Definition, diagnosis and classification of infection-related movement disorders: Consensus proposal.

Classification Definition Infections-related Movement disorders

Journal

Parkinsonism & related disorders
ISSN: 1873-5126
Titre abrégé: Parkinsonism Relat Disord
Pays: England
ID NLM: 9513583

Informations de publication

Date de publication:
30 Apr 2024
Historique:
received: 29 01 2024
revised: 10 04 2024
accepted: 28 04 2024
medline: 6 5 2024
pubmed: 6 5 2024
entrez: 5 5 2024
Statut: aheadofprint

Résumé

Infection-related movement disorders (IRMD) present a complex diagnostic challenge due to the broad phenotypic spectrum, the variety of possible infectious aetiologies, and the complicated underlying mechanisms. Yet, a comprehensive framework for classifying IRMD is lacking. An international consensus panel under the directives of the Movement Disorders Society Infection-Related Movement Disorders Study Group developed a comprehensive definition and a consensus classification system. Case scenarios were used for validation. A definition for IRMD and a two-axis-based classification system consisting of six descriptors are proposed, intended as tools for researchers and clinicians. Collected information on clinical characteristics, investigational findings, the infectious organism and presumed pathogenesis facilitate the evaluation of diagnostic certainty. The proposed framework will serve for optimised diagnostic algorithms, systematic aggregation of informative datasets across studies, and ultimately improved care and outcome of patients with IRMDs.

Sections du résumé

BACKGROUND BACKGROUND
Infection-related movement disorders (IRMD) present a complex diagnostic challenge due to the broad phenotypic spectrum, the variety of possible infectious aetiologies, and the complicated underlying mechanisms. Yet, a comprehensive framework for classifying IRMD is lacking.
METHODS METHODS
An international consensus panel under the directives of the Movement Disorders Society Infection-Related Movement Disorders Study Group developed a comprehensive definition and a consensus classification system. Case scenarios were used for validation.
RESULTS RESULTS
A definition for IRMD and a two-axis-based classification system consisting of six descriptors are proposed, intended as tools for researchers and clinicians. Collected information on clinical characteristics, investigational findings, the infectious organism and presumed pathogenesis facilitate the evaluation of diagnostic certainty.
CONCLUSION CONCLUSIONS
The proposed framework will serve for optimised diagnostic algorithms, systematic aggregation of informative datasets across studies, and ultimately improved care and outcome of patients with IRMDs.

Identifiants

DOI: 10.1016/j.parkreldis.2024.106988 PMID: 38705765
pubmed: 38705765
pii: S1353-8020(24)01000-9
doi: 10.1016/j.parkreldis.2024.106988
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

106988

Informations de copyright

Copyright © 2024 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Dr Diego Iacano works for USSUHS. The opinions expressed herein are those of the authors and not necessarily representative of those of the Uniformed Services University of the Health Sciences (USUHS), the Department of Defense (DOD), the United States Army, Navy, or Air Force, any other US government agency and Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. (HJF). If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Soaham Desai (S)

Dept of Neurology, Shree Krishna Hospital Pramukhswami Medical College, Bhaikaka University, Gujarat, India. Electronic address: drsoahamdesai@yahoo.com.

Norlinah Abrahim (N)

Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Malaysia. Electronic address: norlinah@ppukm.ukm.edu.my.

Divyani Garg (D)

Department of Neurology, All India Institute of Medical Sciences, New Delhi, 110029, India. Electronic address: divyanig@gmail.com.

Ravi Yadav (R)

Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bengaluru, 560029, India. Electronic address: docravi@gmail.com.

Diego Iacono (D)

Departments of Neurology, Pathology, Neuroscience Program, F. Edward Hebert School of Medicine, Uniformed Services University (USU), Bethesda, MD, USA; DoD/USU Brain Tissue Repository and Neuropathology Program, Henry Jackson Foundation (HJF), Inc. Bethesda, MD, USA. Electronic address: diego.iacono.ctr@usuhs.edu.

Yoshikazu Ugawa (Y)

Department of Human Neurophysiology, Fukushima Medical University, Japan. Electronic address: ugawatky2@gmail.com.

Prashanth Lk (P)

Centre for Parkinson's Disease and Movement Disorders, Miller's Road, Bangalore, India. Electronic address: drprashanth.lk@gmail.com.

Charulata Sankhla (C)

Hinduja Hospital, Mumbai, India. Electronic address: charusankhla@gmail.com.

Fransisco Cardoso (F)

Movement Disorders Unit, Neurology Service, Internal Medicine Department, The Federal University of Minas Gerais, UFMG, Brazil. Electronic address: fecardosoc@gmail.com.

Susanne A Schneider (SA)

Department of Neurology, LMU University Hospital, LMU Munich, Germany. Electronic address: Susanne.Schneider@med.uni-muenchen.de.

Pramod Kumar Pal (PK)

Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bengaluru, 560029, India. Electronic address: palpramod@hotmail.com.

Classifications MeSH