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Quantitative motor assessment of muscular weakness in myasthenia gravis: a pilot study

Overview of attention for article published in BMC Neurology, December 2015
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Title
Quantitative motor assessment of muscular weakness in myasthenia gravis: a pilot study
Published in
BMC Neurology, December 2015
DOI 10.1186/s12883-015-0517-8
Pubmed ID
Authors

Sarah Hoffmann, Jana Siedler, Alexander U. Brandt, Sophie K. Piper, Siegfried Kohler, Christian Sass, Friedemann Paul, Ralf Reilmann, Andreas Meisel

Abstract

Muscular weakness in myasthenia gravis (MG) is commonly assessed using Quantitative Myasthenia Gravis Score (QMG). More objective and quantitative measures may complement the use of clinical scales and might detect subclinical affection of muscles. We hypothesized that muscular weakness in patients with MG can be quantified with the non-invasive Quantitative Motor (Q-Motor) test for Grip Force Assessment (QGFA) and Involuntary Movement Assessment (QIMA) and that pathological findings correlate with disease severity as measured by QMG. This was a cross-sectional pilot study investigating patients with confirmed diagnosis of MG. Data was compared to healthy controls (HC). Subjects were asked to lift a device (250 and 500 g) equipped with electromagnetic sensors that measured grip force (GF) and three-dimensional changes in position and orientation. These were used to calculate the position index (PI) and orientation index (OI) as measures for involuntary movements due to muscular weakness. Overall, 40 MG patients and 23 HC were included. PI and OI were significantly higher in MG patients for both weights in the dominant and non-dominant hand. Subgroup analysis revealed that patients with clinically ocular myasthenia gravis (OMG) also showed significantly higher values for PI and OI in both hands and for both weights. Disease severity correlates with QIMA performance in the non-dominant hand. Q-Motor tests and particularly QIMA may be useful objective tools for measuring motor impairment in MG and seem to detect subclinical generalized motor signs in patients with OMG. Q-Motor parameters might serve as sensitive endpoints for clinical trials in MG.

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Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Student > Doctoral Student 7 14%
Student > Bachelor 7 14%
Student > Ph. D. Student 6 12%
Student > Postgraduate 4 8%
Other 12 24%
Unknown 6 12%
Readers by discipline Count As %
Medicine and Dentistry 20 40%
Neuroscience 7 14%
Agricultural and Biological Sciences 3 6%
Psychology 3 6%
Unspecified 3 6%
Other 7 14%
Unknown 7 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 December 2015.
All research outputs
#18,433,196
of 22,836,570 outputs
Outputs from BMC Neurology
#1,889
of 2,437 outputs
Outputs of similar age
#281,922
of 390,595 outputs
Outputs of similar age from BMC Neurology
#43
of 46 outputs
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