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MNCD: A New Tool for Classifying Parkinson's Disease in Daily Clinical Practice.

Authors :
Santos García D
Álvarez Sauco M
Calopa M
Carrillo F
Escamilla Sevilla F
Freire E
García Ramos R
Kulisevsky J
Gómez Esteban JC
Legarda I
Luquín MRI
Castrillo JCM
Martínez-Martin P
Martínez-Torres I
Mir P
Ignacio ÁS
Source :
Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2021 Dec 28; Vol. 12 (1). Date of Electronic Publication: 2021 Dec 28.
Publication Year :
2021

Abstract

Background and objective : Parkinson's disease (PD) is a clinically heterogeneous disorder in which the symptoms and prognosis can be very different among patients. We propose a new simple classification to identify key symptoms and staging in PD. Patients and Methods : Sixteen movement disorders specialists from Spain participated in this project. The classification was consensually approved after a discussion and review process from June to October 2021. The TNM classification and the National Institutes of Health Stroke Scale (NIHSS) were considered as models in the design. Results : The classification was named MNCD and included 4 major axes: (1) motor symptoms; (2) non-motor symptoms; (3) cognition; (4) dependency for activities of daily living (ADL). Motor axis included 4 sub-axes: (1) motor fluctuations; (2) dyskinesia; (3) axial symptoms; (4) tremor. Four other sub-axes were included in the non-motor axis: (1) neuropsychiatric symptoms; (2) autonomic dysfunction; (3) sleep disturbances and fatigue; (4) pain and sensory disorders. According to the MNCD, 5 stages were considered, from stage 1 (no disabling motor or non-motor symptoms with normal cognition and independency for ADL) to 5 (dementia and dependency for basic ADL). Conclusions : A new simple classification of PD is proposed. The MNCD classification includes 4 major axes and 5 stages to identify key symptoms and monitor the evolution of the disease in patients with PD. It is necessary to apply this proof of concept in a properly designed study.

Details

Language :
English
ISSN :
2075-4418
Volume :
12
Issue :
1
Database :
MEDLINE
Journal :
Diagnostics (Basel, Switzerland)
Publication Type :
Academic Journal
Accession number :
35054222
Full Text :
https://doi.org/10.3390/diagnostics12010055