背景:冲动控制障碍(ICD)是帕金森氏病(PD)的已知精神病,尤其是抗帕金森病治疗的副作用.筛查易感患者并避免高危治疗是降低PD患者ICD负担的有效方法。因此,我们的目标是确定瑞典总人口中PD患者ICD的危险因素.
方法:我们的纵向研究基于瑞典国家患者登记处和处方药物登记处所有PD患者的记录(n=55235)。在人口统计学因素上,将有赌博障碍和其他ICD的患者与对照组进行了比较,精神病合并症,抗帕金森病多巴胺能治疗和晚期疾病的治疗。使用逻辑回归和相对频率比较(Fisher精确检验)分析潜在危险因素。
结果:事件赌博障碍的主要预测因素是多巴胺激动剂治疗(频率比1.4,p=0.058),单胺氧化酶B(MAO-B)抑制剂(频率比1.8,p=0.006)和成瘾性疾病药物的处方(OR5.85,95%CI2.00至17.10)。其他ICD的主要预测因子是多巴胺激动剂治疗(频率比1.6,p=0.003),焦虑症(OR7.04,95%CI2.96至16.71)和酒精以外的物质使用障碍(OR5.66,95%CI1.75至18.23)。
结论:我们的结果支持先前已确定的ICD事件的可能危险因素,例如多巴胺激动剂治疗,并增加对MAO-B抑制剂治疗和特定精神病合并症等危险因素的关注。这些发现使得能够针对个体患者特定的风险特征定制抗帕金森病治疗。
BACKGROUND: Impulse control disorders (ICDs) are known psychiatric conditions in Parkinson\'s disease (PD), especially as a side effect of antiparkinsonian therapy. Screening for vulnerable patients and avoiding high-risk treatments can be an effective approach to reduce the ICD burden in patients with PD. Thus, our goal was to identify risk factors for ICDs in PD in the Swedish total population.
METHODS: Our longitudinal study was based on records of all patients with PD in the Swedish National Patient Registries and the Prescribed Drug Register (n=55 235). Patients with incident gambling disorder and other ICDs were compared with a control group on demographic factors, psychiatric comorbidity, antiparkinsonian dopaminergic treatment and therapies for advanced disease. Potential risk factors were analysed using logistic regressions and relative frequency comparisons (Fisher\'s exact test).
RESULTS: Main predictors for incident gambling disorder were treatment with dopamine agonists (Frequency ratio 1.4, p=0.058), monoamine oxidase B (MAO-B) inhibitors (Frequency ratio 1.8, p=0.006) and a prescription for drugs used in addictive disorders (OR 5.85, 95% CI 2.00 to 17.10). Main predictors for other ICDs were dopamine agonist treatment (frequency ratio 1.6, p=0.003), anxiety disorders (OR 7.04, 95% CI 2.96 to 16.71) and substance use disorders other than alcohol (OR 5.66, 95% CI 1.75 to 18.23).
CONCLUSIONS: Our results support possible risk factors for incident ICDs that had previously been identified, like dopamine agonist treatment and raise additional attention for risk factors like MAO-B inhibitor treatment and specific psychiatric comorbidities. These findings enable tailoring antiparkinsonian therapy to individual patient-specific risk profiles.