Emilio Fernández-Espejo, Fernando Rodríguez de Fonseca
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Specific binding ratio (SBR) of <sup>123</sup>I-Ioflupane and the whole striatum asymmetry index (SASI) were calculated. Data were analyzed with univariate/multivariate models as well as receiver operating characteristic (ROC) curves.</p><p><strong>Results: </strong>A logistic regression model adjusting for confounding risk factors of depression indicates that SASI and PD duration are associated with the odds of having parkinsonian depression. SASI is the strongest predictor of risk of parkinsonian depression. Following ROC analysis, SASI is found to be an accurate factor for detecting parkinsonian depression because a cutoff value of 3.4895 of SASI shows good accuracy (0.813), sensitivity (81.1%), and specificity (80%). Higher SASI is also linked to more disease-related limitations in activities of daily living.</p><p><strong>Conclusion: </strong>The whole SASI is the strongest predictor of risk of parkinsonian depression. 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引用次数: 0
摘要
背景:抑郁症是帕金森病(PD)患者中最常见的精神疾病。许多研究表明,纹状体中多巴胺能末梢和多巴胺转运体(DAT)表达的丧失在帕金森病抑郁症中起着直接作用:目的:研究DAT神经影像与帕金森病抑郁风险之间的关系:从2015年到2023年,采用广泛的方案对198名帕金森病患者(101名抑郁症患者,97名非抑郁症患者)进行了评估。用123I-Ioflupane单光子发射计算机断层扫描评估纹状体终端的DAT可用性。计算了 123I-Ioflupane 的特异性结合率 (SBR) 和整个纹状体不对称指数 (SASI)。数据采用单变量/多变量模型以及接收器操作特征曲线(ROC)进行分析:结果:调整了抑郁症混杂风险因素的逻辑回归模型表明,SASI和帕金森病持续时间与帕金森抑郁症的患病几率有关。SASI 是帕金森抑郁症风险的最强预测因子。根据 ROC 分析,SASI 是检测帕金森抑郁症的准确因素,因为 SASI 的临界值 3.4895 显示出良好的准确性(0.813)、敏感性(81.1%)和特异性(80%)。较高的 SASI 也与日常生活活动中更多与疾病相关的限制有关:结论:整体 SASI 是帕金森抑郁风险的最强预测指标。结论:整体 SASI 是预测帕金森抑郁风险的最有力指标,其研究结果对评估帕金森病患者的抑郁情况很有价值。
Association of Hemispheric Asymmetry of Dopamine-Transporter Binding with Risk of Parkinsonian Depression.
Background: Depression is the most common psychiatric disorder diagnosed in patients with Parkinson's disease (PD). A direct role in PD depression for loss of dopaminergic terminals and dopamine-transporter (DAT) expression in the striatum is revealed by many studies.
Objectives: The objective was to discern the relationship between DAT neuroimaging and risk of depression in PD.
Methods: One hundred and ninety-eight PD patients (101 with depression, 97 without depression) were evaluated using an extensive protocol from 2015 to 2023. DAT availability at striatal terminals was assessed with single-photon emission computed tomography with 123I-Ioflupane. Specific binding ratio (SBR) of 123I-Ioflupane and the whole striatum asymmetry index (SASI) were calculated. Data were analyzed with univariate/multivariate models as well as receiver operating characteristic (ROC) curves.
Results: A logistic regression model adjusting for confounding risk factors of depression indicates that SASI and PD duration are associated with the odds of having parkinsonian depression. SASI is the strongest predictor of risk of parkinsonian depression. Following ROC analysis, SASI is found to be an accurate factor for detecting parkinsonian depression because a cutoff value of 3.4895 of SASI shows good accuracy (0.813), sensitivity (81.1%), and specificity (80%). Higher SASI is also linked to more disease-related limitations in activities of daily living.
Conclusion: The whole SASI is the strongest predictor of risk of parkinsonian depression. The findings could be valuable in evaluating depression in PD patients.
期刊介绍:
Movement Disorders Clinical Practice- is an online-only journal committed to publishing high quality peer reviewed articles related to clinical aspects of movement disorders which broadly include phenomenology (interesting case/case series/rarities), investigative (for e.g- genetics, imaging), translational (phenotype-genotype or other) and treatment aspects (clinical guidelines, diagnostic and treatment algorithms)