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Revista Mexicana de Neurociencia

Academia Mexicana de Neurología, A.C.
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2018, Number 5

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Rev Mex Neuroci 2018; 19 (5)

Analysis of Parkinson’s disease motor subtypes: Mexican Registry of Parkinson - ReMePARK

Alvarado-Franco NL, Olguín-Ramírez L, Eisinger RS, Ramírez-Zamora A, Cervantes-Arriaga A, Rodríguez-Violante M, Martínez-Ramírez D
Full text How to cite this article

Language: Spanish
References: 14
Page: 3-8
PDF size: 192.96 Kb.


Key words:

Subtypes, Classification, Cluster analysis, Progression, Motor symptoms.

ABSTRACT

Background: Parkinson’s disease (PD) is commonly classified into tremor dominant (TD) and a postural instability and gait disorder (PIGD) subtypes. Motor subtyping is primarily empirical. Data-driven approaches classify PD into multiple groups. Using hierarchical clustering to analyze the Parkinson’s progression markers initiative cohort, we found five motor subtypes and an overall shift away from TD as disease progressed. However, replication is needed to validate results. Objective: To identify motor subtypes and analyze changes in a PD Mexican cohort utilizing a cluster analysis. Methods: We used the Mexican Registry of PD (ReMePARK). Scores to the motor components of the MDS-UPDRS Part II and III at all timepoints were utilized for the analysis. To identify motor subtypes without using a priori models, we applied correlational hierarchical clustering of the MDS-UPDRS scores. Names assigned to these groups were based on the MDS-UPDRS questions they each included. 197 patients were analyzed finding five groups: a TD group, an intermediate group (IG), and a PIGD group. Three subgroups within the IG emerged: axial, appendicular, and rigidity subgroup. We then assigned subtypes for each visit. Patients with inconsistent subtypes were analyzed separately by computing subtype frequencies over time using a bin width of 6 months to produce sample-level averages to document a change in subtype over time. Results: The motor subtype frequencies between 0 and 2 years of diagnosis were as follow: 60% TD, 0% axial, 14% appendicular, 5% rigidity, and 21% PIGD between 0 and 2 years of diagnosis. Linear regression showed that subtype increased (worsened) with disease duration p ‹ 0.05. Of the patients resulting in subtypes that changed at 6–8 years of diagnosis (n = 77), frequencies were as follows: to 37% TD, 8% axial, 13% appendicular, 0% rigidity, and 42% PIGD. Conclusion: Five motor subtypes of PD patients resulted from our cluster analysis. Similar than our previous study. The overall shift away from TD was replicated in a cohort with 6–8 years of disease duration. Our results supports that disease duration may affect PD subtype. We replicated our previous study using the same systematic analysis with a different population.


REFERENCES

  1. Rodríguez-Violante M, Cervantes-Arriaga A, Fahn S, Tolosa E. Two-hundred years later: is Parkinson’s disease a single defined entity? Rev Invest Clin. 2017;69(6):308-13.

  2. Berg D, Postuma RB, Bloem B, Chan P, Dubois B, Gasser T, et al. Time to redefine PD? Introductory statement of the MDS Task Force on the definition of Parkinson’s disease. Mov Disord. 2014;29(4):454-62.

  3. Van Rooden SM, Heiser WJ, Kok JN, Verbaan D, van Hilten JJ, Marinus J. The identification of Parkinson’s disease subtypes using cluster analysis: a systematic review. Mov Disord. 2010;25(8):969-78.

  4. Simuni T, Caspell-García C, Coffey C, Lasch S, Tanner C, Marek K, et al. How stable are Parkinson’s disease subtypes in de novo patients: Analysis of the PPMI cohort? Parkinsonism Relat Disord. 2016;28:62-7.

  5. Van Rooden SM, Visser M, Verbaan D, Marinus J, van Hilten JJ. Motor patterns in Parkinson’s disease: a data-driven approach. Mov Disord. 2009;24(7):1042-7.

  6. Graham JM, Sagar HJ. A data‐driven approach to the study of heterogeneity in idiopathic Parkinson’s disease: identification of three distinct subtypes. Mov Disord. 1999;14(1):10-20.

  7. Erro R, Vitale C, Amboni M, Picillo M, Moccia M, Longo K, et al. The heterogeneity of early Parkinson’s disease: a cluster analysis on newly diagnosed untreated patients. PLoS One. 2013;8(8):e70244.

  8. Everitt B, Landau S, Leese M, Stahl D. Cluster analysis. Chichester: Whiley, 2011.

  9. Selikhova M, Williams DR, Kempster PA, Holton JL, Revesz T, Lees AJ. A clinico-pathological study of subtypes in Parkinson’s disease. Brain. 2009;132(Pt 11):2947-57.

  10. Nutt JG. Motor subtype in Parkinson’s disease: Different disorders or different stages of disease? Mov Disord. 2016;31(7):957-61.

  11. Mu J, Chaudhuri KR, Bielza C, de Pedro-Cuesta J, Larranaga P, Martínez- Martín P. Parkinson’s disease subtypes identified from cluster analysis of motor and non-motor symptoms. Front Aging Neurosci. 2017;9:301.

  12. Parkinson Progression Marker Initiative. The Parkinson Progression Marker Initiative (PPMI). Prog Neurobiol. 2011;95(4):629-35.

  13. Cervantes-Arriaga A, Rodríguez-Violante M, López-Ruiz M, Estrada-Bellmann I, Zuñiga-Ramírez C, Otero-Cerdeira E, et al. [Profile characterization of Parkinson’s disease in Mexico: ReMePARK study]. Gac Med Mex. 2013;149(5):497-501.

  14. Eisinger RS, Hess CW, Martínez-Ramírez D, et al. Motor subtype changes in early Parkinson’s disease. Parkinsonism Relat Disord. 2017; 43:67-72.




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Rev Mex Neuroci. 2018;19