BACKGROUND: We describe three cases of extradural haematomas (EDHs) and their management, focusing on operative and non-operative treatment. We also review the available literature from the past three decades as well as the guidelines for the management of EDH. An algorithm is formulated based on different factors, including the clinical course of the patients and their CT findings.
METHODS: The first patient presented to us after sustaining a fall with a GCS of 15/15 and a large parieto-occipital EDH with a volume of 90 cm3. He was treated non-operatively. Follow-up CT showed good resolution of the haematoma. The second patient presented with a GCS of 7/15, a posterior fossa EDH with a volume of 30 cm3, and obstructive hydrocephalus. Emergency ventriculostomy was performed, which was converted to a VP shunt. The third case was a patient presenting with a large hemispheric EDH, which was 130 cm3 in volume. The GCS at presentation was 14/15 but dropped to 6/15, following which he underwent craniotomy and evacuation of the EDH.
RESULTS: The Glasgow Outcome Scale (GOS) at three months was five for the first two cases and three for the third case with a dense right hemiplegia.
CONCLUSIONS: EDH, both supratentorial and in the posterior fossa, can be managed non-operatively. A large volume EDH (>30 cm3) can be managed non-operatively provided the GCS at presentation and follow up remains the same with symptomatic improvement. Prompt treatment of a large volume EDH may still result in a poor outcome.

OBJECTIVE: The aims of this study were to analyze the relevance of risk factors in mild head injury (MHI) by studying the possibility of establishing prediction models based on these factors and to evaluate the reliability of the clinical guidelines proposed for the management of MHI.
METHODS: A series of 1101 patients with MHI were prospectively enrolled in this study. In all cases clinical data were collected and a computerized tomography (CT) scan was obtained. The relationship between clinical findings and the presence of intracranial lesions was studied to establish prediction models based on logistic regression and recursive partitioning analysis. Recently proposed guidelines and recommendations for the treatment of MHI were selected, calculating their diagnostic efficiency when applying each of them to our series. The incidence of acute intracranial lesions was 7.5% (83 patients). A Glasgow Coma Scale score of 14, loss of consciousness, vomiting, headache, signs of basilar skull fracture, neurological deficit, coagulopathies, hydrocephalus treated with shunt insertion, associated extracranial lesions, and patient age greater than 65 years were identified as independent risk factors. Prediction models built on clinical variables were able to indicate patients with clinically important lesions, but failed to achieve 100% sensitivity in the detection of all patients with CT scans positive for intracranial lesions within reasonable specificity limits.
CONCLUSIONS: Clinical variables are insufficient to predict all cases of intracranial lesions following MHI, although they can be used to detect patients with relevant injuries. Avoiding systematic CT scan indication implies a rate of misdiagnosis that should be known and assumed when planning treatment in these patients by using guidelines based on clinical parameters.

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The spectrum of athletic head injuries is presented with discussion of on-site recognition, definite diagnosis, and specific treatment. Emphasis is placed on the proper medical evaluation of athletes to ensure recovery and prevent serious consequences of repeated injury.