scholarly journals Knowledge of gestational diabetes mellitus among antenatal women in rural area of Maharashtra

Author(s):  
Udaykiran U. Bhalge ◽  
Mukund D. Bhise ◽  
Anant A. Takalkar ◽  
Bhaskar S. Gaikwad

Background: Gestational diabetes mellitus (GDM) is a growing epidemiological problem. GDM is defined as glucose intolerance during pregnancy. Treatment of GDM is important to avoid maternal and fetal complication. The objective of this study is to assess the knowledge about gestational diabetes mellitus among antenatal mothers from rural area.Methods: A descriptive cross-sectional study was done among 193 antenatal mothers in rural hospital, Murud. A study was done between July 2018 to August 2018. A pretested questionnaire was used to assess knowledge about GDM among all antenatal mothers.Results: Among the participants, 48.19% were in the age group 21-25 years and 90.15% antenatal mothers were literate. 80% heard about diabetes mellitus and 38% mothers knows that diabetes can occur first time in pregnancy. Only 28.50% mothers heard about GDM from different source of information.Conclusions: The study shows average knowledge about gestational diabetes mellitus among antenatal mother.

Author(s):  
Nikita Shrivastava ◽  
Kanchan Durugkar ◽  
Pallavi Viswanadh ◽  
Himadri Bal

Background: India is the diabetic capital of the world and gestational diabetes mellitus contributes to a significant number of cases. Gestational diabetes mellitus is a common medical complication of pregnancy and may lead to serious consequences. Because of these reasons, it was felt that if there was a biomarker for predicting carbohydrate intolerance in pregnancy, it could help in earlier intervention and mitigate the consequences related to it. Hence, for this purpose, the role of HbA1c was studied as a predictor of gestational diabetes mellitus.Methods: This was a cross sectional study. Five hundred antenatal cases were considered for this study. All antenatal patients before 18 weeks of gestation attending antenatal clinic for the first time were selected and these patients were subjected to HbA1c followed by diabetes in pregnancy study group of India (DIPSI) test between 24-28 weeks and the results were analyzed to find any correlation between the two.Results: The main objective of the present study was to find whether HbA1c can be used as a predictor of gestational diabetes mellitus. In this study out of 500 women screened, 60 women turned out to have gestational diabetes mellitus. When comparing DIPSI positivity with various levels of HbA1c, it was found that maximum number of DIPSI positive patients (93.33%), had raised HbA1c levels.Conclusions: Maximum number of DIPSI positive cases had HbA1c level between 5.5 to 6 and this association was found to be statistically significant and a positive correlation was established between the two.


2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Gisele Seabra ◽  
Cláudia Saunders ◽  
Patrícia de Carvalho Padilha ◽  
Lenita Zajdenverg ◽  
Letícia Barbosa Gabriel da Silva ◽  
...  

Diagnostics ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1011
Author(s):  
Sofia Nevander ◽  
Eva Landberg ◽  
Marie Blomberg ◽  
Bertil Ekman ◽  
Caroline Lilliecreutz

Gestational diabetes mellitus (GDM) is a common complication with negative impacts on mother and child. The primary aim of this study was to examine whether plasma glucose cutoffs for GDM diagnosis based on venous sampling can be replaced by cutoffs based on capillary sampling. A prospective cross-sectional study was performed at an antenatal care clinic including 175 pregnant women undergoing an oral glucose tolerance test (OGTT). Duplicate samples were collected by capillary and venous puncture while fasting and 1 h and 2 h after an OGTT. Both samples were analyzed on Accu-Chek Inform II. The cutoffs for a GDM diagnosis using capillary samples were corrected from 5.1 to 5.3 mmol/L for the fasting sample, from 10.0 to 11.1 mmol/L for the 1 h sample, and from 8.5 to 9.4 mmol/L for the 2-h sample using half of the dataset. Applying these cutoffs to the remaining dataset resulted in a sensitivity, specificity, and accuracy of 85.0%, 95.0%, and 90.3%, respectively, with a positive predictive value (PPV) of 83%, an negative predictive value (NPV) of 96%, and a positive negative likelihood ratio (LHR) of 16.4 using capillary sampling for the GDM diagnosis at fasting and 2-h after. Corrected cutoffs and capillary samples can be used for the diagnosis of GDM with maintained diagnostic accuracy using Accu-Chek Inform II.


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