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Yang KC, Jin YJ, Tang LL, Gao F, Tong L. Explainable models for predicting long-term outcomes in patients with spontaneous intracerebral haemorrhage: a retrospective cohort study. Stroke Vasc Neurol 2025:svn-2024-003864. [PMID: 40000031 DOI: 10.1136/svn-2024-003864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2024] [Accepted: 02/14/2025] [Indexed: 02/27/2025] Open
Abstract
BACKGROUND AND AIM Recently, long-term outcomes in patients with spontaneous intracerebral haemorrhage (sICH) have gained increasing attention besides acute-phase characteristics. Predictive models for long-term outcomes are valuable for risk stratification and treatment strategies. This study aimed to develop and validate an explainable model for predicting long-term recurrence and all-cause death in patients with ICH, using clinical and imaging markers of cerebral small vascular diseases from MRI. METHOD We retrospectively analysed data from a prospectively collected large-scale cohort of patients with acute ICH admitted to the Neurology Department of The Second Affiliated Hospital of Zhejiang University between November 2016 and April 2023. After comprehensive variable selection using least absolute shrinkage and selection operator and stepwise Cox regression, we constructed Cox proportional hazards models to predict recurrence and all-cause death. Model performance was evaluated using the concordance index, integrated Brier score and time-dependent area under the curve. Global and local interpretability were assessed using variable importance calculated as SurvSHAP(t) and SurvLIME methods for the entire training set and individual patients, respectively. RESULTS A total of 842 eligible patients were included. Over a median follow-up of 36 months (IQR: 12-51), 86 patients (9.1%) died, and 62 patients (6.6%) experienced recurrence of ICH. The concordance indexes for the all-cause death and recurrence models were 0.841 (95% CI 0.767 to 0.913) and 0.759 (95% CI 0.651 to 0.867), respectively, with integrated Brier scores of 0.079 and 0.063. The interpretability maps highlighted age, aetiology of ICH and low haemoglobin as key predictors of long-term death, while cortical superficial siderosis and previous haemorrhage were crucial for predicting recurrence. CONCLUSIONS This model demonstrates high predictive accuracy and emphasises the crucial factors in predicting long-term outcomes of patients with sICH.
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Affiliation(s)
- Kai-Cheng Yang
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yu-Jia Jin
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Li-Li Tang
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Feng Gao
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Lusha Tong
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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Huang Q, Wu L, Song Z, Zhang Z, Kuang H, Zhu Y, Zeng C, Zhang L, Zhang H, Xu Z, Xu W, Lin J. Hematoma, Perihematomal Edema, and Total Lesion Predict Outcome in Patients With Intracerebral Hemorrhage. Brain Behav 2025; 15:e70340. [PMID: 39963958 PMCID: PMC11833451 DOI: 10.1002/brb3.70340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2024] [Revised: 12/19/2024] [Accepted: 01/27/2025] [Indexed: 02/21/2025] Open
Abstract
BACKGROUND The present study aimed to evaluate the predictive abilities of hematoma volume, perihematomal edema (PHE) volume, and total lesion (hematoma + PHE) volume for poor outcome in patients with intracerebral hemorrhage (ICH). METHODS Patients admitted to our department between January 2015 and March 2023 were retrospectively enrolled according to the inclusion criteria and exclusion criteria. Demographic characteristics, clinical information, laboratory examinations, and imaging data were collected. RESULTS We included 510 patients with initial computerized tomography (CT) scan (342 [67.1%] male, median age = 62 years); 142 patients had CT scans at admission and 72 h post ICH, and 350 patients had CT scans at admission and 5-9 days after onset. Multivariate logistic regression analysis revealed that absolute hematoma, absolute PHE, and absolute total lesion at admission; absolute hematoma and absolute total lesion at 72 h after onset; absolute hematoma, absolute PHE, and absolute total lesion at 5-9 days post ICH were independently related to poor outcome (p < 0.05). Furthermore, receiver operating characteristic curves demonstrated that the total volume of hematoma and PHE at 5-9 days post ICH was a better indicator to predict poor outcome, compared to other risk factors in patients with ICH (area under curve = 0.778, 95%CI: 0.729-0.826). CONCLUSION The total volume of hematoma and PHE at 5-9 days after onset had the highest ability in predicting poor outcome in patients with ICH.
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Affiliation(s)
- Qin Huang
- Department of Neurology, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Institute of Neurology, Jiangxi Academy of Clinical Medical Science, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Rare Disease Center, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Key Laboratory of Rare Neurological Diseases of Jiangxi Provincial Health Commission, Jiangxi Medical CollegeNanchang UniversityNanchangChina
| | - Lin Wu
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
| | - Ziwei Song
- Department of Neurology, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Institute of Neurology, Jiangxi Academy of Clinical Medical Science, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Rare Disease Center, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Key Laboratory of Rare Neurological Diseases of Jiangxi Provincial Health Commission, Jiangxi Medical CollegeNanchang UniversityNanchangChina
| | - Zhi Zhang
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
| | - Hongla Kuang
- Department of Neurology, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Institute of Neurology, Jiangxi Academy of Clinical Medical Science, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Rare Disease Center, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Key Laboratory of Rare Neurological Diseases of Jiangxi Provincial Health Commission, Jiangxi Medical CollegeNanchang UniversityNanchangChina
| | - Yuping Zhu
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
| | - Chenying Zeng
- Department of Neurology, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Institute of Neurology, Jiangxi Academy of Clinical Medical Science, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Rare Disease Center, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Key Laboratory of Rare Neurological Diseases of Jiangxi Provincial Health Commission, Jiangxi Medical CollegeNanchang UniversityNanchangChina
| | - Lanjiao Zhang
- Department of Neurology, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Institute of Neurology, Jiangxi Academy of Clinical Medical Science, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Rare Disease Center, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Key Laboratory of Rare Neurological Diseases of Jiangxi Provincial Health Commission, Jiangxi Medical CollegeNanchang UniversityNanchangChina
| | - Hudie Zhang
- Department of Neurology, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Institute of Neurology, Jiangxi Academy of Clinical Medical Science, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Rare Disease Center, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Key Laboratory of Rare Neurological Diseases of Jiangxi Provincial Health Commission, Jiangxi Medical CollegeNanchang UniversityNanchangChina
| | - Zubing Xu
- Department of Neurology, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Institute of Neurology, Jiangxi Academy of Clinical Medical Science, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Rare Disease Center, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Key Laboratory of Rare Neurological Diseases of Jiangxi Provincial Health Commission, Jiangxi Medical CollegeNanchang UniversityNanchangChina
| | - Wenyuan Xu
- Department of Neurology, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Institute of Neurology, Jiangxi Academy of Clinical Medical Science, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Rare Disease Center, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Key Laboratory of Rare Neurological Diseases of Jiangxi Provincial Health Commission, Jiangxi Medical CollegeNanchang UniversityNanchangChina
| | - Jing Lin
- Department of Neurology, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Institute of Neurology, Jiangxi Academy of Clinical Medical Science, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Rare Disease Center, The First Affiliated Hospital, Jiangxi Medical CollegeNanchang UniversityNanchangChina
- Key Laboratory of Rare Neurological Diseases of Jiangxi Provincial Health Commission, Jiangxi Medical CollegeNanchang UniversityNanchangChina
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Samarasekera N, Ferguson K, Parry-Jones AR, Rodrigues M, Loan J, Moullaali TJ, Hughes J, Shoveller L, Wardlaw J, McColl B, Allan SM, Selim M, Norrie J, Smith C, Al-Shahi Salman R. Perihaematomal Oedema Evolution over 2 Weeks after Spontaneous Intracerebral Haemorrhage and Association with Outcome: A Prospective Cohort Study. Cerebrovasc Dis 2024:1-10. [PMID: 38952101 DOI: 10.1159/000540099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 06/21/2024] [Indexed: 07/03/2024] Open
Abstract
INTRODUCTION We know little about the evolution of perihaematomal oedema (PHO) >24 h after ICH onset. We aimed to determine the trajectory of PHO after ICH onset and its association with outcome. METHODS We did a prospective cohort study using a pre-specified scanning protocol in adults with first-ever spontaneous ICH and measured absolute PHO volumes on CT head scans at ICH diagnosis and 3 ± 2, 7 ± 2, and 14 ± 2 days after ICH onset. We used the largest ICH if ICHs were multiple. The primary outcomes were (a) the trajectory of PHO after ICH onset and (b) the association between PHO (absolute volume at the time when most repeat CT head scans were obtained, and change in PHO volume at this time compared with the first CT head scan) and poor functional outcome (modified Rankin scale 3-6 at 90 days). We pre-specified multivariable logistic regression models of this association adjusting analyses for potential confounders: age, GCS, infratentorial ICH location, and intraventricular extension. RESULTS In 106 participants of whom 49 (46%) were female, with a median ICH volume 7 mL (interquartile range [IQR] 2-22 mL), the trajectory of median PHO volume increased from 14 mL (IQR: 7-26 mL) at diagnosis to 18 mL (IQR: 8-40 mL) at 3 ± 2 days (n = 87), 20 mL (IQR: 8-48 mL) at 7 ± 2 days (n = 93) and 21 mL (IQR: 10-54 mL) at 14 ± 2 days (n = 78) (p = <0.001). PHO volume at each time point was collinear with ICH volume at diagnosis (│r│ >0.7), but the change in PHO volume between diagnosis and each time point was not. Given collinearity, we used total lesion (i.e., ICH + PHO) volume instead of PHO volume in a logistic regression model of its association at each time point with outcome. Increasing total lesion (ICH + PHO) volume at day 7 ± 2 was associated with poor functional outcome (adjusted OR per mL 1.02, 95% CI: 1.00-1.03; p = 0.036), but the increase in PHO volume between diagnosis and day 7 ± 2 was not associated with poor functional outcome (adjusted OR per mL 1.03, 95% CI: 0.99-1.07; p = 0.132). CONCLUSION PHO volume increases throughout the first 2 weeks after onset of mild to moderate ICH. Total lesion (ICH + PHO) volume at day 7 ± 2 was associated with poor functional outcome, but the change in PHO volume between diagnosis and day 7 ± 2 was not. Prospective cohort studies with larger sample sizes are needed to investigate these associations and their modifiers.
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Affiliation(s)
| | - Karen Ferguson
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Adrian Robert Parry-Jones
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Salford Royal National Health Service Foundation Trust, University of Manchester, Manchester, UK
| | - Mark Rodrigues
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - James Loan
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Tom J Moullaali
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Jeremy Hughes
- Centre for Inflammation Research, University of Edinburgh, Edinburgh, UK
| | - Laura Shoveller
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Joanna Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Barry McColl
- UK Dementia Research Institute Centre, Centre for Discovery Brain Sciences University of Edinburgh, Edinburgh, UK
| | - Stuart M Allan
- Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK
| | - Magdy Selim
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - John Norrie
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Colin Smith
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Rustam Al-Shahi Salman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Usher Institute, University of Edinburgh, Edinburgh, UK
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Kakarla R, Bhangoo G, Pandian J, Shuaib A, Kate MP. Remote Ischemic Conditioning to Reduce Perihematoma Edema in Patients with Intracerebral Hemorrhage (RICOCHET): A Randomized Control Trial. J Clin Med 2024; 13:2696. [PMID: 38731225 PMCID: PMC11084750 DOI: 10.3390/jcm13092696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 04/25/2024] [Accepted: 04/29/2024] [Indexed: 05/13/2024] Open
Abstract
Background: Early perihematomal edema (PHE) growth is associated with worse functional outcomes at 90 days. Remote Ischemic conditioning (RIC) may reduce perihematomal inflammation if applied early to patients with intracerebral hemorrhage (ICH). We hypothesize that early RIC, delivered for seven days in patients with spontaneous ICH, may reduce PHE growth. Methods: ICH patients presenting within 6 h of symptom onset and hematoma volume < 60 milliliters (mL) were randomized to an RIC + standard care or standard care (SC) group. The primary outcome measure was calculated edema extension distance (EED), with the cm assessed on day seven. Results: Sixty patients were randomized with a mean ± SD age of 57.5 ± 10.8 years, and twenty-two (36.7%) were female. The relative baseline median PHE were similar (RIC group 0.75 (0.5-0.9) mL vs. SC group 0.91 (0.5-1.2) mL, p = 0.30). The median EEDs at baseline were similar (RIC group 0.58 (0.3-0.8) cm vs. SC group 0.51 (0.3-0.8) cm, p = 0.76). There was no difference in the median day 7 EED (RIC group 1.1 (0.6-1.2) cm vs. SC group 1 (0.9-1.2) cm, p = 0.75). Conclusions: Early RIC therapy delivered daily for seven days was feasible. However, no decrease in EED was noted with the intervention.
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Affiliation(s)
- Raviteja Kakarla
- Department of Neurology, Rangaraya Medical College, Kakinada 533003, India;
| | - Gurpriya Bhangoo
- Faculty of Nursing, University of Alberta, Edmonton, AB T6G 1C9, Canada;
| | - Jeyaraj Pandian
- Department of Neurology, Christian Medical College, Ludhiana 141008, India;
| | - Ashfaq Shuaib
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB T6G 2G3, Canada;
| | - Mahesh P. Kate
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, AB T6G 2G3, Canada;
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Cliteur MP, Sondag L, Cunningham L, Al-Shahi Salman R, Samarasekera N, Klijn CJM, Schreuder FHBM. The association between perihaematomal oedema and functional outcome after spontaneous intracerebral haemorrhage: A systematic review and meta-analysis. Eur Stroke J 2023; 8:423-433. [PMID: 37231691 PMCID: PMC10334181 DOI: 10.1177/23969873231157884] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 01/27/2023] [Indexed: 08/17/2023] Open
Abstract
PURPOSE Perihaematomal oedema (PHO) formation has gained increasing interest as a therapeutic target after spontaneous intracerebral haemorrhage (ICH). Whether PHO contributes to poor outcome is unclear. We aimed to determine the association between PHO and outcome in patients with spontaneous ICH. METHOD We searched five databases up to 17 November 2021 for studies of ⩾10 adults with ICH reporting the presence of PHO and outcome. We assessed risk of bias, extracted aggregate data and used random effects meta-analysis to pool studies that reported odds ratios (OR) with 95% confidence intervals (CI). Primary outcome was poor functional outcome defined as modified Rankin Scale score of 3-6 at 3 months. Additionally, we assessed PHO growth and poor outcome at any time of follow-up. We prospectively registered the protocol in PROSPERO (CRD42020157088). FINDINGS We identified 12,968 articles, of which we included 27 studies (n = 9534). Eighteen studies reported an association between larger PHO volume and poor outcome, six a neutral result and three an inverse relationship. Larger absolute PHO volume was associated with poor functional outcome at 3 months (OR per mL increase of absolute PHO 1.03, 95% CI 1.00-1.06, I2 44%, four studies). Additionally, PHO growth was associated with poor outcome (OR 1.04, 95% CI 1.02-1.06, I2 0%, seven studies). DISCUSSION In patients with spontaneous ICH, larger PHO volume is associated with poor functional outcome at 3 months. These findings support the development and investigation of new therapeutic interventions targeting PHO formation to evaluate if reduction of PHO improves outcome after ICH.
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Affiliation(s)
- Maaike P Cliteur
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Lotte Sondag
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Laura Cunningham
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | | | | | - Catharina JM Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Floris HBM Schreuder
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
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Zhou P, Sun Q, Song G, Liu Z, Qi J, Yuan X, Wang X, Yan S, Du J, Dai Z, Wang J, Hu S. Radiomics features from perihematomal edema for prediction of prognosis in the patients with basal ganglia hemorrhage. Front Neurol 2022; 13:982928. [PMID: 36425801 PMCID: PMC9680901 DOI: 10.3389/fneur.2022.982928] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 10/24/2022] [Indexed: 09/18/2024] Open
Abstract
OBJECTIVE We developed and validated a clinical-radiomics nomogram to predict the prognosis of basal ganglia hemorrhage patients. METHODS Retrospective analyses were conducted in 197 patients with basal ganglia hemorrhage (training cohort: n = 136, test cohort: n = 61) who were admitted to The First Affiliated Hospital of Shandong First Medical University (Shandong Provincial Qianfoshan Hospital) and underwent computed tomography (CT) scan. According to different prognoses, patients with basal ganglia hemorrhage were divided into two groups. Independent clinical risk factors were derived with univariate and multivariate regression analysis. Radiomics signatures were obtained using least absolute shrinkage and selection operator. A radiomics score (Rad-score) was generated by 12 radiomics signatures of perihematomal edema (PHE) from CT images that were correlated with the prognosis of basal ganglia hemorrhage patients. A clinical-radiomics nomogram was conducted by combing the Rad-score and clinical risk factors using logistic regression analysis. The prediction performance of the nomogram was tested in the training cohort and verified in the test cohort. RESULTS The clinical model conducted by four clinical risk factors and 12 radiomcis features were used to establish the Rad-score. The clinical-radiomics nomogram outperformed the clinical model in the training cohort [area under the curve (AUC), 0.92 vs. 0.85] and the test cohort (AUC, 0.91 vs 0.85). The clinical-radiomics nomogram showed good calibration and clinical benefit in both the training and test cohorts. CONCLUSION Radiomics features of PHE in patients with basal ganglia hemorrhage could contribute to the outcome prediction. The clinical-radiomics nomogram may help first-line clinicians to make individual clinical treatment decisions for patients with basal ganglia hemorrhage.
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Affiliation(s)
- Peng Zhou
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Quanye Sun
- Research Center of Translational Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Gesheng Song
- Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Zexiang Liu
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Jianfeng Qi
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Xuhui Yuan
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Xu Wang
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Shaofeng Yan
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Jianyang Du
- Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Zhengjun Dai
- Scientific Research Department, Huiying Medical Technology Co., Ltd, Beijing, China
| | - Jianjun Wang
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Shaoshan Hu
- Department of Neurosurgery, Emergency Medicine Center, Hangzhou Medical College, Zhejiang Provincial People's Hospital, Hangzhou, China
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7
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Loan JJM, Al-Shahi Salman R, McColl BW, Hardingham GE. Activation of Nrf2 to Optimise Immune Responses to Intracerebral Haemorrhage. Biomolecules 2022; 12:1438. [PMID: 36291647 PMCID: PMC9599325 DOI: 10.3390/biom12101438] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 09/30/2022] [Accepted: 10/04/2022] [Indexed: 11/17/2022] Open
Abstract
Haemorrhage into the brain parenchyma can be devastating. This manifests as spontaneous intracerebral haemorrhage (ICH) after head trauma, and in the context of vascular dementia. Randomised controlled trials have not reliably shown that haemostatic treatments aimed at limiting ICH haematoma expansion and surgical approaches to reducing haematoma volume are effective. Consequently, treatments to modulate the pathophysiological responses to ICH, which may cause secondary brain injury, are appealing. Following ICH, microglia and monocyte derived cells are recruited to the peri-haematomal environment where they phagocytose haematoma breakdown products and secrete inflammatory cytokines, which may trigger both protective and harmful responses. The transcription factor Nrf2, is activated by oxidative stress, is highly expressed by central nervous system microglia and macroglia. When active, Nrf2 induces a transcriptional programme characterised by increased expression of antioxidant, haem and heavy metal detoxification and proteostasis genes, as well as suppression of proinflammatory factors. Therefore, Nrf2 activation may facilitate adaptive-protective immune cell responses to ICH by boosting resistance to oxidative stress and heavy metal toxicity, whilst limiting harmful inflammatory signalling, which can contribute to further blood brain barrier dysfunction and cerebral oedema. In this review, we consider the responses of immune cells to ICH and how these might be modulated by Nrf2 activation. Finally, we propose potential therapeutic strategies to harness Nrf2 to improve the outcomes of patients with ICH.
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Affiliation(s)
- James J. M. Loan
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK
- UK Dementia Research Institute at Edinburgh, University of Edinburgh, Edinburgh EH16 4SB, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK
| | | | - Barry W. McColl
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK
- UK Dementia Research Institute at Edinburgh, University of Edinburgh, Edinburgh EH16 4SB, UK
| | - Giles E. Hardingham
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK
- UK Dementia Research Institute at Edinburgh, University of Edinburgh, Edinburgh EH16 4SB, UK
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8
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Chen Y, Qin C, Chang J, Liu Y, Zhang Q, Ye Z, Li Z, Tian F, Ma W, Wei J, Feng M, Chen S, Yao J, Wang R. Defining Delayed Perihematomal Edema Expansion in Intracerebral Hemorrhage: Segmentation, Time Course, Risk Factors and Clinical Outcome. Front Immunol 2022; 13:911207. [PMID: 35615357 PMCID: PMC9125313 DOI: 10.3389/fimmu.2022.911207] [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: 04/02/2022] [Accepted: 04/15/2022] [Indexed: 11/30/2022] Open
Abstract
We attempt to generate a definition of delayed perihematomal edema expansion (DPE) and analyze its time course, risk factors, and clinical outcomes. A multi-cohort data was derived from the Chinese Intracranial Hemorrhage Image Database (CICHID). A non-contrast computed tomography (NCCT) -based deep learning model was constructed for fully automated segmentation hematoma and perihematomal edema (PHE). Time course of hematoma and PHE evolution correlated to initial hematoma volume was volumetrically assessed. Predictive values for DPE were calculated through receiver operating characteristic curve analysis and were tested in an independent cohort. Logistic regression analysis was utilized to identify risk factors for DPE formation and poor outcomes. The test cohort’s Dice scores of lesion segmentation were 0.877 and 0.642 for hematoma and PHE, respectively. Overall, 1201 patients were enrolled for time-course analysis of ICH evolution. A total of 312 patients were further selected for DPE analysis. Time course analysis showed the growth peak of PHE approximately concentrates in 14 days after onset. The best cutoff for DPE to predict poor outcome was 3.34 mL of absolute PHE expansion from 4-7 days to 8-14 days (AUC=0.784, sensitivity=72.2%, specificity=81.2%), and 3.78 mL of absolute PHE expansion from 8-14 days to 15-21 days (AUC=0.682, sensitivity=59.3%, specificity=92.1%) in the derivation sample. Patients with DPE was associated with worse outcome (OR: 12.340, 95%CI: 6.378-23.873, P<0.01), and the larger initial hematoma volume (OR: 1.021, 95%CI: 1.000-1.043, P=0.049) was the significant risk factor for DPE formation. This study constructed a well-performance deep learning model for automatic segmentations of hematoma and PHE. A new definition of DPE was generated and is confirmed to be related to poor outcomes in ICH. Patients with larger initial hematoma volume have a higher risk of developing DPE formation.
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Affiliation(s)
- Yihao Chen
- Department of Neurosurgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | | | - Jianbo Chang
- Department of Neurosurgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | | | - Qinghua Zhang
- Department of Neurosurgery, Shenzhen Nanshan Hospital, Shenzhen, China
| | - Zeju Ye
- Department of Neurosurgery, Dongguan People's Hospital, Dongguan, China
| | - Zhaojian Li
- Department of Neurosurgery, The Affiliated Hospital of Qingdao University, Qingdao, China.,Department of Medicine, Qingdao University, Qingdao, China
| | - Fengxuan Tian
- Department of Neurosurgery, Qinghai Provincial People's Hospital, Xining, China
| | - Wenbin Ma
- Department of Neurosurgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Junji Wei
- Department of Neurosurgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Ming Feng
- Department of Neurosurgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Shengpan Chen
- Department of Neurosurgery, Guangdong Provincial People's Hospital, Guangdong Institute of Neuroscience, Guangdong Academy of Medical Sciences, Guangzhou, China
| | | | - Renzhi Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
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Walter S, Audebert HJ, Katsanos AH, Larsen K, Sacco S, Steiner T, Turc G, Tsivgoulis G. European Stroke Organisation (ESO) guidelines on mobile stroke units for prehospital stroke management. Eur Stroke J 2022; 7:XXVII-LIX. [PMID: 35300251 PMCID: PMC8921783 DOI: 10.1177/23969873221079413] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 01/23/2022] [Indexed: 08/03/2023] Open
Abstract
The safety and efficacy of mobile stroke units (MSUs) in prehospital stroke management has recently been investigated in different clinical studies. MSUs are ambulances equipped with a CT scanner, point-of-care lab, telemedicine and are staffed with a stroke specialised medical team. This European Stroke Organisation (ESO) guideline provides an up-to-date evidence-based recommendation to assist decision-makers in their choice on using MSUs for prehospital management of suspected stroke, which includes patients with acute ischaemic stroke (AIS), intracranial haemorrhage (ICH) and stroke mimics. The guidelines were developed according to the ESO standard operating procedure and Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. The working group identified relevant clinical questions, performed systematic reviews and aggregated data meta-analyses of the literature, assessed the quality of the available evidence and made specific recommendations. Expert consensus statements are provided where sufficient evidence was not available to provide recommendations based on the GRADE approach. We found moderate evidence for suggesting MSU management for patients with suspected stroke. The patient group diagnosed with AIS shows an improvement of functional outcomes at 90 days, reduced onset to treatment times and increased proportion receiving IVT within 60 min from onset. MSU management might be beneficial for patients with ICH as MSU management was associated with a higher proportion of ICH patients being primarily transported to tertiary care stroke centres. No safety concerns (all-cause mortality, proportion of stroke mimics treated with IVT, symptomatic intracranial bleeding and major extracranial bleeding) could be identified for all patients managed with a MSU compared to conventional care. We suggest MSU management to improve prehospital management of suspected stroke patients.
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Affiliation(s)
- Silke Walter
- Department of Neurology, Saarland University Medical Centre, Homburg, Germany
| | - Heinrich J Audebert
- Klinik und Hochschulambulanz für Neurologie, Campus Benjamin Franklin, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
- Center for Stroke Research Berlin Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Aristeidis H Katsanos
- Division of Neurology, Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
- Second Department of Neurology, “Attikon” University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Karianne Larsen
- The Norwegian Air Ambulance Foundation, Oslo, Norway
- Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Simona Sacco
- Department of Applied Clinical Sciences and Biotechnology, University of L’Aquila, L’Aquila, Italy
| | - Thorsten Steiner
- Department of Neurology, Klinikum Frankfurt Höchst, Frankfurt, Germany
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - Guillaume Turc
- Department of Neurology, GHU Paris Psychiatrie et Neurosciences, Paris, France
- Université de Paris, Paris, France
- INSERM U1266, Paris, France
- FHU Neurovasc, Paris, France
| | - Georgios Tsivgoulis
- Second Department of Neurology, “Attikon” University Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, University of Tennessee Health Science Center, Memphis, TN, USA
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