{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Jiang QM"],"funding":["Basic Research of Suzhou Medical and Health Care","Natural Science Foundation for Higher Education of Jiangsu Province of China","Suzhou Science and Technology Bureau","National Natural Science Foundation of China","Second Affiliated Hospital of Soochow University","China Association for Science and Technology"],"pagination":["298-307"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9163945"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["18(3)"],"pubmed_abstract":["<h4>Background and purpose</h4>This study aimed to construct an optimal dynamic nomogram for predicting malignant brain edema (MBE) in acute ischemic stroke (AIS) patients after endovascular thrombectomy (ET).<h4>Methods</h4>We enrolled AIS patients after ET from May 2017 to April 2021. MBE was defined as a midline shift of >5 mm at the septum pellucidum or pineal gland based on follow-up computed tomography within 5 days after ET. Multivariate logistic regression and LASSO (least absolute shrinkage and selection operator) regression were used to construct the nomogram. The area under the receiver operating characteristic curve (AUC) and decisioncurve analysis were used to compare our nomogram with two previous risk models for predicting brain edema after ET.<h4>Results</h4>MBE developed i"],"journal":["Journal of clinical neurology (Seoul, Korea)"],"pubmed_title":["Predictors and Dynamic Nomogram to Determine the Individual Risk of Malignant Brain Edema After Endovascular Thrombectomy in Acute Ischemic Stroke."],"pmcid":["PMC9163945"],"funding_grant_id":["SYS2018061","19KJB320004","SYS201724","SLJ2021014","81901198","2018QNRC001","XKTJ-XK202001","XKTJ-TD202004"],"pubmed_authors":["Hou J","Yu S","Dong XF","Xiao GD","Jiang QM","Wang HS","You SJ","Guo ZL","Huang ZC"],"additional_accession":[]},"is_claimable":false,"name":"Predictors and Dynamic Nomogram to Determine the Individual Risk of Malignant Brain Edema After Endovascular Thrombectomy in Acute Ischemic Stroke.","description":"<h4>Background and purpose</h4>This study aimed to construct an optimal dynamic nomogram for predicting malignant brain edema (MBE) in acute ischemic stroke (AIS) patients after endovascular thrombectomy (ET).<h4>Methods</h4>We enrolled AIS patients after ET from May 2017 to April 2021. MBE was defined as a midline shift of >5 mm at the septum pellucidum or pineal gland based on follow-up computed tomography within 5 days after ET. Multivariate logistic regression and LASSO (least absolute shrinkage and selection operator) regression were used to construct the nomogram. The area under the receiver operating characteristic curve (AUC) and decisioncurve analysis were used to compare our nomogram with two previous risk models for predicting brain edema after ET.<h4>Results</h4>MBE developed i","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 May","modification":"2025-04-04T11:46:34.542Z","creation":"2025-04-04T11:46:34.542Z"},"accession":"S-EPMC9163945","cross_references":{"pubmed":["35196752"],"doi":["10.3988/jcn.2022.18.3.298"]}}