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Hao L, Zhang A, Lv D, Gao M, Guo W, Yao Z. Exploring the link between iron dysregulation, ferroptosis, and cognitive dysfunction in intracerebral hemorrhage patients. J Clin Neurosci 2025; 135:111194. [PMID: 40132332 DOI: 10.1016/j.jocn.2025.111194] [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: 12/03/2024] [Revised: 12/30/2024] [Accepted: 03/13/2025] [Indexed: 03/27/2025]
Abstract
OBJECTIVE The present study aimed to investigate the association between iron metabolism, ferroptosis, cerebrospinal fluid (CSF) iron ion levels, and cognitive impairment in patients with intracerebral hemorrhage (ICH). METHODS A total of 80 ICH patients treated at the Department of Neurology and Emergency Department of our hospital were included in the study. Additionally, 36 patients with external brain injury (without intracerebral hemorrhage) were recruited as a control group. Magnetic resonance imaging (MRI) was used to assess the location and extent of intracerebral bleeding in the observation group (ICH group). RESULTS The protein expressions of GPX4 and FSP1 were found to be elevated in the ICH group (P < 0.05). Similarly, the expressions of iron metabolism-related proteins, including transferrin, ferritin, and ferritransporters, were significantly higher in the brain tissue of the ICH group (P < 0.05). Malondialdehyde (MDA) levels were also elevated in the ICH group (MDA: 4.45 ± 0.47 vs. 3.31 ± 0.35 nmol/ml). Furthermore, the level of iron ions in the CSF was higher in the ICH group (P < 0.05). Cognitive assessments showed that MMSE and MoCA scores in the ICH group were significantly lower than those in the control group (P < 0.05), indicating more severe cognitive impairment in the observation group. Moreover, MMSE and MoCA scores were negatively correlated with iron metabolism-related proteins (transferrin, ferritin, and ferritransporters), ferroptosis markers (GPX4 and FSP1), and CSF iron ion levels (P < 0.05). CONCLUSION Disturbances in iron metabolism, the occurrence of ferroptosis, and increased CSF iron ion levels in ICH patients appear to be closely associated with cognitive impairment.
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Affiliation(s)
- Liang Hao
- Department of Neurosurgery, The Third Hospital of Shijiazhuang, Shijiazhuang, China.
| | - Aobo Zhang
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Dongsheng Lv
- Department of Neurosurgery, The Forth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Mingming Gao
- Department of Neurosurgery, The Third Hospital of Shijiazhuang, Shijiazhuang, China
| | - Wei Guo
- Department of Neurosurgery, The Third Hospital of Shijiazhuang, Shijiazhuang, China
| | - Zhigang Yao
- Department of Neurosurgery, The Third Hospital of Shijiazhuang, Shijiazhuang, China
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2
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Pensato U, Dowlatshahi D, Rodriguez-Luna D, Ospel JM, Morotti A, Tanaka K, Yogendrakumar V, Romero JM, Brouwers HB, Davis SM, Yassi N, Flaherty ML, Gladstone DJ, Aviv RI, Goldstein JN, Demchuk AM. Spot Sign in Intracerebral Hemorrhage: Critical Reappraisal and Future Clinical Implications. Stroke 2025. [PMID: 40197116 DOI: 10.1161/strokeaha.125.050637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2025]
Abstract
Hematoma expansion (HE) is a common occurrence affecting around 10% to 30% of patients with acute intracerebral hemorrhage within the initial hours from symptom onset and is the only modifiable factor associated with poor clinical outcomes. The detection of contrast extravasation on computed tomography (CT) angiography, known as the spot sign, was initially embraced as a promising radiological marker for predicting HE that could aid patient selection for acute interventions aimed at minimizing HE. However, the initial enthusiasm waned as clinical studies failed to show clear clinical benefits of hemostatic treatments when patients were selected based on the presence of this imaging marker. In this narrative review, we provide a comprehensive summary of the pathophysiology, definitions, imaging protocols, and predictive performance of the CT angiography spot sign, along with the clinical studies that have selected and treated patients based on its presence. Finally, we delve into some nuances of the spot sign that can enhance its predictive performance and help stratify HE risk with greater precision. These features include static findings observed on single-phase CT angiography (ie, number, volume, CT density, and colocalization with hypodensities), as well as dynamic findings identified on multiphase/dynamic CT angiography (ie, timing of appearance, volume increase, volume decrease for tissue dispersion, and CT density changes). In this reappraisal of the spot sign, we aim to reinvigorate research on advanced neuroimaging in intracerebral hemorrhage that could lead to a more accurate HE prediction. This could facilitate better selection for therapies aimed at preventing HE or surgical approaches to address the bleeding source.
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Affiliation(s)
- Umberto Pensato
- Department of Neurology, IRCCS Humanitas Research Hospital, Milan, Italy (U.P.)
- Department of Biomedical Sciences, Humanitas University, Milan, Italy (U.P.)
| | - Dar Dowlatshahi
- Division of Neurology, Department of Medicine, University of Ottawa and Ottawa Hospital Research Institute, Ontario, Canada (D.D., V.Y.)
| | - David Rodriguez-Luna
- Stroke Unit, Department of Neurology, Hospital Universitari Vall d'Hebron, Barcelona, Spain (D.R.-L.)
| | - Johanna M Ospel
- Department of Radiology, University of Calgary Cumming School of Medicine, Alberta, Canada (J.M.O.)
| | - Andrea Morotti
- Department of Clinical and Experimental Sciences, Neurology Unity, University of Brescia, Italy (A.M.)
| | - Koji Tanaka
- Department of Clinical Neurosciences, University of Calgary, Canada (K.T., A.M.D.)
| | - Vignan Yogendrakumar
- Division of Neurology, Department of Medicine, University of Ottawa and Ottawa Hospital Research Institute, Ontario, Canada (D.D., V.Y.)
- Melbourne Brain Centre, Royal Melbourne Hospital and University of Melbourne, Parkville, Victoria, Australia (V.Y., S.M.D., N.Y.)
| | - Javier M Romero
- Department of Neuroradiology, Massachusetts General Hospital, Boston. (J.M.R.)
| | - H Bart Brouwers
- Department of Neurosurgery, Elisabeth-TweeSteden Hospital, Tilburg, the Netherlands (H.B.B.)
| | - Stephen M Davis
- Melbourne Brain Centre, Royal Melbourne Hospital and University of Melbourne, Parkville, Victoria, Australia (V.Y., S.M.D., N.Y.)
| | - Nawaf Yassi
- Melbourne Brain Centre, Royal Melbourne Hospital and University of Melbourne, Parkville, Victoria, Australia (V.Y., S.M.D., N.Y.)
| | - Matthew L Flaherty
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati Academic Health Center, OH (M.L.F.)
| | - David J Gladstone
- Department of Neurology, University of Toronto, Ontario, Canada (D.J.G.)
| | - Richard I Aviv
- Department of Radiology, Radiation Oncology and Medical Physics, University of Ottawa, Canada (R.I.A.)
| | - Joshua N Goldstein
- Department of Emergency Medicine, Massachusetts General Hospital, Boston. (J.N.G.)
| | - Andrew M Demchuk
- Department of Clinical Neurosciences, University of Calgary, Canada (K.T., A.M.D.)
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Pensato U, Tanaka K, Kaveeta C, Ospel J, Horn M, Rodriguez-Luna D, Singh N, Banerjee A, Wasyliw S, Horn K, Bobyn A, Neweduk A, Qiu W, Goyal M, Menon B, Demchuk A. Stepwise improvement in intracerebral haematoma expansion prediction with advanced imaging: a comprehensive comparison of existing scores. Stroke Vasc Neurol 2025:svn-2024-003988. [PMID: 40194847 DOI: 10.1136/svn-2024-003988] [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: 12/27/2024] [Accepted: 03/05/2025] [Indexed: 04/09/2025] Open
Abstract
BACKGROUND We aim to comprehensively assess and compare the predictive performance of haematoma expansion (HE) scores in a homogeneous cohort of acute intracerebral haemorrhage (ICH) patients. METHODS Existing scores for predicting HE in acute ICH patients were included and categorised by imaging modality: non-contrast CT (NCCT), single-phase CT angiography (sCTA) and multiphase CTA (mCTA). The predictive performance of the scores was evaluated with the c-statistic in a population of consecutive adult patients with acute ICH admitted to a tertiary care centre in Southern Alberta, Canada, between February 2012 and May 2020, investigated with a multimodal imaging protocol (NCCT, sCTA and mCTA). The primary outcome was HE (ICH volume growth ≥6 mL or ≥33%), and the secondary outcome was severe HE (ICH volume growth ≥12.5 mL or ≥66%). The DeLong test compared the best-performing scores from each imaging category. RESULTS 16 HE scores were assessed (NCCT=8, sCTA=6 and mCTA=2) in 217 patients with a median age of 70 years (IQR=60-80), and 86 (39.6%) were females. 51 (23.5%) patients experienced HE and 35 (16.1%) had severe HE. The c-statistic for predicting HE ranged from 0.516 to 0.674 for NCCT-based scores, 0.627 to 0.725 for sCTA-based scores and 0.800 to 0.814 for mCTA-based score. The c-statistic for predicting severe HE ranged from 0.505 to 0.666 for NCCT scores, 0.651 to 0.740 for sCTA scores and 0.813 to 0.828 for mCTA scores. A statistically significant difference favouring mCTA over other imaging modalities in predicting both HE and severe HE was observed. CONCLUSIONS Advanced imaging demonstrated a stepwise improvement in the predictive performance of HE scores. However, no existing score achieved excellent predictive performance (c-statistics ≥0.90) in our cohort, highlighting the need for further refinement.
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Affiliation(s)
- Umberto Pensato
- Department of Neurology, IRCCS Humanitas Research Hospital, 20089 Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Milan, Italy
| | - Koji Tanaka
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Chitapa Kaveeta
- Department of Medicine, Mahidol University, Salaya, Thailand
| | - Johanna Ospel
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
| | - MacKenzie Horn
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | | | - Nishita Singh
- Department of Neurology, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Ankur Banerjee
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Sanchea Wasyliw
- Department of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Kennedy Horn
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Amy Bobyn
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Anneliese Neweduk
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Wu Qiu
- Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Mayank Goyal
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
| | - Bijoy Menon
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Andrew Demchuk
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
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Pensato U, Kaveeta C, Tanaka K, Ospel JM, AlShamrani MA, Horn M, Dowlatshahi D, Kulkarni G, Teleg E, Al Sultan AS, Kasickova L, Ohara T, Ojha P, Marzoughi S, Menon BK, Goyal M, Demchuk AM. Initial intraventricular involvement and early intracerebral hematoma retraction: The "ventricular washout". Eur Stroke J 2025:23969873251330186. [PMID: 40172123 PMCID: PMC11966627 DOI: 10.1177/23969873251330186] [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: 12/21/2024] [Accepted: 03/10/2025] [Indexed: 04/04/2025] Open
Abstract
INTRODUCTION Intraventricular hematoma (IVH) occurs in approximately 40% of acute intracerebral hemorrhage (ICH) patients and is significantly associated with worse clinical outcomes. According to cerebrospinal fluid dynamics, some blood within the ventricles may circulate through the subarachnoid spaces, leading to its apparent "disappearance" on follow-up imaging. We aim to investigate the association between initial IVH involvement and significant early ICH retraction at follow-up imaging. METHODS Data are from the MCAHP (Multiphase CT Angiography Hematoma Prediction) Study, which included consecutive patients with acute ICH investigated with multimodal CT imaging. Patients who underwent surgery before follow-up imaging were excluded. IVH severity was assessed using the IVH score. The primary outcome was significant early ICH retraction, defined as volume decrease (⩾3 ml or ⩾15%) between the initial and follow-up scans. Secondary outcomes included early absolute and relative ICH decrease. Associations between outcomes and initial IVH involvement or IVH score were assessed with logistic regression adjusted for age, baseline NIHSS, initial ICH volume, and onset-to-CT time. RESULTS Overall, 177 ICH patients were included. The median age was 71 years (IQR = 59-80), 71 (40.1%) patients were female, and 64 (36.2%) presented with initial IVH involvement. Patients with initial IVH, compared to those without, had a larger initial ICH volume (28.5 ml [IQR = 12.7-52.5] vs. 18.9 ml [IQR = 8.1-30.6], p < 0.001) and different ICH location (deep = 54.7% vs 47.8%; lobar = 35.9% vs 46.0%; infratentorial = 7.3% vs 6.2%; p < 0.001). Early ICH retraction was observed in 33 (18.6%) patients: 21 (32.8%) with initial IVH and 10 (10.6%) without initial IVH. There was a significant association between early ICH retraction and initial IVH involvement (adjusted odds ratio [aOR] 4.02 [95% CI = 1.72-9.41]) and IVH score (aOR 1.14 [95% CI = 1.05-1.23] per 1-point increase). Similar results were observed for secondary outcomes. CONCLUSION Initial IVH involvement is associated with early ICH retraction - "intraventricular washout." This might result in an underestimation of hematoma expansion occurrence and severity in these patients, with potential implications when evaluating the predictive performance of hematoma expansion markers/scores and the radiological efficacy of hemostatic treatments.
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Affiliation(s)
- Umberto Pensato
- IRCCS Humanitas Research Hospital, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Chitapa Kaveeta
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Koji Tanaka
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Johanna M Ospel
- Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - Mohamed A AlShamrani
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Neuroscience Center, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - MacKenzie Horn
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Dar Dowlatshahi
- Department of Medicine, Division of Neurology, University of Ottawa, Ottawa, ON, Canada
| | - Girish Kulkarni
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Ericka Teleg
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | | | - Linda Kasickova
- Department of Neurology, University Ostrava, Ostrava, Czech Republic
| | - Tomoyuki Ohara
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Piyush Ojha
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Sina Marzoughi
- Department of Medicine, Division of Neurology, University of British Columbia, Vancouver, Canada
| | - Bijoy K Menon
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - Mayank Goyal
- Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - Andrew M Demchuk
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Department of Radiology, University of Calgary, Calgary, AB, Canada
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Fandler-Höfler S, Murthy SB. Hematoma Expansion in Intracerebral Hemorrhage: Time Is the Enemy. Stroke 2025; 56:848-849. [PMID: 40127149 DOI: 10.1161/strokeaha.125.050756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/26/2025]
Affiliation(s)
| | - Santosh B Murthy
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, Department of Neurology, Weill Cornell Medicine, New York, NY (S.B.M.)
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Yu X, Elazab A, Ge R, Zhu J, Zhang L, Jia G, Wu Q, Wan X, Li L, Wang C. ICH-PRNet: a cross-modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism. Neural Netw 2025; 184:107096. [PMID: 39798349 DOI: 10.1016/j.neunet.2024.107096] [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: 06/17/2024] [Revised: 12/16/2024] [Accepted: 12/23/2024] [Indexed: 01/15/2025]
Abstract
Accurately predicting intracerebral hemorrhage (ICH) prognosis is a critical and indispensable step in the clinical management of patients post-ICH. Recently, integrating artificial intelligence, particularly deep learning, has significantly enhanced prediction accuracy and alleviated neurosurgeons from the burden of manual prognosis assessment. However, uni-modal methods have shown suboptimal performance due to the intricate pathophysiology of the ICH. On the other hand, existing cross-modal approaches that incorporate tabular data have often failed to effectively extract complementary information and cross-modal features between modalities, thereby limiting their prognostic capabilities. This study introduces a novel cross-modal network, ICH-PRNet, designed to predict ICH prognosis outcomes. Specifically, we propose a joint-attention interaction encoder that effectively integrates computed tomography images and clinical texts within a unified representational space. Additionally, we define a multi-loss function comprising three components to comprehensively optimize cross-modal fusion capabilities. To balance the training process, we employ a self-adaptive dynamic prioritization algorithm that adjusts the weights of each component, accordingly. Our model, through these innovative designs, establishes robust semantic connections between modalities and uncovers rich, complementary cross-modal information, thereby achieving superior prediction results. Extensive experimental results and comparisons with state-of-the-art methods on both in-house and publicly available datasets unequivocally demonstrate the superiority and efficacy of the proposed method. Our code is at https://github.com/YU-deep/ICH-PRNet.git.
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Affiliation(s)
- Xinlei Yu
- School of Computer Science, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Ahmed Elazab
- School of Biomedical Engineering, Shenzhen University, Shenzhen, 518037, China
| | - Ruiquan Ge
- School of Computer Science, Hangzhou Dianzi University, Hangzhou, 310018, China.
| | - Jichao Zhu
- Department of Radiology, Longgang Central Hospital of Shenzhen, Shenzhen, 518116, China
| | - Lingyan Zhang
- Department of Radiology, Longgang Central Hospital of Shenzhen, Shenzhen, 518116, China
| | - Gangyong Jia
- School of Computer Science, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Qing Wu
- School of Computer Science, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Xiang Wan
- Medical Big Data Lab, Shenzhen Research Institute of Big Data, Shenzhen, 518172, China
| | - Lihua Li
- School of Computer Science, Hangzhou Dianzi University, Hangzhou, 310018, China.
| | - Changmiao Wang
- Medical Big Data Lab, Shenzhen Research Institute of Big Data, Shenzhen, 518172, China.
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Speth A, Dell’Orco A, Kleine JF, Güttler C, Morotti A, Urbach H, Bohner G, Scheel M, Nawabi J, Schlunk F. Brain Atrophy Is Associated with Hematoma Expansion in Intracerebral Hemorrhage, Depending on Coagulation Status. J Clin Med 2025; 14:2227. [PMID: 40217678 PMCID: PMC11989702 DOI: 10.3390/jcm14072227] [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: 10/25/2024] [Revised: 03/13/2025] [Accepted: 03/17/2025] [Indexed: 04/14/2025] Open
Abstract
Background/Objectives: This study aimed to research the potential association between brain atrophy and hematoma expansion (HE) in intracerebral hemorrhage (ICH). Methods: A retrospective analysis was conducted using data from patients with primary ICH in our stroke database. ICH volumes from initial and follow-up CT scans were manually segmented. Total brain and intracranial volumes were quantified using an automated head CT segmentation method. Normalized brain volume (NBV) was calculated by dividing the total brain volume by the total intracranial volume to account for individual head size differences. The relationship between the NBV and hematoma expansion was assessed using linear regression, adjusting for other variables influencing hematoma expansion. Results: Our final analysis included 420 patients. Brain atrophy (lower NBV) was associated with hematoma growth (>0 mL) in patients not on oral anticoagulants (β = -0.159, p = 0.032). A strong association was observed in patients using vitamin K antagonists (β = -0.667, p = 0.006) but not in those on direct oral anticoagulants (DOACs; (β = -0.159, p = 0.436)). Results remained significant in patients not on oral anticoagulants and in those on VKAs when hematoma expansion was defined as a volume increase >6 mL or >33%. Conclusions: This research provides initial evidence that brain atrophy is a risk factor for hematoma expansion, depending on the patient's coagulation status. These findings could enhance risk stratification for acute clinical management and deepen understanding of the biological mechanisms behind hematoma expansion.
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Affiliation(s)
- Anna Speth
- Department of Neuroradiology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt—Universität zu Berlin, and Berlin Institute of Health, 14197 Berlin, Germany (A.D.); (J.F.K.); (C.G.); (G.B.); (M.S.); (J.N.)
| | - Andrea Dell’Orco
- Department of Neuroradiology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt—Universität zu Berlin, and Berlin Institute of Health, 14197 Berlin, Germany (A.D.); (J.F.K.); (C.G.); (G.B.); (M.S.); (J.N.)
| | - Justus F. Kleine
- Department of Neuroradiology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt—Universität zu Berlin, and Berlin Institute of Health, 14197 Berlin, Germany (A.D.); (J.F.K.); (C.G.); (G.B.); (M.S.); (J.N.)
| | - Christopher Güttler
- Department of Neuroradiology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt—Universität zu Berlin, and Berlin Institute of Health, 14197 Berlin, Germany (A.D.); (J.F.K.); (C.G.); (G.B.); (M.S.); (J.N.)
| | - Andrea Morotti
- Neurology Unit, Department of Neurological Sciences and Vision, ASST Spedali Civili, 25123 Brescia, Italy;
| | - Horst Urbach
- Department of Neuroradiology, Medical Center-University of Freiburg, Breisacher Strasse 64, 79106 Freiburg im Breisgau, Germany;
| | - Georg Bohner
- Department of Neuroradiology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt—Universität zu Berlin, and Berlin Institute of Health, 14197 Berlin, Germany (A.D.); (J.F.K.); (C.G.); (G.B.); (M.S.); (J.N.)
| | - Michael Scheel
- Department of Neuroradiology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt—Universität zu Berlin, and Berlin Institute of Health, 14197 Berlin, Germany (A.D.); (J.F.K.); (C.G.); (G.B.); (M.S.); (J.N.)
| | - Jawed Nawabi
- Department of Neuroradiology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt—Universität zu Berlin, and Berlin Institute of Health, 14197 Berlin, Germany (A.D.); (J.F.K.); (C.G.); (G.B.); (M.S.); (J.N.)
| | - Frieder Schlunk
- Department of Neuroradiology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt—Universität zu Berlin, and Berlin Institute of Health, 14197 Berlin, Germany (A.D.); (J.F.K.); (C.G.); (G.B.); (M.S.); (J.N.)
- Department of Neuroradiology, Medical Center-University of Freiburg, Breisacher Strasse 64, 79106 Freiburg im Breisgau, Germany;
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8
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Morotti A, Li Q, Nawabi J, Mazzacane F, Schlunk F, Shoamanesh A, Busto G, Cavallini A, Palmerini F, Paciaroni M, Gurol EM, Viswanathan A, Casetta I, Piccolo L, Fainardi E, Greenberg SM, Padovani A, Zini A, Rosand J, Broderick JP, Dowlatshahi D, Goldstein JN. Volume Tolerance and Prognostic Impact of Hematoma Expansion in Deep and Lobar Intracerebral Hemorrhage. Stroke 2025. [PMID: 40109238 DOI: 10.1161/strokeaha.124.049008] [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: 08/22/2024] [Revised: 01/06/2025] [Accepted: 02/12/2025] [Indexed: 03/22/2025]
Abstract
BACKGROUND The prognostic impact of intracerebral hemorrhage (ICH) volume varies according to location, with smaller volume tolerance in deep ICH, and hematoma expansion (HE) contributes to final ICH volume. We tested the hypothesis that HE influences outcome only when the final ICH volume achieves a critical threshold that differs according to ICH location. METHODS Retrospective analysis of patients with supratentorial ICH admitted at 10 centers in North America and China (development cohort) and Europe (replication cohort). HE was defined as growth >33% and >6 mL. Location-specific (lobar versus deep) volume cutoffs for the prediction of poor outcomes were derived using receiver operating characteristic curves and the Youden index. The prognostic impact of HE stratified by location and final volume was explored with logistic regression (poor outcome: 90-day modified Rankin Scale score of 4-6), accounting for age, Glasgow Coma Scale, baseline volume, intraventricular hemorrhage, and admission center. RESULTS We identified 1774 patients with ICH in the development cohort and 1746 in the replication cohort. A total of 1058 (mean age, 68 years; 47.8% males) and 1423 (mean age, 71 years; 44.7% males) subjects met the inclusion criteria, respectively. The optimal final ICH volume cutoff for poor outcome differed by location: ≥36 mL for lobar and ≥17 mL for deep ICH. HE with final volume below the cutoff was not associated with higher odds of poor outcome compared with patients without HE (adjusted odds ratio, 1.85 [95% CI, 0.78-4.38]; P=0.163 in lobar ICH; adjusted odds ratio, 0.85 [95% CI, 0.38-1.89]; P=0.685 in deep ICH). The combination of HE and final volume over the critical threshold was, however, significantly associated with poor prognosis, and the magnitude of this effect was substantial (adjusted odds ratio, 8.55 [95% CI, 2.87-25.48]; P<0.001 in lobar ICH; adjusted odds ratio, 10.34 [95% CI, 2.86-37.44]; P<0.001 in deep ICH). These findings were confirmed in the replication cohort. CONCLUSIONS HE significantly impacts severe outcomes only when the final ICH volume exceeds a critical target threshold, and this threshold is lower in deep versus lobar ICH. These findings might inform clinical practice and future trials.
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Affiliation(s)
- Andrea Morotti
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Italy (A.M., A.P.)
- Department of Continuity of Care and Frailty, Neurology Unit, ASST Spedali Civili Brescia University Hospital, Italy (A.M., A.P.)
| | - Qi Li
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (Q.L.)
| | - Jawed Nawabi
- Berlin Institute of Health (BIH), BIH Biomedical Innovation Academy, Berlin, Germany (J.N.)
- Department of Radiology (CCM), Charité - Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, BIH, Germany (J.N.)
| | - Federico Mazzacane
- U.C. Malattie Cerebrovascolari e Stroke Unit, IRCCS Fondazione Mondino, Pavia, Italia (F.M., A.C.)
| | - Frieder Schlunk
- Department of Neuroradiology, Medical Centre, University of Freiburg, Germany (F.S.)
| | - Ashkan Shoamanesh
- Division of Neurology, Department of Medicine, McMaster University/Population Health Research Institute, Hamilton, ON, Canada (A.S.)
| | - Giorgio Busto
- Department of Biomedical Experimental and Clinical Neuroradiology, University of Firenze, AOU Careggi, Italy (G.B., E.F.)
| | - Anna Cavallini
- U.C. Malattie Cerebrovascolari e Stroke Unit, IRCCS Fondazione Mondino, Pavia, Italia (F.M., A.C.)
| | | | - Maurizio Paciaroni
- Department of Neurosciences and Rehabilitation, Azienda Ospedaliero-Universitaria di Ferrara, Arcispedale Sant'Anna - Cona, University of Ferrara, Italy (M.P.)
| | - Edip M Gurol
- J. P. Kistler Stroke Research Center, Harvard Medical School, Massachusetts General Hospital, Boston. (E.M.G., A.V., S.M.G., J.R., J.N.G.)
| | - Anand Viswanathan
- J. P. Kistler Stroke Research Center, Harvard Medical School, Massachusetts General Hospital, Boston. (E.M.G., A.V., S.M.G., J.R., J.N.G.)
| | | | - Laura Piccolo
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Italy (L.P., A.Z.)
| | - Enrico Fainardi
- Department of Biomedical Experimental and Clinical Neuroradiology, University of Firenze, AOU Careggi, Italy (G.B., E.F.)
| | - Steven M Greenberg
- J. P. Kistler Stroke Research Center, Harvard Medical School, Massachusetts General Hospital, Boston. (E.M.G., A.V., S.M.G., J.R., J.N.G.)
| | - Alessandro Padovani
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Italy (A.M., A.P.)
- Department of Continuity of Care and Frailty, Neurology Unit, ASST Spedali Civili Brescia University Hospital, Italy (A.M., A.P.)
| | - Andrea Zini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Italy (L.P., A.Z.)
| | - Jonathan Rosand
- J. P. Kistler Stroke Research Center, Harvard Medical School, Massachusetts General Hospital, Boston. (E.M.G., A.V., S.M.G., J.R., J.N.G.)
- Department of Neurology, Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston. (J.R.)
| | - Joseph P Broderick
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, OH (J.P.B.)
| | - Dar Dowlatshahi
- Department of Medicine (Neurology), University of Ottawa and Ottawa Hospital Research Institute, ON, Canada (D.D.)
| | - Joshua N Goldstein
- J. P. Kistler Stroke Research Center, Harvard Medical School, Massachusetts General Hospital, Boston. (E.M.G., A.V., S.M.G., J.R., J.N.G.)
- Department of Emergency Medicine, Massachusetts General Hospital, Boston. (J.N.G.)
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9
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Li Q, Lv X, Morotti A, Qureshi AI, Dowlatshahi D, Falcone GJ, Sheth KN, Shoamanesh A, Murthy SB, Viswanathan A, Goldstein JN. Optimal Magnitude of Blood Pressure Reduction and Hematoma Growth and Functional Outcomes in Intracerebral Hemorrhage. Neurology 2025; 104:e213412. [PMID: 39913881 PMCID: PMC11803522 DOI: 10.1212/wnl.0000000000213412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Accepted: 01/02/2025] [Indexed: 02/09/2025] Open
Abstract
BACKGROUND AND OBJECTIVES Early intensive systolic blood pressure (SBP) reduction is a promising strategy for intracerebral hemorrhage (ICH), but the optimal magnitude of reduction in the first 2 hours remains uncertain. This study aimed to determine the optimal SBP reduction magnitude to maximize benefit in patients enrolled in the Antihypertensive Treatment of Acute Cerebral Hemorrhage 2 (ATACH-2) trial. METHODS We performed a post hoc analysis of the ATACH-2 trial. Participants with baseline SBP ≥180 mm Hg were randomized within 4.5 hours from onset and assigned to the intensive or standard group. The magnitude of SBP reduction was calculated as admission SBP minus minimum SBP at 2 hours. Eligible participants were divided into 5 groups by 15 mm Hg stratum: <40, 40-55, 55-70, 70-85, and ≥85 mm Hg. Poor functional outcome was defined as the modified Rankin Scale score at 3-6 and hematoma expansion (HE) as a relative increase of >33% from baseline to 24 hours. Multivariable logistic regression assessed associations between SBP reduction and outcomes. RESULTS Our study included 925 patients, of whom 360 (38.9%) were female. The median age was 62 years (IQR: 53-71). The median hematoma volume was 10.2 mL (IQR: 5.1-18.4), and the median magnitude of SBP reduction was 68 mm Hg (IQR: 48-88). Of those, 209 (22.6%) experienced HE, 122 (13.2%) experienced acute kidney injury (AKI), and 516 (55.8%) had poor outcome. Hematoma expansion decreased linearly as the magnitude of blood pressure reduction increased in 5 SBP reduction groups (p < 0.001). After multivariable adjustment, patients with a greater degree of SBP reduction (≥70 mm Hg) were less likely to experience HE and a SBP reduction ≥55 mm Hg was associated with a lower risk of poor outcomes (odds ratio [OR] 0.49, 95% CI 0.28-0.85). However, a SBP reduction ≥85 mm Hg increased AKI risk compared with <40 mm Hg (OR, 2.00; 95% CI 1.01-3.94). DISCUSSION Targeting a SBP reduction within the range of 55-85 mm Hg during the first 2 hours seems to be associated with optimal outcomes in patients with mild-to-moderate ICH, balancing the need to limit hematoma growth while avoiding adverse effect. Further study focusing on severe ICH is warranted. TRIAL REGISTRATION INFORMATION Clinical trial registration number: NCT01176565. CLASSIFICATION OF EVIDENCE This post hoc analysis of the ATACH-2 trial provides Class III evidence that SBP reduction of 55-85 mm Hg during the initial 2 hours is associated with lower frequency of HE and better functional outcomes in patients with acute cerebral hemorrhage.
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Affiliation(s)
- Qi Li
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xinni Lv
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Andrea Morotti
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Italy
| | - Adnan I Qureshi
- Zeenat Qureshi Stroke Institute and Department of Neurology, University of Missouri, Columbia, MO
| | - Dar Dowlatshahi
- Department of Medicine, Division of Neurology, University of Ottawa and Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Guido J Falcone
- Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Kevin Navin Sheth
- Division of Neurocritical Care and Emergency Neurology, Departments of Neurology and Neurosurgery, and the Yale Center for Brain and Mind Health, Yale School of Medicine, New Haven, CT
| | - Ashkan Shoamanesh
- Division of Neurology, Department of Medicine, Population Health Research Institute, McMaster University, Hamilton, ON, Canada
| | - Santosh B Murthy
- Clinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute and Department of Neurology, Weill Cornell Medicine, New York, NY
| | - Anand Viswanathan
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, MA; and
| | - Joshua N Goldstein
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
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10
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Deng R, Wu C, Zhang L, Wang J, Guo J, Yang Z, He L, Chen S. Early NCCT imaging signs for prognostication in intracerebral hemorrhage: a retrospective cohort study with long follow up results. BMC Neurol 2025; 25:91. [PMID: 40050793 PMCID: PMC11883969 DOI: 10.1186/s12883-025-04100-z] [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] [Subscribe] [Scholar Register] [Received: 12/17/2024] [Accepted: 02/20/2025] [Indexed: 03/10/2025] Open
Abstract
OBJECTIVE This study intends to investigate the connection between non-contrast computed tomography (NCCT) imaging findings and neurological function scores in patients with intracerebral hemorrhage (ICH) in a long follow up of 451 patients. METHODS Between January 2020 and October 2021, a retrospective review was undertaken on patients with ICH. The NCCT imaging results within 24 h of symptom onset, clinical information, biochemical markers and the one-year outcome post-discharge were collected and analyzed. Subsequently, a prognostic model was devised to predict poor outcomes. RESULTS A cohort of 451 patients diagnosed with ICH was analyzed in this study. Adverse prognostic outcomes at three months were found to be independently associated with several factors, including the presence of the swirl sign (P = 0.010), advanced age (P = 0.003), post-ICH modified Rankin Scale (mRS) score (P = 0.003,), time elapsed from symptom onset to NCCT scan (P = 0.018), and the presence of ventricular hemorrhage (P = 0.003). Unfavorable prognosis at 12 months was independently associated with the presence of the island sign (P = 0.001), older age (P = 0.003), post-ICH mRS score (P = 0.003), and HE (P = 0.014). Additionally, the integration of NCCT imaging signs into the predictive model significantly improved its accuracy in predicting adverse outcomes at both three months (AUC = 0.817 vs. 0.782 in the model without NCCT, NRI = 0.219, P = 0.033, IDI = 0.080, P = 0.006) and 12 months (AUC = 0.829 vs. 0.797 in the model without NCCT, NRI = 0.235, P = 0.028, IDI = 0.096, P = 0.003). CONCLUSIONS The early imaging features of patients suffering from ICH can provide a more precise prognosis from the analysis of the 12-month follow up results.
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Affiliation(s)
- Rong Deng
- Department of Neurology, Chongqing University Three Gorges Hospital, No.165 Xincheng Road, Wanzhou District, Chongqing, 404100, China
- School of Medicine, Chongqing University, Chongqing, 404010, China
| | - Chuyue Wu
- Department of Neurology, Chongqing University Three Gorges Hospital, No.165 Xincheng Road, Wanzhou District, Chongqing, 404100, China
- School of Medicine, Chongqing University, Chongqing, 404010, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- Chongqing Municipality Clinical Research Center for Geriatric Diseases, Chongqing University Three Gorges Hospital, Wanzhou, Chongqing, 404000, China
| | - Lina Zhang
- Department of Neurology, Chongqing University Three Gorges Hospital, No.165 Xincheng Road, Wanzhou District, Chongqing, 404100, China
- School of Medicine, Chongqing University, Chongqing, 404010, China
- Chongqing Municipality Clinical Research Center for Geriatric Diseases, Chongqing University Three Gorges Hospital, Wanzhou, Chongqing, 404000, China
| | - Jing Wang
- Department of Neurology, Chongqing University Three Gorges Hospital, No.165 Xincheng Road, Wanzhou District, Chongqing, 404100, China
- School of Medicine, Chongqing University, Chongqing, 404010, China
| | - Jing Guo
- Department of Neurology, Chongqing University Three Gorges Hospital, No.165 Xincheng Road, Wanzhou District, Chongqing, 404100, China
- School of Medicine, Chongqing University, Chongqing, 404010, China
| | - Zhenjie Yang
- School of Medicine, Chongqing University, Chongqing, 404010, China
- Department of Radiology, Chongqing University Three Gorges Hospital, Wanzhou, Chongqing, 404000, China
| | - Lei He
- Department of Neurology, Chongqing University Three Gorges Hospital, No.165 Xincheng Road, Wanzhou District, Chongqing, 404100, China
- School of Medicine, Chongqing University, Chongqing, 404010, China
| | - Shengli Chen
- Department of Neurology, Chongqing University Three Gorges Hospital, No.165 Xincheng Road, Wanzhou District, Chongqing, 404100, China.
- School of Medicine, Chongqing University, Chongqing, 404010, China.
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11
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Wei C, Chen C, Li S, Ding Y, Zhou Y, Mai F, Hong S, Wu J, Yang Y, Zhu Z, Xue D, Ning X, Sheng L, Lu B, Cai W, Yuan M, Liang H, Lin S, Yan G, Chen Y, Huang Y, Hu C, Yin W. TRIOL attenuates intracerebral hemorrhage injury by bidirectionally modulating microglia- and neuron-mediated hematoma clearance. Redox Biol 2025; 80:103487. [PMID: 39756315 PMCID: PMC11758845 DOI: 10.1016/j.redox.2024.103487] [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: 07/31/2024] [Revised: 12/11/2024] [Accepted: 12/30/2024] [Indexed: 01/07/2025] Open
Abstract
Intracerebral hemorrhage (ICH) represents the most severe subtype of stroke, and the lack of effective clinical pharmacotherapies poses a substantial threat to human health. Hematoma plays a crucial role in determining the prognosis of ICH patients by causing primary mechanical extrusion, followed by secondary brain injuries, such as cerebral edema, iron-mediated oxidative stress, and inflammation resulting from its degradation products. 5α-androst-3β,5α,6β-triol (TRIOL) is a neuroprotective steroid currently undergoing phase II clinical trial for acute ischemic stroke with anti-oxidative and anti-inflammatory properties. However, whether TRIOL can protect brain against ICH injury remains unclear. In this study, we found that TRIOL significantly improved neurological function while reducing hematoma volume, cerebral edema, and tissue damage after ICH. Moreover, TRIOL enhanced microglial hematoma clearance through promoting CD36-mediated erythrophagocytosis and CD163-associated hemoglobin scavenging, while simultaneously reducing the release of microglial inflammatory factors and activating the antioxidative transcription factor Nrf2. Additionally, TRIOL inhibited neuron mediated hematoma absorption by suppressing heme oxygenase 2 (HO-2) and protected neurons against ICH-induced damage in vitro and in vivo. TRIOL also mitigated neuronal iron-dependent oxidative damage by increasing ferritin levels but decreasing divalent metal transporter 1 (DMT1) expression. Overall, these findings highlight the promising potential of TRIOL as a drug candidate for treating ICH.
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Affiliation(s)
- CaiLv Wei
- Department of Biochemistry and Molecular Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China; School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Chen Chen
- Department of Biochemistry and Molecular Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China; Department of Pharmacology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - ShengLong Li
- Department of Biochemistry and Molecular Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - YuXuan Ding
- Department of Biochemistry and Molecular Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - YuWei Zhou
- Department of Pharmacology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China; Department of Laboratory Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China
| | - FangYing Mai
- Department of Biochemistry and Molecular Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - ShiRan Hong
- Department of Biochemistry and Molecular Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - JiaXin Wu
- Department of Biochemistry and Molecular Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Yang Yang
- Guangzhou Cellprotek Pharmaceutical Co., Ltd., Guangzhou, 510663, China
| | - Zhu Zhu
- Department of Pharmacology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - DongDong Xue
- Department of Pharmacology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - XinPeng Ning
- Department of Biochemistry and Molecular Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - LongXiang Sheng
- Department of Pharmacology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - BingZheng Lu
- Department of Pharmacology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China; Guangzhou Cellprotek Pharmaceutical Co., Ltd., Guangzhou, 510663, China
| | - Wei Cai
- Department of Biochemistry and Molecular Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - MingJun Yuan
- Guangzhou Cellprotek Pharmaceutical Co., Ltd., Guangzhou, 510663, China
| | - HuaFeng Liang
- Guangzhou Cellprotek Pharmaceutical Co., Ltd., Guangzhou, 510663, China
| | - SuiZhen Lin
- Guangzhou Cellprotek Pharmaceutical Co., Ltd., Guangzhou, 510663, China
| | - GuangMei Yan
- Department of Pharmacology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - YuPin Chen
- Guangzhou Cellprotek Pharmaceutical Co., Ltd., Guangzhou, 510663, China
| | - YiJun Huang
- Department of Pharmacology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
| | - Cheng Hu
- Department of Urology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
| | - Wei Yin
- Department of Biochemistry and Molecular Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
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12
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Pensato U, Tanaka K, Horn M, Teleg E, Al Sultan AS, Kasickova L, Ohara T, Ojha P, Marzoughi S, Banerjee A, Kulkarni G, Dowlatshahi D, Goyal M, Menon BK, Demchuk AM. Co-localization of NCCT hypodensity and CTA spot sign predicts substantial intracerebral hematoma expansion: The Black-&-White sign. Eur Stroke J 2025; 10:181-189. [PMID: 39150218 PMCID: PMC11569561 DOI: 10.1177/23969873241271745] [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: 06/04/2024] [Accepted: 06/30/2024] [Indexed: 08/17/2024] Open
Abstract
BACKGROUND Existing radiological markers of hematoma expansion (HE) show modest predictive accuracy. We aim to investigate a novel radiological marker that co-localizes findings from non-contrast CT (NCCT) and CT angiography (CTA) to predict HE. METHODS Consecutive acute intracerebral hemorrhage patients admitted at Foothills Medical Centre in Calgary, Canada, were included. The Black-&-White sign was defined as any visually identified spot sign on CTA co-localized with a hypodensity sign on the corresponding NCCT. The primary outcome was hematoma expansion (⩾6 mL or ⩾33%). Secondary outcomes included absolute (<3, 3-6, 6-12, ⩾12 mL) and relative (0%, <25%, 25%-50%, 50%-75%, or >75%) hematoma growth scales. RESULTS Two-hundred patients were included, with 50 (25%) experiencing HE. Forty-four (22%) showed the spot sign, 69 (34.5%) the hypodensity sign, and 14 (7%) co-localized both as the Black-&-White sign. Those with the Black-&-White sign had higher proportions of HE (100% vs 19.4%, p < 0.001), greater absolute hematoma growth (23.37 mL (IQR = 15.41-30.27) vs 0 mL (IQR = 0-2.39), p < 0.001) and relative hematoma growth (120% (IQR = 49-192) vs 0% (0-15%), p < 0.001). The Black-&-White sign had a specificity of 100% (95%CI = 97.6%-100%), a positive predictive value of 100% (95%CI = 76.8%-100%), and an overall accuracy of 82% (95%CI = 76%-87.1%). Among the 14 patients with the Black-&-White sign, 13 showed an absolute hematoma growth ⩾12 mL, and 10 experienced a HE exceeding 75% of the initial volume. The inter-rater agreement was excellent (kappa coefficient = 0.84). CONCLUSION The Black-&-White sign is a robust predictor of hematoma expansion occurrence and severity, yet further validation is needed to confirm these compelling findings.
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Affiliation(s)
- Umberto Pensato
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Koji Tanaka
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - MacKenzie Horn
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Ericka Teleg
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Abdulaziz Sulaiman Al Sultan
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - Linda Kasickova
- Department of Neurology, University Ostrava, Ostrava, Czech Republic
| | - Tomoyuki Ohara
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Piyush Ojha
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Sina Marzoughi
- Department of Medicine, Division of Neurology, University of British Columbia, Vancouver, BC, Canada
| | - Ankur Banerjee
- Department of Medicine, Division of Neurology, University of Alberta, Edmonton, AB, Canada
| | - Girish Kulkarni
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Dar Dowlatshahi
- Department of Medicine, Division of Neurology, University of Ottawa, Ottawa, ON, Canada
| | - Mayank Goyal
- Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - Bijoy K. Menon
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
- Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - Andrew M. Demchuk
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
- Department of Radiology, University of Calgary, Calgary, AB, Canada
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13
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Phung JYH, Yogendrakumar V, Dowlatshahi D. Acute Spontaneous Intracerebral Hemorrhage Management Update: Five New Things You Should Know. Ann Indian Acad Neurol 2025; 28:155-158. [PMID: 40235043 DOI: 10.4103/aian.aian_174_25] [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: 02/21/2025] [Accepted: 03/04/2025] [Indexed: 04/17/2025] Open
Abstract
Intracerebral hemorrhage (ICH) is a devastating condition responsible for millions of global deaths each year. Recent shifts in ICH management highlight a comprehensive care approach focusing on five pivotal components: prediction of hematoma expansion, blood pressure control, hemostasis, anticoagulation reversal, and surgical intervention. Radiological imaging allows clinicians to identify high-risk patients and implement approaches geared toward stabilizing hematoma volume to improve neurological outcomes. Surgical interventions and hematoma evacuation for cerebellar, intraventricular, and supratentorial ICH may also be used to reduce the mass effect from hematomas. This review will highlight the need to integrate all five strategies where appropriate into a bundle of care, with an emphasis on ongoing research in acute ICH management.
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Affiliation(s)
| | - Vignan Yogendrakumar
- Faculty of Medicine, University of Ottawa, ON, Canada
- Department of Medicine, University of Ottawa and Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Dar Dowlatshahi
- Faculty of Medicine, University of Ottawa, ON, Canada
- Department of Medicine, University of Ottawa and Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
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14
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Yang Q, Sun H, Ma X, Tang L, Liu X, Huang X, Huang X, Chen Y, Tian D, Zeng X, Li N, Wang W, Fan D. Apolipoprotein E genotype is associated with island sign in lobar intracerebral hemorrhage. Front Neurol 2025; 16:1540307. [PMID: 40051977 PMCID: PMC11882416 DOI: 10.3389/fneur.2025.1540307] [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: 12/05/2024] [Accepted: 02/04/2025] [Indexed: 03/09/2025] Open
Abstract
Background The island sign is a predictor of hematoma expansion and worse outcomes in patients of spontaneous primary intracerebral hemorrhage (ICH). The biological mechanism of the island sign remains unclear, but its presence might be influenced by the underlying vasculopathy related to Apolipoprotein E (APOE) genotypes. Therefore, we aimed to research the association between APOE genotypes and the island sign. Methods We enrolled patients with primary supratentorial ICH in a multicenter cohort in northern China with baseline noncontrast CT images performed within 14 days after symptoms onset and APOE genotype available. The island sign was rated on the CT images according to validated criteria. Univariable and multivariable analyses were used to identify the association between APOE genotypes and the island sign, stratified by the ICH location. Results Among 460 patients enrolled, 122 were lobar ICH. In all patients, after adjusting for age, sex, hypertension, and time to CT, the presence of the APOE ε4 allele (OR 2.020, 95% CI 1.064-3.834, p = 0.032) was associated with the island sign, whereas the presence of the APOE ε2 allele (OR 0.734, 95% CI 0.339-1.593, p = 0.435) was not. After stratifying by ICH location, multivariable analysis revealed that APOE ε4 (OR 3.510, 95% CI 1.393-8.846, p = 0.008), rather than ε2 (OR 0.621, 95% CI 0.203-1.901, p = 0.404), was associated with the island sign in lobar ICH patients. Neither the ε2 nor the ε4 allele was associated with the island sign among nonlobar ICH patients. Conclusion The APOE ε4 allele was associated with the island sign in lobar ICH patients. Our findings indicate that the presence of the island sign may be influenced by the underlying vasculopathy related to APOE ε4, which increases amyloid deposition in the cerebral vasculature.
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Affiliation(s)
- Qiong Yang
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Haixin Sun
- Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xinran Ma
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Lu Tang
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Xiaolu Liu
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Xin Huang
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Xiao Huang
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Yong Chen
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Danyang Tian
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Xiangzhu Zeng
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Nan Li
- School of Public Health Department of Epidemiology and Biostatistics, Peking University, Beijing, China
| | - Wenzhi Wang
- Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Dongsheng Fan
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
- Key Laboratory for Neuroscience, National Health Commission/Ministry of Education, Peking University, Beijing, China
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15
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Yang Y, Lv M, Liu R, Yu P, Shen Z, Bai D, Zhao P, Yang J, Tang X, Yang H, Yong Y, Jiang G. Tungsten-based polyoxometalate nanoclusters as ferroptosis inhibitors modulating S100A8/A9-mediated iron metabolism pathway for managing intracerebral haemorrhage. J Nanobiotechnology 2025; 23:122. [PMID: 39972331 PMCID: PMC11837349 DOI: 10.1186/s12951-025-03149-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2024] [Accepted: 01/22/2025] [Indexed: 02/21/2025] Open
Abstract
BACKGROUND Intracerebral haemorrhage (ICH) is a devastating neurological disorder with high morbidity and mortality rates, largely owing to the lack of effective therapeutic strategies. Growing evidence has underscored the pivotal role of ferroptosis in intracerebral haemorrhage, and its contribution to neuronal death and exacerbation of brain injury, thus establishing it as a crucial target for therapeutic intervention. In recent years, polyoxometalate nanoclusters (NCs) have been applied in various neurodegenerative diseases, demonstrating neuroprotective effects. However, their impact on brain iron content and neurological function following ICH has yet to be reported. Here, we explored the potential of tungsten-based polyoxometalate (W-POM) NCs as ferroptosis inhibitors targeting the iron metabolic pathway mediated by S100A8/A9 for the treatment of ICH. RESULTS We successfully synthesized ultra-small reduced W-POM NCs that can rapidly cross the blood-brain barrier and are cleared through the kidney. In vitro experiments demonstrated that W-POM NCs exhibit significant and stable ROS scavenging activity while effectively alleviating iron overload and associated neuronal damage. In vivo, W-POM NCs treatment restored iron metabolism homeostasis, suppressed neuroinflammation and oxidative stress, ultimately alleviating severe neurological damage and motor deficits in ICH mice. Proteomic combined with bioinformatic analyses identified two core genes, S100A8 and S100A9, most associated with W-POM NCs intervention in ICH. Further experiments confirmed that W-POM NCs act by modulating the toll-like receptor 4/hepcidin/ferroportin signaling pathway, thereby regulating iron metabolism and reducing secondary brain injury. CONCLUSIONS This study pioneers the application of polyoxometalates in intracerebral haemorrhage, offering a novel and promising therapeutic approach for the management of ferroptosis-related brain injuries.
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Affiliation(s)
- Yang Yang
- Affiliated Hospital of North Sichuan Medical College, 1 South Maoyuan Road, Nanchong, Sichuan, 637000, China
- Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, Sichuan, China
| | - Mingzhu Lv
- Affiliated Hospital of North Sichuan Medical College, 1 South Maoyuan Road, Nanchong, Sichuan, 637000, China
- Key Laboratory of General Chemistry of the National Ethnic Affairs Commission, School of Chemistry and Environment, Southwest Minzu University, Chengdu, Sichuan, China
| | - Ruihong Liu
- Affiliated Hospital of North Sichuan Medical College, 1 South Maoyuan Road, Nanchong, Sichuan, 637000, China
- Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, Sichuan, China
| | - Peilu Yu
- Affiliated Hospital of North Sichuan Medical College, 1 South Maoyuan Road, Nanchong, Sichuan, 637000, China
- Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, Sichuan, China
| | - Ziyi Shen
- Affiliated Hospital of North Sichuan Medical College, 1 South Maoyuan Road, Nanchong, Sichuan, 637000, China
- Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, Sichuan, China
| | - Dazhang Bai
- Affiliated Hospital of North Sichuan Medical College, 1 South Maoyuan Road, Nanchong, Sichuan, 637000, China
- Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, Sichuan, China
| | - Peilin Zhao
- Affiliated Hospital of North Sichuan Medical College, 1 South Maoyuan Road, Nanchong, Sichuan, 637000, China
- Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, Sichuan, China
| | - Jin Yang
- Affiliated Hospital of North Sichuan Medical College, 1 South Maoyuan Road, Nanchong, Sichuan, 637000, China
| | - Xiaoping Tang
- Affiliated Hospital of North Sichuan Medical College, 1 South Maoyuan Road, Nanchong, Sichuan, 637000, China.
| | - Hanfeng Yang
- Affiliated Hospital of North Sichuan Medical College, 1 South Maoyuan Road, Nanchong, Sichuan, 637000, China.
| | - Yuan Yong
- Affiliated Hospital of North Sichuan Medical College, 1 South Maoyuan Road, Nanchong, Sichuan, 637000, China.
- Key Laboratory of General Chemistry of the National Ethnic Affairs Commission, School of Chemistry and Environment, Southwest Minzu University, Chengdu, Sichuan, China.
| | - Guohui Jiang
- Affiliated Hospital of North Sichuan Medical College, 1 South Maoyuan Road, Nanchong, Sichuan, 637000, China.
- Institute of Neurological Diseases, North Sichuan Medical College, Nanchong, Sichuan, China.
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16
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Veltkamp R, Haas K, Rücker V, Malzahn U, Heeger A, Kinzler D, Müller P, Rappard P, Rizos T, Schiefer J, Opherk C, Pfeilschifter W, Althaus K, Schellinger P, Gaida B, Gabriel MM, Royl G, Nabavi DG, Haeusler KG, Nolte CH, Wolf ME, Poli S, Sieber M, Mosimann P, Heuschmann PU, Purrucker JC. Association of oral anticoagulants with risk of brain haemorrhage expansion compared to no-anticoagulation. Neurol Res Pract 2025; 7:12. [PMID: 39934933 PMCID: PMC11921975 DOI: 10.1186/s42466-024-00358-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Accepted: 11/10/2024] [Indexed: 02/13/2025] Open
Abstract
BACKGROUND The impact of direct oral anticoagulants (DOAC) on haematoma size after intracerebral haemorrhage (ICH) compared to no-anticoagulation is controversial and prospective data are lacking. METHODS The investigator-initiated, multicentre, prospective RASUNOA-prime study enrolled patients with non-traumatic ICH and atrial fibrillation while on a DOAC, vitamin K antagonist (VKA) or no anticoagulation (non-OAC). Neuroimaging was reviewed centrally blinded to group allocation. Primary endpoint was haematoma expansion (≥ 6.5 ml or ≥ 33%, any new intraventricular blood or an increase in modified Graeb score by ≥ 2 points) between baseline and follow-up scan within 72 h after symptom onset. RESULTS Of 1,440 patients screened, 951 patients with ICH symptom onset less than 24 h before admission were enrolled. Baseline scans were performed at a median of 2 h (IQR 1-6) after symptom onset. Neurological deficit and median baseline haematoma volumes (11 ml; IQR 4-39) did not differ among 577 DOAC, 251 VKA and 123 non-OAC patients. Haematoma expansion was observed in DOAC patients in 142/356 (39.9, 95%-CI 34.8-45.0%), VKA in 47/155 (30.3, 95-CI 23.1%-37.6%), versus non-OAC in 22/74 (29.7, 19.3-40.1%). Unspecific reversal agents in DOAC-ICH (212/356, 59.6%) did not affect the haematoma expansion rate compared to no-antagonization. CONCLUSION Baseline haematoma volume and risk of haematoma expansion did not differ statistically significantly in patients with and without DOAC.
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Affiliation(s)
- Roland Veltkamp
- Department of Brain Sciences, Imperial College London, London, UK.
- Department of Neurology, Alfried-Krupp Hospital, Essen, Germany.
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany.
| | - Kirsten Haas
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Würzburg, Germany
| | - Viktoria Rücker
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Würzburg, Germany
| | - Uwe Malzahn
- Clinical Trial Center, University Hospital Würzburg, Würzburg, Germany
| | - Adrian Heeger
- Department of Neurology, Alfried-Krupp Hospital, Essen, Germany
| | - David Kinzler
- Department of Neurology, Alfried-Krupp Hospital, Essen, Germany
| | - Patrick Müller
- Department of Neurology, Alfried-Krupp Hospital, Essen, Germany
| | - Pascal Rappard
- Department of Neurology, Alfried-Krupp Hospital, Essen, Germany
| | - Timolaos Rizos
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - Johannes Schiefer
- Department of Neurology, University Hospital RWTH Aachen, Aachen, Germany
| | - Christian Opherk
- Department of Neurology, SLK-Kliniken Heilbronn, Heilbronn, Germany
| | - Waltraud Pfeilschifter
- Department of Neurology, University Hospital Frankfurt, Goethe-University, Frankfurt Am Main, Germany
- Department of Neurology, Klinikum Lüneburg, Lüneburg, Germany
| | | | - Peter Schellinger
- Department of Neurology and Neurogeriatrics, Johannes Wesling University Hospital Minden, Minden, Germany
- Universitätsklinikum Ruhr-Universität Bochum, Bochum, Germany
| | - Bernadette Gaida
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | | | - Georg Royl
- Neurovascular Center, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | | | - Karl Georg Haeusler
- Department of Neurology, Universitätsklinikum Würzburg (UKW), Würzburg, Germany
| | - Christian H Nolte
- Center for Stroke Research Berlin (CSB), Berlin, Germany
- Department of Neurology With Experimental Neurology, Berlin Institute of Health (BIH), Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Marc E Wolf
- Department of Neurology, Klinikum Stuttgart, Stuttgart, Germany
| | - Sven Poli
- Department of Neurology & Stroke, Tübingen University Hospital, Tübingen, Germany
- Hertie Institute for Clinical Brain Research, Tübingen University Hospital, Tübingen, Germany
| | - Marilen Sieber
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Würzburg, Germany
| | - Pascal Mosimann
- Department of Neuroradiology, Toronto Western Hospital Division of Neuroradiology, Toronto, Canada
| | - Peter U Heuschmann
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Würzburg, Germany
- Clinical Trial Center Würzburg, University Hospital Würzburg, Würzburg, Germany
- Institute for Medical Data Science, University Hospital Würzburg, Würzburg, Germany
| | - Jan C Purrucker
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
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17
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Wu Z, Wang Q, Xiong Z. Causal relations between immune cells and cerebral hemorrhage: a bidirectional Mendelian randomization study. Int J Neurosci 2025:1-14. [PMID: 39918327 DOI: 10.1080/00207454.2025.2457042] [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: 12/19/2024] [Revised: 01/17/2025] [Accepted: 01/17/2025] [Indexed: 02/12/2025]
Abstract
BACKGROUND Previous studies have shown that an increased number of immune cells is closely associated with the onset and course changes of intracerebral hemorrhage, but the exact causal relationship has not been clarified. The aim of this study was to investigate the causal relationship between immune cells and intracerebral hemorrhage by a two-way Mendelian randomization method. METHODS Two sets of SNPs were used as instrumental variables and two-way Mendelian randomization analyses were performed and leave-one-out method were used to assess the validity and heterogeneity of the included genetic variation instruments. The level of multiplicity and heterogeneity of the included genetic variance instruments was assessed. RESULTS The results showed a clear causal relationship between three immune cells and intracerebral hemorrhage, and no heterogeneity between SNPs related to intracerebral hemorrhage, while scatterplot and funnel plot confirmed that the causality was less likely to be biased; MR-Egger results suggested that no genetic pleiotropy was found. Leave-one-out analysis was applied to suggest that the MR analysis results for a single SNP were robust; meanwhile, Meta-analysis was applied to combine the two intracerebral hemorrhage datasets, and the analysis results suggested that in the fixed-effects model and random-effects model, the immunocyte CD66b on Granulocytic Myeloid-Derived Suppressor Cells and other three immune cells were significantly causally associated with intracerebral hemorrhage, while the heterogeneity test suggested that there was no significant difference between the different datasets. CONCLUSIONS The present study found a significant causal relationship between specific immune cell phenotypes and intracerebral hemorrhage by Mendelian randomization analysis.
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Affiliation(s)
- Zhimin Wu
- Department of Neurosurgery, The Central hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qiqi Wang
- Department of Neurosurgery, The Central hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zuojun Xiong
- Department of Neurosurgery, The Central hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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18
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Zhang K, Yang B, Wei L, Zhou X, Han F, Meng J, Zhao X, Zhang B, Chen D, Wang P. Differential Risk Factors for Hematoma Expansion in Deep and Lobar Intracerebral Hemorrhage. Neurocrit Care 2025:10.1007/s12028-025-02218-z. [PMID: 39904873 DOI: 10.1007/s12028-025-02218-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2024] [Accepted: 01/15/2025] [Indexed: 02/06/2025]
Abstract
BACKGROUND Understanding the risk factors for hematoma expansion (HE) in different regions of intracerebral hemorrhage (ICH) can help in the development of more accurate HE prediction tools and in implementing more effective clinical treatment interventions. This study aims to investigate the risk factors for HE in patients with lobar and deep ICH. METHODS A retrospective analysis was conducted on 558 cases of primary supratentorial ICH from Tongji Hospital Affiliated to Tongji University. Patients were categorized into lobar ICH and deep ICH groups. Differential analysis of ICH characteristics at different locations was performed, followed by subgroup analysis based on HE occurrence. Binary logistic regression was used to identify independent risk factors for HE in each group. RESULTS Among the 404 patients with ICH who underwent follow-up noncontrast computed tomography (NCCT) scans, the proportion with HE was similar in the deep ICH group (23.2%) and the lobar ICH group (22.7%). Binary logistic regression analysis revealed that fluid level (odds ratio [OR] 4.77, 95% confidence interval [CI] 1.74-13.06), admission Glasgow Coma Scale score (OR 0.87, 95% CI 0.80-0.96), and time from onset to NCCT examination (OR 0.84, 95% CI 0.75-0.94) were independently associated with HE in the deep ICH group. In the lobar ICH group, irregular shape (OR 4.96, 95% CI 1.37-18.01) and fibrinogen level (OR 0.42, 95% CI 0.21-0.86) were significant risk factors. CONCLUSIONS Fluid level, low admission Glasgow Coma Scale score, and shorter time from onset to NCCT are independent predictors of HE in deep ICH, whereas irregular shape and low fibrinogen levels are independent predictors of HE in lobar ICH. These findings are of great significance for elucidating the mechanisms underlying HE in different locations of ICH and for developing precise predictive models of HE.
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Affiliation(s)
- Kangwei Zhang
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China
| | - Baoqing Yang
- Department of Cardiopulmonary Rehabilitation, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Shanghai, China
| | - Lai Wei
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China
| | - Xiang Zhou
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China
| | - Fushi Han
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China
| | - Jinxi Meng
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China
| | - Xingyu Zhao
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China
| | - Bo Zhang
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China
| | - Daxiao Chen
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China
| | - Peijun Wang
- Department of Medical Imaging, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, China.
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19
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Puissant MM, Mayer SA, Goldstein JN. Emergency Priorities in the Treatment of Cerebral Hemorrhage: Code-Intracerebral Hemorrhage. Neurol Clin 2025; 43:127-139. [PMID: 39547736 DOI: 10.1016/j.ncl.2024.07.007] [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] [Indexed: 11/17/2024]
Abstract
The focus of acute treatment of intracerebral hemorrhage (ICH) includes acute blood pressure management, prevention of secondary hematoma expansion through anticoagulation reversal, and neurosurgical interventions for select patients. Recent evidence points to ultra-early acute ICH bundles, implementing multiple therapies in parallel, as the most impactful therapy in reducing morbidity and mortality. It is time for widespread implementation of formalized care bundles in ICH, including specific metrics for time to treatment and criteria for neurosurgical therapy. No longer just "Code Stroke," it is time for "Code ICH.".
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Affiliation(s)
- Madeleine M Puissant
- Tufts Medical School, Boston, MA, USA; Emergency Department, Maine Medical Center, MHIR-CIPHR, 321 Brackett Street, Portland, ME 04102, USA.
| | - Stephan A Mayer
- New York Medical College; Westchester Medical Center Health Network, Taylor Pavillion Room E119, 100 Woods Road, Valhalla, NY 10595, USA
| | - Joshua N Goldstein
- Department of Emergency Medicine, Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
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20
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Pensato U, Tanaka K, Ospel JM, Aviv RI, Rodriguez-Luna D, Hill MD, Molina CA, Silva Blas Y, Boulanger JM, Gord G, Bhatia R, Padma V, Roy J, Dzialowski I, Kase CS, Kobayashi A, Dowlatshahi D, Demchuk AM. Validation of the Black-&-White sign to predict intracerebral hematoma expansion in the multi-center PREDICT study cohort. Int J Stroke 2025:17474930241307466. [PMID: 39623688 DOI: 10.1177/17474930241307466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2025]
Abstract
BACKGROUND Hematoma expansion (HE) occurs in one-fourth to one-third of patients with acute intracerebral hemorrhage (ICH) and is associated with worse outcomes. The co-localization of non-contrast computed tomography (NCCT) hypodensity and computed tomography angiography (CTA) spot sign, the so-called Black-&-White (B&W) sign, has been shown to have high predictive accuracy for HE in a single-center cohort. In this analysis, we aimed to validate the predictive accuracy of the B&W sign for HE in a multicenter cohort. METHODS Acute ICH patients from the multicenter, observational PREDICT study (Predicting Hematoma Growth and Outcome in Intracerebral Hemorrhage Using Contrast Bolus CT) were included. Outcomes included HE (⩾6 mL or ⩾33%) and severe HE (⩾12.5 mL or >66%). The association between B&W sign and outcomes was assessed with multivariable regression analyses adjusted for baseline factors. RESULTS Three hundred four patients were included, with 106 (34.9%) showing HE. The spot sign was present in 76 (25%) patients, the hypodensity sign in 119 (39.1%), and the B&W sign in 29 (9.5%). In the stratum with positive spot signs, patients with B&W signs experienced more frequent HE (79.3% vs 46.8%, p = 0.008), hematoma absolute growth (19.1 mL (interquartile range (IQR) = 6.4-40) vs 3.2 mL (IQR= 0-23.3), p = 0.018), and hematoma relative growth (92% (IQR = 16-151%) vs 24% (IQR= 0-69%), p = 0.038). There was a strong association between B&W sign and HE (adjusted odds ratio (OR) = 7.83 (95% confidence interval (CI) = 2.93-20.91)) and severe HE (adjusted OR = 5.67 (95% CI = 2.41-13.36)). The B&W sign yielded a positive predictive value of 79.3% (IQR = 61.7-90.1) for HE. Inter-rater agreement was moderate (k = 0.54). CONCLUSION The B&W sign is associated with an increased likelihood of HE and severe HE by approximately eightfold and fivefold, respectively.
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Affiliation(s)
- Umberto Pensato
- IRCCS Humanitas Research Hospital, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Koji Tanaka
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Johanna M Ospel
- Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - Richard I Aviv
- Department of Radiology, Radiation Oncology and Medical Physics, University of Ottawa, Ottawa, ON, Canada
| | | | - Micheal D Hill
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - Carlos A Molina
- Department of Neurology, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Yolanda Silva Blas
- Cerebrovascular Pathology Research Group, Stroke Unit, Department of Neurology, Hospital Universitari Dr. Josep Trueta de Girona, Girona Biomedical Research Institute (IDIBGI), Girona, Spain
| | - Jean-Martin Boulanger
- Department of Medicine, Charles LeMoyne Hospital, University of Sherbrooke, Longueuil, Canada
| | - Gubitz Gord
- Department of Neurology, Dalhousie University, Halifax, NS, Canada
| | - Rohit Bhatia
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | - Vasantha Padma
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | | | - Imanuel Dzialowski
- Department of Neurology, Elblandklinikum Meissen Academic Teaching Hospital of the Technische University, Dresden, Germany
| | - Carlos S Kase
- Department of Neurology, Boston Medical Center, Boston, MA, USA
| | - Adam Kobayashi
- Interventional Stroke and Cerebrovascular Treatment Center and 2nd Department of Neurology, Institute of Psychiatry and Neurology, Warsaw, Poland
| | - Dar Dowlatshahi
- Department of Medicine, Division of Neurology, University of Ottawa, Ottawa, ON, Canada
| | - Andrew M Demchuk
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Department of Radiology, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
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21
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Wu W, Li C, Men D, Li X, Huang B. Early decompressive surgery improves long-term prognosis in patients with intracerebral hemorrhage. Technol Health Care 2025; 33:185-194. [PMID: 39177621 DOI: 10.3233/thc-240766] [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] [Indexed: 08/24/2024]
Abstract
BACKGROUND Multiple studies have shown that early decompressive surgery in patients with intracerebral hemorrhage can effectively limit hematoma expansion, reduce perihematomal edema, and improve prognosis. However, these studies are limited by small sample sizes and short follow-up times. OBJECTIVE To analyze the effect of early decompressive surgery on the long-term prognosis of patients with cerebral hemorrhage and identify the influencing factors for poor prognosis. METHODS A retrospective analysis of 78 patients with cerebral hemorrhage admitted between January 2020 and December 2022 was conducted. Patients were divided into early and delayed surgery groups for comparison of outcomes such as mortality rate, modified Rankin Scale score, and Short Form-36 scores. Additionally, factors influencing long-term prognosis were analyzed through logistic regression based on significant differences observed between groups. RESULTS The early decompressive surgery group showed superior outcomes with lower mortality rates, modified Rankin Scale (mRS) scores, hematoma expansion rates, and perihematomal edema volumes compared to the delayed surgery group (P< 0.05). Additionally, age, preoperative Glasgow Coma Scale (GCS) score, preoperative hematoma volume, and a history of hypertension or diabetes were identified as independent prognostic factors for patients with cerebral hemorrhage, with odds ratios (ORs) greater than 1. CONCLUSIONS Early decompressive surgery can improve the long-term prognosis and quality of life of patients with cerebral hemorrhage, reduce mortality rates, and decrease hematoma expansion and perihematomal edema. Older patients, those with higher preoperative hematoma volume and GCS score, and those with coexisting hypertension and diabetes should be given special attention to decrease the occurrence of adverse prognosis.
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22
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Huan J, Yao M, Ma Y, Mei F, Liu Y, Ma L, Luo X, Liu J, Xu J, You C, Xiang H, Zou K, Liang X, Hu X, Li L, Sun X. Surgical interventions for spontaneous supratentorial intracerebral haemorrhage: a systematic review and network meta-analysis. EClinicalMedicine 2025; 79:102999. [PMID: 39720609 PMCID: PMC11667076 DOI: 10.1016/j.eclinm.2024.102999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Revised: 11/21/2024] [Accepted: 11/25/2024] [Indexed: 12/26/2024] Open
Abstract
Background Surgical interventions for spontaneous supratentorial intracerebral haemorrhage (ICH) include conventional craniotomy (CC), decompressive craniectomy (DC), and minimally invasive surgery (MIS), with the latter encompassing endoscopic surgery (ES) and minimally invasive puncture surgery (MIPS). However, the superiority of surgery over conservative medical treatment (CMT) and the comparative benefits of different surgical procedures remain unclear. We aimed to evaluate the efficacy and safety of various surgical interventions for treating ICH. Methods In this systematic review and network meta-analysis, we searched PubMed, Cochrane Central Register of Controlled Trials, Embase, and ClinicalTrials.gov from inception to June 16, 2024. Eligible studies were randomised controlled trials (RCTs) comparing surgery (i.e., CC, ES, MIPS, or DC) with CMT or comparing different types of surgeries in patients with spontaneous supratentorial ICH. Paired reviewers independently screened citations, assessed the risk of bias of included trials, and extracted data. Primary outcomes were good functional outcome and mortality at 6 months. Secondary outcomes were good functional outcome and mortality at different follow-up times, complications (rebleeding, brain infection, pulmonary infection), and hematoma evacuation rate. The frequentist pairwise and network meta-analysis (NMA) were performed. The GRADE approach was used to evaluate the certainty of evidence. This study is registered with PROSPERO, CRD42024518961. Findings Of the 8573 total records identified by our searches, 31 studies (6448 patients) were eligible for the systematic review and network analysis. Compared with CMT, moderate certainty evidence showed that surgery improved good functional outcome (risk ratio [RR] 1.31, 95% CI 1.13-1.52; risk difference [RD] 9.1%, 95% CI 3.8 to 15.3; I 2 = 36%) and reduced mortality (RR 0.82, 95% CI 0.71-0.95; RD -5.1%, 95% CI -8.2 to -1.4; I 2 = 14%). Moderate certainty evidence from NMA suggested that compared with CMT, both ES (RR 1.51, 95% CI 1.18-1.93; RD 9.4%, 95% CI 3.3-17.1) and MIPS (RR 1.48, 95% CI 1.24-1.76; RD 15.7%, 95% CI 7.9-24.9) improved good functional outcome at 6 months, and both ES (RR 0.66, 95% CI 0.52-0.85; RD -17.0%, 95% CI -24.0 to -7.5) and CC (RR 0.75, 95% CI 0.60-0.94; RD -6.3%, 95% CI -10.1 to -1.5) reduced mortality at 6 months, whereas MIPS and DC showed a trend, although not statistically significant, towards a reduction in mortality. ES and MIPS also reduced pulmonary infection risk (ES RR 0.39, 95% CI 0.23-0.69; MIPS RR 0.35, 95% CI 0.20-0.60; RD -5.3%, 95% CI -6.6 to -3.3). ES showed higher hematoma evacuation than CC (MD: 7.03, 95% CI: 3.42-10.65; I 2 = 94%). No difference in rebleeding or brain infection was found between CC and MIS. Interpretation Current moderate certainty evidence suggested that surgical intervention of spontaneous supratentorial ICH, may be associated with improved functional outcomes and a reduced risk of death at 6 months. The advantages of surgical haematoma removal are particularly pronounced when MIS including ES and MIPS are employed. ES could improve functional outcomes, reduce the risk of mortality and pulmonary infection, and have a high hematoma evacuation rate, suggesting that it might be an optimal surgical treatment. Funding National Natural Science Foundation of China, National Science Fund for Distinguished Young Scholars, Fundamental Research Funds for the Central Public Welfare Research Institutes, and 1·3·5 project for disciplines of excellence, West China Hospital, Sichuan University.
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Affiliation(s)
- Jiayidaer Huan
- Department of Neurosurgery and Chinese Evidence-Based Medicine Centre and Cochrane China Centre and MAGIC China Centre and IDEAL China Centre, West China Hospital, Sichuan University, Chengdu, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, West China Hospital, Sichuan University, Chengdu, China
- Sichuan Centre of Technology Innovation for Real World Data, West China Hospital, Sichuan University, Chengdu, China
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Minghong Yao
- Department of Neurosurgery and Chinese Evidence-Based Medicine Centre and Cochrane China Centre and MAGIC China Centre and IDEAL China Centre, West China Hospital, Sichuan University, Chengdu, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, West China Hospital, Sichuan University, Chengdu, China
- Sichuan Centre of Technology Innovation for Real World Data, West China Hospital, Sichuan University, Chengdu, China
| | - Yu Ma
- Department of Neurosurgery and Chinese Evidence-Based Medicine Centre and Cochrane China Centre and MAGIC China Centre and IDEAL China Centre, West China Hospital, Sichuan University, Chengdu, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, West China Hospital, Sichuan University, Chengdu, China
- Sichuan Centre of Technology Innovation for Real World Data, West China Hospital, Sichuan University, Chengdu, China
| | - Fan Mei
- Department of Neurosurgery and Chinese Evidence-Based Medicine Centre and Cochrane China Centre and MAGIC China Centre and IDEAL China Centre, West China Hospital, Sichuan University, Chengdu, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, West China Hospital, Sichuan University, Chengdu, China
- Sichuan Centre of Technology Innovation for Real World Data, West China Hospital, Sichuan University, Chengdu, China
| | - Yanmei Liu
- Department of Neurosurgery and Chinese Evidence-Based Medicine Centre and Cochrane China Centre and MAGIC China Centre and IDEAL China Centre, West China Hospital, Sichuan University, Chengdu, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, West China Hospital, Sichuan University, Chengdu, China
- Sichuan Centre of Technology Innovation for Real World Data, West China Hospital, Sichuan University, Chengdu, China
| | - Lu Ma
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaochao Luo
- Department of Neurosurgery and Chinese Evidence-Based Medicine Centre and Cochrane China Centre and MAGIC China Centre and IDEAL China Centre, West China Hospital, Sichuan University, Chengdu, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, West China Hospital, Sichuan University, Chengdu, China
- Sichuan Centre of Technology Innovation for Real World Data, West China Hospital, Sichuan University, Chengdu, China
| | - Jiali Liu
- Department of Neurosurgery and Chinese Evidence-Based Medicine Centre and Cochrane China Centre and MAGIC China Centre and IDEAL China Centre, West China Hospital, Sichuan University, Chengdu, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, West China Hospital, Sichuan University, Chengdu, China
- Sichuan Centre of Technology Innovation for Real World Data, West China Hospital, Sichuan University, Chengdu, China
| | - Jianguo Xu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Chao You
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Hunong Xiang
- Department of Neurosurgery and Chinese Evidence-Based Medicine Centre and Cochrane China Centre and MAGIC China Centre and IDEAL China Centre, West China Hospital, Sichuan University, Chengdu, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, West China Hospital, Sichuan University, Chengdu, China
- Sichuan Centre of Technology Innovation for Real World Data, West China Hospital, Sichuan University, Chengdu, China
| | - Kang Zou
- Department of Neurosurgery and Chinese Evidence-Based Medicine Centre and Cochrane China Centre and MAGIC China Centre and IDEAL China Centre, West China Hospital, Sichuan University, Chengdu, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, West China Hospital, Sichuan University, Chengdu, China
- Sichuan Centre of Technology Innovation for Real World Data, West China Hospital, Sichuan University, Chengdu, China
| | - Xiao Liang
- Department of Encephalopathy, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xin Hu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Ling Li
- Department of Neurosurgery and Chinese Evidence-Based Medicine Centre and Cochrane China Centre and MAGIC China Centre and IDEAL China Centre, West China Hospital, Sichuan University, Chengdu, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, West China Hospital, Sichuan University, Chengdu, China
- Sichuan Centre of Technology Innovation for Real World Data, West China Hospital, Sichuan University, Chengdu, China
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Xin Sun
- Department of Neurosurgery and Chinese Evidence-Based Medicine Centre and Cochrane China Centre and MAGIC China Centre and IDEAL China Centre, West China Hospital, Sichuan University, Chengdu, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, West China Hospital, Sichuan University, Chengdu, China
- Sichuan Centre of Technology Innovation for Real World Data, West China Hospital, Sichuan University, Chengdu, China
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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23
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Yu F, Yang M, He C, Yang Y, Peng Y, Yang H, Lu H, Liu H. CT radiomics combined with clinical and radiological factors predict hematoma expansion in hypertensive intracerebral hemorrhage. Eur Radiol 2025; 35:6-19. [PMID: 38990325 PMCID: PMC11632042 DOI: 10.1007/s00330-024-10921-2] [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: 11/27/2023] [Revised: 04/24/2024] [Accepted: 05/19/2024] [Indexed: 07/12/2024]
Abstract
OBJECTIVES This study aimed to establish a hematoma expansion (HE) prediction model for hypertensive intracerebral hemorrhage (HICH) patients by combining CT radiomics, clinical information, and conventional imaging signs. METHODS A retrospective continuous collection of HICH patients from three medical centers was divided into a training set (n = 555), a validation set (n = 239), and a test set (n = 77). Extract radiomics features from baseline CT plain scan images and combine them with clinical information and conventional imaging signs to construct radiomics models, clinical imaging sign models, and hybrid models, respectively. The models will be evaluated using the area under the curve (AUC), clinical decision curve analysis (DCA), net reclassification index (NRI), and integrated discrimination improvement (IDI). RESULTS In the training, validation, and testing sets, the radiomics model predicts an AUC of HE of 0.885, 0.827, and 0.894, respectively, while the clinical imaging sign model predicts an AUC of HE of 0.759, 0.725, and 0.765, respectively. Glasgow coma scale score at admission, first CT hematoma volume, irregular hematoma shape, and radiomics score were used to construct a hybrid model, with AUCs of 0.901, 0.838, and 0.917, respectively. The DCA shows that the hybrid model had the highest net profit rate. Compared with the radiomics model and the clinical imaging sign model, the hybrid model showed an increase in NRI and IDI. CONCLUSION The hybrid model based on CT radiomics combined with clinical and radiological factors can effectively individualize the evaluation of the risk of HE in patients with HICH. CLINICAL RELEVANCE STATEMENT CT radiomics combined with clinical information and conventional imaging signs can identify HICH patients with a high risk of HE and provide a basis for clinical-targeted treatment. KEY POINTS HE is an important prognostic factor in patients with HICH. The hybrid model predicted HE with training, validation, and test AUCs of 0.901, 0.838, and 0.917, respectively. This model provides a tool for a personalized clinical assessment of early HE risk.
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Affiliation(s)
- Fei Yu
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi, China
- Department of Medical Imaging, Chongqing Emergency Medical Center, Chongqing University Central Hospital, The Fourth People's Hospital of Chongqing, Chongqing, China
| | - Mingguang Yang
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi, China
- Department of Medical Imaging, Chongqing Emergency Medical Center, Chongqing University Central Hospital, The Fourth People's Hospital of Chongqing, Chongqing, China
| | - Cheng He
- Department of Medical Imaging, Chongqing Emergency Medical Center, Chongqing University Central Hospital, The Fourth People's Hospital of Chongqing, Chongqing, China
| | - Yanli Yang
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi, China
| | - Ying Peng
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi, China
| | - Hua Yang
- Department of Medical Imaging, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China
| | - Hong Lu
- Department of Radiology, The Seventh People's Hospital of Chongqing, The Central Hospital Affiliated to Chongqing University of Technology, Chongqing, China
| | - Heng Liu
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi, China.
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24
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Yu W, Alexander MJ. Spontaneous intracerebral hemorrhage: Recent advances and critical thinking on future clinical trial design. Chin Med J (Engl) 2024; 137:2899-2906. [PMID: 39654449 PMCID: PMC11706597 DOI: 10.1097/cm9.0000000000003408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Indexed: 01/11/2025] Open
Affiliation(s)
- Wengui Yu
- Department of Neurology, University of California Irvine, Irvine, CA, USA
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25
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Wright SA, Lennon R, Greenhalgh AD. Basement membranes' role in immune cell recruitment to the central nervous system. J Inflamm (Lond) 2024; 21:53. [PMID: 39707430 DOI: 10.1186/s12950-024-00426-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2024] [Accepted: 12/10/2024] [Indexed: 12/23/2024] Open
Abstract
Basement membranes form part of the extracellular matrix (ECM), which is the structural basis for all tissue. Basement membranes are cell-adherent sheets found between cells and vascular endothelia, including those of the central nervous system (CNS). There is exceptional regional specialisation of these structures, both in tissue organisation and regulation of tissue-specific cellular processes. Due to their location, basement membranes perform a key role in immune cell trafficking and therefore are important in inflammatory processes causing or resulting from CNS disease and injury. This review will describe basement membranes in detail, with special focus on the brain. We will cover how genetic changes drive brain pathology, describe basement membranes' role in immune cell recruitment and how they respond to various brain diseases. Understanding how basement membranes form the junction between the immune and central nervous systems will be a major advance in understanding brain disease.
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Affiliation(s)
- Shaun A Wright
- Lydia Becker Institute of Immunology and Inflammation, Division, Division of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Science, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Rachel Lennon
- Cell Matrix Biology & Regenerative Medicine and Wellcome Centre for Cell-Matrix Research, School of Biological Science, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Andrew D Greenhalgh
- Lydia Becker Institute of Immunology and Inflammation, Division, Division of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Science, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
- The University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
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26
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Mithoowani S, Bungard T, Castellucci L, Crowther M, de Wit K, Dowlatshahi D, Forbes N, Lin K, Siegal DM. Multidisciplinary Expert Guidance for the Management of Severe Bleeding on Oral Anticoagulation: An Algorithm for Practicing Clinicians. Thromb Haemost 2024. [PMID: 39515380 DOI: 10.1055/a-2464-2887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
Bleeding complications associated with oral anticoagulant (OAC) frequently lead to emergency department visits and hospitalization. Short-term all-cause mortality after severe bleeding is substantial ranging from approximately 10% for gastrointestinal bleeding (the most frequent single site) to approximately 50% for intracranial bleeding. A protocol for multidisciplinary approach to bleeding is needed to (i) ensure rapid identification of patients at risk of adverse outcomes, (ii) optimize delivery of supportive measures, (iii) treat the source of bleeding, and (iv) administer anticoagulant reversal or hemostatic therapies judiciously for patients most likely to benefit. We convened a multidisciplinary panel of experts (emergency medicine, gastroenterology, general internal medicine, hematology, neurology, pharmacy, thrombosis) to review the literature and provide practical guidance including a corresponding algorithm for use at the point of care to assist clinicians in the management of patients with acute severe OAC-related bleeding.
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Affiliation(s)
| | - Tammy Bungard
- Department of Medicine, University of Alberta, Edmonton, Canada
| | - Lana Castellucci
- Department of Medicine, University of Ottawa, Ottawa, Canada
- Inflammation and Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Mark Crowther
- Department of Medicine, McMaster University, Hamilton, Canada
| | - Kerstin de Wit
- Department of Emergency Medicine, Queen's University, Kingston, Canada
| | - Dar Dowlatshahi
- Department of Medicine, University of Ottawa, Ottawa, Canada
- Inflammation and Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Nauzer Forbes
- Department of Medicine, University of Calgary, Calgary, Canada
| | - Katie Lin
- Department of Medicine, University of Calgary, Calgary, Canada
| | - Deborah M Siegal
- Department of Medicine, University of Ottawa, Ottawa, Canada
- Inflammation and Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, Canada
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27
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Ren N, Zhang H, Li T, Ji H, Zhang Z, Wu H. ATP5J regulates microglial activation via mitochondrial dysfunction, exacerbating neuroinflammation in intracerebral hemorrhage. Front Immunol 2024; 15:1509370. [PMID: 39735538 PMCID: PMC11671693 DOI: 10.3389/fimmu.2024.1509370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2024] [Accepted: 12/02/2024] [Indexed: 12/31/2024] Open
Abstract
Microglial-mediated neuroinflammation is crucial in the pathophysiological mechanisms of secondary brain injury (SBI) following intracerebral hemorrhage (ICH). Mitochondria are central regulators of inflammation, influencing key pathways such as alternative splicing, and play a critical role in cell differentiation and function. Mitochondrial ATP synthase coupling factor 6 (ATP5J) participates in various pathological processes, such as cell proliferation, migration, and inflammation. However, the role of ATP5J in microglial activation and neuroinflammation post-ICH is poorly understood. This study aimed to investigate the effects of ATP5J on microglial activation and subsequent neuroinflammation in ICH and to elucidate the underlying mechanisms. We observed that ATP5J was upregulated in microglia after ICH. AAV9-mediated ATP5J overexpression worsened neurobehavioral deficits, disrupted the blood-brain barrier, and increased brain water content in ICH mice. Conversely, ATP5J knockdown ameliorated these effects. ATP5J overexpression also intensified microglial activation, neuronal apoptosis, and inflammatory responses in surrounding tissues post-ICH. ATP5J impaired microglial dynamics and reduced the proliferation and migration of microglia to injury sites. We used oxyhemoglobin (OxyHb) to stimulate BV2 cells and model ICH in vitro. Further in vitro studies showed that ATP5J overexpression enhanced OxyHb-induced microglial functional transformation. Mechanistically, ATP5J silencing reversed dynamin-related protein 1 (Drp1) and mitochondrial fission 1 protein (Fis1) upregulation in microglia post-OxyHb induction; reduced mitochondrial overdivision, excessive mitochondrial permeability transition pore opening, and reactive oxygen species production; restored normal mitochondrial ridge morphology; and partially restored mitochondrial respiratory electron transport chain activity. ATP5J silencing further alleviated OxyHb-induced mitochondrial dysfunction by regulating mitochondrial metabolism. Our results indicate that ATP5J is a key factor in regulating microglial functional transformation post-ICH by modulating mitochondrial dysfunction and metabolism, thereby positively regulate neuroinflammation. By inhibiting ATP5J, SBI following ICH could be prevented. Therefore, ATP5J could be a candidate for molecular and therapeutic target exploration to alleviate neuroinflammation post-ICH.
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Affiliation(s)
| | | | | | | | - Zhen Zhang
- Department of Pathology, First Clinical Hospital, Harbin Medical University, Harbin, China
| | - He Wu
- Department of Pathology, First Clinical Hospital, Harbin Medical University, Harbin, China
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28
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Jørgensen CM, Boe NJ, Hald SM, Meyer-Kristensen F, Norlén MM, Ovesen C, Möller S, Høyer BB, Bojsen JA, Elhakim MT, Harbo FSG, Al-Shahi Salman R, Goldstein LB, Hallas J, García Rodríguez LA, Selim M, Gaist D. Association of Prior Antithrombotic Drug Use with 90-Day Mortality After Intracerebral Hemorrhage. Clin Epidemiol 2024; 16:837-848. [PMID: 39654831 PMCID: PMC11627103 DOI: 10.2147/clep.s493499] [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: 08/28/2024] [Accepted: 11/27/2024] [Indexed: 12/12/2024] Open
Abstract
Purpose To estimate the strength of association between use of antithrombotics (AT) drugs with survival after spontaneous intracerebral hemorrhage (s-ICH) comparing oral anticoagulant (OAC) or platelet antiaggregants (PA) with no AT use and in active comparator analyses OAC vs PA, direct oral anticoagulant (DOAC) vs vitamin K antagonist (VKA), and clopidogrel vs aspirin. Patients and Methods We identified patients ≥55 years with a first-ever s-ICH between 2015 and 2018 in Southern Denmark (population 1.2 million). From this population, patients who had used an AT at the time of ICH were identified and classified as OAC or PA vs no AT (reference group), and for active comparator analyses as OAC vs PA (reference group), DOAC vs VKA (reference group), or clopidogrel vs aspirin (reference group). We calculated adjusted relative risks (aRRs) and corresponding [95% confidence intervals] for 90-day all-cause mortality with adjustments for potential confounders. Results Among 1043 patients who had s-ICH, 206 had used an OAC, 270 a PA, and 428 had no AT use. The adjusted 90-day mortality was higher in OAC- (aRR 1.68 [1.39-2.02]) and PA-users (aRR 1.21 [1.03-1.42]), compared with no AT. Mortality was higher in OAC- (aRR 1.19 [1.05-1.36]) vs PA-users. In analyses by antithrombotic drug type, 88 used a DOAC, 136 a VKA, 111 clopidogrel, and 177 aspirin. Mortality was lower among DOAC- vs VKA-users (aRR 0.82 [0.68-0.99]), but similar between clopidogrel vs aspirin users (aRR 1.04 [0.87-1.24]). Conclusion In this unselected cohort from a geographically defined Danish population, 90-day mortality after s-ICH was higher in patients with prior use of an OAC compared with no AT use or patients using a PA. Mortality was slightly lower for patients using a DOAC than a VKA. Mortality was also higher in PA- vs no AT-users, but there were no differences in mortality between clopidogrel vs aspirin.
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Affiliation(s)
- Christian Mistegård Jørgensen
- Research Unit for Neurology, Odense University Hospital, Odense, Denmark; University of Southern Denmark, Odense, Denmark
| | - Nils Jensen Boe
- Research Unit for Neurology, Odense University Hospital, Odense, Denmark; University of Southern Denmark, Odense, Denmark
| | - Stine Munk Hald
- Research Unit for Neurology, Odense University Hospital, Odense, Denmark; University of Southern Denmark, Odense, Denmark
| | - Frederik Meyer-Kristensen
- Research Unit for Neurology, Odense University Hospital, Odense, Denmark; University of Southern Denmark, Odense, Denmark
| | - Mie Micheelsen Norlén
- Research Unit for Neurology, Odense University Hospital, Odense, Denmark; University of Southern Denmark, Odense, Denmark
| | - Christian Ovesen
- Research Unit for Neurology, Odense University Hospital, Odense, Denmark; University of Southern Denmark, Odense, Denmark
- Department of Neurology, Bispebjerg Hospital, Copenhagen, Denmark
| | - Sören Möller
- Open Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Birgit Bjerre Høyer
- Open Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Jonas Asgaard Bojsen
- Department of Radiology, Odense University Hospital, Odense, Denmark; University of Southern Denmark, Odense, Denmark
| | - Mohammad Talal Elhakim
- Department of Radiology, Odense University Hospital, Odense, Denmark; University of Southern Denmark, Odense, Denmark
| | - Frederik Severin Gråe Harbo
- Department of Radiology, Odense University Hospital, Odense, Denmark; University of Southern Denmark, Odense, Denmark
| | | | - Larry B Goldstein
- Department of Neurology and Kentucky Neuroscience Institute, University of Kentucky, Lexington, KY, USA
| | - Jesper Hallas
- Department of Clinical Pharmacology, Pharmacy and Environmental Medicine, University of Southern Denmark, Odense, Denmark
| | | | - Magdy Selim
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - David Gaist
- Research Unit for Neurology, Odense University Hospital, Odense, Denmark; University of Southern Denmark, Odense, Denmark
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29
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Mazzacane F, Moraru S, Del Bello B, Ferrari F, Ferro E, Persico A, Nawabi J, Padovani A, Cavallini A, Morotti A. Medial intracranial carotid artery calcifications and hematoma expansion in deep intracerebral hemorrhage. Ann Clin Transl Neurol 2024; 11:3246-3254. [PMID: 39497502 DOI: 10.1002/acn3.52240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2024] [Revised: 10/09/2024] [Accepted: 10/19/2024] [Indexed: 12/18/2024] Open
Abstract
BACKGROUND Medial intracranial carotid artery calcifications (ICAC) are associated with impaired vascular physiology, increased arterial stiffness and pulse pressure. Their presence might therefore be associated with increased risk of intracerebral hemorrhage (ICH) expansion, according to the avalanche model. We explored the association between ICAC presence and pattern and hematoma expansion (HE). METHODS Retrospective analysis of a monocentric, prospectively collected cohort of ICH patients admitted between June 2017 and October 2023. ICAC pattern was determined by Kockelkoren's rating scale on admission CT; medial ICAC were defined with a >6 points cutoff. A follow-up CT scan was performed within 72 h. HE was analyzed as a dichotomous (≥6 mL and/or ≥33%) and as a categorical (none/mild/moderate/severe) variable, and its predictors were explored with logistic and ordinal regression respectively, accounting for baseline volume, onset-to-CT time, and anticoagulation. All the analyses were stratified by ICH location (supratentorial deep vs lobar ICH). RESULTS A total of 201 patients were included (median age 78, 42% females, 59% deep ICH). Medial ICAC were significantly more common in deep ICH with HE compared with non-expanders (72% vs 49%, p = 0.03), whereas there was no association between ICAC and HE in lobar ICH (53% vs 52%, p = 0.85). This association between medial ICAC and HE in deep ICH remained significant in logistic (aOR 3.11, 95% CI [1.19-9.06], p = 0.03) and ordinal regression (acOR 2.42, 95% CI [1.19-4.99], p = 0.01). INTERPRETATION Ipsilateral medial ICAC are associated with higher odds of HE in deep ICH. Our findings are best interpreted as hypothesis generating, requiring prospective validation and further research to characterize the underlying biological mechanisms.
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Affiliation(s)
- Federico Mazzacane
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Department of Stroke Unit and Emergency Neurology, IRCCS Mondino Foundation, Pavia, Italy
| | - Stefan Moraru
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Department of Stroke Unit and Emergency Neurology, IRCCS Mondino Foundation, Pavia, Italy
| | - Beatrice Del Bello
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Department of Stroke Unit and Emergency Neurology, IRCCS Mondino Foundation, Pavia, Italy
| | - Federica Ferrari
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Department of Stroke Unit and Emergency Neurology, IRCCS Mondino Foundation, Pavia, Italy
| | - Erica Ferro
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Alessandra Persico
- Department of Stroke Unit and Emergency Neurology, IRCCS Mondino Foundation, Pavia, Italy
| | - Jawed Nawabi
- Department of Neuroradiology, Charité - Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Berlin, Germany
| | - Alessandro Padovani
- Department of Continuity of Care and Frailty, Neurology Unit, ASST-Spedali Civili, Brescia, Italy
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Anna Cavallini
- Department of Stroke Unit and Emergency Neurology, IRCCS Mondino Foundation, Pavia, Italy
| | - Andrea Morotti
- Department of Continuity of Care and Frailty, Neurology Unit, ASST-Spedali Civili, Brescia, Italy
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
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Seiffge DJ, Fandler-Höfler S, Du Y, Goeldlin MB, Jolink WMT, Klijn CJM, Werring DJ. Intracerebral haemorrhage - mechanisms, diagnosis and prospects for treatment and prevention. Nat Rev Neurol 2024; 20:708-723. [PMID: 39548285 DOI: 10.1038/s41582-024-01035-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/11/2024] [Indexed: 11/17/2024]
Abstract
Intracerebral haemorrhage (ICH) is a devastating condition associated with high mortality and substantial residual disability among survivors. Effective treatments for the acute stages of ICH are limited. However, promising findings from randomized trials of therapeutic strategies, including acute care bundles that target anticoagulation therapies, blood pressure control and other physiological parameters, and trials of minimally invasive neurosurgical procedures have led to renewed optimism that patient outcomes can be improved. Currently ongoing areas of research for acute treatment include anti-inflammatory and haemostatic treatments. The implementation of effective secondary prevention strategies requires an understanding of the aetiology of ICH, which involves vascular and brain parenchymal imaging; the use of neuroimaging markers of cerebral small vessel disease improves classification with prognostic relevance. Other data underline the importance of preventing not only recurrent ICH but also ischaemic stroke and cardiovascular events in survivors of ICH. Ongoing and planned randomized controlled trials will assess the efficacy of prevention strategies, including antiplatelet agents, oral anticoagulants or left atrial appendage occlusion (in patients with concomitant atrial fibrillation), and optimal management of long-term blood pressure and statin use. Together, these advances herald a new era of improved understanding and effective interventions to reduce the burden of ICH.
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Affiliation(s)
- David J Seiffge
- Department of Neurology, Inselspital University Hospital Bern and University of Bern, Bern, Switzerland
| | - Simon Fandler-Höfler
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Yang Du
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK
- Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Martina B Goeldlin
- Department of Neurology, Inselspital University Hospital Bern and University of Bern, Bern, Switzerland
| | | | - Catharina J M Klijn
- Department of Neurology, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, Netherlands
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK.
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Mao J, Zhao Q, Guo M, Zhang S, Zhou J. Connecting the dots: Involvement of methyltransferase-like 3, N6-methyladenosine modification, and ferroptosis in the pathogenesis of intracerebral hemorrhage pathogenesis. Exp Neurol 2024; 382:114948. [PMID: 39260591 DOI: 10.1016/j.expneurol.2024.114948] [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: 05/29/2024] [Revised: 08/15/2024] [Accepted: 09/09/2024] [Indexed: 09/13/2024]
Abstract
Intracerebral hemorrhage is a profoundly detrimental acute cerebrovascular condition with a low overall survival rate and a high post-onset disability rate. Secondary brain injury that ensues post-ICH is the primary contributor to fatality and disability. Hence, the mitigation of brain injury during intracerebral hemorrhage progression has emerged as a crucial aspect of clinical management. N6-methyladenosine is the most pervasive, abundant, and conserved internal co-transcriptional modification of eukaryotic ribonucleic acid and is predominantly expressed in the nervous system. Methyltransferase-like 3 is a key regulatory protein that is strongly associated with the development of the nervous system and numerous neurological diseases. Ferroptosis, a form of iron-associated cell death, is a typical manifestation of neuronal apoptosis in neurological diseases and plays an important role in secondary brain damage following intracerebral hemorrhage. Therefore, this review aimed to elucidate the connection between m6A modification (particularly methyltransferase-like 3) and ferroptosis in the context of intracerebral hemorrhage to provide new insights for future intracerebral hemorrhage management approaches.
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Affiliation(s)
- Junxiang Mao
- The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou City, Gansu Province, China
| | - Quantang Zhao
- Department of Neurosurgery, The Chinese People's Liberation Army Joint Logistics Support Force, No. 940 Hospital, Lanzhou City, Gansu Province, China
| | - Man Guo
- Department of Neurosurgery, The Chinese People's Liberation Army Joint Logistics Support Force, No. 940 Hospital, Lanzhou City, Gansu Province, China
| | - Shenghao Zhang
- Department of Neurosurgery, The Chinese People's Liberation Army Joint Logistics Support Force, No. 940 Hospital, Lanzhou City, Gansu Province, China
| | - Jie Zhou
- The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou City, Gansu Province, China.
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Okazaki T, Niwa T, Yoshida R, Sorimachi T, Hashimoto J. Visibility of Intracranial Perforating Arteries Using Ultra-High-Resolution Photon-Counting Detector Computed Tomography (CT) Angiography. Tomography 2024; 10:1867-1880. [PMID: 39728898 DOI: 10.3390/tomography10120136] [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: 09/21/2024] [Revised: 11/16/2024] [Accepted: 11/18/2024] [Indexed: 12/28/2024] Open
Abstract
Background/Objectives: Photon-counting detector computed tomography (PCD-CT) offers energy-resolved CT data with enhanced resolution, reduced electronic noise, and improved tissue contrast. This study aimed to evaluate the visibility of intracranial perforating arteries on ultra-high-resolution (UHR) CT angiography (CTA) on PCD-CT. Methods: A retrospective analysis of intracranial UHR PCD-CTA was performed for 30 patients. The image quality from four UHR PCD-CTA reconstruction methods [kernel Hv40 and Hv72, with and without quantum iterative reconstruction (QIR)] was assessed for the lenticulostriate arteries (LSAs) and pontine arteries (PAs). A subjective evaluation included peripheral visibility, vessel sharpness, and image noise, while objective analysis focused on the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). Results: Peripheral LSAs were well visualized across all reconstruction methods, with no significant differences between them. Vessel sharpness and image noise varied significantly (p < 0.0001); sharper LSAs and more noise were seen with kernel Hv72 compared to kernel Hv40 (p < 0.05). A similar pattern was observed for PAs, though peripheral visibility was lower than that for LSAs. The SNR and CNR were the highest in the presence of kernel Hv72 with QIR, and lowest with kernel Hv72 without QIR, compared to kernel Hv40 (p < 0.05). Conclusions: UHR PCD-CTA provided a good visualization of the intracranial perforating arteries, particularly LSAs. The vessel sharpness and image noise varied by reconstruction method, in which kernel Hv72 with QIR offered the optimal visualization.
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Affiliation(s)
- Takashi Okazaki
- Department of Diagnostic Radiology, Tokai University School of Medicine, 143 Shimokasuya, Isehara 259-1193, Japan
| | - Tetsu Niwa
- Department of Diagnostic Radiology, Tokai University School of Medicine, 143 Shimokasuya, Isehara 259-1193, Japan
| | - Ryoichi Yoshida
- Department of Radiology, Tokai University Hospital, 143 Shimokasuya, Isehara 259-1193, Japan
| | - Takatoshi Sorimachi
- Department of Neurosurgery, Tokai University School of Medicine, 143 Shimokasuya, Isehara 259-1193, Japan
| | - Jun Hashimoto
- Department of Diagnostic Radiology, Tokai University School of Medicine, 143 Shimokasuya, Isehara 259-1193, Japan
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Wang Y, Liu F, Wu X, Zhou F, Chen X, Xi Z. Intracerebral hemorrhage complicated by alcohol use disorder in young males in Chongqing China: Characteristics and long-term outcome. J Stroke Cerebrovasc Dis 2024; 33:107995. [PMID: 39241845 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107995] [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: 07/25/2024] [Revised: 08/31/2024] [Accepted: 09/03/2024] [Indexed: 09/09/2024] Open
Abstract
BACKGROUND The characteristics of patients with intracerebral hemorrhage (ICH) complicated by alcohol use disorders (AUD) are not well understood. Investigating the clinical characteristics and prognosis of this subgroup (AUD-ICH) is necessary. METHODS This study involved young males with ICH who were admitted to our hospital between January 2013 and March 2022. Based on drinking patterns, the included cases were divided into three groups: AUD, occasional drinking, and non-drinking. We compared the clinical characteristics and prognosis of patients in the three groups. The effect of AUD on hematoma expansion and long-term dysfunction was explored by developing regression models. The potential mediating role of hematoma density heterogeneity within the relationship between AUD and hematoma expansion was examined through mediation analysis. RESULTS This study included 222 cases of male patients with ICH, with a mean age of 54.16. AUD patients had a higher risk of hematoma expansion and dysfunction compared to occasional drinkers (odds ratio [OR] 2.966, p=0.028 for hematoma expansion; hazard ratio [HR] 2.620, p=0.006 for dysfunction) and non-drinkers (OR 3.505, p=0.011 for hematoma expansion; HR 2.795, P=0.003 for dysfunction). The mediation analysis showed that the indirect effect through hematoma density heterogeneity on the relationship between AUD and hematoma expansion was significant, with a mediated proportion of 19.3%. CONCLUSIONS AUD was an independent risk factor for hematoma expansion and long-term dysfunction in young male patients with ICH. Hematoma density heterogeneity partially mediated the relationship between AUD and hematoma expansion.
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Affiliation(s)
- Yuzhu Wang
- Department of Neurology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
| | - Fei Liu
- Department of Neurology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
| | - Xiaohui Wu
- Department of Neurology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
| | - Fu Zhou
- Department of Neurology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
| | - Xuan Chen
- Department of Neurology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
| | - Zhiqin Xi
- Department of Neurology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
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Cordonnier C. From Nihilism to Optimism: Bringing a Community to Action. Stroke 2024; 55:2723-2725. [PMID: 38864250 DOI: 10.1161/strokeaha.124.044295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2024]
Affiliation(s)
- Charlotte Cordonnier
- Univ Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience and Cognition, France
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35
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Wu Q, Chen N, Ren Y, Ren S, Ye F, Zhao X, Wu G, Wang L. Morphological characteristics of CT blend sign predict hematoma expansion and outcomes in intracerebral hemorrhage in elderly patients. Front Med (Lausanne) 2024; 11:1442724. [PMID: 39411190 PMCID: PMC11473336 DOI: 10.3389/fmed.2024.1442724] [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: 06/02/2024] [Accepted: 09/19/2024] [Indexed: 10/19/2024] Open
Abstract
Background and purpose The underlying basis of the blend sign on brain computed tomography (CT) in patients with intracerebral hemorrhage (ICH) is unclear. Few studies have examined the morphological alterations in the CT blend sign in ICH. Therefore, we assessed changes in the CT blend sign and their association with hematoma expansion (HE) and adverse outcomes in ICH patients. Methods We recorded the clinical and radiographic parameters of patients with ICH and blend sign on brain CT. The patients were categorized into two groups, with changes in the relatively hypoattenuating region of the blend sign (CHB group) and with no changes in the relatively hypoattenuating region of the blend sign (NHB groups). We performed univariate and multivariate logistic regression analyses to examine the correlations between CHB and HE and poor outcomes. Furthermore, receiver operating characteristic curve analysis was used to confirm the predictive power of CHB. Results In total, 183 patients were included in the study, of whom 74 (40.4%) demonstrated changes in the hypoattenuating region of the blend sign, whereas 109 (59.6%) did not. Compared with the NHB group, patients in the CHB group exhibited significantly higher levels of HE and adverse outcomes. After adjustment for confounding factors, CHB was independently associated with HE (odds ratio, 19.401 [95% CI, 7.217-52.163]; p < 0.001) and poor 3-month outcomes (odds ratio, 2.638 [95% CI, 1.391-5.003]; p = 0.003) in the multivariate analysis. The sensitivity, specificity, positive predictive value, and negative predictive value of CHB for predicting HE were 0.877, 0.768, 0.791, and 0.862, respectively, whereas these values for predicting poor outcomes were 0.789, 0.641, 0.688, and 0.752, respectively. Conclusion Changes of a hypoattenuating region within the blend sign have good predictive accuracy for HE and short-term adverse outcomes in elderly patients with ICH. Clinical trial registration ClinicalTrials.gov, NCT05548530.
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Affiliation(s)
| | | | | | | | | | | | - Guofeng Wu
- The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Likun Wang
- The Affiliated Hospital of Guizhou Medical University, Guiyang, China
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Yalcin C, Abramova V, Terceño M, Oliver A, Silva Y, Lladó X. Hematoma expansion prediction in intracerebral hemorrhage patients by using synthesized CT images in an end-to-end deep learning framework. Comput Med Imaging Graph 2024; 117:102430. [PMID: 39260113 DOI: 10.1016/j.compmedimag.2024.102430] [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: 03/08/2024] [Revised: 08/03/2024] [Accepted: 08/30/2024] [Indexed: 09/13/2024]
Abstract
Spontaneous intracerebral hemorrhage (ICH) is a type of stroke less prevalent than ischemic stroke but associated with high mortality rates. Hematoma expansion (HE) is an increase in the bleeding that affects 30%-38% of hemorrhagic stroke patients. It is observed within 24 h of onset and associated with patient worsening. Clinically it is relevant to detect the patients that will develop HE from their initial computed tomography (CT) scans which could improve patient management and treatment decisions. However, this is a significant challenge due to the predictive nature of the task and its low prevalence, which hinders the availability of large datasets with the required longitudinal information. In this work, we present an end-to-end deep learning framework capable of predicting which cases will exhibit HE using only the initial basal image. We introduce a deep learning framework based on the 2D EfficientNet B0 model to predict the occurrence of HE using initial non-contrasted CT scans and their corresponding lesion annotation as priors. We used an in-house acquired dataset of 122 ICH patients, including 35 HE cases, containing longitudinal CT scans with manual lesion annotations in both basal and follow-up (obtained within 24 h after the basal scan). Experiments were conducted using a 5-fold cross-validation strategy. We addressed the limited data problem by incorporating synthetic images into the training process. To the best of our knowledge, our approach is novel in the field of HE prediction, being the first to use image synthesis to enhance results. We studied different scenarios such as training only with the original scans, using standard image augmentation techniques, and using synthetic image generation. The best performance was achieved by adding five generated versions of each image, along with standard data augmentation, during the training process. This significantly improved (p=0.0003) the performance obtained with our baseline model using directly the original CT scans from an Accuracy of 0.56 to 0.84, F1-Score of 0.53 to 0.82, Sensitivity of 0.51 to 0.77, and Specificity of 0.60 to 0.91, respectively. The proposed approach shows promising results in predicting HE, especially with the inclusion of synthetically generated images. The obtained results highlight the significance of this research direction, which has the potential to improve the clinical management of patients with hemorrhagic stroke. The code is available at: https://github.com/NIC-VICOROB/HE-prediction-SynthCT.
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Affiliation(s)
- Cansu Yalcin
- Computer Vision and Robotics Group, University of Girona, Girona, Spain.
| | - Valeriia Abramova
- Computer Vision and Robotics Group, University of Girona, Girona, Spain
| | - Mikel Terceño
- Department of Neurology, Hospital Universitari Dr Josep Trueta - Institut d'Investigació Biomèdica de Girona, Girona, Spain
| | - Arnau Oliver
- Computer Vision and Robotics Group, University of Girona, Girona, Spain
| | - Yolanda Silva
- Department of Neurology, Hospital Universitari Dr Josep Trueta - Institut d'Investigació Biomèdica de Girona, Girona, Spain
| | - Xavier Lladó
- Computer Vision and Robotics Group, University of Girona, Girona, Spain
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Kuang L, Fei S, Zhou H, Huang L, Guo C, Cheng J, Guo W, Ye Y, Wang R, Xiong H, Zhang J, Tang D, Zou L, Qiu X, Yu Y, Song L. Added Value of Frequency of Imaging Markers for Prediction of Outcome After Intracerebral Hemorrhage: A Secondary Analysis of Existing Data. Neurocrit Care 2024; 41:541-549. [PMID: 38506972 DOI: 10.1007/s12028-024-01963-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 02/16/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Frequency of imaging markers (FIM) has been identified as an independent predictor of hematoma expansion in patients with intracerebral hemorrhage (ICH), but its impact on clinical outcome of ICH is yet to be determined. The aim of the present study was to investigate this association. METHODS This study was a secondary analysis of our prior research. The data for this study were derived from six retrospective cohorts of ICH from January 2018 to August 2022. All consecutive study participants were examined within 6 h of stroke onset on neuroimaging. FIM was defined as the ratio of the number of imaging markers on noncontrast head tomography (i.e., hypodensities, blend sign, and island sign) to onset-to-neuroimaging time. The primary poor outcome was defined as a modified Rankin Scale score of 3-6 at 3 months. RESULTS A total of 1253 patients with ICH were included for final analysis. Among those with available follow-up results, 713 (56.90%) exhibited a poor neurologic outcome at 3 months. In a univariate analysis, FIM was associated with poor prognosis (odds ratio 4.36; 95% confidence interval 3.31-5.74; p < 0.001). After adjustment for age, Glasgow Coma Scale score, systolic blood pressure, hematoma volume, and intraventricular hemorrhage, FIM was still an independent predictor of worse prognosis (odds ratio 3.26; 95% confidence interval 2.37-4.48; p < 0.001). Based on receiver operating characteristic curve analysis, a cutoff value of 0.28 for FIM was associated with 0.69 sensitivity, 0.66 specificity, 0.73 positive predictive value, 0.62 negative predictive value, and 0.71 area under the curve for the diagnosis of poor outcome. CONCLUSIONS The metric of FIM is associated with 3-month poor outcome after ICH. The novel indicator that helps identify patients who are likely within the 6-h time window at risk for worse outcome would be a valuable addition to the clinical management of ICH.
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Affiliation(s)
- Lianghong Kuang
- Department of Neurology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, China
| | - Shinuan Fei
- Department of Pediatrics, Huangshi Maternity and Children's Health Hospital, Affiliated Maternity and Children's Health Hospital of Hubei Polytechnic University, Huangshi, China
| | - Hang Zhou
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China
| | - Le Huang
- Postgraduate Joint Training Base of Huangshi Central Hospital, Wuhan University of Science and Technology, Huangshi, China
| | - Cailian Guo
- Postgraduate Joint Training Base of Huangshi Central Hospital, Wuhan University of Science and Technology, Huangshi, China
| | - Jun Cheng
- Computer School, Hubei Polytechnic University, Huangshi, China
| | - Wenmin Guo
- Department of Radiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China
| | - Yu Ye
- Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, No. 141, Tianjin Road, Huangshigang District, Huangshi, 435000, China
| | - Rujia Wang
- Department of Radiology, Tangshan Gongren Hospital, Tangshan, China
| | - Hui Xiong
- Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, No. 141, Tianjin Road, Huangshigang District, Huangshi, 435000, China
| | - Ji Zhang
- Department of Clinical Laboratory, Xiangyang Central Haspital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China
| | - Dongfang Tang
- Department of Neurosurgery, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China
| | - Liwei Zou
- Department of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiaoming Qiu
- Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, No. 141, Tianjin Road, Huangshigang District, Huangshi, 435000, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Lei Song
- Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, No. 141, Tianjin Road, Huangshigang District, Huangshi, 435000, China.
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Zhang Y, Wang X, Niu X, Wang H, Wu Y, Li C, Wang H, Lin S, Wang D, Lin F, Yao P, Lin Y, Kang D, Gao B. Multi-therapeutic-activity selenium nanodot toward preventing brain injury and restoring neurobehavioral functions following hemorrhagic stroke. J Nanobiotechnology 2024; 22:564. [PMID: 39272097 PMCID: PMC11401260 DOI: 10.1186/s12951-024-02847-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2024] [Accepted: 09/07/2024] [Indexed: 09/15/2024] Open
Abstract
Intracerebral hemorrhage is a lethal cerebrovascular disease, and the inevitable secondary brain injury (SBI) is responsible for serious disability and death. Perfect therapeutic goal is to minimize SBI and restore neurobehavioral functions. Recently, neuroprotection is highlighted to reduce SBI, but it still faces "Neuronal survival but impaired functions" dilemma. Herein, this work further proposes a novel combinational therapeutic strategy of neuroprotection and neurogenesis toward this goal. However, appropriate therapeutic agents are rarely reported, and their discovery and development are urgently needed. Selenium participates in various physiological/pathological processes, which is hypothesized as a potential targeting molecule. To explore this effect, this work formulates an ultra-small selenium nanodot with a seleno-amino acid derived carbon dot domain and a hydrophilic PEG layer, surprisingly finding that it increases various selenoproteins levels at perihematomal region, to not only exert multiple neuroprotective roles at acute phase but promote neurogenesis and inhibit glial scar formation at recovery phase. At a safe dose, this combinational strategy effectively prevents SBI and recovers neurobehavioral functions to a normal level. Furthermore, its molecular mechanisms are revealed to broaden application scopes in other complex diseases.
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Affiliation(s)
- Yibin Zhang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Institutes of Brain Disorders and Brain Sciences, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Xiaoyu Wang
- College of Materials Science and Engineering, Qingdao University, Qingdao, 266071, China
| | - Xuegang Niu
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Institutes of Brain Disorders and Brain Sciences, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Haojie Wang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Institutes of Brain Disorders and Brain Sciences, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Yi Wu
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Institutes of Brain Disorders and Brain Sciences, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Chunwang Li
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Institutes of Brain Disorders and Brain Sciences, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Huimin Wang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Institutes of Brain Disorders and Brain Sciences, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Shen Lin
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Institutes of Brain Disorders and Brain Sciences, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Dengliang Wang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Institutes of Brain Disorders and Brain Sciences, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Fuxin Lin
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Institutes of Brain Disorders and Brain Sciences, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Peisen Yao
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Institutes of Brain Disorders and Brain Sciences, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Yuanxiang Lin
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China.
- Fujian Provincial Institutes of Brain Disorders and Brain Sciences, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China.
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China.
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China.
| | - Dezhi Kang
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China.
- Fujian Provincial Institutes of Brain Disorders and Brain Sciences, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China.
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China.
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China.
| | - Bin Gao
- Department of Neurosurgery, Neurosurgery Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China.
- Fujian Provincial Institutes of Brain Disorders and Brain Sciences, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China.
- Fujian Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China.
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China.
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Hu D, Yan C, Xie H, Wen X, He K, Ding Y, Zhao Y, Meng H, Li K, Yang Z. Perihematomal Neurovascular Protection: Blocking HSP90 Reduces Blood Infiltration Associated with Inflammatory Effects Following Intracerebral Hemorrhage in Rates. Transl Stroke Res 2024:10.1007/s12975-024-01289-y. [PMID: 39230786 DOI: 10.1007/s12975-024-01289-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 07/30/2024] [Accepted: 08/12/2024] [Indexed: 09/05/2024]
Abstract
The active hemorrhage surrounding the hematoma is caused by the infiltration of blood into the cerebral parenchyma through the ruptured vessel, including the compromised blood-brain barrier (BBB). This process is thought to be mainly driven by inflammation and serves as a significant pathological characteristic that contributes to the neurological deterioration observed in individuals with intracerebral hemorrhage (ICH). Heat shock protein 90 (HSP90) exhibits abnormally high expression levels in various diseases and is closely associated with the onset of inflammation. Here, we found that blocking HSP90 effectively alleviates the inflammatory damage to BBB and subsequent bleeding around the hematoma. We have observed increased HSP90 levels in the serum of patients with ICH and the perihematoma region in ICH rats. Treatment with anti-HSP90 drugs (Geldanamycin and radicicol) effectively reduced HSP90 levels, resulting in enhanced neurological outcomes, decreased hematoma volume, and prevented peripheral immune cells from adhering to the BBB and infiltrating the brain parenchyma surrounding the hematoma in ICH rats. Mechanistically, anti-HSP90 therapy alleviated BBB injury caused by ICH-induced inflammation by suppressing TLR4 signaling. The study highlights the potential of anti-HSP90 therapy in mitigating BBB disruption and hemorrhage surrounding the hematoma, providing new insights into the management of ICH by targeting HSP90.
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Affiliation(s)
- Di Hu
- Department of Neurology and Stroke Center, Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, 613 West Huangpu Ave, Guangzhou, 510632, China
| | - Chao Yan
- Department of Neurology and Stroke Center, Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, 613 West Huangpu Ave, Guangzhou, 510632, China
| | - Hesong Xie
- Department of Neurology and Stroke Center, Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, 613 West Huangpu Ave, Guangzhou, 510632, China
| | - Xueyi Wen
- Department of Neurology and Stroke Center, Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, 613 West Huangpu Ave, Guangzhou, 510632, China
| | - Kejing He
- Department of Neurology and Stroke Center, Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, 613 West Huangpu Ave, Guangzhou, 510632, China
| | - Yan Ding
- Department of Neurology and Stroke Center, Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, 613 West Huangpu Ave, Guangzhou, 510632, China
| | - Ying Zhao
- Department of Neurology and Stroke Center, Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, 613 West Huangpu Ave, Guangzhou, 510632, China
| | - Heng Meng
- Department of Neurology and Stroke Center, Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, 613 West Huangpu Ave, Guangzhou, 510632, China.
| | - Keshen Li
- Department of Neurology and Stroke Center, Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, 613 West Huangpu Ave, Guangzhou, 510632, China.
| | - Zhenguo Yang
- Department of Neurology and Stroke Center, Clinical Neuroscience Institute, The First Affiliated Hospital of Jinan University, 613 West Huangpu Ave, Guangzhou, 510632, China.
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Morotti A, Li Q, Nawabi J, Busto G, Mazzacane F, Cavallini A, Shoamanesh A, Morassi M, Schlunk F, Piccolo L, Urbinati G, Pezzini D, Paciaroni M, Fainardi E, Casetta I, Padovani A, Zini A. Predictors of severe intracerebral hemorrhage expansion. Eur Stroke J 2024; 9:623-629. [PMID: 38627953 PMCID: PMC11418511 DOI: 10.1177/23969873241247436] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Accepted: 03/30/2024] [Indexed: 08/23/2024] Open
Abstract
BACKGROUND Severe hematoma expansion (sHE) has the strongest impact on intracerebral hemorrhage (ICH) outcome. We investigated the predictors of sHE. METHODS Retrospective analysis of ICH patients admitted at nine sites in Italy, Germany, China, and Canada. The following imaging features were analyzed: non-contrast CT (NCCT) hypodensities, heterogeneous density, blend sign, irregular shape, and CT angiography (CTA) spot sign. The outcome of interest was sHE, defined as volume increase >66% and/or >12.5 from baseline to follow-up NCCT. Predictors of sHE were explored with logistic regression. RESULTS A total of 1472 patients were included (median age 73, 56.6% males) of whom 223 (15.2%) had sHE. Age (odds ratio (OR) per year, 95% confidence interval (CI), 1.02 (1.01-1.04)), Anticoagulant treatment (OR 3.00, 95% CI 2.09-4.31), Glasgow Coma Scale (OR 0.93, 95% CI 0.89-0.98), time from onset/last known well to imaging, (OR per h 0.96, 95% CI 0.93-0.99), and baseline ICH volume, (OR per mL 1.02, 95% CI 1.02-1.03) were independently associated with sHE. Ultra-early hematoma growth (baseline volume/baseline imaging time) was also a predictor of sHE (OR per mL/h 1.01, 95% CI 1.00-1.02). All NCCT and CTA imaging markers were also predictors of sHE. Amongst imaging features NCCT hypodensities had the highest sensitivity (0.79) whereas the CTA spot sign had the highest positive predictive value (0.51). CONCLUSIONS sHE is common in the natural history of ICH and can be predicted with few clinical and imaging variables. These findings might inform clinical practice and future trials targeting active bleeding in ICH.
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Affiliation(s)
- Andrea Morotti
- Department of Continuity of Care and Frailty, Neurology Unit, ASST-Spedali Civili, Brescia, Italy
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Qi Li
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jawed Nawabi
- Department of Neuroradiology, Charité – Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Berlin, Germany
| | - Giorgio Busto
- Department of Biomedical Experimental and Clinical, Neuroradiology, University of Firenze, AOU Careggi, Firenze, Italy
| | - Federico Mazzacane
- U.C. Malattie Cerebrovascolari e Stroke Unit, IRCCS Fondazione Mondino, Pavia, Italia
| | - Anna Cavallini
- U.C. Malattie Cerebrovascolari e Stroke Unit, IRCCS Fondazione Mondino, Pavia, Italia
| | - Ashkan Shoamanesh
- Division of Neurology, Department of Medicine, McMaster University/Population Health Research Institute, Hamilton, ON, Canada
| | - Mauro Morassi
- Unit of Neuroradiology, Department of Diagnostic Imaging, Fondazione Poliambulanza Hospital, Brescia, Italy
| | - Frieder Schlunk
- Department of Neuroradiology, Medical Centre, University of Freiburg, Freiburg, Germany
| | - Laura Piccolo
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy
| | - Giacomo Urbinati
- Dipartimento di Scienze Biomediche e neuromotorie, Università di Bologna, Bologna, Italy
| | - Debora Pezzini
- Department of Continuity of Care and Frailty, Neurology Unit, ASST-Spedali Civili, Brescia, Italy
| | - Maurizio Paciaroni
- Cardiovascular and Emergency Medicine, Stroke Unit, University of Perugia/Azienda Ospedaliera Santa Maria Della Misericordia, Perugia, Italy
| | - Enrico Fainardi
- Department of Biomedical Experimental and Clinical, Neuroradiology, University of Firenze, AOU Careggi, Firenze, Italy
| | | | - Alessandro Padovani
- Department of Continuity of Care and Frailty, Neurology Unit, ASST-Spedali Civili, Brescia, Italy
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Andrea Zini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neurologia e Rete Stroke Metropolitana, Ospedale Maggiore, Bologna, Italy
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Yeager CE, Garg RK. Advances and Future Trends in the Diagnosis and Management of Intracerebral Hemorrhage. Neurol Clin 2024; 42:689-703. [PMID: 38937036 DOI: 10.1016/j.ncl.2024.03.004] [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] [Indexed: 06/29/2024]
Abstract
Spontaneous intracerebral hemorrhage accounts for approximately 10% to 15% of all strokes in the United States and remains one of the deadliest. Of concern is the increasing prevalence, especially in younger populations. This article reviews the following: epidemiology, risk factors, outcomes, imaging findings, medical management, and updates to surgical management.
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Affiliation(s)
- Christine E Yeager
- Division of Critical Care Neurology, Rush University Medical Center, 1725 W Harrison Street, Suite 1106, Chicago, IL, USA.
| | - Rajeev K Garg
- Division of Critical Care Neurology, Section of Cognitive Neurosciences, Rush University Medical Center, 1725 W Harrison Street, Suite 1106, Chicago, IL, USA
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Zhang Q, Chen Z, Chen Y, Jiang Z, Li W, Li Y, Yao Z, Fu W, Fang Y, Li M, Niu Y. Novel Intraoperative and Pathological Findings Related to Computed Tomography Angiography Spot Signs in Intracerebral Hemorrhage Patients: A Case Report. CLINICAL MEDICINE INSIGHTS-CASE REPORTS 2024; 17:11795476241265275. [PMID: 39070918 PMCID: PMC11283649 DOI: 10.1177/11795476241265275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 06/11/2024] [Indexed: 07/30/2024]
Abstract
Introduction A spot sign on computed tomography angiography (CTA) scan is a widely recognized radiographic indicator of primary intracerebral hemorrhage (ICH) used to predict early hematoma expansion. Nonetheless, recent multicenter studies have indicated that its predictive value for hematoma expansion is not as significant as previously stated. Therefore, identifying the reasons for the poor performance of these studies is imperative. Case presentation A 48-year-old man presented with a 9-hour history of alalia and right limb hemiplegia. Noncontrast computed tomography (CT) revealed a hematoma in the left frontal lobe, while CTA showed a spot sign within the hematoma, leading to a diagnosis of frontal lobe hemorrhage. During the surgical procedure, a blood clot was removed, revealing the presence of 3 mm of saccular tissue resembling an aneurysm. The process of exposing its complete form resulted in its rupture and bleeding. The location of this tissue at the top of the hematoma cavity corresponded to the CTA spot sign. Pathological examination confirmed that the characteristics of the tissue wall were consistent with those of a pseudoaneurysm. Conclusion This case suggests that more stringent identification criteria should be established in studies predicting ICH expansion using the spot sign on CTA to differentiate and exclude pseudoaneurysms, thereby improving the accuracy of predicting early hematoma expansion using the CTA spot sign.
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Affiliation(s)
- Qiang Zhang
- Department of Neurosurgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Neurosurgery, The 961st Hospital of the Chinese People’s Liberation Army Joint Logistic Support Force, Qiqihar, China
| | - Zhi Chen
- Department of Neurosurgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yujie Chen
- Department of Neurosurgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhouyang Jiang
- Department of Neurosurgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Wenyan Li
- Department of Neurosurgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yingpei Li
- Department of Neurosurgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhuo Yao
- Department of Radiology, The 961st Hospital of the Chinese People’s Liberation Army Joint Logistic Support Force, Qiqihar, China
| | - Wenchao Fu
- Department of Neurosurgery, The 961st Hospital of the Chinese People’s Liberation Army Joint Logistic Support Force, Qiqihar, China
| | - Yanyu Fang
- Department of Neurosurgery, The 961st Hospital of the Chinese People’s Liberation Army Joint Logistic Support Force, Qiqihar, China
| | - Mo Li
- Department of Neurosurgery, The 961st Hospital of the Chinese People’s Liberation Army Joint Logistic Support Force, Qiqihar, China
| | - Yin Niu
- Department of Neurosurgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
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Zhao G, Chen Y, Gu Y, Xia X. The clinical value of nutritional and inflammatory indicators in predicting pneumonia among patients with intracerebral hemorrhage. Sci Rep 2024; 14:16171. [PMID: 39003396 PMCID: PMC11246476 DOI: 10.1038/s41598-024-67227-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Accepted: 07/09/2024] [Indexed: 07/15/2024] Open
Abstract
Immunosuppression and malnutrition play pivotal roles in the complications of intracerebral hemorrhage (ICH) and are intricately linked to the development of stroke-associated pneumonia (SAP). Inflammatory markers, including NLR (neutrophil-to-lymphocyte ratio), SII (systemic immune inflammation index), SIRI (systemic inflammatory response index), and SIS (systemic inflammation score), along with nutritional indexes such as CONUT (controlling nutritional status) and PNI (prognostic nutritional index), are crucial indicators influencing the inflammatory state following ICH. In this study, our objective was to compare the predictive efficacy of inflammatory and nutritional indices for SAP in ICH patients, aiming to determine and explore their clinical utility in early pneumonia detection. Patients with severe ICH requiring ICU admission were screened from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The outcomes included the occurrence of SAP and in-hospital death. Receiver operating characteristic (ROC) analysis, multivariate logistic regression, smooth curve analysis, and stratified analysis were employed to investigate the relationship between the CONUT index and the clinical outcomes of patients with severe ICH. A total of 348 patients were enrolled in the study. The incidence of SAP was 21.3%, and the in-hospital mortality rate was 17.0%. Among these indicators, multiple regression analysis revealed that CONUT, PNI, and SIRI were independently associated with SAP. Further ROC curve analysis demonstrated that CONUT (AUC 0.6743, 95% CI 0.6079-0.7408) exhibited the most robust predictive ability for SAP in patients with ICH. Threshold analysis revealed that when CONUT < 6, an increase of 1 point in CONUT was associated with a 1.39 times higher risk of SAP. Similarly, our findings indicate that CONUT has the potential to predict the prognosis of patients with ICH. Among the inflammatory and nutritional markers, CONUT stands out as the most reliable predictor of SAP in patients with ICH. Additionally, it proves to be a valuable indicator for assessing the prognosis of patients with ICH.
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Affiliation(s)
- Guang Zhao
- Department of Emergency Medicine, The First People's Hospital of Kunshan, Kunshan, 215300, Jiangsu, China.
- Jiangsu University Health Science Center, Kunshan, Jiangsu, China.
| | - Yuyang Chen
- Department of Emergency Medicine, The First People's Hospital of Kunshan, Kunshan, 215300, Jiangsu, China
- Jiangsu University Health Science Center, Kunshan, Jiangsu, China
| | - Yuting Gu
- Department of Emergency Medicine, The First People's Hospital of Kunshan, Kunshan, 215300, Jiangsu, China
- Jiangsu University Health Science Center, Kunshan, Jiangsu, China
| | - Xiaohua Xia
- Department of Emergency Medicine, The First People's Hospital of Kunshan, Kunshan, 215300, Jiangsu, China.
- Jiangsu University Health Science Center, Kunshan, Jiangsu, China.
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Hilkens NA, Casolla B, Leung TW, de Leeuw FE. Stroke. Lancet 2024; 403:2820-2836. [PMID: 38759664 DOI: 10.1016/s0140-6736(24)00642-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 03/19/2024] [Accepted: 03/26/2024] [Indexed: 05/19/2024]
Abstract
Stroke affects up to one in five people during their lifetime in some high-income countries, and up to almost one in two in low-income countries. Globally, it is the second leading cause of death. Clinically, the disease is characterised by sudden neurological deficits. Vascular aetiologies contribute to the most common causes of ischaemic stroke, including large artery disease, cardioembolism, and small vessel disease. Small vessel disease is also the most frequent cause of intracerebral haemorrhage, followed by macrovascular causes. For acute ischaemic stroke, multimodal CT or MRI reveal infarct core, ischaemic penumbra, and site of vascular occlusion. For intracerebral haemorrhage, neuroimaging identifies early radiological markers of haematoma expansion and probable underlying cause. For intravenous thrombolysis in ischaemic stroke, tenecteplase is now a safe and effective alternative to alteplase. In patients with strokes caused by large vessel occlusion, the indications for endovascular thrombectomy have been extended to include larger core infarcts and basilar artery occlusion, and the treatment time window has increased to up to 24 h from stroke onset. Regarding intracerebral haemorrhage, prompt delivery of bundled care consisting of immediate anticoagulation reversal, simultaneous blood pressure lowering, and prespecified stroke unit protocols can improve clinical outcomes. Guided by underlying stroke mechanisms, secondary prevention encompasses pharmacological, vascular, or endovascular interventions and lifestyle modifications.
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Affiliation(s)
- Nina A Hilkens
- Department of Neurology, Radboud University Nijmegen Medical Center, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Barbara Casolla
- Université Nice Cote d'Azur UR2CA-URRIS, Stroke Unit, CHU Pasteur 2, Nice, France
| | - Thomas W Leung
- Division of Neurology, Department of Medicine and Therapeutics, The Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China
| | - Frank-Erik de Leeuw
- Department of Neurology, Radboud University Nijmegen Medical Center, Nijmegen, Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands.
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Kumar A, Witsch J, Frontera J, Qureshi AI, Oermann E, Yaghi S, Melmed KR. Predicting hematoma expansion using machine learning: An exploratory analysis of the ATACH 2 trial. J Neurol Sci 2024; 461:123048. [PMID: 38749281 DOI: 10.1016/j.jns.2024.123048] [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: 12/19/2023] [Revised: 05/07/2024] [Accepted: 05/10/2024] [Indexed: 06/13/2024]
Abstract
INTRODUCTION Hematoma expansion (HE) in patients with intracerebral hemorrhage (ICH) is a key predictor of poor prognosis and potentially amenable to treatment. This study aimed to build a classification model to predict HE in patients with ICH using deep learning algorithms without using advanced radiological features. METHODS Data from the ATACH-2 trial (Antihypertensive Treatment of Acute Cerebral Hemorrhage) was utilized. Variables included in the models were chosen as per literature consensus on salient variables associated with HE. HE was defined as increase in either >33% or 6 mL in hematoma volume in the first 24 h. Multiple machine learning algorithms were employed using iterative feature selection and outcome balancing methods. 70% of patients were used for training and 30% for internal validation. We compared the ML models to a logistic regression model and calculated AUC, accuracy, sensitivity and specificity for the internal validation models respective models. RESULTS Among 1000 patients included in the ATACH-2 trial, 924 had the complete parameters which were included in the analytical cohort. The median [interquartile range (IQR)] initial hematoma volume was 9.93.mm3 [5.03-18.17] and 25.2% had HE. The best performing model across all feature selection groups and sampling cohorts was using an artificial neural network (ANN) for HE in the testing cohort with AUC 0.702 [95% CI, 0.631-0.774] with 8 hidden layer nodes The traditional logistic regression yielded AUC 0.658 [95% CI, 0.641-0.675]. All other models performed with less accuracy and lower AUC. Initial hematoma volume, time to initial CT head, and initial SBP emerged as most relevant variables across all best performing models. CONCLUSION We developed multiple ML algorithms to predict HE with the ANN classifying the best without advanced radiographic features, although the AUC was only modestly better than other models. A larger, more heterogenous dataset is needed to further build and better generalize the models.
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Affiliation(s)
- Arooshi Kumar
- Rush University Medical Center, Department of Neurology, Chicago, IL 60612, United States of America.
| | - Jens Witsch
- Hospital of the University of Pennsylvania, Department of Neurology, Philadelphia, PA 19104, United States of America
| | - Jennifer Frontera
- NYU Langone Medical Center, Department of Neurology, New York, NY 10016, United States of America
| | - Adnan I Qureshi
- Zeenat Qureshi Stroke Institutes and Department of Neurology, University of Missouri, Columbia, MO 65201, United States of America
| | - Eric Oermann
- NYU Langone Medical Center, Department of Neurology, New York, NY 10016, United States of America
| | - Shadi Yaghi
- Warren Alpert Medical School of Brown University, Department of Neurology, Providence, RI 02903, United States of America
| | - Kara R Melmed
- NYU Langone Medical Center, Department of Neurology, New York, NY 10016, United States of America; NYU Langone Medical Center, Department of Neurosurgery, New York, NY 10016, United States of America
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Ai M, Zhang H, Feng J, Chen H, Liu D, Li C, Yu F, Li C. Research advances in predicting the expansion of hypertensive intracerebral hemorrhage based on CT images: an overview. PeerJ 2024; 12:e17556. [PMID: 38860211 PMCID: PMC11164062 DOI: 10.7717/peerj.17556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 05/21/2024] [Indexed: 06/12/2024] Open
Abstract
Hematoma expansion (HE) is an important risk factor for death or poor prognosis in patients with hypertensive intracerebral hemorrhage (HICH). Accurately predicting the risk of HE in patients with HICH is of great clinical significance for timely intervention and improving patient prognosis. Many imaging signs reported in literatures showed the important clinical value for predicting HE. In recent years, the development of radiomics and artificial intelligence has provided new methods for HE prediction with high accuracy. Therefore, this article reviews the latest research progress in CT imaging, radiomics, and artificial intelligence of HE, in order to help identify high-risk patients for HE in clinical practice.
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Affiliation(s)
- Min Ai
- Department of Anesthesiology, Nanan District People’s Hospital of Chongqing, Chongqing, China
| | - Hanghang Zhang
- Department of Breast and Thyroid Surgery, Chongqing Bishan District Maternal and Child Health Care Hospital, Chongqing, China
| | - Junbang Feng
- Medical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, China
| | - Hongying Chen
- Medical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, China
| | - Di Liu
- Department of Anesthesiology, Nanan District People’s Hospital of Chongqing, Chongqing, China
| | - Chang Li
- Medical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, China
| | - Fei Yu
- Medical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, China
| | - Chuanming Li
- Medical Imaging Department, Chongqing University Central Hospital (Chongqing Emergency Medical Center), Chongqing, China
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Zheng H, Tang Y, Zhou H, Ji X. The rate-pressure product combined model within 24 h on admission predicts the 30-day mortality rate in conservatively treated patients with intracerebral hemorrhage. Front Neurol 2024; 15:1377843. [PMID: 38911585 PMCID: PMC11190339 DOI: 10.3389/fneur.2024.1377843] [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: 01/28/2024] [Accepted: 05/21/2024] [Indexed: 06/25/2024] Open
Abstract
Background and objectives Recently, some literature has proposed new indicators such as rate-pressure product, platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, etc. However, there has been no literature that has utilized these new indicators to establish a predictive model for assessing the risk of mortality in patients within 24 h on admission. Therefore, this study aims to build a predictive model that can rapidly assess the likelihood of mortality in patients within 24 h of admission. Methods The datasets used in this study are available from the corresponding author upon reasonable request. Patients were randomly assigned to the training or validation cohort based on a ratio of 7:3, which was implemented as internal validations for the final predictive models. In the training set, least absolute shrinkage and selection operator (LASSO) regression was employed to select predictive factors, followed by both univariate and subsequent multivariate analysis. The predictive ability was assessed by the area under the receiver operating characteristic (ROC) curve. Results A total of 428 patients were included in our research. The final model included 4 independent predictors (Glasgow Coma Scale, hematoma volume, rate-pressure product, c-reactive protein) and was developed as a simple-to-use nomogram. The training set and internal validation set model's C-index are 0.933 and 0.954, demonstrating moderate predictive ability with regard to risks of mortality. Compared to ICH score (AUC: 0.910 and 0.925), the net reclassification index (NRI) is 0.298 (CI = -0.105 to 0.701, p: 0.147) and integrated discrimination improvement (IDI) is 0.089 (CI = -0.049 to 0.228, p: 0.209). Our model is equally excellent as the classic ICH score model. Conclusion We developed a model with four independent risk factors to predict the mortality of ICH patients. Our predictive model is effective in assessing the risk of mortality in patients within 24 h on admission, which might be worth considering in clinical settings after further external validation.
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Affiliation(s)
| | | | | | - Xiang Ji
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
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Parry-Jones AR, Järhult SJ, Kreitzer N, Morotti A, Toni D, Seiffge D, Mendelow AD, Patel H, Brouwers HB, Klijn CJM, Steiner T, Gibler WB, Goldstein JN. Acute care bundles should be used for patients with intracerebral haemorrhage: An expert consensus statement. Eur Stroke J 2024; 9:295-302. [PMID: 38149323 PMCID: PMC11318433 DOI: 10.1177/23969873231220235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 11/27/2023] [Indexed: 12/28/2023] Open
Abstract
PURPOSE Intracerebral haemorrhage (ICH) is the most devastating form of stroke and a major cause of disability. Clinical trials of individual therapies have failed to definitively establish a specific beneficial treatment. However, clinical trials of introducing care bundles, with multiple therapies provided in parallel, appear to clearly reduce morbidity and mortality. Currently, not enough patients receive these interventions in the acute phase. METHODS We convened an expert group to discuss best practices in ICH and to develop recommendations for bundled care that can be delivered in all settings that treat acute ICH, with a focus on European healthcare systems. FINDINGS In this consensus paper, we argue for widespread implementation of formalised care bundles in ICH, including specific metrics for time to treatment and criteria for the consideration of neurosurgical therapy. DISCUSSION There is an extraordinary opportunity to improve clinical care and clinical outcomes in this devastating disease. Substantial evidence already exists for a range of therapies that can and should be implemented now.
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Affiliation(s)
- Adrian R Parry-Jones
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
| | - Susann J Järhult
- Department of Medical Sciences, Uppsala University, Emergency Department, Uppsala University Hospital, Uppsala, Sweden
| | - Natalie Kreitzer
- Department of Emergency Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Andrea Morotti
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Danilo Toni
- Emergency Department Stroke Unit, Policlinico Umberto I, University La Sapienza Rome, Italy
| | - David Seiffge
- Department of Neurology, Inselspital, University Hospital and University of Bern, Bern, Switzerland
| | | | - Hiren Patel
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, UK
| | - Hens Bart Brouwers
- Department of Neurosurgery, Elisabeth-TweeSteden Hospital, Tilburg, The Netherlands
| | - Catharina JM Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Thorsten Steiner
- Departments of Neurology, Klinikum Frankfurt Höchst, Frankfurt and Heidelberg University Hospital, Heidelberg, Germany
| | - Walter Brian Gibler
- Department of Emergency Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Joshua N Goldstein
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA
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Murthy SB. Emergent Management of Intracerebral Hemorrhage. Continuum (Minneap Minn) 2024; 30:641-661. [PMID: 38830066 DOI: 10.1212/con.0000000000001422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
OBJECTIVE Nontraumatic intracerebral hemorrhage (ICH) is a potentially devastating cerebrovascular disorder. Several randomized trials have assessed interventions to improve ICH outcomes. This article summarizes some of the recent developments in the emergent medical and surgical management of acute ICH. LATEST DEVELOPMENTS Recent data have underscored the protracted course of recovery after ICH, particularly in patients with severe disability, cautioning against early nihilism and withholding of life-sustaining treatments. The treatment of ICH has undergone rapid evolution with the implementation of intensive blood pressure control, novel reversal strategies for coagulopathy, innovations in systems of care such as mobile stroke units for hyperacute ICH care, and the emergence of newer minimally invasive surgical approaches such as the endoport and endoscope-assisted evacuation techniques. ESSENTIAL POINTS This review discusses the current state of evidence in ICH and its implications for practice, using case illustrations to highlight some of the nuances involved in the management of acute ICH.
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Voigt S, Wermer MJH. Stopping haematoma growth: the search for the right time, place, and agent. Lancet Neurol 2024; 23:547-548. [PMID: 38760084 DOI: 10.1016/s1474-4422(24)00179-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 04/26/2024] [Indexed: 05/19/2024]
Affiliation(s)
- Sabine Voigt
- Leiden University Medical Center, Leiden, Netherlands
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