O'Neil Maya E, Krushnic Danielle, Walker William C, Cameron David, Baker-Robinson William, Hannon Sara, Clauss Kate, Cheney Tamara P, Cook Lawrence J, Niederhausen Meike, Kaplan Josh, Pappas Miranda, Martin Aaron M
HSR Center to Improve Veteran Involvement in Care (CIVIC), Portland VA Health Care System, Portland, OR 97239, USA.
Department of Clinical Psychiatry, Oregon Health & Science University, Portland, OR 97239, USA.
Brain Sci. 2024 Sep 14;14(9):921. doi: 10.3390/brainsci14090921.
The Federal Interagency Traumatic Brain Injury Research (FITBIR) Informatics System contains individual-patient-level traumatic brain injury (TBI) data, which when combined, allows for the examination of rates and outcomes for key subpopulations at risk for developing sleep disturbance.
This proof-of-concept study creates a model system for harmonizing data (i.e., combining and standardizing data) across FITBIR studies for participants with and without a history of TBI to estimate rates of sleep disturbance and identify risk factors.
Three studies were eligible for harmonization (N = 1753). Sleep disturbance was common among those with a history of mild TBI (63%). Individuals with mild TBI were two to four times more likely to have sleep disturbance compared to those with no history of TBI.
This study established methods, harmonization code, and meta-databases that are publicly available on the FITBIR website. We demonstrated how the harmonization of FITBIR studies can answer TBI research questions, showing that associations between TBI and sleep disturbance may be influenced by demographic factors.
联邦跨部门创伤性脑损伤研究（FITBIR）信息系统包含个体患者层面的创伤性脑损伤（TBI）数据，这些数据汇总后可用于研究睡眠障碍高危关键亚人群的发生率和结局。
这项概念验证研究创建了一个模型系统，用于整合FITBIR各项研究中有无TBI病史参与者的数据（即合并并标准化数据），以估计睡眠障碍发生率并识别风险因素。
三项研究符合整合条件（N = 1753）。轻度TBI病史者中睡眠障碍很常见（63%）。与无TBI病史者相比，轻度TBI患者出现睡眠障碍的可能性高出两到四倍。
本研究建立了可在FITBIR网站上公开获取的方法、整合代码和元数据库。我们展示了FITBIR研究的整合如何回答TBI研究问题，表明TBI与睡眠障碍之间的关联可能受人口统计学因素影响。
