scholarly journals Development and validation of outcome prediction models for aneurysmal subarachnoid haemorrhage: the SAHIT multinational cohort study

BMJ ◽  
2018 ◽  
pp. j5745 ◽  
Author(s):  
Blessing N R Jaja ◽  
Gustavo Saposnik ◽  
Hester F Lingsma ◽  
Erin Macdonald ◽  
Kevin E Thorpe ◽  
...  
Keyword(s):  
Cohort Study ◽  
Subarachnoid Haemorrhage ◽  
Outcome Prediction ◽  
Prediction Models ◽  
Aneurysmal Subarachnoid Haemorrhage ◽  
Development And Validation

Cervical arterial abnormalities and outcome after aneurysmal subarachnoid haemorrhage: A pilot cohort study

2020 ◽  
Vol 39 (6) ◽  
pp. 832-836
Author(s):  
Clement Gakuba ◽  
Jean-Luc Hanouz ◽  
Charlotte Abadie ◽  
Thomas Gaberel ◽  
Florent Braud ◽  
...  
Keyword(s):  
Cohort Study ◽  
Subarachnoid Haemorrhage ◽  
Aneurysmal Subarachnoid Haemorrhage

scholarly journals Computed tomography in the assessment of aneurysmal subarachnoid haemorrhage for clinical outcome: an observational cohort study

2020 ◽  
Author(s):  
David Couret ◽  
Salah Boussen ◽  
Dan Cardoso ◽  
Audrey Alonzo ◽  
Sylvain Madec ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cohort Study ◽  
Subarachnoid Haemorrhage ◽  
Neurological Outcome ◽  
Area Under The Curve ◽  
Intraventricular Haemorrhage ◽  
Aneurysmal Subarachnoid Haemorrhage ◽  
Acute Hydrocephalus ◽  
Poor Neurological Outcome ◽  
Patients At Risk

Abstract Background: Aneurysmal subarachnoid haemorrhage (aSAH) is a life-threatening event with major complications such as delayed cerebral infarction (DCI) or acute hydrocephalus and poor neurological outcome. DCI occurs most frequently 7 days after aSAH and can last for a prolonged period. The ability to predict these complications would allow the neuro-intensivist to identify patients at risk and select the most appropriate unit for hospitalization. Methods: A 3-year single-centre retrospective cohort study was conducted in our neuroscience critical care unit. Initial computed tomography (CT) scans in patients hospitalized for aSAH were blindly assessed using eight grading systems: the Fisher scale, modified Fisher scale, Barrow Neurological Institute scale, Hijdra scale, Intraventricular Haemorrhage (IVH) score, Graeb score, and LeRoux score. We evaluated and compared these radiological scales for the early prediction of DCI, acute hydrocephalus, and poor neurological outcome at 3 months. Results: Of 200 patients with aSAH who survived to day 7 and were included for DCI analysis, 39% cases were complicated with DCI. The Hijdra scale was the best predictor for DCI, with a receiver operating characteristic area under the curve (ROCAUC) of 0.80 (95% confidence interval [CI], 0.74–0.85). The ideal cut-off score for all patients was 20/42, with a sensitivity of 85% (95% CI, 75%–94%) and specificity of 63% (95% CI, 54%–71%). The IVH score was the most effective grading system for predicting acute hydrocephalus, with a ROC AUC of 0.85 (95% CI, 0.79–0.89). In multivariate analysis, the Hijdra scale was the only independent predictor of the occurrence of DCI (hazard ratio, 1.18; 95% CI, 1.10–1.27). Conclusions: Although these results have yet to be prospectively confirmed, our findings suggest that the Hijdra scale may be a good predictor of DCI and could be useful in daily clinical practice.

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