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CONSENSUS STATEMENT: USING LARYNGEAL ELECTROMYOGRAPHY FOR THE DIAGNOSIS AND TREATMENT OF VOCAL CORD PARALYSIS
Journal article   Peer reviewed

CONSENSUS STATEMENT: USING LARYNGEAL ELECTROMYOGRAPHY FOR THE DIAGNOSIS AND TREATMENT OF VOCAL CORD PARALYSIS

Michael C. Munin, Yolanda D. Heman-Ackah, Clark A. Rosen, Lucian Sulica, Nicole Maronian, Steven Mandel, Bridget T. Carey, Earl Craig and Gary Gronseth
Muscle & nerve, v 53(6), pp 850-855
01 Jun 2016
PMID: 26930512

Abstract

Clinical Neurology Life Sciences & Biomedicine Neurosciences Neurosciences & Neurology Science & Technology
Introduction: The purpose of this study was to develop an evidence-based consensus statement regarding use of laryngeal electromyography (LEMG) for diagnosis and treatment of vocal fold paralysis after recurrent laryngeal neuropathy (RLN). Methods: Two questions regarding LEMG were analyzed: (1) Does LEMG predict recovery in patients with acute unilateral or bilateral vocal fold paralysis? (2) Do LEMG findings change clinical management in these individuals? A systematic review was performed using American Academy of Neurology criteria for rating of diagnostic accuracy. Results: Active voluntary motor unit potential recruitment and presence of polyphasic motor unit potentials within the first 6 months after lesion onset predicted recovery. Positive sharp waves and/or fibrillation potentials did not predict outcome. The presence of electrical synkinesis may decrease the likelihood of recovery, based on 1 published study. LEMG altered clinical management by changing the initial diagnosis from RLN in 48% of cases. Cricoarytenoid fixation and superior laryngeal neuropathy were the most common other diagnoses observed. Conclusions: If prognostic information is required in a patient with vocal fold paralysis that is more than 4 weeks and less than 6 months in duration, then LEMG should be performed. LEMG may be performed to clarify treatment decisions for vocal fold immobility that is presumed to be caused by RLN.

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Collaboration types
Domestic collaboration
Web of Science research areas
Clinical Neurology
Neurosciences
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