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- W2940374482 abstract "Background: The SNOW scale, previously called the Pomona scale, was developed to predict large-vessel occlusions (LVO) in patients with acute ischemic stroke (AIS). The original study showed a high accuracy of this scale. We sought to externally validate the SNOW scale in an independent cohort. Methods: We retrospectively reviewed and calculated SNOW scale, the Vision Aphasia and Neglect Scale (VAN), the Cincinnati Prehospital Stroke Severity (CPSS), the Los Angeles Motor Scale (LAMS), the Prehospital Acute Stroke Severity Scale (PASS) for all patients who presented within 24 hours after onset at AHCS (14 hospitals) between January 2015-December 2016. The predictive performance of all scales and several National Institute of Health Stroke Scale (NIHSS) cut offs ≥6 were determined and compared. LVO was defined by total occlusions involving the intracranial internal carotid artery, middle cerebral artery (M1), or basilar arteries. Results: Among 2183 AIS patients, 1381 had vascular imaging and were included in the analysis. LVO was detected in 169 (12%). A positive SNOW scale had comparable accuracy to predict LVO and showed a sensitivity of 0.80, specificity of 0.76, positive predictive value of 0.31, and negative predictive value of 0.96 for the detection of LVO versus CPSS ≥ 2 of 0.64, 0.87, 0.41 and 0.95. A positive SNOW scale had higher accuracy than VAN, LAMS, and PASS . Conclusion: In our large stroke network cohort, the SNOW scale has promising sensitivity, specificity and accuracy to predict LVO. Future prospective studies in both prehospital and emergency room settings are warranted." @default.
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- W2940374482 date "2019-01-01" @default.
- W2940374482 modified "2023-09-24" @default.
- W2940374482 title "Validation of Stroke Network of Wisconsin (SNOW) Scale at Aurora Health Care System (AHCS)" @default.
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