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The MRZ reaction helps to distinguish rheumatologic disorders with central nervous involvement from multiple sclerosis

Overview of attention for article published in BMC Neurology, January 2018
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Title
The MRZ reaction helps to distinguish rheumatologic disorders with central nervous involvement from multiple sclerosis
Published in
BMC Neurology, January 2018
DOI 10.1186/s12883-018-1018-3
Pubmed ID
Authors

Tilman Hottenrott, Rick Dersch, Benjamin Berger, Dominique Endres, Daniela Huzly, Jens Thiel, Sebastian Rauer, Oliver Stich, Ulrich Salzer, Nils Venhoff

Abstract

Some rheumatologic disorders may initially manifest with central nervous system (CNS) affection, mimicking the clinical, magnetic resonance imaging, and cerebrospinal fluid findings of multiple sclerosis (MS). The MRZ reaction (MRZR), composed of the three respective antibody indices (AIs) against measles, rubella, and varicella zoster virus, has been found positive frequently in MS patients. However, it is unclear whether the MRZR is helpful to distinguish rheumatologic disorders with CNS involvement (RDwCNS) from MS. The MRZR was evaluated in patients with RDwCNS (n = 23), MS (n = 46; age and sex matched to patients with RDwCNS), and other inflammatory autoimmune neurological diseases affecting the CNS (OIND; n = 48). Both the stringency levels that have been used in previous MRZR studies, MRZR-1 (≥ 1 of 3 AIs positive) and MRZR-2 (≥ 2 of 3 AIs positive), were applied. There was no statistically significant difference in the prevalence of positive MRZR between patients with RDwCNS (MRZR-1: 13.0% and MRZR-2: 8.7%, respectively) and OIND (MRZR-1: 22.9% and MRZR-2: 8.3%, respectively). Compared to these two study cohorts, the MS group exhibited significantly higher prevalences of positive MRZR (MRZR-1: 82.6%, MRZR-2: 63.0%; p < 0.005 each). Considering the high specificity of MRZR-2 for MS found in this study, MRZR-2 can be a useful diagnostic tool for distinguishing MS from RDwCNS or OIND.

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Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 14%
Student > Master 4 14%
Student > Ph. D. Student 3 11%
Student > Postgraduate 2 7%
Other 2 7%
Other 4 14%
Unknown 9 32%
Readers by discipline Count As %
Medicine and Dentistry 7 25%
Neuroscience 5 18%
Business, Management and Accounting 1 4%
Nursing and Health Professions 1 4%
Psychology 1 4%
Other 3 11%
Unknown 10 36%