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The Cumulative Risk of Having a Family Member With a Diagnosed Mental Disorder: A Nationwide Study of Mental Disorders in Family Networks 家庭成员被诊断为精神障碍的累积风险:一项家庭网络中精神障碍的全国性研究。
IF 5 2区 医学 Q1 PSYCHIATRY Pub Date : 2025-09-30 DOI: 10.1111/acps.70041
Anne Sofie Tegner Anker, Signe Hald Andersen

Introduction

Mental disorders are associated with high costs—at the individual and societal level. But families also shoulder large costs in the form of caring for mentally ill family members. Yet, we do not know how common it is to have a family member with a mental disorder and whether this experience falls disproportionately on those who struggle with mental disorders themselves. To fill this gap, this study estimates the cumulative risk of having a family member with a diagnosed mental disorder.

Methods

The study uses full population Danish registry data to follow individuals born in 1970 and their family members (parents, siblings, partners, and children) between 1980 and 2018. The study uses nationwide records of outpatient and inpatient hospital treatment for psychiatric disorders and cumulative incidence functions to estimate the cumulative risk of having a family member diagnosed with a mental disorder.

Results

Among this cohort (N = 69,811) the cumulative risk of having a family member with a diagnosed mental disorder by age 49 is 51.4% [95% CI: 51.0%–51.8%]. Individuals diagnosed with a mental disorder themselves by age 49 (N = 9899) were 1.42 times more likely to have a family member with a mental disorder, and this difference grows for the cumulative risk of experiencing multiple family members with diagnosed mental disorders.

Conclusion

This study provides novel nationwide estimates of how common it is to have a family member with a diagnosed mental disorder. The cumulative risk of having a mental disorder severe enough to result in secondary care treatment and diagnosis is estimated at 13.9% among the 1970 birth cohort, but many more (just above 50%) experience mental disorders through their family network. These results highlight how many individuals and families experience (severe) mental disorders at close hand and show the disproportionate potential caregiving burden carried by individuals who are themselves diagnosed with a mental disorder at some point.

在个人和社会层面上,精神障碍与高成本相关。但家庭也承担着照顾患有精神疾病的家庭成员的巨大成本。然而,我们不知道有一个家庭成员患有精神障碍有多普遍,也不知道这种经历是否不成比例地落在那些自己也患有精神障碍的人身上。为了填补这一空白,这项研究估计了有一个被诊断为精神障碍的家庭成员的累积风险。方法:该研究使用丹麦全人口登记数据,跟踪1970年出生的个人及其1980年至2018年期间的家庭成员(父母、兄弟姐妹、伴侣和子女)。该研究使用全国精神疾病门诊和住院治疗记录和累积发病率函数来估计家庭成员被诊断患有精神疾病的累积风险。结果:在该队列(N = 69,811)中,49岁时家庭成员被诊断为精神障碍的累积风险为51.4% [95% CI: 51.0%-51.8%]。在49岁之前被诊断为精神障碍的个体(N = 9899)有一个家庭成员患有精神障碍的可能性是其他家庭成员的1.42倍,这种差异随着多个家庭成员被诊断为精神障碍的累积风险而增加。结论:这项研究在全国范围内提供了一个新的估计,即家庭成员被诊断患有精神障碍是多么普遍。在1970年出生的队列中,患严重到足以导致二级保健治疗和诊断的精神障碍的累积风险估计为13.9%,但更多的人(略高于50%)通过其家庭网络经历精神障碍。这些结果突出了有多少个人和家庭在近距离经历(严重)精神障碍,并显示了在某些时候自己被诊断患有精神障碍的个人所承担的不成比例的潜在护理负担。
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引用次数: 0
Barriers to Clozapine Use in Europe: A New Hope 氯氮平在欧洲使用的障碍:新的希望。
IF 5 2区 医学 Q1 PSYCHIATRY Pub Date : 2025-09-28 DOI: 10.1111/acps.70040
Hélène Verdoux, Alexis Lepetit, Peter F. J. Schulte
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引用次数: 0
Childhood Maltreatment and Cognitive Performance in Bipolar Disorder: The Potential Role of Inflammation. 儿童虐待和双相情感障碍的认知表现:炎症的潜在作用。
IF 5 2区 医学 Q1 PSYCHIATRY Pub Date : 2025-09-24 DOI: 10.1111/acps.70033
Marzieh Majd, Jennifer Nicoloro-SantaBarbara, Katharine Burns, Maura De Laney, Emma V Galante, Julia Lebovitz, Megan Shanahan, Katherine E Burdick

Background: Cognitive deficits are common in individuals with bipolar disorder (BD), but there is considerable variability in cognitive functioning. Childhood maltreatment (CM), which is frequently reported in BD, has been linked to poorer cognitive performance, potentially through mechanisms such as inflammation. However, the relationship between CM and global cognition and the mediating role of inflammation in BD warrant further investigation.

Methods: The study sample consisted of 112 BD individuals and 83 healthy controls (HCs). Participants completed the MATRICS Consensus Cognitive Battery (MCCB), the Wisconsin Card Sorting Test, and the Childhood Trauma Questionnaire (CTQ). A composite inflammation index was created using blood levels of C-reactive protein (CRP), interleukin (IL)-6, and tumor necrosis factor (TNF)-α, and was used in primary analyses.

Results: The BD group, compared to HC, showed higher levels of inflammation and CM. Across the entire sample, higher total CM was associated with poorer global cognitive performance, with a medium effect size, even after accounting for diagnostic status. The associations were evident across all CM subscales. Specific cognitive domains affected included speed of processing, working memory, visual learning, and reasoning and problem solving. The association between CM and poorer global cognitive performance was partially mediated by inflammation (indirect effect: β = -0.048, CI = -0.10, -0.009). Within the BD group, higher total CM was similarly associated with worse global cognitive performance. The associations were evident across all CM subscales, except for physical neglect. Significant associations were observed between total CM and MCCB domains of speed of processing, attention and vigilance, working memory, visual learning, reasoning and problem solving, as well as cognitive flexibility. Within the HC group, only emotional neglect and physical neglect were associated with poorer global cognition.

Conclusions: This study provides evidence that total CM and its subscales are associated with poorer global cognitive performance in a sample of individuals with BD and HC, with stronger associations found within the BD group. In addition, inflammation partially mediated the relationship between CM and global cognition. These findings highlight the importance of trauma-informed and cognition-focused interventions aimed at enhancing cognitive outcomes and slowing cognitive decline in individuals with BD who have a history of CM. Furthermore, the results suggest that while inflammation plays a role in the CM-cognition link, its effects are complex and likely interact with other biological and environmental factors.

背景:认知缺陷在双相情感障碍(BD)患者中很常见,但在认知功能方面存在相当大的差异。在双相障碍中经常报道的童年虐待(CM)与较差的认知表现有关,可能通过炎症等机制。然而,CM与整体认知的关系以及炎症在BD中的介导作用有待进一步研究。方法:研究样本包括112例BD患者和83例健康对照(hc)。参与者完成了矩阵共识认知电池(MCCB),威斯康星卡片分类测试和童年创伤问卷(CTQ)。使用血液中c反应蛋白(CRP)、白细胞介素(IL)-6和肿瘤坏死因子(TNF)-α的水平建立一个复合炎症指数,并用于初步分析。结果:与HC组相比,BD组炎症和CM水平较高。在整个样本中,更高的总CM与较差的整体认知表现相关,即使在考虑了诊断状态后,也具有中等效应大小。这种关联在所有CM亚量表中都很明显。受影响的具体认知领域包括处理速度、工作记忆、视觉学习、推理和解决问题的能力。CM与较差的整体认知表现之间的关联部分由炎症介导(间接效应:β = -0.048, CI = -0.10, -0.009)。在双相障碍组中,较高的总CM同样与较差的整体认知表现相关。除了身体忽视外,这种关联在所有CM亚量表中都很明显。在加工速度、注意和警觉性、工作记忆、视觉学习、推理和解决问题以及认知灵活性方面,总CM与MCCB域存在显著关联。在HC组中,只有情感忽视和身体忽视与较差的整体认知有关。结论:本研究提供的证据表明,在双相障碍和HC患者样本中,总CM及其子量表与较差的整体认知表现相关,在双相障碍组中发现了更强的关联。此外,炎症部分介导了CM与整体认知的关系。这些发现强调了创伤知情和以认知为重点的干预措施的重要性,旨在提高认知结果,减缓有CM病史的双相障碍患者的认知衰退。此外,研究结果表明,虽然炎症在cm -认知联系中发挥作用,但其影响是复杂的,可能与其他生物和环境因素相互作用。
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引用次数: 0
Pediatric Somatic and Psychiatric Hospital Contacts in Denmark: A National Overview of Risk Factors, Admissions, and Mortality 丹麦儿童躯体和精神病院联系:危险因素、入院和死亡率的全国概况。
IF 5 2区 医学 Q1 PSYCHIATRY Pub Date : 2025-09-11 DOI: 10.1111/acps.70036
Lone Graff Stensballe, Andreas Jensen

Objectives

Prior studies have identified comorbidity between pediatric somatic and psychiatric diseases within specific diagnostic groups. However, population-level data on these associations and their impact on mortality and morbidity are limited. This study aimed to examine these associations in the Danish pediatric population.

Methods

We conducted a national cohort study using Danish register data, including 1,413,177 children and adolescents from 2019 to 2023. We assessed background factors, mortality, and hospital contacts across three patient groups: somatic-only, psychiatric-only, and somatic-psychiatric. A new-user design classified patients as somatic-only or psychiatric-only if they had no hospital contacts in the preceding 12 months. Patients with subsequent contacts for the other condition were reclassified into the somatic-psychiatric group.

Results

Most individuals were included in the somatic-only group (n = 532,324), with fewer in the psychiatric-only group (n = 21,501) or somatic-psychiatric group (n = 23,108). Psychiatric patients were more often boys and from lower socioeconomic backgrounds. Somatic hospital contacts often involved less severe symptoms. In contrast, psychiatric contacts involved specific diagnoses, including suicide attempts. Pediatric patients with both conditions had a higher 3-year readmission risk (12.1%, 95% CI: 11.6%–12.6%) compared to somatic-only patients (9.4%, 95% CI: 9.3%–9.5%), and longer average hospital stays (6.32 vs. 1.97 h). Psychiatric patients also had significantly higher all-cause mortality.

Conclusion

Somatic hospital contacts were more common, but children with psychiatric conditions faced significantly higher mortality and morbidity. These findings are relevant amid rising pediatric psychiatric diagnoses and recent Danish policy to integrate psychiatric and somatic care. Further research is needed to replicate these findings and inform optimal resource allocation for pediatric psychiatric care.

目的:先前的研究已经在特定的诊断群体中确定了儿童躯体疾病和精神疾病之间的共病。然而,关于这些关联及其对死亡率和发病率影响的人口水平数据有限。这项研究的目的是在丹麦儿科人群中检查这些关联。方法:我们使用丹麦登记数据进行了一项国家队列研究,包括2019年至2023年的1,413,177名儿童和青少年。我们评估了三组患者的背景因素、死亡率和医院接触情况:躯体疾病组、精神疾病组和躯体精神疾病组。一个新的用户设计将患者分为躯体疾病或精神疾病,如果他们在过去12个月内没有医院联系。随后与其他疾病接触的患者被重新分类为躯体精神病学组。结果:大多数个体被纳入躯体疾病组(n = 532,324),较少个体被纳入精神疾病组(n = 21,501)或躯体疾病-精神疾病组(n = 23,108)。精神病患者多为男孩,社会经济背景较低。躯体医院接触者通常有较轻的症状。相比之下,精神病学的接触涉及具体的诊断,包括自杀企图。与单纯躯体疾病患者(9.4%,95% CI: 9.3%-9.5%)相比,患有这两种疾病的儿科患者3年再入院风险更高(12.1%,95% CI: 11.6%-12.6%),平均住院时间更长(6.32 h对1.97 h)。精神病患者的全因死亡率也明显较高。结论:躯体性医院接触者较为常见,但有精神疾病的儿童死亡率和发病率明显较高。这些发现与不断上升的儿科精神病诊断和最近丹麦整合精神病学和躯体护理的政策相关。需要进一步的研究来重复这些发现,并告知儿童精神病学护理的最佳资源分配。
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引用次数: 0
Predicting Remission in Schizophrenia Using Machine Learning—Assessing the Impact of Sample Size and Predictor Overinclusion 使用机器学习预测精神分裂症的缓解——评估样本量和预测因子过度纳入的影响。
IF 5 2区 医学 Q1 PSYCHIATRY Pub Date : 2025-09-10 DOI: 10.1111/acps.70037
Fredrik Hieronymus, Magnus Hieronymus, Axel Sjöstedt, Staffan Nilsson, Jakob Näslund, Alexander Lisinski, Søren Dinesen Østergaard

Introduction

Machine learning studies sometimes include a high number of predictors relative to the number of training cases. This increases the risk of overfitting and poor generalizability. A recent study hypothesized that between-trial heterogeneity precluded generalizable outcome prediction in schizophrenia from being achieved. However, an alternative explanation is that predictor overinclusion might explain the low generalizability in that analysis.

Methods

Positive and Negative Syndrome Scale (PANSS) item-data, age, sex, and treatment allocation (antipsychotic/placebo) from 18 placebo-controlled trials of risperidone and paliperidone, in schizophrenia or schizoaffective disorder, were used as predictors for training five supervised learning models to predict symptom remission after 4 weeks of treatment. Sensitivity analyses varying the number of training cases and including simulated uninformative predictors were conducted to assess model performance, as were analyses on simulated data.

Results

Better-than-chance predictions could be achieved for all models using as few as 384 training cases (BAC 0.60, SD 0.035 for an ensemble model). Model performance increased with the number of training cases (n = 4384, BAC 0.63, SD 0.041) and was higher when validated on a set of unseen trials without placebo controls (n = 1508, BAC 0.68, SD 0.013). Predictive performance was substantially decreased by including simulated uninformative predictors. Analyses of simulated data suggest that considerably larger sample sizes than commonly used might be required to effectively separate weakly informative from uninformative predictors.

Conclusion

Supervised learning models can generate better-than-chance predictions in schizophrenia from small datasets, but this requires that not too many uninformative predictors are included. Since highly predictive models have not yet been established for schizophrenia—and since strong linear predictors are easy to identify—commonly collected clinical trial data likely do not contain predictors with strong linear relations to clinically relevant outcomes. If correct, future machine learning analyses should focus on maximizing the probability of identifying weakly predictive features.

导言:机器学习研究有时包含相对于训练案例数量的大量预测因子。这增加了过度拟合的风险和较差的泛化性。最近的一项研究假设,试验间的异质性阻碍了对精神分裂症可推广的预后预测的实现。然而,另一种解释是预测因子的过度包含可能解释了该分析中的低通用性。方法:采用利培酮和帕利培酮治疗精神分裂症或分裂情情性障碍的18项安慰剂对照试验的阳性和阴性综合征量表(PANSS)项目数据、年龄、性别和治疗分配(抗精神病药/安慰剂)作为预测因素,训练5个监督学习模型,预测治疗4周后症状缓解。敏感性分析改变了训练案例的数量,并包括模拟的无信息预测因子,以评估模型的性能,对模拟数据进行了分析。结果:使用384个训练案例(对于集成模型,BAC为0.60,SD为0.035),所有模型都可以实现优于机会的预测。模型性能随着训练案例数量的增加而增加(n = 4384, BAC 0.63, SD 0.041),并且在一组没有安慰剂对照的未见试验(n = 1508, BAC 0.68, SD 0.013)上验证时更高。通过包含模拟的无信息预测因子,预测性能大大降低。对模拟数据的分析表明,可能需要比通常使用的样本量大得多的样本量来有效地分离弱信息和无信息的预测因子。结论:监督学习模型可以从小数据集中生成优于概率的精神分裂症预测,但这需要不包含太多的无信息预测因子。由于尚未建立精神分裂症的高度预测模型,并且由于强线性预测因子易于识别,因此通常收集的临床试验数据可能不包含与临床相关结果具有强线性关系的预测因子。如果正确的话,未来的机器学习分析应该专注于最大化识别弱预测特征的概率。
{"title":"Predicting Remission in Schizophrenia Using Machine Learning—Assessing the Impact of Sample Size and Predictor Overinclusion","authors":"Fredrik Hieronymus,&nbsp;Magnus Hieronymus,&nbsp;Axel Sjöstedt,&nbsp;Staffan Nilsson,&nbsp;Jakob Näslund,&nbsp;Alexander Lisinski,&nbsp;Søren Dinesen Østergaard","doi":"10.1111/acps.70037","DOIUrl":"10.1111/acps.70037","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Machine learning studies sometimes include a high number of predictors relative to the number of training cases. This increases the risk of overfitting and poor generalizability. A recent study hypothesized that between-trial heterogeneity precluded generalizable outcome prediction in schizophrenia from being achieved. However, an alternative explanation is that predictor overinclusion might explain the low generalizability in that analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Positive and Negative Syndrome Scale (PANSS) item-data, age, sex, and treatment allocation (antipsychotic/placebo) from 18 placebo-controlled trials of risperidone and paliperidone, in schizophrenia or schizoaffective disorder, were used as predictors for training five supervised learning models to predict symptom remission after 4 weeks of treatment. Sensitivity analyses varying the number of training cases and including simulated uninformative predictors were conducted to assess model performance, as were analyses on simulated data.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Better-than-chance predictions could be achieved for all models using as few as 384 training cases (BAC 0.60, SD 0.035 for an ensemble model). Model performance increased with the number of training cases (<i>n</i> = 4384, BAC 0.63, SD 0.041) and was higher when validated on a set of unseen trials without placebo controls (<i>n</i> = 1508, BAC 0.68, SD 0.013). Predictive performance was substantially decreased by including simulated uninformative predictors. Analyses of simulated data suggest that considerably larger sample sizes than commonly used might be required to effectively separate weakly informative from uninformative predictors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Supervised learning models can generate better-than-chance predictions in schizophrenia from small datasets, but this requires that not too many uninformative predictors are included. Since highly predictive models have not yet been established for schizophrenia—and since strong linear predictors are easy to identify—commonly collected clinical trial data likely do not contain predictors with strong linear relations to clinically relevant outcomes. If correct, future machine learning analyses should focus on maximizing the probability of identifying weakly predictive features.</p>\u0000 </section>\u0000 </div>","PeriodicalId":108,"journal":{"name":"Acta Psychiatrica Scandinavica","volume":"152 6","pages":"441-450"},"PeriodicalIF":5.0,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/acps.70037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145028636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Pharmacological and Mechanistic Interventions for Cognitive Impairment Associated With Schizophrenia: A Review of Registered Clinical Trials. 精神分裂症相关认知障碍的药理学和机制干预:注册临床试验综述
IF 5 2区 医学 Q1 PSYCHIATRY Pub Date : 2025-09-04 DOI: 10.1111/acps.70034
Bahareh Peyrovian, Lena Palaniyappan, Theodore T Kolivakis, Howard C Margolese

Background: Schizophrenia is characterized by positive, negative, and cognitive symptoms. Current pharmacological treatments often fail to address cognitive deficits. In this review of clinical trials, we aim to identify studies that explore neurobiological (non-psychological) strategies to address Cognitive Impairment Associated with Schizophrenia (CIAS).

Methods: A search of clinical trial databases was conducted through US National Institutes of Health's ClinicalTrials.gov and the World Health Organization's International Clinical Trials Registry Platform (ICTRP) on August 2, 2024, with complementary searches performed on July 4 and 10, 2025, for each respective database to update the results.

Results: We identified 510 relevant interventional studies that objectively measured cognitive performance. Most trials were conducted in the United States (36.4%) and focused on treatment (79%), with randomized designs (88%), investigating drugs (56%), devices (33%), and dietary supplements (10%). Of these trials, 17% reported positive pro-cognitive evidence. Glutamate modulators were the most studied drug category (63 trials), with positive results for sarcosine, BI425809 (Iclepertin), d-serine, d-cycloserine, and minocycline in small-scale trials, although the results were not replicated in larger studies. Nicotinic receptor modulators like ABT-126 and encenicline also showed some cognitive benefits. Device-based interventions, particularly rTMS and iTBS, demonstrated improvements in global cognition, working memory, attention, and processing speed in a subset of trials.

Conclusion: In this comprehensive overview of clinical trials on pro-cognitive agents in schizophrenia, we identify emerging opportunities but also acknowledge a lack of replicated evidence. Despite extensive attempts to address CIAS, it remains an undertreated domain, and future trials should explore better ways to treat this important condition.

背景:精神分裂症以阳性、阴性和认知症状为特征。目前的药物治疗往往不能解决认知缺陷。在这篇临床试验综述中,我们的目标是确定探索神经生物学(非心理学)策略来解决精神分裂症相关认知障碍(CIAS)的研究。方法:于2024年8月2日通过美国国立卫生研究院的ClinicalTrials.gov和世界卫生组织的国际临床试验注册平台(ICTRP)对临床试验数据库进行检索,并于2025年7月4日和10日对各自的数据库进行补充检索,以更新结果。结果:我们确定了510项客观测量认知表现的相关介入研究。大多数试验在美国进行(36.4%),重点是治疗(79%),随机设计(88%),研究药物(56%),设备(33%)和膳食补充剂(10%)。在这些试验中,17%报告了积极的促认知证据。谷氨酸调节剂是研究最多的药物类别(63项试验),在小规模试验中,肌氨酸、BI425809 (Iclepertin)、d-丝氨酸、d-环丝氨酸和米诺环素的结果呈阳性,但在大规模研究中没有重复的结果。烟碱受体调节剂如ABT-126和encenicline也显示出一些认知益处。在一些试验中,基于设备的干预措施,特别是rTMS和iTBS,显示出在整体认知、工作记忆、注意力和处理速度方面的改善。结论:在对精神分裂症促认知药物临床试验的全面概述中,我们发现了新的机会,但也承认缺乏可复制的证据。尽管有广泛的尝试来解决CIAS,但它仍然是一个未被充分治疗的领域,未来的试验应该探索更好的方法来治疗这一重要疾病。
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引用次数: 0
Influence of Sex and Diagnosis on Clinical Variables and Neurocognitive Performance in Severe Mental Illness. Results From the PsyCourse Study. 性别和诊断对重度精神疾病临床变量和神经认知表现的影响。心理课程研究的结果。
IF 5 2区 医学 Q1 PSYCHIATRY Pub Date : 2025-09-03 DOI: 10.1111/acps.70026
Maria Serra-Navarro, Maria Heilbronner, Brisa Solé, Roger Borràs, Anabel Martinez-Arán, Kristina Adorjan, Alba Navarro-Flores, Mojtaba Oraki Kohshour, Daniela Reich-Erkelenz, Eva C Schulte, Fanny Senner, Ion-George Anghelescu, Volker Arolt, Bernhard T Baune, Udo Dannlowski, Detlef E Dietrich, Andreas J Fallgatter, Christian Figge, Markus Jäger, Georg Juckel, Carsten Konrad, Jens Reimer, Eva Z Reininghaus, Max Schmauß, Andrea Schmitt, Carsten Spitzer, Jens Wiltfang, Jörg Zimmermann, Sergi Papiol, Urs Heilbronner, Peter Falkai, Thomas G Schulze, Eduard Vieta, Carla Torrent, Monika Budde, Silvia Amoretti

Introduction: Bipolar disorder (BD) and schizophrenia (SZ) are serious mental illnesses (SMI) with overlapping symptoms but distinct differences in onset and course. Sex differences are an area of growing interest in SMI. This study aims to examine potential interactions between sex and diagnosis across a broad range of variables, to compare males and females within SZ and BD, and to investigate sex-specific group differences.

Methods: A total of 1516 individuals were included in a cross-sectional study using baseline data from the multicenter PsyCourse Study, including BD (n = 543), SZ (n = 517), and healthy controls (HC) (n = 456). Sociodemographic characteristics, clinical symptoms, psychosocial functioning, quality of life, neurocognitive performance, and somatic comorbidities were assessed. Generalized linear models were used to analyze differences between groups and sexes. False Discovery Rate (FDR) and Bonferroni post hoc comparisons were performed.

Results: Significant interactions were identified in age (p = 0.001), age at treatment (p = 0.05), illness duration (p = 0.03), illicit drug use (p = 0.01), and smoking (p = 0.05). Differences in substance use were observed across groups and sexes, with the highest rates found in males with SZ. The BD group showed better functioning and neurocognitive performance compared with the SZ group. Within the BD group, females reported better performance in verbal memory (p = 0.003) and psychomotor speed (p < 0.001) than males. Moreover, both females and males with SMI showed higher rates of thyroid alterations compared with HC (p = 0.01 for females and p = 0.002 for males).

Conclusions: Significant sex differences were observed in substance use and somatic comorbidities. Interactions between diagnosis and sex underscore the importance of considering both factors in clinical assessments. These findings highlight the need to tailor sex-specific treatment for each patient. Further research is needed to explore the role of sex hormones and other biological and societal factors in the presentation and course of these disorders.

双相情感障碍(BD)和精神分裂症(SZ)是严重的精神疾病(SMI),具有重叠的症状,但在发病和病程上有明显差异。性别差异是对重度精神障碍越来越感兴趣的一个领域。本研究旨在通过广泛的变量研究性别与诊断之间的潜在相互作用,比较SZ和BD中的男性和女性,并调查性别特异性群体差异。方法:采用多中心PsyCourse研究的基线数据,将1516名个体纳入横断面研究,包括BD (n = 543)、SZ (n = 517)和健康对照(HC) (n = 456)。评估了社会人口学特征、临床症状、社会心理功能、生活质量、神经认知表现和躯体合并症。广义线性模型用于分析群体和性别之间的差异。错误发现率(FDR)和Bonferroni事后比较进行。结果:年龄(p = 0.001)、治疗年龄(p = 0.05)、病程(p = 0.03)、非法药物使用(p = 0.01)和吸烟(p = 0.05)之间存在显著的相互作用。药物使用在不同群体和性别之间存在差异,SZ男性患者的比例最高。与SZ组相比,BD组表现出更好的功能和神经认知表现。在双相障碍组中,女性在言语记忆(p = 0.003)和精神运动速度(p)方面表现更好。结论:在物质使用和躯体合并症方面观察到显著的性别差异。诊断和性别之间的相互作用强调了在临床评估中考虑这两个因素的重要性。这些发现强调了为每个患者量身定制针对性别的治疗的必要性。需要进一步的研究来探索性激素和其他生物和社会因素在这些疾病的表现和过程中的作用。
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引用次数: 0
The Role of Clinical Judgment in Psychiatry 临床判断在精神病学中的作用。
IF 5 2区 医学 Q1 PSYCHIATRY Pub Date : 2025-09-03 DOI: 10.1111/acps.70035
Giovanni A. Fava, Jenny Guidi

Clinical judgment is currently perceived as an intuitive art that is going to be replaced by growing technology and artificial intelligence. Even though patients look for good clinical judgment when they seek medical attention and clinicians rely on it, the topic is seldom mentioned and discussed in the literature. In their everyday practice, psychiatrists use observation, description, and classification; test explanatory hypotheses; and formulate clinical decisions based on clinical judgment. The aim of this review was to examine the current role of clinical judgment in psychiatry. We first outline the importance of collecting information that supplements the use of diagnostic criteria (allostatic load, health attitudes and behavior, psychological well-being, personality and iatrogenic factors). Clinimetrics, the science of clinical measurements, provides an intellectual home for the reproduction and standardization of clinical intuitions. The clinimetric translation of clinical reasoning allows the organization of the material that has been collected (staging, building unitary concepts, subtyping, formulating pathophysiological links, and global judgments). Finally, we discuss how clinical judgment is the intermediate step between the general indications that derive from clinical trials and individualized treatment plans, encompassing patients' preferences, treatment articulation and selection, level of care, and interpretation of previous treatment response. Clinical judgment remains the basic method of medicine and psychiatry. Improving its features by clinimetric strategies is likely to yield a highly effective precision psychiatry that is available today to any practicing clinician.

临床判断目前被认为是一种直觉艺术,将被不断发展的技术和人工智能所取代。尽管患者在就医时寻求良好的临床判断,而临床医生也依赖于此,但在文献中很少提及和讨论这个话题。在日常实践中,精神科医生使用观察、描述和分类;检验解释性假设;并根据临床判断制定临床决策。这篇综述的目的是检查临床判断在精神病学中的作用。我们首先概述了收集补充使用诊断标准(适应负荷、健康态度和行为、心理健康、个性和医源性因素)的信息的重要性。临床计量学是临床测量的科学,它为临床直觉的再现和标准化提供了一个智力家园。临床推理的临床计量翻译允许组织已收集的材料(分期,建立统一的概念,分型,制定病理生理联系和整体判断)。最后,我们讨论了临床判断如何成为从临床试验得出的一般适应症和个性化治疗计划之间的中间步骤,包括患者的偏好、治疗的衔接和选择、护理水平以及对既往治疗反应的解释。临床判断仍然是医学和精神病学的基本方法。通过临床计量学策略改进其特征,可能会产生一种高度有效的精确精神病学,今天任何执业临床医生都可以使用。
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引用次数: 0
Efficacy and Acceptability of Licensed and Off-Label Pharmacological Interventions for Insomnia in Patients With Severe Mental Illness: A Systematic Review and Meta-Analysis of Randomised Trials 重度精神疾病患者失眠症的药物干预的有效性和可接受性:随机试验的系统回顾和荟萃分析
IF 5 2区 医学 Q1 PSYCHIATRY Pub Date : 2025-09-02 DOI: 10.1111/acps.70032
Nina Friis Bak Fuglsang, Nanna Marker Madsen, Søren Lundorff Jacobsen, Julie Eg Frøkjær, Nicolai Ladegaard, Marc Alberg Sørensen, Christoph U. Correll, Christian Otte, Mikkel Højlund, Ole Köhler-Forsberg
<div> <section> <h3> Background</h3> <p>A wide range of drugs is used to alleviate insomnia symptoms in individuals with severe mental illness (SMI), including licensed drugs and sedating drugs prescribed off-label. Yet, no review has gathered the evidence on illness-specific or transdiagnostic outcomes of pharmacological interventions for insomnia. We aimed to perform a systematic review and meta-analysis of randomised controlled trials (RCTs) studying the efficacy and acceptability of pharmacological interventions for insomnia among individuals with SMI, defined as schizophrenia, bipolar disorder (BD) or major depressive disorder (MDD).</p> </section> <section> <h3> Methods</h3> <p>We searched for RCTs of pharmacological interventions for insomnia that used either placebo or another medication as inactive control or active comparator. Two independent reviewers performed the literature screening, data extraction and risk of bias assessment (RoB2). We performed random effects meta-analyses on the co-primary outcomes total sleep time (TST), sleep quality and acceptability (all-cause discontinuation) and the secondary outcomes safety and tolerability.</p> </section> <section> <h3> Results</h3> <p>The search identified 3331 hits, of which 25 RCTs (<i>n</i> = 2476 individuals) were included, with 18 RCTs (<i>n</i> = 2199) in MDD, 4 RCTs (<i>n</i> = 162) in BD and 3 RCTs (<i>n</i> = 115) in schizophrenia. Of 25 RCTs, 22 had a high risk of bias. The most frequently studied drugs were agomelatine (RCTs = 3, <i>n</i> = 686), eszopiclone (RCTs = 3, <i>n</i> = 599) and zolpidem (RCTs = 3, <i>n</i> = 601). Compared to placebo, pharmacological interventions for insomnia were associated with improved sleep quality by a small effect size (RCTs = 8, <i>g</i> = 0.24, 95% CI = 0.05–0.43) and improved TST (RCTs = 10, MD = 30.82 min, 95% CI = 19.13–42.50), with similar acceptability (RCTs = 10, RR = 1.06, 95% CI = 0.90–1.25).</p> </section> <section> <h3> Discussion</h3> <p>Despite their frequent use, many licensed and off-label pharmacological interventions for insomnia have never been investigated in patients with SMI. The studies that provided sufficient data for meta-analysis showed better efficacy with similar acceptability compared to placebo, but the generalizability of these results is limited by the high heterogeneity and low quality of the included studies. This underscores the need for high-quality RCTs to provide a better scientific basis for the pharmacological treatment of insomnia in SMI.</p> <p><b>Trial Registration:</b>
背景:广泛的药物用于缓解重度精神疾病(SMI)患者的失眠症状,包括许可药物和标签外处方的镇静药物。然而,尚无文献综述收集到有关失眠药物干预的疾病特异性或跨诊断结果的证据。我们的目的是对随机对照试验(RCTs)进行系统回顾和荟萃分析,研究重度精神分裂症、双相情感障碍(BD)或重度抑郁症(MDD)患者失眠的药物干预的有效性和可接受性。方法:我们检索了使用安慰剂或其他药物作为无效对照或有效对照的失眠药物干预的随机对照试验。两名独立审稿人进行文献筛选、数据提取和偏倚风险评估(RoB2)。我们对共同主要结局总睡眠时间(TST)、睡眠质量和可接受性(全因停药)以及次要结局的安全性和耐受性进行了随机效应荟萃分析。结果:共纳入3331个hit,其中25个rct (n = 2476),其中MDD 18个rct (n = 2199), BD 4个rct (n = 162),精神分裂症3个rct (n = 115)。在25项随机对照试验中,22项具有高偏倚风险。最常被研究的药物是阿戈美拉汀(rct = 3, n = 686)、艾司佐匹克隆(rct = 3, n = 599)和唑吡坦(rct = 3, n = 601)。与安慰剂相比,失眠的药物干预与改善睡眠质量(rct = 8, g = 0.24, 95% CI = 0.05-0.43)和改善TST (rct = 10, MD = 30.82 min, 95% CI = 19.13-42.50)相关,可接受性相似(rct = 10, RR = 1.06, 95% CI = 0.90-1.25)。讨论:尽管经常使用,但许多经许可的和未经核准的失眠药物干预从未在重度精神障碍患者中进行过研究。提供足够数据进行meta分析的研究显示,与安慰剂相比,疗效更好,可接受性相似,但这些结果的推广受到纳入研究的高异质性和低质量的限制。这强调需要高质量的随机对照试验,为重度精神分裂症患者失眠的药物治疗提供更好的科学依据。试验注册:CRD42023413787。
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引用次数: 0
Predicting Cognitive Change During Treatment for Inpatient Depression: Secondary Analysis From a Randomized Controlled Trial. 预测住院抑郁症患者治疗期间的认知变化:一项随机对照试验的二次分析。
IF 5 2区 医学 Q1 PSYCHIATRY Pub Date : 2025-09-01 DOI: 10.1111/acps.70030
Zoe A Odering, Jennifer Jordan, Cameron J Lacey, Christopher M Frampton, Richard J Porter, Katie M Douglas

Introduction: Individuals hospitalized with depression are particularly impacted by cognitive impairment. Identifying variables that predict improvements in cognition across treatment may inform more targeted and effective treatment approaches. We conducted secondary analyses to investigate baseline predictors of objective cognitive change in a severely depressed inpatient sample.

Methods: A randomized controlled trial (RCT) comparing 2 weeks of Activation Therapy (AT; Cognitive Activation combined with Behavioural Activation) with treatment-as-usual (TAU) was conducted in inpatients with major depression. Research assessments were conducted at baseline (on admission) and at 14 weeks (12 weeks after treatment-end). A series of analyses of covariance models were conducted to examine associations between change in executive functioning/attention, verbal learning and memory, visuospatial learning and memory, and psychomotor speed, in global cognition, and a range of putative baseline predictor variables (e.g., demographic, mood, cognition, general functioning, childhood trauma) across the whole RCT sample. Treatment arm was included as a fixed factor in all models. Sensitivity analyses were run in the AT group only to examine predictors of cognitive change in those receiving this targeted cognitive treatment.

Results: Sixty-eight individuals completed baseline and follow-up cognitive testing assessments in the RCT (AT, n = 32, TAU, n = 36). Significantly poorer domain-specific baseline cognitive functioning was associated with greater cognitive improvement in all four domains. Older age was associated with less cognitive change in verbal learning and memory, visuospatial learning and memory, psychomotor speed, and global cognition. Sensitivity analyses (AT group only) identified these same factors as significant predictors.

Conclusion: Age and domain-specific baseline cognitive performance were consistently associated with cognitive change in this RCT. Findings suggest that cognition seems to recover better in younger inpatients with poorer baseline cognitive functioning.

Clinical registration: Australian New Zealand Clinical Trials Registry [ANZCTR], ACTRN12617000024347p.

导读:抑郁症住院患者尤其容易受到认知障碍的影响。识别预测治疗过程中认知改善的变量可能会为更有针对性和更有效的治疗方法提供信息。我们进行了二次分析,以调查严重抑郁症住院患者样本中客观认知变化的基线预测因素。方法:对重度抑郁症住院患者进行为期2周的激活疗法(AT;认知激活联合行为激活)与常规治疗(TAU)的随机对照试验(RCT)。研究评估在基线(入院时)和14周(治疗结束后12周)进行。通过一系列协方差模型分析,研究了整个RCT样本中执行功能/注意力、言语学习和记忆、视觉空间学习和记忆、精神运动速度、全球认知的变化与一系列假定的基线预测变量(如人口统计学、情绪、认知、一般功能、童年创伤)之间的关联。治疗组作为固定因素纳入所有模型。在AT组中进行敏感性分析,仅用于检查接受这种靶向认知治疗的患者的认知变化的预测因素。结果:68名受试者在RCT中完成了基线和随访认知测试评估(AT, n = 32, TAU, n = 36)。明显较差的领域特定基线认知功能与所有四个领域的认知改善有关。年龄越大,在言语学习和记忆、视觉空间学习和记忆、精神运动速度和整体认知方面的认知变化越少。敏感性分析(仅AT组)确定这些相同的因素为重要的预测因子。结论:在本随机对照试验中,年龄和特定领域的基线认知表现与认知变化一致相关。研究结果表明,基线认知功能较差的年轻住院患者的认知功能似乎恢复得更好。临床注册:澳大利亚新西兰临床试验注册中心[ANZCTR], ACTRN12617000024347p。
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引用次数: 0
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Acta Psychiatrica Scandinavica
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