Prediction of Gestational Diabetes Mellitus at First Trimester

Samah Maiwed Alsawat, Amal Abdulrahman Hunjur, Reem Moutlaq Alsayali, Sara Mohammad Ali Shafei

Abstract: The main objective of this review was to evaluate several potential GDM predictors with consideration to measures and to determine the extent to which GDM can be predicted in the first trimester in low risk pregnancy. Electronic detailed Search was conducted through following databases; PubMed, Embase, Science direct, searching relevant articles which were concerned with Gestational diabetes mellitus (GDM), we restricted our search to only English published articles up to January 2017, with human subject’s involvement only. furthermore, we search references lists of selected studies for more useful eligible articles to our objective in this review. Glycosylated hemoglobin A1c (A1C) has many benefits over conventional oral glucose tolerance tests (OGTTs) in pregnancy. Ladies with prediabetes by first trimester A1C are considerably more most likely to have GDM, the low sensitivity of an A1C in this variety renders it a poor test to identify females who will develop GDM. Multimarker models combining protein markers and clinical information have the potential to forecast ladies at a high risk of developing GDM. Keywords: Gestational diabetes mellitus (GDM), first trimester, Glycosylated hemoglobin, Multimarker models. Title: Prediction of Gestational Diabetes Mellitus at First Trimester Author: Samah Maiwed Alsawat, Amal Abdulrahman Hunjur, Reem Moutlaq Alsayali, Sara Mohammad Ali Shafei International Journal of Healthcare Sciences ISSN 2348-5728 (Online) Research Publish Journals

Vol. 4, Issue 2, October 2016 – March 2017

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Prediction of Gestational Diabetes Mellitus at First Trimester by Samah Maiwed Alsawat, Amal Abdulrahman Hunjur, Reem Moutlaq Alsayali, Sara Mohammad Ali Shafei