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A 62-year-old woman was transported to our hospital for management of generalized clonic seizures. Cerebrospinal fluid examination showed an increased monocyte-dominant cell count, high protein concentration, and low glucose concentration that was 17% of the plasma glucose concentration. Contrast-enhanced cranial magnetic resonance imaging revealed diffuse leptomeningeal enhancement with multiple nodular lesions. She underwent examinations that ruled out the following conditions: tuberculous meningitis, systemic sarcoidosis, malignant lymphoma, carcinomatous meningitis, and central nervous system vasculitis. On hospital day 13, dural and brain biopsies revealed neurosarcoidosis, for which steroid therapy was administered. Thereafter, imaging examinations showed marked improvement. Because isolated neurosarcoidosis is difficult to diagnose, early pathologic diagnosis may be essential.

Context: Only few comprehensive studies have investigated acute epidural hematoma (AEDH), and a low incidence of the lesion has been observed in comparison with other types of traumatic brain injuries such as subdural hematoma, traumatic subarachnoid hemorrhage, and contusion. Aim: This study aims to identify the prognostic factors of surgically treated AEDH. Settings and Design: The medical records of 58 consecutive patients with surgically treated AEDH between September 2011 and 2018 were retrospectively reviewed. Subjects and Methods: All patients were diagnosed with AEDHs using 5-mm-slice computed tomography (CT). Information regarding the following demographic and clinical characteristics was collected: age, sex, antithrombotic drug use, mechanisms of injury, time from onset to operation, neurological examination, vital signs, blood examination, and CT findings. Statistical Analysis Used: We analyzed prognostic factors in patients with AEDH using univariate and multivariate regression analyses. Results: Univariate and multivariate regression analyses revealed that age ( P < 0.01) and the Glasgow Coma Scale (GCS; P < 0.01) were independent predictive factors for good prognosis. In addition, receiver operating characteristics (ROC) analysis showed that an age of <55 years and a GCS score of >12 were optimal cutoff values for predicting good prognoses, with the areas under the ROC curve of 0.827 and 0.810, respectively. Conclusions: Age and GCS are useful predictors of prognosis in patients with surgically treated AEDH. These findings are appropriate prognostic indicators for urgent surgery performed to treat AEDH and intended to help clinicians make a prompt diagnosis.

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