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Relevant bibliographies by topics / Gestational diabetes

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Academic literature on the topic 'Gestational diabetes'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 March 2023

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Journal articles on the topic "Gestational diabetes"

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Keller, J. D., G. O. Utter, S. L. Dooley, J. P. Minogue, and L. G. Keith. "Northwestern University Twin Study X: Outcome of Twin Gestations Complicated by Gestational Diabetes Mellitus." Acta geneticae medicae et gemellologiae: twin research 40, no. 2 (April 1991): 153–57. http://dx.doi.org/10.1017/s0001566000002580.

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AbstractExisting data concerning the effect of gestational diabetes on perinatal outcome in twin pregnancies is scant. We hypothesized that altered carbohydrate metabolism would worsen perinatal outcome in twin gestation in a manner similar to singleton gestation. Thirteen twin pregnancies complicated by gestational diabetes mellitus were matched by gestational age at delivery to 13 twin pregnancies unaffected by gestational diabetes. Comparing infants of diabetic mothers to infants of control mothers, there was a trend of greater likelihood of respiratory distress syndrome, hyperbilirubinemia, and prolonged neonatal intensive care nursery admissions. Our experience suggests that altered carbohydrate metabolism in multiple gestations increases the potential for neonatal morbidity.

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Tebes, Christine C., Stephen J. Tebes, Kevin Brown, and William Spellacy. "Gestational Diabetes and Multiple Gestations." Obstetrics & Gynecology 107, Supplement (April 2006): 65S. http://dx.doi.org/10.1097/00006250-200604001-00154.

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Chowdhury, Salma, Tanvirul Hasan, Mir Moyeedul Islam, Susmita Nargis, and ABM Moniruddin. "Gestational Diabetes Mellitus." KYAMC Journal 9, no. 2 (September 10, 2018): 81–86. http://dx.doi.org/10.3329/kyamcj.v9i2.38154.

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Diabetes mellitus during pregnancy (i.e., Gestational Diabetes Mellitus or GDM) has definite impact on maternal & fetal health. A woman is diagnosed with gestational diabetes specially when glucose intolerance continues beyond 24-28 weeks of gestation GDM needs to be specially considered, because it may often remain undiagnosed leading to abortion, miscarriage, fetal obesity, intra-uterine growth retardation (IUGR), intrauterine death (IUD) of fetus in addition to maternal morbidities & mortalities. Here we have reviewed in brief about the causes, pathophysiology, complications, risks, diagnosis, management, prevention etc. of GDM.KYAMC Journal Vol. 9, No.-2, July 2018, Page 81-86

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Klein, Katharina, Mariella Mailath-Pokorny, Heinz Leipold, Elisabeth Krampl-Bettelheim, and Christof Worda. "Influence of Gestational Diabetes Mellitus on Weight Discrepancy in Twin Pregnancies." Twin Research and Human Genetics 13, no. 4 (August 1, 2010): 393–97. http://dx.doi.org/10.1375/twin.13.4.393.

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AbstractObjective:To evaluate the influence of gestational diabetes mellitus on weight discrepancy in twin pregnancies.Methods:200 twin pregnancies were included in the study. 157 nondiabetic pregnant women with twin gestations and 43 twin pregnancies with gestational diabetes mellitus (GDM) with viable fetuses born after 24 weeks of gestation were enrolled. Influence of maternal age, body-mass-index at the time of the oral glucose tolerance test, parity, smoking, chorionicity, gestational age at delivery and diagnosis of GDM on weight discrepancy of the twins was evaluated.Results:Mean weight discrepancy of all analyzed twin pregnancies was 285 grams (± 231), relative weight discrepancy was 11.3% (± 8.6). Univariate regression analyses showed that GDM, chorionicity and gestational age at delivery were significantly associated with weight discrepancy. In the multivariate model only diagnosis of GDM was significantly associated with weight discrepancy.Conclusion:Twin pregnancies with insulin requiring gestational diabetes seem to have less birth weight discrepancy than twin pregnancies with normal glucose tolerance.

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Padmasri Devi, P., M. Mahalakshmi, V. Sarojini Devi, M. Kiran Deedi, Ch Ganapathi Swamy, and V. Thoyoja Durga. "Prevalence of Gestational Diabetes Mellitus." Indian Journal of Obstetrics and Gynecology 7, no. 2 (2019): 309–11. http://dx.doi.org/10.21088/ijog.2321.1636.7219.31.

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Stan, Daniela, and Mihai Mitran. "Gestational diabetes." Ginecologia.ro 2, no. 24 (2019): 48. http://dx.doi.org/10.26416/gine.24.2.2019.2379.

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Winter, George F. "Gestational diabetes." British Journal of Midwifery 29, no. 4 (April 2, 2021): 234. http://dx.doi.org/10.12968/bjom.2021.29.4.234.

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Meccariello, Lynne. "Gestational Diabetes." Physician Assistant Clinics 7, no. 3 (July 2022): 521–32. http://dx.doi.org/10.1016/j.cpha.2022.02.009.

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Majeed, Tayyaba, Rabia Adnan, Irum Mubshar, Hamis Mahmood, Kanwal Saba, Sardar Fakhar Imam, Muhammad Al-Fareed Zafar, and Mulazim Hussain Bukhari. "GESTATIONAL DIABETES." Professional Medical Journal 22, no. 10 (October 10, 2015): 1298–303. http://dx.doi.org/10.29309/tpmj/2015.22.10.983.

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Objectives: To compare the efficacy of Metformin with insulin in gestationaldiabetes mellitus in terms of fetomaternal outcome. Study Deign: Randomized clinicaltrial study. Setting: Lady Aitchison Hospital Lahore. Period: January 2014 to March 2015.Methodology: Total 500 pregnant females with GDM were included in the study through nonprobability,consecutive sampling. Patients were divided into 2 equal groups (A: B). Patientsin group A were given tablet metformin 500 mg by oral route and group B was administratedregular injection Insulin by subcutaneous route. Results: The mean age of females was32.14±6.13 years. The mean gestational age was 31.07±3.8 weeks. There were 78 (15.6%)females who had 0 parity, 107 (21.4%) females had parity 1, 175 (35%) females had parity2, 95 (19%) females had parity 3, 33 (6.6%) females had parity 4 and 12 (2.4%) femaleshad parity 5.There were 54 (10.8%) cases had PTB, out of which 12 (4.8%) had PTB withmetformin while 42 (16.8%) had PTB with insulin. There were 115 (23%) neonates requiredNICU admission, out of which 37 (14.8%) neonates with metforminand78 (31.2%) neonateswith insulin. There were 87 (17%) neonates who had neonatal hypoglycemia, out of which23 (9.2%) neonates with metformin and64 (25.6%) neonates with insulin. The difference wassignificant between both groups for all fetal outcomes (P<0.05). Conclusion: The metforminis more effective in preventing adverse fetal and maternal outcome as compared to insulin.

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Anwer, Ashba, Uzma Asif, Muhammad Asif Bhalli, and Midhat Asif. "GESTATIONAL DIABETES." Professional Medical Journal 23, no. 12 (December 10, 2016): 1465–70. http://dx.doi.org/10.29309/tpmj/2016.23.12.1798.

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Objectives: To find the frequency of gestational diabetes in pregnant womenusing 50 grams glucose challenge test. Study design: a descriptive study. Place and duration:Department of Obstetrics and Gynecology, Lady Atchison Hospital, Lahore from August 2012to August 2013. Methodology: Through non-probability convenient sampling, 200 pregnantwomen between 24-28 weeks of gestation were studied. All known diabetic patients wereexcluded from the study. Pulse, BP, weight and height were recorded and Body Mass Index wascalculated. Physical and antenatal examination were done. Patients were given 50 gm glucosedissolved in 200 ml of water without any dietary preparation. Glucose levels were measuredin venous plasma after one hour according to American Diabetic Association protocol. Bloodglucose level more than 140mg/dl was diagnosed as screened positive and less than 140mg/dl screened negative. The data analysis was analysed by SPSS 20. Results: Out of total 200women studied, 28 (14%) had abnormal screening test while 172 (86%) had normal test. Historyof obstetric complications was noted in 10 (5%) women. PIH was noted in 19 (19.5%) andpast history of GDM was present in 14 (8.13%). Mean age of patients screened positive was25.03 ± 2.9 years. Gestational age of positive group ranged between 19 to 32 weeks. Meangestational age was 26.17+3.37 weeks. Among screened positive women, 7 (25%) womenwere primigravida while 21 (75%) women were multigravida. Conclusion: Significant riskfactor associated with GDM include family history of DM, maternal obesity, previous history ofobstetric complications. Failure to recognize and treat the GDM results in maternal and fetalmorbidity and mortality.

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Dissertations / Theses on the topic "Gestational diabetes"

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Opoku, Emeline. "Screening for gestational diabetes mellitus." Thesis, Буковинський державний медичний університет, 2012. http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/1461.

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Rudland, Victoria Louise. "HETEROGENEITY OF GESTATIONAL DIABETES MELLITUS." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/15872.

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Gestational diabetes mellitus (GDM) is a complex, heterogeneous disorder. As the prevalence of GDM increases, it is increasingly important to identify subgroups of women within the GDM umbrella whose pathophysiology and associated pregnancy risk necessitates a different management approach in order to optimise maternal and neonatal outcomes. Glucokinase maturity-onset diabetes of the young (GCK-MODY) and islet autoimmunity are two such clinical entities. Recently, new pregnancy-specific screening criteria (NSC) for GCK-MODY were proposed to identify women with GDM who warrant GCK genetic testing. We tested the NSC and HbA1c in a multiethnic GDM cohort. The prevalence of GCK-MODY in women with GDM was ~1%. The NSC performed well for Anglo-Celtic women, but less well for women from other ethnic backgrounds. Antepartum HbA1c was not higher in those with GCK-MODY. We report the first two cases of antepartum fetal GCK genotyping and demonstrate how knowledge of fetal GCK genotype guides the management of maternal hyperglycaemia. We examined the prevalence, clinical significance and antepartum to post-partum trajectory of glutamic acid decarboxylase autoantibodies (GADA), insulinoma-associated antigen-2 autoantibodies (IA-2A), insulin autoantibodies (IAA) and zinc transporter 8 autoantibodies (ZnT8A) in a multiethnic GDM cohort. 9.9% of women were positive for one islet autoantibody antepartum. No participant had multiple islet autoantibodies. ZnT8A were the most common islet autoantibody. For women with positive GADA, IA-2A or IAA antepartum, islet autoantibody positivity typically persisted post-partum and 20% of women had post-partum glucose levels consistent with diabetes. In contrast, women with positive ZnT8A antepartum typically demonstrated normal ZnT8A titres post-partum and normal post-partum glucose tolerance. ZnT8A may be a marker for islet autoimmunity in a proportion of women with GDM, but the clinical relevance of ZnT8A in GDM needs further research.

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Khin, May Oo. "Metformin in gestational diabetes mellitus." Thesis, University of Warwick, 2015. http://wrap.warwick.ac.uk/77511/.

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Gestational diabetes mellitus (GDM) can affect up to 1 in 5 of pregnancies and is associated with adverse pregnancy outcomes including pre-eclampsia, neonatal hypoglycaemia, large for gestational age, increased adiposity and birth trauma. Good glycaemic control is the key to reduce these outcomes. Diet and lifestyle modification followed by insulin as necessary is the conventional type of management. Metformin is increasingly used in pregancy but with limited evidence, its role in GDM has not been well-established. A systematic review including both randomized and non-randomized controlled studies have been conducted to evaluate the contemporary evidence of metformin in GDM. It is suggested that metformin in GDM could be a useful alternative to insulin and is regarded as the best oral anti-hyperglycaemic agent in GDM management currently. However, almost half of metformin-treated GDM patients required supplementary insulin to achieve target glucose levels (metformin failure). Women with higher metabolic risk factors are likely to develop metformin failure. A clinical cohort of metformin-treated GDM is used to develop the predictive model to identify GDM women who are at risk of metformin failure. It has been found that women identified by new IADPSG and NICE 2015 fasting criteria are highly likely to develop metformin failure. It has also been established a number of algorithm based on various baseline characters of GDM women which will help primary healthcare physicians choose the best medication for GDM management. One of the possible side-effects of metformin includes lowering of serum vitamin B12 levels whereas serum vitamin B12 deficiency during pregnancy which is associated with increased insulin resistance. It is reported that in low vitamin B12 state, offspring’s insulin resistance is found to be higher among women with high folate low B12 state. Hence, in order to fully appreciate the role of vitamin B12 deficiency in metformin failure, it is first necessary to understand the effects of folate in low vitamin B12 condition on pregnancy outcomes in GDM. It has also been found that in normal vitamin B12 GDM women, serum folate levels are negatively associated with plasma glucose levels but not low B12 state. This underlines the fact that in order for folate to have its role, it is important to have normal vitamin B12 levels. Despite increasing use of metformin, it is not yet routine to check vitamin B12 levels before it is given. It is important to understand whether vitamin B12 has a role in metformin action. Thus, the mechanism by which vitamin B12 deficiency might interfere with metformin action was studied. In vitamin B12 deficient hepatocytes, metformin stimulation of AMPK was reduced which was followed by reduced downstream signalling in lipid metabolism. This effects were reversed by vitamin B12 supplementation. Thus, it is concluded that vitamin B12 deficiency could interfere with metformin action and before metformin is given, every GDM woman should be checked for serum vitamin B12 levels and should be supplemented if deficient. Overall, vitamin B12 could play a critical role in GDM management and it is important for every GDM woman to have normal vitamin B12 levels.

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Swan, Wendy Elizabeth. "Diabetes prevention in women with previous gestational diabetes /." Connect to thesis, 2008. http://repository.unimelb.edu.au/10187/5742.

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Alkazemi, Dalal Usamah Zaid. "Modulating factors of serum oxysterol concentrations in daughters from gestational diabetes and non-gestational diabetes." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100757.

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Pregestational and gestational diabetes (GDM) places the mother and her offspring at an increased risk for later development of insulin resistance and type 2 diabetes. Oxidative stress may mediate long-term disturbances in glucose homeostasis associated with type 2 diabetes and the metabolic syndrome. This thesis describes a cross-sectional study examining serum concentrations of free radical generated oxysterols as markers of oxidative stress in a cohort of teenage daughters from pregnancies with and without GDM. Daughters of GDM-pregnancies had a tendency of higher levels of serum oxysterols (7beta-hydroxycholesterol); however, this difference was not statistically significant after adjustment for total cholesterol. Serum oxysterols were significantly correlated with obesity measures such as waist circumference and BMI, which likely accounted for the tendency for higher measures of oxysterol concentrations in the GDM daughters. Oxysterols represent potentially important biomarkers for oxidative stress in adolescent girls as their levels track with the metabolic syndrome risk factors.
Le diabète pré-gestationnel et le diabète de gestation (DG) augmentent le risque dedéveloppement d'une future résistance à l'insuline et de diabète de type 2 autant pourla mère que pour l'enfant. Le stress oxydatif est un facteur potentiel impliqué dans ledéséquilibre du glucose sanguin associé au diabète de type 2 et au syndromemétabolique. La présente thèse est une étude sectionnelle croisée, ayant pour but demesurer des marqueurs du stress oxidatif, notamment la concentration des oxystérolsgénérés par les radicaux libres dans le sérum d'adolescentes, nées de mères ayantprésenté ou non un diabète de gestation. Nos résultats montrent des concentrationsd'oxystérols (7P-hydroxycholesterol) plus élevées dans le sérum de filles issues degestations diabétiques à comparer aux filles de mères n'ayant pas eu de DG.Cependant, la différence entre les deux groupes n'était pas statistiquementsignificative après un ajustement au cholestérol total. La concentration d'oxystérolsétait significativement corrélée aux marqueurs d'obésité, notamment la circonférencede la taille et l'index de masse corporelle, possiblement à l'origine de la tendance desoxystérols à être plus élevés dans le cas des adolescentes issues de gestationsdiabétiques.

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Dornhorst, Anne. "Gestational diabetes : a model of non-insulin dependent diabetes." Thesis, University of Oxford, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334887.

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Elnour, Asim Ahm. "Care of patients with gestational diabetes." Thesis, Queen's University Belfast, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.421005.

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Hatem, Hohamed. "Gestational diabetes : screening, diagnosis and outcome." Thesis, University of Southampton, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.278517.

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Dias, Stephanie Charmaine. "Investigating Molecular Biomarkers During Gestational Diabetes Mellitus." Thesis, University of Pretoria, 2019. http://hdl.handle.net/2263/73566.

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Introduction: Gestational diabetes mellitus (GDM) is a significant public health concern, due to its association with short- and long-term complications in both mothers and offspring. DNA methylation and single nucleotide polymorphisms (SNPs) offer potential to serve as molecular biomarkers, which may lead to improved detection of GDM with positive effects on health outcomes. Aim: The aim of this study was to investigate whether DNA methylation and SNPs are associated with GDM and may offer potential as molecular biomarkers for GDM in South Africa (SA). Methods: This study followed a two-pronged approach. Firstly, literature searches were conducted to collate and synthesise all published articles reporting on the prevalence of GDM in SA, the screening and diagnostic strategies used, and the current status of DNA methylation and SNPs as biomarkers for GDM. Secondly, we conducted experiments to investigate global (n=201), genome-wide (n=24) and gene-specific DNA methylation (n=286) of the adiponectin gene (ADIPOQ) in whole blood of women with and without GDM, using an Enzyme-Linked Immunosorbent Assay, a methylationEPIC BeadChip Array and pyrosequencing, respectively. In addition, genotype and allele frequencies of ADIPOQ rs266729 and rs17300539, and methylenetetrahydrofolate reductase (MTHFR) rs1801133 were determined, using quantitative real-time PCR (n=449) and DNA sequencing for validation. Results: The literature search showed that the prevalence of GDM in SA has increased over the years. Furthermore, it showed that the lack of uniformity in screening and diagnosis between and within countries hamper the accurate detection of GDM. Lastly, the literature search identified several studies that support the use of DNA methylation and SNPs as potential biomarkers for GDM. Experimentally, we showed no differences in global DNA methylation between GDM and non-GDM groups. Interestingly, global DNA methylation levels were 18% (p=0.012) higher in obese compared to non-obese pregnant women. Genome-wide methylation analysis identified 1046 differentially methylated CpG sites (associated with 939 genes) (Cut-off threshold: M>0.06 and p<0.01). Among the top five CpG sites identified, one CpG mapped to the calmodulin-binding transcription activator 1 (CAMTA1) gene, which has been shown to regulate insulin production and secretion. Two CpG sites (-3410: p=0.048 and -3400: p=0.004) in the ADIPOQ promoter were hypomethylated during GDM in HIV negative, but not in HIV positive women. Lastly, no association between the ADIPOQ and MTHFR polymorphisms and GDM was observed in our population. Conclusion: To our knowledge, this is the first study to investigate the association between DNA methylation or ADIPOQ (rs266729 and rs17300539) and MTHFR (rs1801133) polymorphisms and GDM in SA. Findings suggest that gene-specific, but not global methylation nor SNPs rs266729, rs17300539 and rs1801133, may offer potential as molecular biomarkers of GDM in this population. Future longitudinal studies in larger samples that include both HIV negative and positive pregnant women are warranted to explore the candidacy of DNA methylation as molecular biomarkers for GDM.
Thesis (PhD)--University of Pretoria, 2019.
National Research Foundation (NRF) of South Africa, Thuthuka Grant (unique grant no. 99391).
South African Medical Research Council (SAMRC)
Obstetrics and Gynaecology
PhD
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Getachew, Haregewein. "Characterstics of California women who report gestational diabetes." Thesis, California State University, Long Beach, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1523060.

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The aim of this thesis is to explore racial groups that are affected by gestational diabetes mellitus in the state of California. Hypothesis of the study to be tested are: 1. Women of minority race background are more likely than majority white women to report having gestational diabetes. 2. Women with lower household incomes, irrespective of race are more likely to report having gestational diabetes. Statistical analysis was conducted using SPSS 20 (statistical package for the social sciences). Descriptive analysis was used to examine the relationship between different race groups and their socioeconomic status. A One-Way ANOVA test was conducted to show the significance of low household income and gestational diabetes. The outcomes of this study indicate that gestational diabetes mellitus does exist within the subsamples of women who have lower socioeconomic status and are members of minority race groups.

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Books on the topic "Gestational diabetes"

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Weiss, Peter A. M., and Donald R. Coustan, eds. Gestational Diabetes. Vienna: Springer Vienna, 1988. http://dx.doi.org/10.1007/978-3-7091-8925-2.

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Weiss, Peter A. M., 1934- and Coustan Donald R, eds. Gestational diabetes. Wien: Springer-Verlag, 1988.

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Association, American Diabetes, ed. Gestational diabetes: What to expect. 3rd ed. Alexandria, Va: American Diabetes Association, 1997.

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Diabetes in pregnancy. Philadelphia: W.B. Saunders Co., 1996.

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Kim, Catherine, and Assiamira Ferrara, eds. Gestational Diabetes During and After Pregnancy. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-120-0.

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Eunice Kennedy Shriver National Institute of Child Health and Human Development (U.S.). Am I at risk for gestational diabetes? Rockville, MD: U.S. Department of Health and Human Services, National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 2012.

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National Institute of Child Health and Human Development (U.S.), ed. Am I at risk for gestational diabetes? Rockville, MD: U.S. Dept. of Health and Human Services, National Institutes of Health, National Institute of Child Health and Human Development, 2005.

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What I need to know about gestational diabetes. Bethesda, MD: Department of Health & Human Services, National Institute of Diabetes and Digestive and Kidney Diseases, National Diabetes Information Clearinghouse, 2013.

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What I need to know about gestational diabetes. Bethesda, MD: U.S. Dept. of Health and Human Services, National Institutes of Health, National Diabetes Information Clearinghouse, 2006.

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National Institute of Child Health and Human Development (U.S.), ed. Are you at risk for gestational diabetes? [Bethesda, Md.]: National Institute of Child Health and Human Development, 2000.

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Book chapters on the topic "Gestational diabetes"

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Goldman, J. A., D. Dicker, D. Feldberg, A. Yeshaya, and M. Karp. "Preconceptional Diabetes Counseling in Gestational Diabetes." In Gestational Diabetes, 129–33. Vienna: Springer Vienna, 1988. http://dx.doi.org/10.1007/978-3-7091-8925-2_11.

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Weiss, P. A. M. "Gestational Diabetes: A Survey and the Graz Approach to Diagnosis and Therapy." In Gestational Diabetes, 1–55. Vienna: Springer Vienna, 1988. http://dx.doi.org/10.1007/978-3-7091-8925-2_1.

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Lupo, Virginia R., and S. J. Stys. "Recurrence of Gestational Diabetes in Subsequent Pregnancies." In Gestational Diabetes, 123–26. Vienna: Springer Vienna, 1988. http://dx.doi.org/10.1007/978-3-7091-8925-2_10.

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Coustan, D. R. "The Use of Prophylactic Insulin in Women with Gestational Diabetes." In Gestational Diabetes, 134–41. Vienna: Springer Vienna, 1988. http://dx.doi.org/10.1007/978-3-7091-8925-2_12.

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Hofmann, H. M. H., P. A. M. Weiss, and F. Kainer. "Insulin Treatment of Gestational Diabetes. The Basal Bolus Concept." In Gestational Diabetes, 142–49. Vienna: Springer Vienna, 1988. http://dx.doi.org/10.1007/978-3-7091-8925-2_13.

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Van Assche, F. A., L. Aerts, and J. Verhaeghe. "Fetal Consequences of Maternal Diabetes." In Gestational Diabetes, 153–59. Vienna: Springer Vienna, 1988. http://dx.doi.org/10.1007/978-3-7091-8925-2_14.

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Kitzmiller, J. L., L. A. Hoedt, E. P. Gunderson, T. S. Theiss, C. L. Ceresa, and A. M. Kitzmiller. "Macrosomia and Birth Trauma in Infants of Diet Treated Gestational Diabetic Women." In Gestational Diabetes, 160–66. Vienna: Springer Vienna, 1988. http://dx.doi.org/10.1007/978-3-7091-8925-2_15.

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Doménech, P., X. Pastor, O. Cruz, F. Botet, R. Jiménez, and J. L. Aguilar. "Fetal Hemoglobin in the Infant of Gestational Diabetic Mothers (IGDM)." In Gestational Diabetes, 167–70. Vienna: Springer Vienna, 1988. http://dx.doi.org/10.1007/978-3-7091-8925-2_16.

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Pastor, X., P. Doménech, J. M. Jorba, A. Martinez-Gutierrez, J. Figueras, R. Jiménez, and R. Casamitjana. "Somatometric Study in the Infant of Gestational Diabetic Mother." In Gestational Diabetes, 171–75. Vienna: Springer Vienna, 1988. http://dx.doi.org/10.1007/978-3-7091-8925-2_17.

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Steldinger, R., B. Weber, J. Kneer, and H. Hättig. "The Impact of Diet-induced Ketosis During Pregnancy on the Offspring." In Gestational Diabetes, 176–81. Vienna: Springer Vienna, 1988. http://dx.doi.org/10.1007/978-3-7091-8925-2_18.

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Conference papers on the topic "Gestational diabetes"

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Sitorukmi, Galuh, Bhisma Murti, and Yulia Lanti Retno Dewi. "Effect of Family History with Diabetes Mellitus on the Risk of Gestational Diabetes Mellitus: A Meta-Analysis." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.05.55.

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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: galuh.sitorukmi1210@gmail.com. Mobile: 085799333013. DOI: https://doi.org/10.26911/the7thicph.05.55

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Ammutammima, Ummu Fatihah, Didik Gunawan Tamtomo, and Bhisma Murti. "Family History with Diabetes Mellitus and the Gestational Diabetes Mellitus: Meta-Analysis." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.05.54.

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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: ummuftha64@gmail.com. Mobile: 081717252573. DOI: https://doi.org/10.26911/the7thicph.05.54

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TAVARES, Lívia Hygino, and Bruno MOURA. "DIABETES IN PREGNANCY AND FETAL CARDIAC RISK: LITERATURE REVIEW." In SOUTHERN BRAZILIAN JOURNAL OF CHEMISTRY 2021 INTERNATIONAL VIRTUAL CONFERENCE. DR. D. SCIENTIFIC CONSULTING, 2022. http://dx.doi.org/10.48141/sbjchem.21scon.45_abstract_tavares.pdf.

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Gestational diabetes mellitus (MGD) is associated with poor cardiac malformation in the fetus. It is related to changes in the clinical course of the disease and pre-gestational periods. The prevalence and incidence of MGD have been increasing worldwide. Early screening, diagnosis, and lifestyle change, such as physical exercise and healthy eating, provide better outcomes for children's health. This study aims to analyze the data concerning gestational diabetes and fetal malformations and to group the various protocols for diagnosis, highlighting the risk factors associated with MGD and their prevention. A systematic review of the literature was conducted with the PubMed, Scielo, Medline databases with English, Portuguese, and Spanish articles. The studies gathered clinical trials, randomized clinical trials, and original articles. In 12 articles analyzed maternal alterations, while 11 articles analyzed fetal alterations, and 9 articles analyzed how to diagnose cardiac changes in the fetus. The patient with MGD should be inserted in multidisciplinary activities seeking the change of lifestyle, physical exercises, and food reeducation, intending to give the fetus the appropriate nutrients and optimize the drug treatment; cardiac malformations are among the most severe and recurrent complications. However, they can be avoided with the control of pre-gestational diabetes (stricter follow-up from the moment the patient feels the desire to become pregnant) and the diagnosis and treatment of early gestational diabetes, as strict control of maternal blood glucose during pregnancy reduces morbidities and mortality. The study showed that hyperglycemic status during pregnancy is related to increased mortality and morbidity, even if it is asymptomatic. Therefore, it is necessary to guide the diabetic woman to plan her pregnancy in a euglycemic period because only this control can guarantee health to the fetus. The diagnosis of pregnant women with gestational diabetes needs to be early to optimize treatment.

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Zafar, B., M. H. Sarwar, I. Sadiq, and A. R. Cheema. "Euglycemic Diabetic Ketoacidosis in a Patient with Gestational Diabetes." In American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a5177.

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Stepan, J., T. Ebert, S. Maier, C. Fazelnia, H. Jaksch-Bogensperger, and N. Gassen. "Autophagic Flux in Gestational Diabetes Mellitus." In 30. Kongress der Deutschen Gesellschaft für Perinatale Medizin – „Wandel als Herausforderung“. Georg Thieme Verlag, 2021. http://dx.doi.org/10.1055/s-0041-1739752.

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Raio, N., S. Amylidi-Mohr, B. Mosimann, D. Surbek, M. Fiedler, C. Stettler, and L. Raio. "The Bernese Gestational Diabetes (GDM) Project: Postpartum Oral Glucose Tolerance Test (OGTT) in women after gestational diabetes." In 62. Kongress der Deutschen Gesellschaft für Gynäkologie und Geburtshilfe – DGGG'18. Georg Thieme Verlag KG, 2018. http://dx.doi.org/10.1055/s-0038-1671116.

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Hou, Fan, ZhiXiang Cheng, LuoYao Kang, and Wen Zheng. "Prediction of Gestational Diabetes Based on LightGBM." In CAIH2020: 2020 Conference on Artificial Intelligence and Healthcare. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3433996.3434025.

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Munir, Sadia. "Understanding Susceptibility Gene Loci Of Gestational Diabetes Mellitus." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2014. http://dx.doi.org/10.5339/qfarc.2014.hbpp1012.

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Maskalova, Erika. "DIETARY HABITS AMONG WOMEN AFTER GESTATIONAL DIABETES MELLITUS." In SGEM 2014 Scientific SubConference on PSYCHOLOGY AND PSYCHIATRY, SOCIOLOGY AND HEALTHCARE, EDUCATION. Stef92 Technology, 2014. http://dx.doi.org/10.5593/sgemsocial2014/b12/s2.030.

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Thirunavukarasu, Sharmaine, Faiza Ansari, Richard Cubbon, Karen Forbes, Amrit Chowdhary, Nicholas Jex, Sindhoora Kotha, et al. "137 Gestational diabetes, preeclampsia and the maternal heart." In British Cardiovascular Society Annual Conference, ‘100 years of Cardiology’, 6–8 June 2022. BMJ Publishing Group Ltd and British Cardiovascular Society, 2022. http://dx.doi.org/10.1136/heartjnl-2022-bcs.137.

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Reports on the topic "Gestational diabetes"

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Zhu, Jing, Xiaohong Jiang, Kaiming Luo, Xiaolin Huang, and Fei Hua. Association between Lipocalin-2 levels and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2021. http://dx.doi.org/10.37766/inplasy2021.9.0097.

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Raghavan, Ramkripa, Carol Dreibelbis, Brittany Kingshipp, Yat Ping Wong, Nancy Terry, Barbara Abrams, Anne Bartholomew, et al. Dietary Patterns before and during Pregnancy and Risk of Gestational Diabetes Mellitus: A Systematic Review. U.S. Department of Agriculture, Food and Nutrition Service, Center for Nutrition Policy and Promotion, Nutrition Evidence Systematic Review, April 2019. http://dx.doi.org/10.52570/nesr.pb242018.sr0102.

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Ren, Zhonglian, Yanqin Li, Jiaying Yuan, and Ya Luo. The correlation between air pollution, fine particulate matter (PM2.5) exposure and gestational diabetes: A meta-analysis and systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2022. http://dx.doi.org/10.37766/inplasy2022.9.0123.

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Shi, Jinping, Feng L, Liting X, Jing L, and Xing L. Meta analysis of efficacy and safety of insulin aspart and biosynthetic human insulin in the treatment of gestational diabetes mellitus. Xi'an International Medical Center Hospital, July 2021. http://dx.doi.org/10.37766/inplasy2021.7.0047.

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Gao, Ming, Shu Cao, Ninghua Li, Jinnan Liu, Jing Li, and Xilin Yang. Risks of Overweight in the Offspring of Women with Gestational Diabetes at Different Developmental Stages: A Meta-Analysis with More Than Half a Million Offspring. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0091.

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Viswanathan, Meera, Jennifer Cook Middleton, Alison Stuebe, Nancy Berkman, Alison N. Goulding, Skyler McLaurin-Jiang, Andrea B. Dotson, et al. Maternal, Fetal, and Child Outcomes of Mental Health Treatments in Women: A Systematic Review of Perinatal Pharmacologic Interventions. Agency for Healthcare Research and Quality (AHRQ), April 2021. http://dx.doi.org/10.23970/ahrqepccer236.

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Background. Untreated maternal mental health disorders can have devastating sequelae for the mother and child. For women who are currently or planning to become pregnant or are breastfeeding, a critical question is whether the benefits of treating psychiatric illness with pharmacologic interventions outweigh the harms for mother and child. Methods. We conducted a systematic review to assess the benefits and harms of pharmacologic interventions compared with placebo, no treatment, or other pharmacologic interventions for pregnant and postpartum women with mental health disorders. We searched four databases and other sources for evidence available from inception through June 5, 2020 and surveilled the literature through March 2, 2021; dually screened the results; and analyzed eligible studies. We included studies of pregnant, postpartum, or reproductive-age women with a new or preexisting diagnosis of a mental health disorder treated with pharmacotherapy; we excluded psychotherapy. Eligible comparators included women with the disorder but no pharmacotherapy or women who discontinued the pharmacotherapy before pregnancy. Results. A total of 164 studies (168 articles) met eligibility criteria. Brexanolone for depression onset in the third trimester or in the postpartum period probably improves depressive symptoms at 30 days (least square mean difference in the Hamilton Rating Scale for Depression, -2.6; p=0.02; N=209) when compared with placebo. Sertraline for postpartum depression may improve response (calculated relative risk [RR], 2.24; 95% confidence interval [CI], 0.95 to 5.24; N=36), remission (calculated RR, 2.51; 95% CI, 0.94 to 6.70; N=36), and depressive symptoms (p-values ranging from 0.01 to 0.05) when compared with placebo. Discontinuing use of mood stabilizers during pregnancy may increase recurrence (adjusted hazard ratio [AHR], 2.2; 95% CI, 1.2 to 4.2; N=89) and reduce time to recurrence of mood disorders (2 vs. 28 weeks, AHR, 12.1; 95% CI, 1.6 to 91; N=26) for bipolar disorder when compared with continued use. Brexanolone for depression onset in the third trimester or in the postpartum period may increase the risk of sedation or somnolence, leading to dose interruption or reduction when compared with placebo (5% vs. 0%). More than 95 percent of studies reporting on harms were observational in design and unable to fully account for confounding. These studies suggested some associations between benzodiazepine exposure before conception and ectopic pregnancy; between specific antidepressants during pregnancy and adverse maternal outcomes such as postpartum hemorrhage, preeclampsia, and spontaneous abortion, and child outcomes such as respiratory issues, low Apgar scores, persistent pulmonary hypertension of the newborn, depression in children, and autism spectrum disorder; between quetiapine or olanzapine and gestational diabetes; and between benzodiazepine and neonatal intensive care admissions. Causality cannot be inferred from these studies. We found insufficient evidence on benefits and harms from comparative effectiveness studies, with one exception: one study suggested a higher risk of overall congenital anomalies (adjusted RR [ARR], 1.85; 95% CI, 1.23 to 2.78; N=2,608) and cardiac anomalies (ARR, 2.25; 95% CI, 1.17 to 4.34; N=2,608) for lithium compared with lamotrigine during first- trimester exposure. Conclusions. Few studies have been conducted in pregnant and postpartum women on the benefits of pharmacotherapy; many studies report on harms but are of low quality. The limited evidence available is consistent with some benefit, and some studies suggested increased adverse events. However, because these studies could not rule out underlying disease severity as the cause of the association, the causal link between the exposure and adverse events is unclear. Patients and clinicians need to make an informed, collaborative decision on treatment choices.

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