title: Factors related to acute hydrocephalus after subarachnoid hemorrhage.
abstract: OBJECTIVE
  To evaluate the influence of the amount and distribution of blood on acute ventricular enlargement in subarachnoid hemorrhage (SAH).
  
  
  METHODS
  In a retrospective study, non-contrast computed tomography (CT) images of 180 patients with aneurysmal SAH were analysed by two neuroradiologists. The amount and distribution of the hemorrhage were scored, and prospective hydrocephalus was identified on the basis of acute CT images by calculating the cella media index, by measuring the width of the third ventricle, and by visual impression. Statistical analysis was done using the logistic regression model, analysis of variance, and chi-square test.
  
  
  RESULTS
  The incidence of acute hydrocephalus was higher among the patients with blood distributed in the anterior, lateral, and basal regions (70.8%) than among the patients who did not have blood distributed in all three areas (P=0.010). The proportion of acute hydrocephalus differed depending on the type of hemorrhage (P<0.001). Intraventricular hemorrhage was the most consistent predictive factor in the logistic regression model, while the other predictive factors included the total blood amount score and the volume of intracerebral hemorrhage.
  
  
  CONCLUSIONS
  A positive correlation was found between acute hydrocephalus and the amount of subarachnoid and, more importantly, intraventricular blood. This is consistent with the literature and confirms the current pathophysiologic concepts that the acute hydrocephalus following SAH is an obstructive form of hydrocephalus.
authors.affiliation: Department of Diagnostic and Interventional Radiology, Oulu University Hospital, Pl 50, FIN-90029 Oulu, Finland. pekka.jartti@ppshp.fi
authors.forename: P
authors.initials: P
authors.lastname: Jartti
authors.forename: A
authors.initials: A
authors.lastname: Karttunen
authors.forename: A
authors.initials: A
authors.lastname: Jartti
authors.forename: V
authors.initials: V
authors.lastname: Ukkola
authors.forename: J
authors.initials: J
authors.lastname: Sajanti
authors.forename: J
authors.initials: J
authors.lastname: Pyhtinen
mesh_terms: D000208:Acute Disease; D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D017542:Aneurysm, Ruptured / Q000150:complications; D001921:Brain / Q000000981:diagnostic imaging; D014695:Cerebral Ventriculography; D005260:Female; D006801:Humans; D006849:Hydrocephalus / Q000000981:diagnostic imaging / Q000209:etiology*; D002532:Intracranial Aneurysm / Q000150:complications; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D012307:Risk Factors; D013345:Subarachnoid Hemorrhage / Q000145:classification / Q000150:complications* / Q000000981:diagnostic imaging; D014057:Tomography, X-Ray Computed