood glucose concentration in Barn Swallow (\kur{Hirundo rustica}): sources of variability and association with fitness
VLČKOVÁ, Kamila
Glucose is an important fuel for intense activities of short duration, but in high concentration is reputed to be tissue-damaging at least in mammals. In birds, blood glucose concentration is naturally considerably higher than in other vertebrates of similar body mass. In this thesis, we focused on blood glucose concentration in the wild populations of the Barn Swallow (Hirundo rustica). Firstly, we investigated the level of repeatability of blood glucose concentration to find out if this trait is individual-specific and thus, it is subject to selection. Secondly, we examined which environmental and physiological variables explain variation in blood glucose level. Thirdly, we tested association of blood glucose level with fitness related traits, namely individual body mass and lifespan.
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Affect of bariatric treatment of diabetes compensation
Zemčáková, Simona ; Matoulek, Martin (advisor) ; Mráz, Miloš (referee)
This bachelor thesis deals with problems of obesity, diabetes mellitus and subsequent medical complications. We will focus on topic of obesity in the theoretical part. Obesity has become a global epidemic. In this thesis we will focus on the treatment of obesity and the follow up topic of diabetes mellitus in great detail. Diabetes mellitus counts as a disease of obesity. Diabetes mellitus causes grave illness when we do not keep to regime measures. Successful changes lifestyle, eating habits and increased physical activity have a positive impact on the health of the patient. If these measure do not help to improve the patient's health, then we turn to surgical treatment. We will compare the affect of different methods with metabolic parameters. The 54 patients participated in the scientific research, there of 33 diabetics and 21 nondiabetics. It was caused by a significiant decrease in weight reduction in both groups. The method of gastric bypass showed the biggest affect in weight reduction by group of diabetics. The weight loss is 32,6 kg after two years. The method of sleeve gastrectomy reduced blood glucose the best in the years after the surgical intervetion. From blood glucose 7,27 mmol/l to 5,62 mmol/l. The same method has a good affect in decrease of glycated hemoglobin. From 6,09 % to...
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