Sociodemographic Profile and Prehospital Pathway of Patients Admitted for Acute Stroke in the Emergency Department of the Brazzaville University Hospital Center
Introduction: Stroke represents a major public health challenge because of its high morbidity and mortality. It requires urgent management, which remains limited in low-resource settings due to the absence of a structured stroke care pathway, thereby hindering optimal stroke management and prevention. Objective: To describe the sociodemographic profile and prehospital pathway of stroke patients admitted to the Emergency Department of Brazzaville University Hospital Center (CHUB). PatientsandMethods: A descriptive cross-sectional study with prospective data collection was conducted over a three-month period in the Emergency Department of CHUB. Included were patients aged 18 years and older, admitted for stroke confirmed by brain imaging within 72 hours after symptom onset. Study variables included sociodemographic characteristics and data related to the prehospital pathway. Results: Among the 2753 patients admitted during the study period, stroke was suspected in 200 patients and imaging-confirmed in 164 cases. The mean age was 61.31 ± 13.21 years, with a male predominance (60%). Most patients were single (54.88%), had primary-level education (58.54%), and belonged to a low socioeconomic group (57.93%). The prehospital pathway was mainly characterized by direct admission from home (62.19%), whereas 37.81% of patients were referred from another healthcare facility. Taxi was the predominant mode of transportation (78.04%). Regarding admission delays, 13.79% of ischemic stroke patients were managed within 4.5 hours of symptom onset, while 33.70% of hemorrhagic stroke patients were admitted within 24 hours. Conclusion: Stroke mainly affects socially disadvantaged patients and remains characterized by prolonged admission delays and reliance on non-medicalized transport. Improving the prehospital pathway is a major lever for achieving earlier and more effective stroke care.
References
[1]
World Health Organization—Regional Office for the Eastern Mediterranean (WHO EMRO). Stroke, Cerebrovascular Accident. https://www.emro.who.int/health-topics/stroke-cerebrovascular-accident/
[2]
Adoukonou, T.A., Vallat, J.M., Joubert, J., Macian, F., Kabore, R., Magy, L., et al. (2010) Prise en charge des accidents vasculaires cérébraux en Afrique subsaharienne. RevueNeurologique, 166, 882-893. https://doi.org/10.1016/j.neurol.2010.06.004
[3]
WHO (2008) Closing the Gap in a Generation: Health Equity through Action on the Social Determinants of Health—Final Report of the Commission on Social Determinants of Health. https://www.who.int/publications/i/item/WHO-IER-CSDH-08.1
[4]
Vemmos, K.N. (2000) Prognosis of Stroke in the South of Greece: 1 Year Mortality, Functional Outcome and Its Determinants: The Arcadia Stroke Registry. Journal of Neurology, Neurosurgery & Psychiatry, 69, 595-600. https://doi.org/10.1136/jnnp.69.5.595
[5]
O’Donnell, M.J., Chin, S.L., Rangarajan, S., Xavier, D., Liu, L., Zhang, H., et al. (2016) Global and Regional Effects of Potentially Modifiable Risk Factors Associated with Acute Stroke in 32 Countries: A Case-Control Study. The Lancet, 388, 761-775. https://doi.org/10.1016/s0140-6736(16)30506-2
[6]
Kouakou N’goran, Y.N., Traore, F., Tano, M., Kramoh, K.E., Kakou, J.A., Konin, C., et al. (2015) Aspects épidémiologiques des accidents vasculaires cérébraux (AVC) aux urgences de l’institut de cardiologie d’Abidjan (ICA). Pan African Medical Journal, 21, Article 160. https://doi.org/10.11604/pamj.2015.21.160.6852
[7]
Damorou, F., Togbossi, E., Pessinaba, S., Klouvi, Y., et al. (2008) Accidents vasculaires cérébraux (AVC) et affections cardio-vasculaires emboligènes. Le Mali medical, 23, Article 33.
[8]
Hajat, C., Dundas, R., Stewart, J.A., Lawrence, E., Rudd, A.G., Howard, R., et al. (2001) Cerebrovascular Risk Factors and Stroke Subtypes, Differences between Ethnic Groups. Stroke, 32, 37-42. https://doi.org/10.1161/01.str.32.1.37
[9]
Feigin, V.L., Stark, B.A., Johnson, C.O., Roth, G.A., Bisignano, C., Abady, G.G., et al. (2021) Global, Regional, and National Burden of Stroke and Its Risk Factors, 1990-2019: A Systematic Analysis for the Global Burden of Disease Study 2019. The Lancet Neurology, 20, 795-820. https://doi.org/10.1016/s1474-4422(21)00252-0
[10]
Sra?ri, J. and Filali-Ansary, A. (2000) Cardiopathies emboligènes et AVCI. Revue Espérance Médicale, 61, Article 242.
[11]
Goyal, M., Menon, B.K., van Zwam, W.H., Dippel, D.W.J., Mitchell, P.J., Demchuk, A.M., et al. (2016) Endovascular Thrombectomy after Large-Vessel Ischaemic Stroke: A Meta-Analysis of Individual Patient Data from Five Randomised Trials. TheLancet, 387, 1723-1731. https://doi.org/10.1016/s0140-6736(16)00163-x
[12]
Sagui, E. (2007) Les accidents vasculaires cérébraux en Afrique subsaharienne. Journal of Tropical Medicine, 67, 596-600.
[13]
Sule, A.K., Adebiyi, A.T., Olorunfemi, G., et al. (2021) Factors Influencing the Outcome of Acute Stroke in an African Population. Journal of Stroke and Cerebrovascular Diseases, 30, Article 105623.
[14]
Whiteley, W., McKinney, J., MacLullich, A., et al. (2017) The Association between Ambulance Transport and Stroke Mortality: A Cohort Study. British Medical Journal, 359, j5108.
[15]
Kakame, K.T., Nakibuuka, J., Mukiza, N., Andia-Biraro, I., Kaddumukasa, M., Burant, C., et al. (2023) Prevalence and Factors Associated with Pre-Hospital Delay among Acute Stroke Patients at Mulago and Kiruddu National Referral Hospitals, Kampala: A Cross-Sectional Study. BMC Neurology, 23, Article No. 381. https://doi.org/10.1186/s12883-023-03413-1
[16]
Ganeti, D.D., Dulo, A.O., Ilala, B.W., Benti, N.B., Diriba, M., Abdulwehab, S., et al. (2025) Prehospital Delay and Associated Factors among Stroke Patients in Africa: A Systematic Review and Meta-Analysis. PLOS ONE, 20, e0326323. https://doi.org/10.1371/journal.pone.0326323
[17]
Kazadi Kabanda, I., Kiangebeni Ngonzo, C., Emeka Bowamou, C., Divengi Nzambi, J., Kiatoko Ponte, N., Tuyinama Madoda, O., et al. (2024) Stroke Signs Knowledge and Factors Associated with a Delayed Hospital Arrival of Patients with Acute Stroke in Kinshasa. Heliyon, 10, e28311. https://doi.org/10.1016/j.heliyon.2024.e28311
[18]
Campbell, B.C., Mitchell, P.J., Yan, B., Farago, G., Parsons, M.W., Desmond, P.M., etal. (2019) Extending Thrombolysis to 4·5–9 H and Wake-Up Stroke Using Perfusion Imaging: A Systematic Review and Meta-Analysis of Individual Patient Data. TheLancet, 394, 139-147. https://doi.org/10.1016/s0140-6736(19)31053-0
[19]
Emberson, J., Lees, K.R., Lyden, P., Blackwell, L., Albers, G., Bluhmki, E., et al. (2014) Effect of Treatment Delay, Age, and Stroke Severity on the Effects of Intravenous Thrombolysis with Alteplase for Acute Ischaemic Stroke: A Meta-Analysis of Individual Patient Data from Randomised Trials. TheLancet, 384, 1929-1935. https://doi.org/10.1016/s0140-6736(14)60584-5