Journal article
Neuropathy progression in Charcot-Marie-Tooth disease type 1A
Neurology, Vol.70(5), pp.378-383
2008
DOI: 10.1212/01.wnl.0000297553.36441.ce
PMID: 18227419
Abstract
Objective: To determine the rate of disease progression in Charcot-Marie-Tooth disease type 1A (CMT1A).
Background: CMT1A is the most common inherited peripheral neuropathy, affecting approximately 1:5,000 people irrespective of ethnic background or gender. There is no cure for CMT1A. Clinical trials are being initiated that use the CMT Neuropathy Score (CMTNS), a composite score based on patient symptoms, signs, and neurophysiologic abnormalities, as the primary outcome variable. The sensitivity of the CMTNS or any other score to change over time, as a measure of CMT1A progression, has yet to be determined.
Methods: We determined the CMTNS as well as the Neuropathy Impairment Score (NIS) on 72 patients followed for up to 8 years. The rate of disease progression was evaluated for the CMTNS and NIS using mixed effects linear regression models, adjusting for age and gender.
Results: Both CMTNS and NIS showed changes over time. The CMTNS increased an average of 0.686 points per year (95% CI 0.461 to 0.911, p ≤ 0.0001). The NIS increased 1.368 points per year on average (95% CI 0.616 to 2.121, p = 0.0005). There was a suggestion that the rate of progression increased with age.
Conclusion: Progression of CMT1A can be detected by both the CMT Neuropathy Score (CMTNS) and the Neuropathy Impairment Score (NIS). This supports the feasibility of clinical trials to detect a slowing of disease progression using either or both of these scales as outcome measures. Since the CMTNS combines symptoms, signs, and electrophysiology and the NIS is based solely on the neurologic examination, the two scales may be complementary.
Details
- Title: Subtitle
- Neuropathy progression in Charcot-Marie-Tooth disease type 1A
- Creators
- M. E SHY - Department of Neurology, Wayne State University, Detroit, MI, United StatesL CHEN - Department of Biostatistics and Computational Biology, University of Rochester, NY, United StatesE. R SWAN - Department of Neurology, Wayne State University, Detroit, MI, United StatesR TAUBE - Department of Neurology, Wayne State University, Detroit, MI, United StatesK. M KRAJEWSKI - Department of Neurology, Wayne State University, Detroit, MI, United StatesD HERRMANN - Department of Neurology, University of Rochester, NY, United StatesR. A LEWIS - Department of Neurology, Wayne State University, Detroit, MI, United StatesM. P MCDERMOTT - Department of Biostatistics and Computational Biology, University of Rochester, NY, United States
- Resource Type
- Journal article
- Publication Details
- Neurology, Vol.70(5), pp.378-383
- Publisher
- Lippincott Williams & Wilkins; Hagerstown, MD
- DOI
- 10.1212/01.wnl.0000297553.36441.ce
- PMID
- 18227419
- ISSN
- 0028-3878
- eISSN
- 1526-632X
- Language
- English
- Date published
- 2008
- Academic Unit
- Neurology; Molecular Physiology and Biophysics; Stead Family Department of Pediatrics; Iowa Neuroscience Institute
- Record Identifier
- 9984020649902771
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