Soetomo score: score model in early identification of acute haemorrhagic stroke
Aim of the study: On financial or facility constraints of brain imaging, score model is used to predict the occurrence of acute haemorrhagic stroke. Accordingly, this study attempts to develop a new score model, called Soetomo score. Material and methods: The researchers performed a cross-sectiona...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Medical Communications Sp. z o.o.
2016-06-01
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| Series: | Aktualności Neurologiczne |
| Subjects: | |
| Online Access: | http://neurologia.com.pl/index.php/issues/2016-vol-16-no-2/soetomo-score-score-model-in-early-identification-of-acute-haemorrhagic-stroke?aid=873 |
| Summary: | Aim of the study: On financial or facility constraints of brain imaging, score model is used to predict the occurrence of acute
haemorrhagic stroke. Accordingly, this study attempts to develop a new score model, called Soetomo score. Material and
methods: The researchers performed a cross-sectional study of 176 acute stroke patients with onset of ≤24 hours who visited
emergency unit of Dr. Soetomo Hospital from July 14th to December 14th, 2014. The diagnosis of haemorrhagic stroke was
confirmed by head computed tomography scan. There were seven predictors of haemorrhagic stroke which were analysed
by using bivariate and multivariate analyses. Furthermore, a multiple discriminant analysis resulted in an equation of
Soetomo score model. The receiver operating characteristic procedure resulted in the values of area under curve and
intersection point identifying haemorrhagic stroke. Afterward, the diagnostic test value was determined. Results:
The equation of Soetomo score model was (3 × loss of consciousness) + (3.5 × headache) + (4 × vomiting) − 4.5. Area under curve value of this score was 88.5% (95% confidence interval = 83.3–93.7%). In the Soetomo score model value of ≥−0.75, the score reached the sensitivity of 82.9%, specificity of 83%, positive predictive value of 78.8%, negative predictive value of 86.5%, positive likelihood ratio of 4.88, negative likelihood ratio of 0.21, false negative of 17.1%, false positive of 17%, and
accuracy of 83%. Conclusions: The Soetomo score model value of ≥−0.75 can identify acute haemorrhagic stroke properly
on the financial or facility constrains of brain imaging. |
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| ISSN: | 1641-9227 2451-0696 |