Magnus Thorén1, Elsa Azevedo2, Jesse Dawson2, Jose A Egido2, Anne Falcou2, Gary A Ford2, Staffan Holmin2, Robert Mikulik2, Jyrki Ollikainen2, Nils Wahlgren2, Niaz Ahmed2. 1. From the Department of Neurology (M.T., N.A.), and Department of Neuroradiology (S.H.), Karolinska University Hospital and Department of Clinical Neuroscience, Karolinska Institutet, Sweden; Department of Clinical Neuroscience, Karolinska Institutet, Sweden (N.W.); Department of Neurology, São João Hospital Center, and Department of Clinical Neurosciences and Mental Health, Faculty of Medicine of University of Porto, Portugal (E.A.); Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary & Life Sciences, University of Glasgow, United Kingdom (J.D.); Stroke Unit, Neurology Department, Hospital Clínico San Carlos, Madrid, Spain (J.A.E.); Emergency Department Stroke Unit, Policlinico Umberto I Hospital, "Sapienza" University of Rome, Italy (A.F.); Acute Stroke Service, Oxford University Hospitals NHS Foundation Trust, and Radcliffe Department of Medicine, Oxford University, United Kingdom (G.A.F.); International Clinical Research Center and Department of Neurology, St Anne's University Hospital Brno, and Faculty of Medicine, Masaryk University, Czech Republic (R.M.); and Department of Neurology, Tampere University Hospital, Finland (J.O.). magnus.thoren@sll.se. 2. From the Department of Neurology (M.T., N.A.), and Department of Neuroradiology (S.H.), Karolinska University Hospital and Department of Clinical Neuroscience, Karolinska Institutet, Sweden; Department of Clinical Neuroscience, Karolinska Institutet, Sweden (N.W.); Department of Neurology, São João Hospital Center, and Department of Clinical Neurosciences and Mental Health, Faculty of Medicine of University of Porto, Portugal (E.A.); Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary & Life Sciences, University of Glasgow, United Kingdom (J.D.); Stroke Unit, Neurology Department, Hospital Clínico San Carlos, Madrid, Spain (J.A.E.); Emergency Department Stroke Unit, Policlinico Umberto I Hospital, "Sapienza" University of Rome, Italy (A.F.); Acute Stroke Service, Oxford University Hospitals NHS Foundation Trust, and Radcliffe Department of Medicine, Oxford University, United Kingdom (G.A.F.); International Clinical Research Center and Department of Neurology, St Anne's University Hospital Brno, and Faculty of Medicine, Masaryk University, Czech Republic (R.M.); and Department of Neurology, Tampere University Hospital, Finland (J.O.).
Abstract
BACKGROUND AND PURPOSE: Cerebral edema (CED) is a severe complication of acute ischemic stroke. There is uncertainty regarding the predictors for the development of CED after cerebral infarction. We aimed to determine which baseline clinical and radiological parameters predict development of CED in patients treated with intravenous thrombolysis. METHODS: We used an image-based classification of CED with 3 degrees of severity (less severe CED 1 and most severe CED 3) on postintravenous thrombolysis imaging scans. We extracted data from 42 187 patients recorded in the SITS International Register (Safe Implementation of Treatments in Stroke) during 2002 to 2011. We did univariate comparisons of baseline data between patients with or without CED. We used backward logistic regression to select a set of predictors for each CED severity. RESULTS: CED was detected in 9579/42 187 patients (22.7%: 12.5% CED 1, 4.9% CED 2, 5.3% CED 3). In patients with CED versus no CED, the baseline National Institutes of Health Stroke Scale score was higher (17 versus 10; P<0.001), signs of acute infarct was more common (27.9% versus 19.2%; P<0.001), hyperdense artery sign was more common (37.6% versus 14.6%; P<0.001), and blood glucose was higher (6.8 versus 6.4 mmol/L; P<0.001). Baseline National Institutes of Health Stroke Scale, hyperdense artery sign, blood glucose, impaired consciousness, and signs of acute infarct on imaging were independent predictors for all edema types. CONCLUSIONS: The most important baseline predictors for early CED are National Institutes of Health Stroke Scale, hyperdense artery sign, higher blood glucose, decreased level of consciousness, and signs of infarct at baseline. The findings can be used to improve selection and monitoring of patients for drug or surgical treatment.
BACKGROUND AND PURPOSE:Cerebral edema (CED) is a severe complication of acute ischemic stroke. There is uncertainty regarding the predictors for the development of CED after cerebral infarction. We aimed to determine which baseline clinical and radiological parameters predict development of CED in patients treated with intravenous thrombolysis. METHODS: We used an image-based classification of CED with 3 degrees of severity (less severe CED 1 and most severe CED 3) on postintravenous thrombolysis imaging scans. We extracted data from 42 187 patients recorded in the SITS International Register (Safe Implementation of Treatments in Stroke) during 2002 to 2011. We did univariate comparisons of baseline data between patients with or without CED. We used backward logistic regression to select a set of predictors for each CED severity. RESULTS: CED was detected in 9579/42 187 patients (22.7%: 12.5% CED 1, 4.9% CED 2, 5.3% CED 3). In patients with CED versus no CED, the baseline National Institutes of Health Stroke Scale score was higher (17 versus 10; P<0.001), signs of acute infarct was more common (27.9% versus 19.2%; P<0.001), hyperdense artery sign was more common (37.6% versus 14.6%; P<0.001), and blood glucose was higher (6.8 versus 6.4 mmol/L; P<0.001). Baseline National Institutes of Health Stroke Scale, hyperdense artery sign, blood glucose, impaired consciousness, and signs of acute infarct on imaging were independent predictors for all edema types. CONCLUSIONS: The most important baseline predictors for early CED are National Institutes of Health Stroke Scale, hyperdense artery sign, higher blood glucose, decreased level of consciousness, and signs of infarct at baseline. The findings can be used to improve selection and monitoring of patients for drug or surgical treatment.
Authors: Antonio Muscari; Luca Faccioli; Maria Vittoria Lega; Andrea Lorusso; Marco Pastore Trossello; Giovanni M Puddu; Luca Spinardi; Marco Zoli Journal: Neurol Sci Date: 2019-01-19 Impact factor: 3.307
Authors: Rajat Dhar; Ali Hamzehloo; Atul Kumar; Yasheng Chen; June He; Laura Heitsch; Agnieszka Slowik; Daniel Strbian; Jin-Moo Lee Journal: J Cereb Blood Flow Metab Date: 2021-05-20 Impact factor: 6.200
Authors: Hossein Mohammadian Foroushani; Ali Hamzehloo; Atul Kumar; Yasheng Chen; Laura Heitsch; Agnieszka Slowik; Daniel Strbian; Jin-Moo Lee; Daniel S Marcus; Rajat Dhar Journal: Neurocrit Care Date: 2020-07-29 Impact factor: 3.210
Authors: Simiao Wu; Grant Mair; Geoff Cohen; Zoe Morris; Anders von Heijne; Nick Bradey; Lesley Cala; Andre Peeters; Andrew J Farrall; Alessandro Adami; Gillian Potter; Ming Liu; Richard I Lindley; Peter A G Sandercock; Joanna M Wardlaw Journal: Stroke Vasc Neurol Date: 2020-11-27