scholarly journals Measurement of Urea and Creatinine as a Marker of Renal Function in Type 2 Diabetes Mellitus in Patients with Good Glycemic Control and Poor Glycemic Control

2019 ◽  
Vol 02 (09) ◽  
pp. 234-236
Author(s):  
Raisa Faheem ◽  
Tahmeen Jameel ◽  
Raiyan Ali Afrooz ◽  
Syed Junaid Ahmed
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Renal Function ◽  
Glycemic Control ◽  
Poor Glycemic Control ◽  
Good Glycemic Control

scholarly journals Correlation between Serum Magnesium Levels and HbA1C in Type 2 Diabetes Mellitus

2020 ◽  
Vol 1 (2) ◽  
pp. 136-144
Author(s):  
Madhavi Kondeti ◽  
Thejaswini Lalitha ◽  
Sathyam Durgam ◽  
Anuswaru M
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Serum Magnesium ◽  
Poor Glycemic Control ◽  
Good Glycemic Control ◽  
Mean Values ◽  
Group A

Background and Objective: Type 2 Diabetes Mellitus is a chronic disease resulting from acomplex inheritance, environmental interaction along with risk factors such as obesity andsedentary life style. Magnesium has been stated to have potential role in improving insulinsensitivity and preventing diabetes related complications. Hypomagnesaemia is proposed as oneof the factor in the pathogenesis of diabetic complications. The aim of our study is to estimatethe correlation between serum Magnesium levels and the level of Glycemic control (HbA1c) inpatients with Type 2 Diabetes Mellitus.Methods: This is an observational study conducted in SVRRGGH and SVMC, Tirupati, AndhraPradesh which included 94 patients with type 2 Diabetes mellitus of more than 5 years duration.These patients were divided into 2 groups based on level of Diabetic control. Group A included30 patients with HbA1c below 7.0mg/dL (good glycemic control) and Group B included 64patients with HbA1c above 7.0mg/dL (poor glycemic control). In both the groups SerumMagnesium levels were estimated.Results: Mean Serum Magnesium levels in Group A was 2.280±0.3955mg/dL while in Group Bit was 2.087±0.5834 mg/dL with a p-value 0.0379 (<0.05) which is statistically significant. Inour study though the mean values of serum Magnesium are within normal reference range, meanvalues of serum Magnesium levels in patients with poor glycemic control(HbA1c>7.0) arestatistically low as compared to patients with good glycemic control (HbA1c <7.0).Discussion: It has been reported that Serum Magnesium levels are lower in uncontrolleddiabetics when compared to controlled diabetics and also serum magnesium levels vary withtreatment for diabetes. In our study, although the mean values of serum magnesium in bothgroups are within Normal reference range (1.7-2.2mg/dL), they are statistically low in groupwith poor glycemic control (HbA1c >7.0mg/dL) when to group with good glycemic control(HbA1c< 7.0mg/dL).Thus this gives an insight into the association of hypomagnesaemia andlevel of diabetic control.Conclusion: This effective comparative study of deals with varying Magnesium levels inspecific diabetic therapies and analysed the effect of urinary magnesium detected inHypermagnesuria with Magnesium supplementation.

CORRELATION BETWEEN LIPID PROFILE AND HbA1C IN GOOD AND POOR GLYCEMIC CONTROL TYPE 2 DIABETES MELLITUS PATIENTS AT A TERTIARY CARE HOSPITAL.

2021 ◽  
pp. 84-85
Author(s):  
Vinitha. S ◽  
Veena Juliette. A
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Poor Glycemic Control ◽  
Control Groups ◽  
Good Glycemic Control ◽  
Positive Correlation ◽  
History Of

Type 2 diabetes mellitus (T2DM) is a globally acknowledged health issue with its effect on human health, living standards, economy and health system. HbA C levels are routinely measured to monitor glycemic control. HbA C level 1 1 <7% is considered good glycemic control and HbA C level> 7% is considered poor glycemic control. Previous studies have reported that HbA C 1 1 level can be utilized as a possible biomarker for predicting dyslipidemia and consequent cardiovascular disease in diabetes mellitus patients. The aim of this study is to nd the association of lipid prole with HbA C in good glycemic control and poor glycemic control T2DM. This is a cross 1 sectional study conducted on 100 patients attending OPD with established diagnosis of T2DM of both sexes with no history of cardiovascular, renal or thyroid disease or history of lipid lowering drug intake. They were analysed for fasting (FBS) and postprandial (PBS) blood sugar, lipid prole and HbA C. Patients were classied into poor and good glycemic control groups based on their HbA C values. This study showed strong 1 1 positive correlation between FBS and HbA C. Lipid levels were higher in poor glycemic control groups with total cholesterol and low density 1 lipoprotein cholesterol showing signicant positive correlation with HbA C .Total triglycerides and HDL do not show any signicant correlation 1 with HbA C.

scholarly journals Poor Glycemic Control: Prevalence and Risk Factors Among Patients with Type 2 Diabetes Mellitus in Northeast State of Peninsular Malaysia

2020 ◽  
Vol 4 (3) ◽  
pp. 206
Author(s):  
Hafizuddin Awang ◽  
Siti Mariam Ja’afar ◽  
Nurul Adhiyah Wan Ishak ◽  
Muhamad YusofZainal ◽  
Abdul Mukmin Mohamed Aminuddin ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Multivariable Analysis ◽  
Peninsular Malaysia ◽  
Poor Glycemic Control ◽  
Health Concern ◽  
Good Glycemic Control

Background: Poor glycemic control remains an on-going public health concern worldwide. With the increasing prevalence of diabetes mellitus in Malaysia, good control of blood glucose level is paramount to avert life-long complications of diabetes mellitus. Hence, this study aimed to determine the prevalence of poor glycemic control and its associated factors to assist clinicians in achieving good glycemic control among diabetic patients.Materials and Methods: A comparative cross-sectional study between groups of good glycemic control and poor glycemic control patients was conducted among type 2 diabetes mellitus (T2DM) patients who fulfilled study criteria in Pasir Puteh district, Kelantan, a northeast state of Peninsular Malaysia. Eligible samples registered in the National Diabetes Registry from 1st January 2019 until 31st December 2019 were recruited into the study. Descriptive statistics, simple and multiple logistic regressions were used for data analysis.Results: The prevalence of patients with poor glycemic control in Pasir Puteh district was 79.6%% (95% CI: 0.78, 0.81). Multivariable analysis using multiple logistic regression revealed age, duration of diabetes, cigarette smoking, presence of hypertension and presence of dyslipidaemia were the significant factors associated with poor glycemic control among T2DM patients in Pasir Puteh district with an adjusted odds ratio (AOR) of 0.93 (95%CI:0.91, 0.94); p<0.001), AOR 1.19 (95%CI:1.14, 1.25; p<0.001), AOR 2.75 (95%CI:1.52, 4.97; p=0.001), AOR 2.19 (95%CI:1.32, 3.62; p=0.002) and AOR 2.16 (95%CI:1.45, 3.21; p<0.001) respectively.Conclusion: This study provided important criteria for clinicians to improve management of diabetes mellitus and optimize glycemic control based on the pinpointed significant risk factors.International Journal of Human and Health Sciences Vol. 04 No. 03 July’20 Page : 206-214

Benefits of micronised Fenofibrate in type 2 diabetes mellitus subjects with good glycemic control

2001 ◽  
Vol 154 (2) ◽  
pp. 469-474 ◽  
Author(s):  
C.E. Tan ◽  
L.S. Chew ◽  
E.S. Tai ◽  
L.F. Chio ◽  
H.S. Lim ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Good Glycemic Control

scholarly journals Laboratory Parameters of Hemostasis, Adhesion Molecules, and Inflammation in Type 2 Diabetes Mellitus: Correlation with Glycemic Control

2020 ◽  
Vol 17 (1) ◽  
pp. 300 ◽  
Author(s):  
Eleonora Palella ◽  
Rossella Cimino ◽  
Salvatore A. Pullano ◽  
Antonino S. Fiorillo ◽  
Elio Gulletta ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Adhesion Molecules ◽  
Adhesion Molecule ◽  
Vascular Complications ◽  
Poor Glycemic Control ◽  
Pai 1

Background: Type 2 diabetes mellitus (T2DM) is characterized by a prothrombotic state, predisposing to vascular complications. Some related markers, linking thrombophilia to hemostasis and inflammation, however, have been poorly explored in relation to patients’ glycemia. We therefore investigated the association of laboratory hemostatic parameters, circulating adhesion molecules (ADMs), white blood cell (WBC) count, and neutrophil/lymphocyte ratio (NLR) with T2DM and glycemic control. Research design: In this study, 82 subjects, grouped into T2DM patients (n = 41) and healthy individuals (n = 41) were enrolled. To evaluate glycemic control, the T2DM cohort was expanded to 133 patients and sub-classified according to glycated hemoglobin (HbA1c) <7% and ≥ 7% (n = 58 and n = 75, respectively). We assessed glycemia, HbA1c, prothrombin time (PT), activated partial thromboplastin time (aPTT), fibrinogen, plasminogen activator inhibitor-1 (PAI-1), platelet and leukocyte parameters, vascular cell adhesion molecule 1 (VCAM-1), intercellular adhesion molecule 1 (ICAM-1), and selectins (E-, P-, L-). Results: PT % activity, PAI-1, VCAM-1, WBC, and neutrophil counts were significantly higher in T2DM patients than in healthy subjects. Poor glycemic control (HbA1c ≥ 7%) was correlated with increased PT activity (p = 0.015), and higher levels of E-selectin (p = 0.009), P-selectin (p = 0.012), and NLR (p = 0.019). Conclusions: Both T2DM and poor glycemic control affect some parameters of hemostasis, inflammation, and adhesion molecules. Further studies are needed to establish their clinical utility as adjuvant markers for cardio-vascular risk in T2DM patients.

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