P105: Frailty as a consequence of the metabolic syndrome (case study of the diabetes mellitus type 2)

2014 ◽  
Vol 5 ◽  
pp. S116
Author(s):  
M. Pozdnyakova ◽  
K.I. Prashchayeu ◽  
N. Ilnitski ◽  
V. Pavlova ◽  
V. Bashuk ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Metabolic Syndrome ◽  
Diabetes Mellitus Type 2 ◽  
Diabetes Mellitus Type ◽  
The Metabolic Syndrome

GRAPE POLYPHENOLS AS PATHOGENIC THERAPY OF THE METABOLIC SYNDROME AND DIABETES MELLITUS TYPE 2

2018 ◽  
Vol 25 (3) ◽  
pp. 218
Author(s):  
Vitalina Petrenko ◽  
Anatoliy Kubyshkin ◽  
Irina Fomochkina ◽  
Natalia Kornienko ◽  
Alexander Kucherenko
Keyword(s):  
Diabetes Mellitus ◽  
Metabolic Syndrome ◽  
Diabetes Mellitus Type 2 ◽  
Diabetes Mellitus Type ◽  
Grape Polyphenols ◽  
The Metabolic Syndrome

scholarly journals The Role of Testosterone in the Etiology and Treatment of Obesity, the Metabolic Syndrome, and Diabetes Mellitus Type 2

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Farid Saad ◽  
Louis J. Gooren
Keyword(s):  
Diabetes Mellitus ◽  
Metabolic Syndrome ◽  
Diabetes Mellitus Type 2 ◽  
Diabetes Mellitus Type ◽  
Plasma Testosterone ◽  
Major Health Problem ◽  
The Metabolic Syndrome ◽  
Cardiovascular Morbidity And Mortality ◽  
Increased Risk

Obesity has become a major health problem. Testosterone plays a significant role in obesity, glucose homeostasis, and lipid metabolism. The metabolic syndrome is a clustering of risk factors predisposing to diabetes mellitus type 2, atherosclerosis, and cardiovascular morbidity and mortality. The main components of the syndrome are visceral obesity, insulin resistance, glucose intolerance, raised blood pressure and dyslipidemia (elevated triglycerides, low levels of high-density lipoprotein cholesterol), and a proinflammatory and thrombogenic state. Cross-sectional epidemiological studies have reported a direct correlation between plasma testosterone and insulin sensitivity, and low testosterone levels are associated with an increased risk of type 2 diabetes mellitus, dramatically illustrated by androgen deprivation in men with prostate carcinoma. Lower total testosterone and sex hormone-binding globulin (SHBG) predict a higher incidence of the metabolic syndrome. Administration of testosterone to hypogonadal men reverses part of the unfavorable risk profile for the development of diabetes and atherosclerosis.

scholarly journals Development of an expert system for pre-diagnosis of hypertension, diabetes mellitus type 2 and metabolic syndrome

2020 ◽  
Vol 26 (4) ◽  
pp. 2776-2791
Author(s):  
Claudio Urrea ◽  
Alexis Mignogna
Keyword(s):  
Diabetes Mellitus ◽  
Metabolic Syndrome ◽  
Expert System ◽  
High Risk ◽  
Web Application ◽  
Diabetes Mellitus Type 2 ◽  
Diabetes Mellitus Type ◽  
World Health ◽  
Diagnosis Of Hypertension

This study involved the development of an expert system for the pre-diagnosis of hypertension, diabetes mellitus type 2 and metabolic syndrome. The expert system has been developed using web technologies, PHP, Apache and MySQL with CLIPS tool; the expert system includes three algorithms designed by the authors, one for each disease. The objective of this study is to provide an expert system capable of performing a pre-diagnosis for early detection of hypertension, diabetes mellitus type 2 and metabolic syndrome. The methodology to build the system consists in associated risk factors, clinical variables diagnosis criteria based on World Health Organization standards in three algorithms and then develop a program that interacts with users, besides the expert system is compared with the existing expert systems in order to show its originality and innovation. The rules of systems are designed using CLIPS systems and the Architecture Apache, MySQL and PHP for the user interface and database. The system was validated by 72 patient(s) and 3 real doctors, the total result over 72 patient(s) is low risk 16.6 percent, moderate risk 30.5 percent, moderate high risk 13.8 percent, high risk 23.6 percent, very high risk 15.2 percent, and the doctors’ feedback was similar to that shown by the system. The number of rules to create the algorithms and the criteria used were adequate and sufficient to obtain the pre-diagnosis of each disease; in addition, the languages used to design and create the web application were stable. All users who used the system obtained similar results to those obtained by doctors.

Sign in / Sign up

Export Citation Format

Share Document