Literature DB >> 28973675

The Subarachnoid Hemorrhage Early Brain Edema Score Predicts Delayed Cerebral Ischemia and Clinical Outcomes.

Sung-Ho Ahn1,2, Jude P Savarraj1, Mubashir Pervez1, Wesley Jones3, Jin Park1, Sang-Beom Jeon2, Sun U Kwon2, Tiffany R Chang1, Kiwon Lee1, Dong H Kim3, Arthur L Day3, H Alex Choi1.   

Abstract

BACKGROUND: Early brain injury (EBI) after subarachnoid hemorrhage (SAH) is an important determinant of clinical outcomes. However, a major hindrance to studies of EBI is the lack of radiographic surrogate marker.
OBJECTIVE: To propose a scoring system based on early changes in clinically obtained computed tomography (CT), called the Subarachnoid hemorrhage Early Brain Edema Score (SEBES).
METHODS: Patients with spontaneous aneurysmal SAH and a CT within 24 h of ictus were included. We defined SEBES as a scale of 0 to 4 points according to the (1) absence of visible sulci caused by effacement of sulci or (2) absence of visible sulci with disruption of the gray-white matter junction at 2 predetermined levels in each hemisphere. Prognostic value of the SEBES grade for the prediction of delayed cerebral ischemia (DCI) and unfavorable outcomes was assessed. A separate cohort of patients was used as a validation cohort.
RESULTS: Of the 164 subjects in our study, high-grade SEBES (3 or 4 points) was identified in 48 patients (29.3%). CT interobserver reliability of SEBES grades was high with a Kappa value of 0.89. After adjusting for covariables, SEBES was identified as an independent predictor of DCI (OR = 2.24, 95% CI: 1.58-3.17) and unfavorable outcome (OR = 3.45, 95% CI: 1.95-6.07). In our validation cohort, 84 subjects showed similar predictive power of SEBES for a prediction of DCI and unfavorable long-term outcome.
CONCLUSION: SEBES may be a surrogate marker of EBI and predicts DCI and clinical outcomes after SAH.

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Year:  2018        PMID: 28973675     DOI: 10.1093/neuros/nyx364

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  27 in total

1.  Early Brain Injury Associated with Systemic Inflammation After Subarachnoid Hemorrhage.

Authors:  Jude Savarraj; Kaushik Parsha; Georgene Hergenroeder; Sungho Ahn; Tiffany R Chang; Dong H Kim; H Alex Choi
Journal:  Neurocrit Care       Date:  2018-04       Impact factor: 3.210

2.  A 90-Day Prognostic Model Based on the Early Brain Injury Indicators after Aneurysmal Subarachnoid Hemorrhage: the TAPS Score.

Authors:  Runting Li; Fa Lin; Yu Chen; Junlin Lu; Heze Han; Li Ma; Yahui Zhao; Debin Yan; Ruinan Li; Jun Yang; Shihao He; Zhipeng Li; Haibin Zhang; Kexin Yuan; Ke Wang; Qiang Hao; Xun Ye; Hao Wang; Hongliang Li; Linlin Zhang; Guangzhi Shi; Jianxin Zhou; Yang Zhao; Yukun Zhang; Youxiang Li; Shuo Wang; Xiaolin Chen; Yuanli Zhao
Journal:  Transl Stroke Res       Date:  2022-05-14       Impact factor: 6.829

Review 3.  The blood-brain barrier and the neurovascular unit in subarachnoid hemorrhage: molecular events and potential treatments.

Authors:  Peter Solár; Alemeh Zamani; Klaudia Lakatosová; Marek Joukal
Journal:  Fluids Barriers CNS       Date:  2022-04-11

4.  Dose-Dependent Inhibitory Effects of Cilostazol on Delayed Cerebral Infarction After Aneurysmal Subarachnoid Hemorrhage.

Authors:  Hidenori Suzuki; Yoshinari Nakatsuka; Ryuta Yasuda; Masato Shiba; Yoichi Miura; Mio Terashima; Yume Suzuki; Koichi Hakozaki; Fuki Goto; Naoki Toma
Journal:  Transl Stroke Res       Date:  2018-07-23       Impact factor: 6.829

5.  Pituitary Adenylate Cyclase-Activating Polypeptide Attenuates Brain Edema by Protecting Blood-Brain Barrier and Glymphatic System After Subarachnoid Hemorrhage in Rats.

Authors:  Yuanjian Fang; Hui Shi; Reng Ren; Lei Huang; Takeshi Okada; Cameron Lenahan; Marcin Gamdzyk; Zachary D Travis; Qin Lu; Lihui Tang; Yi Huang; Keren Zhou; Jiping Tang; Jianmin Zhang; John H Zhang
Journal:  Neurotherapeutics       Date:  2020-09-11       Impact factor: 7.620

6.  Machine Learning to Predict Delayed Cerebral Ischemia and Outcomes in Subarachnoid Hemorrhage.

Authors:  Jude P J Savarraj; Georgene W Hergenroeder; Liang Zhu; Tiffany Chang; Soojin Park; Murad Megjhani; Farhaan S Vahidy; Zhongming Zhao; Ryan S Kitagawa; H Alex Choi
Journal:  Neurology       Date:  2020-11-12       Impact factor: 9.910

7.  Automated Quantification of Reduced Sulcal Volume Identifies Early Brain Injury After Aneurysmal Subarachnoid Hemorrhage.

Authors:  Jane Y Yuan; Yasheng Chen; Atul Kumar; Zach Zlepper; Keshav Jayaraman; Wint Y Aung; Julian V Clarke; Michelle Allen; Umeshkumar Athiraman; Joshua Osbun; Gregory J Zipfel; Rajat Dhar
Journal:  Stroke       Date:  2021-02-16       Impact factor: 7.914

8.  Applying Quantitative Radiographic Image Markers to Predict Clinical Complications After Aneurysmal Subarachnoid Hemorrhage: A Pilot Study.

Authors:  Gopichandh Danala; Masoom Desai; Bappaditya Ray; Morteza Heidari; Sai Kiran R Maryada; Calin I Prodan; Bin Zheng
Journal:  Ann Biomed Eng       Date:  2022-02-02       Impact factor: 3.934

9.  INT-777 attenuates NLRP3-ASC inflammasome-mediated neuroinflammation via TGR5/cAMP/PKA signaling pathway after subarachnoid hemorrhage in rats.

Authors:  Xiao Hu; Jun Yan; Lei Huang; Camila Araujo; Jun Peng; Ling Gao; Shengpeng Liu; Jiping Tang; Gang Zuo; John H Zhang
Journal:  Brain Behav Immun       Date:  2020-09-19       Impact factor: 7.217

10.  Easily Created Prediction Model Using Automated Artificial Intelligence Framework (Prediction One, Sony Network Communications Inc., Tokyo, Japan) for Subarachnoid Hemorrhage Outcomes Treated by Coiling and Delayed Cerebral Ischemia.

Authors:  Masahito Katsuki; Shin Kawamura; Akihito Koh
Journal:  Cureus       Date:  2021-06-16
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