Objective: To examine the relative contributions of injury characteristics and noninjury child and family factors as predictors of postconcussive symptoms (PCS) following mild traumatic brain injury (TBI) in children.
Method: Participants were 8- to 15-year-old children, 186 with mild TBI and 99 with mild orthopedic injuries (OI). Parents and children rated PCS shortly after injury and at 1, 3, and 12 months postinjury. Hierarchical regression analyses were conducted to predict PCS from (1) demographic variables; (2) premorbid child factors (WASI IQ; WRAT-3 Reading; Child Behavior Checklist; ratings of preinjury PCS); (3) family factors (Family Assessment Device General Functioning Scale; Brief Symptom Inventory; and Life Stressors and Social Resources Inventory); and (4) injury group (OI, mild TBI with loss of consciousness [LOC] and associated injuries [AI], mild TBI with LOC but without AI, mild TBI without LOC but with AI, and mild TBI without LOC or AI).
Results: Injury group predicted parent and child ratings of PCS but showed a decreasing contribution over time. Demographic variables consistently predicted symptom ratings across time. Premorbid child factors, especially retrospective ratings of premorbid symptoms, accounted for the most variance in symptom ratings. Family factors, particularly parent adjustment, consistently predicted parent, but not child, ratings of PCS.
Conclusions: Injury characteristics predict PCS in the first months following mild TBI but show a decreasing contribution over time. In contrast, noninjury factors are more consistently related to persistent PCS.
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http://dx.doi.org/10.1037/a0031370 | DOI Listing |
EClinicalMedicine
September 2024
Department of Medicine, University of Cambridge, Cambridge, UK.
Background: Even patients with normal computed tomography (CT) head imaging may experience persistent symptoms for months to years after mild traumatic brain injury (mTBI). There is currently no good way to predict recovery and triage patients who may benefit from early follow-up and targeted intervention. We aimed to assess if existing prognostic models can be improved by serum biomarkers or diffusion tensor imaging metrics (DTI) from MRI, and if serum biomarkers can identify patients for DTI.
View Article and Find Full Text PDFEClinicalMedicine
December 2024
Division of Anaesthesia, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom.
Background: Post-traumatic stress disorder (PTSD) and depression are common after mild traumatic brain injury (mTBI), but their biological drivers are uncertain. We therefore explored whether polygenic risk scores (PRS) derived for PTSD and major depressive disorder (MDD) are associated with the development of cognate TBI-related phenotypes.
Methods: Meta-analyses were conducted using data from two multicenter, prospective observational cohort studies of patients with mTBI: the CENTER-TBI study (ClinicalTrials.
Am J Emerg Med
December 2024
Warfighter Readiness, Performance, and Brain Health Project Management Office (WRPBH PMO), US Army Medical Materiel Development Activity (USAMMDA), 1430 Veterans Drive, Fort Detrick, MD 21702, USA.
Background: A glial fibrillary acidic protein (GFAP) and ubiquitin carboxyl-terminal hydrolase L1 (UCH-L1) blood biomarker panel can reliably eliminate the need to perform a head computed tomography (CT) scan in selected patients with traumatic brain injury (TBI). Currently, this FDA cleared panel can be run both on a core laboratory platform or a hand-held single-sample point of care platform. This study examined test characteristics of the panel as analyzed on a core lab-based fast high-throughput platform.
View Article and Find Full Text PDFClin Neurol Neurosurg
November 2024
Department of Critical Care Medicine, The First People's Hospital of Ziyang, Ziyang 641300, China. Electronic address:
Objective: This study aims to explore the clinical significance of long non-coding RNA, myocardial infarction-associated transcript (MIAT), in patients with traumatic brain injury (TBI).
Methods: Retrospective inclusion of TBI patients meeting clinical criteria with complete data, alongside healthy controls. RT-qPCR was used to detect the expression of the serum MIAT.
J Neurotrauma
December 2024
Department of Physical Medicine and Rehabilitation (PM&R), School of Medicine, Virginia Commonwealth University (VCU), Richmond, Virginia, USA.
Identifying historical mild traumatic brain injury (TBI) is important for many clinical care reasons; however, diagnosing mild TBI is inherently challenging and utility of screening is unknown. This study compares a standardized research process to an established clinical process for screening and diagnosis of historical mild TBI during combat deployment in a military/Veteran cohort. Using validated instruments, the Long-term Impact of Military-relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC) prospective longitudinal study (PLS) screens for all potential concussive events (PCEs) and conducts structured concussion diagnostic interviews for each PCE.
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