scholarly journals Microalbuminuria in Women with Risk Factors for Gestational Diabetes Mellitus in Some Selected Hospitals in Sokoto, Nigeria

Author(s):  
M. K. Dallatu ◽  
A. M. Kaoje ◽  
A. U. Adoke ◽  
J. A. Kehinde ◽  
J. M. Bunza

Gestational diabetes mellitus (GDM) is a common metabolic abnormality which affects approximately 2-5% of pregnancies. Risk factors such as previous infants with macrosomia, strong family history of type 2 diabetes or GDM, poor glycaemic control and high pre-pregnancy body mass index (BMI) have been implicated in the development of GDM. This study was conducted to determine the prevalence of Microalbumnuria in women with risk factors for GDM and to estimate the levels of Urinary Microalbumin in these women. Fifty (50) pregnant women with risk factors for GDM and 50 controls (pregnant women without risk factors for GDM) were evaluated for Microalbuminuria. Microalbuminuria was estimated using Turbidimetric method, Random Plasma Glucose was estimated using Glucose oxidase method, serum Urea was estimated using Diacetyl Monoxime method, Creatinine was estimated using Jaffe Slot method and Albumin was estimated using Bromo Cresol Green method. The prevalence of Microalbuminuria in women with risk factors for GDM was 22%. Urinary microalbumin was significantly higher in the study subjects (56.36 ± 8.44 mg/L) than in the control (17.32 ± 4.5) mg/L. The mean ± standard error of mean of random plasma glucose in the study subjects was (5.84 ± 0.16) mmol/L and that of the control was (4.33 ± 0.14) mmol/L. The mean ± standard error of mean Serum Urea, Creatinine and Albumin were (4.1 ± 0.15) mmol/L, (0.70 ± 0.03) mg/dL, and (3.06 ± 0.05) g/dL respectively while that of the control was (3.47 ± 0.13) mmol/L, (0.63 ± 0.01) mg/dL and (2.78 ± 0.09) g/dL respectively. Obesity was strongly correlated to microalbuminuria.

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Mayu Watanabe ◽  
Akihiro Katayama ◽  
Hidetoshi Kagawa ◽  
Daisuke Ogawa ◽  
Jun Wada

Poor maternal glycemic control increases maternal and fetal risk for adverse outcomes, and strict management of gestational diabetes mellitus (GDM) is recommended to prevent neonatal and maternal complications. However, risk factors for the requirement of antenatal insulin treatment (AIT) are not well-investigated in the pregnant women with GDM. We enrolled 37 pregnant women with GDM and investigated the risk for AIT by comparing the patients with AIT (AIT group;n=10) and without insulin therapy (Diet group;n=27). The 1-h and 2-h plasma glucose levels and the number of abnormal values in 75 g OGTT were significantly higher in AIT group compared with Diet group. By logistic regression analysis, plasma glucose level at 1-h was significant predictor for AIT and the odds ratios were 1.115 (1.004–1.239) using forward selection method and 1.192 (1.006–1.413) using backward elimination method. There were no significant differences in obstetrical outcomes and neonatal complications. 1-h plasma glucose levels in 75 g OGTT are useful parameters in predicting the requirement for AIT in GDM. Both maternal and neonatal complications are comparable in GDM patients with and without insulin therapy.


2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Qiang Wei ◽  
Xiaomin Pu ◽  
Li Zhang ◽  
Yi Xu ◽  
Meifan Duan ◽  
...  

Introduction. The aim of the present study was to examine placental levels of DUSP9 mRNA and protein and to investigate the potential role of DUSP9 in the development of gestational diabetes mellitus (GDM). Methods. Placental tissues from pregnant women with GDM (n=17) and normal healthy pregnant women (n=16) were collected at delivery. The expression of DUSP9 mRNA in placental tissue was analyzed by real-time PCR, while the expression of DUPS9 protein was evaluated by immunohistochemistry and western blot. Differences in the expression levels of DUSP9 mRNA and protein between the two groups were assessed, as well as potential correlations between DUSP9 mRNA expression levels and relevant clinical indicators. Results. Blood glucose levels were significantly higher in the GDM group than in the control group, based on an oral glucose tolerance test. DUSP9 protein was expressed in the placental cytotrophoblasts in both groups, and placental levels of DUSP9 protein and mRNA were significantly higher in women with GDM. Placental DUSP9 mRNA levels in all 33 women correlated moderately with delivery gestational week (R=0.465, P=0.006), fasting plasma glucose (R=0.350, P=0.046), 1-hour postload plasma glucose (R=0.363, P = 0.038), and 2-hour postload plasma glucose (R=0.366, P=0.036), but not with maternal age, preconception body mass index, prenatal body mass index, or neonatal birth weight. Multiple linear regression analysis indicated that delivery gestational week was an influence factor of DUSP9 mRNA levels (β1=0.026, P<0.05). Conclusions. DUSP9 upregulation in the placenta of GDM pregnant women may promote insulin resistance, which may correlate with the occurrence of GDM. But there is still possibility that DUSP9 upregulation was the results of insulin resistance and/or hyperglycemia. Further research is needed to explore the role of DUSP9 in GDM.


2016 ◽  
Vol 06 (04) ◽  
pp. 269-276 ◽  
Author(s):  
Jean Baptsite Niyibizi ◽  
Florien Safari ◽  
Jean Bosco Ahishakiye ◽  
Jean Bosco Habimana ◽  
Herbert Mapira ◽  
...  

2019 ◽  
Vol 10 (2) ◽  
pp. 26-30
Author(s):  
Vivek Sinha ◽  
Poonam Kachhawa

Background: Gestational diabetes mellitus (GDM) is a common medical condition that complicates pregnancies..Gestational diabetes mellitus (GDM) is a diabetic metabolic disorder that occurs in 4% of all pregnant women and 14% of ethnic groups with more prevalence of type II diabetes. It can be defined as increased or abnormal insulin resistance, decreased insulin sensitivity or glucose intolerance with first diagnosis during pregnancy. Aims and Objectives: The purpose of this study was to evaluate the diagnostic screening value of the HbA1c, prevalence of GDM and associated risk factors. Materials and Methods: The study was conducted at the metabolic clinic; in the department of Biochemistry located at SIMS, Hapur. A semi-structured pretested questionnaire was used for data collection. Following the DIPSI guidelines, patients with plasma glucose values >140 mg/dl were labeled as GDM. Statistical methods used were OR (CI95%), percentage, Chi square. Results: Out of 500, 6.72% had GDM. Among all GDM patients, 64.71% had age more than 30 years, 70.59% had BMI more than 25, 41.18% had gravida more than 3 and p- value was significant with regard to age and BMI. P value was found to be significant for risk factors namely positive family history of Diabetes Mellitus, history of big baby and presence of more than one risk factor. Conclusion: GDM is associated with high BMI, early pregnancy loss, family history of DM and previous history of big baby and there could be more than one risk factor. Thus universal screening followed by close monitoring of the pregnant women for early detection of GDM may help improving maternal and fetal outcomes.


2015 ◽  
Vol 7 (S1) ◽  
Author(s):  
Renata Selbach Pons ◽  
Fernanda Camboim Rockett ◽  
Bibiana de Almeida Rubin ◽  
Maria Lúcia Rocha Oppermann ◽  
Vera Lúcia Bosa

Author(s):  
Martina Gáborová ◽  
Viera Doničová ◽  
Ivana Bačová ◽  
Mária Pallayová ◽  
Martin Bona ◽  
...  

Background: The aim of the study was to compare the continuous glucose monitoring (CGM)-determined glycaemic variability (GV) of pregnant women with gestational diabetes mellitus (GDM) and without GDM (CG; control group). The secondary aim was to evaluate the association between risk factors of diabetes in pregnancy and parameters of glyceamic control. Methods: Demographic, biometric and biochemical parameters were obtained for pregnant women (20–38 years old) who after an oral glucose tolerance test were examined by 7-day continuous glucose monitoring using a iPro®2 Professional CGM. Results: The differences in GV between women with GDM and CG compared by total area under glucose curve (total AUC, (mmol·day/L) was statistically significant (p = 0.006). Other parameters of glycaemic control such as mean glucose, standard deviation, coefficient of variation, J-index, % time-above target range 7.8 mmol/L (%TAR), % time-in range 3.5–7.8 mmol/L (%TIR), time-below target range 3.5 mmol/L (%TBR), glycated haemoglobin were not significantly different in the study groups. Risk factors (a family history of diabetes, pre-pregnancy BMI, higher weight gain and age) correlated with parameters of glycaemic control. Conclusions: We found a significant difference in GV of women with and without GDM by total AUC determined from CGM. TIR metrics were close to significance. Our work points at an increased GV in relation to the risk factors of GDM. Pregnant women with risk factors have higher probability of severe GV with its consequences on maternal and fetal health state.


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