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首页> 外文期刊>European journal of neurology: the official journal of the European Federation of Neurological Societies >The PRIPS study: Screening battery for subjects at risk for Parkinson's disease
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The PRIPS study: Screening battery for subjects at risk for Parkinson's disease

机译：PRIPS研究：为有帕金森病风险的受试者筛选电池

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Background and purpose: Screening batteries to narrow down a target-at-risk population are essential for trials testing neuroprotective compounds aiming to delay or prevent onset of Parkinson's disease (PD). Methods: The PRIPS study focuses on early detection of incident PD in 1847 at baseline PD-free subjects, and assessed age, male gender, positive family history, hyposmia, subtle motor impairment and enlarged substantia nigra hyperechogenicity (SN+). Results: After 3 years follow-up 11 subjects had developed PD. In this analysis of the secondary outcome parameters, sensitivity and specificity of baseline markers for incident PD were calculated in 1352 subjects with complete datasets (10 PD patients). The best approach for prediction of incident PD comprised three steps: (i) prescreening for age, (ii) primary screening for positive family history and/or hyposmia, and (iii) secondary screening for SN+. Conclusion: With this approach, one out of 16 positively screened participants developed PD compared to one out of 135 in the original cohort. This corresponds to a sensitivity of 80.0%, a specificity of 90.6% and a positive predictive value of 6.1%. These values are higher than for any single screening instrument but still too low for a feasible and cost-effective screening strategy which might require longer follow-up intervals and application of additional instruments.
机译：背景与目的：筛选电池以缩小目标人群的范围对于测试旨在延缓或预防帕金森氏病（PD）的神经保护性化合物的试验至关重要。方法：PRIPS研究的重点是于1847年在无基线PD的受试者中早期检测到PD事件，并评估了年龄，男性，阳性家族史，低渗症，轻微运动障碍和黑质超强回声（SN +）。结果：3年的随访后，有11名受试者发展为PD。在对次要结果参数的分析中，在1352名具有完整数据集的受试者（10名PD患者）中计算了入射PD基线标记的敏感性和特异性。预测PD的最佳方法包括三个步骤：（i）年龄预筛查;（ii）阳性家族史和/或低渗血症的初筛;以及（iii）SN +的二次筛查。结论：采用这种方法，在16名接受过积极筛查的参与者中，有1名患PD，而在原始队列中只有135名。这对应于80.0％的灵敏度，90.6％的特异性和6.1％的阳性预测值。这些值高于任何单个筛查仪器，但对于可行且具成本效益的筛查策略而言仍然太低，因为这可能需要更长的随访间隔和应用其他仪器。

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