Open Access<p>A Nomogram Model to Predict Malignant Cerebral Edema in Ischemic Stroke Patients Treated with Endovascular Thrombectomy: An Observational Study</p>
Author(s) -
Mingyang Du,
Xianjun Huang,
Shun Li,
Lili Xu,
Bin Yan,
Yi Zhang,
Huaiming Wang,
Xinfeng Liu
Publication year - 2020
Publication title -
neuropsychiatric disease and treatment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.819
H-Index - 67
eISSN - 1178-2021
pISSN - 1176-6328
DOI - 10.2147/ndt.s279303
Subject(s) - medicine , nomogram , stroke (engine) , collateral circulation , confidence interval , receiver operating characteristic , area under the curve , confounding , occlusion , cardiology , odds ratio , logistic regression , surgery , radiology , mechanical engineering , engineering
Malignant cerebral edema (MCE) in patients undergoing endovascular thrombectomy (EVT) is not uncommon and can reduce the benefit of EVT. We aimed to develop a nomogram model to predict the risk of MCE in ischemic stroke patients after EVT.