Family History with Diabetes Mellitus and the Gestational Diabetes Mellitus: Meta-Analysis

2020 ◽  
Author(s):  
Ummu Fatihah Ammutammima ◽  
◽  
Didik Gunawan Tamtomo ◽  
Bhisma Murti ◽  
◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Family History ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Meta Analysis ◽  
Public Health Problem ◽  
Major Public Health Problem ◽  
Parental History ◽  
Family History Of Diabetes ◽  
History Of

Background: Gestational diabetes mellitus (GDM) is a major public health problem because of its associated complications during pregnancy. Studies have suggested that women with positive parental history of diabetes may be predisposed to an increased GDM risk. This study aimed to examine the correlation between family history with diabetes mellitus and the gestational diabetes mellitus. Subjects and Method: This was a meta-analysis and systematic review. The study was collected articles from PubMed, Science Direct, and Google Scholar databases, from year 2017 to 2020. Keywords used “gestational diabetes mellitus” OR “GDM” AND “pregnancy induced diabetes” AND “family history of diabetes” AND “crosssectional”. The study subject was pregnant women. Intervention was family history with diabetes mellitus with comparison no family history of diabetes mellitus. The study outcome was gestational diabetes mellitus. The articles were selected by PRISMA flow chart. The quantitative data were analyzed by ReVman 5.3. Results: 7 studies from Kuwait, Ethiopia, Fiji, Malaysia, and China, reported that family history with diabetes mellitus increased the risk of gestational diabetes mellitus (aOR= 1.68; 95% CI= 0.87 to 3.26; p= 0.120). Conclusion: Family history with diabetes mellitus increases the risk of gestational diabetes mellitus. Keywords: gestational diabetes mellitus, pregnancy induced diabetes, family history of diabetes Correspondence: Ummu Fsatihah Ammutammima. Masters Program Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: [email protected]. Mobile: 081717252573. DOI: https://doi.org/10.26911/the7thicph.05.54

Effect of Family History with Diabetes Mellitus on the Risk of Gestational Diabetes Mellitus: A Meta-Analysis

2020 ◽  
Author(s):  
Galuh Sitorukmi ◽  
◽  
Bhisma Murti ◽  
Yulia Lanti Retno Dewi ◽  
◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factor ◽  
Family History ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Meta Analysis ◽  
Cross Sectional ◽  
Family History Of Diabetes ◽  
Chronic Hyperglycemia ◽  
History Of

Background: Gestational diabetes mellitus (GDM) is a serious pregnancy complication, in which women without previously diagnosed diabetes develop chronic hyperglycemia during gestation. Studies have revealed that the family history of diabetes is an important risk factor for the gestational diabetes mellitus. The purpose of this study was to investigate effect of family history with diabetes mellitus on the risk of gestational diabetes mellitus. Subjects and Method: This was meta-analysis and systematic review. The study was conducted by collecting published articles from Pubmed, Google Scholar, Scopus, Science Direct, and Springer Link electronic databases, from year 2010 to 2020. Keywords used risk factor, gestational diabetes mellitus, family history, and cross-sectional. The inclusion criteria were full text, using English language, using cross-sectional study design, and reporting adjusted odds ratio. The study population was pregnant women. Intervention was family history of diabetes mellitus with comparison no family history of diabetes mellitus. The study outcome was gestational diabetes mellitus. The collected articles were selected by PRISMA flow chart. The quantitative data were analyzed by random effect model using Revman 5.3. Results: 7 studies from Ethiopia, Malaysia, Philippines, Peru, Australia, and Tanzania were selected for this study. This study reported that family history of diabetes mellitus increased the risk of gestational diabetes mellitus 2.91 times than without family history (aOR= 2.91; 95% CI= 2.08 to 4.08; p<0.001). Conclusion: Family history of diabetes mellitus increases the risk of gestational diabetes mellitus. Keywords: gestational diabetes mellitus, diabetes mellitus, family history Correspondence: Galuh Sitorukmi. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: [email protected]. Mobile: 085799333013. DOI: https://doi.org/10.26911/the7thicph.05.55

scholarly journals Prevalence and cause of gestational diabetes mellitus in a tertiary care center in Kolar district: a population based study

2019 ◽  
Vol 8 (7) ◽  
pp. 2709
Author(s):  
Poojita Tummala ◽  
Munikrishna M. ◽  
Kiranmayee P.
Keyword(s):  
Diabetes Mellitus ◽  
Family History ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Tertiary Care ◽  
Oral Glucose ◽  
Care Hospital ◽  
Family History Of Diabetes ◽  
History Of

Background: Gestational diabetes mellitus (GDM) is carbohydrate intolerance at the onset of pregnancy which induces pathological short term or long term outcomes for both mother and baby. The aim of the present study was to know the prevalence of GDM in pregnant women who were attending the antenatal care (ANC) center at a tertiary care hospital in Kolar, Karnataka, India.Methods: This prospective study was conducted in Department of Obstetrics and Gynecology, Sri Devaraj Urs Medical College, a constituent of Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka, India. The duration of the study was two months. In this study, 108 pregnant women above 24 weeks of gestation were screened for GDM by oral glucose tolerance test. Fasting 2 milli liter blood was collected and were given 75 grams of glucose in 200 milli liters of water and asked to drink within 5 minutes. Again 2 milli liters venous blood was collected after 1 hour and 2 hours from all participants. Plasma sample was used for the estimation of glucose by glucose oxidase and peroxidase (GOD-POD) method.Results: Out of 108, 12 women (11.1%) were diagnosed with GDM. The prevalence rate was higher in the age group of 26-30 years (41.6%).  Among 12 diabetic women, five (47.2%) exercised regularly and seven (58.3%) did not doing exercise. Out of 12 GDM subjects, eight of them had family history of diabetes in first degree relatives; among which one was hypertensive and five were suffering from thyroid problems.Conclusions: In the present study, the prevalence of GDM was found to be 11.1%. Prevalence of GDM might be influenced by increasing age, pre pregnancy weight, family history of diabetes, past history of pregnancy complications, status of literacy and exercise.

scholarly journals Risk Prediction of Gestational Diabetes Mellitus In Women With Polycystic Ovary Syndrome Based On A Nomogram Model

2021 ◽  
Author(s):  
Peilin Ouyang ◽  
You Yiping ◽  
Jia Xiaozhou ◽  
Yang Liqin
Keyword(s):  
Diabetes Mellitus ◽  
Family History ◽  
Gestational Diabetes ◽  
Polycystic Ovary Syndrome ◽  
Gestational Diabetes Mellitus ◽  
Polycystic Ovary ◽  
First Trimester ◽  
Ovary Syndrome ◽  
Family History Of Diabetes ◽  
History Of

Abstract Women with polycystic ovary syndrome are prone to develop gestational diabetes mellitus, a disease which may have significant impact on the postpartum health of both mother and infant. We performed a retrospective cohort study to develop and test a model that could predict gestational diabetes mellitus in the first trimester in women with polycystic ovary syndrome. Our study included 520 pregnant women who were referred to the obstetrics department between December 2017 and March 2020 with a diagnosis of polycystic ovary syndrome. Of these women, 171 were diagnosed with gestational diabetes mellitus in the second trimester. Univariate analysis revealed that in the first trimester, parity, family history of diabetes, age, body mass index (BMI), testosterone, low density lipoprotein cholesterol, triglyceride(TG), total cholesterol(TC), fasting plasma glucose(FPG), Hemoglobin A1c (HbA1C), diastolic blood pressure(DBP)，and insulin levels were predictive factors of gestational diabetes mellitus (P<0.05). Logistic analysis revealed that TG, age, HbA1C, Insulin, TC, BMI and family history of diabetes were independent risk factors for gestational diabetes mellitus. The area under the ROC curve of the gestational diabetes mellitus risk prediction model was 0.917 in this retrospective analysis, demonstrating the great ability to predict. The sensitivity and specificity of the prediction model were 0.814 and 0.871, respectively. The Hosmer–Lemeshow test also showed a good fit to the test.

scholarly journals GESTATIONAL DIABETES MELLITUS

2016 ◽  
Vol 23 (01) ◽  
pp. 015-019
Author(s):  
Afsheen Qazi ◽  
Amin Fahim ◽  
Aneela Qureshi3 ◽  
Mazhar ul Haque
Keyword(s):  
Diabetes Mellitus ◽  
Family History ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Tertiary Care ◽  
Oral Glucose ◽  
Care Hospital ◽  
Family History Of Diabetes ◽  
Number Of Patients ◽  
History Of

Objectives: The present study was designed to find the importance of properscreening and early diagnosis of gestational diabetes mellitus. Study Design: A prospective/descriptive study Place of Study: tertiary care hospital Hyderabad. Duration of Study: fromSeptember 2014 to November 2014. Materials and Methods: A total of 168 pregnant femalesbetween the ages of 20-40 years & in their 24th to 28th week of gestation were enrolled for thestudy. Oral Glucose Tolerance Test of all the participants was done after an overnight fasting of10-12 hours. All the participants were given 75gm of glucose per 100 ml of distilled water. Theblood samples were collected after two hours time for serum glucose levels. Results: Mostof the participants were below 26 years of age 47(27.9%) with the mean age of 30.2±5.83years. However the highest prevalence of GDM was observed in age group 31-35 years (36%).Among the 25 cases of gestational diabetes mellitus the highest number of patients with GDMwere multipara (40%) followed by parity of 3-4 gravida (32%). Twenty seven women (16%)women had family history of diabetes mellitus. Among these 12/27 (44.4%) women were foundwith GDM, compared to 15/141 (10.6%) who have no family history of diabetes mellitus. Total14 (8.33%) women were found obese, out of these 8 (57%) women had GDM while only 6(42.8%) women had no GDM. Conclusion: The prevalence of GDM in the present study isfound to be 14.8%. A prevalence of GDM was higher in the elderly multiparous females whowere overweight and had family history of diabetes mellitus.

Study the Effect of Maternal Factors on Prevalence of Gestational Diabetes Mellitus and Effect of Treatment Types on Serum Blood Glucose

2021 ◽  
pp. 5264-5269
Author(s):  
Shaymaa Hasan Abbas ◽  
Sura Abbas Khdair
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Blood Glucose ◽  
Family History ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Blood Glucose Level ◽  
Family History Of Diabetes ◽  
Treatment Groups ◽  
History Of

Introduction: Gestational diabetes mellitus (GDM) is one of the most common medical problems occurred during pregnancy. GDM increase the chance for developing type 2 diabetes meletus by seven times. The overall prevalence of GDM in pregnancy is 1-14% according to the American Diabetes Association. Material and Methods: a self-administered questionnaire was used to collect data. The information was collected from pregnant women with gestational DM to assess some maternal risk factors and compare blood glucose level according to different treatment types for GDM. Results: The present study reported that (40.38%) of GDM patients have advanced age (≥35 yrs.). First pregnancy was a risk factors for GDM and it was reported by (9.62%). History of HT and GDM during prior pregnancies were reported by (11.54%) and (% 34.62) respectively. Hypertension or preeclampsia in the current pregnancy was reported by (3.85%). Positive family history of diabetes was associated with (26.92%) GDM patients. All Patients of the present study reported no previous PCOS and smoking history. Also in this study, 44 patients out of 52 GDM patients use medications to control the glucose intolerance, while other patients control it by diet. There were no statistical differences found between treatment groups in term of blood glucose control. Conclusion: Age, history of GDM in the previous pregnancies and family history of diabetes mellitus were identifiable as a risk factors for GDM and their effect were significant in this study while the effect of other risk factors were non-significant. No statistical differences found between treatment groups in term of blood glucose level control and no group achieved the glycemic target.

Abstract MP70: Pre-pregnancy Beta Cell Compensation for Insulin Resistance Associated With Subsequent Gestational Diabetes Mellitus: The CARDIA Study

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Erica P Gunderson ◽  
Amy Krefman ◽  
Cora E Lewis ◽  
Janet Catov ◽  
Norrina B Allen
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Family History ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Beta Cell ◽  
Pancreatic Beta Cell ◽  
Family History Of Diabetes ◽  
History Of ◽  
Beta Cell Compensation

Hypothesis: Gestational diabetes mellitus (GDM) is a disorder of glucose metabolism during pregnancy characterized by pancreatic beta cell dysfunction and greater insulin resistance, but it is unclear whether dysfunction exists before pregnancy. The disposition index (DI) is a physiologic measure of beta cell compensation for insulin resistance strongly predictive of future diabetes. This prospective study evaluates whether a clinical approximation of DI before pregnancy is associated with risk of GDM. Methods: This analysis included 696 women (45% black, 55% white) enrolled in the CARDIA Study, a U.S. multi-center prospective cohort of young adults aged 18-30 at baseline (1985-86) who gave birth at least once during 30 years of follow up, reported GDM status and had fasting glucose and insulin measured before one or more post-baseline births. DI was defined as HOMA-B divided by HOMA-IR using standard formulas. Multinomial logistic regression models estimated odds ratios (OR) and 95%CI for GDM among pre-pregnancy DI tertiles (low, moderate, high) and fully adjusted for time to birth, race, age, parity, BMI, lifestyle behaviors and family history of diabetes, and also stratified by pre-pregnancy BMI. Results: 9% of women reported GDM (64/696) for 794 births. 55% of GDM and 30% of non-GDM were categorized as low DI. Low pre-pregnancy DI compared to moderate DI was associated with higher fully adjusted odds of GDM (OR=2.71, 95%CI:1.37-5.35) in the entire sample. In models stratified by pre-pregnancy BMI, low DI was associated with 4-fold higher odds of GDM among Overweight/Obese (OR=4.22, 95%CI: 1.35-13.91) and somewhat attenuated higher odds of GDM among Normal BMI (OR=1.94, 95%CI: 0.78–4.86); Table 1. Only family history of diabetes was strongly associated with GDM independent of DI. Conclusions: Inadequate beta cell compensation is present before pregnancy and discriminates greatest risk of GDM among high BMI, and may identify higher risk among women of normal BMI.

Machine Learning Prediction Models for Gestational Diabetes Mellitus: A meta-analysis (Preprint)

2020 ◽  
Author(s):  
Zheqing Zhang ◽  
Luqian Yang ◽  
Wentao Han ◽  
Yaoyu Wu ◽  
Linhui Zhang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Machine Learning ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Prediction Models ◽  
Meta Analysis ◽  
Risk Of Bias ◽  
Screening Methods ◽  
Family History Of Diabetes ◽  
History Of

BACKGROUND Gestational diabetes mellitus (GDM) is a kind of common endocrine metabolic diseases, including carbohydrate intolerance of variable severity during pregnancy. The incidence rates of GDM related complications and adverse pregnancy outcomes will decline partly due to early screening. Nowadays, machine learning (ML) models have found an increasingly wide utilization, whether for risk factors selection or early prediction of GDM. OBJECTIVE Though many models for pregnancy women have been proposed and verified through experimental studies, few of them have been clinically recognized. Since seldom publication has evaluated the performance of ML prediction models for GDM, this meta-analysis was conducted and put forward some suggestions for model providers, users and policy makers basing on the findings. METHODS Four reliable electronic databases were searched for studies that developing ML prediction models for GDM in the general population, instead of the high-risk groups. The Prediction model Risk of Bias Assessment Tool (PROBAST) was used as a novel tool assessing the risk of bias of ML models. The software program Meta-Disc 1.4 was utilized to perform the Meta-analysis and determination of heterogeneity. To limit the influence of heterogeneity, results of sensitivity analysis, meta-regression and subgroups analysis were provided. RESULTS Twenty-five studies were analyzed which included women older than 18 years without a history of vital disease. The pooled area under receiver operating characteristic curve (AUC) and the pooled sensitivity and specificity for ML to predict GDM was 0.8492, 0.69 (95%CI: 0.68–0.69, P < .001, I2 = 99.6%)and 0.75 (95%CI:0.75–0.75, P < .001, I2 = 100%) respectively. As one of the most employed ML methods, logistic regression (LR) achieved an overall pooled AUC at 0.8151 while non-LR models performed better with an overall polled AUC at 0.8891. Additionally, maternal age, family history of diabetes, BMI and fasting blood glucose were the four mostly used features of models established by various feature selection methods. CONCLUSIONS ML methods could be cost-effective screening methods for GDM. The importance of quality assessment and unified diagnostic criteria should be further emphasized.

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