AbstractBackgroundThe presence of angiographic vasospasm after aneurysmal subarachnoid hemorrhage (aSAH) is associated with delayed-cerebral ischemia (DCI)-related cerebral infarction and worsened neurological outcome. Transcranial doppler (TCD) measurements of cerebral blood velocity are commonly used after aSAH to screen for vasospasm. We sought to determine whether time-varying TCD measured vasospasm severity is associated with cerebral infarction and to investigate the performance characteristics of different time/severity cutoffs for predicting cerebral infarction.MethodsWe used a retrospective, single-center cohort of consecutive adult aSAH patients with angiographic vasospasm and at least one TCD study. Our primary outcome was DCI-related cerebral infarction, defined as an infarction developing at least 2 days after any surgical intervention without an alternative cause. Time-varying TCD vasospasm severity was defined ordinally (absent, mild, moderate, severe) by the most abnormal vessel on each post-admission hospital day. Cox proportional-hazards models were used to examine associations between time-varying vasospasm severity and infarction. The optimal TCD-based time/severity thresholds for predicting infarction were then identified using the Youden J statistic.ResultsOf 218 aSAH patients with angiographic vasospasm, 27 (12%) developed DCI-related infarction. As compared to those without infarction, patients with infarction had higher modified Fisher scale (mFS) scores, and an earlier onset of more-severe vasospasm. Adjusted for mFS, vasospasm severity was associated with infarction (aHR 1.9, 95% CI: 1.3-2.6). A threshold of at least mild vasospasm severity on hospital day 4 had a negative predictive value of 92% for the development of infarction, but a positive predictive value of 25%.ConclusionsIn aSAH, TCD-measured vasospasm severity is associated with DCI-related infarction. In a single-center dataset, a TCD-based threshold for predicting infarction had a high negative predictive value, supporting its role as an early screening tool to identify at-risk patients.