title: Clinical outcome prediction in aneurysmal subarachnoid hemorrhage - Alterations in brain-body interface.
abstract: BACKGROUND
  Brain-body associations are essential in influencing outcome in patients with ruptured brain aneurysms. Thus far, there is scarce literature on such important relationships.
  
  
  METHODS
  The multicenter Tirilazad database (3551 patients) was used to create this clinical outcome prediction model in order to elucidate significant brain-body associations. Traditional binary logistic regression models were used.
  
  
  RESULTS
  Binary logistic regression main effects model included four statistically significant single prognostic variables, namely, neurological grade, age, stroke, and time to surgery. Logistic regression models demonstrated the significance of hypertension and liver disease in development of brain swelling, as well as the negative consequences of seizures in patients with a history of myocardial infarction and post-admission fever worsening neurological outcome.
  
  
  CONCLUSIONS
  Using the aforementioned results generated from binary logistic regression models, we can identify potential patients who are in the high risk group of neurological deterioration. Specific therapies can be tailored to prevent these detriments, including treatment of hypertension, seizures, early detection and treatment of myocardial infarction, and prevention of hepatic encephalopathy.
authors: Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
authors: Benjamin W Y
authors: BW
authors: Lo
authors: Department of Neurosurgery, Kurashiki Central Hospital, Kyoto University, Okayama, Japan.
authors: Hitoshi
authors: H
authors: Fukuda
authors: Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
authors: Mark
authors: M
authors: Angle
authors: Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.
authors: Jeanne
authors: J
authors: Teitelbaum
authors: Division of Neurosurgery, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.
authors: R Loch
authors: RL
authors: Macdonald
authors: Department of Surgery, Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Canada.
authors: Forough
authors: F
authors: Farrokhyar
authors: Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Canada.
authors: Lehana
authors: L
authors: Thabane
authors: Department of Medicine, Division of Clinical Pharmacology, Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Canada.
authors: Mitchell A H
authors: MA
authors: Levine
keywords: Aneurysmal subarachnoid hemorrhage; brain-body interactions; clinical outcome prediction model