Does change in neuromuscular jitter predict or correlate with clinical change in MG?

INTRODUCTION: The objective of this study was to determine if single-fiber electromyography (SFEMG) jitter accurately reflects change in severity in myasthenia gravis (MG). METHODS: We reviewed jitter and outcome data from all MG patients in our clinic who had at least 2 jitter measurements in the extensor digitorum or frontalis muscle. RESULTS: Change in all parameters of jitter measured with SFEMG electrodes predicted clinical change with acceptable accuracy. Absolute and percentage change in mean value of consecutive interval differences were equally accurate in predicting clinical change and were more accurate than change in the proportion of fiber pairs with blocking or normal jitter. CONCLUSIONS: Jitter is a sensitive measure of severity in MG and has a potential role as a biomarker in clinical trials and the clinic. Absolute or percentage change in mean jitter is the best jitter parameter to follow. The accuracy of change in jitter measured with other electrodes has yet to be determined. Muscle Nerve 56: 45-50, 2017.

Duke Scholars

Author Donald Benjamin Sanders Neurology, Neuromuscular Disease

Author Janice Munn Massey Neurology, Neuromuscular Disease