Medication Side Effect Profiles in PD Patients in a Safety-Net Hospital

Background: Compulsive behavior, dyskinesias, motor fluctuations, and hallucinations are common Parkinson’s disease (PD) medication side effects. These are yet to be examined in relation to race and level of education. The goal of this analysis was to identify socioeconomic or clinical variables that are associated with compulsive behavior, dyskinesias, motor fluctuations, and hallucinations in patients in a safety-net hospital. Methods: A movement disorder patient database containing 452 patients with idiopathic PD was analyzed for differences in PD medication side effects using univariate and multivariate logistic regression analysis. Race, sex, and level of education were evaluated as possible confounders. Results: A greater proportion of the patients in this study were Caucasian males. The only variable associated with compulsive behavior was age, with higher age having a protective effect (p = 0.0336). Disease duration (defined as time since the onset of symptoms), diagnosis duration (time since formal diagnosis), and level of education were significantly associated with dyskinesia inunivariate analysis (p =< 0.0001, <0.0001, 0.1236 respectively). However, diagnosis duration was the only variable significantly associated with dyskinesia in multivariate analysis (p = 0.0038), in addition to a borderline significant association when comparing individuals with graduate degree to those who had completed high school education or less (p = 0.0599), with a protective effect of higher education. Disease duration, diagnosis duration, and use of monoamineoxidase inhibitors were also significantly associated with motor fluctuations in the univariate analysis, while only diagnosis duration was significantly associated with motor fluctuations in multivariate analysis (p = 0.0035) with longer diagnosis duration associated with higher risk of motor fluctuations. Age, disease duration, and diagnosis duration were associated with an increased risk of hallucinations in univariate analysis (p =< 0.0001, <0.0001, <0.0001 respectively), but age and disease duration were the only variables associated with hallucinations in multivariate analysis (p = 0.0009, 0.1196 respectively). Race was not associated with a higher risk of compulsive behavior, dyskinesias, motor fluctuations, or hallucinations. Conclusion: Compulsive behavior, dyskinesias, motor fluctuations, and hallucinations in our PD population may be associated with differences in socioeconomic status and access to care, but not with differences in race.

Exploring Gender-Associated Socioeconomic Differences in Parkinson’s Disease

Background: Research on gender in Parkinson’s disease (PD) frequently focuses on clinical differences between men and women. Socioeconomic factors such as race, ethnicity, insurance type, and level of educational attainment, have not been extensively examined in relation to gender differences in PD. The goal of this study was to identify differences in PD presentation in men and women, and identify socioeconomic factors that may confound such differences. Methods: A movement disorder patient database containing 445 patients with idiopathic PD was analyzed for gender differences in motor symptoms and disease complications using linear or logistic regression. Socioeconomic variables were then evaluated as possible confounders. Results: A greater proportion of women were non-white (p < 0.05). Univariate analysis of gender, and multivariate analysis controlling for age at diagnosis and socioeconomic factors were concordant in demonstrating increased frequency of motor fluctuations and dyskinesia in women (p < 0.05). Controlled, multivariate analysis, when compared to univariate analysis, uniquely demonstrated that women were less likely to experience dementia and autonomic dysfunction, relative to men (p < 0.05). Conclusion: Women with PD are susceptible to motor fluctuations and dyskinesia, but may be relatively protected against dementia and autonomic dysfunction. Women and men with PD in our population had different socioeconomic profiles, which may have confounded some gender-associated differences.