Pearlson Godfrey D, Clementz Brett A, Sweeney John A, Keshavan Matcheri S, Tamminga Carol A
Olin Neuropsychiatry Research Center, Institute of Living, 200 Retreat Avenue, Hartford, CT 06106, USA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06520, USA; Department of Neurobiology, Yale University School of Medicine, New Haven, CT 06520, USA.
Department of Psychology, University of Georgia, Athens, GA 30602, USA.
Psychiatr Clin North Am. 2016 Jun;39(2):165-74. doi: 10.1016/j.psc.2016.01.001. Epub 2016 Feb 28.
Psychotic disorders, as defined by clinical features alone, overlap considerably in terms of symptoms, familial patterns, risk genes, outcome, and treatment response. As a result, numerous neurobiological measurements fail to distinguish patients with the most prevalent classic psychotic syndromes. Statistical methods applied to such biological measurements in large numbers of patients with psychosis yield novel categories that cut across traditional diagnostic boundaries. Such new classification approaches within psychosis hopefully represent an opportunity to transcend clinical phenomenologically defined syndromes in psychiatry with neurobiologically defined diseases that can advance drug discovery and support precision medicine approaches in psychiatry.
仅根据临床特征定义的精神障碍,在症状、家族模式、风险基因、预后和治疗反应方面有相当大的重叠。因此,许多神经生物学测量方法无法区分患有最常见经典精神综合征的患者。应用于大量精神病患者此类生物学测量的统计方法产生了跨越传统诊断界限的新类别。精神病学中的此类新分类方法有望提供一个机会,用神经生物学定义的疾病超越精神病学中临床现象学定义的综合征,从而推动药物研发并支持精神病学的精准医疗方法。