Chapter title |
Cerebral Infarction After Aneurysmal Subarachnoid Hemorrhage
|
---|---|
Chapter number | 30 |
Book title |
Brain Edema XVI
|
Published in |
Acta neurochirurgica Supplement, January 2016
|
DOI | 10.1007/978-3-319-18497-5_30 |
Pubmed ID | |
Book ISBNs |
978-3-31-918496-8, 978-3-31-918497-5
|
Authors |
Kenji Kanamaru, Hidenori Suzuki, Waro Taki |
Abstract |
Predictors for cerebral infarction, an important cause of poor outcome after aneurysmal subarachnoid hemorrhage (SAH), were examined. This study used data from the Prospective Registry of Subarachnoid Aneurysms Treatment (PRESAT) cohort, which included 579 patients whose ruptured aneurysms were treated with either clipping or coiling within 12 days of onset. Patient, clinical, radiographic, and treatment variables associated with cerebral infarction were determined. Ruptured aneurysms were clipped in 282 patients and coiled in 297 patients. Cerebral infarction occurred in 162 patients (28.0 %): 101 patients by cerebral vasospasm, 34 patients by clipping, and 33 patients by coiling. Univariate analyses showed that significant factors associated with cerebral infarction development were Fisher computed tomography (CT) group 3 on admission, premature aneurysm rupture during clipping procedure, cerebrospinal fluid drainage, symptomatic vasospasm, endovascular treatment for vasospasm, and shunt-dependent hydrocephalus. Multivariable logistic regression analyses showed that cerebral infarction was significantly associated with Fisher CT group 3 on admission, larger aneurysm dome size, ruptured posterior circulation aneurysms, premature aneurysm rupture during clipping procedure, symptomatic vasospasm, and infection, while endovascular treatment for vasospasm significantly decreased the development of cerebral infarction. The most important potentially treatable factor associated with cerebral infarction was symptomatic vasospasm. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 3% |
Unknown | 34 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 17% |
Researcher | 3 | 9% |
Other | 3 | 9% |
Student > Master | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Other | 6 | 17% |
Unknown | 12 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 37% |
Neuroscience | 3 | 9% |
Engineering | 2 | 6% |
Unknown | 17 | 49% |