scholarly journals Hypocalcaemia, Hypoglycaemia, Macrosomia and Congenital Cryptorchidism in a Male Offspring of a Mother with Overweight and Gestational Diabetes Mellitus

2016 ◽  
Vol 23 (4) ◽  
pp. 353-359
Author(s):  
Alphonsus N. Onyiriuka ◽  
Sandra O. Edorhe
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Male Infant ◽  
Total Serum ◽  
Left Testis ◽  
Family History Of Diabetes ◽  
Total Serum Calcium ◽  
The Right ◽  
Maternal Overweight

AbstractThis paper reports a case of a male infant born to a 32-year-old multiparous mother with overweight (BMI 28.5kg/m2) and gestational diabetes mellitus (GDM). The mother had fasting hyperglycaemia (range 5.7- 6.0mmol/L) noted at 24 weeks of pregnancy and was managed with diet alone. There is no family history of diabetes mellitus and the mother did not have pre-eclampsia. Physical examination of the infant revealed macrosomia (birthweight, 4600g) and bilateral congenital cryptorchidism. The baby suffered severe hypoglycaemia (blood glucose 1.7mmol/L) and hypocalcaemia (total serum calcium 1.03mmol/L), manifesting with seizures. He was successfully managed with 10% dextrose water and calcium gluconate infusion, using standard protocol. His karyotype is 46 XY. The patient was discharged from admission at the age of 10 days and was referred to the paediatric endocrinologist at the tertiary hospital. By 8 weeks of age, the right testis was noticed to have descended into the right scrotum. At the age of 3 months, the left testis was still not palpable either in the inguinal canal or the scrotal sac. The patient was lost to follow up. Conclusion: Diet-treated maternal overweight in association with GDM could potentially increase the risk for hypocalcaemia, hypoglycaemia, macrosomia and congenital cryptorchidism in the offspring, highlighting the need for physicians to assess for the presence of these morbidities in such infants.

scholarly journals THE DEMOGRAPHIC PROFILE OF WOMEN WITH GESTATIONAL DIABETES MELLITUS

2021 ◽  
Vol 5 (11) ◽  
Author(s):  
Priyanka Inaniya ◽  
B S Meena ◽  
Mohan Lal Meena ◽  
Aparna Sharma ◽  
Shalini Rathore
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Family History Of Diabetes ◽  
Demographic Profile ◽  
Medical College ◽  
History Of ◽  
Socio Demographic Factors

Background: The present study aimed to study the demographic profile women with gestational diabetes mellitus Methods: This hospital based cross-sectional study Department of Obstetrics and Gynaecology, SMS Medical College, Jaipur. Results: Mean age of patients was 27.68 ± 4.4 Yrs. Most of the study subjects in GDM group (54.7%) were Hindu. Study subjects in GDM group were almost equally from rural (50.7%).Most of the study subjects in both GDM group (88%) were housewives. Habit of smoking was found in only 6.7% females in GDM group. Habit of alcohol was found in 4% females in GDM group. Family history of diabetes was seen more in females with GDM (17.3%). Conclusion: This study concluded that the socio demographic factors influence the occurrence of GDM. Keywords: GDM, Age, Gravida

scholarly journals A study of the prevalence of gestational diabetes mellitus and its maternal and fetal outcomes in a tertiary care hospital

2017 ◽  
Vol 6 (9) ◽  
pp. 4011 ◽  
Author(s):  
Manisha R. Gandhewar ◽  
Binti R. Bhatiyani ◽  
Priyanka Singh ◽  
Pradip R. Gaikwad
Keyword(s):  
Diabetes Mellitus ◽  
Birth Weight ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Tertiary Care ◽  
Significant Risk ◽  
Care Hospital ◽  
Family History Of Diabetes ◽  
Significant Difference ◽  
History Of

Background: The aim of this study was to study the prevalence of gestational diabetes mellitus (GDM) using Diabetes in Pregnancy Study group India (DIPSI) criteria to diagnose patients with GDM and to study the maternal and neonatal outcomes.Methods: 500 patients attending the antenatal clinic between January 2013 to September 2014 with singleton pregnancies between 24 and 28 weeks of gestation were evaluated by administering 75g glucose in a nonfasting state and diagnosing GDM if the 2-hour plasma glucose was more than 140 mg/ dl. Women with multiple pregnancies, pre-existing diabetes mellitus, cardiac or renal disease were excluded from the study.Results: 31 women were diagnosed with GDM (prevalence 6.2%). The prevalence of risk factors such as age more than 25, obesity, family history of Diabetes Mellitus, history of GDM or birth weight more than 4.5kg in previous pregnancy and history of perinatal loss were associated with a statistically significant risk of developing GDM. Though the incidence of Gestational hypertension, polyhydramnios and postpartum haemorrhage was higher in the GDM group, it did not reach statistical significance. More women in the GDM group were delivered by LSCS. There was no significant difference in the incidence of SGA or preterm delivery in the groups. The mean birth weight in GDM group was higher than in the non GDM group.Conclusions: Early detection helps in preventing both maternal and fetal complications. This method of screening is convenient to women as it does not require them to be fasting.

scholarly journals Single Nucleotide Polymorphisms in CDKAL1 Gene Are Associated with Risk of Gestational Diabetes Mellitus in Chinese Population

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Keke Wang ◽  
Qiong Chen ◽  
Yongliang Feng ◽  
Hailan Yang ◽  
Weiwei Wu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Health Concern ◽  
Nucleotide Polymorphisms ◽  
Family History Of Diabetes ◽  
Gene Level ◽  
Risk Snps ◽  
History Of ◽  
Nested Case Control

Gestational diabetes mellitus (GDM) is a growing public health concern for many reasons, and its etiology remains unclear. Due to the similarity of its pathophysiology with type 2 diabetes (T2DM), we evaluated the relationship between published T2DM susceptibility genes and the risk of GDM. A total of 303 SNPs from genes including IRS1, IGF2BP2, CDKAL1, GCK, TCF7L2, KCNQ1, and KCNJ11 and the risk of GDM were examined in a nested case-control study with 321 GDM cases and 316 controls. The odds ratios (ORs) and their 95% confidence interval (95% CI) were estimated by unconditional logistical regression as a measure of the associations between genotypes and GDM in additive, recessive, dominant, and codominant models adjusting for maternal age, maternal BMI, parity, and family history of diabetes. At the gene level, CDKAL1 was associated with GDM risk. SNPs in the CDKAL1 gene including rs4712527, rs7748720, rs9350276, and rs6938256 were associated with reduced GDM risk. However, SNPs including rs9295478, rs6935599, and rs7747752 were associated with elevated GDM risk. After adjusting for multiple comparisons, rs9295478 and rs6935599 were still significant across the additive, recessive, and codominant models; rs7748720 and rs6938256 were significant in dominant and codominant models; and rs4712527 was only significant in the codominant model. Our study provides evidence for an association between the CDKAL1 gene and risk of GDM. However, its role in the GDM pathogenesis still needs to be verified by further studies.

scholarly journals Gestational diabetes mellitus and obstetric outcomes in a Ghanaian community

2018 ◽  
Vol 8 (1) ◽  
pp. 204
Author(s):  
Ahmed Tijani Bawah ◽  
Robert Amadu Ngala ◽  
Mohammed Mustapha Seini ◽  
Francis Abeku Ussher ◽  
Huseini Alidu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnancy Outcome ◽  
Obstetric Outcomes ◽  
Retrospective Case ◽  
Family History Of Diabetes ◽  
Maternal Characteristics ◽  
History Of ◽  
Control Study

Background: This study was aimed at evaluating effect of Gestational diabetes mellitus (GDM) and maternal characteristics on pregnancy outcomes. GDM has several risk factors including; advanced maternal age, ethnic background, obesity and family history of diabetes mellitus. These pregnancy complications are associated with fetal morbidity and mortality and may lead to macrosomia and shoulder dystocia. Others are stillbirth, miscarriages, preterm and small for gestational age babies.Methods: This was a retrospective case-control study which compared maternal characteristics and pregnancy outcome among pregnant women with and without GDM. Diagnosis of GDM was done in accordance with the American Diabetes Association (ADA) criteria. Weight and height were determined and Body mass index (BMI) calculated. Pregnancy outcome was determined at the end of pregnancy and information on maternal characteristics obtained using questionnaire and patient folders.Results: Those who developed GDM were significantly older (OR=1.772; 95% CI=1.432-2.192; P<0.0001) and had higher BMI (OR=1.637; 95% CI=1.004-1.289; P=0.044) than those who did not. A significant number of those who developed GDM also had stillbirths (OR= 5.188; 95% CI=1.093-24.613; p=0.038) and cesarean deliveries (OR=14.362; 95% CI=3.661-56.335; p= 0.001).Conclusions: Women who develop GDM are more likely to deliver stillborn or macrosmic babies and may require surgical intervention in order to have normal deliveries.

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 Evaluation of fetal cardiac function in maternal gestational diabetes mellitus by speckle tracking echocardiography

2021 ◽  
Author(s):  
Peina Huang ◽  
Youbin Deng ◽  
Ling Feng ◽  
Yiping Gao ◽  
Xueqing Cheng ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Right Ventricle ◽  
Cardiac Function ◽  
Gestational Diabetes Mellitus ◽  
Right Ventricular ◽  
Speckle Tracking ◽  
Speckle Tracking Echocardiography ◽  
Fetal Cardiac Function ◽  
The Right

Abstract The aim of this study was to assess the cardiac function in fetuses of mothers with gestational diabetes mellitus (GDM) by using fetalHQ, a quantitative analysis software for the assessment of fetal cardiac function based on speckle tracking echocardiography. In this prospective cross-sectional study, 49 fetuses exposed to GDM and 50 normal fetuses were enrolled and fetal echocardiography were performed and analyzed. In the GDM group, left ventricular (24 ± 4 vs. 28 ± 4, p < 0.001) and right ventricular global longitudinal strain (23 ± 4 vs. 26 ± 4, p = 0.002) and right ventricular free wall strain (26 ± 6 vs. 29 ± 5, p = 0.006) were significantly lower compared with the control group, whereas there was no significant difference in global spherical index (1.2 ± 0.1 vs. 1.2 ± 0.1, p = 0.425). Additionally, 24-segment transverse fraction shortening of the right ventricle was more impaired than the left and the segments with reduced fraction shortening were mainly located in the mid and apical sections of the right ventricle, and mid section of the left ventricle. In conclusion, fetuses exposed to GDM may have cardiac dysfunction before the onset of cardiac morphologic abnormalities, and the right ventricle is more vulnerable than the left during fetal development.

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.

scholarly journals Urinary Manganese Levels and Risk of Gestational Diabetes Mellitus: A Prospective Cohort Study (P18-078-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Qian Li ◽  
Xi Chen ◽  
Xiaoyi Wang ◽  
Qin Gao ◽  
Li Huang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Cohort Study ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Inductively Coupled Plasma ◽  
Fasting Blood Glucose ◽  
Odds Ratios ◽  
Family History Of Diabetes

Abstract Objectives Studies investigating association between manganese (Mn) and type 2 diabetes (T2D) were controverial and relationship between Mn and gestational diabetes mellitus (GDM) remains unclear. We aimed to explore the association between urinary Mn levels and GDM. Methods The study population included 2093 singleton pregnant women from Tongji Maternal and Child Health Cohort (TMCHC), a prospective cohort study in China. The maternal urine specimens were collected before 20 weeks of gestation and determined by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Odds ratios (ORs) for GDM were compared according to urinary Mn levels in quartiles using logistic regression after adjusting for potential covariates. Stratified analyses and interactive analyses were conducted. Then restricted cubic spline (RCS) regression was applied. Association between urinary Mn levels and glucose levels was assessed by linear regression. Results The medians (interquartile range) (IQR) of urinary gestation and Mn levels were 13.2 (12.2, 15.8) weeks and 0.8 (0.4–1.4) μg/g creatinine (Cr), respectively. A total of 241 (11.5%) participants were diagnosed with GDM. The odds ratios (ORs) and 95% confidence intervals (CIs) of GDM were 1.76 (1.15, 2.71) for the third quartile of urinary Mn levels and 2.00 (1.29, 3.10) for the highest quartile compared with the lowest quartile after adjustment. The adverse effect remained in all the subgroups stratified by age, primigravida, pre-pregnancy BMI, fetal sex, family history of diabetes, BMI at OGTT and physical activity. In RCS, the adverse association was consistently showed. Higher urinary Mn levels were found to be associated with higher fasting blood glucose (FBG) (Ptrend = 0.002) but not post-prandial. Conclusions Our findings suggested a positive association between urinary Mn levels and GDM. Funding Sources This study is supported by the National Program on Basic Research Project of China and the Fundamental Research Funds for the Central Universities. Supporting Tables, Images and/or Graphs

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