Objective: The cause of fetal overgrowth during pregnancy is still unclear. This study aimed to analyze and predict the risk of macrosomia in pregnant women with gestational diabetes mellitus (GDM).
Methods: This study was a retrospective study collected from October 2020 to October 2021. A total of 6072 pregnant women with a routine 75-g oral glucose tolerance test (OGTT) during 24-28 gestational weeks were screened. Nearly equal numbers of pregnant women with gestational diabetes and with normal glucose tolerance (NGT) were included in the study. Multivariate logistic regression analysis and receiver operating characteristic (ROC) curve were performed to determine the index and inflection point for predicting macrosomia occurrence.
Results: The data of perinatal outcomes of 322 GDM and 353 NGT who had given birth to single live babies at term were analyzed. We found that significant cut-off values for the prediction of macrosomia are 5.13mmol/L in fasting plasma glucose (FPG), 12.25kg in gestational weight gain (GWG), 3,605g in ultrasound fetal weight gain (FWG) and 124mm in amniotic fluid index (AFI).The area under the ROC curve of this predictive model combined all variables reached 0.953 (95% CI: 0.914 ~ 0.993) with a sensitivity of 95.0% and a specificity of 85.4%.
Conclusions: FPG is positively associated with newborn birth weight. An early intervention to prevent macrosomia may be possible by combining maternal GWG, FPG, FWG, and AFI in gestational diabetes.
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http://dx.doi.org/10.1186/s12884-023-05594-6 | DOI Listing |
Cureus
December 2024
Plastic Surgery, Shri Guru Ram Rai Institute of Medical & Health Sciences, Dehradun, IND.
Pregnancy issues such as gestational hypertension, preeclampsia, and gestational diabetes mellitus (GDM) are significant contributors to long-term cardiovascular diseases (CVDs) in women. Recent research has proved the impact of exercise on improving cardiovascular outcomes, particularly in women with pregnancy-related disorders. This review explores the outcomes of various exercise interventions on cardiovascular health in pregnant women.
View Article and Find Full Text PDFCureus
December 2024
Department of Family Medicine, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Jeddah, SAU.
Objectives This study analyzed the practices and findings on postpartum type 2 diabetes mellitus (T2DM) screening among pregnant women with gestational diabetes mellitus (GDM). Methods A retrospective cohort study was conducted at a tertiary care center in Western Saudi Arabia, between January 1, 2016, and December 31, 2018. It involved 642 nondiabetic women with a confirmed diagnosis of GDM, who were followed until delivery.
View Article and Find Full Text PDFEndocr Metab Immune Disord Drug Targets
January 2025
Department of Genetics, School of Biology and Basic Medical Sciences, Suzhou Medical College Soochow University, Suzhou 215123, China.
Background: There is still no conclusive understanding of whether the glucokinase regulator (GCKR) gene rs780094 and rs1260326 polymorphisms predispose to gestational diabetes mellitus (GDM).
Objective: This systematic review and meta-analysis aimed to determine the effect of the GCKR polymorphisms on GDM susceptibility.
Methods: Seven literature databases were searched (from inception to February 17, 2024) to locate relevant studies included in further meta-analysis.
BMJ Open
December 2024
EPIunit and Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Universidade do Porto Instituto de Saude Publica, Porto, Portugal.
Introduction: Pre-eclampsia is a pregnancy-related complication estimated to affect up to 8% of pregnancies worldwide. It is associated with an increased risk of postpartum sustained hypertension, coronary artery disease, cerebrovascular disease, peripheral arterial disease and cardiovascular-related mortality. Nevertheless, these associations have seldom been addressed in younger women from sub-Saharan Africa (SSA).
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Nursing, The Affiliated Hospital of Medical College Qingdao University, Qingdao, Shandong, 266003, China.
Background: This systematic review aims to explore the early predictive value of machine learning (ML) models for the progression of gestational diabetes mellitus (GDM) to type 2 diabetes mellitus (T2DM).
Methods: A comprehensive and systematic search was conducted in Pubmed, Cochrane, Embase, and Web of Science up to July 02, 2024. The quality of the studies included was assessed.
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