OBJECTIVE: This study evaluates care-related sociodemographic, clinical, and imaging factors and influences associated with outcome at discharge in patients with aneurismal subarachnoid haemorrhage. PATIENTS AND METHOD: Retrospective cohort study in 334 patients treated at Hospital Hermanos Ameijeiras in Havana, Cuba between October 2005 and June 2014. RESULTS: Logistic regression analysis determined that the following factors were associated with higher risk of poor outcome: age older than 65 years (OR 3.51, 95% CI 1.79-5.7, P=.031), female sex (OR 2.17, 95% CI 1.22-3.84, P=.0067), systolic hypertension (OR 4.82, 95% CI 2.27-9.8, P=.0001), and hyperglycaemia at admission (OR 3.93, 95% CI 2.10-7.53, P=.0003). Certain complications were also associated with poor prognosis, including respiratory infection (OR 2.73, 95% CI 1.27-5.85, P=.0085), electrolyte disturbances (OR 3.33, 95% CI 1.33-8.28, P=.0073), hydrocephalus (OR 2.21, 95% CI 1.05-4.63, P=.0039), rebleeding (OR 16.50, 95% CI 8.24-41.24, P=.0000), symptomatic vasospasm (OR 19.00, 95% CI 8.86-41.24, P=.0000), cerebral ischaemia (OR 3.82, 95% CI 1.87-7.80, P=.000) and multiplex rebleeding (OR 6.69, 95% CI 1.35-36.39, P=.0019). Grades of iii and iv on the World Federation of Neurological Surgeons (OR 2.09, 95% CI 1.12-3.91, P=.0021) and Fisher scales (OR 5.18, 95% CI 2.65-10.29, P=.0008) were also related to poor outcome. CONCLUSIONS: Outcome of aneurysmal subarachnoid haemorrhage was related to age, sex, clinical status at admission to the stroke unit, imaging findings according to the Fisher scale, blood pressure, glycaemia and such complications as electrolyte disturbances, hydrocephalus, rebleeding, and multiplex rebleeding.
OBJECTIVE: This study evaluates care-related sociodemographic, clinical, and imaging factors and influences associated with outcome at discharge in patients with aneurismal subarachnoid haemorrhage. PATIENTS AND METHOD: Retrospective cohort study in 334 patients treated at Hospital Hermanos Ameijeiras in Havana, Cuba between October 2005 and June 2014. RESULTS: Logistic regression analysis determined that the following factors were associated with higher risk of poor outcome: age older than 65 years (OR 3.51, 95% CI 1.79-5.7, P=.031), female sex (OR 2.17, 95% CI 1.22-3.84, P=.0067), systolic hypertension (OR 4.82, 95% CI 2.27-9.8, P=.0001), and hyperglycaemia at admission (OR 3.93, 95% CI 2.10-7.53, P=.0003). Certain complications were also associated with poor prognosis, including respiratory infection (OR 2.73, 95% CI 1.27-5.85, P=.0085), electrolyte disturbances (OR 3.33, 95% CI 1.33-8.28, P=.0073), hydrocephalus (OR 2.21, 95% CI 1.05-4.63, P=.0039), rebleeding (OR 16.50, 95% CI 8.24-41.24, P=.0000), symptomatic vasospasm (OR 19.00, 95% CI 8.86-41.24, P=.0000), cerebral ischaemia (OR 3.82, 95% CI 1.87-7.80, P=.000) and multiplex rebleeding (OR 6.69, 95% CI 1.35-36.39, P=.0019). Grades of iii and iv on the World Federation of Neurological Surgeons (OR 2.09, 95% CI 1.12-3.91, P=.0021) and Fisher scales (OR 5.18, 95% CI 2.65-10.29, P=.0008) were also related to poor outcome. CONCLUSIONS: Outcome of aneurysmal subarachnoid haemorrhage was related to age, sex, clinical status at admission to the stroke unit, imaging findings according to the Fisher scale, blood pressure, glycaemia and such complications as electrolyte disturbances, hydrocephalus, rebleeding, and multiplex rebleeding.
Authors: Shane W English; D Fergusson; M Chassé; A F Turgeon; F Lauzier; D Griesdale; A Algird; A Kramer; A Tinmouth; C Lum; J Sinclair; S Marshall; D Dowlatshahi; A Boutin; G Pagliarello; L A McIntyre Journal: BMJ Open Date: 2016-12-07 Impact factor: 2.692
Authors: Min Kyun Na; Yu Deok Won; Choong Hyun Kim; Jae Min Kim; Jin Hwan Cheong; Je Il Ryu; Myung-Hoon Han Journal: PLoS One Date: 2017-12-12 Impact factor: 3.240
Authors: Anibal Basile-Filho; Alessandra Fabiane Lago; Mayra Gonçalves Menegueti; Edson Antonio Nicolini; Roosevelt Santos Nunes; Silas Lucena de Lima; João Paulo Uvera Ferreira; Marcus Antonio Feres Journal: Medicine (Baltimore) Date: 2018-10 Impact factor: 1.817
Authors: Matthew K McIntyre; Mohamed Halabi; Boyi Li; Andrew Long; Alexander Van Hoof; Adil Afridi; Chirag Gandhi; Meic Schmidt; Chad Cole; Justin Santarelli; Fawaz Al-Mufti; Christian A Bowers Journal: Sci Rep Date: 2021-01-08 Impact factor: 4.379