Electrodiagnostic Characteristics Suggestive of Muscle-Specific Kinase Myasthenia Gravis

Author:

Skolka Michael,Lamb Christopher J.,Rubin Devon I.,Klein Christopher J.,Laughlin Ruple S.ORCID

Abstract

Background and ObjectivesMuscle-specific kinase (MuSK) antibody–positive myasthenia gravis (MuSK + MG) is a form of MG with bulbar-predominant symptoms often resistant to conventional treatments. Patients with MuSK + MG may have an electrodiagnostic (EDX) profile distinct from other MG. This study compares EDX features of MuSK + MG with acetylcholine receptor (AChR) antibody–positive MG (AChR + MG) to discern whether any unique EDX pattern exists that can aid in clinical diagnosis.MethodsFrom January 1, 2010, through December 31, 2020, all patients with MuSK + MG at our institution were identified and randomly matched to an AChR + MG cohort in a 1:2 ratio based on sex, age at onset, and subsequently Myasthenia Gravis Foundation of America (MGFA) clinical severity for a case-control study. Each patient's clinical profile, treatment, and EDX testing were summarized and analyzed.ResultsTwenty-two patients with MuSK + MG (18 female) and 44 patients with AChR + MG were studied. The average symptom duration at presentation was shorter in the MuSK + MG group (4.7 years) compared with AChR + MG (10.9 years). Myotonic discharges were rare in both groups but more frequently observed in patients with MuSK + MG (10%) identified in 5 muscles in 2 patients compared with AChR + MG (2%) noted in only 1 muscle in 1 patient. Patients with MuSK + MG more often had myopathic appearing motor unit potentials (MUPs) (41% vs 30%) compared with AChR + MG. Myopathic appearing MUPs were found in milder cases of MuSK + MG (MGFA class I–IIB) compared with AChR + MG (MGFA Class IIB–V).DiscussionPatients with MuSK + MG may have a recognizable EDX profile from AchR + MG that includes (1) myotonic discharges, (2) greater occurrence of myopathic appearing MUPs in clinically mild disease, and (3) symptoms leading to earlier testing.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Neurology (clinical)

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