Fu Emery J, Cadenhead Kristin S
Department of Psychiatry, 0810, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Curr Psychos Ther Rep. 2005 Dec 1;3(4):169-174. doi: 10.1007/BF02629450.
Further understanding of the schizophrenia spectrum has helped to define the prodrome of the illness, leading to hopes of earlier identification and intervention in susceptible, at-risk individuals. Given the heterogeneity and comorbidity observed in the clinically and demographically identified prodromal sample, it is essential that neurobiological markers that are more closely linked to brain function, and perhaps the ability to predict evolution of psychosis, be identified. Ultimately, it may be possible to identify an algorithm of risk factors that will combine clinical and demographic risk factors with vulnerability markers associated with later development of schizophrenia to better target at-risk individuals or preventative treatment.
对精神分裂症谱系的进一步了解有助于明确该疾病的前驱期,从而带来了在易感的高危个体中更早识别和干预的希望。鉴于在临床和人口统计学确定的前驱期样本中观察到的异质性和共病现象,识别与脑功能更密切相关、或许还能预测精神病演变的神经生物学标志物至关重要。最终,有可能确定一种风险因素算法,将临床和人口统计学风险因素与与精神分裂症后期发展相关的易感性标志物相结合,以便更好地针对高危个体或进行预防性治疗。