Article

[Therapeutic trial design issues for future disease-modifying therapy of multiple system atrophy].

Department of Neurology, Graduate School of Medicine, The University of Tokyo, Japan.
Rinshō shinkeigaku = Clinical neurology 11/2011; 51(11):910-3. pp.910-3
Source: PubMed

ABSTRACT Multiple system atrophy (MSA) is an adult-onset, progressive neurodegenerative disorder which is clinically characterized by various combinations of cerebellar ataxia, Parkinsonism, autonomic dysfunction and pyramidal signs. MSA is known as a sporadic disease, however, multiplex families with MSA suggest a genetic predisposition to MSA. The advanced genome research will clarify the pathogenetic mechanisms of MSA, and the disease-modifying therapy of MSA may be available in the future. To clarify the natural history of MSA for the future therapeutic trials, and to elucidate the molecular pathogenetic mechanisms of MSA, JAMSAC (Japan MSA research consortium), a nationwide consortium, was established in 2003. In the view of the future therapeutic trial for MSA, it is essential to design appropriate end point, sample size, duration of the trial. And inclusion criteria are also important for effective therapeutic trial. We conducted a cross-sectional study on 225 MSA patients using unified multiple system atrophy rating scale (UMSARS). As inclusion criteria, we employed additional criteria based on specific MRI findings to recruit earlier stage patients. Sample size estimation from the longitudinal study suggested we need sensitive outcome measures beside UMSARS. JAMSAC is planning to a longitudinal study for natural history of MSA in Japan.

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Keywords

225 MSA patients
 
advanced genome research
 
autonomic dysfunction
 
cross-sectional study
 
design appropriate end point
 
effective therapeutic trial
 
future therapeutic trial
 
future therapeutic trials
 
genetic predisposition
 
Japan MSA research consortium
 
longitudinal study
 
molecular pathogenetic mechanisms
 
Multiple system atrophy
 
pathogenetic mechanisms
 
progressive neurodegenerative disorder
 
Sample size estimation
 
sensitive outcome measures
 
specific MRI findings
 
sporadic disease
 
various combinations