ABSTRACT
Objective: To document the location, size, and multiplicity of intracranial aneurysms in Ghanaians who have undergone digital subtraction angiography (DSA) at a single centre in Accra, Ghana. Design: We conducted a retrospective observational review of the medical records of all patients diagnosed with intracranial aneurysms on DSA Setting: Patients' medical records at Euracare Advanced Diagnostic and Heart Centre were reviewed between March 2018 and March 2020. Participants: Thirty-one patients were identified with various intracranial aneurysms (IAs) within the study period. Patients' ages, sex, and types of IAs were extracted using a checklist and analysed using Microsoft Excel for Windows 2016. Interventions: None Main outcome measures: The prevalence of types and distribution of intracranial aneurysms. Results: The age range of the patients was 26-76 years, with a mean age of 45.5±14.3 years. The mean age of men and women with IA was 45.5 ±15.9 years and 46.7 51.3±12.9 years, respectively. The most common IAs were located in the posterior communicating artery (PCOM) at 54.8% (95%CI: 36.0, 72.7), followed by the anterior communicating (ACOM), which constituted 32.3% (95%CI: 16.7, 51.4). The majority, 89.2% (33/37) of these aneurysms were less than 7mm in diameter. Single aneurysms were present in 25 (80.6%). Conclusion: The most common IAs were found in the PCOM and ACOM, and IAs tend to rupture at a younger age and smaller size among the Ghanaian adults examined. Early detection and treatment of IAs less than 7mm in diameter is recommended.
Subject(s)
Humans , Male , FemaleABSTRACT
Objectives: This study sought to assess the level of anti-glycaemic medication-taking and its predictors among adults living with diabetes receiving treatment at Cape Coast Teaching Hospital (CCTH). Design: This was a cross-sectional study carried out among adults living with diabetes and receiving care at CCTH. Data on socio-demographic characteristics and anti-glycaemic medication-taking were gathered using a structured questionnaire. A scale consisting of 4 domains (filling prescribed medication; taking medications appropriately ac-cording to the instructions of healthcare professionals; practising behavioural modifications, and showing up for fol-low-up appointments) and eight items was used to measure the level of anti-glycaemic medication-taking. Descriptive statistics, chi-square test (and Fisher's exact test where appropriate), bivariate and multivariate logistic regression models were used in analysing the data. Setting: The study was carried out in the diabetes clinic in Cape Coast Teaching Hospital. Participants: The total enumerative sampling technique was used to select 250 adults living with diabetes and receiv-ing care at CCTH.Main outcome measures: Anti-glycaemic medication-taking Results: Out of 250 participants studied, 42% had high anti-glycaemic medication-taking. Predictors of anti-glycae-mic medication-taking included; forgetfulness (aOR=0.02, 95% CI: 0.00-0.64, p<0.001), patient's involvement in treatment plan (aOR=0.12, 95% CI: 0.02-0.64, p=0.014) and having good knowledge about one's medication (aOR=2.34, 95% CI: 1.10-4.98, p=0.028). Conclusion: Less than half of the sample population (42%) had high anti-glycaemic medication-taking, with forget-fulness, involvement in the treatment plan and good knowledge about anti-glycaemic medications, predicting medi-cation-taking