Home | Volume 32 | Article number 94

Original article

Gestational diabetes mellitus and obstetric outcomes in a Ghanaian community

Gestational diabetes mellitus and obstetric outcomes in a Ghanaian community

Ahmed Tijani Bawah1,&, Robert Amadu Ngala2, Huseini Alidu1, Mohammed Mustapha Seini3, Joshua Dokurugu Kwame Wumbee4, Francis Agyemang Yeboah2

 

1Department of Medical Laboratory Science, School of Allied Health Sciences, University of Health and Allied Health Sciences, Ho, Ghana, 2Department of Molecular Medicine, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, 3Laboratory Department, Greater Regional Hospital, Accra, Ghana, 4Quality Control Unit, Quality Control Directorate, Kumasi Technical, University, Kumasi, Ghana

 

 

&Corresponding author
Ahmed Tijani Bawah, Department of Medical Laboratory Sciences, School of Allied Health Sciences, University of Health and Allied Health Sciences, Ho, Ghana

 

 

Abstract

Introduction: this study was aimed at evaluating effect of Gestational diabetes mellitus (GDM) and maternal characteristics on pregnancy outcome. GDM has several risk factors including; advanced maternal age, ethnic background, obesity and family history of diabetes mellitus. These pregnancy complications are associated with fetal morbidity and mortality and may lead to macrosomia and shoulder dystocia. Others are stillbirth, miscarriages, preterm and small for gestational age babies.

 

Methods: this was a retrospective case-case control study which compared maternal characteristics and pregnancy outcome among pregnant women with and without GDM. Diagnosis of GDM was done in accordance with the American Diabetes Association (ADA) criteria. Weight and height were determined and Body mass index (BMI) calculated. Pregnancy outcome was determined at the end of pregnancy and information on maternal characteristics obtained using questionnaire and patient folders.

 

Results: those who developed GDM were significantly older (OR= 1.772; 95% CI =1.432-2.192; P<0.0001) and had higher BMI (OR=1.637; 95% CI=1.004-1.289; P=0.044) than those who did not. A significant number of those who developed GDM also had stillbirths OR= 5.188; 95% CI=1.093-24.613; p=0.038) and cesarean deliveries (OR=14.362; 95% CI=3.661-56.335; p= 0.001).

 

Conclusion: women who develop GDM are more likely to deliver stillborn or macrosmic babies and may require surgical intervention in order to have normal deliveries.

 

 

Introduction    Down

This paper looks at obstetric outcomes in relation to GDM. GDM is the occurrence of hyperglycemia in pregnant women who have never had diabetes. This condition is becoming more common as a result of the increasing prevalence of type 2 diabetes mellitus (T2DM) and obesity [1]. Women who have had GDM are likely to have it again in later pregnancies. Women with GDM may develop T2DM later on; however, reducing weight, eating balanced diet and getting adequate exercise will minimize their risk of getting diabetes mellitus (DM). Screening GDM women for DM after birth, can detect women at risk of developing DM [2]. The link between neonatal morbidity and diabetes during pregnancy had been recognized since the early 1940s [3, 4] and by the 1950s GDM had been documented [5]. In the 1960s it was reported that the degree of hyperglycemia during pregnancy could be associated with diabetes after pregnancy and subsequently a criteria was established for diagnosing GDM [6]. The prevalence of GDM is increasing globally [7] and varies from country to country. In Australia, it ranges from 5.2% to 8.8% [8] and in the United States it is 1% to 14%, [9]. GDM is responsible for almost 90% of all pregnancies complicated by glucose intolerance [9]. In Nigeria, the incidence of diabetes mellitus among pregnant women was 1.7% with pre-gestational diabetes accounting for 39% while GDM was responsible for 61% of cases [10] and in Ghana a prevalence of 10% was reported at the Korle-Bu Teaching Hospital [11].

 

Risk factors for GDM are; a previous diagnosis of GDM, family history indicating a first degree relative with type 2 diabetes mellitus, poor previous obstetric outcome, previous macrosomia and advanced maternal age [12]. Others are; obesity, polycystic ovarian syndrome, glycosuria during pregnancy and ethnic background [13]. Smoking during pregnancy was also demonstrated to double the risk of GDM [14]. One of the effects of GDM is; the risk of developing type 2 DM in the future (Kim et al. 2002). About 10% of GDM patients develop DM soon after delivery [15] and about 70% develop diabetes mellitus between 5 to 15 years [16]. The risk is higher in women who required insulin for treatment [17]. Women with GDM are likely to develop type 2 diabetes mellitus in later life [16], and children of women with GDM have a higher risk for childhood and adult obesity and an increased risk of type 2 diabetes later in life [18]. Women with GDM are also at risk of developing preeclampsia and have a higher risk of cesarean deliveries [16]. There is also the risk of abruptio placentae, preterm labour and postpartum uterine atony [19]. Furthermore, women with GDM were reported to experience twice the number of urinary tract infections than the controls. This is due to the increased amount of glucose in the urine during pregnancy which can cause pyelonephritis and asymptomatic bacteriuria [19]. It has therefore been recommended to check glucose tolerance in all women who have had GDM at six weeks post-partum and every three years afterwards [20]. Over the past decades, several researchers have reported on various effects of GDM on infant's health and these include; an increased risk of macrosomia, birth injuries such as shoulder dystocia [21]. The incidence of GDM is increasing worldwide which may be due to changing life style and delay in childbirth as a result of delay marriages which may be as a result of the fact that more girls are attaining higher educational status, hence this study sought to examine maternal characteristics, obstetric and family history of participants and to elucidate the effect of these parameters on pregnancy outcomes.

 

 

Methods Up    Down

This was a retrospective case-control study involving 200 participants; 80 women with GDM and 120 women without GDM at the Volta Regional Hospital, Ho, Ghana from January 2014 to December 2016. Information on maternal characteristics such as age, BMI, family history of diabetes mellitus, number of previous miscarriages and stillbirth were obtained from patient folders. Participants whose antenatal records indicated that they had preexisting diabetes were excluded. Also excluded were those with hemoglobin A1c level ≥6.5% at first antenatal visit. All pregnant women in this facility are screened for GDM between 24 and 28 weeks of gestation where the women's plasma glucose is tested after a 50g oral glucose load. When the plasma glucose measured after one hour is ≥7.8 mmol/l, the woman is referred to do oral glucose tolerance test (OGTT). Diagnosis of GDM is usually made after 24 weeks of gestation using the results of the OGTT based on the criteria of the American Diabetes Association [22].

 

Postnatal records were also reviewed and information on pregnancy outcome was recorded for each participant and the number of stillbirths as well as live births documented. For those who had live births, they were subdivided into those who had normal spontaneous vaginal deliveries and assisted deliveries comprising; cesarean section, misopristol (cytotec) insertion and a combination of cytotec and episiotomy. The study protocol was reviewed and approved by the joint Committee on Human Research Publication and Ethics of the School of Medical Science, Kwame Nkrumah University of Science and Technology and the Komfo Anokye Teaching Hospital, Kumasi, Ghana.

 

Statistical analysis: data were first entered into Microsoft Office Excel 2007 and GraphPad Prism 3.02 program was used to analyze the data. univariate and multivariate logistic regression were used to compare obstetric outcomes among those with GDM and those without GDM. The level of statistical significance was set at P<0.05 for all tests and at 95% confidence interval.

 

Ethics approval and consent to participate: ethical clearance (Ref CHRPE/AP350/14) was obtained from the joint Committee on Human Research Publication and Ethics of the School of Medical Science, Kwame Nkrumah University of Science and Technology and the Komfo Anokye Teaching Hospital, Kumasi. Participation in this study was voluntary and informed consent was obtained from each study participant.

 

 

Results Up    Down

In this study, advanced maternal age (OR=1.772; 95% CI=1.432-2.192; p<0.0001) and high BMI (OR=1.637; 95% CI=1.004-1.289; p=0.044) showed strong relationship with GDM (There was also a strong influence of previous cesarean operation (OR=14.362; 95% CI=3.661-56.335; p<0.0001) and family history of diabetes (OR=2.692; 95% CI=0.953-7.608; p=0.043) on the development of GDM. Parity, previous miscarriages, previous stillbirth and number of pregnancies did not show significant difference between those who developed GDM and those who did not (Table 1). When the pregnancy outcomes (Stillbirth, live birth, spontaneous abortion and induced labour) were stratified by GDM (Table 2), there were no significant differences in deliveries through cesarean operation (p=1.000) and deliveries with the help of misopristol (Cytotec) (p=0.507) between the GDMs and the non-GDMs.

 

However, there were significant differences in the deliveries which were conducted with the use of a combination of Cytotec and episiotomy (OR=16.449; 95% CI=4.5-60.128; p=0.005) as well as delivery of stillborn babies (OR=5.188; 95% CI=1.093-24.613; p=0.038) between those with GDM and those without GDM. Analysis of post-partum maternal characteristics on birth weight (Table 3) showed that there was no significant difference in the birth weight resulting from sex of baby, and the method by which delivery was achieved. There was, however, strong influence of baby's weight by GDM (OR=14.2; 95% CI=4.35-46.00; p<0.0001) indicating that women who developed GDM are 14.2 times more likely to deliver macrosomic babies than those did not develop GDM.

 

 

Discussion Up    Down

The mean first trimester BMI of those who developed GDM was significantly higher than those without GDM. This is in consonant with a study which indicated that the risk of developing GDM amplified about 3 fold in obese women [12] but contrary to a study in which there was no significant difference in the BMI of women with GDM and the controls and that pregnancy weight gain was a better indicator of pregnancy outcome [23]. This study also revealed that poor previous obstetric outcome was related to the development of GDM in later pregnancies due to the fact that significant number of the GDM group had previous cesarean operations, suggesting that they might possibly have delivered macrosomic babies in those previous pregnancies. This is in agreement with a study done in Madrid [24], which found macrosomia to be more common in children of mothers who had developed gestational diabetes mellitus. Another study also reported that macrosomia was more common in children of women who had developed diabetes mellitus after gestational diabetes mellitus [25].

 

In GDM, the fetus is persistently affected by high glucose levels from maternal circulation. This leads to elevated level of fetal of insulin (maternal insulin itself cannot cross the placenta). The anabolic effects of insulin can lead to macrosomia. [26]. The mean age of the GDM group was significantly higher than their peers. The relationship between advanced maternal age and GDM was clearly demonstrated by this study and it is in agreement with an earlier study [13]. In a study done in urban Iranian population, women with GDM had a higher rate of stillbirths than those with normal glucose tolerance [27] which is similar to this present study. Similarly our study reports higher number of cesarean operation among those with GDM as compared to those with normal glucose tolerance which is in consonant with a previous study which reported a higher number of cesarean deliveries among women with GDM as a result of the fact that their infants are normally large for gestational age and often have higher risk for prematurity [28]. The prematurity associated with pregnancies complicated by glucose intolerance may be responsible for higher number of stillbirths among the GDMs.

 

 

Conclusion Up    Down

Women who develop GDM are more likely to deliver stillborn or macrosmic babies and may require minor or major surgical intervention through episiotomy and cesarean operation respectively. Obese women and women with previous cesarean operation are prone to the development of gestational diabetes mellitus during pregnancy. The findings in this study reemphasize the need to intensify screening of pregnant women for GDM and to institute measures to reduce the effects of this condition on the baby and the mother.

What is known about this topic

  • Women who are obese are likely to develop GDM during pregnancy;
  • Women who have relatives with diabetes are at risk of developing GDM.

What this study adds

  • Women with GDM are more likely to deliver with the help of cytotec and episiotomy;
  • More women with GDM deliver stillborn babies compared to women without GDM.

 

 

Competing interests Up    Down

The authors declare no competing interests.

 

 

Authors’ contributions Up    Down

ATB and RAN contributed to the conception of the research idea, design, data collection, paper drafting and revision. JDKW and FAY contributed to the data analysis and interpretation, paper drafting and revision. MMS and HA contributed to research design, patient recruitment, data collection, laboratory assays and paper drafting. All authors read and approved the final manuscript and agree to be responsible for all aspects of the study.

 

 

Acknowledgments Up    Down

We are grateful to the Department of Medical Laboratory Science, University of Health and Allied Science and the management of the Volta Regional Hospital, Ho, Ghana, for granting us permission to carry out the project in the facility. Our gratitude also goes to the School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana for institutional support.

 

 

Tables  Up    Down

Table 1: multivariate logistic regression of maternal characteristics and family history of participants stratified by GDM

Table 2: multivariate logistic regression of factors associated with pregnancy outcomes among the study respondents with GDM

Table 3: univariate analyses of post-partum maternal characteristics on birth weight

 

 

References Up    Down

  1. Coustan DR. Gestational diabetes mellitus. Clinical chemistry. 2013; 59(9):1310-1321. PubMed | Google Scholar

  2. Funnell MM, Brown TL, Childs BP, Haas LB, Hosey GM, Jensen B et al. National standards for diabetes self-management education. Diabetes care. 2009; 32 (Supplement 1):S87-S94. PubMed | Google Scholar

  3. Buchanan TA, Xiang AH. Gestational diabetes mellitus. The Journal of clinical investigation. 2005; 115(3):485-491. PubMed | Google Scholar

  4. Miller HC. The effect of diabetic and prediabetic pregnancies on the fetus and newborn infant. The Journal of pediatrics. 1946; 29(4):455-461. PubMed | Google Scholar

  5. Carrington ER, Shuman CR, Reardon HS. Evaluation of the prediabetic state during pregnancy. Obstetrics & Gynecology. 1957; 9(6):664-669. PubMed | Google Scholar

  6. O'Sullivan JB, Mahan CM. Criteria for the oral glucose tolerance test in pregnancy. Diabetes. 1964; 13:278. PubMed | Google Scholar

  7. Dabelea D, Snell-Bergeon JK, Hartsfield CL, Bischoff KJ, Hamman RF, McDuffie RS; Kaiser Permanente of Colorado GDM Screening Program. Increasing prevalence of gestational diabetes mellitus (GDM) over time and by birth Cohort Kaiser Permanente of Colorado GDM Screening Program. Diabetes care. 2005; 28(3):579-584. PubMed | Google Scholar

  8. Cheung NW, Byth K. Population health significance of gestational diabetes. Diabetes care. 2003; 26(7):2005-2009. PubMed | Google Scholar

  9. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes care. 2006; 29(1):S43. PubMed | Google Scholar

  10. Ozumba B, Obi S, Oli J. Diabetes mellitus in pregnancy in an African population. International Journal of Gynecology & Obstetrics. 2004; 84(2):114-119. PubMed | Google Scholar

  11. Oppong SA, Ntumy MY, Amoakoh-Coleman M, Ogum-Alangea D, Modey-Amoah E. Gestational diabetes mellitus among women attending prenatal care at Korle-Bu Teaching Hospital, Accra, Ghana. International Journal of Gynecology & Obstetrics. 2015; 131(3):246-250. PubMed | Google Scholar

  12. Teh WT, Teede HJ, Paul E, Harrison CL, Wallace EM, Allan C. Risk factors for gestational diabetes mellitus: implications for the application of screening guidelines. Australian and New Zealand Journal of Obstetrics and Gynaecology. 2011; 51(1):26-30. PubMed | Google Scholar

  13. Ross G. Gestational diabetes. Australian family physician. 2006; 35(6):392-6. PubMed | Google Scholar

  14. England LJ, Levine RJ, Qian C, Soule LM, Schisterman EF, Kai FY et al. Glucose tolerance and risk of gestational diabetes mellitus in nulliparous women who smoke during pregnancy. American journal of epidemiology. 2004; 160(12):1205-1213. PubMed | Google Scholar

  15. Kjos SL, Buchanan TA, Greenspoon JS, Montoro M, Bernstein GS, Mestman JH. Gestational diabetes mellitus: the prevalence of glucose intolerance and diabetes mellitus in the first two months post partum. American journal of obstetrics and gynecology. 1990; 163(1):93-98. PubMed | Google Scholar

  16. Kim C, Newton KM, Knopp RH. Gestational Diabetes and the Incidence of Type 2 Diabetes A systematic review. Diabetes care. 2002; 25(10):1862-1868. PubMed | Google Scholar

  17. Barden A, Singh R, Walters BN, Ritchie J, Roberman B, Beilin LJ. Factors predisposing to pre-eclampsia in women with gestational diabetes. Journal of hypertension. 2004; 22(12):2371-2378. PubMed | Google Scholar

  18. Boney CM, Verma A, Tucker R, Vohr BR. Metabolic syndrome in childhood: association with birth weight, maternal obesity, and gestational diabetes mellitus. Pediatrics. 2005; 115(3):e290-e296. PubMed | Google Scholar

  19. Gilmartin A, Ural S, Repke J. Gestational diabetes mellitus. Reviews in obstetrics & gynecology. 2008; 1(3):129-134. PubMed | Google Scholar

  20. Maas A, van't Hof A, de Boer M. Cardiovascular risk in women after metabolic complications in pregnancy. Netherlands Heart Journal. 2007; 15(12):415-417. PubMed | Google Scholar

  21. Langer O, Yogev Y, Most O, Xenakis EM. Gestational diabetes: the consequences of not treating. American journal of obstetrics and gynecology. 2005; 192(4):989-997. Google Scholar

  22. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes care. 2010;33( :S62-S9.):62. PubMed | Google Scholar

  23. Asare-Anane H, Bawah AT, Ofori EK, Amanquah SD. Risk Factors for Gestational Diabetes Mellitus among Ghanaian Women at the Korle-Bu Teaching Hospital. Journal of Biology, Agriculture and Healthcare. 2014; 4(12):54-56. Google Scholar

  24. Weller K. Diagnosis and management of gestational diabetes. American family physician. 1996; 53(6):2053-2057, 2061-2052. PubMed | Google Scholar

  25. Amraei A, Azemati M. Metabolic Status of Women with Gestational Diabetes Mellitus Six Months after Delivery. Research Journal of Biological Sciences. 2007; 2(1):104-107. Google Scholar

  26. Kelly L, Evans L, Messenger D. Controversies around gestational diabetes, Practical information for family doctors. Canadian family physician. 2005; 51(5):688-695. PubMed | Google Scholar

  27. Keshavarz M, Cheung NW, Babaee GR, Moghadam HK, Ajami ME, Shariati M. Gestational diabetes in Iran: incidence, risk factors and pregnancy outcomes. Diabetes research and clinical practice. 2005; 69(3):279-286. PubMed | Google Scholar

  28. Fadl HE, Östlund I, Magnuson A, Hanson US. Maternal and neonatal outcomes and time trends of gestational diabetes mellitus in Sweden from 1991 to 2003. Diabetic Medicine. 2010; 27(4):436-441. PubMed | Google Scholar