Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, Canada.
Temerty Faculty Institute of Medical Science, University of Toronto, Toronto, Canada.
PLoS One. 2023 Sep 21;18(9):e0288354. doi: 10.1371/journal.pone.0288354. eCollection 2023.
Schizophrenia spectrum disorders (SSDs) are associated with significant functional impairments, disability, and low rates of personal recovery, along with tremendous economic costs linked primarily to lost productivity and premature mortality. Efforts to delineate the contributors to disability in SSDs have highlighted prominent roles for a diverse range of symptoms, physical health conditions, substance use disorders, neurobiological changes, and social factors. These findings have provided valuable advances in knowledge and helped define broad patterns of illness and outcomes across SSDs. Unsurprisingly, there have also been conflicting findings for many of these determinants that reflect the heterogeneous population of individuals with SSDs and the challenges of conceptualizing and treating SSDs as a unitary categorical construct. Presently it is not possible to identify the functional course on an individual level that would enable a personalized approach to treatment to alter the individual's functional trajectory and mitigate the ensuing disability they would otherwise experience. To address this ongoing challenge, this study aims to conduct a longitudinal multimodal investigation of a large cohort of individuals with SSDs in order to establish discrete trajectories of personal recovery, disability, and community functioning, as well as the antecedents and predictors of these trajectories. This investigation will also provide the foundation for the co-design and testing of personalized interventions that alter these functional trajectories and improve outcomes for people with SSDs.
精神分裂症谱系障碍(SSDs)与显著的功能障碍、残疾和个人康复率低有关,主要与生产力损失和过早死亡相关的巨大经济成本有关。为了阐明 SSD 中导致残疾的因素,人们强调了各种症状、身体健康状况、物质使用障碍、神经生物学变化和社会因素的突出作用。这些发现为知识提供了有价值的进展,并帮助定义了 SSD 中广泛的疾病和结果模式。毫不奇怪,对于许多这些决定因素也存在相互矛盾的发现,这反映了 SSD 患者人群的异质性以及将 SSD 概念化为单一分类结构的挑战。目前,还不可能在个体层面上确定功能进程,从而实现个性化的治疗方法来改变个体的功能轨迹,并减轻他们否则会经历的残疾。为了解决这一持续存在的挑战,本研究旨在对大量 SSD 患者进行纵向多模式研究,以确定个人康复、残疾和社区功能的离散轨迹,以及这些轨迹的前提和预测因素。这项研究还将为个性化干预措施的共同设计和测试提供基础,这些干预措施可以改变这些功能轨迹,改善 SSD 患者的预后。