Clinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa, Italy.
IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Brain. 2021 Feb 12;144(1):278-287. doi: 10.1093/brain/awaa365.
This is an international multicentre study aimed at evaluating the combined value of dopaminergic neuroimaging and clinical features in predicting future phenoconversion of idiopathic REM sleep behaviour (iRBD) subjects to overt synucleinopathy. Nine centres sent 123I-FP-CIT-SPECT data of 344 iRBD patients and 256 controls for centralized analysis. 123I-FP-CIT-SPECT images were semiquantified using DaTQUANTTM, obtaining putamen and caudate specific to non-displaceable binding ratios (SBRs). The following clinical variables were also analysed: (i) Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale, motor section score; (ii) Mini-Mental State Examination score; (iii) constipation; and (iv) hyposmia. Kaplan-Meier survival analysis was performed to estimate conversion risk. Hazard ratios for each variable were calculated with Cox regression. A generalized logistic regression model was applied to identify the best combination of risk factors. Bayesian classifier was used to identify the baseline features predicting phenoconversion to parkinsonism or dementia. After quality check of the data, 263 iRBD patients (67.6 ± 7.3 years, 229 males) and 243 control subjects (67.2 ± 10.1 years, 110 males) were analysed. Fifty-two (20%) patients developed a synucleinopathy after average follow-up of 2 years. The best combination of risk factors was putamen dopaminergic dysfunction of the most affected hemisphere on imaging, defined as the lower value between either putamina (P < 0.000001), constipation, (P < 0.000001) and age over 70 years (P = 0.0002). Combined features obtained from the generalized logistic regression achieved a hazard ratio of 5.71 (95% confidence interval 2.85-11.43). Bayesian classifier suggested that patients with higher Mini-Mental State Examination score and lower caudate SBR asymmetry were more likely to develop parkinsonism, while patients with the opposite pattern were more likely to develop dementia. This study shows that iRBD patients older than 70 with constipation and reduced nigro-putaminal dopaminergic function are at high risk of short-term phenoconversion to an overt synucleinopathy, providing an effective stratification approach for future neuroprotective trials. Moreover, we provide cut-off values for the significant predictors of phenoconversion to be used in single subjects.
这是一项国际性多中心研究,旨在评估多巴胺能神经影像学与临床特征相结合,预测特发性 REM 睡眠行为障碍(iRBD)患者向明显的神经核团病转化的未来表型。9 个中心为集中分析发送了 344 名 iRBD 患者和 256 名对照者的 123I-FP-CIT-SPECT 数据。使用 DaTQUANTTM 对半定量分析 123I-FP-CIT-SPECT 图像,获得纹状体和尾状核特定的不可置换结合比(SBR)。还分析了以下临床变量:(i)运动障碍协会赞助的统一帕金森病评定量表修订版,运动部分评分;(ii)简易精神状态检查评分;(iii)便秘;(iv)嗅觉减退。进行 Kaplan-Meier 生存分析以估计转化风险。使用 Cox 回归计算每个变量的风险比。应用广义逻辑回归模型确定风险因素的最佳组合。贝叶斯分类器用于识别预测向帕金森病或痴呆转化的基线特征。对数据进行质量检查后,分析了 263 名 iRBD 患者(67.6±7.3 岁,229 名男性)和 243 名对照者(67.2±10.1 岁,110 名男性)。52 名(20%)患者在平均 2 年的随访后出现神经核团病。最佳风险因素组合是最受影响半球的纹状体多巴胺能功能障碍,影像学定义为两侧纹状体中较低的值(P<0.000001),便秘(P<0.000001)和年龄超过 70 岁(P=0.0002)。广义逻辑回归获得的综合特征的风险比为 5.71(95%置信区间 2.85-11.43)。贝叶斯分类器提示,简易精神状态检查评分较高和尾状核 SBR 不对称性较低的患者更有可能发展为帕金森病,而相反模式的患者更有可能发展为痴呆。这项研究表明,70 岁以上的 iRBD 患者伴有便秘和黑质纹状体多巴胺能功能降低,短期向明显的神经核团病转化的风险较高,为未来的神经保护试验提供了有效的分层方法。此外,我们提供了用于单个人的表型转化的显著预测因子的截断值。