Risk factors for clinically important traumatic brain injury in minor head injury in older people.

BACKGROUND AND OBJECTIVES: The incidence of traumatic brain injury (TBI) in older individuals is increasing with an increase in the older population. For older people, the required medical interventions and hospitalization following minor head injury have negative impacts, which have not been reported in literature up till now. We aimed to investigate the risk factors for clinically important traumatic brain injury (ciTBI) in older patients with minor head injury. METHODS: This is a retrospective single-center cohort study. Older patients aged ≥65 years presenting with head injury and a Glasgow Coma Scale (GCS) score of ≥13 upon arrival at the hospital between January 1, 2018, and October 31, 2021, were included. Patients with an injury duration of ≥24 h were excluded. The primary outcome was defined as ciTBI (including death, surgery, intubation, medical interventions, and hospital stays of ≥2 nights). Multiple logistic regression analysis was conducted to identify the risk factors. RESULTS: A total of 296 patients were included initially, and 6 of them were excluded subsequently. ciTBI was identified in 62 cases. According to the results of the multiple logistic regression analysis, GCS scores of ≤14 (OR 3.72, 95% CI 1.89-7.30), high-risk mechanisms of injury (OR 2.80, 95% CI 1.39-5.64), vomiting (OR 5.01, 95% CI 1.19-21.1), and retrograde amnesia (OR 6.90, 95% CI 3.37-14.1) were identified as risk factors. CONCLUSION: In older patients with minor head injury, GCS ≤14, high-risk mechanisms of injury, vomiting, and retrograde amnesia are risk factors for ciTBI.

QuickBrain MRI for the detection of acute pediatric traumatic brain injury.

OBJECTIVE The current gold-standard imaging modality for pediatric traumatic brain injury (TBI) is CT, but it confers risks associated with ionizing radiation. QuickBrain MRI (qbMRI) is a rapid brain MRI protocol that has been studied in the setting of hydrocephalus, but its ability to detect traumatic injuries is unknown. METHODS The authors performed a retrospective cohort study of pediatric patients with TBI who were undergoing evaluation at a single Level I trauma center between February 2010 and December 2013. Patients who underwent CT imaging of the head and qbMRI during their acute hospitalization were included. Images were reviewed independently by 2 neuroradiology fellows blinded to patient identifiers. Image review consisted of identifying traumatic mass lesions and their intracranial compartment and the presence or absence of midline shift. CT imaging was used as the reference against which qbMRI was measured. RESULTS A total of 54 patients met the inclusion criteria; the median patient age was 3.24 years, 65% were male, and 74% were noted to have a Glasgow Coma Scale score of 14 or greater. The sensitivity and specificity of qbMRI to detect any lesion were 85% (95% CI 73%-93%) and 100% (95% CI 61%-100%), respectively; the sensitivity increased to 100% (95% CI 89%-100%) for clinically important TBIs as previously defined. The mean interval between CT and qbMRI was 27.5 hours, and approximately half of the images were obtained within 12 hours. CONCLUSIONS In this retrospective pilot study, qbMRI demonstrated reasonable sensitivity and specificity for detecting a lesion or injury seen with neuroimaging (radiographic TBI) and clinically important acute pediatric TBI.