Journals / Eurasian Journal of Emergency Medicine / 2022 / Cilt: 21 - Sayı: 1

Comparison of Siriraj Stroke Score with Computed Tomography to Differentiate Acute Embolic and Hemorrhagic Stroke in a Tertiary Care-Teaching Center

Pages
62–67
Publication Date
2022-10-11
DOI
—
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

The SSS had excellent predictive validity in predicting CT findings, as indicated by the area under the curve of 0.994 (95% CI 0.983 to 1.000, p value

📌 3 Key Takeaways

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Objective & Hypothesis:Aim: The study aimed to compare Siriraj Stroke Score (SSS) with computed tomography (CT) in differentiating stroke subtypes.
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Key Findings & Data:The sensitivity, specificity, predictive values, and diagnostic accuracy of the screening test, along with their 95% confidence interval (CI), were presented.
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Conclusion & Impact:The SSS had excellent predictive validity in predicting CT findings, as indicated by the area under the curve of 0.994 (95% CI 0.983 to 1.000, p value
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Aim: The study aimed to compare Siriraj Stroke Score (SSS) with computed tomography (CT) in differentiating stroke subtypes. Materials and Methods: This cross-sectional study consists of eighty consecutive patients admitted to the emergency department of the tertiary care-teaching center within four hours of the onset of stroke. A single experienced emergency medicine physician observed the patients for Siriraj score. An independent radiologist analyzed the CT of the patients who were not aware of the clinical condition. CT findings were considered the gold standard. Siriraj score findings were considered as a screening test. The sensitivity, specificity, predictive values, and diagnostic accuracy of the screening test, along with their 95% confidence interval (CI), were presented. Results: A total of 80 subjects were included in the study. The mean age of the participants was 56.4 years, with the majority being males (58.8%). The sensitivity and specificity for SSS were 96.92% and 90.91%, respectively. The SSS had excellent predictive validity in predicting CT findings, as indicated by the area under the curve of 0.994 (95% CI 0.983 to 1.000, p value

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Cite This Article

RAJKUMAR, R. K., CHİDAMBARAM, H. H., DOMİNİC, M., VP, C., PADMANABHAN, K. N., SİRAJUDEEN, S. A. (2022). Comparison of Siriraj Stroke Score with Computed Tomography to Differentiate Acute Embolic and Hemorrhagic Stroke in a Tertiary Care-Teaching Center. Eurasian Journal of Emergency Medicine, Cilt: 21 - Sayı: 1, 62–67. https://ajindex.com/articles/507892

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References (15)

  1. Kamalakannan S, Gudlavalleti ASV, Murthy Gudlavalleti VS, Goenka S, Kuper H. Incidence & prevalence of stroke in India: A systematic review. Indian J Med Res. 2017;146:175-85
  2. Kuller LH. Epidemiology of stroke. Adv Neurol. 1978;19:281-311
  3. Broderick J, Connolly S, Feldmann E, Hanley D, Kase C, Krieger D, et al. Guidelines for the management of spontaneous intracerebral hemorrhage in adults: 2007 update: a guideline from the American Heart Association/ American Stroke Association Stroke Council, High Blood Pressure Research Council, and the Quality of Care and Out. Circulation. 2007;38:2001-23
  4. Vuadens P, Bogousslavsky J. Diagnosis as a guide to stroke therapy. Lancet. 1998;352:5-9
  5. Sandercock P, Molyneux A, Warlow C. Value of computed tomography in patients with stroke: Oxfordshire Community Stroke Project. Br Med J (Clin Res Ed). 1985;290:193-7
  6. Poungvarin N, Viriyavejakul A, Komontri C. Siriraj stroke score and validation study to distinguish supratentorial intracerebral haemorrhage from infarction. Br Med J. 1991;302:1565-7
  7. Allen CMC. Clinical diagnosis of the acute stroke syndrome. Q J Med. 1983;52:515-23
  8. Besson G, Robert C, Hommel M, Perret J. Is it clinically possible to distinguish nonhemorrhagic infarct from hemorrhagic stroke? Stroke. 1995;26:1205-9
  9. Efstathiou SP, Tsioulos DI, Zacharos ID, Tsiakou AG, Mitromaras AG, Mastorantonakis SE, et al. A new classification tool for clinical differentiation between haemorrhagic and ischaemic stroke. J Intern Med. 2002;252:121-9
  10. Connor MD, Modi G, Warlow CP. Accuracy of the Siriraj and Guy’s Hospital Stroke Scores in urban South Africans. Stroke. 2007;38:62-8
  11. Mwita CC, Kajia D, Gwer S, Etyang A, Newton C. Accuracy of clinical stroke scores for distinguishing stroke subtypes in resource poor settings: A systematic review of diagnostic test accuracy. J Neurosci Rural Pract. 2014;5:330-9
  12. Hui ACF, Wu B, Tang ASY, Kay R. Lack of clinical utility of the Siriraj Stroke Score. Intern Med J. 2002;32:311-4
  13. Weir CJ, Muir K, Grosset DG, Lees KR, Murray GD, Adams FG. Poor accuracy of stroke scoring systems for differential clinical diagnosis of intracranial haemorrhage and infarction. Lancet. 1994;344:999-1002
  14. World Health Organisation MONICA Project Principal Investigators. The World Health Organization MONICA Project (Monitoring Trends and Determinants in Cardiovascular Disease): A Major International Collaboration. J Clin Epidemiol. 1988;41:105-14
  15. BDSS Corp. R