Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

medicine

Post stroke cognitive impairment in Douala (Cameroon)

African Journal of Neurological Sciences, Volume 36, No. 2, Year 2017

Background Cognitive impairment (CI) are possible sequelae after stroke. Data on post stroke CI in Sub Saharan Africa are scarce. Objective To assess post stroke CI at the Douala General Hospital (DGH). Method We carried out a cross-sectional study at the Neurology Unit of the DGH over a period of 6 months. Were included in the study, all patients above 15 years old with a first episode of stroke confirmed by brain imaging since at least 3 months back, and followed at the DGH. We excluded any patient with prior CI before the stroke onset, or/and with any other condition which may explain CI. Patients with subarachnoid haemorrhage or cerebral venous thrombosis were also excluded. Diagnosis of CI was made using the MMSE and the DSM IV criteria was used to confirm dementia. Data was analyzed using SPSS Version 20. The Student T test and the Chi-2 test were used to compare quantitative and qualitative variables, respectively. Factors associated and predicted of CI post stroke were identifying using logistic regression. The statistical significance was set at p < 0.05. Results A total of 114 stroke patients were included with 51.8% being male and the mean age was 57.2 ± 9.9 years. The major cerebrovascular risk factor was hypertension (73.2%) and 51.8% of patients had attended at least secondary school. Ischemic stroke accounted for 63.9%. The prevalence of CI was 41.2%. Cognitive disorders were categorized as mild (26.3%), moderate (8.8%), and severe (dementia) (6.1%). Factors associated with CI were female gender (P = 0.02), education level < 7 years (P<0.001), lack of occupation (P=0.005) and cardiopathy (P=0.04). After multivariate analysis, only the educational level < 7 years was independently associated with CI (OR 12.42, CI [3.3 to 46.6]; P < 0.001). Conclusion The prevalence of post stroke CI at the DGH is high. Only the low level of education appeared to be an independent predictor of post stroke CI in this study.
Statistics
Citations: 6
Authors: 6
Affiliations: 4
Identifiers
ISSN: 10158618
e-ISSN: 19922647
Research Areas
Health System And Policy
Mental Health
Noncommunicable Diseases
Study Design
Cross Sectional Study
Study Approach
Qualitative
Quantitative
Study Locations
Cameroon
Participants Gender
Male
Female