scholarly journals The Association Between High Hemoglobin Levels and Pregnancy Complications, Gestational Diabetes and Hypertension, Among Palestinian Women

Cureus ◽  
2021 ◽  
Author(s):  
Haytham Abumohsen ◽  
Baraa Bustami ◽  
Abeer Almusleh ◽  
Osama Yasin ◽  
Ahmad Farhoud ◽  
...  
Keyword(s):  
Gestational Diabetes ◽  
Pregnancy Complications ◽  
Palestinian Women

scholarly journals Exploring Fetal Sex as a Risk Factor for Sleep Disordered Breathing and Its Complications in Pregnancy

2020 ◽  
Vol 4 ◽  
pp. 247028972094807
Author(s):  
Margaret H. Bublitz ◽  
Myriam Salameh ◽  
Laura Sanapo ◽  
Ghada Bourjeily
Keyword(s):  
Gestational Diabetes ◽  
Pregnancy Complications ◽  
Sleep Disordered Breathing ◽  
Pregnancy Induced Hypertension ◽  
Hypertensive Disorders Of Pregnancy ◽  
Fetal Sex ◽  
Hypertensive Disorders ◽  
Induced Hypertension ◽  
In Pregnancy ◽  
Disordered Breathing

Sleep disordered breathing (SDB) is a common, yet under-recognized and undertreated condition in pregnancy. Sleep disordered breathing is associated with pregnancy complications including preeclampsia, gestational diabetes, preterm birth, as well as severe maternal morbidity and mortality. The identification of risk factors for SDB in pregnancy may improve screening, diagnosis, and treatment of SDB prior to the onset of pregnancy complications. The goal of this study was to determine whether fetal sex increases risk of SDB in pregnancy. A cohort of singleton (N = 991) pregnant women were recruited within 24 to 48 hours of delivery and answered questions regarding SDB symptoms by questionnaire. Women who reported frequent loud snoring at least 3 times a week were considered to have SDB. Hospital records were reviewed to extract information on fetal sex and pregnancy complications including preeclampsia, pregnancy-induced hypertension, gestational diabetes, preterm delivery, and low birth weight. Women carrying male fetuses were significantly more likely to have SDB (β = .37, P = .01, OR: 1.45 [95% CI: 1.09-1.94]). Fetal sex was associated with increased risk of hypertensive disorders of pregnancy (defined as preeclampsia and/or pregnancy-induced hypertension) among women with SDB in pregnancy (β = .41, P = .02, OR: 1.51 [95% CI: 1.08-2.11]). Fetal sex did not increase risk of preterm birth, low birth weight, or gestational diabetes among women with SDB in pregnancy. Women carrying male fetuses were approximately 1.5 times more likely to report SDB in pregnancy compared to women carrying female fetuses, and women with pregnancy-onset SDB carrying male fetuses were 1.5 times more likely to have hypertensive disorders of pregnancy compared to women with SDB carrying female fetuses. Confirmation of fetal sex as a risk factor may, with other risk factors, play a role in identifying women at highest risk of SDB complications in pregnancy.

scholarly journals Prognostic prediction models for pregnancy complications in women with gestational diabetes: a protocol for systematic review, critical appraisal and meta-analysis

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Shamil D. Cooray ◽  
Jacqueline A. Boyle ◽  
Georgia Soldatos ◽  
Lihini A. Wijeyaratne ◽  
Helena J. Teede
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Gestational Diabetes ◽  
Pregnancy Complications ◽  
Prediction Models ◽  
Absolute Risk ◽  
Meta Analysis ◽  
External Validation ◽  
The Absolute ◽  
Prognostic Prediction

Abstract Background Gestational diabetes (GDM) is increasingly common and has significant implications during pregnancy and for the long-term health of the mother and offspring. However, it is a heterogeneous condition with inter-related factors including ethnicity, body mass index and gestational weight gain significantly modifying the absolute risk of complications at an individual level. Predicting the risk of pregnancy complications for an individual woman with GDM presents a useful adjunct to therapeutic decision-making and patient education. Diagnostic prediction models for GDM are prevalent. In contrast, prediction models for risk of complications in those with GDM are relatively novel. This study will systematically review published prognostic prediction models for pregnancy complications in women with GDM, describe their characteristics, compare performance and assess methodological quality and applicability. Methods Studies will be identified by searching MEDLINE and Embase electronic databases. Title and abstract screening, full-text review and data extraction will be completed independently by two reviewers. The included studies will be systematically assessed for risk of bias and applicability using appropriate tools designed for prediction modelling studies. Extracted data will be tabulated to facilitate qualitative comparison of published prediction models. Quantitative data on predictive performance of these models will be synthesised with meta-analyses if appropriate. Discussion This review will identify and summarise all published prognostic prediction models for pregnancy complications in women with GDM. We will compare model performance across different settings and populations with meta-analysis if appropriate. This work will guide subsequent phases in the prognosis research framework: further model development, external validation and model updating, and impact assessment. The ultimate model will estimate the absolute risk of pregnancy complications for women with GDM and will be implemented into routine care as an evidence-based GDM complication risk prediction model. It is anticipated to offer value to women and their clinicians with individualised risk assessment and may assist decision-making. Ultimately, this systematic review is an important step towards a personalised risk-stratified model-of-care for GDM to allow preventative and therapeutic interventions for the maximal benefit to women and their offspring, whilst sparing expense and harm for those at low risk. Systematic review registration PROSPERO registration number CRD42019115223

scholarly journals Pregnancy Complications and Risk of Uterine Rupture Among Women With Singleton Pregnancies in China

2021 ◽  
Author(s):  
Jing Tao ◽  
Yi Mu ◽  
Peiran Chen ◽  
Yanxia Xie ◽  
Juan Liang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Gestational Age ◽  
Pregnancy Complications ◽  
Uterine Rupture ◽  
Placental Abruption ◽  
Placenta Percreta ◽  
Near Miss ◽  
Increased Risk

Abstract Background: The goal of this study was to investigate whether pregnancy complications are associated with an increased risk of uterine rupture (UR) and how that risk changes with gestational age. Methods: We obtained all data from China’s National Maternal Near Miss Surveillance System (NMNMSS) between 2012 and 2018. Poisson regression analysis was used to assess the risk of UR with pregnancy complications (preeclampsia, gestational diabetes mellitus, placental abruption, placenta previa and placenta percreta) among 9,454,239 pregnant women. Furthermore, we analysed the risks of UR with pregnancy complications in different gestational age groups. Results: Compared with women without pregnancy complications, those with different complications (except for preeclampsia) had a 1- to 3-fold greater risk of UR. These associations also persisted in women without a previous caesarean delivery. Moreover, an increased risk of UR before term birth was observed among women with gestational diabetes mellitus, placental abruption and placenta percreta. A large for gestational age (LGA) foetus increased the risk of UR in women with gestational diabetes mellitus, especially at 32 to 36 weeks gestation. Conclusions: Better quality antenatal care and early intervention for women with these pregnancy complications are needed to minimize the incidence of UR.

scholarly journals Risk Factors for Pregnancy Complications and Postpartum Glucose Intolerance in Women With Gestational Diabetes Mellitus

2020 ◽  
Author(s):  
Naohisa Masuko ◽  
Kenji Tanimura ◽  
Nobue Kojima ◽  
Hitomi Imafuku ◽  
Masashi Deguchi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Glucose Intolerance ◽  
Pregnancy Complications ◽  
Glucose Tolerance Test ◽  
Tolerance Test ◽  
Oral Glucose ◽  
Hba1c Levels

Abstract This prospective cohort study aimed to evaluate the risk factors for pregnancy complications and postpartum glucose intolerance (GI) in women with gestational diabetes mellitus (GDM). A total of 140 women with GDM were enrolled. Of these, 115 underwent a 75-g oral glucose tolerance test (OGTT) at 12 weeks after delivery. Clinical factors and parameters in the antepartum 75-g OGTT associated with pregnancy complications and postpartum GI were evaluated. Women with GDM experienced pregnancy complications, including hypertensive disorders of pregnancy (HDP, n=19), preterm delivery (PD, n=17), heavy-for-date (HFD, n=19), and light-for-date (LFD, n=12), and 22 of the 115 women with GDM developed postpartum GI. The univariate and multivariable logistic regression analyses revealed the following risk factors: histories of hypertension (odds ratio [OR], 23.8; 95% confidence interval [CI], 4.2–134.7; p<0.01) for HDP; histories of hypertension (OR, 9.8; 95% CI, 2.5–38.9; p<0.01) for PD; HbA1c levels (OR, 7.6; 95% CI, 1.5–37.9; p<0.05) for HFD; and oral deposition index (DI) (OR, 0.1; 95% CI, 0.02–0.7; p<0.01) for postpartum GI. Higher HbA1c levels and lower oral DI on the antepartum 75-g OGTT may be useful markers for identifying GDM women who are at high risk for HFD and postpartum GI, respectively.

scholarly journals The Unrealised Potential for Predicting Pregnancy Complications in Women with Gestational Diabetes: A Systematic Review and Critical Appraisal

2020 ◽  
Vol 17 (9) ◽  
pp. 3048 ◽  
Author(s):  
Shamil D. Cooray ◽  
Lihini A. Wijeyaratne ◽  
Georgia Soldatos ◽  
John Allotey ◽  
Jacqueline A. Boyle ◽  
...  
Keyword(s):  
Systematic Review ◽  
Body Mass Index ◽  
High Risk ◽  
Gestational Diabetes ◽  
Body Mass ◽  
Pregnancy Complications ◽  
Critical Appraisal ◽  
Prediction Models ◽  
Risk Of Bias ◽  
Prognostic Prediction

Gestational diabetes (GDM) increases the risk of pregnancy complications. However, these risks are not the same for all affected women and may be mediated by inter-related factors including ethnicity, body mass index and gestational weight gain. This study was conducted to identify, compare, and critically appraise prognostic prediction models for pregnancy complications in women with gestational diabetes (GDM). A systematic review of prognostic prediction models for pregnancy complications in women with GDM was conducted. Critical appraisal was conducted using the prediction model risk of bias assessment tool (PROBAST). Five prediction modelling studies were identified, from which ten prognostic models primarily intended to predict pregnancy complications related to GDM were developed. While the composition of the pregnancy complications predicted varied, the delivery of a large-for-gestational age neonate was the subject of prediction in four studies, either alone or as a component of a composite outcome. Glycaemic measures and body mass index were selected as predictors in four studies. Model evaluation was limited to internal validation in four studies and not reported in the fifth. Performance was inadequately reported with no useful measures of calibration nor formal evaluation of clinical usefulness. Critical appraisal using PROBAST revealed that all studies were subject to a high risk of bias overall driven by methodologic limitations in statistical analysis. This review demonstrates the potential for prediction models to provide an individualised absolute risk of pregnancy complications for women affected by GDM. However, at present, a lack of external validation and high risk of bias limit clinical application. Future model development and validation should utilise the latest methodological advances in prediction modelling to achieve the evolution required to create a useful clinical tool. Such a tool may enhance clinical decision-making and support a risk-stratified approach to the management of GDM. Systematic review registration: PROSPERO CRD42019115223.

The role of vitamin D in preventing pregnancy complications in gestational diabetes mellitus

Pharmateca ◽  
2020 ◽  
Vol 4_2020 ◽  
pp. 22-25
Author(s):  
A.U. Kyazimova Kyazimova ◽  
R.M. Abdullaeva Abdullaeva ◽  
Sh.M. Polukhova Polukhova ◽  
S.M. Babaeva Babaeva ◽  
Keyword(s):  
Diabetes Mellitus ◽  
Vitamin D ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnancy Complications

scholarly journals Maternal Height, Gestational Diabetes Mellitus and Pregnancy Complications

2021 ◽  
pp. 108978
Author(s):  
Anne H.Y. Chu ◽  
Wen Lun Yuan ◽  
See Ling Loy ◽  
Shu E. Soh ◽  
Jonathan Y. Bernard ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnancy Complications ◽  
Maternal Height

Exercise, pregnancy, and insulin sensitivity – what is new?

2007 ◽  
Vol 32 (3) ◽  
pp. 537-540 ◽  
Author(s):  
Peter Damm ◽  
Bettina Breitowicz ◽  
Hanne Hegaard
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Insulin Sensitivity ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnancy Complications ◽  
Overweight And Obesity

Pregnancy is characterized by a marked physiological insulin resistance. Overweight and obesity or lack of physical activity can aggravate this reduced insulin sensitivity further. Increased insulin resistance has been associated with serious pregnancy complications, such as gestational diabetes mellitus (GDM) and pre-eclampsia. Recent studies clearly indicate that physical activity before and during pregnancy can reduce the risk of GDM and pre-eclampsia.

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