scholarly journals Associations of Arginine with Gestational Diabetes Mellitus in a Follow-Up Study

2020 ◽  
Vol 21 (21) ◽  
pp. 7811
Author(s):  
Izabela Burzynska-Pedziwiatr ◽  
Adrian Jankowski ◽  
Konrad Kowalski ◽  
Przemyslaw Sendys ◽  
Andrzej Zieleniak ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Statistical Significance ◽  
Critical Role ◽  
Area Under The Curve ◽  
Metabolomic Profiling ◽  
Reported Study ◽  
Amino Acid Profiles ◽  
One Year

In the reported study we applied the targeted metabolomic profiling employing high pressure liquid chromatography coupled with triple quadrupole tandem mass spectrometry (HPLC–MS/MS) to understand the pathophysiology of gestational diabetes mellitus (GDM), early identification of women who are at risk of developing GDM, and the differences in recovery postpartum between these women and normoglycemic women. We profiled the peripheral blood from patients during the second trimester of pregnancy and three months, and one year postpartum. In the GDM group Arg, Gln, His, Met, Phe and Ser were downregulated with statistical significance in comparison to normoglycemic (NGT) women. From the analysis of the association of all amino acid profiles of GDM and NGT women, several statistical models predicting diabetic status were formulated and compared with the literature, with the arginine-based model as the most promising of the screened ones (area under the curve (AUC) = 0.749). Our research results have shed light on the critical role of arginine in the development of GDM and may help in precisely distinguishing between GDM and NGT and earlier detection of GDM but also in predicting women with the increased type 2 diabetes mellitus (T2DM) risk.

scholarly journals Prevalence of dual endocrinopathy: hypothyroidism and gestational diabetes mellitus in patients of preeclampsia

2019 ◽  
Vol 8 (12) ◽  
pp. 4700
Author(s):  
Natasha Gupta ◽  
Sudhaa Sharma ◽  
Sunita Jamwal
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Oral Glucose ◽  
Urine Collection ◽  
Oral Glucose Tolerance ◽  
Obstetrics And Gynaecology ◽  
Urine Examination ◽  
One Year ◽  
Serum Tsh

Background: Hypertension associated with proteinuria greater than 0.3g/L in a 24-hour urine collection or 1+ by qualitative urine examination, after 20 weeks of gestation is preeclampsia. The present study was conducted to evaluate prevalence of dual endocrinopathy (hypothyroidism and gestational diabetes mellitus) in patients of preeclampsia.Methods: The observational study was conducted within a period of one year from November 2015 to October 2016 in the Department of Obstetrics and Gynaecology SMGS Hospital, GMC, Jammu. A total of 400 patients of preeclampsia were included in the study and underwent serum TSH and oral glucose tolerance test.Results: In this study 32.5% of the preeclampsia patients (130 out of 400) had hypothyroidism, 15.25% patients (61 out of 400 preeclampsia) had gestational diabetes mellitus, 9.75 % patients of preeclampsia had dual endocrinopathy  (both hypothyroidism and gestational diabetes mellitus).Conclusions: The current study concluded that dual endocrinopathy (both hypothyroidism and gestational diabetes mellitus) has substantially higher prevalence (9.75%) in the patients of preeclampsia.

scholarly journals Prediction of Gestational Diabetes Mellitus by Serum Uric Acid Levels: Prospective Analysis at a Rural Tertiary Care Center

2021 ◽  
Vol 6 (2) ◽  
pp. 283-285
Author(s):  
Deepika Kapil ◽  
Uday Mahajan
Keyword(s):  
Diabetes Mellitus ◽  
Uric Acid ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Serum Uric Acid ◽  
Care Center ◽  
Tertiary Care ◽  
Medical College ◽  
One Year ◽  
Period Of Gestation

Serum uric acid has been recommended to screen gestational diabetes during pregnancy. Objective: Prediction of gestational diabetes by serum uric acid levels at 17-20 weeks. Methods: Eighty pregnant women who reported to the antenatal OPD at 17-20 weeks of period of gestation were enrolled in the study over the period of one year from Jan 2018 to Dec 2018 at Department of Obstetrics & Gynaecology Dr Rajendra Prasad Govt. Medical College, Kangra at Tanda, Himachal Pradesh, India. Results: Out of 8 patients, who developed GDM 4 (50%) had serum uric acid >3.5 mg/dl and 4 (50%) had serum uric levels <3.5 mg/dl. And the sensitivity of serum uric acid was 50% and specificity was 67%. Out of 8 patients, who developed GDM 4 (50%) had serum uric acid >3.5 mg/dl and 4 (50%) had serum uric levels <3.5 mg/dl. And the sensitivity of serum uric acid was 50% and specificity was 67%. Conclusion: Serum uric acid can be used to predict gestational diabetes. Keywords: Serum uric acid, gestational diabetes mellitus.

scholarly journals Cognitive Dysfunction of Pregnant Women with Gestational Diabetes Mellitus in Perinatal Period

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Siriguleng Sana ◽  
Xijin Deng ◽  
Lei Guo ◽  
Xunhong Wang ◽  
Enyou Li
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Cognitive Function ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Cognitive Dysfunction ◽  
Statistical Significance ◽  
Venous Blood ◽  
Perinatal Period

Purpose. To explore whether pregnant women with gestational diabetes mellitus (GDM) had cognitive impairment and assess cognitive function in normal pregnant women. Methods. A total of 75 consecutive women diagnosed with GDM (GDM group), 70 normal pregnant women (NP group) without diabetes and matched for age, and 51 female volunteers (CG group) with the similar age level, normal blood glucose, and nonpregnancy were included in the study. For the assessment of cognitive functions, Montreal Cognitive Assessment (MoCA) was performed. Venous blood samples were collected to measure blood glucose, glycated hemoglobin (HbA1c), methylglyoxal (MGO), beta amyloid (Aβ), and tau protein. Results. The score of MoCA of GDM was lowest, and the score of the NP group was lower than volunteers ( P < 0.05 ). The incidence of cognitive dysfunction increased significantly in the GDM group with statistical significance ( P < 0.05 ). The levels of tau and MGO in the GDM group were significantly less than those in the NP and CG groups, and Aβ in the GDM group was significantly more than that in the NP and CG groups ( P < 0.05 ), but the differences between NP and CG groups were not statistically significant ( P < 0.05 ). Conclusion. The pregnant women with GDM showed a significant decline in cognitive function, and the normal pregnant women also showed a decline in cognitive function which is very light.

scholarly journals Early prediction of gestational diabetes mellitus in the Chinese population via advanced machine learning

2020 ◽  
Author(s):  
Yan-Ting Wu ◽  
Chen-Jie Zhang ◽  
Ben Willem Mol ◽  
Andrew Kawai ◽  
Cheng Li ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Machine Learning ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Chinese Population ◽  
Feature Selection Method ◽  
Area Under The Curve ◽  
First Trimester ◽  
Record System ◽  
Increased Risk

Abstract Context Accurate methods for early gestational diabetes mellitus (GDM) (during the first trimester of pregnancy) prediction in Chinese and other populations are lacking. Objectives Establishing effective models to predict early GDM. Setting Pregnancy data for 73 variables during the first trimester were extracted from the electronic medical record system. Main measures Based on a machine learning (ML) driven feature selection method, 17 variables were selected for early GDM prediction. In order to facilitate clinical application, 7 variables were selected from the 17-variable panel. Advanced ML approaches were then employed using the 7-variable dataset and the 73-variable dataset to build models predicting early GDM for different situations respectively. Results 16,819 and 14,992 cases were included in the training and testing sets, respectively. Using 73 variables, the deep neural network model achieved high discriminative power, with area under the curve (AUC) values of 0.80. The 7-variable logistic regression (LR) model also achieved effective discriminate power (AUC = 0.77). Low BMI (≤ 17) was related to an increased risk of GDM, compared to a BMI in the range of 17 to 18 (minimum risk interval) (11.8% vs 8.7%, P = 0.0935). TT3 and TT4 were superior to FT3 and FT4 in predicting GDM. Lipoprotein (a) was demonstrated a promising predictive value (AUC = 0.66). Conclusions We employed ML models that achieved high accuracy in predicting GDM in early pregnancy. A clinically cost-effective 7-variable LR model was simultaneously developed. The relationship of GDM with thyroxine and BMI was investigated in the Chinese population.

scholarly journals A comparative study of ADA and WHO criteria for screening of gestational diabetes mellitus

2018 ◽  
Vol 7 (3) ◽  
pp. 957
Author(s):  
Jeyamani Baskaran ◽  
Subha Sivagami Sengodan ◽  
Anbarasi Pandian
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Comparative Study ◽  
Blood Sugar ◽  
Universal Screening ◽  
Statistical Significance ◽  
Fasting Blood Glucose ◽  
Fasting Blood Sugar ◽  
Who Criteria

Background: Gestational diabetes mellitus is defined as carbohydrate intolerance with its onset or first recognition during present pregnancy. Objective of present study was to compare screening accuracy of ADA and WHO criteria for screening of gestational DM.Methods: This is a prospective comparative study using ADA and WHO criteria for the screening of GDM. Our objective was to study the implication of implementing the ADA guidelines and WHO guidelines for screening and diagnosis of GDM in 200 antenatal patients at Government Mohankumaramangalam Medical College, Salem during a period of one year from July 2015 to June 2016. All antenatal women attending AN OP between 24-28 weeks of gestation are subjected to fasting blood glucose measurement followed by an oral OGTT using 75 gms of glucose load. Venous blood samples are collected at the end of 1hr and 2hr. The ADA and WHO criteria were applied separately for each subject to diagnose GDMResults: As per ADA criteria presence of any one of either, Fasting blood sugar- 92 mg (5.1 mmol/L),1 hour postprandial-180mg (10.00mmol/L), 2 hour postprandial: 153 mg (8.5 mmol/L) was used for the diagnosis of GDM.As per WHO criteria presence of any one of either, Fasting blood sugar- 126mg/dl (7 mmol/dl) or 2 hour postprandial- 140 mg/dl (7.8 mmol/dl) for diagnosis of GDM. The 2hr value has the statistical significance in the diagnosis of GDM. The 1hr value done in ADA criteria does not have statistical significance when compared to 2hr value.Conclusions: Universal screening for GDM is necessary to diagnose Gestational Diabetes Mellitus. Universal screening may not be feasible in resource poor settings, but it definitely improves the pregnancy outcomes considering the high prevalence of gestational diabetes in India.

scholarly journals A study comparing non-gestational diabetes mellitus and gestational diabetes mellitus in antenatal patients in a tertiary care center

2020 ◽  
Vol 9 (3) ◽  
pp. 1201
Author(s):  
Preeti Sharma ◽  
Neeta Chaudhary ◽  
Suchitra Singh
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Gestational Age ◽  
Perinatal Outcome ◽  
Analytical Study ◽  
Care Center ◽  
Tertiary Care ◽  
Medical College ◽  
One Year

Background: Gestational diabetes mellitus is defined as any glucose intolerance with the onset or first recognition during pregnancy. Objectives of this study were to diagnose cases of GDM by screening with DIPSI criteria at less than 28 weeks. And observation and comparison of maternal and perinatal outcome in women diagnosed of GDM in less than 20 weeks and at 24-28 weeks.Methods: This was the prospective analytical study conducted in the department of obstetrics and gynecology for one year in Muzaffarnagar medical college and Hospital. After history taking, clinical and obstetrics examination 1503 antenatal patients of less than 28 weeks were enrolled underwent screening with DIPSI criteria. Out of which 80 patients with abnormal OGTT of gestational age less than 20 weeks and 69 patients with abnormal OGTT of gestational age 24 -28 weeks.Results: In early diagnosed GDM group alive and healthy babies were slightly lower as compared with late diagnosed GDM group.Conclusions: The diagnosis of GDM gives us an opportunity in identifying individuals who will be benefitted by early therapeutic intervention with diet, exercise, and normalizing the weight to delay or prevent the onset of the disease.

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