• Neurosurgery · Apr 2005

    Review

    Prediction of cerebral vasospasm in patients presenting with aneurysmal subarachnoid hemorrhage: a review.

    • Christopher G Harrod, Bernard R Bendok, and H Hunt Batjer.
    • Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA. c-harrod@northwestern.edu
    • Neurosurgery. 2005 Apr 1; 56 (4): 633-54; discussion 633-54.

    ObjectiveCerebral vasospasm is a devastating medical complication of aneurysmal subarachnoid hemorrhage (SAH). It is associated with high morbidity and mortality rates, even after the aneurysm has been treated. A substantial amount of experimental and clinical research has been conducted in an effort to predict and prevent its occurrence. This research has contributed to significant advances in the understanding of the mechanisms leading to cerebral vasospasm. The ability to accurately and consistently predict the onset of cerebral vasospasm, however, has been challenging. This topic review describes the various methodologies and approaches that have been studied in an effort to predict the occurrence of cerebral vasospasm in patients presenting with SAH.MethodsThe English-language literature on the prediction of cerebral vasospasm after aneurysmal SAH was reviewed using the MEDLINE PubMed (1966-present) database.ResultsThe risk factors, diagnostic imaging, bedside monitoring approaches, and pathological markers that have been evaluated to predict the occurrence of cerebral vasospasm after SAH are presented.ConclusionTo date, a large blood burden is the only consistently demonstrated risk factor for the prediction of cerebral vasospasm after SAH. Because vasospasm is such a multifactorial problem, attempts to predict its occurrence will probably require several different approaches and methodologies, as is done at present. Future improvements in the prevention of cerebral vasospasm from aneurysmal SAH will most likely require advances in our understanding of its pathophysiology and our ability to predict its onset.

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