scholarly journals Associations of Body Mass Index (Maternal BMI) and Gestational Diabetes Mellitus with Neonatal and Maternal Pregnancy Outcomes in a Multicentre European Database (Diabetes and Pregnancy Vitamin D and Lifestyle Intervention for Gestational Diabetes Mellitus Prevention)

ISRN Obesity ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-4 ◽  
Author(s):  
Akke Vellinga ◽  
A. Zawiejska ◽  
J. Harreiter ◽  
B. Buckley ◽  
G. Di Cianni ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Caesarean Section ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnancy Outcomes ◽  
Perinatal Complications ◽  
Obesity And Diabetes ◽  
Independent Risk Factors ◽  
The Impact

Objective. Assess the impact of Gestational Diabetes Mellitus (GDM) and obesity on neonatal and maternal pregnancy outcomes. Methods. Cross-sectional data (3343 pregnancies) from seven European centres were included in a multilevel analysis of the association between GDM/obesity and caesarean section, macrosomia and neonatal morbidities. Results. Comparison of databases identified reporting differences between countries due to the inclusion of true population based samples or pregnancies from specialised tertiary centres, resulting in higher prevalences of GDM for some countries. The analysis showed that obesity and GDM were independent risk factors of perinatal complications. Only BMI had a dose-dependent effect on the risk of macrosomia and caesarean section. Both obesity (BMI > 30 kg/m2) and GDM were independent risk factors of neonatal morbidities. Conclusions. Obesity and GDM were independent risk factors of perinatal complications. The effect of the worldwide obesity and diabetes epidemic is extending to the next generation.

scholarly journals Risk factor for gestational diabetes mellitus and impact of gestational diabetes mellitus on maternal and fetal health during the antenatal period

2021 ◽  
Author(s):  
Uma Jain ◽  
Kusumlata Singhal ◽  
Shikha Jain ◽  
Deepali Jain
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Congenital Malformation ◽  
Fetal Health ◽  
Antenatal Period ◽  
Study Results ◽  
History Of ◽  
The Impact

Background: Gestational diabetes mellitus (GDM) is defined as any degree of dysglycaemia that occurs for the first time or is first detected during pregnancy. The adverse effects of GDM on pregnant women are pre-eclampsia, PIH, PPH, polyhydramanios, PROM, meanwhile, there would be an increase in dystocia, birth injury, and cesarean sectionMethods: This retrospective study was conducted in a Gynecology clinic in District Shivpuri to find out the various risk factors for GDM and to evaluate the impact of GDM on maternal and fetal health during the antenatal period. 84 patients who were diagnosed with GDM were included in the study. Results: Among risk factors; BMI >25 kg/m2 before pregnancy was found in 15.47% of the case, family history of diabetes mellitus 8.33%, Previous history of macrosomia 17.85%, Poor reproductive history 17.85%, baby with congenital malformation 8.33%, H/o unexplained IUFD 11.90%. H/o polyhydramnios 15.47%. History of PCOS 13.09% and preeclampsia was found in 17.85% of cases. In antenatal complications; miscarriages was found in 15.47%. polyhydramnios in 17.85%. Oligohydramnios in 8.33%, preterm labor in 11.90%, PROM in 9.52%, pre-eclampsia in 17.85%, sudden IUFD in 8.33% and congenital malformation was found in 4.76% of cases. On USG; IUGR was found in 7.14% of cases. Large for date fetus in 16.66% of cases and the normal growth was found in 76.19% of cases.Conclusions- In conclusion appropriate and timely diagnosis and treatment of GDM will result in decreased maternal and neonatal adverse outcomes comparable to general population rates, therefore, early diagnosis is important.

scholarly journals Impact of the Implementation of New WHO Diagnostic Criteria for Gestational Diabetes Mellitus on Prevalence and Perinatal Outcomes: A Population-Based Study

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Katja Erjavec ◽  
Tamara Poljičanin ◽  
Ratko Matijević
Keyword(s):  
Diabetes Mellitus ◽  
Caesarean Section ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Diagnostic Criteria ◽  
Apgar Score ◽  
Perinatal Outcomes ◽  
Labor Induction ◽  
Increased Risk ◽  
The Impact

Objectives. To determine the impact of the implementation of new WHO diagnostic criteria for gestational diabetes mellitus (GDM) on prevalence, predictors, and perinatal outcomes in Croatian population.Methods. A cross-sectional study was performed using data from medical birth certificates collected in 2010 and 2014. Data collected include age, height, and weight before and at the end of pregnancy, while perinatal outcome was assessed by onset of labor, mode of delivery, and Apgar score.Results. A total of 81.748 deliveries and 83.198 newborns were analysed. Prevalence of GDM increased from 2.2% in 2010 to 4.7% in 2014. GDM was a significant predictor of low Apgar score (OR 1.656), labor induction (OR 2.068), and caesarean section (OR 1.567) in 2010, while in 2014 GD was predictive for labor induction (OR 1.715) and caesarean section (OR 1.458) only. Age was predictive for labor induction only in 2014 and for caesarean section in both years, while BMI before pregnancy was predictive for all observed perinatal outcomes in both years.Conclusions. Despite implementation of new guidelines, GDM remains burdened with increased risk of labor induction and caesarean section, but no longer with low Apgar score, while BMI remains an important predictor for all three perinatal outcomes.

scholarly journals Establishment of a nomogram model to predict macrosomia in pregnant women with gestational diabetes mellitus

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yujiao Zou ◽  
Yan Zhang ◽  
Zhenhua Yin ◽  
Lili Wei ◽  
Bohan Lv ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Logistic Regression ◽  
Gestational Diabetes ◽  
Confidence Interval ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
External Validation ◽  
Amniotic Fluid Index ◽  
Independent Risk Factors

Abstract Aim To establish a nomogram model to predict the risk of macrosomia in pregnant women with gestational diabetes mellitus in China. Methods We retrospectively collected the medical records of 783 pregnant women with gestational diabetes who underwent prenatal examinations and delivered at the Affiliated Hospital of Qingdao University from October 2019 to October 2020. The pregnant women were randomly divided into two groups in a 4:1 ratio to generate and validate the model. The independent risk factors for macrosomia in pregnant women with gestational diabetes mellitus were analyzed by multivariate logistic regression, and the nomogram model to predict the risk of macrosomia in pregnant women with gestational diabetes mellitus was established and verified by R software. Results Logistic regression analysis showed that prepregnancy body mass index, weight gain during pregnancy, fasting plasma glucose, triglycerides, biparietal diameter and amniotic fluid index were independent risk factors for macrosomia (P < 0.05). The areas under the ROC curve for internal and external validation of the model were 0.813 (95 % confidence interval 0.754–0.862) and 0.903 (95 % confidence interval 0.588–0.967), respectively. The calibration curve was a straight line with a slope close to 1. Conclusions In this study, we constructed a nomogram model to predict the risk of macrosomia in pregnant women with gestational diabetes mellitus. The model has good discrimination and calibration abilities, which can help clinical healthcare staff accurately predict macrosomia in pregnant women with gestational diabetes mellitus.

scholarly journals Association of Gestational Diabetes Mellitus with Adverse Pregnancy Outcomes and Its Interaction with Maternal Age in Chinese Urban Women

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xueyin Wang ◽  
Xiaosong Zhang ◽  
Min Zhou ◽  
Juan Juan ◽  
Xu Wang
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Preterm Birth ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Cesarean Delivery ◽  
Pregnancy Outcomes ◽  
Maternal Age ◽  
Urban Women ◽  
Adverse Pregnancy

Background. The prevalence of gestational diabetes mellitus (GDM) has been dramatically increasing worldwide. The aims of this study were to examine associations of GDM with pregnancy outcomes in Chinese urban women and to evaluate the interaction between GDM and other major risk factors for the risk of adverse pregnancy outcomes. Methods. A retrospective analysis included 8844 women who delivered live singletons at ≥28 weeks of gestation between June 2012 and March 2013 among Chinese urban women. Structured questionnaires were used to collect information on demographic characteristics, lifestyle behavior, medical history, and pregnancy outcomes. The diagnosis of GDM was made between 24 and 28 gestational weeks according to the International Association of Diabetes and Pregnancy Study Groups criteria. Logistic regression models were used to assess the association of GDM with pregnancy outcomes and to examine the interaction between GDM and other major risk factors including maternal age, prepregnancy body mass index, and gestational weight gain for the risk of pregnancy outcomes. Results. 13.9% of women were diagnosed with GDM. We found that GDM was associated with higher risk of cesarean delivery ( odds   ratio   OR = 1.69 , 95% CI (confidence interval): 1.48-1.92), preterm birth ( OR = 1.32 , 95% CI: 1.07-1.64), macrosomia ( OR = 1.69 , 95% CI: 1.34-2.13), and large for gestational age (LGA, OR = 1.43 , 95% CI: 1.18-1.73) after adjustment for potential confounders. We also observed the interaction between GDM and maternal age for the risk of cesarean delivery ( P   for   interaction = 0.025 ), and the OR of GDM for cesarean delivery was 1.71 (95% CI: 1.49-1.97) among women aged less than 35 years. Conclusions. GDM was associated with an increased risk of cesarean delivery, preterm birth, macrosomia, and LGA in Chinese urban women, and there was an interaction between GDM and maternal age for the risk of cesarean delivery.

scholarly journals Gestational diabetes mellitus: Major risk factors and pregnancy-related outcomes: A cohort study

2021 ◽  
pp. 827-836
Author(s):  
Azam Kouhkan ◽  
Laily Najafi ◽  
Mojtaba Malek ◽  
Hamid Reza Baradaran ◽  
Roya Hosseini ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Cohort Study ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnancy Outcomes ◽  
Previous History ◽  
Family History Of Diabetes ◽  
History Of ◽  
Adverse Pregnancy

Background: Gestational diabetes mellitus (GDM) is a major pregnancy endocrine problem that has several confirmed risk factors and is associated with adverse pregnancy-related outcomes (PRO). Objective: To evaluate the relationship between GDM diagnosis and the associated risk factors of PRO (maternal, intrapartum, perinatal, and neonatal) in accordance with International Association of Diabetes and Pregnancy Study Groups criteria. Materials and Methods: This prospective cohort study was performed with 531 singleton parturient (265 GDM and 266 non-GDM). They were selected consecutively from referral hospitals, and the maternal, intrapartum, perinatal, and neonatal outcomes were assessed. Results: The major risk factors influencing the GDM diagnosis were maternal age, obesity, family history of diabetes, previous history of GDM, and previous history of macrosomia. In the comparison of PRO between the groups, significant associations were detected for emergency cesarean delivery, preeclampsia, polyhydramnios, premature rupture of membrane, preterm delivery, and neonatal hyperbilirubinemia in the GDM group. In the multivariate logistic regression analysis, a previous history of stillbirth was significantly associated with maternal and perinatal outcomes. The odds ratios (CI 95%) of the PRO in the women with a GDM diagnosis were: maternal = 2.43 (1.51-3.90), intrapartum = 2.05 (1.35- 3.11), perinatal = 2.00 (1.29-3.10), and neonatal = 1.68 (1.08-2.62). The PRO was significantly correlated with GDM diagnosis, but not with the risk factors. Conclusion: The adverse pregnancy outcomes were significantly correlated with GDM diagnosis, and the outcomes were not directly affected by the risk factors. Given the related adverse outcomes for mothers and offspring, early screening and management of GDM is necessary especially in Asians and in low-/middle-income countries. Key words: Gestational diabetes mellitus, Pregnancy outcomes, Risk factors.

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