Early Psychosis: Interventions and Clinical Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
OASIS Service, South London and Maudsley NHS Foundation Trust, London, UK.
Schizophr Bull. 2019 Apr 25;45(3):562-570. doi: 10.1093/schbul/sby070.
The benefits of indicated primary prevention among individuals at Clinical High Risk for Psychosis (CHR-P) are limited by the difficulty in detecting these individuals. To overcome this problem, a transdiagnostic, clinically based, individualized risk calculator has recently been developed and subjected to a first external validation in 2 different catchment areas of the South London and Maudsley (SLaM) NHS Trust.
Second external validation of real world, real-time electronic clinical register-based cohort study. All individuals who received a first ICD-10 index diagnosis of nonorganic and nonpsychotic mental disorder within the Camden and Islington (C&I) NHS Trust between 2009 and 2016 were included. The model previously validated included age, gender, ethnicity, age by gender, and ICD-10 index diagnosis to predict the development of any ICD-10 nonorganic psychosis. The model's performance was measured using Harrell's C-index.
This study included a total of 13702 patients with an average age of 40 (range 16-99), 52% were female, and most were of white ethnicity (64%). There were no CHR-P or child/adolescent services in the C&I Trust. The C&I and SLaM Trust samples also differed significantly in terms of age, gender, ethnicity, and distribution of index diagnosis. Despite these significant differences, the original model retained an acceptable predictive performance (Harrell's C of 0.73), which is comparable to that of CHR-P tools currently recommended for clinical use.
This risk calculator may pragmatically support an improved transdiagnostic detection of at-risk individuals and psychosis prediction even in NHS Trusts in the United Kingdom where CHR-P services are not provided.
在有临床精神病高危风险的个体(CHR-P)中进行有针对性的一级预防的益处受到难以发现这些个体的限制。为了克服这个问题,最近开发了一种跨诊断、基于临床的个体化风险计算器,并在南伦敦和莫兹利(SLaM)国民保健系统信托的两个不同的集水区进行了首次外部验证。
在卡姆登和伊斯灵顿(C&I)国民保健系统信托的真实世界、实时电子临床登记册为基础的队列研究中进行了第二次外部验证。在 2009 年至 2016 年间,所有在 C&I 国民保健系统信托内接受首次 ICD-10 非器质性和非精神病性精神障碍索引诊断的个体都包括在内。之前验证的模型包括年龄、性别、种族、年龄与性别、以及 ICD-10 索引诊断,以预测任何 ICD-10 非器质性精神病的发展。该模型的性能通过哈雷尔的 C 指数来衡量。
本研究共纳入 13702 例患者,平均年龄为 40 岁(范围 16-99 岁),52%为女性,大多数为白种人(64%)。C&I 信托中没有 CHR-P 或儿童/青少年服务。C&I 和 SLaM 信托样本在年龄、性别、种族和索引诊断分布方面也存在显著差异。尽管存在这些显著差异,原始模型仍保持了可接受的预测性能(哈雷尔的 C 指数为 0.73),这与目前推荐用于临床使用的 CHR-P 工具相当。
即使在英国没有提供 CHR-P 服务的国民保健系统信托中,该风险计算器也可能有助于更具诊断性地发现高危个体,并预测精神病。