Efficacy of a Prediction Model-based Algorithm to PREVENT Drug-induced Impulse Control Disorders in Parkinson's Disease

Summary

Impulse control disorders and related behaviors (ICDRBs) are characterized by pathological gambling, compulsive shopping or eating, and hypersexuality, but other related behaviors have been described, e.g. hobbyism, and punding. ICDRBs are frequent in Parkinson's Disease (PD), affecting up to 50% of the patients after 5 years with major medical, social, and legal impact, with life changing consequences for patients and caregivers. The main risk factor is dopaminergic therapy, particularly the cumulative dose of dopamine agonists (DA). On the other hand, the dopaminergic therapy is necessary to control motor symptoms, and DA have demonstrated efficacy in delaying motor complications occurring in PD. Ideally, dopaminergic therapy would have to be adjusted to the individual risk of developing ICRDBs to maximize the benefit/risk ratio of each drug. However, despite several clinical risk factors associated with the risk of ICDRBs (in addition to the dopaminergic therapy), it is still not possible to predict their risk at the individual level, and not every patient treated with dopaminergic medications will develop ICDRBs. A machine learning algorithm to predict ICDRBs, based on clinical data, validated by cross-validation on independent replication cohorts has been developed. The PREVENT-ICD study proposes to test the efficacy of a new application, ICD-Shield, based on an algorithm to predict and prevent ICDs,in a multicenter randomized controlled trial to prevent ICDRBs in PD patients by proposing to the clinician treatment adjustment according to the risk predicted by the algorithm, as compared to the standard of care (SoC)

Conditions

• Parkinson Disease
• Impulse Control Disorder

Interventions

DEVICE

Algorithm-guided group

After the evaluation of the patient and the clinical inputs entered in the ICD SHIELD app including the planned choice of prescription by the neurologist for the next period, the clinician will receive the therapeutic approach recommended by the ICD SHIELD app depending on the output given by the algorithm. The clinician can repeat the use of the app if he/she plans to try various choice of prescription in the app if deemed necessary, but a single use is recommended at each visit. The neurologist will have to follow the recommendation of the ICD SHIELD app as much as possible unless judged inappropriate. The neurologist makes the final decision.

BEHAVIORAL

Standard of Care (SoC) group

In the SoC arm the patient treatment will be adapted by the neurologistbased only on their clinical appreciation and international guidelines.

Sponsors & Collaborators

• NS-PARK Network

  collaborator UNKNOWN

• Assistance Publique - Hôpitaux de Paris

  lead OTHER

Principal Investigators

• Louise-Laure Mariani · Assistance Publique - Hôpitaux de Paris

Study Design

Allocation

RANDOMIZED

Purpose

PREVENTION

Masking

DOUBLE

Model

PARALLEL

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2026-07-01

Primary Completion

2031-06-01

Completion

2031-06-01