scholarly journals A COMPARATIVE STUDY OF INSULIN RESISTANCE IN OFFSPRINGS OF TYPE 2 DIABETES MELLITUS AND NON DIABETIC PATIENTS, A ONE YEAR CROSS SECTIONAL HOSPITAL BASED STUDY

2013 ◽  
Vol 2 (41) ◽  
pp. 7827-7833
Author(s):  
Arathi Darshan ◽  
Vikas Patil ◽  
Yeshvant G
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Comparative Study ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
One Year

scholarly journals The result of treadmill test in asymptomatic type 2 diabetes mellitus

2017 ◽  
Vol 3 (6) ◽  
pp. 166 ◽  
Author(s):  
Anil Shrinivasrao Joshi ◽  
Chandrakant Gunaji Lahane ◽  
Akshay Arvind Kashid
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Early Detection ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Duration Of Diabetes ◽  
Asymptomatic Patients ◽  
Cardiovascular Morbidity And Mortality

<p class="abstract"><strong>Background:</strong> <span lang="EN-IN">To study the prevalence of silent myocardial ischaemia in asymptomatic patients with type 2 DM</span>.</p><p class="abstract"><strong>Methods:</strong> <span lang="EN-IN">The present study was conducted in the Govt. Medical College and Hospital Aurangabad. During December 2012 to November 2014 with 50 patients. It was two year cross sectional study with the patients of asymptomatic type 2 diabetes mellitus without clinical and electrocardiographic evidence of coronary artery disease. </span></p><p class="abstract"><strong>Results:</strong> <span lang="EN-IN">12 (24%) out of 50 subjects had positive TMT. It correlated with years of duration of diabetes (9 positive TMT cases with duration of diabetes more than 10 years). 5 (25%) out of 20 had serum cholesterol levels &gt;240, Number of positive TMT were higher in patients with LDL &gt;160 [5 (25%) out of 20]</span>.</p><p class="abstract"><strong>Conclusions:</strong> <span lang="EN-IN">Diabetic patients are at very high risk for cardiovascular morbidity and mortality. Early detection of IHD is very important so that pharmacological therapy, which may improve outcome, can be established. Tread mill exercise TMT being a non-invasive test with high safety, has an important role in early detection of IHD. It is recommended that TMT should be a part of routine management in asymptomatic patients with type II DM. </span></p>

scholarly journals IDENTIFICATION AND ASSESSMENT OF PREDIABETES-A RURAL INDIAN STUDY (A CORRELATIVE STUDY BETWEEN QUESTIONNAIRE AND BIOCHEMICAL ANALYSIS)

2020 ◽  
pp. 36-40
Author(s):  
VENKATESAN S. ◽  
SUSILA S. ◽  
SUTHANTHIRAN S. ◽  
MADHUSUDHAN S. ◽  
PAARI N.
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Risk Score ◽  
Predictive Value ◽  
Screening Tool ◽  
Diabetic Patients ◽  
Cross Sectional ◽  
Family History Of Diabetes

Objective: To identify and prevent the vulnerable prediabetic population becoming diabetic patients in the future using the Indian Diabetic Risk Score (IDRS) and to evaluate the performance of the IDRS questionnaire for detecting prediabetes and predicting the risk of Type 2 Diabetes Mellitus in Chidambaram rural Indian population. Methods: A cross-sectional descriptive study was carried out among patients attending a master health check-up of RMMCH hospital located at Chidambaram. The IDRS was calculated by using four simple measures of age, family history of diabetes, physical activity, and waist measurement. The relevant blood test, like Fasting plasma glucose (FBS), Glycated hemoglobin (HbA1C) test, were observed for identifying prediabetes. Subjects were classified as Normoglycemic, prediabetics, and diabetics based on the questionnaire and diagnostic criteria of the Indian Council of Medical Research (ICMR) guidelines. Results: In the study, sensitivity and specificity of IDRS score were found to be 84.21% and 63.4% respectively for detecting prediabetes in community with the positive predictive value of 51.6% and negative predictive value of 89.6% and prevalence of prediabetes in the Chidambaram rural population is 31.6% among the 60 participants. Conclusion: The Indian diabetic risk score questionnaire designed by Ma­dras diabetic research federation is a useful screening tool to identify unknown type 2 diabetes mellitus. The question­naire is a reliable, valuable, and easy to use screening tool which can be used in a primary care setup. 

scholarly journals Prevalence of Metabolic Syndrome in individuals with Type 2 Diabetes Mellitus

2017 ◽  
Vol 70 (2) ◽  
pp. 265-270 ◽  
Author(s):  
José Cláudio Garcia Lira Neto ◽  
Mayra de Almeida Xavier ◽  
José Wicto Pereira Borges ◽  
Márcio Flávio Moura de Araújo ◽  
Marta Maria Coelho Damasceno ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Type 2 Diabetes Mellitus ◽  
Descriptive Analysis ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Chi Square ◽  
Cross Sectional

ABSTRACT Objective: to identify the prevalence of Metabolic Syndrome and its components in a population of patients with type 2 Diabetes Mellitus. Method: a cross-sectional study was conducted with 201 diabetic patients. A descriptive analysis and Chi-square and Fisher's exact tests ( p <0.05) were performed. Results: the majority of participants were females and overweight, with a mean age of 63.1 years and a low level of education, and categorized as physically inactive. Of all individuals investigated, 50.7% were diagnosed with Metabolic Syndrome and 92% had at least one of the syndrome components with values beyond those recommended. Conclusion: it is essential to take preventive actions and develop studies that help to identify the factors associated with this syndrome.

scholarly journals Increased circulating levels of musclin in newly diagnosed type 2 diabetic patients

2017 ◽  
Vol 14 (2) ◽  
pp. 116-121 ◽  
Author(s):  
Wen-Jia Chen ◽  
Yue Liu ◽  
Yu-Bin Sui ◽  
Bo Zhang ◽  
Xiao-Hui Zhang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Plasma Levels ◽  
Control Group ◽  
Diabetic Patients ◽  
Model Assessment ◽  
Newly Diagnosed

Background: Musclin is a newly identified skeletal muscle–derived secretory factor, which has been recently characterized as a stimulator that induces insulin resistance in mice. However, the pathophysiological role of musclin in humans remains poorly understood. The aim of this study was to explore the potential correlations between musclin plasma levels and various metabolic parameters in patients with type 2 diabetes mellitus. Materials and methods: In this hospital-based study, plasma samples were collected from the enrolled individuals, including 38 newly diagnosed, treatment-naive type 2 diabetes mellitus patients and 41 age- and gender-matched control subjects. Plasma musclin levels were examined by radioimmunoassay. Results: Compared with the control group, musclin plasma levels were significantly higher in untreated type 2 diabetes mellitus patients. Musclin levels in the plasma of newly diagnosed type 2 diabetes mellitus patients were positively correlated with fasting plasma glucose, haemoglobin A1c, serum insulin, triglycerides and homeostasis model assessment of insulin resistance. Furthermore, multivariate logistic regression analysis showed that the level of musclin was associated with the presence of type 2 diabetes mellitus. Receiver operating characteristic curve analysis yielded an area under the curve for musclin of 0.718 in type 2 diabetes mellitus. Conclusion: The circulating concentration of musclin was significantly increased in type 2 diabetes mellitus patients. Our results suggest that musclin has a strong relationship with insulin resistance in type 2 diabetes mellitus.

scholarly journals Correlations between PNPLA3 Gene Polymorphisms and NAFLD in Type 2 Diabetic Patients

Medicina ◽  
2021 ◽  
Vol 57 (11) ◽  
pp. 1249
Author(s):  
Oana Irina Gavril ◽  
Lidia Iuliana Arhire ◽  
Radu Sebastian Gavril ◽  
Madalina Ioana Zota ◽  
Andreea Gherasim ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Type 2 Diabetes Mellitus ◽  
Fatty Liver ◽  
Hepatic Steatosis ◽  
Subclinical Atherosclerosis ◽  
Diabetic Patients

Background and Objectives: Non-alcoholic fatty liver disease is a worldwide significant public health problem, particularly in patients with type 2 diabetes mellitus. Identifying possible risk factors for the disease is mandatory for a better understandingand management of this condition. Patatin-like phospholipase domain-containing protein 3 (PNPLA3) has been linked to the development and evolution of fatty liver but not to insulin resistance. The aim of this study isto evaluate the relationships between PNPLA3 and fatty liver, metabolic syndrome and subclinical atherosclerosis. Materials and Methods: The study group consisted of patients with type 2 diabetes mellitus without insulin treatment. The degree of liver fat loading was assessed by ultrasonography, and subclinical atherosclerosis was assessed using carotid intima-media thickness (CIMT). PNPLA3 rs738409 genotype determination was performed by high-resolution melting analysis that allowed three standard genotypes: CC, CG, and GG. Results: Among the 92 patients, more than 90% showed various degrees of hepatic steatosis, almost 62% presented values over the normal limit for the CIMT. The majority of the included subjects met the criteria for metabolic syndrome. Genotyping of PNPLA3 in 68 patients showed that the difference between subjects without steatosis and subjects with hepatic steatosis was due to the higher frequency of genotype GG. The CC genotype was the most common in the group we studied and was significantly more frequent in the group of subjects with severe steatosis; the GG genotype was significantly more frequent in subjects with moderate steatosis; the frequency of the CG genotype was not significantly different among the groups.When we divided the group of subjects into two groups: those with no or mild steatosis and those with moderate or severe steatosis it was shown that the frequency of the GG genotype was significantly higher in the group of subjects with moderate or severe steatosis. PNPLA3 genotypes were not associated with metabolic syndrome, subclinical atherosclerosis, or insulin resistance. Conclusions: Our results suggest that PNPLA3 does not independently influence cardiovascular risk in patients with type 2 diabetes mellitus. The hypothesis that PNPLA3 may have a cardioprotective effect requires future confirmation.

scholarly journals Comparison of Insulin Resistance in Lean and Obese Adults with Type 2 Diabetes Mellitus- A Cross-sectional Study

2020 ◽  
Author(s):  
Sandinti Deepa ◽  
V Lakshmaiah ◽  
K Prabhakar ◽  
A Raveesha ◽  
CR Vidyasagar ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Fasting Insulin ◽  
Obese Adults ◽  
Cross Sectional ◽  
Univariate Logistic Regression Analysis ◽  
C Peptide

Introduction: Insulin Resistance (IR) can develop into type 2 diabetes mellitus and is closely associated with obesity. However, the non-obese population has also shown a predisposition to the risk of IR due to genetics. Aim: To assess the relationship between IR and obesity in Type 2 Diabetes Mellitus (T2DM) by comparing the proportion of subjects with IR in lean and obese T2DM and to identify the factors predicting IR in T2DM. Materials and Methods: A cross-sectional, hospital-based study was done at Department of Medicine of RL Jalappa hospital, Kolar, Karnataka on 106 T2DM patients aged >18 years. The study population was grouped into lean (BMI <19 kg/m2) and obese adults (BMI >30 kg/m2). IR was calculated using Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) and was considered as primary outcome variable. Obesity was considered as primary explanatory variable. Age, Gender, fasting insulin, C-peptide, Fasting Blood Sugar, Glycated haemoglobin (GHB or HbA1c) were the other explanatory variables. Descriptive analysis was carried out using mean and standard deviation for quantitative variables, frequency and proportion for categorical variables. Chi-square test was used to test statistical significance between the groups. Univariate logistic regression analysis was done to identify the predictors of IR. IBM Statistical Package for Social Sciences (SPSS) version 22 was used for statistical analysis. The p-value <0.05 was considered to be statistically significant. Results: The 106 subjects involved in the study had a mean age of 53.88±9.21 years. 44 subjects (41.5%) had IR. Obese to lean diabetic patients were in the ratio of 1:4. The proportion of obese diabetic subjects was (n=84, 79.2%) whereas lean diabetics were (n=22, 20.8%). The proportion of obese diabetic subjects with IR was 38.1% while the proportion of lean diabetic subjects with IR was 54.55%, but this difference was statistically not significant (p=0.163). On univariate logistic regression analysis, fasting insulin (odds ratio of 2.442 with 95% CI of 1.665 to 3.851, p<0.001**) and C-peptide (odds ratio of 1.446 with 95% CI of 1.123, p=0.004) were statistically significant factors attributing to IR. Conclusion: There was no significant relationship between IR and obesity. IR was independently associated with Fasting insulin levels and C-peptide levels.

scholarly journals DISTRIBUTION PATTERNS AND RISK FACTORS OF DYSLIPIDEMIA IN PATIENTS WITH TYPE 2 DIABETES MELLITUS: A CROSS-SECTIONAL STUDY IN BOGOR, INDONESIA

2020 ◽  
pp. 5-8
Author(s):  
SARASWATI PRADIPTA ◽  
HERI WIBOWO ◽  
DANTE SAKSONO HARBUWONO ◽  
EKOWATI RAHAJENG ◽  
RAHMA AYU LARASATI ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Cross Sectional

Objective: Type 2 diabetes mellitus (T2DM) patients tend to have abnormal lipid profiles, explaining the association between elevated cholesterol andtriglyceride levels in diabetic patients and coronary heart disease. This study aims to evaluate how the common risk factors for dyslipidemia affectthe lipid profile of diabetic patients and to determine which factors can be used as predictors for the occurrence of dyslipidemia in T2DM patients.Methods: A total of 238 diabetic patients (63 male and 175 female; age: 31–70 years) were enrolled in this cross-sectional study. All of them hadundergone regular examinations in cohort studies on risk factors for non-communicable diseases conducted by the Ministry of Health in Bogorbetween December 2017 and January 2018.Results: The result found that age differences did not affect lipid profile levels, and the females had higher mean values of body mass index (p<0.001),total cholesterol (TC) (p<0.05), and high-density lipoprotein (HDL) (p<0.001) than the males. The most common occurrences of dyslipidemia werehigh TC level (57.1%), followed by high low-density lipoprotein (LDL) level (47.1%), high triglyceride level (37.4%), and low HDL level (16.4%). Beingoverweight was found to be the best predictor of dyslipidemia.Conclusion: The results of this study suggest that in T2DM patients, sex affects TC and HDL levels, whereas age does not exert a significant effect onthe lipid profiles. In addition, poor glycemic control, hypertension, and obesity may serve as predictors of dyslipidemia in T2DM patients.

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