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Clinical management model for impulse control disorders in Parkinson’s disease

Published online by Cambridge University Press:  29 October 2024

Han Li
Affiliation:
Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China
Yong Yang
Affiliation:
Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China
Liying Yang
Affiliation:
Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China
Anmu Xie*
Affiliation:
Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China Institute of Cerebrovascular Diseases, The Affiliated Hospital of Qingdao University, Qingdao, China
*
Corresponding author: Anmu Xie; Email: xieanmu@163.com

Abstract

Over the last decade, we have gained a better understanding of impulse control disorder in Parkinson’s disease (PD-ICD), a medication complication in PD. Researchers were aware of its complexity and took efforts to learn more about its diagnostic and treatment possibilities. Nevertheless, clinical management for it is currently neglected. We conducted a narrative overview of literature published from 2012 to October 2023 on various aspects of clinical management for PD-ICD. A potential “susceptibility-catalytic-stress” model in the development of PD-ICD was proposed and a profile encoding predictors for PD-ICD was created. Based on these predictors, some methods for prediction were recently developed for better prediction, such as the polymorphic dopamine genetic risk score and the clinic-genetic ICD-risk score. A variety of treatment options, including dose reduction of dopamine receptor agonists (DAs), DAs removal, DAs switch, and add-on therapy, are investigated with inconsistent reports. Based on current findings, we developed a clinical management model prototype centered on prevention, consisting of prediction, prevention, follow-up and monitoring, therapy, and recurrence prevention, for clinical reference, and further proposed 4 key clinical management principles, including standardization, prediction centered, persistence, and whole course.

Information

Type
Review
Copyright
© The Author(s), 2024. Published by Cambridge University Press

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