| Literature DB >> 31311842 |
Fahd Baig1, Mark J Kelly1, Michael A Lawton1, Claudio Ruffmann1, Michal Rolinski1, Johannes C Klein1, Thomas Barber1, Christine Lo1, Yoav Ben-Shlomo1, David Okai1, Michele T Hu2.
Abstract
OBJECTIVE: To describe the prevalence, natural history, and risk factors for impulse control behaviors (ICBs) among people with Parkinson disease (PD), those with REM sleep behavior disorder (RBD), and controls.Entities:
Year: 2019 PMID: 31311842 PMCID: PMC6715510 DOI: 10.1212/WNL.0000000000007942
Source DB: PubMed Journal: Neurology ISSN: 0028-3878 Impact factor: 9.910
Figure 1Participant selection and results from in-depth interviews
This figure illustrates the selection process for in-depth interviews with the Questionnaire for Impulse Control Disorders in Parkinson's Disease (QUIP) screening tool and demonstrates the changes in impulse control behavior (ICB) category between the first and second interviews. Participants with subsyndromal impulse control disorder (ICD) at the first interview are separated into 2 categories: those who had previously met the criteria for PD-ICD (retrospectively) and those whose symptoms had always been subsyndromal ICD. PD = Parkinson disease.
Baseline demographics of included participants with PD
Figure 2Categories of ICB found on screening at baseline and follow-up
This figure demonstrates the percentage of cases of Parkinson disease (PD) screening positive for each impulse control behavior (ICB) at each of the first 3 visits, each ≈18 months apart. If an individual had screened positive for more >1 PD-ICB, each positive result has been included.
Demographics and interview results of participants with PD with ICBs on in-depth interview
Figure 3Categories of ICB at baseline and follow-up interview
Percentage frequency of impulse control behavior (ICB) domains in the in-depth first interview (n = 38) and follow-up interview (n = 28) (several participants exhibited >1 ICB). DDS = dopamine dysregulation syndrome; ICD = impulse control disorder.
Crude and adjusted odds ratios for predictors of ICB using multiple imputation