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Comprehensive Endovascular and Open Surgical Management of Cerebral Arteriovenous Malformations
Published on: October 20, 2017
Distinguishing intracerebral hemorrhages caused by arteriovenous malformations
N U Ko1, S C Johnston, W L Young
1Department of Neurology, University of California at San Francisco, California 94143-0114, USA. nko@itsa.ucsf.edu
Insights
Patients with arteriovenous malformations (AVMs) experiencing intracerebral hemorrhages (ICH) are typically younger, female, and have lower blood pressure. These clinical factors may help identify patients needing further investigation after a brain bleed.
Area of Science:
- Neurology
- Radiology
- Neurosurgery
Background:
- Limited data exists on the clinical profiles of patients with arteriovenous malformations (AVMs) presenting with intracerebral hemorrhages (ICH).
- Understanding these characteristics is crucial for accurate diagnosis and management.
Purpose of the Study:
- To identify distinguishing clinical features of intracerebral hemorrhage (ICH) secondary to cerebral arteriovenous malformations (AVMs).
- To differentiate AVM-related ICH from other causes of brain hemorrhage.
Main Methods:
- Retrospective cohort study utilizing data from a large healthcare program.
- Employed univariate and multivariate analyses, including Student's t test, Wilcoxon rank-sum test, and logistic regression.
Main Results:
- Patients with AVM-related ICH were younger and predominantly female.
- These patients presented with lower blood pressure, lower cholesterol, and lower white blood cell counts.
- Non-smoking status was also more common in the AVM-ICH group.
Conclusions:
- Identified clinical characteristics may serve as potential risk factors for AVM-related ICH.
- These findings can aid in targeting individuals for further imaging after ICH of unknown origin.
Background:
There is a shortage of data addressing the clinical characteristics of patients with arteriovenous malformations (AVMs) who present with intracerebral hemorrhages (ICH).
Methods:
A retrospective cohort study of members of a large, pre-paid health care program was conducted to identify factors that distinguish ICH secondary to cerebral AVMs from all other causes. Univariate and multivariate analysis was performed using Student's t test, Wilcoxon rank-sum test, and logistic regression.
Results:
Patients with an underlying AVM were younger and more likely to be female, non-smokers with lower blood pressures, lower cholesterol, and lower white blood cell counts on presentation.
Conclusions:
These clinical characteristics may be useful in defining potential risk factors in future prospective studies as well as targeting candidates for additional imaging studies after ICH with no apparent etiology.
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