Deep Clinical Phenotyping of Parkinson's Disease: Towards a New Era of Research and Clinical Care.
Deep phenotyping
Motor symptoms
Non-motor symptoms
Parkinson’s disease
Journal
Phenomics (Cham, Switzerland)
ISSN: 2730-5848
Titre abrégé: Phenomics
Pays: Switzerland
ID NLM: 9918351171706676
Informations de publication
Date de publication:
Oct 2022
Oct 2022
Historique:
received:
24
11
2021
revised:
12
03
2022
accepted:
28
03
2022
entrez:
20
3
2023
pubmed:
21
3
2023
medline:
21
3
2023
Statut:
epublish
Résumé
Despite recent advances in technology, clinical phenotyping of Parkinson's disease (PD) has remained relatively limited as current assessments are mainly based on empirical observation and subjective categorical judgment at the clinic. A lack of comprehensive, objective, and quantifiable clinical phenotyping data has hindered our capacity to diagnose, assess patients' conditions, discover pathogenesis, identify preclinical stages and clinical subtypes, and evaluate new therapies. Therefore, deep clinical phenotyping of PD patients is a necessary step towards understanding PD pathology and improving clinical care. In this review, we present a growing community consensus and perspective on how to clinically phenotype this disease, that is, to phenotype the entire course of disease progression by integrating capacity, performance, and perception approaches with state-of-the-art technology. We also explore the most studied aspects of PD deep clinical phenotypes, namely, bradykinesia, tremor, dyskinesia and motor fluctuation, gait impairment, speech impairment, and non-motor phenotypes.
Identifiants
pubmed: 36939759
doi: 10.1007/s43657-022-00051-4
pii: 51
pmc: PMC9590510
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
349-361Informations de copyright
© International Human Phenome Institutes (Shanghai) 2022.
Déclaration de conflit d'intérêts
Conflicts of InterestThe authors have no competing interests to declare that are relevant to the content of this article.
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