scholarly journals Prevalence and risk factors of gestational diabetes in Punjab, North India: results from a population screening program

2015 ◽  
Vol 173 (2) ◽  
pp. 257-267 ◽  
Author(s):  
Geeti P Arora ◽  
Richa G Thaman ◽  
Rashmi B Prasad ◽  
Peter Almgren ◽  
Charlotte Brøns ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gestational Diabetes ◽  
Plasma Glucose ◽  
Adult Height ◽  
North India ◽  
World Health ◽  
Urban Habitat ◽  
Oral Glucose ◽  
Who 1999 Criteria ◽  
Independent Risk Factors

ObjectiveThe World Health Organization (WHO) has in 2013 changed the diagnostic criteria for gestational diabetes mellitus (GDM) to acknowledge the putative effect of mildly elevated fasting plasma glucose (FPG) levels on pregnancy outcomes. We aimed to determine the prevalence and risk factors of GDM comparing the previous WHO 1999 criteria to the WHO 2013 criteria in North India.MethodsIn a population-based screening programme, 5100 randomly selected North Indian women were studied using a cross-sectional design with a questionnaire, venous FPG and 2-h capillary plasma glucose (PG) after a 75 g oral glucose tolerance test performed between 24 and 28 weeks of pregnancy.ResultsThe prevalence of GDM was 35% using WHO 2013 criteria vs 9% using WHO 1999 criteria. FPG measurements identified 94% of WHO 2013 GDM cases as opposed to 11% of WHO 1999 GDM cases. In contrast, 2-h PG measurements identified only 13% of WHO 2013 GDM cases compared with 96% of the WHO 1999 GDM cases. Using logistic regression with backward elimination, urban habitat, illiteracy, non-vegetarianism, increased BMI, Hindu religion and low adult height were all independent risk factors of GDM using the 1999 criteria, whereas only urban habitat, low adult height and increased age were independent risk factors of GDM using the 2013 criteria.ConclusionsIntervention studies are needed to justify the WHO 2013 GDM criteria increasing the prevalence four fold to include more than one third of North Indian pregnant women.

scholarly journals The Impact of Risk Factors and More Stringent Diagnostic Criteria of Gestational Diabetes on Outcomes in Central European Women

2008 ◽  
Vol 93 (5) ◽  
pp. 1689-1695 ◽  
Author(s):  
A. Kautzky-Willer ◽  
D. Bancher-Todesca ◽  
R. Weitgasser ◽  
T. Prikoszovich ◽  
H. Steiner ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gestational Diabetes ◽  
Glucose Tolerance ◽  
Tertiary Care ◽  
World Health ◽  
Large For Gestational Age ◽  
Oral Glucose ◽  
Who Criteria ◽  
Prospective Longitudinal ◽  
The Impact

Abstract Objectives: In the face of the ongoing discussion on the criteria for the diagnosis of gestational diabetes (GDM), we aimed to examine whether the criteria of the Fourth International Workshop Conference of GDM (WC) select women and children at risk better than the World Health Organization (WHO) criteria. Design and Setting: This was a prospective longitudinal open study in five tertiary care centers in Austria. Patients and Outcome Measures: The impact of risk factors, different thresholds (WC vs. WHO), and numbers of abnormal glucose values (WC) during the 2-h, 75-g oral glucose tolerance test on fetal/neonatal complications and maternal postpartum glucose tolerance was studied in 1466 pregnant women. Women were treated if at least one value according to the WC (GDM-WC1) was met or exceeded. Results: Forty-six percent of all women had GDM-WC1, whereas 29% had GDM-WHO, and 21% of all women had two or three abnormal values according to WC criteria (GDM-WC2). Eighty-five percent of the GDM-WHO were also identified by GDM-WC1. Previous GDM [odds ratio (OR) 2.9], glucosuria (OR 2.4), preconceptual overweight/obesity (OR 2.3), age 30 yr or older (OR 1.9), and large-for-gestational age (LGA) fetus (OR 1.8) were the best independent predictors of the occurrence of GDM. Previous GDM (OR 4.4) and overweight/obesity (OR 4.0) also independently predicted diabetes postpartum. GDM-WC1 had a higher rate of obstetrical complications (LGA neonates, neonatal hypoglycemia, cesarean sections; P < 0.001) and impaired postpartum glucose tolerance (P < 0.0001) than GDM-WHO. Conclusion: These results suggest the use of more stringent WC criteria for the diagnosis of GDM with the initiation of therapy in case of one fasting or stimulated abnormal glucose value because these criteria detected more LGA neonates with hypoglycemia and mothers with impaired postpartum glucose metabolism than the WHO criteria.

scholarly journals The Clinical Values of Afamin, Triglyceride and PLR in Predicting Risk of Gestational Diabetes During Early Pregnancy

2021 ◽  
Vol 12 ◽  
Author(s):  
Xuechun Wang ◽  
Xiuqiong Zheng ◽  
Jianying Yan ◽  
Rongli Xu ◽  
Mu Xu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Early Pregnancy ◽  
Predictive Value ◽  
Maternal Age ◽  
Multivariate Logistic Regression Analysis ◽  
Oral Glucose ◽  
Aneuploidy Screening ◽  
Independent Risk Factors

ObjectiveTo establish a model to predict gestational diabetes mellitus (GDM) based on the clinical characteristics, early pregnancy (10-12 weeks gestation) peripheral blood routine, and biochemical indicators, and to explore its predictive efficiencies.MethodsData from 607 pregnant women with GDM were compared to the data from 833 pregnant women without GDM admitted to the Obstetrics Department of Fujian Maternity and Child Health Hospital (affiliated to Fujian Medical University) from May 2018 to December 2018 were retrospectively included. The ages of the pregnant women, paternal ages, number of pregnancies, number of deliveries, pre-pregnancy heights/weights, and the calculated body mass indexes (BMI) were recorded. In all participants, 10-12 weeks of pregnancy, afamin concentration, routine blood work, prenatal aneuploidy screening, and biochemical testing were performed. At weeks 24-28 of gestation, patients underwent oral glucose tolerance test (OGTT) for GDM screening.ResultsMultivariate logistic regression analysis showed that maternal age, early pregnancy afamin level, triglycerides, and platelet/lymphocyte ratio (PLR) were independent risk factors for gestational diabetes. The formula for predicting GDM probability was as follows: P = 1/1 + exp( − 6.054 + 0.774 × triglycerides + 0.002 × afamin + 0.155 × age − 0.012 × PLR)]. From the established ROC curve, the area under the curve (AUC) was 0.748, indicating that the model has a good degree of discrimination. When the predictive probability cut-off value was set on 0.358, sensitivity, specificity, positive predictive value, and negative predictive value were 69.2%, 68.3%, 42.5%, and 86.2%, respectively, and the accuracy rate was 70.2%. The Hosmer-Lemeshow test results showed that the goodness of the model fit has a good calibration ability (χ2 = 12.269, df=8, P=0.140).ConclusionsMaternal age, early pregnancy afamin level, triglycerides, and PLR are independent risk factors for gestational diabetes. When combined, the above indicators are helpful for prediction, early diagnosis, and intervention of gestational diabetes.

scholarly journals Risk Factors for Gestational Diabetes Mellitus

2017 ◽  
Vol 5 (1-2) ◽  
pp. 49-53
Author(s):  
Zinat Begum ◽  
Dewan Shahida Banu ◽  
Shaila Sharmeen Shanta ◽  
Shitil Ibna Islam
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Socioeconomic Status ◽  
Family History ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Plasma Glucose ◽  
Oral Glucose ◽  
Family History Of Diabetes ◽  
History Of

Objective: The present study was undertaken to determine the risk factors for Gestational Diabetes Mellitus (GDM) presented at Bangladesh Institute of Research in Diabetes, Endocrine & Metabolic Disorders (BIRDEM). Materials & methods: The present case-control study was conducted at BIRDEM Hospital, Dhaka over a period of 6 months from July to December 2011. A total of 100 pregnant women (20 cases and 80 controls) were consecutively enrolled in the study. Pregnant women who developed diabetes at their 3rd trimester were cases (n = 20), while pregnant women free from diabetes at their 3rd trimester were controls (n = 80). The diagnosis of GDM was made using a two-step approach. Pregnant women were initially screened by measuring the plasma glucose concentrations 1 hour after a 50 gram of oral glucose challenge. A diagnostic oral glucose tolerance test was performed on the subset of women whose plasma glucose concentrations exceded the threshold value for glucose (> 140 mg/dl). Result: The study showed that older patients (≥ 25 years) were predominant in both case and control groups. The groups were almost comparable in terms of socioeconomic status and occupation. The distribution of gestational age was also similar between groups (33.1 ± 6.3 vs. 34.2 ± 3.9 years, p = 0.476). Majority (85%) of the cases had family history of diabetes (p < 0.001). Thirty five percent of cases were nulipara and 65% multipara compared to 51.3% and 48.7% respectively of the control (p = 0.076). No significant difference was observed between the groups in terms of preterm labour and PROM (p = 0.690 and 0.220 respectively). Forty percent of cases had past history of GDM compared to 3.8% of controls (p < 0.001). The fasting plasma glucose and plasma glucose 2 hrs after 75 g of glucose ingestion were significantly higher in pregnant women having GDM than those in normal pregnant women (8.3 ± 3.1 vs. 4.1 ± 0.5 mmol/L, p < 0.001;12.9 ± 4.8 vs. 5.9 ± 1.2 mmol/L, p < 0.001 respectively). Conclusion: The study concluded that none of the sociodemographic characteristics like age, socioeconomic status and occupation was found to be associated with GDM. However, pregnant women with family history of diabetes are at risk of developing GDM significantly more than those without GDM. Multipara tend to develop GDM more frequently than the primipara does. Past incidence of GDM increases the risk of GDM in the subsequent pregnancy. Ibrahim Card Med J 2015; 5 (1&2): 49-53

scholarly journals SAT-012 Screening for Gestational Diabetes Mellitus: Universal or Selective Screening? Screening for Gestational Diabetes Mellitus: Universal or Selective Screening?

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Bolanle Olajumoke Okunowo ◽  
Olufemi A Fasanmade ◽  
Ifedayo A Odeniyi ◽  
Augustine E Ohwovoriole
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Plasma Glucose ◽  
Risk Group ◽  
Oral Glucose ◽  
Selective Screening ◽  
History Of ◽  
The Impact

Abstract Screening for gestational diabetes mellitus: universal or selective screening? Introduction: The presence or absence of risk factors is often employed in screening for Gestational Diabetes Mellitus (GDM). The risk factors for GDM includes previous delivery of macrosomic babies, family history of type 2 diabetes mellitus, previous GDM among others. The impact of selective screening is yet to be fully evaluated in our environment. Objective To determine the impact of selective screening on diagnosis of gestational diabetes mellitus Methods The study was a prospective open cohort study carried out from 1st March to 30th November 2017 at the Lagos University Teaching Hospital (LUTH), Lagos, Nigeria. Ethical approval was obtained from the Health Research Ethics Committee of Lagos University Teaching Hospital (LUTH) before commencement of the study All the pregnant women were categorized into either risk group or control group based on the presence or absence of clinical risk factors for GDM. All participant had 75g Oral Glucose Tolerance test (OGTT) done at 24 to 28 weeks gestation and follow up till delivery. The data obtained were age, risk factors for GDM, fasting plasma glucose, one-hour post glucose load plasma glucose & two-hour post glucose load plasma glucose. The data were presented as mean, standard deviation, percentages & chi square. The p value ≤ 0.05 was considered significant Results Ninety pregnant women were screened for GDM. Forty-four women had risk factors for GDM while 46 were non risk group. Their mean age was 32.6± 5 years. The mean age for the risk & non-risk group were similar. The overall prevalence of GDM using the IADPSG criteria was 23.3%. The percentage of women in the risk group with GDM was 38.6% while those women in the non risk group with GDM was 8.7% which was statistically significant (p value 0.004). Discussion The most commonly identified risk factors for GDM in this study were family history of type 2 diabetes mellitus, history of unexplained miscarriage & previous history of delivery of macrosomic babies. Some women in the non-risk were diagnosed, even though the prevalence was lower than that observed among women with risk factors for GDM. Approximately one in ten women would have been missed if selective screening was employed in this study. Most of the women in the non-risk group who were diagnosed with GDM were managed with medical nutritional therapy while majority of women in the risk group had insulin therapy. Conclusion The findings in our study further supports the idea of universal screening for GDM in order to avoid missed diagnosis. Keywords: gestational diabetes mellitus, Screening, oral glucose tolerance test

scholarly journals The application of 50g oral glucose challenge test in screening for gestational diabetes mellitus in patients attending antenatal care OPD

2017 ◽  
Vol 6 (5) ◽  
pp. 1952
Author(s):  
Disha Andhiwal Rajput ◽  
Jaya Kundan Gedam
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Plasma Glucose ◽  
Gestational Hypertension ◽  
Challenge Test ◽  
Oral Glucose ◽  
Average Risk ◽  
Glucose Challenge Test ◽  
Glucose Challenge

Background: To screen patients at average risk for Gestational Diabetes using 50g Glucose Challenge test, to ascertain the prevalence of Gestational diabetes through further diagnostic testing and to prevent and manage complications. Gestational diabetes mellitus (GDM) is defined as carbohydrate intolerance of variable severity with onset or first recognition during pregnancy. Women with GDM are at risk for maternal and foetal complications, so it is important to screen all the pregnant woman.Methods: This study was conducted in 198 patients between 24 and 28 weeks of gestation, attending the Antenatal clinic. 50g oral glucose is administered irrespective of time of the last meal and plasma glucose is measured one hour later. Patients with plasma glucose levels more than 140 mg/dl were subjected to a 100g oral glucose tolerance test, patients with two or more abnormal reading were labelled as GDM and managed accordingly.Results: Prevalence of GDM in our study was 9.59%. Maternal complications like gestational hypertension, vaginal infections and foetal complications were much higher in GDM patients as compare to non GDM group.Conclusions: GDM is a disease which adversely affects both mother as well as foetus. It is concluded that 50 gm glucose challenge test at 24-28 weeks of gestation with a cut-off value of 140 mg/dl is a reliable screening test for GDM. This test offers the best combination of ease and economy of use and reproducibility in screening for gestational diabetes mellitus in average risk patients.

scholarly journals Incidence and Risk Factors for Severe Dehydration in Hospitalized Children in Ujjain, India

2020 ◽  
Author(s):  
Abhishek Sharma ◽  
Aditya Mathur ◽  
Cecilia Stålsby Lundborg ◽  
Ashish Pathak
Keyword(s):  
Risk Factors ◽  
Tertiary Care ◽  
World Health ◽  
Respiratory Pattern ◽  
Care Hospital ◽  
Severe Dehydration ◽  
Cross Sectional ◽  
Oral Rehydration ◽  
History Of ◽  
Independent Risk Factors

Diarrhoea contributes significantly in the under-five childhood morality and mortality worldwide. This cross-sectional study was carried out in a tertiary care hospital in Ujjain, India from July 2015 to June 2016. Consecutive children aged 1 month to 12 years having &ldquo;some dehydration&rdquo; and &ldquo;dehydration&rdquo; according to World Health Organization classification were eligible to be included in the study. Other signs and symptoms used to assess severe dehydration were capillary refill time, urine output, and abnormal respiratory pattern. A questionnaire was administered to identify risk factors for severe dehydration, which was the primary outcome. Multivariate logistic regression modeling was used to detect independent risk factors for severe dehydration. The study included 332 children, with mean &plusmn; standard deviation age of 25.62 &plusmn; 31.85 months; out of which, 70%(95% confidence interval [CI] 65 to 75) were diagnosed to have severe dehydration. The independent risk factors for severe dehydration were: child not exclusive breast fed in the first six months of life (AOR 5.67, 95%CI 2.51 to 12.78; p&lt;0.001), history of not receiving oral rehydration solution before hospitalization (AOR 1.34, 95%CI 1.01 to 1.78; p=0.038), history of not receiving oral zinc before hospitalization (AOR 2.66, 95%CI 1.68 to 4.21; p&lt;0.001) and living in overcrowded conditions (AOR 5.52, 95%CI 2.19 to 13.93; p&lt;0.001). The study identified many risk factors associated with severe childhood dehydration; many of them are modifiable though known and effective public health interventions.

Sign in / Sign up

Export Citation Format

Share Document