4.4 Article

Post-concussion symptoms 1-year after traumatic brain injury: using the Rivermead Post-concussion Questionnaire to identify predictors of severity

Journal

BRAIN INJURY
Volume 36, Issue 12-14, Pages 1323-1330

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/02699052.2022.2140195

Keywords

TBI; persistent post-concussion symptoms; Rivermead post-concussion questionnaire; predictors of severity

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This study investigated the incidence of persistent post-concussion symptoms and identified potential predictors of long-term disability. The findings confirmed the high occurrence of post-concussion symptoms at 1 year and identified certain associated features that increase risk, allowing for targeted intervention.
Background: Patients who suffer traumatic brain injury (TBI) often experience a constellation of physical, cognitive, and emotional/behavioral symptoms called post-concussion symptoms and subsequent long-term disability. This study aimed to investigate the incidence of persistent post-concussion symptoms and possible predictors of long-term disability focusing on demographic, injury, and psychological factors. It was hoped to identify groups at high risk. Methods: A prospective cohort of 1322 individuals admitted with TBI were assessed in a specialist neurorehabilitation clinic at 10 weeks and 1-year post injury between August 2011 and July 2015. The outcome (post-concussion symptoms) was measured using the Rivermead Post-concussion Questionnaire (RPQ) at 1-year post injury. Results: At 1 yr, 1131 individuals were identified (>90% follow-up). Over 20% exhibited moderate or severe symptom levels on RPQ. A linear regression model showed that previous psychiatric history, lower Glasgow Coma Scale (GCS), severe CT abnormalities, injury caused by assault, pre-injury unemployment, and inability to return to work at 6 weeks post-injury were associated with worse symptoms at 1 yr. The adjusted R-2 of the model was 25.1%. Conclusion: These findings confirm the high incidence of post-concussion symptoms at 1 yr and identify certain associated features that increase risk. This may allow targeting of certain groups, e.g., return to work or victims of assault.

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