scholarly journals A Study of Relationship Between Serum Uric Acid, and Fasting Plasma Glucose in Type 2 Diabetes Mellitus Patients

2020 ◽  
Vol 11 (4) ◽  
pp. 7229-7233
Author(s):  
Anuradha G ◽  
Santhini Gopalakrishnan S ◽  
Vinodakumar H R
Keyword(s):  
Uric Acid ◽  
Linear Regression ◽  
Regression Model ◽  
Serum Uric Acid ◽  
Plasma Glucose ◽  
Linear Regression Model ◽  
Fasting Plasma Glucose ◽  
The Mean ◽  
The Relationship

The current study was conducted to observe the relationship between serum uric acid, lipid profile and fasting plasma glucose in type 2 DM patients. It was a cross-sectional study. A total of 618 participants were included in the study (203-healthy, 206-prediabetic and 209-T2DM). One way analysis of variance was used to compare the mean between these three groups. A linear regression model was used to find the relationship between SUA and FPG in T2DM. The mean values of serum uric acid in pre-diabetes and T2DM (4.929±1.33 and 4.69±1.41 mg/dl, respectively) were lower compared to healthy (5.40±1.08 mg/dl). SUA showed a significant positive correlation with serum triglycerides in T2DM (p<0.05). The linear regression model showed that SUA was inversely associated with FPG in T2DM after adjustment for age and gender. The biological interrelationship observed in the current study raises the possibility of potential pathogenic overlap between SUA and FPG. SUA might be involved in a metabolic imbalance which in turn leads to T2DM.

scholarly journals Serum uric acid level in type 2 diabetes mellitus

2019 ◽  
Vol 6 (4) ◽  
pp. 1265
Author(s):  
D. Vasantha Kalyani ◽  
M. Ilamaran ◽  
P. Suresh Kumar ◽  
Saranya Nagalingam
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Uric Acid Level ◽  
Acid Level ◽  
Serum Uric Acid Level ◽  
The Mean ◽  
Artery Disease

Background: Diabetes mellitus is the most important risk factor associated with two to four fold increased incidence of coronary artery disease. The major risk factors for CAD are hypercholesterolemia, hypertension, diabetes mellitus, and cigarette smoking Objectives: To study the level of serum uric acid in type 2 diabetes mellitus and the correlation between elevated serum uric acid level and the component of metabolic syndrome like obesity, hypertension, dyslipidemia.Methods: The study was done as descriptive analytical study among the diabetic patients in a tertiary care setting during the period January 2018 to February 2019. The inclusion and exclusion criteria were clearly defined and the study participants were recruited for the study after getting the informed consent. The socio demographic profile, clinical and laboratory data were collected from the blood sample obtained from the patients with the standardized procedures. Data was entered in Microsoft excel spread sheet and analyzed statistically using SPSS statistical software. Student ‘t’ test and Chi-square test values were applied for significance.Results: Serum uric acid in the study population and control varied from 3.0 to 8.1 and 2.7 to 5.5 mg/dl respectively. The mean and standard deviation of uric acid among cases was 5.08±1.42 while in control it was 3.55±0.62 respectively. The serum uric acid level of diabetics was very much elevated compare with controls and it was highly significant. Significant correlation was noticed between serum uric acid and BMI as well as WHR. Elevated uric acid levels were significantly noticed among those with hypertension, dyslipidemia, coronary artery disease and chronicity of the diabetes.Conclusions: Uric acid was significantly elevated in diabetic population and the mean value of serum uric acid level was higher in longer duration of diabetes, hypertension, dyslipidemia, central obesity which are the components of metabolic syndrome.

SERUM URIC ACID LEVELS IN NEWLY DIAGNOSED CASES OF TYPE 2 DIABETES MELLITUS IN ASSAM: A CASE CONTROL STUDY

2021 ◽  
pp. 10-12
Author(s):  
Madhurima Bora ◽  
Siddiqul Alom Akand ◽  
Sherin Gogoi
Keyword(s):  
Diabetes Mellitus ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Case Control Study ◽  
Newly Diagnosed ◽  
Healthy Individuals ◽  
The Mean ◽  
Sugar Levels ◽  
Control Study

INTRODUCTION: T DM is a metabolic disorder characterized by hyperglycemia with disturbances of carbohydrate, 2 fats and protein metabolism. Hyperuricaemia has often been associated with diabetes mellitus. 100 patients METHOD: with T DM diagnosed according to ADA guidelines and 100 age sex matched normal healthy individuals as controls were selected. Serum Uric 2 acid and Fasting blood sugar levels were measured and the results were analyzed statistically Statistical analysis of the results shows RESULTS: signicant increase in Serum Uric acid in the cases (P<0.001) the mean S CONCLUSION: erum Uric acid level was found to be signicantly higher in newly diagnosed cases of T DM

scholarly journals Comparative Study of Level of Serum Uric Acid in Type 2 Diabetes Mellitus Associated with Hypertension

2018 ◽  
Vol 9 (2) ◽  
pp. 96-101
Author(s):  
Roksana Yeasmin ◽  
MA Muttalib ◽  
Nazneen Sultana ◽  
Md Jamil Hasan Karami ◽  
Ayatunnessa ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Exercise Time ◽  
The Mean ◽  
And Control

Background: The role of uric acid in the progression of prediabetes to diabetes has been known. Serum uric acid has been shown to beassociated with cardiovascular disease, hypertension, and chronic kidney disease. However, conflicting data exist asregards the serum uric acid (UA) levels in type 2 diabetes mellitus, which are associated with risk factors andcomplications.Material & Methods: The present study was designed to look for any association of serum uric acid with hypertension in type 2diabetes mellitus, taking into consideration the relevant clinical, biochemical and the anthropometric data. 110 patientswith type 2 male diabetes mellitus as case and 100 healthy malecontrols were included in this study.Results: This study shows that there were significant differences in mean of age, duration of DM, exercise time, waist hip ratio, systolic blood pressure and diastolic blood pressure within case and control but no significant differences of mean BMI was found between and control. The mean age, duration of DM, exercise time, waist hip ratio, systolic blood pressure and diastolic blood pressure and BMI were (51.83±9.911 years, 6.87±5.54 years, 1.94±.831 hours, .92±.03, 140±6.75 mm of Hg,90±2.41 mm of Hg and 25.43±3.19 Kg/m2 respectively), where as in controls these were (44.81±9.66 yrs, 00 years, 1.12±.327 hours, .91±.03, 130±1.28 mm of Hg, 80±6.18 mm of Hg and 24.96±3.02 Kg/m2 respectively). This table also shows that significant differences in mean of FBS, ABF, HbA1C and S. Uric acid between case and control, but there was no significant differences of mean TG, Cholesterol, HDL and LDL. The mean of FBS, ABF, HbA1C and S. Uric acid among the cases were (8.19±2.48 mmol/L, 11.29±3.47 mmol/L, 7.96±6.04 mg%, 189.72±111.36 mg/dl, 179±43 mg/dl, 38.38±13.77 mg/dl, 102.10±35.79 mg/dl and 8.39±2.61 mg/dl respectively, on the other hand among the control these were 5.91±1.13 mmol/L, 9.19±1.95 mmol/L, 5.93±1.01 mg%, 200±104.49 mg/dl, 183±42.25 mg/dl, 38.14±5.52 mg/dl, 110±33.23 mg/dl and 5.14±.84 mg/dl respectively.Anwer Khan Modern Medical College Journal Vol. 9, No. 2: Jul 2018, P 96-101

scholarly journals Association of Serum Uric Acid with 2-Hour Postload Glucose in Chinese with Impaired Fasting Plasma Glucose and/or HbA1c

PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e67759 ◽  
Author(s):  
Hong-Qi Fan ◽  
Wei Tang ◽  
Zhi-Xiao Wang ◽  
Su-Juan Wang ◽  
Yue-Hua Qin ◽  
...  
Keyword(s):  
Uric Acid ◽  
Serum Uric Acid ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Fasting Plasma

The Settlement Prediction of Pile Foundation Based on Grey Linear Regression Model

2012 ◽  
Vol 204-208 ◽  
pp. 320-325
Author(s):  
Jia Kun Liu ◽  
Jian Ping Wang ◽  
Min Zhu ◽  
Xiao Jie Hou
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Pile Foundation ◽  
Load Test ◽  
Static Load Test ◽  
Combined Model ◽  
Actual Meaning ◽  
Relationship Of ◽  
The Relationship

Grey linear regression model is a covert grey combined model that is built based on GM(1,1) model and linear regression model. It improves undervaluation of linear regression model which can not in press the exponential growth and come to deficiency of grey GM (1, 1) model which has not linear factor. This paper briefly introduces the establishment and precision examination method of the grey linearity regression model and establishes the grey linear regression model to predict the relationship of load and settlement. Based on the data of static load test, the load-settlement curve is simulated and analyzed. The result of study shows that Grey Linear regression Model can effectively predict the settlement of pile foundation, and be of the theoretical and actual meaning for further analyzing the bearing capability of pile foundation.

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