A novel score to estimate thrombus burden and predict intracranial hypertension in cerebral venous sinus thrombosis

Author:

Wang Zhongao1,Dandu Chaitu2,Guo Yibing1,Gao Meini1,Lan Duo1,Pan Liqun1,Zhou Da1,Ding Yuchuan1,Ji Xunming1,Meng Ran1

Affiliation:

1. Xuan Wu Hospital of the Capital Medical University

2. Wayne State University School of Medicine

Abstract

Abstract Background: The current methods to evaluate the severity of cerebral venous sinus thrombosis (CVST) lack patient-specific indexes. Herein, a novel scoring method was investigated to estimate the thrombus burden and the intracranial pressure (ICP) of CVST. Methods: We consecutively included eligible patients, with a first-time diagnosis of CVST by contrast-enhanced magnetic resonance venography (CE-MRV) or computed tomography venography (CTV), in this retrospective study from January 2019 through December 2021. A comprehensive CVST-Score was established according to magnetic resonance black blood thrombus imaging (MRBTI) to estimate the thrombus burden semi-quantitatively. The relationship between CVST-Score and ICP was explored to assess its potential to monitor ICP noninvasively. Results: A total of 87 patients were included into the final analysis. The CVST-Scores in different ICP subgroups were as follows: 4.29±2.87 in ICP<250mmH2O subgroup, 11.36±3.86 in ICP =250-330mmH2O subgroup and 14.99±3.15 in ICP>330mmH2O subgroup, respectively (p<0.001). For patients with ICP ≤330mmH2O, CVST-Scores were linearly and positively correlated with ICP (R2=0.53). The receiver operating characteristic (ROC) curves showed the optimal CVST-Score cut-off values to predict ICP ≥250mmH2O and >330mmH2O were 7.15 and 11.62, respectively (P<0.001). Multivariate analysis indicated CVST-Score as an independent predictor of ICP ≥250mmH2O (odds ratio, 2.15; 95% confidence interval, 1.49-3.10; p<0.001). Conclusions: A simple and noninvasive CVST-Score could be employed to rapidly estimate the thrombus burden and predict the severity of intracranial hypertension in patients with CVST. It can be used to evaluate therapeutic responses and avoid unnecessary invasive procedures at long-term follow-up.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3