Long term outcome of Parkinson's disease and validation of a new clinical classification system

2020 ◽  
Vol 79 ◽  
pp. e35-e36
Author(s):  
E. Ygland Rödström ◽  
A. Puschmann
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Classification System ◽  
Clinical Classification ◽  
Term Outcome ◽  
Long Term Outcome

scholarly journals The long-term outcome of impulsive compulsive behaviours in Parkinson’s disease

2019 ◽  
Vol 90 (11) ◽  
pp. 1288-1289
Author(s):  
Pedro Melo Barbosa ◽  
Atbin Djamshidian ◽  
Sean S O'Sullivan ◽  
Eduardo de Pablo-Fernandez ◽  
Prasad Korlipara ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Term Outcome ◽  
Long Term Outcome

Long-term outcome of early versus delayed rasagiline treatment in early Parkinson's disease

2009 ◽  
Vol 24 (4) ◽  
pp. 564-573 ◽  
Author(s):  
Robert A. Hauser ◽  
Mark F. Lew ◽  
Howard I. Hurtig ◽  
William G. Ondo ◽  
Joanne Wojcieszek ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Early Parkinson’S Disease

scholarly journals Has Deep Brain Stimulation Changed the Very Long‐Term Outcome of Parkinson's Disease? A Controlled Longitudinal Study

2020 ◽  
Vol 7 (7) ◽  
pp. 782-787 ◽  
Author(s):  
Philipp Mahlknecht ◽  
Marina Peball ◽  
Katherina Mair ◽  
Mario Werkmann ◽  
Michael Nocker ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Longitudinal Study ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Deep Brain

scholarly journals Predictive Factors for Long-term Outcome of Subthalamic Nucleus Deep Brain Stimulation for Parkinson’s Disease

2017 ◽  
Vol 57 (4) ◽  
pp. 166-171 ◽  
Author(s):  
Chikashi FUKAYA ◽  
Mitsuru WATANABE ◽  
Kazutaka KOBAYASHI ◽  
Hideki OSHIMA ◽  
Atsuo YOSHINO ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Subthalamic Nucleus ◽  
Predictive Factors ◽  
Brain Stimulation ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Deep Brain

scholarly journals Clinical classification systems and long-term outcome in mid- and late-stage Parkinson’s disease

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Emil Ygland Rödström ◽  
Andreas Puschmann
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Nursing Home ◽  
Classification Systems ◽  
Clinical Classification ◽  
Yahr Stage ◽  
Term Outcome ◽  
Long Term Outcome ◽  
Hazard Ratios ◽  
End Stage

AbstractParkinson’s disease shows a heterogeneous course and different clinical subtyping systems have been described. To compare the capabilities of two clinical classification systems, motor-phenotypes, and a simplified clinical motor-nonmotor subtyping system, a cohort was included at mean 7.9 ± 5.3 years of disease duration, classified using both clinical systems, and reexamined and reclassified at the end of an observation period. Time-points were retrospectively extracted for five major disease milestones: death, dementia, Hoehn and Yahr stage 5, nursing home living, and walking aid use. Eighty-nine patients were observed for 8.1 ± 2.7 years after inclusion. Dementia developed in 32.9% of the patients and 36.0–67.4% reached the other milestones. Motor-phenotypes were unable to stratify risks during this period, but the worst compared with the more favorable groups in the motor-nonmotor system conveyed hazard ratios between 2.6 and 63.6 for all milestones. A clear separation of risks for dying, living at the nursing home, and reaching motor end-stage was also shown when using only postural instability and gait disorder symptoms, without weighing them against the severity of the tremor. At reexamination, 29.4% and 64.7% of patients had changed classification groups in the motor-phenotype and motor-nonmotor systems, respectively. The motor-nonmotor system thus stratified risks of reaching crucial outcomes in mid–late Parkinson’s disease far better than the well-studied motor-phenotypes. Removing the tremor aspect of motor-phenotypes clearly improved this system, however. Classifications in both systems became unstable over time. The simplification of the motor-nonmotor system was easily applicable and showed potential as a prognostic marker during a large part of Parkinson’s disease.

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