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Perspective Biological Markers for Autism Spectrum Disorders: Advantages of the Use of Receiver Operating Characteristic Curves in Evaluating Marker Sensitivity and Specificity

机译:自闭症谱系障碍的透视生物学标志物:在评估标志物敏感性和特异性时使用接收器操作特征曲线的优势

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Autism Spectrum Disorders (ASD) are a heterogeneous group of neurodevelopmental disorders. Recognized causes of ASD include genetic factors, metabolic diseases, toxic and environmental factors, and a combination of these. Available tests fail to recognize genetic abnormalities in about 70% of ASD children, where diagnosis is solely based on behavioral signs and symptoms, which are difficult to evaluate in very young children. Although it is advisable that specific psychotherapeutic and pedagogic interventions are initiated as early as possible, early diagnosis is hampered by the lack of nongenetic specific biological markers. In the past ten years, the scientific literature has reported dozens of neurophysiological and biochemical alterations in ASD children; however no real biomarker has emerged. Such literature is here reviewed in the light of Receiver Operating Characteristic (ROC) analysis, a very valuable statistical tool, which evaluates the sensitivity and the specificity of biomarkers to be used in diagnostic decision making. We also apply ROC analysis to some of our previously published data and discuss the increased diagnostic value of combining more variables in one ROC curve analysis. We also discuss the use of biomarkers as a tool for advancing our understanding of nonsyndromic ASD.
机译:自闭症谱系障碍(ASD)是一组神经发育障碍的异质性疾病。公认的ASD原因包括遗传因素,代谢疾病,毒性和环境因素,以及这些因素的组合。可用的测试未能识别约70%的ASD儿童的遗传异常,其中诊断仅基于行为体征和症状,而这些行为体征和症状很难在很小的儿童中进行评估。尽管建议尽早开始特定的心理治疗和教学干预措施,但由于缺乏非遗传性的特定生物学标记,因此早期诊断受到了阻碍。在过去的十年中,科学文献报道了ASD儿童的数十种神经生理和生化改变。但是,还没有真正的生物标志物出现。本文根据接收者操作特征(ROC)分析(一种非常有价值的统计工具)对这些文献进行了综述,该工具评估了用于诊断决策的生物标志物的敏感性和特异性。我们还将ROC分析应用于我们以前发布的一些数据,并讨论在一个ROC曲线分析中结合更多变量的增加的诊断价值。我们还讨论了将生物标志物用作促进我们对非综合征性ASD理解的工具。

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