Validation study of the Siriraj Stroke score in African Nigerians and evaluation of the discriminant values of its parameters: a preliminary prospective CT scan study.
OBJECTIVE
CT scanning is important to identify stroke pathology and exclude mimics. Its poor availability in our environment makes the search for simple, reliable clinical-score imperative. This study aims to validate the Siriraj Stroke score (SSS) and determine the discriminant values of its parameters in the black population of African-Nigerians.


METHODS
A prospective multicenter study was carried out on patients that presented with stroke and had brain CT scan done within 14 days of onset. An interviewer structured questionnaire was administered and SSS computed. The stroke-type was classified and compared with CT diagnosis. Data were analyzed using Epi-info-2002.


RESULTS
1122 patients presented with clinical features of stroke, of which only 101 (9%) could afford the cost of CT scan. Of these, 90 had CT-scan features consistent with acute stroke, 5 had cortical atrophy and 1 was normal. Thus, 96 patients were analyzed, of which 68 (71%) had cerebral ischemia and 28 (29%) had intracerebral hemorrhage. The 6 patients with no visible infarct on CT were regarded as cerebral infarction. The correlation between SSS, headache, vomiting, loss-of-consciousness and CT diagnosis achieved statistical significance, whereas atheroma markers and diastolic blood pressure did not. The SSS has an overall predictive accuracy of 80%.


CONCLUSIONS
This preliminary study has shown that only 9% of our hospital stroke population had benefit of CT scan. The limited number of patients studied and their potential lack of representativeness, represent a funding issue to properly establish the performance of clinical scoring systems and assist in descriptive epidemiology of hospital and community-based stroke studies in resource-poor settings. However, in this study, the SSS diagnosis correlates significantly with CT diagnosis.
Kolapo
Kehinde O
KO
Department of Medicine, Ogun State University Teaching Hospital, Sagamu, Ogun State, Nigeria. P.O.Box 1333 Ikorodu, Lagos state, Nigeria.
Ogun
Shamsideen A
SA
Danesi
Mustapha A
MA
Osalusi
Bamidele Sanya
BS
Odusote
Kayode A
KA
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D044383:Black People / Q000706:statistics & numerical data*; D002543:Cerebral Hemorrhage / Q000000981:diagnostic imaging; D002544:Cerebral Infarction / Q000000981:diagnostic imaging; D003937:Diagnosis, Differential; D016002:Discriminant Analysis; D005260:Female; D017048:Health Care Costs; D006801:Humans; D008297:Male; D008875:Middle Aged; D009549:Nigeria; D011446:Prospective Studies; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D020521:Stroke / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D011795:Surveys and Questionnaires; D014057:Tomography, X-Ray Computed / Q000191:economics