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SCREENING OF THE ANTENATAL POPULATION FOR GESTATIONAL DIABETES MELLITUS USING GLUCOSE CHALLENGE TEST, AT THE FEDERAL TEACHING HOSPITAL, IDO-EKITI

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Supervisor: Dr. A.A. Adeniyi , Dr. R.A. Okere
Faculty: OBSTETRICS AND GYNAECOLOGY
Institution of Training: FEDERAL TEACHING HOSPITAL,ABEOKUTA
Month: 11
Year: 2018

Abstract

Background: Selective risk-based screening for GDM is practiced in most developing countries leading to missed cases of GDM especially among “low risk” women. The threshold values required for the diagnosis of GDM was reviewed lately by international and national, medical and obstetric organizations;the use of these diagnostic criteria has been associated with increase in the prevalence of GDM in some populations. There,however, remain concerns whether the additional women identified using these new diagnostic criteria have pregnancy outcomes that might not warrant their additional burden of specialized care. It is important to firstly determine the effect of the implementation of these new consensus diagnostic criteria on the prevalence of GDM in our environment. Aim: This study aimed to determine the prevalence of gestational diabetes using various standard diagnostic criteria, compare glucose pattern in low risk and high risk women, and identify possible socio-demographic or clinical predictors of GDM in our environment. Methodology: This cross-sectional, descriptive, hospital-based study involved the recruitment of 117 pregnant women of gestational ages between 24-32 weeks from the Federal Teaching Hospital (FTH), Ido-Ekiti. All subjects had relevant information recorded in a proforma, 50-g glucose challenge Test (GCT) done and venous blood was drawn 1 hour later. Women with a positive GCT result underwent a 75-g OGTT, which was used as the actual diagnostic test for GDM using 2013WHO, 1999 WHO, IADPSG, NICE, DAN and 2003CDA diagnostic criteria. Data analysis was done using the Statistical Package for the Social Sciences (SPSS) version 20.0. Associations between variables were tested using Chi-square, Fisher's exact and t-test as appropriate. Significance level was set at P < 0.05. Logistic regression analysis was used to determine independent risk factors associated with GDM.

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