Computed tomography features of spontaneous acute intracranial hemorrhages in a tertiary hospital in Southern Ghana

Introduction: spontaneous acute intracranial hemorrhage (SICH) accounts for approximately 10-15% of all stroke cases. Early detection by computed tomography (CT) and early treatment are key. Hence this study to examine the CT features of SICH. Methods: this retrospective cohort study reviewed all 435 patients diagnosed with SICH from 1st March, 2017 to 1st January, 2021 in a tertiary facility in Southern Ghana. Data collected (age, sex, SICH type and the CT scan features) were organized and analyzed using GNU PSPP and Libre Office Calc. Statistical significance level was pegged at p≤0.05. Results: the SICH types were acute intracerebral hemorrhage (97.93%), acute subarachnoid/intraventricular hemorrhage (1.15%), acute epidural hemorrhage (0.46%) and acute subdural hemorrhage (0.46%). Acute intracerebral hemorrhage was more common in those >60 years (57.75%, p<0.001). The commonest CT feature for acute intracerebral hemorrhage was hyperdense lesion with perilesional edema (40.98%), with smoking (OR=2.24, 95% CI: 1.14-4.41, p=0.019) and anticoagulants intake (OR=2.56, 95% CI: 1.15-5.72, p=0.022) as the predictive factors; followed by hyperdense lesion extending to the edge of the brain (25.03%), also predictable by smoking (OR=0.23, 95% CI: 0.11-0.47, p<0.001); and hyperdense lesion with mass effects (22.70%) was not predictive with any risk factor. Type 2 diabetes mellitus (60.00%, p<0.001) and smoking (97.83%, p<0.001) were more common in males. Conclusion: hyperdense lesion with perilesional edema was the most frequent CT feature for acute intracerebral hemorrhage and was predictable by smoking and anticoagulants intake. Smoking was a predictive factor to the development of most of the features of acute intracerebral hemorrhage

Age of first diagnosis and incidence rate of uterine fibroids in Ghana. A retrospective cohort study.

BackgroundUterine fibroids are benign tumors that grow in or on the uterus of women. Globally, they occur in more than 80% of women of African ancestry and 70% in white women. Uterine fibroid requires much attention because of its high incidence rate among women of all races and ages. This study sought to document the age of first diagnosis and incidence rates of uterine fibroids in our urban setting.MethodsThis study reviewed and analyzed the ages and year of diagnosis of all 2,469 patients with the first diagnosis of uterine fibroids from 1st January 2018 to 31st December 2021 in South-Central Ghana. The obtained data were analyzed using GNU PSPP, Python on Jupyter Notebook and Libre Office Calc with statistical significance level set at p≤0.05.ResultsThe overall average age was 36.29±8.08 years, with age range 17-61 years and the age groups with the highest frequencies were 35-39 years (n = 642, 26.00%), 30-34 years (n = 563, 22.80%) and 40-44 years (n = 381, 15.43%). The mean ages of the patients in 2018, 2019, 2020 and 2021 were 36.70±8.00 years (95%CI = 35.97-37.43), 37.07±7.66 years (95%CI = 36.45-37.70), 35.92±7.87 years (95%CI = 35.30-36.53) and 35.78±8.54 years (95%CI = 35.19-36.38) respectively. The incidence rate (per 100,000) of uterine fibroids in 2018, 2019, 2020 and 2021 were 66.77 (95% CI = 60.63-72.90), 81.86 (95%CI = 75.19-88.58), 85.60 (95%CI = 78.85-92.35) and 92.40 (95%CI = 85.88-98.92) respectively, with 35-39 age group recording the highest in all years.ConclusionThe incidence rate of uterine fibroids increased as the years progressed and it is mostly high in 35-39 years age category, with a decreasing annual mean age trend indicative of early diagnosis