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Clin Neurophysiol. 2019 May;130(5):701-706. doi: 10.1016/j.clinph.2019.02.008. Epub 2019 Feb 28.

Semi-quantitative electromyography as a predictor of nerve transfer outcome.

Author information

1
University of California San Diego School of Medicine, Department of Neurosciences, La Jolla, CA, USA. Electronic address: rmandeville@ucsd.edu.
2
University of California San Diego School of Medicine, Department of Neurosurgery, La Jolla, CA, USA.
3
University of California San Diego School of Medicine, Department of Neurosciences, La Jolla, CA, USA.

Abstract

OBJECTIVES:

Evaluate correlation between donor nerve semi-quantitative electromyography (sqEMG) and strength outcome in nerve transfer surgery.

METHODS:

Retrospective review of pre-operative donor nerve semi-quantitative neurophysiology and post-operative recipient muscle force after at least one-year follow-up. The semi-quantitative technique is the average motor unit number estimate associated with needle recorded interference patterns in the donor muscle (IP-AMUNE), which was correlated with hand-held manometry, standardized as a percent of the contralateral arm, using multivariable linear regression with backward selection.

RESULTS:

Twenty-eight nerve transfer cases were included. The correlation between the donor nerve IP-AMUNE and the recipient muscle strength was moderate to strong and highly significant (r = 0.67, p < 0.001). Medical Research Council (MRC) grading did not predict strength (p > 0.54).

CONCLUSIONS:

IP-AMUNE is a good predictor of strength after nerve transfer surgery and should be considered in the evaluation and planning of patients undergoing nerve transfer to aid in donor nerve selection.

SIGNIFICANCE:

IP-AMUNE may significantly benefit those undergoing nerve transfer surgery for the restoration of movement.

KEYWORDS:

Electromyography; Nerve transfer; Neurophysiology; Quantitative neurophysiology; Reconstructive neurosurgery; Spinal cord injury

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