scholarly journals A short review of machine learning methods for classifying the outcome of Gestational Diabetes

2019 ◽  
Author(s):  
Shreeya Banerji
Keyword(s):  
Gestational Diabetes ◽  
Classification Tree ◽  
Probit Model ◽  
Short Review ◽  
Misclassification Rate ◽  
Support Vector ◽  
Pima Indians ◽  
High Blood Glucose ◽  
Glucose Levels ◽  
Increased Risk

AbstractDiabetes mellitus is a growing problem, especially in developing countries. People suffering from diabetes have an increased risk of developing a number of serious health problems. Consistently high blood glucose levels can lead to serious diseases affecting the heart and blood vessels, eyes, kidney, etc. In addition, people with diabetes also have a higher risk of developing infections.This paper aims to use suitable data mining and classification techniques which include the Logit model, the Probit model, the Classification tree technique, Artificial Neural Networks, Support Vector Machines, Ridge Regression technique and the Least Absolute Shrinkage and Selection Operator(LASSO) in order to determine the best method which can be used to classify the patients as suffering from gestational diabetes or not. The misclassification rate is calculated for different methods and the method having the least misclassification rate is said to be the most suitable to be applied to the given data, which is the PIMA Indians diabetes dataset.

Influence of glucose levels on clinical outcome after mechanical thrombectomy for large-vessel occlusion: a systematic review and meta-analysis

2021 ◽  
pp. neurintsurg-2021-017771
Author(s):  
Carlos Perez-Vega ◽  
Ricardo A Domingo ◽  
Shashwat Tripathi ◽  
Andres Ramos-Fresnedo ◽  
Samir Kashyap ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Clinical Outcome ◽  
Mechanical Thrombectomy ◽  
Meta Analysis ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion ◽  
High Blood Glucose ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Increased Risk

Mechanical thrombectomy (MT) represents the mainstay of treatment for patients with acute ischemic stroke due to large-vessel occlusion (LVO). Intravenous thrombolysis has been associated with worse clinical outcome in patients presenting with high blood glucose levels at admission; to date the true effect of hyperglycemia in the setting of MT has not been fully elucidated. In this meta-analysis, we analyzed the influence of high blood glucose levels at admission on clinical outcome after MT. Ovid EMBASE, PubMed, Scopus, and Cochrane Library databases were searched from their dates of inception up to March 2021. An initial search identified 2118 articles representing 1235 unique studies. After applying selection criteria, three prospective and five retrospective studies were analyzed, yielding a pooled cohort of 5861 patients (2041 who presented with hyperglycemia, and 3820 who presented with normal blood glucose levels). Patients in the hyperglycemia group were less likely to have a modified Ranking Scale (mRS) score <3 (risk ratio (RR): 0.65; 95% CI 0.59 to 0.72; p<0.0001; I2=13%), and had an increased risk of symptomatic intracranial hemorrhage (sICH) (RR: 2.07; 95% CI 1.65 to 2.60; p<0.0001; I2=0%) and mortality (RR: 1.73; 95% CI 1.57 to 1.91; p<0.0001; I2=0%). Patients who present with hyperglycemia and undergo MT for treatment of LVO have an increased risk of unfavorable clinical outcome, sICH, and mortality. Glucose levels at admission appear to be a prognostic factor in this subset of patients. Further studies should focus on evaluating control of the glucose level at admission as a modifiable risk factor in patients undergoing MT for LVO.

scholarly journals Downregulation of the Netrin-1 Receptor UNC5b Underlies Increased Placental Angiogenesis in Human Gestational Diabetes Mellitus

2019 ◽  
Vol 20 (6) ◽  
pp. 1408 ◽  
Author(s):  
Catalina Prieto ◽  
Bárbara Casas ◽  
Paulina Falcón ◽  
Andrea Villanueva ◽  
Pablo Lois ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Growth Factor ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Molecular Mechanisms ◽  
Umbilical Vein ◽  
Trophic Factors ◽  
High Blood Glucose ◽  
Glucose Levels ◽  
Placental Angiogenesis

Gestational diabetes mellitus (GDM) is a common metabolic disorder, defined by high blood glucose levels during pregnancy, which affects foetal and post-natal development. However, the cellular and molecular mechanisms of this detrimental condition are still poorly understood. A dysregulation in circulating angiogenic trophic factors, due to a dysfunction of the feto-placental unit, has been proposed to underlie GDM. But even the detailed study of canonical pro-angiogenic factors like vascular endothelial growth factor (VEGF) or basic Fibroblast Growth Factor (bFGF) has not been able to fully explain this detrimental condition during pregnancy. Netrins are non-canonical angiogenic ligands produced by the stroma have shown to be important in placental angiogenesis. In order to address the potential role of Netrin signalling in GDM, we tested the effect of Netrin-1, the most investigated member of the family, produced by Wharton’s Jelly Mesenchymal Stem Cells (WJ-MSC), on Human Umbilical Vein Endothelial Cells (HUVEC) angiogenesis. WJ-MSC and HUVEC primary cell cultures from either healthy or GDM pregnancies were exposed to physiological (5 mM) or high (25 mM) d-glucose. Our results reveal that Netrin-1 is secreted by WJ-MSC from healthy and GDM and both expression and secretion of the ligand do not change with distinct experimental glucose conditions. Noteworthy, the expression of its anti-angiogenic receptor UNC5b is reduced in GDM HUVEC compared with its expression in healthy HUVEC, accounting for an increased Netrin-1 signalling in these cells. Consistently, in healthy HUVEC, UNC5b overexpression induces cell retraction of the sprouting phenotype.

scholarly journals A Dietary Pattern with High Sugar Content Is Associated with Cardiometabolic Risk Factors in the Pomak Population

Nutrients ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 3043
Author(s):  
Aliki-Eleni Farmaki ◽  
Nigel W Rayner ◽  
Maria Kafyra ◽  
Angela Matchan ◽  
Kyriaki Ntaoutidou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Sugar Content ◽  
Mountain Range ◽  
High Blood Glucose ◽  
Glucose Levels ◽  
Increased Risk

The present study describes the geographically isolated Pomak population and its particular dietary patterns in relationship to cardiovascular risk factors. We collected a population-based cohort in a cross-sectional study, with detailed anthropometric, biochemical, clinical, and lifestyle parameter information. Dietary patterns were derived through principal component analysis based on a validated food-frequency questionnaire, administered to 1702 adult inhabitants of the Pomak villages on the Rhodope mountain range in Greece. A total of 69.9% of the participants were female with a population mean age of 44.9 years; 67% of the population were overweight or obese with a significantly different prevalence for obesity between men and women (17.5% vs. 37.5%, respectively, p < 0.001). Smoking was more prevalent in men (45.8% vs. 2.2%, p < 0.001), as 97.3% of women had never smoked. Four dietary patterns emerged as characteristic of the population, and were termed “high in sugars”, “quick choices”, “balanced”, and “homemade”. Higher adherence to the “high in sugars” dietary pattern was associated with increased glucose levels (p < 0.001) and increased risk of hypertension (OR (95% CI) 2.61 (1.55, 4.39), p < 0.001) and nominally associated with high blood glucose levels (OR (95% CI) 1.85 (1.11, 3.08), p = 0.018), compared to lower adherence. Overall, we characterize the dietary patterns of the Pomak population and describe associations with cardiovascular risk factors.

scholarly journals Gestational Diabetes Mellitus (GDM): Current concept and a short Review

1970 ◽  
Vol 24 (1) ◽  
pp. 16-20 ◽  
Author(s):  
MT Rahman ◽  
T Tahmin ◽  
S Ferdousi ◽  
SN Bela
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Later Life ◽  
Short Review ◽  
Current Concept ◽  
Increased Risk ◽  
Develop Type

Gestational Diabetes Mellitus (GDM) is a very common and important disease occurring during pregnancy and has detrimental effect on both the mother and the baby. The mother is at increased risk of developing obstetric complications like prolonged labour, prone to develop type 2 diabetes in future and the baby is born with overweight, cause of childhood obesity and later life development of type 2 diabetes. A short review and current concept of GDM is discussed. Key words: GDM, Type 2 diabetes, Obesity, Macrosomia, Complications   doi: 10.3329/bjpath.v24i1.2877 Bangladesh J Pathol 24 (1) : 16-20

scholarly journals Developmental Effects of (Pre-)Gestational Diabetes on Offspring: Systematic Screening Using Omics Approaches

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1991
Author(s):  
Bachuki Shashikadze ◽  
Florian Flenkenthaler ◽  
Jan B. Stöckl ◽  
Libera Valla ◽  
Simone Renner ◽  
...  
Keyword(s):  
Gestational Diabetes ◽  
Biological Fluids ◽  
Later Life ◽  
Maternal Diabetes ◽  
Systematic Screening ◽  
Glucose Levels ◽  
Maternal Metabolism ◽  
Increased Risk ◽  
Underlying Mechanisms ◽  
The Impact

Worldwide, gestational diabetes affects 2–25% of pregnancies. Due to related disturbances of the maternal metabolism during the periconceptional period and pregnancy, children bear an increased risk for future diseases. It is well known that an aberrant intrauterine environment caused by elevated maternal glucose levels is related to elevated risks for increased birth weights and metabolic disorders in later life, such as obesity or type 2 diabetes. The complexity of disturbances induced by maternal diabetes, with multiple underlying mechanisms, makes early diagnosis or prevention a challenging task. Omics technologies allowing holistic quantification of several classes of molecules from biological fluids, cells, or tissues are powerful tools to systematically investigate the effects of maternal diabetes on the offspring in an unbiased manner. Differentially abundant molecules or distinct molecular profiles may serve as diagnostic biomarkers, which may also support the development of preventive and therapeutic strategies. In this review, we summarize key findings from state-of-the-art Omics studies addressing the impact of maternal diabetes on offspring health.

Management of Diabetes in People Undergoing Dental Treatment in Primary Care

2020 ◽  
Vol 9 (2) ◽  
pp. 38-46
Author(s):  
Samina Nayani ◽  
Omar G. Mustafa
Keyword(s):  
Diabetes Mellitus ◽  
Primary Care ◽  
Dental Treatment ◽  
Rapid Progression ◽  
High Blood Glucose ◽  
Glucose Levels ◽  
Dental Management ◽  
Increased Risk ◽  
Patients With Diabetes ◽  
Microvascular And Macrovascular Complications

Diabetes mellitus is a condition resulting from loss of production of insulin, or insufficient production/insulin resistance leading to high blood glucose levels. Management of the condition can be provided in a variety of settings and is tailored to the person’s requirements. The condition has a lifelong, systemic impact due to microvascular and macrovascular complications. Diabetes mellitus has dental implications due to increased risk of infections, poor wound healing, rapid progression of periapical pathology, xerostomia, burning mouth syndrome, and a bidirectional link with periodontal disease. Two clinical cases of patients with diabetes are discussed and their dental management described. Many people with diabetes can be treated in primary care, however, some with suboptimal glycaemic control may require specialist input and liaison with the patient’s diabetes team.

scholarly journals GAMBARAN KADAR GLUKOSA DARAH PUASA PADA IBU HAMIL TRIMESTER II DAN III DI PUSKESMAS I DENPASAR SELATAN

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Dhyana Putri
Keyword(s):  
Blood Glucose ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Venous Blood ◽  
Fasting Blood Glucose ◽  
Sampling Technique ◽  
High Blood Glucose ◽  
Glucose Levels ◽  
Blood Glucose Levels ◽  
Study Results

AbstractBackground Gestational diabetes mellitus (GDM) was a condition of glucose intolerance that occur during pregnancy detected by examining blood glucose levels. Objective This study aims to measure fasting blood glucose levels at the second and third trimesters pregnant women in  Puskesmas I Denpasar Selatan-based on certain characteristics. Methods The type of this study is descriptive and using simple random sampling technique. Samples in this study amounted to 33 women. Blood glucose levels measured by venous blood samples with hexokinase method. Result The study results obtained 28 women (84,85%) in the not risk of GDM category and five women (15,15%) in the risk of GDM category. High blood glucose levels obtained four women (12,12%) in the category 25 years and one women (3,03%) in the category 25, on the characteristics of the gestational age obtain two women (6,06%) in the second trimester and three women (9,09%) in the third trimester, on the characteristics of DM in the family obtained one women (3,03%) with a history of DM.Conclusion  The conclusion of this research obtained fasting blood glucose level in trimester II and III pregnant women at Puskesmas I Denpasar Selatan ranged between 66 - 120 mg/dL. Keywords: blood glucose, pregnant women, gestational diabetes 

scholarly journals Profile of Pregnant Women with Gestational Diabetes Mellitus at Increased Risk for Large for Gestational Age Newborns

2019 ◽  
Vol 41 (05) ◽  
pp. 298-305 ◽  
Author(s):  
Maria da Glória Rodrigues Tavares ◽  
Érika Sales Lopes ◽  
Rosy Anne de Jesus Pereira Araújo Barros ◽  
Rossana Santiago de Sousa Azulay ◽  
Manuel dos Santos Faria
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Gestational Age ◽  
Large For Gestational Age ◽  
High Blood Glucose ◽  
Glucose Levels ◽  
Blood Glucose Levels

Objective Gestational diabetes mellitus (GDM) is associated with a higher risk of perinatal morbidity and mortality, and its main complication is the occurrence of large for gestational age (LGA) newborns. The present study aims to characterize pregnant women with GDM and to identify factors associated with the occurrence of LGA newborns in this population. Methods A cross-sectional study was performed based on medical records of women whose prenatal care and delivery were performed at the Maternal and Child Unit of the Hospital Universitário of the Universidade Federal do Maranhão, state of Maranhão, Brazil. A total of 116 pregnant women diagnosed with GDM were included according to the criteria of the International Association of Diabetes and Pregnancy Study Groups (IADPSG). Results The variables associated with LGA newborns after multivariate analysis were: obesity prior to pregnancy (OR = 11.6; 95% CI: 1.40–95.9), previous macrosomia (OR = 34.7; 95% CI: 4.08–295.3), high blood glucose levels in the 3rd trimester (OR = 2,67; 95% CI: 1.01–7.12) and combined change in the oral glucose tolerance test (OGTT) (fasting + postdextrose) (OR = 3.53; 95% CI: 1.25–14.2) = 1.17–10.6). Otherwise, insufficient weight gain during pregnancy reduced the risk for LGA newborns (OR = 0.04; 95% CI: 0.01–0.32). Conclusion Obesity prior to pregnancy, previous macrosomia, high blood glucose levels in the 3rd trimester, and combined change in the OGTT were independent predictive factors for LGA newborns in pregnant women with GDM.

scholarly journals Association between maternal triglycerides and disturbed glucose metabolism in pregnancy

2021 ◽  
Author(s):  
Daniel Eppel ◽  
Michael Feichtinger ◽  
Tina Lindner ◽  
Grammata Kotzaeridi ◽  
Ingo Rosicky ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Glucose Metabolism ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Early Pregnancy ◽  
Early Gestation ◽  
Glucose Levels ◽  
Increased Risk ◽  
Mean Glucose ◽  
In Pregnancy

Abstract Aims Dyslipidemia in pregnancy is associated with adverse pregnancy outcomes as elevated triglycerides might be considered as a risk factor for hyperglycemia and gestational diabetes. As only a few studies have addressed the association between maternal triglycerides and glucose metabolism, we aimed to explore the pathophysiologic associations of moderate hypertriglyceridemia and maternal glucose metabolism in pregnancy. Methods Sixty-seven pregnant women received a detailed metabolic characterization at 12+0–22+6 weeks of gestation by an extended 2h-75g OGTT (oral glucose tolerance test); with measurements of glucose, insulin and C-peptide at fasting and every 30 min after ingestion and assessment of triglycerides at fasting state. All examinations were repeated at 24+0–27+6 weeks of gestation. Results Elevated triglycerides in early gestation were associated with insulin resistance and β-cell dysfunction. Mean glucose concentrations during the OGTT in early pregnancy were already higher in women with hypertriglyceridemia as compared to women with triglycerides in the normal range. A higher degree of insulin resistance and increased OGTT glucose levels were also observed when metabolic assessments were repeated between 24 and 28 weeks of gestation. Of note, elevated triglycerides at early gestation were associated with development of gestational diabetes by logistic regression (odds ratio: 1.16, 95%CI: 1.03–1.34, p=0.022 for an increase of 10 mg/dl). Conclusions Hypertriglyceridemia at the start of pregnancy is closely related to impaired insulin action and β-cell function. Women with hypertriglyceridemia have higher mean glucose levels in early- and mid-gestation. Pregnant women with elevated triglycerides in early pregnancy are at increased risk of developing gestational diabetes.

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