A Nomogram Prediction Model Based on Tissue Window for the Prognosis of Patients with Acute Ischemic Stroke Undergoing Thrombectomy

• Published in: Current neurovascular research Vol. 20; no. 1; p. 23
• Main Authors: Zhao, Jie-Ji, Chen, Hui-Ru, Cui, Jun-Yi, Ye, Meng-Fan, Li, Tan, Cai, Xiu-Ying, Ma, Lin-Qing, Zhang, Run-Ping, Kong, Yan
• Format: Journal Article
• Language: English
• Published: United Arab Emirates 01.01.2023
• Subjects: Brain Ischemia - diagnostic imaging; Brain Ischemia - surgery; Cerebral Infarction - complications; Cholesterol, LDL; Humans; Ischemic Stroke - diagnostic imaging; Ischemic Stroke - surgery; Nomograms; Prognosis; Retrospective Studies; Stroke - diagnostic imaging; Stroke - surgery; Thrombectomy; Treatment Outcome; NIHSS; ischemic penumbra; risk stratification; nomogram; Acute ischemic stroke; thrombectomy

Thrombectomy greatly improves the clinical prognosis of patients with acute ischemic stroke (AIS). The aim of this study is to develop a nomogram model that can predict the prognosis of patients with acute ischemic stroke undergoing thrombectomy. We retrospectively collected information of patients...