Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Department of Neurology, Pennsylvania State University College of Medicine, Hershey, PA, USA.
J Parkinsons Dis. 2023;13(5):729-742. doi: 10.3233/JPD-230053.
Large prospective studies are essential for investigating the environmental causes of Parkinson's disease (PD), but PD diagnosis via clinical exams is often infeasible in such studies.
To present case ascertainment strategy and data collection in a US cohort of women.
In the Sister Study (n = 50,884, baseline ages 55.6±9.0), physician-made PD diagnoses were first reported by participants or their proxies. Cohort-wide follow-up surveys collected data on subsequent diagnoses, medication usage and PD-relevant motor and nonmotor symptoms. We contacted self-reported PD cases and their treating physicians to obtain relevant diagnostic and treatment history. Diagnostic adjudication was made via expert review of all available data, except nonmotor symptoms. We examined associations of nonmotor symptoms with incident PD, using multivariable logistic regression models and reported odds ratio (OR) and 95% confidence intervals (CI).
Of the 371 potential PD cases identified, 242 diagnoses were confirmed. Compared with unconfirmed cases, confirmed cases were more likely to report PD diagnosis from multiple sources, medication usage, and motor and nonmotor features consistently during the follow-up. PD polygenic risk score was associated with confirmed PD (ORinter-quartile range = 1.74, 95% CI: 1.45-2.10), but not with unconfirmed cases (corresponding OR = 1.05). Hyposmia, dream-enacting behaviors, constipation, depression, unexplained weight loss, dry eyes, dry mouth, and fatigue were significantly related to PD risk, with ORs from 1.71 to 4.88. Only one of the eight negative control symptoms was associated with incident PD.
Findings support our PD case ascertainment approach in this large cohort of women. PD prodromal presentation is likely beyond its well-documented profile.
大规模前瞻性研究对于探究帕金森病(PD)的环境病因至关重要,但在这类研究中,通过临床检查来诊断 PD 往往不可行。
介绍一项美国女性队列的病例确定策略和数据收集方法。
在“姐妹研究”(n=50884,基线年龄 55.6±9.0 岁)中,首先由参与者或其代理人报告医生做出的 PD 诊断。全队列随访调查收集了随后诊断、药物使用以及与 PD 相关的运动和非运动症状的数据。我们联系了自我报告的 PD 病例及其治疗医生,以获取相关的诊断和治疗史。除非运动症状外,所有可用数据的专家审查用于诊断确认。我们使用多变量逻辑回归模型,报告比值比(OR)和 95%置信区间(CI),来检验非运动症状与新发 PD 的关联。
在 371 例潜在 PD 病例中,确定了 242 例确诊病例。与未确诊病例相比,确诊病例更有可能从多个来源报告 PD 诊断、药物使用以及在随访期间持续出现运动和非运动特征。PD 多基因风险评分与确诊 PD 相关(OR 四分位距=1.74,95%CI:1.45-2.10),但与未确诊病例无关(相应 OR=1.05)。嗅觉减退、梦境行为、便秘、抑郁、不明原因体重减轻、眼睛干涩、口干和疲劳与 PD 风险显著相关,OR 范围为 1.71 至 4.88。八个阴性对照症状中只有一个与新发 PD 相关。
研究结果支持我们在这个大型女性队列中使用的 PD 病例确定方法。PD 前驱表现可能超出了其公认的特征。