Sahel Medical Journal (Jan 2016)

Adult stroke registry in West Africa: Profile of 334 in-patients in the University of Benin Teaching Hospital, Benin City, Nigeria

  • Frank Aiwansoba Imarhiagbe,
  • E Ogbeide,
  • A O Ogunrin

DOI
https://doi.org/10.4103/1118-8561.181888
Journal volume & issue
Vol. 19, no. 1
pp. 12 – 15

Abstract

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Background: Profiling of stroke types in sub-Saharan Africa until recently has been done in part with the clinical diagnosis, where neuroimaging is not affordable or accessible. Objective: To profile all first-ever stroke using cranial computed tomography (CT) scan. Methods: Three hundred and thirty-four first-ever stroke had demographic data as well as the duration of admission or time to event (outcome), stroke type and severity, volume of hemorrhage in cases of parenchymal hemorrhage captured from the stroke unit register. Operationally outcome was defined as discharge to follow-up or discharge against medical advice (DAMA) or all-cause in-hospital mortality, stroke type was defined by cranial CT as cerebral infarct or intracerebral hemorrhage (ICH) or subarachnoid hemorrhage. Stroke severity was defined by the Canadian Neurological Scale (CNS) and the National Institutes of Health Stroke Score (NIHSS). Data were analyzed as appropriate. Results: Mean age was 62.63 ± 14.90 years, comprising 190 (56.9%) males and 144 (43.1%) females. Mean duration of admission was 12.91 ± 11.38 days. Totally, 251 had cerebral infarct (75.15%), 81 (24.25%) had ICH, 2 (0.60%) had subarachnoid hemorrhage. A total of 177 (51.19%) were discharged to follow-up, 15 (4.50%) were DAMA with acute case fatality of 148 (44.31%). Mean CNS score was 2.85 ± 2.57 and mean NIHSS was 17.29 ± 5.15. Age, time to outcome and NIHSS were the predictors of outcome (survival or discharged to follow-up and all-cause mortality) (odds ratio [OR] =1.043, P = 0.016, OR = 0.923, P = 0.001, OR = 2.467, P < 0.001 respectively) and NIHSS was the only predictor of survival (hazard ratio = 0.872, P < 0.001). Conclusion: This neuroimaging profiling of acute stroke type and outcome is expected to be an improvement over reviews based largely on the presumptive diagnosis.

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