Increased Risk for Clinically Significant Sleep Disturbances in Mild Traumatic Brain Injury: An Approach to Leveraging the Federal Interagency Traumatic Brain Injury Research Database

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-o...

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Veröffentlicht in:Brain sciences 2024-09, Vol.14 (9), p.921
Hauptverfasser: 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
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Sprache:eng
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Zusammenfassung: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.
ISSN:2076-3425
2076-3425
DOI:10.3390/brainsci14090921