KITE-Toronto Rehabilitation Institute, University Health Network, Toronto, Canada.
Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Sci Rep. 2022 Apr 4;12(1):5584. doi: 10.1038/s41598-022-08782-0.
For centuries, the study of traumatic brain injury (TBI) has been centred on historical observation and analyses of personal, social, and environmental processes, which have been examined separately. Today, computation implementation and vast patient data repositories can enable a concurrent analysis of personal, social, and environmental processes, providing insight into changes in health status transitions over time. We applied computational and data visualization techniques to categorize decade-long health records of 235,003 patients with TBI in Canada, from preceding injury to the injury event itself. Our results highlighted that health status transition patterns in TBI emerged along with the projection of comorbidity where many disorders, social and environmental adversities preceding injury are reflected in external causes of injury and injury severity. The strongest associations between health status preceding TBI and health status at the injury event were between multiple body system pathology and advanced age-related brain pathology networks. The interwoven aspects of health status on a time continuum can influence post-injury trajectories and should be considered in TBI risk analysis to improve prevention, diagnosis, and care.
几个世纪以来,创伤性脑损伤 (TBI) 的研究一直集中在对个人、社会和环境过程的历史观察和分析上,这些过程是分开研究的。如今,计算实现和庞大的患者数据库可以实现对个人、社会和环境过程的并行分析,深入了解健康状况随时间的变化。我们应用计算和数据可视化技术对加拿大 235003 名 TBI 患者长达十年的健康记录进行分类,从受伤前到受伤事件本身。我们的研究结果表明,TBI 中的健康状况转变模式与合并症的预测一起出现,许多疾病、受伤前的社会和环境逆境都反映在伤害的外部原因和伤害的严重程度上。受伤前健康状况与受伤时健康状况之间最强的关联是多系统病理与老年相关脑病理网络之间的关联。健康状况在时间轴上的交织方面会影响受伤后的轨迹,因此应在 TBI 风险分析中考虑这些方面,以改善预防、诊断和护理。