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The distinctive psychopathology of NMDAR-antibody encephalitis compared with primary psychoses: an international, multicentre, retrospective phenotypic analysis 与原发精神病相比,nmdar抗体脑炎的独特精神病理:一项国际、多中心、回顾性表型分析
IF 64.3 1区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-10 DOI: 10.1016/s2215-0366(25)00305-0
Adam Al-Diwani, Jakob Theorell, Tarek Zghoul, Aniruddha Voruganti, Leigh Townsend, Riccardo De Giorgi, Benjamin Griffin, Tomasz Bajorek, David Okai, Belinda Lennox, M Isabel Leite, Carla Y Kim, Arielle Coughlin, Kelsey Martin, Brittany Glassberg, Christian Lachner, Nicola Westerbeek, Veerle Bergink, Kiran T Thakur, Anusha K Yeshokumar, Harald Prüss, Gregory S Day, Carsten Finke, Adam E Handel, Sanjay G Manohar, Dan W Joyce, Sarosh R Irani
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引用次数: 0
For the misnamed 对于名字错误的人
IF 64.3 1区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-10 DOI: 10.1016/s2215-0366(25)00394-3
Monica Ross
No Abstract
没有抽象的
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引用次数: 0
Drug policies in Iran and Afghanistan 伊朗和阿富汗的毒品政策
IF 64.3 1区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-04 DOI: 10.1016/s2215-0366(25)00367-0
Bijan Pirnia
No Abstract
没有抽象的
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引用次数: 0
Psychonauts: reimagining recovery in forensic psychiatry 精神世界:重新想象法医精神病学的康复
IF 64.3 1区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-04 DOI: 10.1016/s2215-0366(25)00364-5
Marko Ćurković, Niko Radas, Nadica Buzina, Petrana Brečić
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引用次数: 0
Personality disorders in humanitarian settings 人道主义环境中的人格障碍
IF 64.3 1区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-04 DOI: 10.1016/s2215-0366(25)00363-3
Summayya Anwar, Muhammad Talha
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引用次数: 0
The potential of discharge lounges in psychiatric care 出院休息室在精神科护理中的潜力
IF 64.3 1区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-02 DOI: 10.1016/s2215-0366(25)00357-8
Mu’taz M Al Shorman, Ananth Nazarene, Amal S Alobaidli, Abdulqadir J Nashwan
No Abstract
没有抽象的
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引用次数: 0
Giving voice to the Deaf community: co-designing a Bangla Mental Health Sign Language Bank in Bangladesh 为聋人群体发声:在孟加拉国共同设计一个孟加拉心理健康手语银行
IF 64.3 1区 医学 Q1 PSYCHIATRY Pub Date : 2025-12-02 DOI: 10.1016/s2215-0366(25)00334-7
M Tasdik Hasan, Md Khalid Hossain, Jessica Watterson, Manika Saha, Natasha Layton, MD Jahirul Islam, Helal Uddin Ahmed, Delvin Varghese, Roisin McNaney
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引用次数: 0
Transdiagnostic prediction of serious mental disorders: opportunities and considerations 严重精神障碍的跨诊断预测:机会和考虑
IF 64.3 1区 医学 Q1 PSYCHIATRY Pub Date : 2025-11-26 DOI: 10.1016/s2215-0366(25)00328-1
Danella M Hafeman
No Abstract
没有抽象的
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引用次数: 0
Joint detection of risk for psychotic disorders or bipolar disorders in clinical practice in the UK: development and validation of a clinical prediction model 英国临床实践中精神障碍或双相情感障碍风险的联合检测:临床预测模型的开发和验证
IF 64.3 1区 医学 Q1 PSYCHIATRY Pub Date : 2025-11-26 DOI: 10.1016/s2215-0366(25)00307-4
Maite Arribas, Andrea de Micheli, Kamil Krakowski, Daniel Stahl, Christoph U Correll, Allan H Young, Ole A Andreassen, Eduard Vieta, Celso Arango, Philip McGuire, Dominic Oliver, Paolo Fusar-Poli

Background

Efficient detection of individuals at risk of developing psychotic disorders or bipolar disorders is a crucial step to improving mental health outcomes in young people. A novel, transdiagnostic approach to jointly detect individuals at risk for either psychotic disorders or bipolar disorders would maximise the effect of prevention. The aim of this study is to develop and validate an individualised prediction model to detect the risk of developing psychotic disorders or bipolar disorders in the UK.

Methods

This RECORD Statement and TRIPOD+AI compliant study describes the development and validation of a clinical prediction model to estimate the risk of developing psychotic or bipolar disorders using data from patients of all ages with an index diagnosis of a non-organic, non-psychotic and non-bipolar mental disorder recorded in electronic health records from South London and Maudsley (SLaM in the UK) secondary mental health care between Jan 1, 2008, and Aug 10, 2021. Exclusion criteria included receiving long-acting injectable antipsychotics or clozapine before a diagnosis of bipolar or psychotic disorders, no recorded contact with SLaM services after the index date, and an index date falling within the washout period Jan 1, 2008, to June 30, 2008. A least absolute shrinkage and selection operator-regularised (LASSO) Cox proportional hazards model was developed to estimate the 6-year risk of developing psychotic disorders or bipolar disorders, incorporating sociodemographic and clinical predictors at index date (five predictors), and medication (four predictors), hospitalisation (two predictors) and natural language processing-derived signs and symptoms and substance use (66 predictors), derived using a 6-month look-back period. Model performance was assessed using internal–external validation, sequentially leaving out one borough from the SLaM area for testing and averaging performance across all five boroughs. The final model was fit with data across all the boroughs. Performance was assessed via discrimination (C-index), calibration (calibration slope and calibration-in-the-large), and potential clinical utility (decision curve analysis) during internal–external cross-validation. Individuals with lived experience of bipolar disorders or psychotic disorders were not involved in the research or writing process.

Findings

In total, data from 127 868 patients were included. 64 980 (50·8%) of the dataset were male, 62 711 (49·0%) were female, and 89 (0·1%) were other gender. For self-assigned ethnicity, the dataset was 71 390 (55·8%) White, 18 025 (14·1%) Black, 7257 (5·7%) other, 6270 (4·9%) Asian, and 5022 (3·9%) mixed (19 904 [15·6%] were missing ethnicity data). The mean age was 33·4 years (SD 18·8 [IQR 17·9–44·9]). The cumulative risk incidence of psychotic disorders or bipolar disorders was 0·0827 (95% CI 0·0784–0·0870) within 6 years (mean follow-up 622 days [SD 687]). The model showed the following performance
背景:对有发展为精神障碍或双相情感障碍风险的个体进行有效检测是改善年轻人心理健康结果的关键一步。一种新的跨诊断方法可以联合检测有精神障碍或双相情感障碍风险的个体,这将最大限度地提高预防效果。这项研究的目的是开发和验证一个个性化的预测模型,以检测在英国发展为精神障碍或双相情感障碍的风险。方法:本RECORD声明和TRIPOD+AI研究描述了一种临床预测模型的开发和验证,该模型用于估计发生精神病或双相情感障碍的风险,该模型使用的数据来自南伦敦和莫兹利(英国的SLaM)二级精神卫生保健机构2008年1月1日至2021年8月10日期间所有年龄的非器质性、非精神病性和非双相精神障碍的电子健康记录,这些数据被诊断为非器质性、非精神病性和非双相精神障碍。排除标准包括在诊断为双相情感障碍或精神障碍之前接受长效注射抗精神病药物或氯氮平,在指标日期之后没有与SLaM服务的联系记录,以及指标日期在2008年1月1日至2008年6月30日的洗脱期。建立了最小绝对收缩和选择算子正则化(LASSO) Cox比例风险模型,以估计6年发生精神障碍或双相情感障碍的风险,纳入指标日期的社会人口学和临床预测因子(5个预测因子),药物(4个预测因子),住院(2个预测因子)和自然语言处理衍生的体征和症状以及物质使用(66个预测因子),使用6个月的回顾期得出。使用内部和外部验证来评估模型的性能,依次从SLaM区域中剔除一个行政区进行测试,并对所有五个行政区的性能进行平均。最终的模型与所有行政区的数据相吻合。在内外交叉验证期间,通过鉴别(c指数)、校准(校准斜率和校准大)和潜在的临床效用(决策曲线分析)来评估性能。有双相情感障碍或精神障碍生活经历的个体不参与研究或写作过程。研究结果:共纳入127 868例患者的数据。其中男性64 980人(50.8%),女性62 711人(49.0%),其他性别89人(0.1%)。对于自我分配的种族,数据集为71 390(55.8%)白人,18 025(14.1%)黑人,7257(5.7%)其他,6270(4.9%)亚洲人和5022(3.9%)混合(19 904[15.6%]缺失种族数据)。平均年龄33.4岁(SD 18.8 [IQR 17.9 - 44.9])。6年内精神障碍或双相情感障碍的累积风险发生率为0.0827 (95% CI 0.0784 - 0.0870)(平均随访622天[SD 687])。模型经内外验证的表现如下:c -指数为0.80 (95% CI为0.78 ~ 0.81);校准斜率1.02 (SD 0.14);校准在大0.006 (SD 0.02)。决策曲线分析表明,与默认评估策略相比,使用该模型可以在每100名筛选的患者中发现3例额外的精神障碍或双相情感障碍早期病例。本研究表明,该跨诊断临床预测模型可以识别有发展为精神障碍或双相情感障碍风险的患者,并表现出优异的表现。这种新颖的方法将能够系统地早期发现有精神障碍或双相情感障碍风险的年轻人,在现实世界的临床实践中推进预防性护理。资助:英国医学研究委员会(MR/N013700/1),国家卫生研究所(NIHR)南伦敦生物医学研究中心和莫兹利NHS基金会信托基金,以及牛津健康NHS基金会信托基金。
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引用次数: 0
Correction to Lancet Psychiatry 2025; 12: 638–49 《柳叶刀精神病学2025》修正版;12: 638 - 49
IF 64.3 1区 医学 Q1 PSYCHIATRY Pub Date : 2025-11-21 DOI: 10.1016/s2215-0366(25)00362-1
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引用次数: 0
期刊
Lancet Psychiatry
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