A BS TRACT: Background: The growing burden of Parkinson's disease (PD) in Africa necessitates the identification of available therapies and services to improve patient care.
Background
Central nervous system (CNS) infections are serious and debilitating diseases with significant mortality, and high prevalence in the context of human immunodeficiency virus (HIV) pandemic in Africa. However, their diagnosis remains challenging due to outdated technical platform. We aimed to determine the frequency of CNS infection and to describe the epidemiological, clinical and outcome of this at the Douala General Hospital (DGH), Cameroon. To carry out this study, we collected the medical records of patients hospitalized for CNS infections in the internal medicine department of DGH from January 2015 to December 2019.
Results
Among 8430 files reviewed, 336 cases of CNS infection were identified giving a frequency of CNS infection of 3.99% among which 204 files were included in the study (54.4% were male). HIV infection was found in 147 patients (72.1%) with 38.1% (n = 56) of them on regular follow-up. The most common clinical signs were fever (84.8%), headache (68.6%), meningeal syndrome (38.7%), and seizures (36.3%). Cerebral toxoplasmosis (24.5%), cryptococcal meningitis (21.1%), and acute bacterial meningitis (8.3%) were leading aetiologies. Of the 143 CSF samples, 70.6% (n = 101) were sterile. The in-hospital mortality rate was 23.5% with CNS infection of unknown cause (22.1%) be independently associated to this [OR = 2.24; 95% CI 1.04–4.80, p = 0.039].
Conclusion
Clinical presentations of CNS infections are same with classical data. HIV-related opportunistic infections are the main aetiologies. About one over four patients with CNS died. Two thirds of CSF are sterile using basic laboratory assessment giving a need to identify simple tests to increase sensibility and specificity of diagnostic tools in our setting.
Background
Brain tumors represent group of neoplasms originating from intracranial tissues and the meninges. The aim of this study was to determine the epidemiological profile of brain tumors seen in a referral health center in Cameroon. We carried out a 10-year retrospective study in the neurosurgical, neurology, pathology, oncology and radiotherapy units of our hospital.
Results
We found 150 complete case files accounting for 0.7% of total admissions in the various units. Males accounted for 50.7% of the cases. Children less than 14 years represented 12.7% of cases (n = 19). Primary brain tumors constituted 92% (n = 138). Most patients with primary brain tumors were between 25 and 54 years of age, making up 57% of cases (n = 79). The most prevalent histological type of brain tumor was meningioma (26%, n = 39), followed by astrocytoma (24.7%, n = 37), and pituitary adenomas (18%, n = 27). The majority of cases presented with signs of raised intracranial pressure with headache being the most frequent symptom (88%). Some patients presented with seizures (34%), neurological deficit (13%), visual disturbances (10%), and cognitive disorders (7%).
Conclusion
Young adults represent the most affected age group. Meningioma, astrocytoma and pituitary adenomas were the most frequent brain tumors in adults. Further studies are needed to assess the long-term outcome of patients with BTs.
Background: Post-stroke outcomes are poorer in patients with diabetes mellitus (DM). The aim of this study was to determine the prevalence of DM in acute stroke and to compare the outcome in patients with or without diabetes in a tertiary care hospital in Douala, Cameroon. Methods: This was a hospital-based prospective cohort study included both diabetic and non-diabetic acute stroke patients (ASP). Demographic, clinical profile and outcome data was collected within 3 months of stroke onset. Descriptive statistics, t-test and chi square test used for comparisons while associations between DM and stroke outcomes, were analyzed using multiple logistic regression and survival analysis. Results: Of the 701 ASP included, the overall prevalence of diabetes in stroke was 34.2% (n = 240) while 9.4% (n = 66) had newly diagnosed diabetes. Mortality was significantly elevated amongst patients with diabetes during hospitalization (p = 0.034) and at 3 months post stroke onset (p = 0.004), but on multivariate analysis, diabetes was not an independent predictor of mortality [OR = 0.984; (95% CI: 0.506 -1.913); p = 0.961)]. On Cox proportional hazards regression model, the risk of dying was about 1.5 times higher amongst the DM patients compared to non-diabetic patients [adjusted HR (95% CI) of 1.502 (1.128 -2.000); p = 0.005]. Diabetes was not an independent predictor of poor functional outcome within 3 months post stroke. Conclusion: About 1 in 3 ASP had DM on admission. Survival is better in non-diabetes versus diabetes mellitus ASP. DM was associated with high mortality but does not influence the functional outcome of ASP in our setting.
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