Epidemiology Of Intracranial Aneurysms Of Mississippi: A 10-Year (1997-2007) Retrospective Study

Publisher:
Elsevier Science Bv
Publication Type:
Journal Article
Citation:
Journal of Stroke & Cerebrovascular Diseases, 2009, 18 (5), pp. 374 - 380
Issue Date:
2009-01
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Background: Despite massive efforts, progress so far has been modest in isolating the genetic determinants for intracranial aneurysm (IA). More detailed epidemiology data might be essential for successful genome-wide association study. Here, we aimed to investigate epidemiology and identify the key risk factors associated with the pathogenesis of IA in a large specific population. Methods: We investigated the epidemiology and analyzed the risk factors of IA pathogenesis by using an International Classification of Diseases, Ninth Revision database search of the patients treated at the University of Mississippi Medical Center, Jackson, MS, within the past 10-year period (1998-2007). All recruited patients were interviewed to assess multiple risk factors and comorbidities (hypertension, tobacco abuse, females sex, diabetes mellitus, coronary artery disease, coronary obstructive pulmonary disease, alcohol abuse, stroke, hyperlipidemia, illicit drug use, and family history). Result: In this retrospective study, we identified several significant risk factors among well-defined human subjects. The 3 major risk factors identified for our IA population are hypertension, tobacco abuse, and female sex. However, African American race was not a significant risk factor in our study. Furthermore, top two risk factors (hypertension, tobacco abuse) were found to be highly associated with familial cases. Conclusions: In this study, using a specific and well-defined large population, we reported that some key risk factors were further confirmed to be strongly associated with the pathogenesis of IA whereas further investigation into racial factors is apparently needed. Our finding of the confounding effects of top risks with familial cases further complicated the genetic analysis of IA.
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