Association of inflammatory and hemogram parameters to gestational diabetes mellitus: Predictive value for early diagnosis during pregnancy

2019 ◽  
Vol 234 ◽  
pp. e61
Author(s):  
Rendy Pratama ◽  
Ruth Judith Cristobal
Keyword(s):  
Diabetes Mellitus ◽  
Early Diagnosis ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Predictive Value

scholarly journals Comparison of Venous and Capillary Sampling in Oral Glucose Testing for the Diagnosis of Gestational Diabetes Mellitus: A Diagnostic Accuracy Cross-Sectional Study Using Accu-Chek Inform II

Diagnostics ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1011
Author(s):  
Sofia Nevander ◽  
Eva Landberg ◽  
Marie Blomberg ◽  
Bertil Ekman ◽  
Caroline Lilliecreutz
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Cross Sectional Study ◽  
Oral Glucose ◽  
Sectional Study ◽  
Cross Sectional ◽  
Capillary Sampling

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.

scholarly journals Nesfatin-1 and Vaspin as Potential Novel Biomarkers for the Prediction and Early Diagnosis of Gestational Diabetes Mellitus

2019 ◽  
Vol 20 (1) ◽  
pp. 159 ◽  
Author(s):  
Radzisław Mierzyński ◽  
Elżbieta Poniedziałek-Czajkowska ◽  
Dominik Dłuski ◽  
Jolanta Patro-Małysza ◽  
Żaneta Kimber-Trojnar ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Early Diagnosis ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Enzyme Linked Immunosorbent Assay ◽  
Control Group ◽  
Medical Complication ◽  
Uncomplicated Pregnancy ◽  
Novel Biomarkers

Gestational diabetes mellitus (GDM) is considered to be one of the most frequent medical complication observed among pregnant women. The role of adipokines in the pathogenesis of GDM remains strictly unknown. Different adipokines have been studied throughout gestation, and they have been proposed as biomarkers of GDM and other pregnancy-related complications; however, there is no biomarker reported for GDM screening at present. The aim of this study was to evaluate serum nesfatin-1 and vaspin levels in GDM and non-GDM women, to characterize the correlation between these adipokines, and to assess the potential role of circulating adipokines in the prediction of risk of gestational diabetes mellitus. Serum concentrations of nesfatin-1 and vaspin were measured in 153 women with GDM, and in 84 patients with uncomplicated pregnancy by enzyme-linked immunosorbent assay (ELISA) kits, according to the manufacturer’s instructions. Circulating levels of nesfatin-1 and vaspin were significantly lower in the GDM group than in the control group. Nesfatin-1 levels were negatively correlated with vaspin levels. The results of this study point out the possible role of nesfatin-1 and vaspin as potential novel biomarkers for the prediction and early diagnosis of GDM. Further studies are necessary to evaluate the influence of nesfatin-1 and vaspin on glucose metabolism in the early stages of GDM.

Early Diagnosis of Gestational Diabetes Mellitus in Patients With Elevated Body Mass Index [300]

2015 ◽  
Vol 125 ◽  
pp. 96S ◽  
Author(s):  
Nirmala B. Upadhyaya ◽  
Suzanne Brown Bryant ◽  
Robert Eric Heidel ◽  
Mark D. Hennessey ◽  
Bobby C. Howard ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Early Diagnosis ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Body Mass ◽  
Elevated Body Mass Index

scholarly journals A study of gestational diabetes mellitus and fetal outcome in a tertiary care center

2020 ◽  
Vol 9 (8) ◽  
pp. 3417
Author(s):  
Aashka M. Mashkaria ◽  
Babulal S. Patel ◽  
Aastha M. Mashkaria ◽  
Akshay C. Shah ◽  
Shashwat K. Jani ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Early Diagnosis ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Care Center ◽  
Tertiary Care ◽  
Tolerance Test ◽  
Fetal Outcome ◽  
Oral Glucose ◽  
Glucose Levels

Background: Modern desk-bound lifestyle and unhealthy dietary changes have brought a rise in the prevalence of obesity and gestational diabetes mellitus (GDM). It is associated with severe hazards to the mother and the baby. It is mandatory that early diagnosis ensues and timely and congruous management is undertaken.Methods: In this observational study, 1250 women were included. A standardized questionnaire was formed and their details were noted. Tests for glucose levels, complete blood picture, urine examination were performed. An oral glucose tolerance test was performed on all the patients. Neonatal outcomes in terms of birth weight and the presence of complications were noted.Results: A total 201 (16.1%) of all women were having gestational diabetes mellitus (GDM). Most mothers were in the 25-30 age group. The majority of the women had a BMI between 26-30. 21.9% of babies were having weight >3.5 kgs. 11.4% of babies were <2.5 kgs. Out of 201 neonates, 90 babies were having complications. Major complications in neonates were macrosomia and respiratory distress. Therefore, early diagnosis, glycemic control, and timely and congruous management are advantageous to both mother and baby.Conclusions: GDM complicating the pregnancy results in a higher prevalence of complications in the mother and the neonate. Therefore, appropriate control of the sugar level in mothers is necessary and it decreases the morbidity and mortality rates in the babies as well as the mothers. 

How Important Is Early Diagnosis and Intense Insulin Therapy in In Vitro Fertilization Pregnancies Complicated by Gestational Diabetes Mellitus?

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1436-P
Author(s):  
PETROS THOMAKOS ◽  
OLGA KEPAPTSOGLOU ◽  
ANASTASIA TROUVA ◽  
CAROL BARETTO ◽  
DIMITRIS TROUVAS ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
In Vitro Fertilization ◽  
Early Diagnosis ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Insulin Therapy ◽  
Vitro Fertilization

Assessment of the Predictive Value of Platelet Parameters in Gestational Diabetes Mellitus: A Comparative Institutional Study

2017 ◽  
Vol 6 (2(Part-1)) ◽  
pp. 288-293
Author(s):  
Kalaivani Amitkumar ◽  
◽  
Anandalakshmi Swaminathan ◽  
Shivasekar Ganapathy ◽  
Varshaa Chithraa ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Predictive Value

scholarly journals Prospective study on sonographic measurement of umbilical cord thickness, foetal fat layer, interventricular septal thickness as predictors of macrosomia in fetus of women with gestational diabetes mellitus

2018 ◽  
Vol 7 (5) ◽  
pp. 1997
Author(s):  
Janani N. ◽  
Vimala D. ◽  
Gayathri N.
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Negative Predictive Value ◽  
Umbilical Cord ◽  
Predictive Value ◽  
Third Trimester ◽  
Exclusion Criteria ◽  
Medical College ◽  
Septal Thickness

Background: The objectives of the study were to evaluate the Prediction of foetal macrosomia based on sonographic measurements of foetal fat layer, Interventricular septal thickness and umbilical cord thickness in Gestational Diabetes Mellitus at term.Methods: After assessment of inclusion and exclusion criteria 100 antenatal women of gestational age more than 37 weeks selected for study in the Department of Obstetrics and Gynaecology of Vinayaka Mission’s Kirupananda variyar medical college and hospital, Salem. Participants underwent a third trimester scan and three extra measurements i.e. Umbilical cord thickness, Interventricular septal thickness and foetal fat layer are measured in addition to the normal examination.Results: In present study umbilical cord thickness had good sensitivity and negative predictive value. Hence, if umbilical cord thickness is less than 90th centile the chance of macrosomia is less, the cut off of foetal fat layer ≥5 mm as predictor of macrosomia had sensitivity of 84.2% and specificity of 86.4% and cut off of Interventricular septal thickness ≥3.9mm as a predictor of macrosomia had sensitivity of 84.2%, specificity of 64.2%, negative predictive value of 95.9%. Thus, interventricular septal thickness and foetal fat layer is a reliable predictor of macrosomia.Conclusions: From this study authors concluded that Umbilical cord thickness, foetal fat layer and Interventricular septal thickness are good predictors of foetal macrosomia. In the assessment of risk of macrosomia in addition to the ultrasonographic measurements the clinical risk factors must be considered.

scholarly journals The joint prediction model of pBMI and eFBG in predicting gestational diabetes mellitus

2019 ◽  
Vol 48 (4) ◽  
pp. 030006051988919
Author(s):  
Ying Pan ◽  
Ji Hu ◽  
Shao Zhong
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Roc Curve ◽  
Predictive Value ◽  
Fasting Blood Glucose ◽  
First Trimester ◽  
Credibility Interval ◽  
Roc Curve Analysis

Objective To explore the predictive value of prepregnancy body mass index (pBMI) and early gestational fasting blood glucose (eFBG) in gestational diabetes mellitus (GDM). Methods This case–control study enrolled pregnant women at 6 to 16 weeks of gestation. The pBMI, eFBG and glycosylated haemoglobin (HbA1c) was recorded in the first trimester of pregnancy. Receiver-operating characteristic (ROC) curve analysis was used to measure the efficacy of factors that predict GDM. Results A total of 2119 pregnant women were enrolled in this study. Of these, 386 were diagnosed with GDM and 1733 did not have GDM. The age (odds ratio [OR] 1.16; 95% confidence interval [CI] 1.13, 1.20), pBMI (OR 1.12; 95% CI 1.07, 1.17) and eFBG (OR 5.37; 95% CI 3.93, 7.34) were independent risk factors for GDM occurrence. The areas under the ROC curve of eFBG, pBMI and eFBG + pBMI were 0.68 (95% credibility interval 0.65, 0.71), 0.66 (95% credibility interval 0.63, 0.69) and 0.71 (95% credibility interval 0.69, 0.74), respectively. The area under the curve of eFBG + pBMI was significantly higher than that of eFBG or pBMI alone. Conclusion The combination of eFBG and pBMI had a high predictive value for GDM.

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