Yongchai NilanontChulaluk KomoltriGustavo SaposnikRobert CôtéSilvia Di LeggeYaping JinNaraporn PrayoonwiwatNiphon PoungvarinVladimir HachinskiMahidol UniversitySaint Michael's Hospital University of TorontoMcGill University Health Centre, Montreal General HospitalWestern UniversityUniversita degli Studi di Roma Tor Vergata2018-09-242018-09-242010-07-01Cerebrovascular Diseases. Vol.30, No.2 (2010), 120-126101597702-s2.0-77952513178https://repository.li.mahidol.ac.th/handle/20.500.14594/29621Background: The Canadian Neurological Scale (CNS) and the National Institutes of Health Stroke Scale (NIHSS) are among the most reliable stroke severity assessment scales. The CNS requires less extensive neurological evaluation and is quicker and simpler to administer. Objective: Our aim was to develop and validate a simple conversion model from the CNS to the NIHSS. Methods: A conversion model was developed using data from a consecutive series of acute-stroke patients who were scored using both scales. The model was then validated in an external dataset in which all patients were prospectively assessed for stroke severity using both scales by different observers which consisted of neurology residents or stroke fellows. Results: In all, 168 patients were included in the model development, with a median age of 73 years (20-94). Men constituted 51.8%. The median NIHSS score was 6 (0-31). The median CNS score was 8.5 (1.5-11.5). The relationship between CNS and NIHSS could be expressed as the formula: NIHSS = 23 - 2 × CNS. A cohort of 350 acute-stroke patients with similar characteristics was used for model validation. There was a highly significant positive correlation between the observed and predicted NIHSS score (r = 0.87, p < 0.001). The predicted NIHSS score was on average 0.61 higher than the observed NIHSS score (95% CI = 0.31-0.91). Conclusions: The CNS can be reliably converted to the NIHSS using a simple conversion formula: NIHSS = 23 - 2 × CNS. This finding may have a practical impact by permitting reliable comparisons with NIHSS-based evaluations and simplifying the routine assessment of acute-stroke patients in more diverse settings. Copyright © 2010 S. Karger AG, Basel.Mahidol UniversityMedicineNeuroscienceArticleSCOPUS10.1159/000314715