Pretreatment predictors of malignant evolution in patients with ischemic stroke undergoing mechanical thrombectomy. (10th August 2017)

• Record Type: Journal Article
• Authors: Davoli, Alessandro; Motta, Caterina; Koch, Giacomo; Diomedi, Marina; Napolitano, Simone; Giordano, Angela; Panella, Marta; Morosetti, Daniele; Fabiano, Sebastiano; Floris, Roberto; Gandini, Roberto; Sallustio, Fabrizio
• Is Part Of: Journal of neurointerventional surgery. Volume 10:Number 4(2018)
• Page Start: 340
• Page End: 344
• Publication Date: 2017-08-10
• Subjects: stroke -- thrombectomy -- ct angiography -- blood pressure -- malignant; Nervous system -- Surgery -- Periodicals; Cerebrovascular disease -- Surgery -- Periodicals; 617.48
• DOI: 10.1136/neurintsurg-2017-013224
• Languages: English
• ISSNs: 1759-8478

Abstract

Abstract : Background: Few data exist on malignant middle cerebral artery infarction (MMI) among patients with acute ischemic stroke (AIS) after endovascular treatment (ET). Numerous predictors of MMI evolution have been proposed, but a comprehensive research of patients undergoing ET has never been performed. Our purpose was to find a practical model to determine robust predictors of MMI in patients undergoing ET. Methods: Patients from a prospective single-center database with AIS secondary to large intracranial vessel occlusion of the anterior circulation, treated with ET, were retrospectively analyzed. We investigated demographic, clinical, and radiological data. Multivariate regression analysis was used to identify clinical and imaging predictors of MMI. Results: 98 patients were included in the analysis, 35 of whom developed MMI (35.7%). No differences in the rate of successful reperfusion and time from stroke onset to reperfusion were found between the MMI and non-MMI groups. The following parameters were identified as independent predictors of MMI: systolic blood pressure (SBP) on admission (p=0.008), blood glucose (BG) on admission (p=0.024), and the CTangiography (CTA) Alberta Stroke Program Early CT Score (ASPECTS) (p=0.001). A scoreof ≤5 in CTA ASPECTS was the best cut-off to predict MMI evolution (sensitivity 46%; specificity 97%; positive predictive value 78%; negative predictive value 65%). Conclusions: in our study a clinical and radiological features-based model was strongly predictive of MMI evolution in AIS. High SBP and BG on admission and, especially, a CTA ASPECTS ≤5 may help to make decisions quickly, regardless of time to treatment and successful reperfusion.