Clinical Classification and Prognosis of Patients with Multiple Sclerosis in Northern China

Article Preview

Abstract:

Objective: To study the clinical classification of multiple sclerosis (MS) by analyzing the features of the magnetic resonance imaging (MRI) on brain and spinal cord and surveying the natural history. Methods: MRI examination was conducted on 132 clinically diagnosed multiple sclerosis patients and their quality of life and disability rate were graded. Results: The general distribution of lesions in the nervous system was obtained. In northern China, relapsing-remitting MS (RRMS) by natural course classification and simple brain MS by lesion distribution classification lead to fewer neurological deficits with a relatively top life quality. Meanwhile, there is a tendency for the correlation between the pathogenetic locations of MS and its natural course prognosis. Conclusion: To improve the understanding of the prognosis of MS and promote the diagnosis ability to guide MS treatment. Multiple sclerosis (MS) is a common immune-mediated chronic disease of the central nervous system with the demyelination of white matter as the main pathological feature. The incidence of MS has a significant regional difference and studies on the natural history classification and lesions distribution classification of MS patients in northern China are not sufficient. In this study, natural history and lesions distribution of MS patients were classified by MRI approach and the impacts of each MS classification on neurological deficits and quality of life were observed. In this thesis, features and prognosis of MS classifications in northern China are discussed for the purpose of improving the level of diagnosis and treatment.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

606-610

Citation:

Online since:

April 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Polman CH, Reingold SC, Edan G, et al. Diagnostic criteria for multiple sclerosis: 2005 revisions to the McDonald Criteria,. Ann Neurol. 2005, 58(6): 840-846.

DOI: 10.1002/ana.20703

Google Scholar

[2] Lublin FD, Reingold SC. Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis. Neurology. 1996, 46(4): 907-911.

DOI: 10.1212/wnl.46.4.907

Google Scholar

[3] Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983, 33(11): 1444-1452.

DOI: 10.1212/wnl.33.11.1444

Google Scholar

[4] Bebo BF Jr, Schuster JC, Vandenbark AA, et al. Androgens alter the cytokine profile and reduce encephalitogenicity of myelin-reactive T cells. Journal of Immunology. 1999, 162: 35–40.

DOI: 10.4049/jimmunol.162.1.35

Google Scholar

[5] Gold SM, Voskuhl RR. Estrogen and testosterone therapies in multiple sclerosis. Int Rev Psychiatry. 2010, 22(1): 2-13.

Google Scholar

[6] Tomassini V, Onesti E, Mainero C, et al. Sex hormones modulate brain damage in multiple sclerosis: MRI evidence. J Neurol Neurosurg Psychiatry. 2005, 76(2): 272-275.

DOI: 10.1136/jnnp.2003.033324

Google Scholar

[7] A. Czlonkowska, A. Ciesielska, G. Gromadzka I. Kurkowska-Jastrzebska. Estrogen and cytokines production - the possible cause of gender differences in neurological diseases. Current pharmaceutical design. 2005, 11(8): 1017-30.

DOI: 10.2174/1381612053381693

Google Scholar

[8] Filippi M, Rocca MA, Barkhof F, et al. Association between pathological and MRI findings in multiple sclerosis. Lancet Neurol. 2012, 11(4): 349-360.

Google Scholar

[9] Zamboni P. The big idea: Iron-dependent inflammation in venous disease and proposed parallels in multiple sclerosis. J R Soc Med. 2006, 99: 589-593.

DOI: 10.1177/014107680609901122

Google Scholar

[10] Haines JD, Inglese M, Casaccia P. Axonal Damage in Multiple Sclerosis. Mt Sinai J Med. 2011, 78(2): 231-243.

DOI: 10.1002/msj.20246

Google Scholar

[11] Miller E. Multiple sclerosis. Adv Exp Med Biol. 2012, 724(0): 222-238.

Google Scholar

[12] Horakova D, Kalincik T, Dusankova Blahova J, et al. Clinical correlates of grey matter pathology in multiple sclerosis. BMC Neurol. 2012: Mar 7; 12: 1.

DOI: 10.1186/1471-2377-12-10

Google Scholar

[13] Gilmore CP, DeLuca GC, Bö L, et al. Spinal cord neuronal pathology in multiple sclerosis. Brain Pathol. 2009, 19(4): 642-649.

DOI: 10.1111/j.1750-3639.2008.00228.x

Google Scholar