Literature DB >> 33477651

Contributing Factors to Perinatal Outcome in Pregnancies with Gestational Diabetes-What Matters Most? A Retrospective Analysis.

Friederike Weschenfelder1, Friederike Hein1, Thomas Lehmann2, Ekkehard Schleußner1, Tanja Groten1.   

Abstract

The aim of diabetes care of pregnant women with gestational diabetes mellitus (GDM) is to attain pregnancy outcomes including rates of large-for-gestational-age (LGA) newborns, pre-eclampsia, C-sections (CS) and other neonatal outcomes similar to those of the non-GDM pregnant population. Obesity and excessive weight gain during pregnancy have been shown to also impact perinatal outcome. Since GDM is frequently associated with elevated body mass index (BMI), we evaluated the impact of maternal prepregnancy BMI, development of GDM and gestational weight gain (GWG) during pregnancy on perinatal outcome. We compared 614 GDM patients with 5175 non-diabetic term deliveries who gave birth between 2012 and 2016. Multivariate regression analysis was used to evaluate the independent contribution of each factor on selected perinatal outcome variables. Additionally, subgroup analysis for obese (BMI ≥ 30 kg/m2) and non-obese women (BMI < 30 kg/m2) was performed. LGA was significantly influenced by BMI, GWG and GDM, while Neonatal Intensive Care Unit (NICU) admission was solely impacted by GDM. Maternal outcomes were not dependent on GDM but on GWG and prepregnancy BMI. These results remained significant in the non-obese subgroup only. Thus, GDM still affects perinatal outcomes and requires further improvement in diabetic care and patient counseling.

Entities:  

Keywords:  C-section; NICU; body mass index; gestational diabetes; gestational weight gain; large for gestational age; obesity; perinatal outcomes

Year:  2021        PMID: 33477651      PMCID: PMC7831502          DOI: 10.3390/jcm10020348

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  39 in total

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Review 1.  Gestational Diabetes Mellitus and Preeclampsia: Correlation and Influencing Factors.

Authors:  Ying Yang; Na Wu
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