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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. 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. 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. In older patients with minor head injury, GCS ≤14, high-risk mechanisms of injury, vomiting, and retrograde amnesia are risk factors for ciTBI.

Background Pediatric head injury is a frequent cause of emergency department neuroimaging worldwide and a major contributor to health care utilization. Although most children with minor head trauma do not sustain clinically important traumatic brain injury (ciTBI), the risk of acute complications necessitates accurate risk stratification. A central challenge is balancing the need to reliably exclude ciTBI against the potential harms of ionizing radiation. Despite high-sensitivity clinical decision rules, computed tomography (CT) remains the dominant imaging modality, with utilization rates approaching 40% in some settings. Current research focuses on AI-based triage tools, enhanced injury registries, and international efforts to standardize imaging thresholds. Methods A narrative literature review evaluated trends in CT utilization in pediatric head trauma, AI-based triage tools, and the emergence of rapid MRI. Findings are extrapolated from recent years and compared with historical data. Only peer-reviewed, English-language studies were included. Key findings The implementation of validated clinical decision rules - primarily PECARN - has contributed to a > 25% decline in unnecessary CT utilization in the pediatric head trauma population over the past decade. This reduction is attributed to the widespread adoption of evidence-based risk stratification, structured observation pathways, and parent-shared decision aids, which together maintain a high negative predictive value (NPV) > 99.9%. Emerging technologies including AI triage tools and rapid MRI are promising adjuncts but are not yet established standards of care. Conclusion The PECARN algorithm with explicit age stratification safely reduces unnecessary neuroimaging, with no increase in readmissions for missed bleeding. Best practice involves applying PECARN criteria alongside careful clinical observation, shared decision-making, and the use of ultra-low CT or rapid MRI when imaging is indicated. Clinical trial number Not applicable.