Computed tomography stroke findings and population demographics at Pelonomi Hospital, Bloemfontein
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...
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| Format: | Article |
| Language: | English |
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AOSIS
2016-09-01
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| Series: | South African Journal of Radiology |
| Subjects: | |
| Online Access: | https://sajr.org.za/index.php/sajr/article/view/993 |
| _version_ | 1811302626112831488 |
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| author | Kevin Daffue Gina Joubert Susan Otto |
| author_facet | Kevin Daffue Gina Joubert Susan Otto |
| author_sort | Kevin Daffue |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T07:32:44Z |
| format | Article |
| id | doaj.art-9dfdda6a40464a0c9a86328e274a103d |
| institution | Directory Open Access Journal |
| issn | 1027-202X 2078-6778 |
| language | English |
| last_indexed | 2024-04-13T07:32:44Z |
| publishDate | 2016-09-01 |
| publisher | AOSIS |
| record_format | Article |
| series | South African Journal of Radiology |
| spelling | doaj.art-9dfdda6a40464a0c9a86328e274a103d2022-12-22T02:56:19ZengAOSISSouth African Journal of Radiology1027-202X2078-67782016-09-01201e1e610.4102/sajr.v20i1.993674Computed tomography stroke findings and population demographics at Pelonomi Hospital, BloemfonteinKevin Daffue0Gina Joubert1Susan Otto2Department of Clinical Imaging Sciences, University of the Free StateDepartment of Clinical Imaging Sciences, University of the Free StateDepartment of Biostatistics, University of the Free StateBackground: 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.https://sajr.org.za/index.php/sajr/article/view/993StrokeCerebral ischemiaCerebral haemorrhage Scan timeDemographics |
| spellingShingle | Kevin Daffue Gina Joubert Susan Otto Computed tomography stroke findings and population demographics at Pelonomi Hospital, Bloemfontein South African Journal of Radiology Stroke Cerebral ischemia Cerebral haemorrhage Scan time Demographics |
| title | Computed tomography stroke findings and population demographics at Pelonomi Hospital, Bloemfontein |
| title_full | Computed tomography stroke findings and population demographics at Pelonomi Hospital, Bloemfontein |
| title_fullStr | Computed tomography stroke findings and population demographics at Pelonomi Hospital, Bloemfontein |
| title_full_unstemmed | Computed tomography stroke findings and population demographics at Pelonomi Hospital, Bloemfontein |
| title_short | Computed tomography stroke findings and population demographics at Pelonomi Hospital, Bloemfontein |
| title_sort | computed tomography stroke findings and population demographics at pelonomi hospital bloemfontein |
| topic | Stroke Cerebral ischemia Cerebral haemorrhage Scan time Demographics |
| url | https://sajr.org.za/index.php/sajr/article/view/993 |
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