The predictive value of the CTA Vasospasm Score on delayed cerebral ischaemia and functional outcome after aneurysmal subarachnoid hemorrhage
J. Joep van der Harst, Gert-Jan Luijckx, Jan Willem J. Elting, Thijs Lammers, Reinoud P.H. Bokkers, Walter M. van den Bergh, Omid Eshghi, Jan D. M. Metzemaekers, Rob J. M. Groen, Aryan Mazuri, Nic J.G.M. Veeger, J. Marc C. van Dijk, Maarten Uyttenboogaart
Abstract
BACKGROUND AND PURPOSE: Delayed cerebral ischaemia (DCI) is a severe complication of aneurysmal subarachnoid hemorrhage that can significantly impact clinical outcome. Cerebral vasospasm is part of the pathophysiology of DCI and therefore a computed tomography angiography (CTA) Vasospasm Score was developed and an exploration was carried out of whether this score predicts DCI and subsequent poor outcome after aneurysmal subarachnoid hemorrhage. METHODS: The CTA Vasospasm Score sums the degree of angiographic cerebral vasospasm of 17 intradural arterial segments. The score ranges from 0 to 34 with a higher score reflecting more severe vasospasm. Outcome measures were cerebral infarction due to DCI (CI-DCI), radiological and clinical DCI, and unfavorable functional outcome defined as a modified Rankin Scale >2 at 6 months. Receiver operating characteristic analyses were used to assess predictive value and to determine optimal cut-off scores. Inter-rater reliability was evaluated by Cohen's kappa coefficient. RESULTS: This study included 59 patients. CI-DCI occurred in eight patients (14%), DCI in 14 patients (24%) and unfavorable outcome in 12 patients (20%). Median CTA Vasospasm Scores were higher in patients with (CI-)DCI and poor outcome. Receiver operating characteristic analysis revealed the highest area under the curve on day 5: CI-DCI 0.89 (95% confidence interval [CI] 0.79-0.99), DCI 0.68 (95% CI 0.50-0.87) and functional outcome 0.74 (95% CI 0.57-0.91). Cohen's kappa between the two raters was moderate to substantial (0.57-0.63). CONCLUSIONS: This study demonstrates that the CTA Vasospasm Score on day 5 can reliably identify patients with a high risk of developing (CI-)DCI and unfavorable outcome.