Tognin Stefania, Vieira Sandra, Oliver Dominic, Cullen Alexis E, Kempton Mathew J, Fusar-Poli Paolo, Mechelli Andrea, Dazzan Paola, Merritt Kate, Maat Arija, de Haan Lieuwe, Lawrie Stephen M, van Amelsvoort Thérèse, Arango Celso, Nelson Barnaby, Galderisi Silvana, Bressan Rodrigo, Kwon Jun Soo, Mizrahi Romina, Kahn Rene S, McGuire Philip
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, Denmark 458 Hill, SE5 8AF, London, UK.
Outreach and Support in South London (OASIS), South London and Maudsley NHS Foundation Trust, London, UK.
Schizophrenia (Heidelb). 2025 Apr 17;11(1):66. doi: 10.1038/s41537-025-00598-x.
Predicting outcomes in individuals at clinical high risk (CHR) of developing psychosis remains challenging using clinical metrics alone. The PSYSCAN project aimed to enhance predictive value by integrating data across clinical, environmental, neuroimaging, cognitive, and peripheral blood biomarkers. PSYSCAN employed a naturalistic, prospective design across 12 sites (Europe, Australia, Asia, Americas). Assessments were conducted at baseline, 3, 6, and 12 months, with follow-ups at 18 and 24 months to evaluate clinical and functional outcomes. The study included 238 CHR individuals and 134 healthy controls (HC). At baseline, CHR and HC groups differed significantly in age, education, IQ, and vocational and relationship status. Cannabis and tobacco use did not significantly differ between groups, however CHR individuals had higher proportion of moderate to high risk of tobacco abuse. A substantial portion of the CHR sample met DSM criteria for anxiety (53.4%) and/or mood disorders (52.9%), with some prescribed antidepressants (38.7%), antipsychotics (13.9%), or benzodiazepines (16.4%). Over the follow-up period, 25 CHR individuals (10.5%) transitioned to psychosis. However, the CHR group as a whole showed improvements in functioning and attenuated psychotic symptoms. Similar to other recent multi-centre studies, the CHR cohort exhibits high comorbidity rates and relatively low psychosis transition rates. These findings highlight the clinical heterogeneity within CHR populations and suggest that outcomes extend beyond psychosis onset, reinforcing the need for broader prognostic models that consider functional and transdiagnostic outcomes.
仅使用临床指标来预测临床高危(CHR)个体发展为精神病的结果仍然具有挑战性。PSYSCAN项目旨在通过整合临床、环境、神经影像、认知和外周血生物标志物的数据来提高预测价值。PSYSCAN在12个地点(欧洲、澳大利亚、亚洲、美洲)采用了自然主义的前瞻性设计。在基线、3个月、6个月和12个月时进行评估,并在18个月和24个月时进行随访,以评估临床和功能结果。该研究包括238名CHR个体和134名健康对照(HC)。在基线时,CHR组和HC组在年龄、教育程度、智商以及职业和关系状况方面存在显著差异。两组之间大麻和烟草使用情况没有显著差异,然而CHR个体中烟草滥用中度至高度风险的比例更高。相当一部分CHR样本符合焦虑症(53.4%)和/或情绪障碍(52.9%)的DSM标准,一些人服用了抗抑郁药(38.7%)、抗精神病药(13.9%)或苯二氮䓬类药物(16.4%)。在随访期间,25名CHR个体(10.5%)发展为精神病。然而,CHR组作为一个整体在功能方面有所改善,精神病症状有所减轻。与其他近期的多中心研究类似,CHR队列显示出高合并症发生率和相对较低的精神病转化率。这些发现突出了CHR人群中的临床异质性,并表明结果超出了精神病发作,强化了需要考虑功能和跨诊断结果的更广泛预后模型的必要性。