Predictors and Conversion Rate of Clinically Isolated Syndrome to Clinically Definite Multiple Sclerosis: A Follow-up Study in Patients Living in the Southern Part of Iran

• Published in: Caspian journal of neurological sciences Vol. 6; no. 1; pp. 9 - 15
• Main Authors: Izadi, Sadegh, Ahmadi, Meysam, Poursadeghfard, Maryam
• Format: Journal Article
• Language: English
• Published: Guilan University of Medical Sciences 01.03.2020
• Subjects: demyelinating disease; multiple sclerosis (ms); risk factors
• ISSN: 2383-4307; 2423-4818
• DOI: 10.32598/CJNS.6.20.200.3

Background: Clinical course of Clinically Isolated Syndrome (CIS) is variable, and identifying patients who will eventually develop Multiple Sclerosis (MS) is essential. Objectives: To assess the conversion rate of CIS to Clinically Definite Multiple Sclerosis (CDMS) and its predictors in southern Iran. Materials & Methods: A total of 143 CIS patients registered to Fars Multiple Sclerosis Society (FMSS) were enrolled in the study from 2006 until 2012, and all of them were followed for 5 years. Also, their demographic and MRI data were recorded. The obtained data were analyzed by univariate and multivariable Cox regression models in SPSS v. 17. P<0.05 was considered statistically significant. Results: About 26.6% of patients progressed to MS after a mean duration of 3.4±1.1 years. The conversion rate was 27.6% in patients presented with optic neuritis, and 25.6% in patients presented with spinal cord problems. Although it was not statistically significant (P=0.23), the mean age of the patients who converted to MS was lower at the onset of the presentation (27.6 vs. 29.4 years). In patients who had 3 or more MRI lesions, the conversion rate was 49.2%; however, it was only 9.8% in subjects who had fewer than 3 lesions (OR=8.95, 95% CI=3.69–21.7, P <0.001). Women had higher conversion rate though it was not statistically significant (OR=2.09, 95% CI=0.57–7.64, P=0.26). Conclusion: Our results supported this supposition that the number of MRI lesions at baseline can be used as a predictor of CIS conversion to MS.