Factors predicting incomplete recovery from relapses in multiple sclerosis: a prospective study.

OBJECTIVE: To prospectively evaluate predictors of incomplete recovery after the first attacks in a cohort of patients with clinically isolated syndrome or relapsing-remitting multiple sclerosis. METHODS: Seventy-two consecutive patients recruited from January 2001 to December 2003, evaluated every six months or at any relapse up to 31 July 2005. Relapse intervals were calculated from the date of onset, nadir, onset of improvement and maximum improvement. Predictive factors analysed were relapse-related (age at relapse onset, season and severity of the relapse, type of symptoms, speed of onset, plateau and total duration, number of affected Functional systems, preceding infections) and individual-related (gender, age at first attack, season of birth and first attack, characteristics of first brain MRI and cerebrospinal fluid oligoclonal bands, Link Index, IgG). RESULTS: We counted 209 attacks: 44 (21%) left mild sequelae, and 27 (13%) severe. The highest probability of sequelae was associated with sphincteric symptoms (9/20; 45%), followed by sensitive (38/113; 34%), motor (20/84; 24%), visual (13/61; 21%), cerebellar (4/24; 17%), brainstem (5/44; 11%) and others (0/6) ( P 0.005). Four variables were still relevant to predict sequelae after multivariate analysis: mild, moderate or severe relapses versus very mild (Odds ratio = 17.2, 95% confidence limits = 2.2-136.4), intermediate or long relapses versus short (3.2, 1.5-6.9), age >or= 30 at relapse onset (2.9, 1.5-5.7) and bi-polysymptomatic versus monosymptomatic (2.2, 1.1-4.3). CONCLUSIONS: Factors predicting incomplete recovery are more closely linked to the characteristics of the single relapse (extension and duration of tissue damage) than to the patient's genetic and environmental background.

Multiple Sclerosis Severity Score: using disability and disease duration to rate disease severity.

BACKGROUND: There is no consensus method for determining progression of disability in patients with multiple sclerosis (MS) when each patient has had only a single assessment in the course of the disease. METHODS: Using data from two large longitudinal databases, the authors tested whether cross-sectional disability assessments are representative of disease severity as a whole. An algorithm, the Multiple Sclerosis Severity Score (MSSS), which relates scores on the Expanded Disability Status Scale (EDSS) to the distribution of disability in patients with comparable disease durations, was devised and then applied to a collection of 9,892 patients from 11 countries to create the Global MSSS. In order to compare different methods of detecting such effects the authors simulated the effects of a genetic factor on disability. RESULTS: Cross-sectional EDSS measurements made after the first year were representative of overall disease severity. The MSSS was more powerful than the other methods the authors tested for detecting different rates of disease progression. CONCLUSION: The Multiple Sclerosis Severity Score (MSSS) is a powerful method for comparing disease progression using single assessment data. The Global MSSS can be used as a reference table for future disability comparisons. While useful for comparing groups of patients, disease fluctuation precludes its use as a predictor of future disability in an individual.

Churg-Strauss syndrome associated with the leukotriene antagonist montelukast.

Churg-Strauss syndrome (CSS) is a disseminated small vessel vasculitis characterized by late-onset asthma, upper airways disease, eosinophilia and late neurological manifestations such as peripheral neuropathy. Recently, several cases of CSS have been reported in patients treated with leukotriene antagonists after weaning corticosteroids. We describe a case of CSS developed while the patient was receiving montelukast for asthma treatment, after corticosteroids withdrawal. A causal relationship between montelukast therapy and CSS is hypothesized.