BACKGROUND The detection and diagnosis of Parkinson's disease (PD) is of paramount importance for optimal treatment and for participation in disease-modifying trials. The present study assesses the diagnostic accuracy of the Baylor Functional Assessment Scale (BFAS), a self-administered screening instrument, designed to distinguish between patients with PD, other disorders (OD), and healthy controls (HC). METHODS Using the BFAS, we screened a total of 265 individuals including patients diagnosed at the Baylor College of Medicine Parkinson's Disease Center and Movement Disorders Clinic (PDCMDC) with PD (N = 63) and with OD (N = 47), and HC (N = 155) participants recruited from the PDCMDC and community health fairs. RESULTS Significant group differences in BFAS total scores were found (F = 172.6; p < 0.001) between patients with PD and those with OD and both groups endorsed more items than the HC group. A cut-point of 3 on the BFAS total score maximized the sensitivity (85.7%, 95%CI: 74.61% to 93.25%) and the specificity (87.7%, 05% Ci: 81.52% to 92.46%) for distinguishing PD from HC with a negative predictive value (NPV) of 93.8% and a negative likelihood ratio (NLR) of 0.16. At a cut-point of 5, the BFAS maximized sensitivity (76%, 95% CI: 63.79% to 86.02%) and specificity (72%, 95% CI: 57.36% to 84.38%) for distinguishing PD from OD with a NPV of 69.4% and a NLR of 0.33. CONCLUSIONS In this pilot study, the BFAS provides a sensitive and specific screening tool for PD that helps differentiate individuals with PD from HC and from those with other disorders. Through future validation studies, the BFAS may be a useful instrument for identifying individuals with PD and for recruitment into PD clinical trials.

中文翻译：

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帕金森病自我管理筛查试验的验证

背景 帕金森病 (PD) 的检测和诊断对于最佳治疗和参与改善疾病的试验至关重要。本研究评估了贝勒功能评估量表 (BFAS) 的诊断准确性，这是一种自我管理的筛查工具，旨在区分 PD、其他疾病 (OD) 和健康对照 (HC) 患者。方法使用 BFAS，我们筛选了总共 265 个人，包括在贝勒医学院帕金森病中心和运动障碍诊所 (PDDCMDC) 诊断出的 PD (N = 63) 和 OD (N = 47) 和 HC ( N = 155) 从 PDCMDC 和社区健康展览会招募的参与者。结果 BFAS 总分存在显着的组间差异（F = 172.6；p < 0。001) PD 患者和 OD 患者之间，并且两组都比 HC 组背书更多的项目。BFAS 总分的分界点 3 使区分 PD 与 HC 的敏感性（85.7%、95%CI：74.61% 至 93.25%）和特异性（87.7%、05% Ci：81.52% 至 92.46%）最大化阴性预测值 (NPV) 为 93.8%，阴性似然比 (NLR) 为 0.16。在分界点 5 处，BFAS 最大程度地提高了使用 NPV 区分 PD 和 OD 的灵敏度（76%、95% CI：63.79% 至 86.02%）和特异性（72%、95% CI：57.36% 至 84.38%）为 69.4%，NLR 为 0.33。结论 在这项初步研究中，BFAS 为 PD 提供了一种敏感和特异的筛查工具，有助于区分 PD 患者与 HC 患者以及其他疾病患者。通过未来的验证研究，