title: Lack of clinical utility of the Siriraj Stroke Score.
abstract: BACKGROUND
  The ability to distinguish between infarct and haemorrhage is essential to the management of acute cerebrovascular disease. In hospitals where emergency neuroimaging is not available, the use of stroke scores has been proposed to distinguish ischaemic from haemorrhagic stroke.
  
  
  OBJECTIVE
  To determine the accuracy of the Siriraj Stroke Score in distinguishing ischaemic from haemorrhagic stroke in a cohort of Chinese patients.
  
  
  METHODS
  We prospectively assessed and calculated the Siriraj Stroke Score from 253 patients with acute stroke. The sensitivity, specificity, positive and negative predictive values of this score were determined.
  
  
  RESULTS
  For cerebral haemorrhage, the sensitivity and specificity were both 90% or above, but the positive predictive value was not greater than 70%. For cerebral infarct, the sensitivity and specificity were around 80%, while the positive predictive value exceeded 90%. Analysis by plotting receiver operating characteristic curves failed to find other cut-off points that would improve the performance of the Siriraj Stroke Score.
  
  
  CONCLUSIONS
  Considering the inconsistent results from this study and previous studies of the Siriraj Stroke Score, we suggest that scoring systems that only require a small number of variables are unlikely to achieve the level of accuracy needed for clinical decision-making.
authors.affiliation: Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR. cfhui@cuhk.edu.hk
authors.forename: A C F
authors.initials: AC
authors.lastname: Hui
authors.forename: B
authors.initials: B
authors.lastname: Wu
authors.forename: A S Y
authors.initials: AS
authors.lastname: Tang
authors.forename: R
authors.initials: R
authors.lastname: Kay
mesh_terms: D000208:Acute Disease; D000368:Aged; D002545:Brain Ischemia / Q000150:complications / Q000175:diagnosis*; D002543:Cerebral Hemorrhage / Q000150:complications / Q000175:diagnosis*; D002544:Cerebral Infarction / Q000175:diagnosis / Q000209:etiology*; D002681:China / Q000453:epidemiology; D003937:Diagnosis, Differential; D016002:Discriminant Analysis; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009460:Neurologic Examination / Q000592:standards*; D011237:Predictive Value of Tests; D011446:Prospective Studies; D012372:ROC Curve; D012044:Regression Analysis; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index