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精神分裂症的预测因素——综述

Predictors of schizophrenia--a review.

作者信息

Mäki Pirjo, Veijola Juha, Jones Peter B, Murray Graham K, Koponen Hannu, Tienari Pekka, Miettunen Jouko, Tanskanen Päivikki, Wahlberg Karl-Erik, Koskinen Johanna, Lauronen Erika, Isohanni Matti

机构信息

Department of Psychiatry, University of Oulu, PO Box 5000, FIN-90014 University of Oulu, Finland.

出版信息

Br Med Bull. 2005 Jun 9;73-74:1-15. doi: 10.1093/bmb/ldh046. Print 2005.

Abstract

Schizophrenia is an aetiologically heterogeneous syndrome that usually becomes overtly manifest in adolescence and early adulthood, but in many cases subtle impairments in neurointegrative function are present from birth; hence it is considered to be a disorder with a neurodevelopmental component. The strongest risk factor that has been identified is familial risk with genetic loading. Other risk factors include pregnancy and delivery complications, infections during pregnancy, disturbances of early neuromotor and cognitive development and heavy cannabis use in adolescence. Unfortunately, to date it has not been possible to utilize the predictors of the disorder that have been identified in primary preventative interventions in a general population. However, some authors have claimed that in future it might be possible to reduce the risk for developing schizophrenia through general health policy. In clinical settings, it is helpful to map out possible early risk factors, at least familial risk for psychosis, especially in child, adolescent and young adult mental patients. Furthermore, in the future we may have predictive models combining data from genetic factors for schizophrenia, antenatal risk factors, childhood and adolescent development and clinical symptomatology, as well as brain structural and functional abnormalities.

摘要

精神分裂症是一种病因异质性综合征,通常在青春期和成年早期明显显现,但在许多情况下,神经整合功能的细微损害从出生就存在;因此,它被认为是一种具有神经发育成分的疾病。已确定的最强风险因素是具有遗传负荷的家族风险。其他风险因素包括妊娠和分娩并发症、孕期感染、早期神经运动和认知发育障碍以及青少年大量使用大麻。不幸的是,迄今为止,在一般人群的一级预防干预中,尚无法利用已确定的该疾病预测因素。然而,一些作者声称,未来通过一般卫生政策有可能降低患精神分裂症的风险。在临床环境中,梳理出可能的早期风险因素是有帮助的,至少是精神病的家族风险,特别是在儿童、青少年和年轻成人精神患者中。此外,未来我们可能会有结合精神分裂症遗传因素、产前风险因素、儿童和青少年发育以及临床症状学以及脑结构和功能异常数据的预测模型。

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