Evidence map›Paper›PMID 40410425›Full record

ArticleNeurosurgical review2025

A nomogram-based model for predicting asymptomatic intracerebral hemorrhage in acute ischemic stroke patients following endovascular thrombectomy.

Bang Luo, Qing Ye, Liang Chen, Shengjiao Liang, Kai Liu, Binling He, Gang Chen, Chunlan Huang, Lei Zhang, Lin Chen and 2 more

Abstract read
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Article in Neurosurgical review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Bang LuoDepartment of Neurology, Hengyang Medical School, The Second Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China.
Qing YeDepartment of Neurology, Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China.
Liang ChenDepartment of Neurology, Hengyang Medical School, Nanhua Hospital, University of South China, Hengyang, 421001, Hunan, China.
Shengjiao LiangDepartment of Neurology, Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China.
Kai LiuDepartment of Neurology, Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China.
Binling HeDepartment of Neurology, Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China.
Gang ChenDepartment of Neurology, Hengyang Medical School, The Second Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China.
Chunlan HuangDepartment of Neurology, Hengyang Medical School, The Second Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China.
Lei ZhangDepartment of Neurology, Hengyang Medical School, The Second Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China.
Lin ChenDepartment of Neurology, Hengyang Medical School, The Second Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China.
Zongze LiDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China.
Mei YuanDepartment of Neurology, Hengyang Medical School, The Second Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China. 2012020002@usc.edu.cn.

Funding

Clinical Research Center For Prevention and Treatment of Cognitive Impairment in Hunan Province No. 2023SK4050Major Scientific Research Projects for Advanced Talents of the Hunan Provincial Health Commission No. R2023150The Health Research Project of Hunan Provincial Health Commission No. 202203072849The Natural Science Foundation of Hunan Province No. 2022JJ30523The University of South China Clinical Research 4310 Program No. 20224310NHYCG08
6 · The paper itself

Abstract

This study aimed to create a personalized risk assessment model for asymptomatic intracerebral hemorrhage (aICH) following endovascular thrombectomy (ET) to aid clinical decision-making. Between 2019 and 2023, 469 inpatients with acute ischemic stroke (AIS) who received ET treatment within 24 h of onset were recruited from three centers. Patients were randomly assigned to either a training or validation cohort. Univariate and multivariate logistic regression analyses were conducted to identify independent factors for aICH. A nomogram-based model was developed for personalized risk assessment for aICH following ET. The model's usability was evaluated using the receiver operating characteristic (ROC) curve, and a calibration curve was plotted to compare predicted probabilities with actual occurrences. The feasibility of the model for practical clinical application was assessed using decision curve analysis. Four independent risk factors for aICH in patients with AIS following ET were identified: preoperative Alberta Stroke Program Early Computed Tomography score [odds ratio (OR) = 0.686, 95% confidence interval (CI): 0.581-0.811], time from onset to surgery completion (OR = 1.186, 95% CI: 1.097-1.282), intraoperative arterial thrombolysis (OR = 2.405, 95% CI: 1.289-4.487), and Careggi collateral score (OR = 0.560, 95% CI: 0.422-0.743). ROC analysis indicated that the model demonstrated excellent accuracy and discrimination with area under the curve values of 0.812 (95% CI: 0.763-0.861) and 0.896 (95% CI, 0.843-0.949) for the training and validation cohorts, respectively. This nomogram-based model is a reliable personalized tool for evaluating the risk of aICH in patients with AIS after ET.

Indexed as

Cerebral HemorrhageEndovascular ProceduresIschemic StrokeNomogramsThrombectomyAgedAged, 80 and overFemaleHumansMaleMiddle AgedRisk AssessmentRisk FactorsAcute ischemic strokeAsymptomatic intracerebral hemorrhageIntravascular thrombectomyNomogramRisk factor

Identifiers

PMID40410425

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.