Measuring change in inclusion body myositis: clinical assessments versus imaging.


Journal

Clinical and experimental rheumatology
ISSN: 0392-856X
Titre abrégé: Clin Exp Rheumatol
Pays: Italy
ID NLM: 8308521

Informations de publication

Date de publication:
Feb 2022
Historique:
received: 20 01 2022
accepted: 31 01 2022
entrez: 28 2 2022
pubmed: 1 3 2022
medline: 3 3 2022
Statut: ppublish

Résumé

Sporadic inclusion body myositis (sIBM) is a heterogeneous progressive inflammatory muscle disease impacting skeletal muscles in the head, neck, and limbs. Use of valid, reliable, sensitive, and standardised clinical and paraclinical outcome assessments (COA) are critical to inform both proactive clinical care and clinical trial design. Here we review clinical and imaging methods used to quantify muscle strength, size, or function in sIBM, and discuss their application to clinical practice and use in clinical trials. Considerations for future work to validate measures in this population are also discussed.

Identifiants

pubmed: 35225227
pii: 18325
doi: 10.55563/clinexprheumatol/0q2voe
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

404-413

Auteurs

Lindsay N Alfano (LN)

The Abigail Wexner Research Institute at Nationwide Children's Hospital, Center for Gene Therapy, Columbus, and the Department of Paediatrics, The Ohio State University College of Medicine, Columbus, OH, USA. lindsay.alfano@nationwidechildrens.org.

Kendrea L Focht Garand (KL)

Department of Speech Pathology and Audiology, University of South Alabama, Mobile, AL, USA.

Georgia A Malandraki (GA)

Department of Speech, Language & Hearing Sciences, Purdue University, West Lafayette, and Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.

Sharfaraz Salam (S)

Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, UK.

Pedro M Machado (PM)

Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London; Centre for Rheumatology, UCL Division of Medicine, University College London; and NIHR University College London Hospitals Biomedical Research Centre, London, UK.

Mazen M Dimachkie (MM)

Department of Neurology, The University of Kansas Medical Center, Kansas City, KS, USA.

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Classifications MeSH