Angiogenic growth factors, oxidative stress and haematobiochemical measures as predictors of preeclampsia with and without foetal growth restriction: A case-control study in a Ghanaian population.

INTRODUCTION: This study compares the angiogenic growth mediators (AGMs), oxidative stress (OS) and haematobiochemical profile as well as foeto-maternal outcomes of preeclampsia (PE) with and without foetal growth restriction (FGR) and the discriminative potential of these markers for identifying these conditions. METHODS: This hospital-based case-control study recruited a total of 209 women including 109 PE women without FGR and 48 PE women with FGR as cases whereas 52 normotensive pregnant women were recruited as controls. OS and AGMs and haematobiochemical markers were measured for all participants. RESULTS: The rates of foetal complications including intrauterine foetal death and foetal distress were more common in PE with FGR than PE without FGR (p < 0.05) but maternal complications were comparable across these groups (p > 0.05). Of the haematobiochemical markers, placental growth factors (PIGF), PIGF/8-Isoprostane, sFlt-1/PIGF (AUC = 0.87, p < 0.001), soluble FMS-tyrosine kinase receptor-1 (sFlt-1) (AUC = 0.85, p < 0.001), total antioxidant capacity, 8-isoprostane (AUC = 0.83, p < 0.001) and lactate dehydrogenase (AUC = 0.70, p < 0.001) were more associated and showed at least an acceptable discrimination for PE with FGR against PE only. DISCUSSION: The occurrence of FGR in PE patients does not necessarily indicate a severe maternal presentation of the condition but a tendency for adverse foetal outcomes. Cumulative assessment of OS and AGMs may provide diagnostic usefulness for distinguishing PE with and without FGR.

Prevalence of Cardiometabolic Syndrome and its Association With Body Shape Index and A Body Roundness Index Among Type 2 Diabetes Mellitus Patients: A Hospital-Based Cross-Sectional Study in a Ghanaian Population.

Cardiometabolic syndrome (MetS) is closely linked to type 2 diabetes mellitus (T2DM) and is the leading cause of diabetes complications. Anthropometric indices could be used as a cheap approach to identify MetS among T2DM patients. We determined the prevalence of MetS and its association with sociodemographic and anthropometric indices among T2DM patients in a tertiary hospital in the Ashanti region of Ghana. A comparative cross-sectional study was conducted among 241 T2DM outpatients attending the Komfo Anokye Teaching Hospital (KATH) and the Kumasi South Hospital for routine check-up. Sociodemographic characteristics, clinicobiochemical markers, namely, systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), and glycated hemoglobin (HbA1C) were measured. Anthropometric indices, namely, body mass index (BMI), Conicity index (CI), body adiposity index (BAI), A body shape index (ABSI), body roundness index (BRI), Waist-to-hip ratio (WHR), and Waist-to-height ratio (WHtR) were computed based on either the Height, Weight, Waist circumference (WC) or Hip circumference (HC) of the patients. Metabolic syndrome (MetS) was classified using the National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III) criteria. Data entry and analysis were done using Excel 2016 and SPSS version 25.0 respectively. Of the 241 T2DM patients, 99 (41.1%) were males whereas 144 (58.9%) were females. The prevalence of cardiometabolic syndrome (MetS) was 42.7% with dyslipidemia and hypertension recording a prevalence of 6.6 and 36.1%, respectively. Being a female T2DM patient [aOR = 3.02, 95%CI (1.59-5.76), p = 0.001] and divorced [aOR = 4.05, 95%CI (1.22-13.43), p = 0.022] were the independent sociodemographic predictors of MetS among T2DM patients. The 4th quartile for ABSI and 2nd to 4th quartiles for BSI were associated with MetS on univariate logistic regression (p <0.05). Multivariate logistic regression identified the 3rd quartile (aOR = 25.15 (2.02-313.81), p = 0.012) and 4th quartile (aOR = 39.00, 95%CI (2.68-568.49), p = 0.007) for BRI as the independent predictors of MetS among T2DM. The prevalence of cardiometabolic syndrome is high among T2DM patients and this was influenced by female gender, being divorced, and increased BRI. Integration of BRI as part of routine assessment could be used as early indicator of cardiometabolic syndrome among T2DM patients.