Obeid Nicole, Lavallée Niana, Bradley Abigail H M, Norris Mark L
Children's Hospital of Eastern Ontario Research Institute (CHEO RI), Ottawa, Canada.
Department of Psychiatry, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
J Eat Disord. 2025 Jul 30;13(1):162. doi: 10.1186/s40337-025-01351-6.
Eating disorders (EDs) are multisystemic, debilitating, and complex illnesses that affect many young Canadians. These disorders are associated with high rates of medical complications, psychiatric and physical comorbidities, functional impairment, family distress, and financial burden. Despite the severity and increasing prevalence of EDs in youth, advancements in understandings of the pathophysiology and treatment of EDs have remained limited over the past three decades. This trend may be shaped by the chronic underfunding of the field, reliance on small sampled cross-sectional studies, and the notable lack of research focused on youth with EDs from historically underrepresented communities. Current treatment practices demonstrate modest efficacy and often omit the complex, heterogeneous presentations, development, and maintenance of pediatric EDs. Large-scale, multiaxial datasets are necessary to elucidate ED etiology and enable phenotyping. This is a critical step towards implementing future precision psychiatry and personalized treatment advances. In this commentary, we share our experience of conceptualizing a precision ED data and bio-registry, EDBioMAP: Eating Disorder Bio-Registry and Multiaxial Precision Health Platform, and suggest necessary pillars to inform, implement, and drive the successful use of precision psychiatry in pediatric ED care. Effective data utilization requires actionable steps and includes: (1) establishing strategic partnerships; (2) incorporating measurement-based care into clinical practice; (3) collecting novel biological markers; (4) developing minimum datasets; and (5) leveraging predictive modelling techniques. Strategic and standardized data integration is imperative to informing the future use of precision psychiatry for EDs. It can lend well to igniting multi-site collaboration to enhance large datasets necessary for this type of work and offers avenues for future development of personalized treatment interventions and clinical decision-making tools for youth with EDs.
饮食失调（EDs）是影响众多加拿大年轻人的多系统、使人衰弱且复杂的疾病。这些疾病与高发病率的医学并发症、精神和身体共病、功能障碍、家庭困扰以及经济负担相关。尽管青少年饮食失调的严重性和患病率不断上升，但在过去三十年里，对饮食失调病理生理学和治疗的认识进展仍然有限。这种趋势可能是由于该领域长期资金不足、依赖小样本横断面研究以及明显缺乏针对历史上代表性不足社区中患有饮食失调的青少年的研究所致。当前的治疗方法疗效一般，且常常忽略了儿科饮食失调复杂多样的表现、发展和维持情况。大规模、多轴数据集对于阐明饮食失调病因和实现表型分析至关重要。这是朝着未来实施精准精神病学和个性化治疗进展迈出的关键一步。在这篇评论中，我们分享了我们在构思一个精准饮食失调数据和生物登记库——EDBioMAP（饮食失调生物登记库和多轴精准健康平台）方面的经验，并提出了必要的支柱，以指导、实施和推动精准精神病学在儿科饮食失调护理中的成功应用。有效的数据利用需要可操作的步骤，包括：（1）建立战略伙伴关系；（2）将基于测量的护理纳入临床实践；（3）收集新的生物标志物；（4）开发最小数据集；（5）利用预测建模技术。战略和标准化的数据整合对于为未来饮食失调的精准精神病学应用提供信息至关重要。它有助于激发多中心合作，以增强此类工作所需的大型数据集，并为患有饮食失调的青少年的个性化治疗干预措施和临床决策工具的未来发展提供途径。
