ArticleActa neurochirurgica2026
Predicting chronic subdural hematoma risk in elderly patients with mild traumatic brain injury.
Article in Acta neurochirurgica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeMild traumatic brain injury (TBI) is a frequent presentation in the emergency department. Chronic subdural hematoma (CSDH), most often caused by TBI, is increasing in incidence due to population aging and widespread anticoagulant use. Identifying mild TBI patients at high-risk of CSDH remains challenging. This study aimed to identify risk factors and to create a simple prediction model for CSDH following mild head injury.
methodsWe conducted a historical cohort study including patients aged 65 and older who presented with mild TBI to the emergency department of a large tertiary district medical center between 2000 and 2021. The primary outcome was the development of CSDH within 2-12 weeks after the head injury. A prediction model including demographics, comorbidities, and chronic-medication-use was developed.
resultsOf 7,246 eligible patients, 92 developed CSDH. Age (OR = 1.03, 95% CI: 1.00-1.06, per one-year increase), male sex (OR = 2.31, 1.48-3.59), renal failure (OR = 2.16, 1.27-3.67), chronic use of anticoagulant medications (OR = 1.64, 0.77-3.49), and pathological computed tomography (CT) at presentation (OR = 12.73, 8.19-19.79), were most strongly associated with development of CSDH. Among patients who developed CSDH, 58% had pathological CT findings at presentation. A simple score-based risk model had an area under the receiver operating characteristic curve of 0.76 (0.67-0.85).
conclusionsPathological CT findings following mild TBI were the strongest predictor for CSDH. Male sex, older age, and renal failure were also strong predictors. The prediction model allows efficient bedside risk stratification and opens the possibility for targeted surveillance protocols in high-risk populations.
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