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Yang S, Tan B, Lin J, Wang X, Fu C, Wang K, Qian J, Liu J, Xian J, Tan L, Feng H, Chen Y, Wang L. Monitoring of Perioperative Microcirculation Dysfunction by Near-Infrared Spectroscopy for Neurological Deterioration and Prognosis of Aneurysmal Subarachnoid Hemorrhage: An Observational, Longitudinal Cohort Study. Neurol Ther 2024; 13:475-495. [PMID: 38367176 PMCID: PMC10951157 DOI: 10.1007/s40120-024-00585-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 01/25/2024] [Indexed: 02/19/2024] Open
Abstract
INTRODUCTION No evidence has established a direct causal relationship between early microcirculation disturbance after aneurysmal subarachnoid hemorrhage (aSAH) and neurological function prognosis, which is the key pathophysiological mechanism of early brain injury (EBI) in patients with aSAH. METHODS A total of 252 patients with aSAH were enrolled in the Neurosurgical Intensive Care Unit of Southwest Hospital between January 2020 and December 2022 and divided into the no neurological deterioration, early neurological deterioration, and delayed neurological deterioration groups. Indicators of microcirculation disorders in EBI included regional cerebral oxygen saturation (rSO2) measured by near-infrared spectroscopy (NIRS), brain oxygen monitoring, and other clinical parameters for evaluating neurological function and determining the prognosis of patients with aSAH. RESULTS Our data suggest that the rSO2 is generally lower in patients who develop neurological deterioration than in those who do not and that there is at least one time point in the population of patients who develop neurological deterioration where left and right cerebral hemisphere differences can be significantly monitored by NIRS. An unordered multiple-classification logistic regression model was constructed, and the results revealed that multiple factors were effective predictors of early neurological deterioration: reoperation, history of brain surgery, World Federation of Neurosurgical Societies (WFNS) grade 4-5, Fisher grade 3-4, SAFIRE grade 3-5, abnormal serum sodium and potassium levels, and reduced rSO2 during the perioperative period. However, for delayed neurological deterioration in patients with aSAH, only a history of brain surgery and perioperative RBC count were predictive indicators. CONCLUSIONS The rSO2 concentration in patients with neurological deterioration is generally lower than that in patients without neurological deterioration, and at least one time point in the population with neurological deterioration can be significantly monitored via NIRS. However, further studies are needed to determine the role of microcirculation and other predictive factors in the neurocritical management of EBI after aSAH, as these factors can reduce the incidence of adverse outcomes and mortality during hospitalization.
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Affiliation(s)
- Shunyan Yang
- School of Nursing, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, Guizhou Province, China
- Neurosurgical Intensive Care Unit, Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
- Chongqing Clinical Research Center for Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
- Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Binbin Tan
- Neurosurgical Intensive Care Unit, Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
- Chongqing Clinical Research Center for Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
- Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Jie Lin
- Neurosurgical Intensive Care Unit, Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
- Chongqing Clinical Research Center for Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
- Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
- Department of Neurosurgery, The 943 Hospital of Joint Logistics Support Force of PLA, Wuwei, 733099, Gansu Province, China
| | - Xia Wang
- Neurosurgical Intensive Care Unit, Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
- Chongqing Clinical Research Center for Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
- Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Congying Fu
- School of Nursing, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, Guizhou Province, China
| | - Kaishan Wang
- Neurosurgical Intensive Care Unit, Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
- Chongqing Clinical Research Center for Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
- Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Jinyu Qian
- Neurosurgical Intensive Care Unit, Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
- Chongqing Clinical Research Center for Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
- Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Jin Liu
- Neurosurgical Intensive Care Unit, Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
- Chongqing Clinical Research Center for Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
- Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Jishu Xian
- Neurosurgical Intensive Care Unit, Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
- Chongqing Clinical Research Center for Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
- Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Liang Tan
- Neurosurgical Intensive Care Unit, Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
- Chongqing Clinical Research Center for Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
- Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Hua Feng
- Neurosurgical Intensive Care Unit, Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China
- Chongqing Clinical Research Center for Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
- Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China
| | - Yujie Chen
- Neurosurgical Intensive Care Unit, Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
- Chongqing Clinical Research Center for Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
- Chongqing Key Laboratory of Precision Neuromedicine and Neuroregenaration, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
| | - Lihua Wang
- Hospital Administration Office, Southwest Hospital, Third Military Medical University (Army Medical University), 29 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
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Gao L, Chang Y, Lu S, Liu X, Yao X, Zhang W, Sun E. A nomogram for predicting the necessity of tracheostomy after severe acute brain injury in patients within the neurosurgery intensive care unit: A retrospective cohort study. Heliyon 2024; 10:e27416. [PMID: 38509924 PMCID: PMC10951500 DOI: 10.1016/j.heliyon.2024.e27416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 02/15/2024] [Accepted: 02/28/2024] [Indexed: 03/22/2024] Open
Abstract
Objective This retrospective study was aimed to develop a predictive model for assessing the necessity of tracheostomy (TT) in patients admitted to the neurosurgery intensive care unit (NSICU). Method We analyzed data from 1626 NSICU patients with severe acute brain injury (SABI) who were admitted to the Department of NSICU at the Affiliated People's Hospital of Jiangsu University between January 2021 and December 2022. Data of the patients were retrospectively obtained from the clinical research data platform. The patients were randomly divided into training (70%) and testing (30%) cohorts. The least absolute shrinkage and selection operator (LASSO) regression identified the optimal predictive features. A multivariate logistic regression model was then constructed and represented by a nomogram. The efficacy of the model was evaluated based on discrimination, calibration, and clinical utility. Results The model highlighted six predictive variables, including the duration of NSICU stay, neurosurgery, orotracheal intubation time, Glasgow Coma Scale (GCS) score, systolic pressure, and respiration rate. Receiver operating characteristic (ROC) analysis of the nomogram yielded area under the curve (AUC) values of 0.854 (95% confidence interval [CI]: 0.822-0.886) for the training cohort and 0.865 (95% CI: 0.817-0.913) for the testing cohort, suggesting commendable differential performance. The predictions closely aligned with actual observations in both cohorts. Decision curve analysis demonstrated that the numerical model offered a favorable net clinical benefit. Conclusion We developed a novel predictive model to identify risk factors for TT in SABI patients within the NSICU. This model holds the potential to assist clinicians in making timely surgical decisions concerning TT.
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Affiliation(s)
- Liqin Gao
- Department of Neurosurgical Intensive Care Unit, Affiliated People's Hospital of Jiangsu University, ZhenJiang, Jiangsu Province, 212002, China
| | - Yafen Chang
- Department of Neurosurgical Intensive Care Unit, Affiliated People's Hospital of Jiangsu University, ZhenJiang, Jiangsu Province, 212002, China
| | - Siyuan Lu
- Department of Radiology, Affiliated People's Hospital of Jiangsu University, ZhenJiang, Jiangsu Province, 212002, China
| | - Xiyang Liu
- Jiangsu University, ZhenJiang, Jiangsu Province, 212002, China
| | - Xiang Yao
- Department of Orthopaedics, Affiliated People's Hospital of Jiangsu University, ZhenJiang, Jiangsu Province, 212002, China
| | - Wei Zhang
- Jiangsu University, ZhenJiang, Jiangsu Province, 212002, China
| | - Eryi Sun
- Department of Neurosurgery, Affiliated People's Hospital of Jiangsu University, ZhenJiang, Jiangsu Province, 212002, China
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Shu L, Yan H, Wu Y, Yan T, Yang L, Zhang S, Chen Z, Liao Q, Yang L, Xiao B, Ye M, Lv S, Wu M, Zhu X, Hu P. Explainable machine learning in outcome prediction of high-grade aneurysmal subarachnoid hemorrhage. Aging (Albany NY) 2024; 16:4654-4669. [PMID: 38431285 PMCID: PMC10968679 DOI: 10.18632/aging.205621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 01/29/2024] [Indexed: 03/05/2024]
Abstract
OBJECTIVE Accurate prognostic prediction in patients with high-grade aneruysmal subarachnoid hemorrhage (aSAH) is essential for personalized treatment. In this study, we developed an interpretable prognostic machine learning model for high-grade aSAH patients using SHapley Additive exPlanations (SHAP). METHODS A prospective registry cohort of high-grade aSAH patients was collected in one single-center hospital. The endpoint in our study is a 12-month follow-up outcome. The dataset was divided into training and validation sets in a 7:3 ratio. Machine learning algorithms, including Logistic regression model (LR), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost), were employed to develop a prognostic prediction model for high-grade aSAH. The optimal model was selected for SHAP analysis. RESULTS Among the 421 patients, 204 (48.5%) exhibited poor prognosis. The RF model demonstrated superior performance compared to LR (AUC = 0.850, 95% CI: 0.783-0.918), SVM (AUC = 0.862, 95% CI: 0.799-0.926), and XGBoost (AUC = 0.850, 95% CI: 0.783-0.917) with an AUC of 0.867 (95% CI: 0.806-0 .929). Primary prognostic features identified through SHAP analysis included higher World Federation of Neurosurgical Societies (WFNS) grade, higher modified Fisher score (mFS) and advanced age, were found to be associated with 12-month unfavorable outcome, while the treatment of coiling embolization for aSAH drove the prediction towards favorable prognosis. Additionally, the SHAP force plot visualized individual prognosis predictions. CONCLUSIONS This study demonstrated the potential of machine learning techniques in prognostic prediction for high-grade aSAH patients. The features identified through SHAP analysis enhance model interpretability and provide guidance for clinical decision-making.
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Affiliation(s)
- Lei Shu
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China
- Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang 330006, Jiangxi, China
- Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang 330006, Jiangxi, China
- Institute of Neuroscience, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Hua Yan
- Department of Emergency, Affiliated Hospital of Panzhihua University, Panzhihua 617000, Sichuan, China
| | - Yanze Wu
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China
- Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang 330006, Jiangxi, China
- Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang 330006, Jiangxi, China
- Institute of Neuroscience, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Tengfeng Yan
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China
- Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang 330006, Jiangxi, China
- Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang 330006, Jiangxi, China
- Institute of Neuroscience, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Li Yang
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China
- Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang 330006, Jiangxi, China
- Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang 330006, Jiangxi, China
- Institute of Neuroscience, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Si Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China
- Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang 330006, Jiangxi, China
- Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang 330006, Jiangxi, China
- Institute of Neuroscience, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Zhihao Chen
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China
- Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang 330006, Jiangxi, China
- Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang 330006, Jiangxi, China
- Institute of Neuroscience, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Qiuye Liao
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China
- Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang 330006, Jiangxi, China
- Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang 330006, Jiangxi, China
- Institute of Neuroscience, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Lu Yang
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China
- Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang 330006, Jiangxi, China
- Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang 330006, Jiangxi, China
- Institute of Neuroscience, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Bing Xiao
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Minhua Ye
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Shigang Lv
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Miaojing Wu
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Xingen Zhu
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China
- Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang 330006, Jiangxi, China
- Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang 330006, Jiangxi, China
- Institute of Neuroscience, Nanchang University, Nanchang 330006, Jiangxi, China
| | - Ping Hu
- Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi, China
- Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases, Nanchang 330006, Jiangxi, China
- Jiangxi Health Commission Key Laboratory of Neurological Medicine, Nanchang 330006, Jiangxi, China
- Institute of Neuroscience, Nanchang University, Nanchang 330006, Jiangxi, China
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Lee KS, Siow I, Yang LW, Foo AS, Zhang JJ, Mathews I, Goh CP, Teo C, Nagarjun B, Chen V, Lwin S, Teo K, Low SW, Sun IS, Pang BC, Yang EW, Yang C, Gopinathan A, Yeo TT, Nga VD. Endovascular coiling versus neurosurgical clipping in the management of aneurysmal subarachnoid haemorrhage in the elderly: a multicenter cohort study. Neurosurg Rev 2024; 47:100. [PMID: 38427140 PMCID: PMC10907408 DOI: 10.1007/s10143-024-02325-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/01/2024] [Accepted: 02/16/2024] [Indexed: 03/02/2024]
Abstract
The comparability of endovascular coiling over neurosurgical clipping has not been firmly established in elderly patients with aneurysmal subarachnoid haemorrhage (aSAH). Data were obtained from all patients with aSAH aged ≥60 across three tertiary hospitals in Singapore from 2014 to 2019. Outcome measures included modified Rankin Scale (mRS) score at 3 and at 6 months, and in-hospital mortality. Of the 134 patients analyzed, 84 (62.7%) underwent coiling and 50 (37.3%) underwent clipping. The endovascular group showed a higher incidence of good mRS score 0-2 at 3 months (OR = 2.45 [95%CI:1.16-5.20];p = 0.018), and a lower incidence of in-hospital mortality (OR = 0.31 [95%CI:0.10-0.91];p = 0.026). There were no significant difference between the two treatment groups in terms of good mRS score at 6 months (OR = 1.98 [95%CI:0.97-4.04];p = 0.060). There were no significant differences in the incidence of complications, such as aneurysm rebleed, delayed hydrocephalus, delayed ischemic neurological deficit and venous thromboembolism between the two treatment groups. However, fewer patients in the coiling group developed large infarcts requiring decompressive craniectomy (OR = 0.32 [95%CI:0.12-0.90];p = 0.025). Age, admission WFNS score I-III, and coiling were independent predictors of good functional outcomes at 3 months. Only age and admission WFNS score I-III remained significant predictors of good functional outcomes at 6 months. Endovascular coiling, compared with neurosurgical clipping, is associated with significantly better short term outcomes in carefully selected elderly patients with aSAH. Maximal intervention is recommended for aSAH in the young elderly age group and those with favorable WFNS scores.
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Affiliation(s)
- Keng Siang Lee
- Division of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore.
- Department of Neurosurgery, King's College Hospital, London, UK.
- Department of Basic and Clinical Neurosciences, Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK.
| | - Isabel Siow
- Department of Neurology, National Neuroscience Institute (Singapore General Hospital Campus), Singapore, Singapore
| | - Lily Wy Yang
- Ministry of Health Holdings, Singapore, Singapore
| | - Aaron Sc Foo
- Division of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore
| | - John Jy Zhang
- Division of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore
| | - Ian Mathews
- Emergency Medicine Department, National University Hospital, Singapore, Singapore
| | - Chun Peng Goh
- Division of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore
| | - Colin Teo
- Division of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore
| | - Bolem Nagarjun
- Division of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore
| | - Vanessa Chen
- Division of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore
| | - Sein Lwin
- Division of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore
| | - Kejia Teo
- Division of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore
| | - Shiong Wen Low
- Division of Neurosurgery, Ng Teng Fong General Hospital, National University Health System, Singapore, Singapore
| | - Ira Sy Sun
- Division of Neurosurgery, Ng Teng Fong General Hospital, National University Health System, Singapore, Singapore
| | - Boon Chuan Pang
- Department of Neurosurgery, Khoo Teck Puat Hospital, Alexandra Health Private Limited, National University Health System, Singapore, Singapore
| | - Eugene Wr Yang
- Department of Neurosurgery, Khoo Teck Puat Hospital, Alexandra Health Private Limited, National University Health System, Singapore, Singapore
| | - Cunli Yang
- Division of Interventional Radiology, Department of Diagnostic Imaging, National University Health System, Singapore, Singapore
| | - Anil Gopinathan
- Division of Interventional Radiology, Department of Diagnostic Imaging, National University Health System, Singapore, Singapore
| | - Tseng Tsai Yeo
- Division of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore
| | - Vincent Dw Nga
- Division of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore
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5
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Roethlisberger M, Aghlmandi S, Rychen J, Chiappini A, Zumofen DW, Bawarjan S, Stienen MN, Fung C, D'Alonzo D, Maldaner N, Steinsiepe VK, Corniola MV, Goldberg J, Cianfoni A, Robert T, Maduri R, Saliou G, Starnoni D, Weber J, Seule MA, Gralla J, Bervini D, Kulcsar Z, Burkhardt JK, Bozinov O, Remonda L, Marbacher S, Lövblad KO, Psychogios M, Bucher HC, Mariani L, Bijlenga P, Blackham KA, Guzman R. Impact of Very Small Aneurysm Size and Anterior Communicating Segment Location on Outcome after Aneurysmal Subarachnoid Hemorrhage. Neurosurgery 2023; 92:370-381. [PMID: 36469672 DOI: 10.1227/neu.0000000000002212] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 08/31/2022] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Very small anterior communicating artery aneurysms (vsACoA) of <5 mm in size are detected in a considerable number of patients with aneurysmal subarachnoid hemorrhage (aSAH). Single-center studies report that vsACoA harbor particular risks when treated. OBJECTIVE To assess the clinical and radiological outcome(s) of patients with aSAH diagnosed with vsACoA after aneurysm treatment and at discharge. METHODS Information on n = 1868 patients was collected in the Swiss Subarachnoid Hemorrhage Outcome Study registry between 2009 and 2014. The presence of a new focal neurological deficit at discharge, functional status (modified Rankin scale), mortality rates, and procedural complications (in-hospital rebleeding and presence of a new stroke on computed tomography) was assessed for vsACoA and compared with the results observed for aneurysms in other locations and with diameters of 5 to 25 mm. RESULTS This study analyzed n = 1258 patients with aSAH, n = 439 of which had a documented ruptured ACoA. ACoA location was found in 38% (n = 144/384) of all very small ruptured aneurysms. A higher in-hospital bleeding rate was found in vsACoA compared with non-ACoA locations (2.8 vs 2.1%), especially when endovascularly treated (2.1% vs 0.5%). In multivariate analysis, aneurysm size of 5 to 25 mm, and not ACoA location, was an independent risk factor for a new focal neurological deficit and a higher modified Rankin scale at discharge. Neither very small aneurysm size nor ACoA location was associated with higher mortality rates at discharge or the occurrence of a peri-interventional stroke. CONCLUSION Very small ruptured ACoA have a higher in-hospital rebleeding rate but are not associated with worse morbidity or mortality.
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Affiliation(s)
- Michel Roethlisberger
- Departments of Neurosurgery and Interventional Neuroradiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Soheila Aghlmandi
- Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jonathan Rychen
- Departments of Neurosurgery and Interventional Neuroradiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Alessio Chiappini
- Departments of Neurosurgery and Interventional Neuroradiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Daniel W Zumofen
- Department of Neurological Surgery, Maimonides Medical Center, New York, USA
| | - Schatlo Bawarjan
- Department of Neurosurgery, University Hospital of Göttingen, Göttingen, Germany
| | - Martin N Stienen
- Department of Neurosurgery and Department of Neuroradiology, University Hospital of Zurich, Zurich, Switzerland.,Departments of Neurosurgery and Neuroradiology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Christian Fung
- Department of Neurosurgery, University Hospital of Freiburg, Freiburg Germany.,Departments of Neurosurgery and Neuroradiology, University Hospital of Bern, Bern Switzerland
| | - Donato D'Alonzo
- Departments of Neurosurgery and Neuroradiology, Kantonsspital Aarau, Aarau, Switzerland
| | - Nicolai Maldaner
- Department of Neurosurgery and Department of Neuroradiology, University Hospital of Zurich, Zurich, Switzerland
| | - Valentin K Steinsiepe
- Departments of Neurosurgery and Neuroradiology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Marco V Corniola
- Departments of Neurosurgery and Neuroradiology, University Hospital of Geneva, Geneva Switzerland
| | - Johannes Goldberg
- Departments of Neurosurgery and Neuroradiology, University Hospital of Bern, Bern Switzerland
| | - Alessandro Cianfoni
- Departments of Neurosurgery and Neuroradiology, Neurocenter of Southern Switzerland, Ospedale regionale, Lugano, Switzerland
| | - Thomas Robert
- Departments of Neurosurgery and Neuroradiology, Neurocenter of Southern Switzerland, Ospedale regionale, Lugano, Switzerland
| | - Rodolfo Maduri
- Clinique de Genolier, Swiss Medical Network, Genolier, Switzerland
| | - Guillaume Saliou
- Departments of Neurosurgery and Neuroradiology, University Hospital of Lausanne, Switzerland
| | - Daniele Starnoni
- Departments of Neurosurgery and Neuroradiology, University Hospital of Lausanne, Switzerland
| | - Johannes Weber
- Departments of Neurosurgery and Neuroradiology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Martin A Seule
- Departments of Neurosurgery and Neuroradiology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Jan Gralla
- Departments of Neurosurgery and Neuroradiology, University Hospital of Bern, Bern Switzerland
| | - David Bervini
- Departments of Neurosurgery and Neuroradiology, University Hospital of Bern, Bern Switzerland
| | - Zsolt Kulcsar
- Department of Neurosurgery and Department of Neuroradiology, University Hospital of Zurich, Zurich, Switzerland
| | - Jan-Karl Burkhardt
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Oliver Bozinov
- Department of Neurosurgery and Department of Neuroradiology, University Hospital of Zurich, Zurich, Switzerland.,Departments of Neurosurgery and Neuroradiology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Luca Remonda
- Departments of Neurosurgery and Neuroradiology, Kantonsspital Aarau, Aarau, Switzerland
| | - Serge Marbacher
- Departments of Neurosurgery and Neuroradiology, Kantonsspital Aarau, Aarau, Switzerland
| | - Karl-Olof Lövblad
- Departments of Neurosurgery and Neuroradiology, University Hospital of Geneva, Geneva Switzerland
| | - Marios Psychogios
- Departments of Neurosurgery and Interventional Neuroradiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Heiner C Bucher
- Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Luigi Mariani
- Departments of Neurosurgery and Interventional Neuroradiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Philippe Bijlenga
- Departments of Neurosurgery and Neuroradiology, University Hospital of Geneva, Geneva Switzerland
| | - Kristine A Blackham
- Departments of Neurosurgery and Interventional Neuroradiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Raphael Guzman
- Departments of Neurosurgery and Interventional Neuroradiology, University Hospital Basel, University of Basel, Basel, Switzerland
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Lu W, Tong Y, Zhang C, Xiang L, Xiang L, Chen C, Guo L, Shan Y, Li X, Zhao Z, Pan X, Zhao Z, Zou J. A novel visual dynamic nomogram to online predict the risk of unfavorable outcome in elderly aSAH patients after endovascular coiling: A retrospective study. Front Neurosci 2023; 16:1037895. [PMID: 36704009 PMCID: PMC9871773 DOI: 10.3389/fnins.2022.1037895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 12/22/2022] [Indexed: 01/12/2023] Open
Abstract
Background Aneurysmal subarachnoid hemorrhage (aSAH) is a significant cause of morbidity and mortality throughout the world. Dynamic nomogram to predict the prognosis of elderly aSAH patients after endovascular coiling has not been reported. Thus, we aimed to develop a clinically useful dynamic nomogram to predict the risk of 6-month unfavorable outcome in elderly aSAH patients after endovascular coiling. Methods We conducted a retrospective study including 209 elderly patients admitted to the People's Hospital of Hunan Province for aSAH from January 2016 to June 2021. The main outcome measure was 6-month unfavorable outcome (mRS ≥ 3). We used multivariable logistic regression analysis and forwarded stepwise regression to select variables to generate the nomogram. We assessed the discriminative performance using the area under the curve (AUC) of receiver-operating characteristic and the risk prediction model's calibration using the Hosmer-Lemeshow goodness-of-fit test. The decision curve analysis (DCA) and the clinical impact curve (CIC) were used to measure the clinical utility of the nomogram. Results The cohort's median age was 70 (interquartile range: 68-74) years and 133 (36.4%) had unfavorable outcomes. Age, using a ventilator, white blood cell count, and complicated with cerebral infarction were predictors of 6-month unfavorable outcome. The AUC of the nomogram was 0.882 and the Hosmer-Lemeshow goodness-of-fit test showed good calibration of the nomogram (p = 0.3717). Besides, the excellent clinical utility and applicability of the nomogram had been indicated by DCA and CIC. The eventual value of unfavorable outcome risk could be calculated through the dynamic nomogram. Conclusion This study is the first visual dynamic online nomogram that accurately predicts the risk of 6-month unfavorable outcome in elderly aSAH patients after endovascular coiling. Clinicians can effectively improve interventions by taking targeted interventions based on the scores of different items on the nomogram for each variable.
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Affiliation(s)
- Wei Lu
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China,Department of Pharmacy, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - YuLan Tong
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China,Department of Pharmacy, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Cheng Zhang
- Department of Neurology, The First Affiliated Hospital (People’s Hospital of Hunan Province), Hunan Normal University, Changsha, China
| | - Lan Xiang
- Department of Neurology, The First Affiliated Hospital (People’s Hospital of Hunan Province), Hunan Normal University, Changsha, China
| | - Liang Xiang
- Department of Neurology, The First Affiliated Hospital (People’s Hospital of Hunan Province), Hunan Normal University, Changsha, China
| | - Chen Chen
- Department of Pharmacy, Nanjing First Hospital, Nanjing Medical University, Nanjing, China,Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
| | - LeHeng Guo
- Department of Neurology, The First Affiliated Hospital (People’s Hospital of Hunan Province), Hunan Normal University, Changsha, China
| | - YaJie Shan
- Department of Neurology, The First Affiliated Hospital (People’s Hospital of Hunan Province), Hunan Normal University, Changsha, China
| | - XueMei Li
- Department of Neurology, The First Affiliated Hospital (People’s Hospital of Hunan Province), Hunan Normal University, Changsha, China
| | - Zheng Zhao
- Department of Pharmacy, Nanjing First Hospital, Nanjing Medical University, Nanjing, China,Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
| | - XiDing Pan
- Department of Pharmacy, Nanjing First Hospital, Nanjing Medical University, Nanjing, China,Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China,XiDing Pan,
| | - ZhiHong Zhao
- Department of Neurology, The First Affiliated Hospital (People’s Hospital of Hunan Province), Hunan Normal University, Changsha, China,ZhiHong Zhao,
| | - JianJun Zou
- Department of Pharmacy, Nanjing First Hospital, Nanjing Medical University, Nanjing, China,Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China,*Correspondence: JianJun Zou,
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7
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Maimaiti A, Turhon M, Cheng X, Su R, Kadeer K, Axier A, Ailaiti D, Aili Y, Abudusalamu R, Kuerban A, Wang Z, Aisha M. m6A regulator–mediated RNA methylation modification patterns and immune microenvironment infiltration characterization in patients with intracranial aneurysms. Front Neurol 2022; 13:889141. [PMID: 35989938 PMCID: PMC9389407 DOI: 10.3389/fneur.2022.889141] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 06/23/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe role of epigenetic modulation in immunity is receiving increased recognition—particularly in the context of RNA N6-methyladenosine (m6A) modifications. Nevertheless, it is still uncertain whether m6A methylation plays a role in the onset and progression of intracranial aneurysms (IAs). This study aimed to establish the function of m6A RNA methylation in IA, as well as its correlation with the immunological microenvironment.MethodsOur study included a total of 97 samples (64 IA, 33 normal) in the training set and 60 samples (44 IA, 16 normal) in the validation set to systematically assess the pattern of RNA modifications mediated by 22 m6A regulators. The effects of m6A modifications on immune microenvironment features, i.e., immune response gene sets, human leukocyte antigen (HLA) genes, and infiltrating immune cells were explored. We employed Lasso, machine learning, and logistic regression for the purpose of identifying an m6A regulator gene signature of IA with external data validation. For the unsupervised clustering analysis of m6A modification patterns in IA, consensus clustering methods were employed. Enrichment analysis was used to assess immune response activity along with other functional pathways. The identification of m6A methylation markers was identified based on a protein–protein interaction network and weighted gene co-expression network analysis.ResultsWe identified an m6A regulator signature of IGFBP2, IGFBP1, IGF2BP2, YTHDF3, ALKBH5, RBM15B, LRPPRC, and ELAVL1, which could easily distinguish individuals with IA from healthy individuals. Unsupervised clustering revealed three m6A modification patterns. Gene enrichment analysis illustrated that the tight junction, p53 pathway, and NOTCH signaling pathway varied significantly in m6A modifier patterns. In addition, the three m6A modification patterns showed significant differences in m6A regulator expression, immune microenvironment, and bio-functional pathways. Furthermore, macrophages, activated T cells, and other immune cells were strongly correlated with m6A regulators. Eight m6A indicators were discovered—each with a statistically significant correlation with IA—suggesting their potential as prognostic biological markers.ConclusionOur study demonstrates that m6A RNA methylation and the immunological microenvironment are both intricately correlated with the onset and progression of IA. The novel insight into patterns of m6A modification offers a foundation for the development of innovative treatment approaches for IA.
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Affiliation(s)
- Aierpati Maimaiti
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Mirzat Turhon
- Department of Neurointerventional Surgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Department of Neurointerventional Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaojiang Cheng
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Riqing Su
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Kaheerman Kadeer
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Aximujiang Axier
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Dilimulati Ailaiti
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yirizhati Aili
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Rena Abudusalamu
- Department of Neurology, Neurology Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Ajimu Kuerban
- Department of Neurosurgery, The First People's Hospital of Kashgar Prefecture, Kashgar, China
| | - Zengliang Wang
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- Zengliang Wang
| | - Maimaitili Aisha
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
- *Correspondence: Maimaitili Aisha
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8
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Ikegami M, Kamide T, Ooigawa H, Take Y, Teranishi A, Suzuki K, Kohyama S, Kurita H. Clinical features of ruptured very small intracranial aneurysms (< 3 mm) in patients with subarachnoid hemorrhage. World Neurosurg 2022; 164:e1087-e1093. [DOI: 10.1016/j.wneu.2022.05.108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 05/21/2022] [Accepted: 05/23/2022] [Indexed: 11/26/2022]
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9
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Chen XY, Chen Y, Lin N, Chen JY, Ding CY, Kang DZ, Wang DL, Fang WH. A Nomogram for Predicting the Need of Postoperative Tracheostomy in Patients With Aneurysmal Subarachnoid Hemorrhage. Front Neurol 2021; 12:711468. [PMID: 34512523 PMCID: PMC8429806 DOI: 10.3389/fneur.2021.711468] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 07/27/2021] [Indexed: 01/22/2023] Open
Abstract
Objective: Early identification for the need of tracheostomy (TT) in aneurysmal subarachnoid hemorrhage (aSAH) patients remains one of the main challenges in clinical practice. Our study aimed to establish and validate a nomogram model for predicting postoperative TT in aSAH patients. Methods: Patients with aSAH receiving active treatment (interventional embolization or clipping) in our institution between June 2012 and December 2018 were retrospectively included. The effects of patients' baseline information, aneurysm features, and surgical factors on the occurrence of postoperative TT were investigated for establishing a nomogram in the training cohort with 393 patients. External validation for the nomogram was performed in the validation cohort with 242 patients. Results: After multivariate analysis, higher age, high neutrophil-to-lymphocyte ratio (NLR), high World Federation of Neurological Surgeons Scale (WFNS), and high Barrow Neurological Institute (BNI) grade were left in the final logistic regression model. The predictive power of the model was excellent in both training cohort and validation cohort [area under the curve (AUC): 0.924, 95% confidence interval [CI]: 0.893–0.948; AUC: 0.881, 95% CI: 0.833–0.919]. A nomogram consisting of these factors had a C-index of 0.924 (95% CI: 0.869–0.979) in the training cohort and was validated in the validation cohort (C-index: 0.881, 95% CI: 0.812–0.950). The calibration curves suggested good match between prediction and observation in both training and validation cohorts. Conclusion: Our study established and validated a nomogram model for predicting postoperative TT in aSAH patients.
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Affiliation(s)
- Xiao-Yong Chen
- Department of Neurosurgery, Neurosurgical Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Yue Chen
- Department of Neurosurgery, Neurosurgical Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Ni Lin
- The School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China
| | - Jin-Yuan Chen
- Department of Ophthalmology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Chen-Yu Ding
- Department of Neurosurgery, Neurosurgical Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.,Fujian Key Laboratory of Precision Medicine for Cancer, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - De-Zhi Kang
- Department of Neurosurgery, Neurosurgical Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.,Fujian Key Laboratory of Precision Medicine for Cancer, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.,Key Laboratory of Fujian Higher Education Institutions, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Deng-Liang Wang
- Department of Neurosurgery, Neurosurgical Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Wen-Hua Fang
- Department of Neurosurgery, Neurosurgical Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
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Leng W, Fan D, Ren Z, Li Q. Identification of upregulated NF-κB inhibitor alpha and IRAK3 targeting lncRNA following intracranial aneurysm rupture-induced subarachnoid hemorrhage. BMC Neurol 2021; 21:197. [PMID: 33990177 PMCID: PMC8120017 DOI: 10.1186/s12883-021-02156-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Accepted: 03/15/2021] [Indexed: 01/23/2023] Open
Abstract
Background This study was performed to identify genes and lncRNAs involved in the pathogenesis of subarachnoid hemorrhage (SAH) from ruptured intracranial aneurysm (RIA). Methods Microarray GSE36791 was downloaded from Gene Expression Omnibus (GEO) database followed by the identification of significantly different expressed RNAs (DERs, including lncRNA and mRNA) between patients with SAH and healthy individuals. Then, the functional analyses of DEmRNAs were conducted and weighted gene co-expression network analysis (WGCNA) was also performed to extract the modules associated with SAH. Following, the lncRNA-mRNA co-expression network was constructed and the gene set enrichment analysis (GSEA) was performed to screen key RNA biomarkers involved in the pathogenesis of SAH from RIA. We also verified the results in a bigger dataset GSE7337. Results Totally, 561 DERs, including 25 DElncRNAs and 536 DEmRNAs, were identified. Functional analysis revealed that the DEmRNAs were mainly associated with immune response-associated GO-BP terms and KEGG pathways. Moreover, there were 6 modules significantly positive-correlated with SAH. The lncRNA-mRNA co-expression network contained 2 lncRNAs (LINC00265 and LINC00937) and 169 mRNAs. The GSEA analysis showed that these two lncRNAs were associated with three pathways (cytokine-cytokine receptor interaction, neurotrophin signaling pathway, and apoptosis). Additionally, IRAK3 and NFKBIA involved in the neurotrophin signaling pathway and apoptosis while IL1R2, IL18RAP and IL18R1 was associated with cytokine-cytokine receptor interaction pathway. The expression levels of these genes have the same trend in GSE36791 and GSE7337. Conclusion LINC00265 and LINC00937 may be implicated with the pathogenesis of SAH from RIA. They were involved in three important regulatory pathways. 5 mRNAs played important roles in the three pathways. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-021-02156-1.
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Affiliation(s)
- Wei Leng
- Department of Neurology, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, 130021, Jilin, China
| | - Dan Fan
- Department of Neurology, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, 130021, Jilin, China
| | - Zhong Ren
- Department of Neurology, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, 130021, Jilin, China
| | - Qiaoying Li
- Department of Neurology, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, 130021, Jilin, China.
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11
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Huang L, Li X, Chen Z, Liu Y, Zhang X. Identification of inflammation‑associated circulating long non‑coding RNAs and genes in intracranial aneurysm rupture‑induced subarachnoid hemorrhage. Mol Med Rep 2020; 22:4541-4550. [PMID: 33174039 PMCID: PMC7646748 DOI: 10.3892/mmr.2020.11540] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 07/13/2020] [Indexed: 12/23/2022] Open
Abstract
Ruptured intracranial aneurysm (IA)-induced subarachnoid hemorrhage (SAH) triggers a series of immune responses and inflammation in the brain and body. The present study was conducted to identify additional circulating biomarkers that may serve as potential therapeutic targets for SAH-induced inflammation. Differentially expressed (DE) long non-coding RNAs (lncRNAs; DElncRNAs) and genes (DEGs) in the peripheral blood mononuclear cells between patients with IA rupture-induced SAH and healthy controls were identified in the GSE36791 dataset. DEGs were used for weighted gene co-expression network analysis (WGCNA), and SAH-associated WGCNA modules were identified. Subsequently, an lncRNA-mRNA regulatory network was constructed using the DEGs in SAH-associated WGCNA modules. A total of 25 DElncRNAs and 1,979 DEGs were screened from patients with IA-induced SAH in the GSE36791 dataset compared with the controls. A total of 11 WGCNA modules, including four upregulated modules significantly associated with IA rupture-induced SAH were obtained. The DEGs in the SAH-associated modules were associated with Gene Ontology biological processes such as ‘regulation of programmed cell death’, ‘apoptosis’ and ‘immune response’. The subsequent lncRNA-mRNA regulatory network included seven upregulated lncRNAs [HCG27, ZNFX1 antisense RNA 1, long intergenic non-protein coding RNA (LINC)00265, murine retrovirus integration site 1 homolog-antisense RNA 1, cytochrome P450 1B1-AS1, LINC01347 and LINC02193] and 375 DEGs. Functional enrichment analysis and screening in the Comparative Toxicogenomics Database demonstrated that SAH-associated DEGs, including neutrophil cytosolic factor (NCF)2 and NCF4, were enriched in ‘chemokine signaling pathway’ (hsa04062), ‘leukocyte transendothelial migration’ (hsa04670) and ‘Fc gamma R-mediated phagocytosis’ (hsa04666). The upregulated lncRNAs and genes, including NCF2 and NCF4, in patients with IA rupture-induced SAH indicated their respective potentials as anti-inflammatory therapeutic targets.
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Affiliation(s)
- Lifa Huang
- Department of Neurosurgery, Zhejiang Provincial Hospital of Traditional Chinese Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310006, P.R. China
| | - Xu Li
- Department of Neurosurgery, Zhejiang Provincial Hospital of Traditional Chinese Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310006, P.R. China
| | - Zupeng Chen
- Department of Neurosurgery, Zhejiang Provincial Hospital of Traditional Chinese Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310006, P.R. China
| | - Yajun Liu
- Department of Neurosurgery, Zhejiang Provincial Hospital of Traditional Chinese Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310006, P.R. China
| | - Xin Zhang
- Department of Neurosurgery, Zhejiang Provincial Hospital of Traditional Chinese Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310006, P.R. China
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12
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Huckhagel T, Klinger R, Schmidt NO, Regelsberger J, Westphal M, Czorlich P. The burden of headache following aneurysmal subarachnoid hemorrhage: a prospective single-center cross-sectional analysis. Acta Neurochir (Wien) 2020; 162:893-903. [PMID: 32016589 PMCID: PMC7066282 DOI: 10.1007/s00701-020-04235-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 01/18/2020] [Indexed: 12/17/2022]
Abstract
Background Aneurysmal subarachnoid hemorrhage (SAH) as a serious type of stroke is frequently accompanied by a so-called initial thunderclap headache. However, the occurrence of burdensome long-term headache following SAH has never been studied in detail so far. The aim of this study was to determine the prevalence and characteristics of long-term burdensome headache in good-grade SAH patients as well as its relation to health-related quality of life (HR-QOL). Methods All SAH cases treated between January 2014 and December 2016 with preserved consciousness at hospital discharge were prospectively interviewed regarding burdensome headache in 2018. Study participants were subsequently scrutinized by means of a standardized postal survey comprising validated pain and HR-QOL questionnaires. A retrospective chart review provided data on the initial treatment. Results A total of 93 out of 145 eligible SAH patients participated in the study (62 females). A total of 41% (38/93) of subjects indicated burdensome headache at follow-up (mean 32.6 ± 9.3 months). Comparison between patients with (HA+) and without long-term headache (HA-) revealed significantly younger mean age (47.9 ± 11.8 vs. 55.6 ± 10.3 years; p < .01) as well as more favorable neurological conditions (WFNS I/II: 95% vs. 75%; p = .03) in HA+ cases. The mean average headache of the HA+ group was 3.7 ± 2.3 (10-point numeric rating scale), and the mean maximum headache intensity was 5.7 ± 2.9. Pain and HR-QOL scores demonstrated profound alterations in HA+ compared to HA- patients. Conclusions Our results suggest that a considerable proportion of SAH patients suffers from burdensome headache even years after the hemorrhage. Moreover, long-term headache is associated with reduced HR-QOL in these cases. Electronic supplementary material The online version of this article (10.1007/s00701-020-04235-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Torge Huckhagel
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
| | - Regine Klinger
- Department of Anesthesiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Nils Ole Schmidt
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Jan Regelsberger
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Manfred Westphal
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Patrick Czorlich
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
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Does aneurysm side influence the infarction side and patients´ outcome after subarachnoid hemorrhage? PLoS One 2019; 14:e0224013. [PMID: 31697715 PMCID: PMC6837438 DOI: 10.1371/journal.pone.0224013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 10/03/2019] [Indexed: 11/30/2022] Open
Abstract
Background The prognostic factors and outcome of aneurysms appear to be dependent on its locations. Therefore, we compared left- and right- sided aneurysms in patients with aneurysmal subarachnoid hemorrhage (SAH) in terms of differences in outcome and prognostic factors. Methods Patients with SAH were entered into a prospectively collected database. A total of 509 patients with aneurysmal subarachnoid hemorrhage were retrospectively selected and stratified in two groups depending on side of ruptured aneurysm (right n = 284 vs. left n = 225). Midline aneurysms of the basilar and anterior communicating arteries were excluded from the analysis. Outcomes were assessed using the modified Rankin Scale (mRS; favorable (mRS 0–2) vs. unfavorable (mRS 3–6)) six months after SAH. Results We did not identify any differences in outcome depending on left- and right-sided ruptured aneurysms. In both groups, the significant negative predictive factors included clinical admission status (WFNS IV+V), Fisher 3- bleeding pattern in CT, the occurrence of delayed cerebral ischemia (DCI), early hydrocephalus and later shunt-dependence. The side of the ruptured aneurysm does not seem to influence patients´ outcome. Interestingly, the aneurysm side predicts the side of infarction, with a significant influence on patients´ outcome in case of left-sided infarctions. In addition, the in multivariate analysis side of aneurysm was an independent predictor for the side of cerebral infarctions. Conclusion The side of the ruptured aneurysms (right or left) did not influence patients’ outcome. However, the aneurysm-side predicts the side of delayed infarctions and outcome appear to be worse in patients with left-sided infarctions.
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Shen J, Shen J, Zhu K, Zhou H, Tian H, Yu G. Efficacy of Statins in Cerebral Vasospasm, Mortality, and Delayed Cerebral Ischemia in Patients with Aneurysmal Subarachnoid Hemorrhage: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. World Neurosurg 2019; 131:e65-e73. [DOI: 10.1016/j.wneu.2019.07.016] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 06/29/2019] [Accepted: 07/01/2019] [Indexed: 11/26/2022]
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15
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Starnoni D, Maduri R, Al Taha K, Bervini D, Zumofen DW, Stienen MN, Schatlo B, Fung C, Robert T, Seule MA, Burkhardt JK, Maldaner N, Rothlisberger M, Blackham KA, Marbacher S, D'Alonzo D, Remonda L, Machi P, Gralla J, Bijlenga P, Saliou G, Ballabeni P, Levivier M, Messerer M, Daniel RT. Ruptured PICA aneurysms: presentation and treatment outcomes compared to other posterior circulation aneurysms. A Swiss SOS study. Acta Neurochir (Wien) 2019; 161:1325-1334. [PMID: 31025178 DOI: 10.1007/s00701-019-03894-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 03/25/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND PURPOSE Aneurysms of the posterior inferior cerebellar artery (PICA) are relatively uncommon and evidence is sparse about patients presenting with ruptured PICA aneurysms. We performed an analysis of the Swiss SOS national registry to describe clinical presentation, treatment pattern, and neurological outcome of patients with ruptured PICA aneurysms compared with other ruptured posterior circulation (PC) aneurysms. METHODS This was a retrospective analysis of anonymized data from the Swiss SOS registry (Swiss Study on Aneurysmal Subarachnoid Hemorrhage; 2009-2014). Patients with ruptured PC aneurysms were subdivided into a PICA and non-PICA group. Clinical, radiological, and treatment-related variables were identified, and their impact on the neurological outcome was determined in terms of modified Rankin score at discharge and at 1 year of follow-up for the two groups. RESULTS Data from 1864 aneurysmal subarachnoid hemorrhage patients were reviewed. There were 264 patients with a ruptured PC aneurysm. Seventy-four PICA aneurysms represented 28% of the series; clinical and radiological characteristics at admission were comparable between the PICA and non-PICA group. Surgical treatment was accomplished in 28% of patients in the PICA group and in the 4.8% of patients in the non-PICA group. No statistically significant difference was found between the two groups in terms of complications after treatment. Hydrocephalus requiring definitive shunt was needed in 21.6% of PICA patients (p = 0.6); cranial nerve deficit was present in average a quarter of the patients in both PICA and non-PICA group with no statistical difference (p = 0.3). A more favorable outcome (66.2%) was reported in the PICA group at discharge (p < 0.05) but this difference faded over time with a similar neurological outcome at 1-year follow-up (p = 0.09) between both PICA and non-PICA group. The Kaplan-Meyer estimation showed no significant difference in the mortality rate between both groups (p = 0.08). CONCLUSIONS In the present study, patients with ruptured PICA aneurysms had a favorable neurological outcome in more than two thirds of cases, similar to patients with other ruptured PC aneurysms. Surgical treatment remains a valid option in a third of cases with ruptured PICA aneurysms.
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Affiliation(s)
- Daniele Starnoni
- Department of Clinical Neurosciences, Service of Neurosurgery, Lausanne University Hospital (CHUV), 46 rue du Bugnon, 1011, Lausanne, Switzerland
| | - Rodolfo Maduri
- Department of Clinical Neurosciences, Service of Neurosurgery, Lausanne University Hospital (CHUV), 46 rue du Bugnon, 1011, Lausanne, Switzerland.
| | - Khalid Al Taha
- Department of Clinical Neurosciences, Service of Neurosurgery, Lausanne University Hospital (CHUV), 46 rue du Bugnon, 1011, Lausanne, Switzerland
| | - David Bervini
- Department of Neurosurgery, Inselspital, University of Bern, Bern, Switzerland
| | - Daniel Walter Zumofen
- Department of Neurosurgery, Basel University Hospital, Basel, Switzerland
- Diagnostic and Interventional Neuroradiology Section, Department of Radiology, Basel University Hospital, Basel, Switzerland
| | - Martin Nikolaus Stienen
- Department of Neurosurgery, University Hospital of Zurich and Clinical Neurosciences Center, University of Zurich, Zurich, Switzerland
| | - Bawarjan Schatlo
- Department of Neurosurgery, University Hospital Göttingen, Göttingen, Germany
| | - Christian Fung
- Department of Neurosurgery, Medical Center, University of Freiburg, Freiburg, Germany
| | - Thomas Robert
- Department of Neurosurgery, Ospedale Civico di Lugano, Lugano, Switzerland
| | - Martin A Seule
- Department of Neurosurgery, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Jan-Karl Burkhardt
- Department of Neurosurgery, University Hospital of Zurich and Clinical Neurosciences Center, University of Zurich, Zurich, Switzerland
- Department of Neurosurgery, Baylor Medical Center and College of Medicine, Houston, TX, USA
| | - Nicolai Maldaner
- Department of Neurosurgery, University Hospital of Zurich and Clinical Neurosciences Center, University of Zurich, Zurich, Switzerland
| | | | - Kristine A Blackham
- Diagnostic and Interventional Neuroradiology Section, Department of Radiology, Basel University Hospital, Basel, Switzerland
| | - Serge Marbacher
- Department of Neurosurgery, Kantonsspital Aarau, Aarau, Switzerland
| | - Donato D'Alonzo
- Department of Neurosurgery, Kantonsspital Aarau, Aarau, Switzerland
| | - Luca Remonda
- Department of Radiology, Division of Diagnostic and Interventional Neuroradiology, Kantonsspital Aarau, Aarau, Switzerland
| | - Paolo Machi
- Department of Radiology, Division of Diagnostic and Interventional Neuroradiology, Geneva University Hospital (HUG), Geneva, Switzerland
| | - Jan Gralla
- Department of Radiology, Division of Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland
| | - Philippe Bijlenga
- Department of Neurosurgery, Hopitaux Universitaires Genève, Geneva, Switzerland
| | - Guillaume Saliou
- Department of Radiology, Division of Diagnostic and Interventional Neuroradiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Pierluigi Ballabeni
- Lausanne Institute for Clinical Epidemiology and Biostatistics, University Hospital Lausanne (CHUV), Lausanne, Switzerland
- University of Lausanne (UniL), Lausanne, Switzerland
| | - Marc Levivier
- Department of Clinical Neurosciences, Service of Neurosurgery, Lausanne University Hospital (CHUV), 46 rue du Bugnon, 1011, Lausanne, Switzerland
- University of Lausanne (UniL), Lausanne, Switzerland
| | - Mahmoud Messerer
- Department of Clinical Neurosciences, Service of Neurosurgery, Lausanne University Hospital (CHUV), 46 rue du Bugnon, 1011, Lausanne, Switzerland
- University of Lausanne (UniL), Lausanne, Switzerland
| | - Roy Thomas Daniel
- Department of Clinical Neurosciences, Service of Neurosurgery, Lausanne University Hospital (CHUV), 46 rue du Bugnon, 1011, Lausanne, Switzerland
- University of Lausanne (UniL), Lausanne, Switzerland
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16
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Maduri R, Starnoni D, Rocca A, Bervini D, Zumofen DW, Stienen MN, Schatlo B, Fung C, Robert T, Seule MA, Burkhardt JK, Maldaner N, Rothlisberger M, Blackham KA, Marbacher S, D’Alonzo D, Remonda L, Machi P, Gralla J, Bijlenga P, Saliou G, Ballabeni P, Levivier M, Messerer M, Daniel RT. Ruptured posterior circulation aneurysms: epidemiology, patterns of care, and outcomes from the Swiss SOS national registry. Acta Neurochir (Wien) 2019; 161:769-779. [PMID: 30680461 DOI: 10.1007/s00701-019-03812-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 01/12/2019] [Indexed: 02/08/2023]
Abstract
BACKGROUND The treatment of ruptured posterior circulation aneurysms remains challenging despite progresses in the endovascular and neurosurgical techniques. OBJECTIVE To provide epidemiological characterization of subjects presenting with ruptured posterior circulation aneurysms in Switzerland and thereby assessing the treatment patterns and neurological outcomes. METHODS This is a retrospective analysis of the Swiss SOS registry for patients with aneurysmal subarachnoid hemorrhage. Patients were divided in 3 groups (upper, lower, and middle third) according to aneurysm location. Clinical, radiological, and treatment-related variables were identified and their impact on the neurological outcome was determined. RESULTS From 2009 to 2014, we included 264 patients with ruptured posterior circulation aneurysms. Endovascular occlusion was the most common treatment in all 3 groups (72% in the upper third, 68% in the middle third, and 58.8% in the lower third). Surgical treatment was performed in 11.3%. Favorable outcome (mRS ≤ 3) was found in 56% at discharge and 65.7% at 1 year. No significant difference in the neurological outcome were found among the three groups, in terms of mRS at discharge (p = 0.20) and at 1 year (p = 0.18). High WFNS grade, high Fisher grade at presentation, and rebleeding before aneurysm occlusion (p = 0.001) were all correlated with the risk of unfavorable neurological outcome (or death) at discharge and at 1 year. CONCLUSIONS In this study, endovascular occlusion was the principal treatment, with a favorable outcome for two-thirds of patients at discharge and at long term. These results are similar to high volume neurovascular centers worldwide, reflecting the importance of centralized care at specialized neurovascular centers.
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