Original Research

Computed tomography stroke findings and population demographics at Pelonomi Hospital, Bloemfontein

Kevin Daffue, Gina Joubert, Susan Otto
South African Journal of Radiology | Vol 20, No 1 | a993 | DOI: https://doi.org/10.4102/sajr.v20i1.993 | © 2016 Kevin Daffue, Gina Joubert, Susan Otto | This work is licensed under CC Attribution 4.0
Submitted: 23 February 2016 | Published: 22 September 2016

About the author(s)

Kevin Daffue, Department of Clinical Imaging Sciences, University of the Free State, South Africa
Gina Joubert, Department of Clinical Imaging Sciences, University of the Free State, South Africa
Susan Otto, Department of Biostatistics, University of the Free State, South Africa


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Abstract

Background: Stroke remains the highest cause of death in patients more than 50 years old in South Africa, and the fourth highest cause of death overall. There is a paucity of information regarding this disease in the Free State Province.

Objectives: To assess the stroke profile of patients referred for computed tomography (CT) imaging to our institution along with evaluating factors that could improve stroke management.

Method: The demographic information, stroke risk factors, stroke types and time to imaging were evaluated for all patients who presented for CT stroke imaging from July 2014 until July 2015. Information was gathered prospectively from the hospital and radiology information systems.

Results: The study included 174 patients (53.5% female, 46.5% male). Their mean age was 59 years (standard deviation (SD) 14.6). The most prevalent risk factors were hypertension (83.7%), smoking (20.5%) and diabetes (15.0%). The population group consisted of 67.8% ischaemic (n = 118) and 32.2% (n = 56) haemorrhagic strokes. The majority of patients with a known time of symptom onset (n = 102) presented after 8 hours (82.4%). The median order to report time (ORT) was 61 min (range 18 min–1361 min). The median arrival to report time (ART) was 32 min (range 4 min–893 min).

Conclusion: Our stroke population did not differ significantly from others in South Africa and Africa overall. Pre- and in-hospital delays significantly influenced patient numbers qualifying for thrombolysis.


Keywords

Stroke; Cerebral ischemia; Cerebral haemorrhage Scan time; Demographics

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Crossref Citations

1. A retrospective analysis of time delays in patients presenting with stroke to an academic emergency department
Diteboho Khalema, Lara N. Goldstein, Susan Lucas
South African Journal of Radiology  vol: 22  issue: 1  year: 2018  
doi: 10.4102/sajr.v22i1.1319