dc.contributor.author | Noreh, Salome N | |
dc.date.accessioned | 2022-05-16T08:41:31Z | |
dc.date.available | 2022-05-16T08:41:31Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | http://erepository.uonbi.ac.ke/handle/11295/160631 | |
dc.description.abstract | Background
The prevalence of Gestational Diabetes Mellitus, a form of hyperglycaemia recognised
for the first time in pregnancy, is increasing globally. The prevalence at Kenyatta
National Hospital was 11.6% in 2012.
Uncontrolled hyperglycaemia, a consequence of poor glycaemic control, can result in
foetal macrosomia and stillbirths. Macrosomia can lead to a variety of pregnancy
outcomes: shoulder dystocia, perineal trauma, postpartum haemorrhage, neonatal
hypoglycaemia, neonatal hyperbilirubinemia, and later obesity along with type 2
diabetes in the neonate.
The level of glycaemic control and incidence of macrosomia and poor pregnancy
outcomes among women with diabetes in pregnancy on treatment at Kenyatta
National Hospital is unknown.
Objective
To determine the prevalence of poor glycaemic control and compare the incidence of
poor pregnancy outcomes among women with diabetes in pregnancy who have poor
glycaemic control (average third trimester fasting blood sugar ≥ 5.3mmol/L) with the
incidence of poor pregnancy outcomes among women with diabetes in pregnancy who
have good glycaemic control (average third trimester fasting blood sugar < 5.3mmol/L.
Methodology
Study Design: This was a retrospective descriptive cohort study.
Study Population: Women with diabetes in pregnancy (gestational diabetes and preexisting
diabetes) on treatment
Study Setting: Kenyatta National Hospital antenatal clinic, antenatal ward and labour
ward.
Sample Size: A sample of 258 files of diabetic pregnant patients, with the exposed
group of 230 with average third trimester fasting blood sugar level ≥ 5.3mmol/L, and
the unexposed group of 28 with average third trimester fasting blood sugar level <
5.3mmol/L
Data Collection: A structured questionnaire was used to retrieve data from patients’
files.
Data Analysis: Data was entered and analysed with the use of SPSS 23. Demographic
data was analysed and presented as means and standard deviations. The prevalence
of poor glycaemic control (average third trimester fasting blood sugar ≥ 5.3mmol/L)
was presented as proportion of women with levels at or above 5.3mmol/L. The
incidences of the macrosomia and poor pregnancy outcomes were calculated.
Results
The prevalence of poor glycaemic control (average third trimester fasting blood sugar
level ≥ 5.3mmol/L) was 89.1%. There was a higher incidence of macrosomia (25.7%
vs 21.4%; p-value 0.627), stillbirths (17.9% vs 3.6%; p-value 0.058) and preterm birth
(43.9% vs 21.4%; p-value 0.025) among diabetic pregnant women with poor glycaemic
control compared to diabetic pregnant women with good glycaemic control.
Furthermore, among those with poor glycaemic control, the pre-existing diabetics
experienced significantly worse outcomes of stillbirths (20.9% vs 0%; p-value 0.004)
and preterm births (47.2% vs 24.2%; p-value 0.014) than the gestational diabetics.
Conclusion
Poorly controlled diabetes in pregnancy heightens the risk of adverse pregnancy
outcomes such as macrosomia, stillbirths and preterm births, with poorly controlled
pre-existing diabetic women experiencing significantly worse outcomes of stillbirths
and preterm births than poorly controlled gestational diabetics. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Nairobi | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | Third Trimester Fasting Blood Sugar Level , Poor Pregnancy Outcomes, Women With Pregnancy Diabetes | en_US |
dc.title | Average Third Trimester Fasting Blood Sugar Level and Poor Pregnancy Outcomes Among Women With Pregnancy Diabetes at Kenyatta National Hospital – Retrospective Descriptive Cohort | en_US |
dc.type | Thesis | en_US |
dc.description.department | a
Department of Psychiatry, University of Nairobi, ; bDepartment of Mental Health, School of Medicine,
Moi University, Eldoret, Kenya | |