Literature DB >> 22451798

Evaluation of the prognostic indicators of giant intracranial aneurysms.

Prasad S S V Vannemreddy, Ali Nourbakhsh, Anil Nanda.   

Abstract

The indicators of poor outcome in giant intracranial aneurysms have been the subject of several studies in the literature. We conducted a retrospective analysis to evaluate the predictors of poor outcome in giant intracranial aneurysms. We studied consecutive cases with aneurysms admitted over a 9-year period in our institution. All the aneurysms were treated with clipping. Patient demographics, clinical profile, and aneurysm characteristics were evaluated in a multivariate analysis as probable indicators of Glasgow Outcome Scale (GOS) score. The outcome of the aneurysms (GOS score) was compared with the remaining non-giant aneurysms. A total of 41 giant and 348 non-giant aneurysms were identified in our series. In the multivariate analysis, the indicators of poor outcome were identified as poor clinical grade (p < 0.0004), intraoperative rupture (p < 0.007), and posterior circulation of the aneurysms (p < 0.01). Non-giant aneurysms had a better outcome compared with the giant aneurysms (p < 0.01). Giant aneurysms impose a relatively higher risk of morbidity and mortality to the patients. The predictors of the postsurgical outcome of the giant aneurysms include the clinical condition of the patient, location of the aneurysm, and intraoperative rupture.

Entities:  

Keywords:  Aneurysms; clipping; giant; intracranial; prognosis

Year:  2011        PMID: 22451798      PMCID: PMC3312412          DOI: 10.1055/s-0030-1263285

Source DB:  PubMed          Journal:  Skull Base        ISSN: 1531-5010


  44 in total

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Journal:  Neurosurgery       Date:  2003-01       Impact factor: 4.654

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  1 in total

1.  Progressive volume reduction and long-term aneurysmal collapse following flow diversion treatment of giant and symptomatic cerebral aneurysms.

Authors:  Kristina Sirakova; Marin Penkov; Svetozar Matanov; Krasimir Minkin; Kristian Ninov; Asen Hadzhiyanev; Vasil Karakostov; Irena Ivanova; Stanimir Sirakov
Journal:  Front Neurol       Date:  2022-08-11       Impact factor: 4.086

  1 in total

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