Telemedicine visits in myasthenia gravis: Expert guidance and the Myasthenia Gravis Core Exam (MG-CE).


Journal

Muscle & nerve
ISSN: 1097-4598
Titre abrégé: Muscle Nerve
Pays: United States
ID NLM: 7803146

Informations de publication

Date de publication:
09 2021
Historique:
revised: 26 04 2021
received: 30 07 2020
accepted: 04 05 2021
pubmed: 8 5 2021
medline: 1 9 2021
entrez: 7 5 2021
Statut: ppublish

Résumé

Telemedicine may be particularly well-suited for myasthenia gravis (MG) due to the disorder's need for specialized care, its hallmark fluctuating muscle weakness, and the potential for increased risk of virus exposure among patients with MG during the coronavirus disease 2019 (COVID-19) pandemic during in-person clinical visits. A disease-specific telemedicine physical examination to reflect myasthenic weakness does not currently exist. This paper outlines step-by-step guidance on the fundamentals of a telemedicine assessment for MG. The Myasthenia Gravis Core Exam (MG-CE) is introduced as a MG-specific, telemedicine, physical examination, which contains eight components (ptosis, diplopia, facial strength, bulbar strength, dysarthria, single breath count, arm strength, and sit to stand) and takes approximately 10 minutes to complete. Pre-visit preparation, remote ascertainment of patient-reported outcome scales and visit documentation are also addressed. Additional knowledge gaps in telemedicine specific to MG care are identified for future investigation.

Identifiants

pubmed: 33959997
doi: 10.1002/mus.27260
pmc: PMC9057373
mid: NIHMS1795957
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

270-276

Subventions

Organisme : NINDS NIH HHS
ID : U54 NS115054
Pays : United States
Organisme : MGNet
ID : U54 NS115054, which is funded through collaboration between NCATS and NINDS.

Informations de copyright

© 2021 Wiley Periodicals LLC.

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Auteurs

Amanda C Guidon (AC)

Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Srikanth Muppidi (S)

Department of Neurology, Stanford University Hospital, Palo Alto, California, USA.

Richard J Nowak (RJ)

Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, USA.

Jeffrey T Guptill (JT)

Department of Neurology, Duke University, Durham, North Carolina, USA.

Michael K Hehir (MK)

Department of Neurological Sciences, Larner College of Medicine at the University of Vermont, Burlington, Vermont, USA.

Katherine Ruzhansky (K)

Department of Neurology, Medical University of South Carolina, Charleston, South Carolina, USA.

Leeann B Burton (LB)

Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

David Post (D)

Department of Neurology, Stanford University Hospital, Palo Alto, California, USA.

Gary Cutter (G)

Department of Biostatistics, University of Alabama, Birmingham, Alabama, USA.

Robin Conwit (R)

Division of Clinical Research, National Institute of Neurological Disorders and Stroke, National Institutes of Health, NINDS, Rockville, Maryland, USA.

Nicte I Mejia (NI)

Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Henry J Kaminski (HJ)

Department of Neurology, George Washington University Medical Center, Washington, District of Columbia, USA.

James F Howard (JF)

Department of Neurology, The University of North Carolina, Chapel Hill, North Carolina, USA.

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Classifications MeSH