This is a multicentric and prospective study for the validation of a diagnostic method in multiple sclerosis. Our hypothesis is that there is a characteristic profile of tears that can be recognized in order to help in the diagnosis of this pathology and that could possibly replace the lumbar punction which is an invasive method. Semi-automatic and automatic techniques of isoelectric focusing will be developed for analyzing data from tears. These results will help in the identification of markers of this disease.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
165
All patients recruited in this study will undergo a cerebrospinal fluid sampling which is an invasive procedure included in the actual routine practice. In addition a sampling from eyes will be obtain using the Schirmer test to get tears from the lacrimal gland.
Centre Hospitalier Universitaire de Bordeaux
Bordeaux, France
Centre Hospitalier Universitaire Caen
Caen, France
Centre Hospitalier Universitaire de Clermont-Ferrand
Clermont-Ferrand, France
Centre Hospitalier Universitaire de Dijon
Dijon, France
Centre Hospitalier Régional Universitaire de Lille
Lille, France
Groupe Hospitalier de l'Institut Catholique de Lille
Lomme, France
Centre Hospitalier Universitaire de Lyon
Lyon, France
Hopital de la Timone
Marseille, France
Universitaire de Nancy
Nancy, France
Centre Hospitalier Universitaire de Nantes
Nantes, France
...and 5 more locations
Test of the concordance coefficient between the analysis of tears and the analysis of cerebrospinal fluid
Test of the concordance coefficient between the analysis of tears and the analysis of cerebrospinal fluid
Time frame: two years after
Diagnostic performance of isoelectric focusing of tears
Identification of the number of patients with a typical electrophoretic profile in tears allowing the early diagnosis of a SEP-RR
Time frame: inclusion, two years after
Concordance between visual and automatic reading of electrophoretic profiles
Determination of percentage of positive and negative tests after visual and automatic reading of electrophoretic profiles
Time frame: two years
Calculation of sensitivity/specificity
Calculation of sensitivity/specificity
Time frame: two years
Calculation of positive/negative predictive value
Calculation of positive/negative predictive value
Time frame: two years
Calculation of efficiency odds ratio
Calculation of efficiency odds ratio
Time frame: two years
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