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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
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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
Figure 0

Figure 1. Factor profile for PD-ICDs. The profile summarizes the factors affecting occurrence and progression of PD-ICD. There are 70 factors affecting PD-ICD occurrence, including 25 genetic factors, 14 demographic factors, 16 PD-related factors, and 15 drug burden factors. These factors can be summarized to predict PD-ICDs from 3 aspects via a vulnerability-catalysis-stress model. Under “catalyst” conditions, the “stimulus” may produce “stress reaction” in individuals with genetic vulnerability, and chronic “stress reaction” leads eventual occurrence of PD-ICD. In addition, 9 factors are related to PD-ICD progression, including 4 internal mental factors, 2 external social factors, and 3 other factors.39 Associated with PD-ICDs in the meta-analysis by Cao et al.39 ICDs, impulse control disorders; PD, Parkinson’s disease; DAs, dopamine receptor agonists; DGRS, dopamine genetic risk score; EDS, excessive daytime sleepiness; RLS, restless legs syndrome; RBD, rapid eye movement sleep behavior disorder; LED, levodopa equivalent dose; LEDD, levodopa equivalent daily doses; DRD1, dopamine receptor D1; DRD2, dopamine receptor D2; DRD3, dopamine receptor D3; DAT, dopamine transporter; DDC, dopamine decarboxylase; GRIN2B, glutamate receptor ionotropic N-Methyl-d-aspartic acid 2B; HTR2A, serotonin receptor 2A; OPRK1, opioid receptor kappa; ANKK1, ankyrin repeat and kinase domain containing 1; OPRM1, mu opioid receptor; SLC22A1, organic cation transporter 1; COMT, catechol-O-methyltransferase; MAOB, monoamine oxidase type B; ADRA2C, adrenergic alpha2C receptor; SV2C, synaptic vesicle 2 C; SLC6A3, dopamine transporter gene; SLC6A4, serotonin transporter gene; SLC7A5, L-type amino acid transporter 1 gene; SLC18A2, monoamine transporter gene; SLC22A1, organic cation transporter gene; GBA, β-glucocerebrosidase.

Figure 1

Figure 2. Prevention-centered clinical whole-course management model for PD-ICDs. The clinical management model prototype centered on prevention, focuses on prediction, prevention, follow-up and monitoring, therapy, and recurrence prevention. With prevention at the center stage, this model shows that PD-ICD management should be persistent and continuous through the whole process of PD treatment. The solid lines with arrows indicate the management process, and the solid lines without arrows prompt relevant contents of the process. Dashed lines with arrows indicate some contributions. The curved arrows imply the model’s continuity and circularity. PD, Parkinson’s disease; ICDs, impulse control disorders; PD-ICDs, impulse control disorders in Parkinson’s disease; DAs, dopamine receptor agonists; DGRS, dopamine genetic risk score; ICD-RS, ICD-risk score; DBS, deep brain stimulation; rTMs, repetitive transcranial magnetic stimulation; CBT, cognitive-behavioral therapy.

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