Non-aneurysmal subarachnoid hemorrhage in 173 patients: a prospective study of long-term outcome

2015 ◽  
Vol 22 (10) ◽  
pp. 1329-1336 ◽  
Author(s):  
J. Konczalla ◽  
J. Schmitz ◽  
S. Kashefiolasl ◽  
C. Senft ◽  
V. Seifert ◽  
...  
2018 ◽  
Vol 138 (5) ◽  
pp. 400-407 ◽  
Author(s):  
D. Rackauskaite ◽  
E. Svanborg ◽  
E. Andersson ◽  
K. Löwhagen ◽  
L. Csajbok ◽  
...  

Neurosurgery ◽  
2020 ◽  
Author(s):  
Isabel C Hostettler ◽  
Menelaos Pavlou ◽  
Gareth Ambler ◽  
Varinder S Alg ◽  
Stephen Bonner ◽  
...  

Abstract BACKGROUND Long-term outcome after subarachnoid hemorrhage, beyond the first few months, is difficult to predict, but has critical relevance to patients, their families, and carers. OBJECTIVE To assess the performance of the Subarachnoid Hemorrhage International Trialists (SAHIT) prediction models, which were initially designed to predict short-term (90 d) outcome, as predictors of long-term (2 yr) functional outcome after aneurysmal subarachnoid hemorrhage (aSAH). METHODS We included 1545 patients with angiographically-proven aSAH from the Genetic and Observational Subarachnoid Haemorrhage (GOSH) study recruited at 22 hospitals between 2011 and 2014. We collected data on age, WNFS grade on admission, history of hypertension, Fisher grade, aneurysm size and location, as well as treatment modality. Functional outcome was measured by the Glasgow Outcome Scale (GOS) with GOS 1 to 3 corresponding to unfavorable and 4 to 5 to favorable functional outcome, according to the SAHIT models. The SAHIT models were assessed for long-term outcome prediction by estimating measures of calibration (calibration slope) and discrimination (area under the receiver-operating characteristic curve [AUC]) in relation to poor clinical outcome. RESULTS Follow-up was standardized to 2 yr using imputation methods. All 3 SAHIT models demonstrated acceptable predictive performance for long-term functional outcome. The estimated AUC was 0.71 (95% CI: 0.65-0.76), 0.73 (95% CI: 0.68-0.77), and 0.74 (95% CI: 0.69-0.79) for the core, neuroimaging, and full models, respectively; the calibration slopes were 0.86, 0.84, and 0.89, indicating good calibration. CONCLUSION The SAHIT prediction models, incorporating simple factors available on hospital admission, show good predictive performance for long-term functional outcome after aSAH.


2019 ◽  
Vol 42 (5) ◽  
pp. 157-162 ◽  
Author(s):  
Roberto Riva ◽  
Marianna Pegoli ◽  
Manuela Contin ◽  
Alessandro Perrone ◽  
Susan Mohamed ◽  
...  

2013 ◽  
Vol 261 (2) ◽  
pp. 309-315 ◽  
Author(s):  
Dennis J. Nieuwkamp ◽  
Arno de Wilde ◽  
Marieke J. H. Wermer ◽  
Ale Algra ◽  
Gabriël J. E. Rinkel

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