Buchy Lisa, Perkins Diana, Woods Scott W, Liu Lu, Addington Jean
Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada.
Department of Psychiatry, University of North Carolina, Chapel Hill, NC, United States.
Schizophr Res. 2014 Jul;156(2-3):277-80. doi: 10.1016/j.schres.2014.04.021. Epub 2014 May 14.
Elevated rates of substance use (alcohol, tobacco, cannabis) have been reported in people at clinical high risk (CHR) of developing psychosis and there is some evidence that substance use may be higher in those who convert to a psychosis compared to non-converters. However little is known about the predictive value of substance use on risk of conversion to psychosis in those at CHR of psychosis. In the current study, 170 people at CHR of psychosis were assessed at baseline on severity of alcohol, tobacco and cannabis using the Alcohol and Drug Use Scale. Participants were recruited across three sites over a four year period as part of the Enhancing the Prospective Prediction of Psychosis (PREDICT) study. Predictors of conversion to psychosis were examined using Cox proportional hazards models. Results revealed that low use of alcohol, but neither cannabis use nor tobacco use at baseline, contributed to the prediction of psychosis in the CHR sample. Prediction algorithms incorporating combinations of additional baseline variables known to be associated with psychotic conversion may result in increased predictive power compared with substance use alone.
据报道,处于精神病临床高危(CHR)状态的人群中物质使用(酒精、烟草、大麻)率较高,并且有一些证据表明,与未转化为精神病的人相比,转化为精神病的人物质使用可能更高。然而,对于处于精神病CHR状态的人,物质使用对转化为精神病风险的预测价值知之甚少。在当前研究中,使用酒精和药物使用量表在基线时对170名处于精神病CHR状态的人进行了酒精、烟草和大麻使用严重程度评估。作为增强精神病前瞻性预测(PREDICT)研究的一部分,在四年时间里从三个地点招募了参与者。使用Cox比例风险模型检查转化为精神病的预测因素。结果显示,在CHR样本中,基线时酒精使用量低,但大麻使用和烟草使用均不能预测精神病。与仅使用物质使用情况相比,纳入已知与精神病转化相关的其他基线变量组合的预测算法可能会提高预测能力。