Searchable abstracts of presentations at key conferences in endocrinology

ea0063p546 | Diabetes, Obesity and Metabolism 2 | ECE2019

Diagnostics of carbohydrate metabolism according to the regularity of menstrual cycle

Makhlina Elena , Navmenova Yana

Objectives: To analyze the presence of correlation between DHEA-S level and glycemic indices at CGMS of intercellular fluid according to the regularity of menstrual cycle of women with type 1 diabetes mellitus.Methods: The study of daily dynamics of glucose has been performed with continuous glucose monitoring system (CGMS) Medtronik MINIMED company, the USA. The study involved 155 patients with type 1 diabetes mellitus. The patients were divided into 2 ...

ea0032p422 | Diabetes | ECE2013

Assessment of glycemic control in patients with T1DM and depression

Navmenova Yana , Mokhort Tatiana

Aim: Is to determine the frequency of hypoglycemic states in patients with T1DM with and without depression.Materials and Methods: patients with T1DM (57 men and 51 women) aged 41.15 years (34.65, 46.66) were examined, with the experience of diabetes about 11.32 years (2.80, 11.90). Depression was determined according to the scale HADS. Assessment of glycemia was carried out with the help of daily monitoring system of glucose in intercellular fluid (CGMS...

ea0022p281 | Diabetes | ECE2010

The frequency of depression estimation among patients with diabetes mellitus

Navmenova Yana , Mokhort Tatiana

One of the most frequent psychological disturbances at patients with diabetes mellitus are depressions. According to the literature, the prevalence of depressions at patients with diabetes mellitus are ranging widely from 3.8 to 60.7%. This differences depend on diabetic population and the method of depression estimation.Objectives: To estimate the frequency of depression in patients with type 1 and type 2 diabetes mellitus (T1DM and T2DM)).<p class=...

ea0073aep436 | General Endocrinology | ECE2021

Analysis of glycemic variability in patients with diabetes mellitus type 2

Makhlina Elena , Navmenova Yana

ObjectiveTo identify risk factors affecting the severity of glycemic variability indicators in patients with diabetes mellitus type 2.Materials and methodsThe study included 92 patients with diabetes mellitus type 2 and an average age of 62.25 ± 9.52 years. A biochemical blood test was performed on an automated Cobas 6000 system. To assess the glycemic variability, the standard deviation (SD</smal...

ea0073ep132 | General Endocrinology | ECE2021

The prevalence of common risk factors for depression development in diabetes mellitus of the type 2

Navmenova Yana , Makhlina Elena

ObjectiveTo evaluate the frequency of common risk factors for depression development in patients with the diabetes mellitus of the type 2 (DM 2).Materials and methods163 patients with DM 2 at the age of 40–65 years old, period of DM is 11.18 [4.28; 22.33] years. The evaluation of the anxiety and depression level was carried out with the use of the Hospital anxiety and depression scale (HADS); a ...

ea0049ep523 | Diabetes complications | ECE2017

The prevalence of common risk factors for depression development in diabetes mellitus of the type 1

Navmenova Yana , Mahlina Eelena , Mohort Tatyana

Objective: To evaluate the frequency of common risk factors for depression development in patients with the diabetes mellitus of the type 1 (DM1).Materials and methods: 163 patients with DM1 at the age of 18–65 years old, period of DM is 11.18 (4.28; 22.33) years. The evaluation of the anxiety and depression level was carried out with the use of the Hospital anxiety and depression scale (HADS); a questionnaire was carried out with the use o...

ea0049ep523 (1) | Diabetes complications | ECE2017

The prevalence of common risk factors for depression development in diabetes mellitus of the type 1

Navmenova Yana , Mahlina Eelena , Mohort Tatyana

Objective: To evaluate the frequency of common risk factors for depression development in patients with the diabetes mellitus of the type 1 (DM1).Materials and methods: 163 patients with DM1 at the age of 18–65 years old, period of DM is 11.18 (4.28; 22.33) years. The evaluation of the anxiety and depression level was carried out with the use of the Hospital anxiety and depression scale (HADS); a questionnaire was carried out with the use o...

ea0037ep415 | Diabetes (complications &amp; therapy) | ECE2015

Assessment of dependence of the hypoglycaemic episodes frequency on gender factor

Mahlina Elena , Navmenova Yana , Mokhort Tatiana

Objective: Assessment of the frequency of hypoglycaemic episodes during daily monitoring of glucose in the subcutaneous water of women and men with type 1 diabetes mellitus.Methods: The study of daily dynamics of glucose has been performed with continuous glucose monitoring system (CGMS) Medtronik MINIMED company (USA). The study involved 162 patients with type 1 diabetes mellitus. The patients were divided into two groups: group 1 – women with regu...

ea0035p410 | Diabetes complications | ECE2014

Depression risk factors in type 1 diabetes mellitus

Navmenova Yana , Mokhort Tatiana , Makhlina Elena

Purpose: To evaluate the possible risk factors for depression development in type 1 diabetes mellitus (DM 1).Methods: 163 patients with DM 1. Depression was determined by the hospital anxiety and depression scale (HADS). Common factors of risk depression development were assessed by questionnaire survey according to a specially designed questionnaire. The levels of HbA1c and homocysteine (HC) serum were determined.Results: Depressi...

ea0070aep264 | Diabetes, Obesity, Metabolism and Nutrition | ECE2020

Evaluation of glycemia course in patients with diabetes mellitus type

Makhlina Elena , Navmenova Yana , Savasteeva Irina

Objectives: To analyze the indicators of carbohydrate metabolism depending on the characteristics of the manifestation of hypoglycemic reactions.Materials and methods: The study daily glucose dynamics was carried out with Medtronik MINIMED Continious Glucose Monitoring System (CGMS), USA.The standard glycose profile (4–5 per day) was measured in capillary blood with the Precision PCχTM glucose meter, MediSense. To analyz...