Reinjury After Moderate to Severe TBI: Rates and Risk Factors in the NIDILRR Traumatic Brain Injury Model Systems.

To compare characteristics of those who do and do not sustain subsequent traumatic brain injuries (TBIs) following index TBI and to identify reinjury risk factors. Secondary data analysis of an ongoing longitudinal cohort study. TBI Model Systems Centers. In total, 11 353 individuals aged 16+ years. Ohio State University TBI Identification Method. In total, 7.9% of individuals reported sustaining a TBI post-index TBI. Twenty percent of reinjuries occurred within a year of the index TBI. Reinjury risk followed an approximate U-shaped distribution such that risk was higher in the first year, declined 2 to 10 years postinjury, and then increased after 10 years. A multivariable Weibull model identified predictors of reinjury: younger (<29 years) and middle-aged and older (50+ years) age at index TBI relative to middle age, pre-index TBI, pre-index alcohol and illicit drug use, incarceration history, and less severe index TBI. A subset of individuals who receive inpatient rehabilitation for TBI are at an increased risk for reinjury, and an injury-prone phenotype may be characterized by engagement in risk behaviors. Factors associated with reinjury risk may differ for younger versus middle-aged and older adults. Findings underscore the need for empirically informed risk stratification models to identify TBI survivors at risk for reinjury. Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.

Citation

Sarah M Bannon, Raj G Kumar, Jennifer Bogner, Therese M O'Neil-Pirozzi, Lisa Spielman, Eric M Watson, Kristen Dams-O'Connor. Reinjury After Moderate to Severe TBI: Rates and Risk Factors in the NIDILRR Traumatic Brain Injury Model Systems. The Journal of head trauma rehabilitation. 2021 Jan-Feb 01;36(1):E50-E60

Mesh Tags

PMID: 32769829

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