Clinical Trial: Exploratory Study of Predictive Markers of the Therapeutic Response in Patients With Chronic Inflammatory Demyelinating Polyradiculoneuropathy Treated With Intravenous Immunoglobulin

Study Status: Not yet recruiting
Recruit Status: Not yet recruiting
Study Type: Interventional




Official Title:

Brief Summary:

Chronic Inflammatory Demyelinating Polyradiculoneuropathy (CIDP) is an acquired neuropathy characterized by an inflammatory multifocal segmental demyelination. Due to the clinical heterogeneity of this condition and the lack of specific marker that can reliably identify all patients, the diagnosis of CIDP remains difficult. Similarly, there are no clear factors predicting the evolution or the prognosis of the disease. Current treatments are the intravenous immunoglobulin (IVIg), corticoids and plasma exchange; IVIg therapy being the most commonly used. Responses of the patients to the treatments are variable. Thus, it is necessary to identify predictive markers of the therapeutic response of CIDP patients treated by IVIg.

Several potential biomarkers have been proposed recently, but none of them has yet been validated as a predictive criterion for therapeutic response. It is therefore necessary to continue to investigate several biological parameters to identify a reliable biological marker.

In electromyography, the Motor Unit Number Index (MUNIX) technique allows measuring the axonal loss by a precise count of functional motor units. This method, more sensitive than the measure of the Compound Muscle Action Potential (CMAP), is rarely used in CIDP. MUNIX might be a good tool to better characterize the patients and to follow the course of CIDP. It also might be a new sensitive and reliable marker predictive of the therapeutic response.

Magnetic resonance Imaging (MRI) is increasingly used for the assessment of neuromuscular diseases. A recent study on CIDP patients reported a significant decrease of the muscle Magnetisation Transfer Ratio (MTR) compared to healthy subjects, correlated to clinical parameters. The use of advances MRI techniques could allow characterizing the