Prognostic Factors for Mortality by Ischemic Stroke at the Treichville University Hospital in Abidjan
- 1 Department of Internal Medicine and Digestive Endoscopy, Treichville Teaching Hospital, Medical Sciences Training of Research Unit, Félix Houphouët Boigny University, Abidjan, Côte d’Ivoire
- 2 Department of Internal Medicine and Digestive Endoscopy, Treichville Teaching Hospital, Medical Sciences Training of Research Unit, Félix Houphouët Boigny University, Abidjan, Côte d’Ivoire
- 3 Department of Internal Medicine and Digestive Endoscopy, Treichville Teaching Hospital, Medical Sciences Training of Research Unit, Félix Houphouët Boigny University, Abidjan, Côte d’Ivoire
- 4 Department of Internal Medicine, Nephrology, Hemodialysis, Bouaké Teaching Hospital, Bouaké, Côte d’Ivoire
- 5 Department of Internal Medicine and Digestive Endoscopy, Treichville Teaching Hospital, Medical Sciences Training of Research Unit, Félix Houphouët Boigny University, Abidjan, Côte d’Ivoire
- 6 Department of Internal Medicine and Digestive Endoscopy, Treichville Teaching Hospital, Medical Sciences Training of Research Unit, Félix Houphouët Boigny University, Abidjan, Côte d’Ivoire
- 7 Medical Sciences Training and Research Unit, Alassane Ouattara University, Abidjan, Côte d’Ivoire
- 8 Medical Sciences Training and Research Unit, Alassane Ouattara University, Abidjan, Côte d’Ivoire
- 9 Medical Sciences Training and Research Unit, Alassane Ouattara University, Abidjan, Côte d’Ivoire
- 10 Medical Sciences Training and Research Unit, Alassane Ouattara University, Abidjan, Côte d’Ivoire
- 11 Department of Nephrology, CHU Kara, University of Kara, Kara, Togo
Abstract
Objectives: This paper aims to determine the predictive factors of mortality from ischemic stroke in the internal medicine and neurology departments of the Treichville University Hospital. Materials and Methods : This was a retrospective, descriptive and analytical cross-sectional study over one year concerning patients hospitalized for an ischemic stroke and therefore the evolution at the end of hospitalization was known. The data were collected on a survey form and the EPI-INFO 7 software was used for statistical analysis. The variables were first compared with the Chi-Square or Fischer tests and then the logistic regression test. Results: A total of 120 patients were recruited. Their age mean was 60 years with a male predominance (55.87%). The mean admission time was eight days. Cardiovascular risk factors were dominated by high blood pressure (72%), history of stroke (63%), and diabetes (36%). Impaired consciousness was the most common clinical sign. The fatality rate of stroke was 24.11%. Factors associated with death were history of stroke (0.023), Glasgow score less than 13 (P = 0.023), length of stay greater than 20 days (P = 0.01), and aspiration pneumonia (0.004). After logistic regression, only history of stroke (OR = 7.77) and prolonged stay (OR = 14.43) were independently associated with mortality from stroke. Conclusion: The analysis of predictive factors of mortality allows a better understanding of the management of this condition on a national scale. The burden of stroke remains heavy for our states. Management in intensive care units as well as prevention of stroke recurrence are decisive for improving the prognosis.
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