A nomogram for predicting malignant cerebral artery infarction in the modern thrombectomy era

ObjectiveThis study aimed to develop and validate a nomogram to predict malignant cerebral artery infarction (MMI) after endovascular treatment (EVT) in patients with acute ischemic stroke (AIS) in the modern thrombectomy era.MethodsWe retrospectively analyzed data from a prospective cohort of conse...

Full description

Bibliographic Details
Main Authors: Wenting Guo, Jiali Xu, Wenbo Zhao, Mengke Zhang, Jin Ma, Jian Chen, Jiangang Duan, Qingfeng Ma, Haiqing Song, Sijie Li, Xunming Ji
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Neurology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.934051/full
_version_ 1828105317793136640
author Wenting Guo
Jiali Xu
Wenbo Zhao
Wenbo Zhao
Mengke Zhang
Jin Ma
Jian Chen
Jiangang Duan
Qingfeng Ma
Haiqing Song
Sijie Li
Sijie Li
Xunming Ji
Xunming Ji
Xunming Ji
author_facet Wenting Guo
Jiali Xu
Wenbo Zhao
Wenbo Zhao
Mengke Zhang
Jin Ma
Jian Chen
Jiangang Duan
Qingfeng Ma
Haiqing Song
Sijie Li
Sijie Li
Xunming Ji
Xunming Ji
Xunming Ji
author_sort Wenting Guo
collection DOAJ
description ObjectiveThis study aimed to develop and validate a nomogram to predict malignant cerebral artery infarction (MMI) after endovascular treatment (EVT) in patients with acute ischemic stroke (AIS) in the modern thrombectomy era.MethodsWe retrospectively analyzed data from a prospective cohort of consecutive patients with AIS who underwent EVT at Xuanwu hospital between January 2013 and June 2021. A multivariable logistic regression model was employed to construct the nomogram for predicting MMI after EVT. The discrimination and calibration of the nomogram were assessed both in the derivation and validation cohorts.ResultsA total of 605 patients were enrolled in this study, with 425 in the derivation cohort and 180 in the validation cohort. The nomogram was developed based on admission systolic blood pressure (SBP), the National Institute of Health Stroke Score (NIHSS), the Alberta Stroke Program Early Computed Tomography Score (ASPECTS), vessel occlusion site, EVT time window, and recanalization status. The nomogram displayed good discrimination with the area under the receiver operating characteristics (ROCs) curve (AUC) of 0.783 [95% confidence interval (CI), 0.726–0.840] in the derivation cohort and 0.806 (95% CI, 0.738–0.874) in the validation cohort. The calibration of the nomogram was good as well, with the Hosmer–Lemeshow test of p = 0.857 in the derivation cohort and p = 0.275 in the validation cohort.ConclusionIn the modern thrombectomy era, a nomogram containing admission SBP, NIHSS, ASPECTS, vessel occlusion site, EVT time window, and recanalization status may predict the risk of MMI after EVT in patients with AIS.
first_indexed 2024-04-11T10:01:20Z
format Article
id doaj.art-0819e386103e44728069bf873b125470
institution Directory Open Access Journal
issn 1664-2295
language English
last_indexed 2024-04-11T10:01:20Z
publishDate 2022-09-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Neurology
spelling doaj.art-0819e386103e44728069bf873b1254702022-12-22T04:30:25ZengFrontiers Media S.A.Frontiers in Neurology1664-22952022-09-011310.3389/fneur.2022.934051934051A nomogram for predicting malignant cerebral artery infarction in the modern thrombectomy eraWenting Guo0Jiali Xu1Wenbo Zhao2Wenbo Zhao3Mengke Zhang4Jin Ma5Jian Chen6Jiangang Duan7Qingfeng Ma8Haiqing Song9Sijie Li10Sijie Li11Xunming Ji12Xunming Ji13Xunming Ji14Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaBeijing Key Laboratory of Hypoxic Conditioning Translational Medicine, Xuanwu Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, ChinaDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaBeijing Key Laboratory of Hypoxic Conditioning Translational Medicine, Xuanwu Hospital, Capital Medical University, Beijing, ChinaDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, ChinaBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, ChinaObjectiveThis study aimed to develop and validate a nomogram to predict malignant cerebral artery infarction (MMI) after endovascular treatment (EVT) in patients with acute ischemic stroke (AIS) in the modern thrombectomy era.MethodsWe retrospectively analyzed data from a prospective cohort of consecutive patients with AIS who underwent EVT at Xuanwu hospital between January 2013 and June 2021. A multivariable logistic regression model was employed to construct the nomogram for predicting MMI after EVT. The discrimination and calibration of the nomogram were assessed both in the derivation and validation cohorts.ResultsA total of 605 patients were enrolled in this study, with 425 in the derivation cohort and 180 in the validation cohort. The nomogram was developed based on admission systolic blood pressure (SBP), the National Institute of Health Stroke Score (NIHSS), the Alberta Stroke Program Early Computed Tomography Score (ASPECTS), vessel occlusion site, EVT time window, and recanalization status. The nomogram displayed good discrimination with the area under the receiver operating characteristics (ROCs) curve (AUC) of 0.783 [95% confidence interval (CI), 0.726–0.840] in the derivation cohort and 0.806 (95% CI, 0.738–0.874) in the validation cohort. The calibration of the nomogram was good as well, with the Hosmer–Lemeshow test of p = 0.857 in the derivation cohort and p = 0.275 in the validation cohort.ConclusionIn the modern thrombectomy era, a nomogram containing admission SBP, NIHSS, ASPECTS, vessel occlusion site, EVT time window, and recanalization status may predict the risk of MMI after EVT in patients with AIS.https://www.frontiersin.org/articles/10.3389/fneur.2022.934051/fullischemic strokethrombectomymalignantbrain edemanomogram
spellingShingle Wenting Guo
Jiali Xu
Wenbo Zhao
Wenbo Zhao
Mengke Zhang
Jin Ma
Jian Chen
Jiangang Duan
Qingfeng Ma
Haiqing Song
Sijie Li
Sijie Li
Xunming Ji
Xunming Ji
Xunming Ji
A nomogram for predicting malignant cerebral artery infarction in the modern thrombectomy era
Frontiers in Neurology
ischemic stroke
thrombectomy
malignant
brain edema
nomogram
title A nomogram for predicting malignant cerebral artery infarction in the modern thrombectomy era
title_full A nomogram for predicting malignant cerebral artery infarction in the modern thrombectomy era
title_fullStr A nomogram for predicting malignant cerebral artery infarction in the modern thrombectomy era
title_full_unstemmed A nomogram for predicting malignant cerebral artery infarction in the modern thrombectomy era
title_short A nomogram for predicting malignant cerebral artery infarction in the modern thrombectomy era
title_sort nomogram for predicting malignant cerebral artery infarction in the modern thrombectomy era
topic ischemic stroke
thrombectomy
malignant
brain edema
nomogram
url https://www.frontiersin.org/articles/10.3389/fneur.2022.934051/full
work_keys_str_mv AT wentingguo anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT jialixu anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT wenbozhao anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT wenbozhao anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT mengkezhang anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT jinma anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT jianchen anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT jiangangduan anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT qingfengma anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT haiqingsong anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT sijieli anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT sijieli anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT xunmingji anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT xunmingji anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT xunmingji anomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT wentingguo nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT jialixu nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT wenbozhao nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT wenbozhao nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT mengkezhang nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT jinma nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT jianchen nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT jiangangduan nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT qingfengma nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT haiqingsong nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT sijieli nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT sijieli nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT xunmingji nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT xunmingji nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera
AT xunmingji nomogramforpredictingmalignantcerebralarteryinfarctioninthemodernthrombectomyera