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Zeng W, Chen J, Shen L, Xia G, Xie J, Zheng S, He Z, Deng L, Guo Y, Yang J, Lv Y, Qin G, Chen W, Yin J, Wu Q. Clinical, radiological, and radiomics feature-based explainable machine learning models for prediction of neurological deterioration and 90-day outcomes in mild intracerebral hemorrhage. BMC Med Imaging 2025; 25:184. [PMID: 40420050 PMCID: PMC12105149 DOI: 10.1186/s12880-025-01717-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2024] [Accepted: 05/08/2025] [Indexed: 05/28/2025] Open
Abstract
BACKGROUND The risks and prognosis of mild intracerebral hemorrhage (ICH) patients were easily overlooked by clinicians. Our goal was to use machine learning (ML) methods to predict mild ICH patients' neurological deterioration (ND) and 90-day prognosis. METHODS This prospective study recruited 257 patients with mild ICH for this study. After exclusions, 148 patients were included in the ND study and 144 patients in the 90-day prognosis study. We trained five ML models using filtered data, including clinical, traditional imaging, and radiomics indicators based on non-contrast computed tomography (NCCT). Additionally, we incorporated the Shapley Additive Explanation (SHAP) method to display key features and visualize the decision-making process of the model for each individual. RESULTS A total of 21 (14.2%) mild ICH patients developed ND, and 35 (24.3%) mild ICH patients had a 90-day poor prognosis. In the validation set, the support vector machine (SVM) models achieved an AUC of 0.846 (95% confidence intervals (CI), 0.627-1.000) and an F1-score of 0.667 for predicting ND, and an AUC of 0.970 (95% CI, 0.928-1.000), and an F1-score of 0.846 for predicting 90-day prognosis. The SHAP analysis results indicated that several clinical features, the island sign, and the radiomics features of the hematoma were of significant value in predicting ND and 90-day prognosis. CONCLUSION The ML models, constructed using clinical, traditional imaging, and radiomics indicators, demonstrated good classification performance in predicting ND and 90-day prognosis in patients with mild ICH, and have the potential to serve as an effective tool in clinical practice. CLINICAL TRIAL NUMBER Not applicable.
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Affiliation(s)
- Weixiong Zeng
- Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jiaying Chen
- Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Comprehensive Medical Treatment Ward, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Linling Shen
- Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Genghong Xia
- Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jiahui Xie
- Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Shuqiong Zheng
- Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zilong He
- Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Limei Deng
- Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yaya Guo
- Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jingjing Yang
- Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yijun Lv
- Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Genggeng Qin
- Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Weiguo Chen
- Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
| | - Jia Yin
- Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
| | - Qiheng Wu
- Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
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Morello G, Alampi D, Aspide R, Beretta A, Bertuetti R, Bilotta F, Brogi E, Buscema G, Caricato A, Caruzzo D, Castioni CA, Chieregato A, Cortegiani A, De Cassai A, Fabbri A, Gelormini D, Gritti P, Guadrini L, Librizzi A, Latronico N, Limbucci N, Munari M, Picetti E, Pipitone G, Pucciarelli G, Robba C, Toni D, Sardo S, Zerbi SM, Zugni N, Rasulo F. Golden hour management in the patient with intraparenchymal cerebral hemorrhage: an Italian intersociety document. JOURNAL OF ANESTHESIA, ANALGESIA AND CRITICAL CARE 2025; 5:25. [PMID: 40346657 PMCID: PMC12065239 DOI: 10.1186/s44158-025-00244-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/09/2025] [Accepted: 04/16/2025] [Indexed: 05/11/2025]
Abstract
BACKGROUND Spontaneous intracerebral hemorrhage (ICH) accounts for 9-27% of all strokes worldwide and is associated with high mortality and disability. The main causes include vascular malformations, small- and large-vessel angiopathies, and coagulation disorders. Mortality rates reach approximately 40% at 1 month and 54% at 1 year, largely influenced by early management decisions. Rapid intervention, particularly within the first hour, is crucial, especially for patients initially treated in peripheral hospitals. This consensus document, developed by SIAARTI with the endorsement of multiple medical societies, aims to standardize ICH management based on hospital capabilities, aligning with the "time is brain" principle and the 2022 AHA guidelines. METHODS A multidisciplinary panel of experts-including neurointensivists, neuroanesthesiologists, neurologists, neuroradiologists, emergency physicians, and neuroscience nurses-developed this consensus document. The process combined a systematic literature review with a modified Delphi method, prioritizing clinical questions using the UCLA-RAND appropriateness methodology. Literature searches were conducted on PubMed following PRISMA 2020 guidelines. Statements were formulated based on both evidence and expert consensus, and the final document underwent external peer review. RESULTS Computer tomography (CT) angiography, with over 90% sensitivity and specificity, is a key tool for identifying macrovascular abnormalities and detecting active bleeding, a critical factor in poor outcomes. Prognostic models, such as the ICH score, assist in clinical decision-making. Strict blood pressure control (target 130-140 mmHg) and early intubation in appropriate cases help mitigate hematoma expansion. Anticonvulsants are recommended only for patients with documented seizures. In cases of anticoagulant-related hemorrhage, prothrombin complex concentrates are effective for rapid reversal, though their long-term impact remains uncertain. Intensive care unit (ICU) admission is determined by ICH severity, with severe cases benefiting from specialized neurocritical care. CONCLUSION A multidisciplinary and inter-societal discussion provided key recommendations for the immediate management of ICH, based on the available literature. While only a few topics are supported by robust evidence, experts strongly recommend early brain angio CT, risk stratification using scoring systems, clear communication of patient data, and intubation for impaired consciousness. Blood pressure should be controlled with alpha- and beta-blockers, avoiding hypotension. Anticoagulant reversal should be appropriately managed, and eligible patients should be centralized in ICU and neurosurgical centers using dedicated scoring systems.
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Affiliation(s)
- Gianluigi Morello
- ASP Catania, Anesthesia and Intensive Care, Militello Hospital, Catania, Italy
| | - Daniela Alampi
- Unit of Anesthesia, Department of Clinical and Surgical Translational Medicine, Intensive Care and Pain Medicine, Sant'Andrea Hospital, Sapienza University, Rome, Italy
| | - Raffaele Aspide
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Anesthesia and Intensive Care Unit, Bologna, Italy.
| | - Alessandra Beretta
- Neurocritical and Postoperative Care, Neuroanesthesia, ASST Spedali Civili Di Brescia, Brescia, Italy
| | - Rita Bertuetti
- Neurocritical and Postoperative Care, Neuroanesthesia, ASST Spedali Civili Di Brescia, Brescia, Italy
| | - Federico Bilotta
- Department of Anesthesiology and Intensive Care Medicine, University of Rome "La Sapienza", Rome, Italy
| | - Etrusca Brogi
- Neuroscience Intensive Care Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Giovanni Buscema
- Department of Anesthesia and Intensive Care Unit, Azienda Ospedaliero Universitaria Policlinico"G. Rodolico - San Marco"di, Catania, Italy
| | - Anselmo Caricato
- Terapia Intensiva Neurochirurgica, Fondazione Policlinico Universitario A.Gemelli IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Davide Caruzzo
- Azienda Sanitaria Universitaria Friuli Centrale Di Udine, Udine, Italy
| | - Carlo Alberto Castioni
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Anesthesia and Intensive Care Unit, Bologna, Italy
| | - Arturo Chieregato
- Neuroscience Intensive Care Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Andrea Cortegiani
- Department of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C.), University of Palermo, Palermo, Italy
- Department of Anesthesia, Intensive Care and Emergency, University Hospital Policlinico Paolo Giaccone, AnalgesiaPalermo, Italy
| | - Alessandro De Cassai
- University of Padua, Padua, Italy
- Institute of Anesthesia and Intensive Care, University Hospital of Padua, Padua, Italy
| | - Andrea Fabbri
- Emergency Department, Local Health Agency of Romagna, Forlì, FC, Italy
| | - Domenico Gelormini
- Neurocritical and Postoperative Care Unit, Department of Emergency, Anesthesia and Intensive Care, Azienda Ospedaliero Universitaria Integrata Di Verona, Verona, Italy
| | - Paolo Gritti
- Department of Anesthesia and Intensive Care Unit, Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Lucrezia Guadrini
- Neurocritical and Postoperative Care, Neuroanesthesia, ASST Spedali Civili Di Brescia, Brescia, Italy
| | - Alberto Librizzi
- Neurocritical and Postoperative Care, Neuroanesthesia, ASST Spedali Civili Di Brescia, Brescia, Italy
| | - Nicola Latronico
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
- Department of Emergency, Spedali Civili University Hospital, Brescia, Italy
| | - Nicola Limbucci
- Interventional Neurovascular Unit, Careggi University Hospital, Florence, Italy
| | - Marina Munari
- Department of Anesthesia, Intensive Care and Neurointensive Care, University Hospital of Padua, Padua, Italy
| | - Edoardo Picetti
- Department of Anesthesia and Intensive Care, Parma University Hospital, Parma, Italy
| | | | - Gianluca Pucciarelli
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Chiara Robba
- Department of Surgical Science and Integrated Diagnostic, University of Genova, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Danilo Toni
- Emergency Department Stroke Unit, Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Salvatore Sardo
- Department of Medical Sciences and Public Health, University of Cagliari, Monserrato, Italy
| | - Simone Maria Zerbi
- Department of Emergency, Anesthesia and Intensive Care, Neurointensive Care, ASST Lariana Ospedale Sant'Anna, San Fermo Della Battaglia (CO), Como, Italy
| | - Nicola Zugni
- Neurocritical and Postoperative Care, Neuroanesthesia, ASST Spedali Civili Di Brescia, Brescia, Italy
| | - Frank Rasulo
- Dept. of Neuroanesthesia, Neurocritical and Postoperative Care, ASST Spedali Civili University Affiliated Hospital of Brescia, Brescia, Italy
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Gao S, Zhu Z, Zheng W. Thiamine administration and in-hospital mortality in patients with traumatic brain injury: analysis of the MIMIC-IV database. Front Neurol 2025; 16:1448439. [PMID: 40343179 PMCID: PMC12058809 DOI: 10.3389/fneur.2025.1448439] [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: 06/13/2024] [Accepted: 04/04/2025] [Indexed: 05/11/2025] Open
Abstract
Aim Several studies have suggested the favorable impact of thiamine administration on the prognosis of diseases. However, the value of thiamine in patients with traumatic brain injury (TBI) admitted to the intensive care unit (ICU) remains unclear. The aim of this study was to investigate the association between the between thiamine administration and in-hospital mortality in TBI patients. Methods A cohort of 1,755 individuals diagnosed with TBI from the Medical Information Mart for Intensive Care IV database were included in this retrospective cohort study. Thiamine administration is determined by the patient's usage during their stay in the ICU. The primary outcome was in-hospital mortality. Univariable and multivariable Cox regression analysis were used to investigate the relationship between thiamine administration and in-hospital mortality of patients with TBI. Subgroup analysis was also performed to determine if this association differed for subgroups classified using different variables including age (<65 years and ≥65 years), gender (male and female), and the severity of TBI (mild, moderate, and severe). Results The median follow-up time was 6.77 (3.98, 12.94) days, and the in-hospital mortality rate for the population was approximately 14.1%. In the univariable Cox regression analysis, thiamine administration was significantly associated with the reduced risk of in-hospital mortality in TBI patients admitted to the ICU. performing the multivariable Cox regression analysis, the observed association of thiamine administration and in-hospital mortality remained significant, with the hazard ratios (HR) of 0.66 [95% confidence interval (CI) = 0.45-0.98]. In the subgroup analysis, the results demonstrated that thiamine administration resulted in a decreased risk of in-hospital mortality among TBI patients who aged 65 years or older (HR = 0.36, 95% CI: 0.19-0.69), as well as male individuals (HR = 0.36, 95% CI: 0.17-0.80) and those with severe TBI (HR = 0.16, 95% CI: 0.04-0.57). Conclusion Thiamine administration may reduce in-hospital mortality for patients with TBI admitted to the ICU.
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Affiliation(s)
| | | | - Wenhan Zheng
- Department of Neurosurgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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Currò CT, Ferrari F, Merlino G, Moraru S, Bax F, Kuris F, Nesi L, Valente M, Ballante E, d'Altilia N, Rascunà C, Morotti A, Mazzacane F, Cavallini AM. Stress hyperglycemia indexes and early neurological deterioration in spontaneous intracerebral hemorrhage. Neurol Sci 2025:10.1007/s10072-025-08097-8. [PMID: 40106104 DOI: 10.1007/s10072-025-08097-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2024] [Accepted: 02/28/2025] [Indexed: 03/22/2025]
Abstract
AIM To evaluate the relationship of early neurological deterioration (END) with admission glycemia (aG) and new stress hyperglycemia indexes in spontaneous intracerebral hemorrhage (ICH) patients. METHODS The present retrospective study included 171 ICH patients from two stroke centers. END was defined as an increase ≥ 4 points in National Institutes of Health Stroke Scale and/or a decrease ≥ 2 points in Glasgow Coma Scale within 72 hours from admission. The included stress hyperglycemia indexes were glycemic gap (GGAP), stress hyperglycemia ratio (SHR), and glucose-glycated hemoglobin ratio. GGAP was calculated as aG - 28,7*glycated hemoglobin + 46,7; SHR as aG / (28,7*glycated hemoglobin - 46,7); Glucose-glycated hemoglobin ratio as aG / glycated hemoglobin. We performed univariate and multivariate analyses for END. The receiver operating characteristic curves were built for END-related glycemic measures; area under curves (AUC) were calculated and compared. The optimized threshold values were calculated, and significant glycemic measures were dichotomized. Univariate and multivariate analyses were performed for the dichotomized measures. RESULTS END was present in 21 patients (12.3%) and was significantly associated with GGAP, SHR and glucose-glycated hemoglobin ratio, but not with aG. The AUC of the three stress hyperglycemia indexes did not differ significantly. The optimized cutoffs were 35.68 (sensitivity 0.47, specificity 0.81), 1.15 (sensitivity 0.62, specificity 0.68), and 26.67(sensitivity 0.43, specificity 0.80) for GGAP, SHR, and glucose-glycated hemoglobin ratio respectively. END was also associated with all stress hyperglycemia indexes expressed as categorical variables. CONCLUSION GGAP, SHR, and glucose-glycated hemoglobin ratio were predictors of END in ICH patients.
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Affiliation(s)
- Carmelo Tiberio Currò
- Department of Brain and Behavioural Sciences, University of Pavia, Viale Golgi 19, Pavia, 27100, Italy.
- Department of Cerebrovascular Disease/Stroke Unit, IRCCS Mondino Foundation, Via Mondino 2, Pavia, 27100, Italy.
| | - Federica Ferrari
- Department of Brain and Behavioural Sciences, University of Pavia, Viale Golgi 19, Pavia, 27100, Italy
- Department of Cerebrovascular Disease/Stroke Unit, IRCCS Mondino Foundation, Via Mondino 2, Pavia, 27100, Italy
| | - Giovanni Merlino
- Department of Head-Neck and Neuroscience, Stroke Unit, Udine University Hospital, Piazzale Santa Maria della Misericordia 15, Udine, 33100, Italy
- Department of Medical Area, University of Udine, Via Colugna 50, Udine, 33100, Italy
| | - Stefan Moraru
- Department of Brain and Behavioural Sciences, University of Pavia, Viale Golgi 19, Pavia, 27100, Italy
- Department of Cerebrovascular Disease/Stroke Unit, IRCCS Mondino Foundation, Via Mondino 2, Pavia, 27100, Italy
| | - Francesco Bax
- Department of Head-Neck and Neuroscience, Stroke Unit, Udine University Hospital, Piazzale Santa Maria della Misericordia 15, Udine, 33100, Italy
| | - Fedra Kuris
- Department of Head-Neck and Neuroscience, Stroke Unit, Udine University Hospital, Piazzale Santa Maria della Misericordia 15, Udine, 33100, Italy
- Department of Medical Area, University of Udine, Via Colugna 50, Udine, 33100, Italy
| | - Lorenzo Nesi
- Department of Head-Neck and Neuroscience, Stroke Unit, Udine University Hospital, Piazzale Santa Maria della Misericordia 15, Udine, 33100, Italy
- Department of Medical Area, University of Udine, Via Colugna 50, Udine, 33100, Italy
| | - Mariarosaria Valente
- Department of Head-Neck and Neuroscience, Stroke Unit, Udine University Hospital, Piazzale Santa Maria della Misericordia 15, Udine, 33100, Italy
- Department of Medical Area, University of Udine, Via Colugna 50, Udine, 33100, Italy
| | - Elena Ballante
- Political and Social Sciences, University of Pavia, Corso Carlo Alberto 3, Pavia, 27100, Italy
- BioData Science Center, IRCCS Mondino Foundation, Via Mondino 2, Pavia, 27100, Italy
| | - Nicola d'Altilia
- Department of Brain and Behavioural Sciences, University of Pavia, Viale Golgi 19, Pavia, 27100, Italy
- Department of Cerebrovascular Disease/Stroke Unit, IRCCS Mondino Foundation, Via Mondino 2, Pavia, 27100, Italy
| | - Cristina Rascunà
- Department of Cerebrovascular Disease/Stroke Unit, IRCCS Mondino Foundation, Via Mondino 2, Pavia, 27100, Italy
| | - Andrea Morotti
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, 25123, Italy
| | - Federico Mazzacane
- Department of Brain and Behavioural Sciences, University of Pavia, Viale Golgi 19, Pavia, 27100, Italy
- Department of Cerebrovascular Disease/Stroke Unit, IRCCS Mondino Foundation, Via Mondino 2, Pavia, 27100, Italy
| | - Anna Maria Cavallini
- Department of Cerebrovascular Disease/Stroke Unit, IRCCS Mondino Foundation, Via Mondino 2, Pavia, 27100, Italy
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Gebrin T, Neodini JP, Gentil AF, Ribas EC, Lenza M, Poetscher AW. Tranexamic acid in the management of traumatic brain injury: a systematic review and meta-analysis with trial sequential analysis. EINSTEIN-SAO PAULO 2025; 23:eRW0753. [PMID: 40053050 PMCID: PMC11869795 DOI: 10.31744/einstein_journal/2025rw0753] [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: 11/04/2023] [Accepted: 05/06/2024] [Indexed: 03/10/2025] Open
Abstract
INTRODUCTION Traumatic brain injury is a leading cause of death and disability. Tranexamic acid, an antifibrinolytic agent, holds the potential for managing intracranial hemorrhages secondary to traumatic brain injury. However, its efficacy and safety remain subjects of ongoing debate. OBJECTIVE To better clarify the efficacy and safety of tranexamic acid in that context and to evaluate the need for further studies. METHODS We conducted a comprehensive search of seven electronic databases, eight study repositories, and tertiary sources between January 2021 and 2022 for randomized controlled trials involving victims of traumatic brain injury aged 15 or older who received tranexamic acid versus placebo or standard care. The primary outcomes were all-cause mortality and hemorrhagic complications during treatment. This review incorporated elements of PRISMA guidelines, Cochrane's Risk of Bias assessment, and GRADE to assess evidence quality. Sensitivity analyses were also conducted. RESULTS Out of 6,958 references retrieved, 14 of the 17 randomized controlled trials were analyzed, encompassing a total of 15,017 patients. Analyses for all-cause mortality did not reach statistical significance (RR= 0.95, 95%CI= 0.88-1.02 | trial sequential analysis RR= 0.95, 95%CI= 0.87-1.03). However, the analysis of hemorrhagic complications during treatment showed statistical significance for progressive intracranial hemorrhage (RR= 0.82, 95%CI= 0.68-0.99 | trial sequential analysis RR= 0.82, 95%CI= 0.38-1.78). Analyses of secondary outcomes, namely unfavorable neurological outcome and other adverse effects, did not demonstrate statistical significance. CONCLUSION Tranexamic acid use did not demonstrate efficacy based on all-cause mortality but showed a favorable safety profile. Additional clinical trials may shed light on remaining clinical uncertainties. Prospero database registration: CRD42021221949.
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Affiliation(s)
- Thiago Gebrin
- Faculdade Israelita de Ciências da Saúde Albert EinsteinHospital Israelita Albert EinsteinSão PauloSPBrazil Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
| | - Júlia Pinho Neodini
- Faculdade Israelita de Ciências da Saúde Albert EinsteinHospital Israelita Albert EinsteinSão PauloSPBrazil Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
| | - André Felix Gentil
- Faculdade Israelita de Ciências da Saúde Albert EinsteinHospital Israelita Albert EinsteinSão PauloSPBrazil Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
- Hospital Israelita Albert EinsteinSão PauloSPBrazil Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
| | - Eduardo Carvalhal Ribas
- Faculdade Israelita de Ciências da Saúde Albert EinsteinHospital Israelita Albert EinsteinSão PauloSPBrazil Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
- Hospital Israelita Albert EinsteinSão PauloSPBrazil Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
| | - Mario Lenza
- Faculdade Israelita de Ciências da Saúde Albert EinsteinHospital Israelita Albert EinsteinSão PauloSPBrazil Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
- Hospital Israelita Albert EinsteinSão PauloSPBrazil Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
| | - Arthur Werner Poetscher
- Faculdade Israelita de Ciências da Saúde Albert EinsteinHospital Israelita Albert EinsteinSão PauloSPBrazil Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
- Hospital Israelita Albert EinsteinSão PauloSPBrazil Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
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You S, Zheng D, Chen X, Wang X, Ouyang M, Han Q, Cao Y, Delcourt C, Song L, Carcel C, Arima H, Liu CF, Lindley RI, Robinson T, Anderson CS, Chalmers J. Subacute Neurological Improvement Predicts Favorable Functional Recovery After Intracerebral Hemorrhage: INTERACT2 Study. Stroke 2025; 56:621-627. [PMID: 39895502 DOI: 10.1161/strokeaha.124.048847] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2024] [Revised: 10/23/2024] [Accepted: 12/03/2024] [Indexed: 02/04/2025]
Abstract
BACKGROUND The frequency and prognostic significance of subacute neurological improvement (SNI) on 90-day outcomes after acute intracerebral hemorrhage are unknown. METHODS Secondary analyses of participant data from the INTERACT2 trial (Second Intensive Blood Pressure Reduction in Acute Intracerebral Hemorrhage Trial). SNI included any, moderate, significant, and substantial neurological improvement defined as ≥1, ≥2, ≥3, and ≥4 points decrease, respectively, on the National Institutes of Health Stroke Scale from 24 hours to 7 days after intracerebral hemorrhage. Logistic regression models were used to assess associations of SNI and death or major disability (modified Rankin Scale score of 3-6), major disability (modified Rankin Scale scores, 3-5), and death alone at 90 days. Data are reported as odds ratios and 95% CIs. RESULTS Of 2571 patients included in analyses, 1492 (58.0%), 1057 (41.1%), 731 (28.4%), and 490 (19.1%) patients experienced any, moderate, significant, and substantial SNI (24 hours to 7 days) after intracerebral hemorrhage, respectively. After adjustment for key confounders, any SNI was associated with 49%, 25%, and 65% reduced odds of death or major disability (odds ratio, 0.51 [95% CI, 0.42-0.63]), major disability alone (odds ratio, 0.75 [95% CI, 0.63-0.90]), and death (odds ratio, 0.35 [95% CI, 0.24-0.50]), respectively. Moderate, significant, and substantial SNI were also significantly associated with decreased odds of death or major disability at 90 days. The relationship between any SNI and study outcomes was consistent in most subgroups, including age and baseline hematoma volume. Early intensive blood pressure-lowering treatment did not increase the odds of SNI. CONCLUSIONS SNI from 24 hours to 7 days is common after intracerebral hemorrhage and predicts a lower likelihood of death or major disability. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT00716079.
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Affiliation(s)
- Shoujiang You
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of SooChow University, Suzhou, China (S.Y., Y.C., C.-F.L.)
| | - Danni Zheng
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia (D.Z., X.C., X.W., M.O., C.D., L.S., C.C., R.I.L., C.S.A., J.C.)
| | - Xiaoying Chen
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia (D.Z., X.C., X.W., M.O., C.D., L.S., C.C., R.I.L., C.S.A., J.C.)
| | - Xia Wang
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia (D.Z., X.C., X.W., M.O., C.D., L.S., C.C., R.I.L., C.S.A., J.C.)
| | - Menglu Ouyang
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia (D.Z., X.C., X.W., M.O., C.D., L.S., C.C., R.I.L., C.S.A., J.C.)
| | - Qiao Han
- Department of Neurology, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, China (Q.H.)
| | - Yongjun Cao
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of SooChow University, Suzhou, China (S.Y., Y.C., C.-F.L.)
| | - Candice Delcourt
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia (D.Z., X.C., X.W., M.O., C.D., L.S., C.C., R.I.L., C.S.A., J.C.)
- Macquarie University, Department of Clinical Medicine, Faculty of Medicine, Health and Human Sciences, Sydney, New South Wales, Australia (C.D.)
| | - Lili Song
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia (D.Z., X.C., X.W., M.O., C.D., L.S., C.C., R.I.L., C.S.A., J.C.)
- The Institute of Science and Technology for Brain-Inspired Research, Fudan University, Shanghai, China (L.S., C.S.A.)
| | - Cheryl Carcel
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia (D.Z., X.C., X.W., M.O., C.D., L.S., C.C., R.I.L., C.S.A., J.C.)
| | - Hisatomi Arima
- Department of Preventive Medicine and Public Health, Fukuoka University, Japan (H.A.)
| | - Chun-Feng Liu
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of SooChow University, Suzhou, China (S.Y., Y.C., C.-F.L.)
| | - Richard I Lindley
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia (D.Z., X.C., X.W., M.O., C.D., L.S., C.C., R.I.L., C.S.A., J.C.)
- Westmead Clinical School, University of Sydney, New South Wales, Australia (R.I.L.)
| | - Thompson Robinson
- Department of Cardiovascular Sciences and NIHR Leicester Biomedical Research Centre, University of Leicester, United Kingdom (T.R.)
| | - Craig S Anderson
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia (D.Z., X.C., X.W., M.O., C.D., L.S., C.C., R.I.L., C.S.A., J.C.)
- The Institute of Science and Technology for Brain-Inspired Research, Fudan University, Shanghai, China (L.S., C.S.A.)
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia (C.S.A.)
| | - John Chalmers
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia (D.Z., X.C., X.W., M.O., C.D., L.S., C.C., R.I.L., C.S.A., J.C.)
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Pan B, Li F, Liu C, Li Z, Sun C, Xia K, Xu H, Kong G, Gu L, Cheng K. Predicting functional outcomes of patients with spontaneous intracerebral hemorrhage based on explainable machine learning models: a multicenter retrospective study. Front Neurol 2025; 15:1494934. [PMID: 39866516 PMCID: PMC11757109 DOI: 10.3389/fneur.2024.1494934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2024] [Accepted: 12/23/2024] [Indexed: 01/28/2025] Open
Abstract
Background Spontaneous intracerebral hemorrhage (SICH) is the second most common cause of cerebrovascular disease after ischemic stroke, with high mortality and disability rates, imposing a significant economic burden on families and society. This retrospective study aimed to develop and evaluate an interpretable machine learning model to predict functional outcomes 3 months after SICH. Methods A retrospective analysis was conducted on clinical data from 380 patients with SICH who were hospitalized at three different centers between June 2020 and June 2023. Seventy percent of the samples were randomly selected as the training set, while the remaining 30% were used as the validation set. Univariate analysis, Least Absolute Shrinkage and Selection Operator (LASSO) regression, and Pearson correlation analysis were used to screen clinical variables. The selected variables were then incorporated into five machine learning models: complementary naive bayes (CNB), support vector machine (SVM), gaussian naive bayes (GNB), multilayer perceptron (MLP), and extreme gradient boosting (XGB), to assess their performance. Additionally, the area under the curve (AUC) values were evaluated to compare the performance of each algorithmic model, and global and individual interpretive analyses were conducted using importance ranking and Shapley additive explanations (SHAP). Results Among the 380 patients, 95 ultimately had poor prognostic outcomes. In the validation set, the AUC values for CNB, SVM, GNB, MLP, and XGB models were 0.899 (0.816-0.979), 0.916 (0.847-0.982), 0.730 (0.602-0.857), 0.913 (0.834-0.986), and 0.969 (0.937-0.998), respectively. Therefore, the XGB model performed the best among the five algorithms. SHAP analysis revealed that the GCS score, hematoma volume, blood pressure changes, platelets, age, bleeding location, and blood glucose levels were the most important variables for poor prognosis. Conclusion The XGB model developed in this study can effectively predict the risk of poor prognosis in patients with SICH, helping clinicians make personalized and rational clinical decisions. Prognostic risk in patients with SICH is closely associated with GCS score, hematoma volume, blood pressure changes, platelets, age, bleeding location, and blood glucose levels.
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Affiliation(s)
- Bin Pan
- Department of Emergency Intensive Care Unit, Changshu Hospital Affiliated to Soochow University, Changshu, China
| | - Fengda Li
- Department of Neurosurgery, Changshu Hospital Affiliated to Soochow University, Changshu, China
| | - Chuanghong Liu
- Department of Neurosurgery, Changshu Hospital Affiliated to Soochow University, Changshu, China
| | - Zeyi Li
- School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Chengfa Sun
- Department of Neurosurgery, Changshu No.2 People's Hospital, The Affiliated Changshu Hospital of Nantong University, Changshu, China
| | - Kaijian Xia
- Intelligent Medical Technology Research Center, Changshu Hospital Affiliated to Soochow University, Changshu, China
| | - Hong Xu
- Department of Neurosurgery, Changshu Hospital Affiliated to Soochow University, Changshu, China
| | - Gang Kong
- Department of Neurosurgery, Changshu Hospital Affiliated to Soochow University, Changshu, China
| | - Longyuan Gu
- Department of Neurosurgery, Ji'an Central People's Hospital, Ji'an, China
| | - Kaiyuan Cheng
- Department of Neurosurgery, Changshu Hospital Affiliated to Soochow University, Changshu, China
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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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Hollingworth M, Woodhouse LJ, Law ZK, Ali A, Krishnan K, Dineen RA, Christensen H, England TJ, Roffe C, Werring D, Peters N, Ciccone A, Robinson T, Członkowska A, Bereczki D, Egea-Guerrero JJ, Ozturk S, Bath PM, Sprigg N. The Effect of Tranexamic Acid on Neurosurgical Intervention in Spontaneous Intracerebral Hematoma: Data From 121 Surgically Treated Participants From the Tranexamic Acid in IntraCerebral Hemorrhage-2 Randomized Controlled Trial. Neurosurgery 2024; 95:605-616. [PMID: 38785451 PMCID: PMC11302947 DOI: 10.1227/neu.0000000000002961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 01/28/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND AND OBJECTIVES An important proportion of patients with spontaneous intracerebral hemorrhage (ICH) undergo neurosurgical intervention to reduce mass effect from large hematomas and control the complications of bleeding, including hematoma expansion and hydrocephalus. The Tranexamic acid (TXA) for hyperacute primary IntraCerebral Hemorrhage (TICH-2) trial demonstrated that tranexamic acid (TXA) reduces the risk of hematoma expansion. We hypothesized that TXA would reduce the frequency of surgery (primary outcome) and improve functional outcome at 90 days in surgically treated patients in the TICH-2 data set. METHODS Participants enrolled in TICH-2 were randomized to placebo or TXA. Participants randomized to either TXA or placebo were analyzed for whether they received neurosurgery within 7 days and their characteristics, outcomes, hematoma volumes (HVs) were compared. Characteristics and outcomes of participants who received surgery were also compared with those who did not. RESULTS Neurosurgery was performed in 5.2% of participants (121/2325), including craniotomy (57%), hematoma drainage (33%), and external ventricular drainage (21%). The number of patients receiving surgery who received TXA vs placebo were similar at 4.9% (57/1153) and 5.5% (64/1163), respectively (odds ratio [OR] 0.893; 95% CI 0.619-1.289; P -value = .545). TXA did not improve outcome compared with placebo in either surgically treated participants (OR 0.79; 95% CI 0.30-2.09; P = .64) or those undergoing hematoma evacuation by drainage or craniotomy (OR 1.19 95% 0.51-2.78; P -value = .69). Postoperative HV was not reduced by TXA (mean difference -8.97 95% CI -23.77, 5.82; P -value = .45). CONCLUSION TXA was not associated with less neurosurgical intervention, reduced HV, or improved outcomes after surgery.
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Affiliation(s)
- Milo Hollingworth
- Department of Neurosurgery, Nottingham University Hospitals, Nottingham, UK
- Stroke Trials Unit, Mental Health & Clinical Neurosciences, Queen's Medical Centre, School of Medicine, University of Nottingham, Nottingham, UK
| | - Lisa J. Woodhouse
- Stroke Trials Unit, Mental Health & Clinical Neurosciences, Queen's Medical Centre, School of Medicine, University of Nottingham, Nottingham, UK
| | - Zhe K. Law
- Stroke Trials Unit, Mental Health & Clinical Neurosciences, Queen's Medical Centre, School of Medicine, University of Nottingham, Nottingham, UK
- Department of Medicine, Faculty of Medicine, National University of Malaysia, Kuala Lumpur, Malaysia
| | - Azlinawati Ali
- Stroke Trials Unit, Mental Health & Clinical Neurosciences, Queen's Medical Centre, School of Medicine, University of Nottingham, Nottingham, UK
- Faculty of Health Sciences, School of Medical Imaging, University of Sultan Zainal Abidin, Kuala Nerus, Malaysia
| | - Kailash Krishnan
- Stroke Trials Unit, Mental Health & Clinical Neurosciences, Queen's Medical Centre, School of Medicine, University of Nottingham, Nottingham, UK
- Stroke, Department of Acute Medicine, Nottingham University Hospitals, Nottingham, UK
| | - Robert A. Dineen
- Radiological Sciences, Mental Health and Clinical Neuroscience, University of Nottingham, Nottingham, UK
- NIHR Nottingham Biomedical Research Centre, Nottingham, UK
| | - Hanne Christensen
- Department of Neurology, Copenhagen University Hospital, Bispebjerg, Denmark
| | - Timothy J. England
- Stroke Trials Unit, Mental Health & Clinical Neurosciences, Queen's Medical Centre, School of Medicine, University of Nottingham, Nottingham, UK
- Stroke, Royal Derby Hospital, University Hospitals of Derby and Burton, Derby, UK
| | - Christine Roffe
- Stroke Research, School of Medicine, Keele University, Newcastle under Lyme, UK
| | - David Werring
- Stroke Research Centre, Brain Repair & Rehabilitation, UCL Queen Square Institute of Neurology, London, UK
| | - Nils Peters
- Stroke Center and Department of Neurology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Alfonso Ciccone
- Azienda Socio Sanitaria Territoriale di Mantova, Mantova, Italy
| | | | | | - Dániel Bereczki
- Department of Neurology, Semmelweis University, Budapest, Hungary
| | | | - Serefnur Ozturk
- Department of Neurology, Neurointensive Care- Stroke Center, Selcuk University Faculty of Medicine, Konya, Turkey
| | - Philip M. Bath
- Stroke Trials Unit, Mental Health & Clinical Neurosciences, Queen's Medical Centre, School of Medicine, University of Nottingham, Nottingham, UK
- Stroke, Department of Acute Medicine, Nottingham University Hospitals, Nottingham, UK
| | - Nikola Sprigg
- Stroke Trials Unit, Mental Health & Clinical Neurosciences, Queen's Medical Centre, School of Medicine, University of Nottingham, Nottingham, UK
- Stroke, Department of Acute Medicine, Nottingham University Hospitals, Nottingham, UK
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10
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Bouras M, Bourdiol A, Rooze P, Hourmant Y, Caillard A, Roquilly A. Tranexamic acid: a narrative review of its current role in perioperative medicine and acute medical bleeding. Front Med (Lausanne) 2024; 11:1416998. [PMID: 39170034 PMCID: PMC11335516 DOI: 10.3389/fmed.2024.1416998] [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: 04/13/2024] [Accepted: 07/31/2024] [Indexed: 08/23/2024] Open
Abstract
Purpose Tranexamic acid (TXA) is the most widely prescribed antifibrinolytic for active bleeding or to prevent surgical bleeding. Despite numerous large multi-center randomized trials involving thousands of patients being conducted, TXA remains underutilized in indications where it has demonstrated efficacy and a lack of harmful effects. This narrative review aims to provide basic concepts about fibrinolysis and TXA's mode of action and is focused on the most recent and important trials evaluating this drug in different hemorrhagic situations. Methods We selected every low bias RCT, and we highlighted their strengths and limitations throughout this review. Principal findings While TXA appears to have a favorable benefit-risk ratio in most situations (trauma, obstetrics, at-risk for bleeding surgeries) evidence of benefit is lacking in certain medical settings (SAH, digestive bleeding). Conclusion Although in some situations the drug's effect on significant outcomes is modest, its favorable safety profile allows it to be recommended for trauma patients, in obstetrics, and in scheduled surgeries at risk of bleeding. However, it cannot be recommended in cases of spontaneous intracranial bleeding, subarachnoid hemorrhage (SAH), or gastrointestinal bleeding.
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Affiliation(s)
- Marwan Bouras
- CHU Brest, Anesthesiology and Intensive Care Unit, Brest, France
- INSERM UMR 1064 CR2TI, University of Nantes, Nantes, France
| | - Alexandre Bourdiol
- CHU Nantes, Anesthesiology and Intensive Care Unit, CIC Immunology and Infection, Nantes, France
| | - Paul Rooze
- CHU Nantes, Anesthesiology and Intensive Care Unit, CIC Immunology and Infection, Nantes, France
| | - Yannick Hourmant
- CHU Nantes, Anesthesiology and Intensive Care Unit, CIC Immunology and Infection, Nantes, France
| | - Anaïs Caillard
- CHU Brest, Anesthesiology and Intensive Care Unit, Brest, France
| | - Antoine Roquilly
- INSERM UMR 1064 CR2TI, University of Nantes, Nantes, France
- CHU Nantes, Anesthesiology and Intensive Care Unit, CIC Immunology and Infection, Nantes, France
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11
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Hu Z, Sha Q. Association between serum osmolality and risk of in-hospital mortality in patients with intracerebral hemorrhage. Front Neurol 2024; 15:1410569. [PMID: 39157063 PMCID: PMC11327125 DOI: 10.3389/fneur.2024.1410569] [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: 04/01/2024] [Accepted: 06/24/2024] [Indexed: 08/20/2024] Open
Abstract
Aim This study aimed to analyze the association between serum osmolality and the risk of in-hospital mortality in intracerebral hemorrhage (ICH) patients. Methods In this retrospective cohort study, data of a total of 1,837 ICH patients aged ≥18 years were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV). Serum osmolality and blood urea nitrogen (BUN)-to-creatinine (Cr) ratio (BCR) were used as the main variables to assess their association with the risk of in-hospital mortality in ICH patients after first intensive care unit (ICU) admission using a univariable Cox model. Univariable and multivariable Cox regression analyses were applied to explore the associations between serum osmolality, BCR, and in-hospital mortality of ICH patients. Hazard ratio (HR) and 95% confidence intervals (CIs) were calculated. Results The median survival duration of all participants was 8.29 (4.61-15.24) days. Serum osmolality of ≥295 mmol/L was correlated with an increased risk of in-hospital mortality in patients with ICH (HR = 1.43, 95%CI: 1.14-1.78). BCR of >20 was not significantly associated with the risk of in-hospital mortality in ICH patients. A subgroup analysis indicated an increased risk of in-hospital mortality among ICH patients who were women, belonged to white or Black race, or had complications with acute kidney injury (AKI). Conclusion High serum osmolality was associated with an increased risk of in-hospital mortality among ICH patients.
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Affiliation(s)
- Zhaosuo Hu
- School of Basic Medicine, Anhui Medical University, Hefei, Anhui, China
- Department of Clinical Laboratory, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, China
| | - Quan Sha
- School of Basic Medicine, Anhui Medical University, Hefei, Anhui, China
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12
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Geest V, Oblak JP, Popović KŠ, Nawabi J, Elsayed S, Friedrich C, Böhmer M, Akkurt B, Sporns P, Morotti A, Schlunk F, Steffen P, Broocks G, Meyer L, Hanning U, Thomalla G, Gellissen S, Fiehler J, Frol S, Kniep H. How much of the variance in functional outcome related to intracerebral hemorrhage volume is already apparent in neurological status at admission? J Neurol 2024; 271:5003-5011. [PMID: 38775933 PMCID: PMC11319529 DOI: 10.1007/s00415-024-12427-9] [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: 04/02/2024] [Revised: 04/29/2024] [Accepted: 04/30/2024] [Indexed: 08/13/2024]
Abstract
BACKGROUND Hematoma volume is a major pathophysiological hallmark of acute intracerebral hemorrhage (ICH). We investigated how the variance in functional outcome induced by the ICH volume is explained by neurological deficits at admission using a mediation model. METHODS Patients with acute ICH treated in three tertiary stroke centers between January 2010 and April 2019 were retrospectively analyzed. Mediation analysis was performed to investigate the effect of ICH volume (0.8 ml (5% quantile) versus 130.6 ml (95% quantile)) on the risk of unfavorable functional outcome at discharge defined as modified Rankin Score (mRS) ≥ 3 with mediation through National Institutes of Health Stroke Scale (NIHSS) at admission. Multivariable regression was conducted to identify factors related to neurological improvement and deterioration. RESULTS Three hundred thirty-eight patients were analyzed. One hundred twenty-one patients (36%) achieved mRS ≤ 3 at discharge. Mediation analysis showed that NIHSS on admission explained 30% [13%; 58%] of the ICH volume-induced variance in functional outcome at smaller ICH volume levels, and 14% [4%; 46%] at larger ICH volume levels. Higher ICH volume at admission and brainstem or intraventricular location of ICH were associated with neurological deterioration, while younger age, normotension, lower ICH volumes, and lobar location of ICH were predictors for neurological improvement. CONCLUSION NIHSS at admission reflects 14% of the functional outcome at discharge for larger hematoma volumes and 30% for smaller hematoma volumes. These results underscore the importance of effects not reflected in NIHSS admission for the outcome of ICH patients such as secondary brain injury and early rehabilitation.
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Affiliation(s)
- Vincent Geest
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| | - Janja Pretnar Oblak
- Department of Neurology, University Medical Center Ljubljana, Ljubljana, Slovenia
- Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Katarina Šurlan Popović
- Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
- Department of Neuroradiology, University Medical Center Ljubljana, Ljubljana, Slovenia
| | - Jawed Nawabi
- Department of Neuroradiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Sarah Elsayed
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Constanze Friedrich
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Maik Böhmer
- Department of Radiology, University Hospital Muenster, Muenster, Germany
| | - Burak Akkurt
- Department of Radiology, University Hospital Muenster, Muenster, Germany
| | - Peter Sporns
- Department of Neuroradiology, Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland
| | - Andrea Morotti
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Frieder Schlunk
- Department of Neuroradiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Paul Steffen
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gabriel Broocks
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lukas Meyer
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Susanne Gellissen
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Senta Frol
- Department of Neurology, University Medical Center Ljubljana, Ljubljana, Slovenia
- Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Helge Kniep
- Department of Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Zhu W, Zhou J, Ma B, Fan C. Predictors of early neurological deterioration in patients with intracerebral hemorrhage: a systematic review and meta-analysis. J Neurol 2024; 271:2980-2991. [PMID: 38507074 DOI: 10.1007/s00415-024-12230-6] [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: 01/06/2024] [Revised: 01/26/2024] [Accepted: 01/27/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Early neurological deterioration, a common complication in patients with intracerebral hemorrhage, is associated with poor outcomes. Despite the fact that the prevalence and predictors of early neurological impairment are widely addressed, few studies have consolidated these findings. This study aimed to systematically investigate the prevalence and predictors of early neurological deterioration. METHODS The PubMed, Embase, Cochrane Library, CIHNAL, and Web of Science databases were systematically searched for relevant studies from the inception to December 2023. The data were extracted using a predefined worksheet. Quality assessment was conducted using the Newcastle-Ottawa Scale. Two reviewers independently performed the study selection, data extraction, and quality appraisal. The pooled effect size and 95% confidence intervals were calculated using the STATA 17.0 software package. RESULTS In total, 32 studies and 5,014 patients were included in this meta-analysis. The prevalence of early neurological deterioration was 23% (95% CI 21-26%, p < 0.01). The initial NIHSS score (OR = 1.24, 95% CI 1.17, 1.30, p < 0.01), hematoma volume (OR = 1.07, 95% CI 1.06, 1.09, p < 0.01), intraventricular hemorrhage (OR = 3.50, 95% CI 1.64, 7.47, p < 0.01), intraventricular extension (OR = 3.95, 95% CI 1.96, 7.99, p < 0.01), hematoma expansion (OR = 9.77, 95% CI 4.43, 17.40, p < 0.01), and computed tomographic angiography spot sign (OR = 5.77, 95% CI 1.53, 20.23, p = 0.01) were predictors of early neurological deterioration. The funnel plot and Egger's test revealed significant publication bias (p < 0.001). CONCLUSIONS This meta-analysis revealed a pooled prevalence of early neurological deterioration of 23% in patients with intracerebral hemorrhage. The initial NIHSS score, hematoma volume, intraventricular hemorrhage, intraventricular expansion, hematoma expansion, and spot sign enhanced the probability of early neurological deterioration. These findings provide healthcare providers with an evidence-based basis for detecting and managing early neurological deterioration in patients with intracerebral hemorrhage.
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Affiliation(s)
- Wei Zhu
- Department of Neurosurgery, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Jiehong Zhou
- Department of Ultrasound, West China Hospital, Sichuan University, Chengdu, China
| | - Buyun Ma
- Department of Ultrasound, West China Hospital, Sichuan University, Chengdu, China
| | - Chaofeng Fan
- Department of Neurosurgery, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
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Abou Karam G, Chen MC, Zeevi D, Harms BC, Torres-Lopez VM, Rivier CA, Malhotra A, de Havenon A, Falcone GJ, Sheth KN, Payabvash S. Time-Dependent Changes in Hematoma Expansion Rate after Supratentorial Intracerebral Hemorrhage and Its Relationship with Neurological Deterioration and Functional Outcome. Diagnostics (Basel) 2024; 14:308. [PMID: 38337824 PMCID: PMC10855868 DOI: 10.3390/diagnostics14030308] [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: 01/11/2024] [Revised: 01/29/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Hematoma expansion (HE) following an intracerebral hemorrhage (ICH) is a modifiable risk factor and a treatment target. We examined the association of HE with neurological deterioration (ND), functional outcome, and mortality based on the time gap from onset to baseline CT. METHODS We included 567 consecutive patients with supratentorial ICH and baseline head CT within 24 h of onset. ND was defined as a ≥4-point increase on the NIH stroke scale (NIHSS) or a ≥2-point drop on the Glasgow coma scale. Poor outcome was defined as a modified Rankin score of 4 to 6 at 3-month follow-up. RESULTS The rate of HE was higher among those scanned within 3 h (124/304, 40.8%) versus 3 to 24 h post-ICH onset (53/263, 20.2%) (p < 0.001). However, HE was an independent predictor of ND (p < 0.001), poor outcome (p = 0.010), and mortality (p = 0.003) among those scanned within 3 h, as well as those scanned 3-24 h post-ICH (p = 0.043, p = 0.037, and p = 0.004, respectively). Also, in a subset of 180/567 (31.7%) patients presenting with mild symptoms (NIHSS ≤ 5), hematoma growth was an independent predictor of ND (p = 0.026), poor outcome (p = 0.037), and mortality (p = 0.027). CONCLUSION Despite decreasing rates over time after ICH onset, HE remains an independent predictor of ND, functional outcome, and mortality among those presenting >3 h after onset or with mild symptoms.
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Affiliation(s)
- Gaby Abou Karam
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT 06520, USA; (G.A.K.); (M.-C.C.); (D.Z.); (B.C.H.); (A.M.)
| | - Min-Chiun Chen
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT 06520, USA; (G.A.K.); (M.-C.C.); (D.Z.); (B.C.H.); (A.M.)
| | - Dorin Zeevi
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT 06520, USA; (G.A.K.); (M.-C.C.); (D.Z.); (B.C.H.); (A.M.)
| | - Bendix C. Harms
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT 06520, USA; (G.A.K.); (M.-C.C.); (D.Z.); (B.C.H.); (A.M.)
| | - Victor M. Torres-Lopez
- Department of Neurology, Yale University School of Medicine, New Haven, CT 06520, USA; (V.M.T.-L.); (C.A.R.); (A.d.H.); (G.J.F.); (K.N.S.)
| | - Cyprien A. Rivier
- Department of Neurology, Yale University School of Medicine, New Haven, CT 06520, USA; (V.M.T.-L.); (C.A.R.); (A.d.H.); (G.J.F.); (K.N.S.)
| | - Ajay Malhotra
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT 06520, USA; (G.A.K.); (M.-C.C.); (D.Z.); (B.C.H.); (A.M.)
| | - Adam de Havenon
- Department of Neurology, Yale University School of Medicine, New Haven, CT 06520, USA; (V.M.T.-L.); (C.A.R.); (A.d.H.); (G.J.F.); (K.N.S.)
- Center for Brain and Mind Health, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Guido J. Falcone
- Department of Neurology, Yale University School of Medicine, New Haven, CT 06520, USA; (V.M.T.-L.); (C.A.R.); (A.d.H.); (G.J.F.); (K.N.S.)
- Center for Brain and Mind Health, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Kevin N. Sheth
- Department of Neurology, Yale University School of Medicine, New Haven, CT 06520, USA; (V.M.T.-L.); (C.A.R.); (A.d.H.); (G.J.F.); (K.N.S.)
- Center for Brain and Mind Health, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Seyedmehdi Payabvash
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT 06520, USA; (G.A.K.); (M.-C.C.); (D.Z.); (B.C.H.); (A.M.)
- Center for Brain and Mind Health, Yale University School of Medicine, New Haven, CT 06520, USA
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Lv X, Cheng J, Liu X, Liu J, Deng L, Li Z, Pu M, Chen C, Li Q. Ultraearly Intraventricular Hemorrhage Growth Predicts Early Neurologic Deterioration and Poor Functional Outcome After Acute Intracerebral Hemorrhage. J Am Heart Assoc 2023; 12:e031214. [PMID: 37850494 PMCID: PMC10727419 DOI: 10.1161/jaha.123.031214] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 09/20/2023] [Indexed: 10/19/2023]
Abstract
Background The presence of intraventricular hemorrhage (IVH) was extensively investigated and was associated with poor outcome in patients with intracerebral hemorrhage (ICH). However, the effect of the speed of ventricular bleeding on outcomes is unknown. Methods and Results We prospectively included patients with ICH who had baseline computed tomography scans within 6 hours after ictus between January 2016 and October 2021. The clinical characteristics were compared between patients with and without early neurologic deterioration (END). Ultraearly IVH growth (uIVHG) was defined as baseline IVH volume by onset-to-imaging time. The association between uIVHG and outcomes was assessed by using multivariable logistic regression analysis. We established the ultraearly IVH growth (uIVH) score and compared the areas under the receiver operating characteristic curves of the existing scores for predicting END. A total of 299 patients were finally enrolled. Of those, 38 patients (12.7%) experienced END at 24 hours and 89 patients (29.8%) had poor outcomes at 90 days. After adjustment for confounding factors, uIVHG (odds ratio, 1.061 [95% CI, 1.011-1.113]; P=0.016) was independently associated with END in multivariable analysis. A prediction score was developed on the basis of the logistic model. The uIVH score was developed as a sum of individual points (0-6) based on age, hematoma volume, National Institutes of Health Stroke Scale, hematoma expansion, and uIVHG ≥2.5 mL/h. In comparison with the ICH score and modified Emergency Department ICH Scale, the uIVH score exhibited best performance in the prediction of END. Conclusions uIVHG is associated with early neurologic deterioration and poor functional outcome in patients with ICH.
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Affiliation(s)
- Xin‐Ni Lv
- Department of NeurologyThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Jing Cheng
- Department of Neurology and NeurosurgeryThe Third Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Xue‐Yun Liu
- Department of NeurologyThe Second Affiliated Hospital of Anhui Medical UniversityHefeiAnhuiChina
| | - Jin‐Cheng Liu
- Department of Neurology, Xiangyang Hospital of Traditional Chinese MedicineXiangyangHubeiChina
| | - Lan Deng
- Department of NeurologyThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Zuo‐Qiao Li
- Department of NeurologyThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Ming‐Jun Pu
- Department of NeurologyThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Chu Chen
- Department of NeurologyThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Qi Li
- Department of NeurologyThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina
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Eilertsen H, Menon CS, Law ZK, Chen C, Bath PM, Steiner T, Desborough MJ, Sandset EC, Sprigg N, Al-Shahi Salman R. Haemostatic therapies for stroke due to acute, spontaneous intracerebral haemorrhage. Cochrane Database Syst Rev 2023; 10:CD005951. [PMID: 37870112 PMCID: PMC10591281 DOI: 10.1002/14651858.cd005951.pub5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2023]
Abstract
BACKGROUND Outcome after acute spontaneous (non-traumatic) intracerebral haemorrhage (ICH) is influenced by haematoma volume. ICH expansion occurs in about 20% of people with acute ICH. Early haemostatic therapy might improve outcome by limiting ICH expansion. This is an update of a Cochrane Review first published in 2006, and last updated in 2018. OBJECTIVES To examine 1. the effects of individual classes of haemostatic therapies, compared with placebo or open control, in adults with acute spontaneous ICH, and 2. the effects of each class of haemostatic therapy according to the use and type of antithrombotic drug before ICH onset. SEARCH METHODS We searched the Cochrane Stroke Trials Register, CENTRAL (2022, Issue 8), MEDLINE Ovid, and Embase Ovid on 12 September 2022. To identify further published, ongoing, and unpublished randomised controlled trials (RCTs), we scanned bibliographies of relevant articles and searched international registers of RCTs in September 2022. SELECTION CRITERIA We included RCTs of any haemostatic intervention (i.e. procoagulant treatments such as clotting factor concentrates, antifibrinolytic drugs, platelet transfusion, or agents to reverse the action of antithrombotic drugs) for acute spontaneous ICH, compared with placebo, open control, or an active comparator. DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. Our primary outcome was death/dependence (modified Rankin Scale (mRS) 4 to 6) by day 90. Secondary outcomes were ICH expansion on brain imaging after 24 hours, all serious adverse events, thromboembolic adverse events, death from any cause, quality of life, mood, cognitive function, Barthel Index score, and death or dependence measured on the Extended Glasgow Outcome Scale by day 90. MAIN RESULTS We included 20 RCTs involving 4652 participants: nine RCTs of recombinant activated factor VII (rFVIIa) versus placebo/open control (1549 participants), eight RCTs of antifibrinolytic drugs versus placebo/open control (2866 participants), one RCT of platelet transfusion versus open control (190 participants), and two RCTs of prothrombin complex concentrates (PCC) versus fresh frozen plasma (FFP) (47 participants). Four (20%) RCTs were at low risk of bias in all criteria. For rFVIIa versus placebo/open control for spontaneous ICH with or without surgery there was little to no difference in death/dependence by day 90 (risk ratio (RR) 0.88, 95% confidence interval (CI) 0.74 to 1.05; 7 RCTs, 1454 participants; low-certainty evidence). We found little to no difference in ICH expansion between groups (RR 0.81, 95% CI 0.56 to 1.16; 4 RCTs, 220 participants; low-certainty evidence). There was little to no difference in all serious adverse events and death from any cause between groups (all serious adverse events: RR 0.81, 95% CI 0.30 to 2.22; 2 RCTs, 87 participants; very low-certainty evidence; death from any cause: RR 0.78, 95% CI 0.56 to 1.08; 8 RCTs, 1544 participants; moderate-certainty evidence). For antifibrinolytic drugs versus placebo/open control for spontaneous ICH, there was no difference in death/dependence by day 90 (RR 1.00, 95% CI 0.93 to 1.07; 5 RCTs, 2683 participants; high-certainty evidence). We found a slight reduction in ICH expansion with antifibrinolytic drugs for spontaneous ICH compared to placebo/open control (RR 0.86, 95% CI 0.76 to 0.96; 8 RCTs, 2866 participants; high-certainty evidence). There was little to no difference in all serious adverse events and death from any cause between groups (all serious adverse events: RR 1.02, 95% CI 0.75 to 1.39; 4 RCTs, 2599 participants; high-certainty evidence; death from any cause: RR 1.02, 95% CI 0.89 to 1.18; 8 RCTs, 2866 participants; high-certainty evidence). There was little to no difference in quality of life, mood, or cognitive function (quality of life: mean difference (MD) 0, 95% CI -0.03 to 0.03; 2 RCTs, 2349 participants; mood: MD 0.30, 95% CI -1.98 to 2.57; 2 RCTs, 2349 participants; cognitive function: MD -0.37, 95% CI -1.40 to 0.66; 1 RCTs, 2325 participants; all high-certainty evidence). Platelet transfusion likely increases death/dependence by day 90 compared to open control for antiplatelet-associated ICH (RR 1.29, 95% CI 1.04 to 1.61; 1 RCT, 190 participants; moderate-certainty evidence). We found little to no difference in ICH expansion between groups (RR 1.32, 95% CI 0.91 to 1.92; 1 RCT, 153 participants; moderate-certainty evidence). There was little to no difference in all serious adverse events and death from any cause between groups (all serious adverse events: RR 1.46, 95% CI 0.98 to 2.16; 1 RCT, 190 participants; death from any cause: RR 1.42, 95% CI 0.88 to 2.28; 1 RCT, 190 participants; both moderate-certainty evidence). For PCC versus FFP for anticoagulant-associated ICH, the evidence was very uncertain about the effect on death/dependence by day 90, ICH expansion, all serious adverse events, and death from any cause between groups (death/dependence by day 90: RR 1.21, 95% CI 0.76 to 1.90; 1 RCT, 37 participants; ICH expansion: RR 0.54, 95% CI 0.23 to 1.22; 1 RCT, 36 participants; all serious adverse events: RR 0.27, 95% CI 0.02 to 3.74; 1 RCT, 5 participants; death from any cause: RR 0.49, 95% CI 0.16 to 1.56; 2 RCTs, 42 participants; all very low-certainty evidence). AUTHORS' CONCLUSIONS In this updated Cochrane Review including 20 RCTs involving 4652 participants, rFVIIa likely results in little to no difference in reducing death or dependence after spontaneous ICH with or without surgery; antifibrinolytic drugs result in little to no difference in reducing death or dependence after spontaneous ICH, but result in a slight reduction in ICH expansion within 24 hours; platelet transfusion likely increases death or dependence after antiplatelet-associated ICH; and the evidence is very uncertain about the effect of PCC compared to FFP on death or dependence after anticoagulant-associated ICH. Thirteen RCTs are ongoing and are likely to increase the certainty of the estimates of treatment effect.
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Affiliation(s)
- Helle Eilertsen
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Zhe Kang Law
- Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia
| | - Chen Chen
- The George Institute for Global Health, Faculty of Medicine, UNSW, Sydney, Australia
- The George Institute for Global Health, Beijing, China
- Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Philip M Bath
- Stroke Medicine, University of Nottingham, Nottingham, UK
| | - Thorsten Steiner
- Klinikum Frankfurt Höchst, Frankfurt, Germany
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - Michael Jr Desborough
- Department of Clinical Haematology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Else C Sandset
- Department of Neurology, Oslo University Hospital Ullevål, Oslo, Norway
- The Norwegian Air Ambulance Foundation, Oslo, Norway
| | - Nikola Sprigg
- Stroke Medicine, University of Nottingham, Nottingham, UK
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Gao D, Feng W, Qiao Y, Jiang X, Zhang Y. Development and validation of a random forest model to predict functional outcome in patients with intracerebral hemorrhage. Neurol Sci 2023; 44:3615-3627. [PMID: 37162664 DOI: 10.1007/s10072-023-06824-7] [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: 11/07/2022] [Accepted: 04/20/2023] [Indexed: 05/11/2023]
Abstract
OBJECTIVE To develop and validate a machine learning (ML)-based model to predict functional outcome in Chinese patients with intracerebral hemorrhage (ICH). METHODS This retrospective cohort study enrolled patients with ICH between November 2017 and November 2020. The follow-up period ended in February 2021. The study population was divided into training and testing sets with a ratio of 7:3. All variables were included in the least absolute shrinkage and selection operator (LASSO) regression for feature selection. The selected variables were incorporated into the random forest algorithm to construct the prediction model. The predictive performance of the model was evaluated via the area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and calibration curve. RESULTS A total of 412 ICH patients were included, with 288 in the training set, and 124 in the testing set. Twelve attributes were selected: neurological deterioration, Glasgow Coma Scale (GCS) score at 24 h, baseline GCS score, time from onset to the emergency room, blood glucose, diastolic blood pressure (DBP) change in 24 h, hematoma volume change in 24 h, systemic immune-inflammatory index (SII), systolic blood pressure (SBP) change in 24 h, serum creatinine, serum sodium, and age. In the testing set, the accuracy, AUC, sensitivity, specificity, PPV, and NPV of the model were 0.895, 0.964, 0.872, 0.906, 0.810, and 0.939, respectively. The calibration curves showed a good calibration capability of the model. CONCLUSION This developed random forest model performed well in predicting 3-month poor functional outcome for Chinese ICH patients.
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Affiliation(s)
- Daiquan Gao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xicheng District, Beijing, 100053, China
| | - Wenliang Feng
- Department of Critical Care Medicine, Beijing Fengtai You'anmen Hospital, Beijing, 100063, China
| | - Yuanyuan Qiao
- Intensive Care Unit, Affiliated Hospital of Jining Medical University, Jining, 272029, Shandong, China
| | - Xuebin Jiang
- Department of Critical Care Medicine, Renhe Hospital, Beijing, 102600, China
| | - Yunzhou Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xicheng District, Beijing, 100053, China.
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Yang D, Wang X, Zhang X, Zhu H, Sun S, Mane R, Zhao X, Zhou J. Temporal Evolution of Perihematomal Blood-Brain Barrier Compromise and Edema Growth After Intracerebral Hemorrhage. Clin Neuroradiol 2023; 33:813-824. [PMID: 37185668 PMCID: PMC10449681 DOI: 10.1007/s00062-023-01285-z] [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: 06/02/2022] [Accepted: 02/23/2023] [Indexed: 05/17/2023]
Abstract
PURPOSE The aim of this study was to investigate the temporal evolution of perihematomal blood-brain barrier (BBB) compromise and edema growth and to determine the role of BBB compromise in edema growth. METHODS Spontaneous intracerebral hemorrhage patients who underwent computed tomography perfusion (CTP) were divided into five groups according to the time interval from symptom onset to CTP examination. Permeability-surface area product (PS) maps were generated using CTP source images. Ipsilateral and contralateral mean PS values were computed in the perihematomal and contralateral mirror regions. The relative PS (rPS) value was calculated as a ratio of ipsilateral to contralateral PS value. Hematoma and perihematomal edema volume were determined on non-contrast CT images. RESULTS In the total of 101 intracerebral hemorrhage patients, the ipsilateral mean PS value was significantly higher than that in contralateral region (z = -8.284, p < 0.001). The perihematomal BBB permeability showed a course of dynamic changes including an increase in the hyperacute and acute phases, a decrease in the early subacute phase and a second increase in the late subacute phase and chronic phase. Perihematomal edema increased gradually until the late subacute phase and then slightly increased. There was a relationship between rPS value and edema volume (β = 0.254, p = 0.006). CONCLUSION The perihematomal BBB permeability is dynamic changes, and edema growth is gradually increased in patients following intracerebral hemorrhage. BBB compromise plays an essential role in edema growth. The quantitative assessment of BBB compromise may provide valuable information in therapeutic interventions of intracerebral hemorrhage patients.
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Affiliation(s)
- Dan Yang
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Xin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xue Zhang
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Huachen Zhu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Shengjun Sun
- Department of Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ravikiran Mane
- China National Clinical Research Center-Hanalytics Artificial Intelligence Research Centre for Neurological Disorders, Beijing, China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jian Zhou
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No.119, South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
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Fadaei M, Rahmani S, Barani L, Zilabi S, Omran AghabararZadeh B. A Complex Intracerebral Hemorrhage Case Report: Intracerebral Hemorrhage, Intraventricular Hemorrhage, and Hydrocephalus in an Addicted Patient. Int J Surg Case Rep 2023; 109:108492. [PMID: 37473623 PMCID: PMC10372743 DOI: 10.1016/j.ijscr.2023.108492] [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: 05/15/2023] [Revised: 06/13/2023] [Accepted: 06/27/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND Despite progression, the mortality rate following intracerebral hemorrhage (ICH) is still high; only 25 % of subjects achieve functional independence at three months. The survey presents a complex addicted case report with ICH, intraventricular hemorrhage (IVH), and hydrocephalus co-occurrence. CASE PRESENTATION The patient was a 48-year-old man with a history of hypertension and addiction. On admission time, his GCS was 4/15, desperate in response to painful stimulation. There were no traumatic effects on the body. In response to painful stimulation with his right upper limb, he localized the site of pain. DISCUSSION According to the function of EVD, it was removed three days after surgical treatment, and the patient was extubated seven days after surgery. On the 13th day after surgery, the patient's GCS increased to 12; the patient was OBEY. CONCLUSION In the current survey, we tried to discuss the management of ICH through a complex case and an inferior prognosis. Our data indicated that with proper interpretation and surgical management of ICH, it is possible to save the survival of ICH patients even in complex situations.
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Affiliation(s)
- Mahsa Fadaei
- Department of Emergency, Imam Khomeini Hospital, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Sina Rahmani
- Department of Neurosurgery, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Loghman Barani
- Department of Neurosurgery, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Sanaz Zilabi
- Department of Neurosurgery, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Behzad Omran AghabararZadeh
- Department of Neurosurgery, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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Wu F, Xiong Y, He SL, Wang XH, Chen XL, Chen WC, Huang QM, Huang XY, Pan ZG, Hu WP, He HF, Zheng F. Fever burden within 24 h after hematoma evacuation predicts early neurological deterioration in patients with intracerebral hemorrhage: a retrospective analysis. Front Neurol 2023; 14:1205031. [PMID: 37538253 PMCID: PMC10395082 DOI: 10.3389/fneur.2023.1205031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 07/05/2023] [Indexed: 08/05/2023] Open
Abstract
Background Early neurological deterioration after hematoma evacuation is closely associated with a poor prognosis in patients with intracerebral hemorrhage. However, the relationship between body temperature after hematoma evacuation and early neurological deterioration remains unclear. Therefore, this study aims to explore the possible relationship between body temperature and early neurological deterioration in patients with intracerebral hemorrhage after hematoma evacuation. Methods We retrospectively collected data from patients with cerebral hemorrhage at our institute between January 2017 and April 2022. The Student's t-test, Mann-Whitney U-test, and χ2 Test and Fisher's exact test were used to analyze the clinical baseline data. A univariate logistic regression model was used to evaluate the association between the body temperature indices and early neurological deterioration. The predictive power was assessed using the area under the Receiver Operating Characteristic (ROC) curve. The secondary outcome was a poor functional outcome. Results Among 2,726 patients with intracerebral hemorrhage, 308 who underwent hematoma evacuation were included in the present analysis. A total of 82 patients (22.6%) developed early neurological deterioration. Univariate analysis showed that sex (p = 0.041); body temperature at 6 h (p = 0.005), 12 h (p = 0.01), and 24 h (p = 0.008) after surgery; duration of fever (p = 0.008); and fever burden (p < 0.001) were associated with early neurological deterioration. Multivariate logistic regression showed that fever burden was independently associated with early neurological deterioration (OR = 1.055 per °C × hour, 95%CI 1.008-1.103, p = 0.020). ROC showed that fever burden (AUC = 0.590; 95%CI: 0.514-0.666) could predict the occurrence of early neurological deterioration. Conclusion Fever burden is associated with early neurological deterioration in intracerebral hemorrhage patients undergoing hematoma evacuation. Our findings add to previous evidence on the relationship between the fever burden and the occurrence of early neurological deterioration in patients with intracerebral hemorrhage. Future studies with larger sample sizes are required to confirm these findings.
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Affiliation(s)
- Fan Wu
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Yu Xiong
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Shi-ling He
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Xiao-hua Wang
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Xin-li Chen
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Wei-can Chen
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Qiao-mei Huang
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Xin-yue Huang
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Zhi-gang Pan
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Wei-peng Hu
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - He-fan He
- Department of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Feng Zheng
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
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Li W, Lv X, Ma Y, Cai Y, Zhu S. Prognostic significance of serum NLRC4 in patients with acute supratentorial intracerebral hemorrhage: A prospective longitudinal cohort study. Front Neurol 2023; 14:1125674. [PMID: 36970543 PMCID: PMC10036848 DOI: 10.3389/fneur.2023.1125674] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 02/20/2023] [Indexed: 03/12/2023] Open
Abstract
ObjectiveCaspase activation and recruitment domain-containing protein 4 (NLRC4) is implicated in neuroinflammation. The aim of the study was to discern the potential ability of serum NLRC4 in assessment of prognosis after intracerebral hemorrhage (ICH).MethodsIn this prospective, observational study, serum NLRC4 levels were quantified in 148 acute supratentorial ICH patients and 148 controls. Severity was evaluated using the National Institutes of Health Stroke Scale (NIHSS) and hematoma volume, and poststroke 6-month functional outcome was estimated according to the modified Rankin Scale (mRS). Early neurologic deterioration (END) and 6-month poor outcome (mRS 3–6) were deemed as the two prognostic parameters. Multivariate models were established for investigating associations, and receiver operating characteristic (ROC) curves were configured to indicate predictive capability.ResultsPatients had substantially higher serum NLRC4 levels than controls (median, 363.2 pg/ml vs. 74.7 pg/ml). Serum NLRC4 levels had independent correlation with NIHSS scores [β, 0.308; 95% confidence interval (CI), 0.088–0.520], hematoma volume (β, 0.527; 95% CI, 0.385–0.675), serum C-reactive protein levels (β, 0.288; 95% CI, 0.109–0.341) and 6-month mRS scores (β, 0.239; 95% CI, 0.100–0.474). Serum NLRC4 levels above 363.2 pg/ml were independently predictive of END (odds ratio, 3.148; 95% CI, 1.278–7.752) and 6-month poor outcome (odds ratio, 2.468; 95% CI, 1.036–5.878). Serum NLRC4 levels significantly distinguished END risk [area under ROC curve (AUC), 0.765; 95% CI, 0.685–0.846] and 6-month poor outcome (AUC, 0.795; 95% CI, 0.721–0.870). In terms of predictive ability for 6-month poor outcome, serum NLRC4 levels combined with NIHSS scores and hematoma volume was superior to NIHSS scores combined with hematoma volume, NIHSS scores and hematoma volume (AUC, 0.913 vs. 0.870, 0.864 and 0.835; all P < 0.05). Nomograms were built to reflect prognosis and END risk of combination models, where serum NLRC4, NIHSS scores and hematoma volume were enforced. Calibration curves confirmed stability of combination models.ConclusionsMarkedly raised serum NLRC4 levels following ICH, in close relation to illness severity, are independently associated with poor prognosis. Such results are indicative of the notion that determination of serum NLRC4 may aid in severity assessment and prediction of functional outcome of ICH patients.
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Affiliation(s)
- Wei Li
- Department of Neurosurgery, First People's Hospital of Linping District, Hangzhou, China
- Department of Neurosurgery, Linping Campus, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xuan Lv
- Department of Neurosurgery, First People's Hospital of Linping District, Hangzhou, China
- Department of Neurosurgery, Linping Campus, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yijun Ma
- Department of Neurosurgery, First People's Hospital of Linping District, Hangzhou, China
- Department of Neurosurgery, Linping Campus, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yong Cai
- Department of Neurosurgery, First People's Hospital of Linping District, Hangzhou, China
- Department of Neurosurgery, Linping Campus, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Suijun Zhu
- Department of Neurosurgery, First People's Hospital of Linping District, Hangzhou, China
- Department of Neurosurgery, Linping Campus, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
- *Correspondence: Suijun Zhu
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22
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Increased serum pannexin-1 concentrations reflect illness severity and predict a poor prognosis after acute supratentorial intracerebral hemorrhage: A prospective longitudinal cohort study. Clin Chim Acta 2023; 540:117218. [PMID: 36610467 DOI: 10.1016/j.cca.2023.117218] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 12/28/2022] [Accepted: 01/02/2023] [Indexed: 01/05/2023]
Abstract
BACKGROUND Pannexin-1 is a nonselective, large pore and voltage gated channel protein, whose activation may aggravate acute brain injury. We ascertained the clinical significance of serum pannexin-1 as a prognostic biomarker of acute intracerebral hemorrhage (ICH). METHODS In this prospective, observational study of 124 acute supratentorial ICH patients and 124 healthy controls, serum pannexin-1 concentrations were determined. Admission National Institutes of Health Stroke Scale (NIHSS) score and hematoma volume were used for assessment of hemorrhagic severity, post-stroke 6-month modified Rankin scale (mRS) score was registered to reflect clinical outcome and early neurologic deterioration (END) and 6-month poor outcome (mRS score of 3-6) were regarded as the 2 prognostic parameters. Their associations with serum pannexin-1 concentrations were investigated using multivariate analysis. The predictive performance was evaluated in terms of area under receiver operating characteristic curve (AUC). RESULTS In comparison to controls, significantly increased serum pannexin-1 concentrations after ICH (median, 6.8 vs. 2.7 mg/ml) were independently correlative with NIHSS score (β, 0.193; 95% CI: 0.086-0.300), hematoma volume (β, 0.641; 95% CI: 0.423-0.859) and mRS score (β, 0.199; 95% CI: 0.065-0.174), were independently predictive of END (OR, 1.176; 95% CI: 1.081-1.280) and poor outcome (odds ratio, 1.218; 95% CI: 1.059-1.400), as well as were efficiently discriminative of END (AUC, 0.764; 95% CI: 0.663-0.864) and poor 6-month outcome (AUC, 0.790; 95% CI: 0.711-0.870). Serum pannexin-1 combined with NIHSS score and hematoma volume (AUC, 0.908; 95% CI: 0.857-0.960) displayed significantly higher predictive ability for poor 6-month outcome than NIHSS score and hematoma volume alone (both P < 0.05). CONCLUSION Rising serum pannexin-1 concentrations following ICH, in strong correlation with hemorrhagic severity, independently distinguish the risk of END and 90-day poor outcome. Assumably, serum pannexin-1 may represent a valuable prognostic biomarker of ICH.
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23
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Wang J, Wang D, Bian L, Wang A, Zhang X, Jiang R, Wang W, Ju Y, Lu J, Zhao X. Subarachnoid extension and unfavorable outcomes in patients with supratentorial intracerebral hemorrhage. BMC Neurol 2023; 23:46. [PMID: 36709260 PMCID: PMC9883933 DOI: 10.1186/s12883-023-03087-9] [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: 08/07/2022] [Accepted: 01/24/2023] [Indexed: 01/30/2023] Open
Abstract
OBJECTIVE Our study aimed to investigate the association between the subarachnoid extension of intracranial hemorrhage (SAHE) and clinical outcomes in patients with supratentorial intracerebral hemorrhage (ICH). METHODS We analyzed the data from a prospective, multi-center, and registry-based database. Two experienced investigators independently assessed ICH imaging data. We compared baseline characteristics and follow-up outcomes. Multivariable logistic regression analysis was used to evaluate the association between SAHE and poor clinical outcomes. We also performed Kaplan-Meier curves and Cox proportional hazards regression analyses to analyze whether SAHE was relevant to a higher mortality rate. RESULTS A total of 931 patients were included in this study (SAHE vs. no SAHE, 121 [13.0%] vs. 810 [87.0%]). Patients with SAHE had more severe neurological deficits, higher scores of the mRS, and more remarkable mortality rates at follow-up (all p values < 0.05). In multivariable-adjusted models, SAHE was independently associated with a higher risk of poor outcomes (adjusted OR [95%CI]: 2.030 [1.142-3.608] at 3 months; 2.348 [1.337-4.123] at 1 year). In addition, SAHE remained an independent association with an increased death rate at 1 year (adjusted HR [95%CI], 1.314[1.057-1.635]). In the subgroup analysis, the correlation between SAHE and prognosis exists in patients with lobar or deep ICH. CONCLUSIONS SAHE is independently associated with poor outcomes in patients with supratentorial ICH. It may provide a promising target for developing new predictive tools targeting ICH.
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Affiliation(s)
- Jinjin Wang
- grid.411617.40000 0004 0642 1244Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District Beijing, 100070 China ,grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Dandan Wang
- grid.411617.40000 0004 0642 1244Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District Beijing, 100070 China ,grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Liheng Bian
- grid.411617.40000 0004 0642 1244Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District Beijing, 100070 China ,grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Anxin Wang
- grid.411617.40000 0004 0642 1244Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District Beijing, 100070 China ,grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xiaoli Zhang
- grid.411617.40000 0004 0642 1244Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District Beijing, 100070 China ,grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Ruixuan Jiang
- grid.411617.40000 0004 0642 1244Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District Beijing, 100070 China ,grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Wenjuan Wang
- grid.411617.40000 0004 0642 1244Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District Beijing, 100070 China ,grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yi Ju
- grid.411617.40000 0004 0642 1244Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District Beijing, 100070 China ,grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jingjing Lu
- grid.411617.40000 0004 0642 1244Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District Beijing, 100070 China ,grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xingquan Zhao
- grid.411617.40000 0004 0642 1244Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, Fengtai District Beijing, 100070 China ,grid.411617.40000 0004 0642 1244China National Clinical Research Center for Neurological Diseases, Beijing, China ,grid.506261.60000 0001 0706 7839Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
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24
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Deng L, Li ZQ, Yang WS, Li R, Lv XN, Li YL, Wang ZJ, Hu X, Zhao LB, Lv FJ, Yao ST, Cao F, Xie P, Li Q. Prehospital Ultra-Early Neurological Deterioration in Intracerebral Hemorrhage: Definition, Prevalence, and Association with Outcomes. Cerebrovasc Dis 2022; 52:471-479. [PMID: 36509082 DOI: 10.1159/000527545] [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: 07/14/2022] [Accepted: 10/07/2022] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION The objective of this study was to define prehospital ultra-early neurological deterioration (UND) and to investigate the association with functional outcomes in patients with intracerebral hemorrhage (ICH). METHODS We conducted a prospective cohort study of consecutive acute ICH patients. The stroke severity at onset and hospital admission was assessed using the Chongqing Stroke Scale (CQSS), and prehospital UND was defined as a CQSS increase of ≥2 points between symptoms onset and admission. Early neurological deterioration (END) was defined as the increase of ≥4 points in NIHSS score within the first 24 h after admission. Poor outcome was defined as a modified Rankin Scale (mRS) of 4-6 at 3 months. RESULTS Prehospital UND occurred in 29 of 169 patients (17.2%). Patients with prehospital UND had a median admission NIHSS score of 17.0 as opposed to those without prehospital UND with a median NIHSS score of 8.5. There were three patterns of neurological deterioration: prehospital UND only in 21 of 169 patients (12.4%), END but without prehospital UND in 20 of 169 patients (11.8%), and continuous neurological deterioration in both phases in 8 patients (4.7%). Prehospital UND was associated with worse 3-month outcomes (median mRS score, 4.0 vs. 2.0, p = 0.002). After adjusting for age, time from onset to admission, END, and systolic blood pressure, prehospital UND was an independent predictor of poor outcome (odds ratio [OR] 3.27, 95% confidence interval [CI] 1.26-8.48, p = 0.015). CONCLUSION Prehospital UND occurs in approximately 1 in 7 patients between symptom onset and admission and is associated with poor functional outcome in patients with ICH. Further research is needed to investigate the prehospital UND in the prehospital phase in the triage of patients with ICH.
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Affiliation(s)
- Lan Deng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zuo-Qiao Li
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wen-Song Yang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Rui Li
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xin-Ni Lv
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yu-Lun Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zi-Jie Wang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiao Hu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li-Bo Zhao
- Department of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - Fa-Jin Lv
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Sheng-Tao Yao
- Department of Neurosurgery, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Fang Cao
- Department of Neurosurgery, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Peng Xie
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qi Li
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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25
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Liu T, Mai J, Pang L, Huang Y, Han J, Su W, Chen K, Qin P. Effects of subarachnoid extension following intracerebral hemorrhage: A systematic review and meta-analysis. Medicine (Baltimore) 2022; 101:e32225. [PMID: 36626509 PMCID: PMC9750540 DOI: 10.1097/md.0000000000032225] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND The effects of subarachnoid extension (SAHE) following intracerebral hemorrhage (ICH) have not yet been fully understood. We conducted a systematic review and meta-analysis of published literature on this topic to better understand the effects of SAHE. METHODS PubMed, Embase, and Cochrane databases were thoroughly searched from inception to October 16, 2022 to identify studies that evaluated the association between SAHE and mortality and worse functional outcomes in primary ICH. Crude odds ratios (cOR) and adjusted odds ratios (aOR) with 95% confidence interval (CI) were calculated to compare the endpoints. RESULTS Three studies with 3368 participants were eventually included in the analysis. In the short-term follow-up of the primary endpoint, no association was observed between SAHE and mortality (cOR: 0.51, 95% CI: 0.01-28.19; aOR: 2.31, 95% CI: 0.72-7.45). In the long-term follow-up of the primary endpoint, SAHE was associated with a significantly increased mortality of patients with primary ICH (cOR: 3.00, 95% CI: 2.27-3.98); however, only 1 study provided the values of aOR and 95% CI and showed that SAHE was not associated with increased mortality (aOR: 1.14, 95% CI: 0.71-1.83). For the secondary endpoint, the data of only 1 study on major disability (modified Rankin Scale = 3-5) were available, and the results revealed that SAHE increased the probability of major disability, but not after adjusting for baseline hematoma volume. CONCLUSION There is insufficient evidence to demonstrate the correlation between SAHE and mortality and worse functional outcomes in primary ICH. The validation of this correlation requires further studies as the potential effect and mechanisms of SAHE remain unclear.
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Affiliation(s)
- Tingzhi Liu
- Department of Neurology, the Second People’s Hospital of Qinzhou, Qinzhou, Guangxi Zhuang Autonomous Region, China
| | - Jilin Mai
- Department of Neurology, Beihai People’s Hospital, the Ninth Affiliated Hospital of Guangxi Medical University, Beihai, Guangxi Zhuang Autonomous Region, China
| | - Linlin Pang
- Department of Neurology, Minzu Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Ya Huang
- Department of Neurology, the Second People’s Hospital of Qinzhou, Qinzhou, Guangxi Zhuang Autonomous Region, China
| | - Jing Han
- Department of Neurology, the Second People’s Hospital of Qinzhou, Qinzhou, Guangxi Zhuang Autonomous Region, China
| | - Weixiang Su
- Department of Neurology, the Second People’s Hospital of Qinzhou, Qinzhou, Guangxi Zhuang Autonomous Region, China
| | - Kaichang Chen
- Department of Neurology, the Second People’s Hospital of Qinzhou, Qinzhou, Guangxi Zhuang Autonomous Region, China
| | - Peiying Qin
- Department of Neurology, the Second People’s Hospital of Qinzhou, Qinzhou, Guangxi Zhuang Autonomous Region, China
- * Correspondence: Peiying Qin, Department of Neurology, the Second People’s Hospital Medical Group of Qinzhou, Wenfeng South Road, Qinnan District, Qinzhou, 535000, China (e-mail: )
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26
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Seiffge DJ, Polymeris AA, Law ZK, Krishnan K, Zietz A, Thilemann S, Werring D, Al-Shahi Salman R, Dineen RA, Engelter ST, Bath PM, Sprigg N, Lyrer P, Peters N. Cerebral Amyloid Angiopathy and the Risk of Hematoma Expansion. Ann Neurol 2022; 92:921-930. [PMID: 36054211 PMCID: PMC9804369 DOI: 10.1002/ana.26481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 08/09/2022] [Accepted: 08/12/2022] [Indexed: 01/05/2023]
Abstract
OBJECTIVE We assessed whether hematoma expansion (HE) and favorable outcome differ according to type of intracerebral hemorrhage (ICH). METHODS Among participants with ICH enrolled in the TICH-2 (Tranexamic Acid for Hyperacute Primary Intracerebral Haemorrhage) trial, we assessed baseline scans for hematoma location and presence of cerebral amyloid angiopathy (CAA) using computed tomography (CT, simplified Edinburgh criteria) and magnetic resonance imaging (MRI; Boston criteria) and categorized ICH as lobar CAA, lobar non-CAA, and nonlobar. The main outcomes were HE and favorable functional outcome. We constructed multivariate regression models and assessed treatment effects using interaction terms. RESULTS A total of 2,298 out of 2,325 participants were included with available CT (98.8%; median age = 71 years, interquartile range = 60-80 years; 1,014 female). Additional MRI was available in 219 patients (9.5%). Overall, 1,637 participants (71.2%) had nonlobar ICH; the remaining 661 participants (28.8%) had lobar ICH, of whom 202 patients had lobar CAA-ICH (8.8%, 173 participants according to Edinburgh and 29 participants according to Boston criteria) and 459 did not (lobar non-CAA, 20.0%). For HE, we found a significant interaction of lobar CAA ICH with time from onset to randomization (increasing risk with time, pinteraction < 0.001) and baseline ICH volume (constant risk regardless of volume, pinteraction < 0.001) but no association between type of ICH and risk of HE or favorable outcome. Tranexamic acid significantly reduced the risk of HE (adjusted odds ratio = 0.7, 95% confidence interval = 0.6-1.0, p = 0.020) without statistically significant interaction with type of ICH (pinteraction = 0.058). Tranexamic acid was not associated with favorable outcome. INTERPRETATION Risk of HE in patients with lobar CAA-ICH was not independently increased but seems to have different dynamics compared to other types of ICH. The time window for treatment of CAA-ICH to prevent HE may be longer. ANN NEUROL 2022;92:921-930.
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Affiliation(s)
- David J Seiffge
- Department of Neurology, Inselspital University Hospital and University of Bern, Bern, Switzerland
| | - Alexandros A Polymeris
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Zhe Kang Law
- Stroke Trials Unit, University of Nottingham, Nottingham, UK.,Department of Medicine, National University of Malaysia, Bangi, Malaysia
| | - Kailash Krishnan
- Stroke Trials Unit, University of Nottingham, Nottingham, UK.,Stroke, Nottingham University Hospitals National Health Service Trust, Nottingham, UK
| | - Annaelle Zietz
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Sebastian Thilemann
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - David Werring
- Stroke Research Centre, University College London Queen Square Institute of Neurology, London, UK
| | | | - Robert A Dineen
- Radiological Sciences, University of Nottingham, Nottingham, UK.,National Institute for Health Research Nottingham Biomedical Research Centre, Nottingham, UK
| | - Stefan T Engelter
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland.,Neurology and Neurorehabilitation, University Hospital for Geriatric Medicine Felix Platter, University of Basel, Basel, Switzerland
| | - Philip M Bath
- Stroke Trials Unit, University of Nottingham, Nottingham, UK.,Stroke, Nottingham University Hospitals National Health Service Trust, Nottingham, UK
| | - Nikola Sprigg
- Stroke Trials Unit, University of Nottingham, Nottingham, UK.,Stroke, Nottingham University Hospitals National Health Service Trust, Nottingham, UK
| | - Philippe Lyrer
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Nils Peters
- Department of Neurology and Stroke Center, University Hospital Basel and University of Basel, Basel, Switzerland.,Neurology and Neurorehabilitation, University Hospital for Geriatric Medicine Felix Platter, University of Basel, Basel, Switzerland.,Stroke Center, Hirslanden Clinic, Zürich, Switzerland
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27
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Krishnan K, Law ZK, Woodhouse LJ, Dineen RA, Sprigg N, Wardlaw JM, Bath PM. Measures of intracranial compartments in acute intracerebral haemorrhage: data from the Rapid Intervention with Glyceryl Trinitrate in Hypertensive Stroke-2 Trial (RIGHT-2). Stroke Vasc Neurol 2022; 8:151-160. [PMID: 36202546 PMCID: PMC10176998 DOI: 10.1136/svn-2021-001375] [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: 10/17/2021] [Accepted: 05/11/2022] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND AND PURPOSE Intracerebral haemorrhage volume (ICHV) is prognostically important but does not account for intracranial volume (ICV) and cerebral parenchymal volume (CPV). We assessed measures of intracranial compartments in acute ICH using computerised tomography scans and whether ICHV/ICV and ICHV/CPV predict functional outcomes. We also assessed if cistern effacement, midline shift, old infarcts, leukoaraiosis and brain atrophy were associated with outcomes. METHODS Data from 133 participants from the Rapid Intervention with Glyceryl Trinitrate in Hypertensive Stroke-2 Trial trial were analysed. Measures included ICHV (using ABC/2) and ICV (XYZ/2) (by independent observers); ICHV, ICV and CPV (semiautomated segmentation, SAS); atrophy (intercaudate distance, ICD, Sylvian fissure ratio, SFR); midline shift; leukoaraiosis and cistern effacement (visual assessment). The effects of these measures on death at day 4 and poor functional outcome at day 90 (modified Rankin scale, mRS of >3) was assessed. RESULTS ICV was significantly different between XYZ and SAS: mean (SD) of 1357 (219) vs 1420 (196), mean difference (MD) 62 mL (p<0.001). There was no significant difference in ICHV between ABC/2 and SAS. There was very good agreement for ICV measured by SAS, CPV, ICD, SFR, leukoaraiosis and cistern score (all interclass correlations, n=10: interobserver 0.72-0.99, intraobserver 0.73-1.00). ICHV/ICV and ICHV/CPV were significantly associated with mRS at day 90, death at day 4 and acute neurological deterioration (all p<0.05), similar to ICHV. Midline shift and cistern effacement at baseline were associated with poor functional outcome but old infarcts, leukoaraiosis and brain atrophy were not. CONCLUSIONS Intracranial compartment measures and visual estimates are reproducible. ICHV adjusted for ICH and CPV could be useful to prognosticate in acute stroke. The presence of midline shift and cistern effacement may predict outcome but the mechanisms need validation in larger studies.
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Affiliation(s)
- Kailash Krishnan
- Stroke, Department of Acute Medicine, Nottingham University Hospitals NHS Trust, Nottingham, UK .,Stroke Trials Unit, University of Nottingham, Nottingham, UK
| | - Zhe Kang Law
- Department of Medicine, National University of Malaysia Faculty of Medicine, Kuala Lumpur, Malaysia
| | | | - Rob A Dineen
- Radiological Sciences Research Group, University of Nottingham, Nottingham, UK.,National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Nikola Sprigg
- Stroke, Department of Acute Medicine, Nottingham University Hospitals NHS Trust, Nottingham, UK.,Stroke Trials Unit, University of Nottingham, Nottingham, UK
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, UK Dementia Research Institute, Chancellor's Building, University of Edinburgh, Edinburgh, UK
| | - Philip M Bath
- Stroke, Department of Acute Medicine, Nottingham University Hospitals NHS Trust, Nottingham, UK.,Stroke Trials Unit, University of Nottingham, Nottingham, UK
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Wang CL, Xu YW, Yan XJ, Zhang CL. Usability of serum annexin A7 as a biochemical marker of poor outcome and early neurological deterioration after acute primary intracerebral hemorrhage: A prospective cohort study. Front Neurol 2022; 13:954631. [PMID: 36003296 PMCID: PMC9393537 DOI: 10.3389/fneur.2022.954631] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveAnnexin A7 (ANXA7), a calcium-dependent phospholipid-binding protein, may act to aggravate brain injury. This study aimed to assess the clinical utility of serum ANXA7 as a predictor of severity, early neurological deterioration (END), and prognosis after intracerebral hemorrhage (ICH).MethodsA total of 126 ICH patients and 126 healthy controls were enrolled. Symptomatic severity was evaluated utilizing the National Institutes of Health Stroke Scale (NIHSS) score. The lesion volume of ICH was measured according to the ABC/2 method. END was referred to as an increase of 4 or greater points in the NIHSS score or death at post-stroke 24 h. The unfavorable functional outcome was a combination of death and major disability at post-stroke 90 days.ResultsSerum ANXA7 levels were significantly higher in patients than in controls (median, 46.5 vs. 9.7 ng/ml; P < 0.001). Serum ANXA7 levels were independently correlated with NIHSS score [beta: 0.821; 95% confidence interval (CI): 0.106–1.514; variance inflation factor: 5.180; t = 2.573; P = 0.014] and hematoma volume (beta: 0.794; 95% CI: 0.418–1.173; variance inflation factor: 5.281; t = 2.781; P = 0.007). Serum ANXA7 levels were significantly elevated with increase in modified Rankin scale scores (P < 0.001). Also, serum ANXA7, which was identified as a categorical variable, independently predicted END and an unfavorable outcome with odds ratio values of 3.958 (95% CI: 1.290–12.143; P = 0.016) and 2.755 (95% CI: 1.051–7.220; P = 0.039), respectively. Moreover, serum ANXA7 levels efficiently differentiated END (area under the curve: 0.781; 95% CI: 0.698–0.849) and an unfavorable outcome (area under the curve: 0.776; 95% CI: 0.693–0.846).ConclusionSerum ANXA7 may represent a useful blood-derived biomarker for assessing the severity, END, and prognosis of ICH.
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Affiliation(s)
- Chuan-Liu Wang
- Department of Neurology, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China
| | - Yan-Wen Xu
- Department of Neurology, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China
| | - Xin-Jiang Yan
- Department of Neurosurgery, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China
| | - Cheng-Liang Zhang
- Department of Neurology, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China
- *Correspondence: Cheng-Liang Zhang
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He Q, Guo H, Bi R, Chen S, Shen J, Long C, Li M, Xia Y, Zhang L, Sun Z, Chen X, Wang Z, Gong D, Xu J, Zhu D, Wan Y, Hu B. Prediction of Neurological Deterioration After Intracerebral Hemorrhage: The SIGNALS Score. J Am Heart Assoc 2022; 11:e026379. [PMID: 35916347 PMCID: PMC9375508 DOI: 10.1161/jaha.122.026379] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Background Intracerebral hemorrhage is the most disabling and lethal form of stroke. We aimed to develop a novel clinical score for neurological deterioration during hospitalization after intracerebral hemorrhage. Methods and Results We analyzed data from the CHERRY (Chinese Cerebral Hemorrhage: Mechanism and Intervention) study. Two-thirds of eligible patients were randomly allocated into the training cohort (n=1027) and one-third into the validation cohort (n=515). Multivariable logistic regression was used to identify factors associated with neurological deterioration (an increase in National Institutes of Health Stroke Scale of ≥4 or death) within 15 days after symptom onset. A prediction score was developed based on regression coefficients derived from the logistic model. The site, size, gender, National Institutes of Health Stroke Scale, age, leukocyte, sugar (SIGNALS) score was developed as a sum of individual points (0-8) based on site (1 point for infratentorial location), size (3 points for >20 mL of supratentorial hematoma volume or 2 points for >10 mL of infratentorial hematoma volume), sex (1 point for male sex), National Institutes of Health Stroke Scale score (1 point for >10), age (1 point for ≥70 years), white blood cell (1 point for>9.0×109/L), and fasting blood glucose (1 point>7.0 mmol/L). The proportion of patients who suffered from neurological deterioration increased with higher SIGNALS score, showing good discrimination and good calibration in the training cohort (C statistic, 0.821; Hosmer-Lemeshow test, P=0.687) and in the validation cohort (C statistic, 0.848; Hosmer-Lemeshow test, P=0.592), respectively. Conclusions The SIGNALS score reliably predicts the risk of in-hospital neurological deterioration of patients with intracerebral hemorrhage.
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Affiliation(s)
- Quanwei He
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Hongxiu Guo
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Rentang Bi
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Shaoli Chen
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Jing Shen
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Chunnan Long
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Man Li
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Yuanpeng Xia
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Lei Zhang
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Zhou Sun
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Xiaolu Chen
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Zhaowei Wang
- Department of Neurology Qianjiang Central Hospital Qianjiang Hubei Province China
| | - Daokai Gong
- Department of Neurology Jingzhou Central Hospital Jingzhou Hubei Province China
| | - Jingwen Xu
- Department of Neurology Honghu People's Hospital Honghu Hubei Province China
| | - Dondya Zhu
- School of Pharmacy Nanjing Medical University Nanjing Jiangsu Province China
| | - Yan Wan
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Bo Hu
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
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30
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He Q, Guo H, Bi R, Chen S, Shen J, Long C, Li M, Xia Y, Zhang L, Sun Z, Chen X, Wang Z, Gong D, Xu J, Zhu D, Wan Y, Hu B. Prediction of Neurological Deterioration After Intracerebral Hemorrhage: The SIGNALS Score. J Am Heart Assoc 2022. [PMID: 35862193 DOI: 10.1161/jaha.121.026379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Intracerebral hemorrhage is the most disabling and lethal form of stroke. We aimed to develop a novel clinical score for neurological deterioration during hospitalization after intracerebral hemorrhage. Methods and Results We analyzed data from the CHERRY (Chinese Cerebral Hemorrhage: Mechanism and Intervention) study. Two-thirds of eligible patients were randomly allocated into the training cohort (n=1027) and one-third into the validation cohort (n=515). Multivariable logistic regression was used to identify factors associated with neurological deterioration (an increase in National Institutes of Health Stroke Scale of ≥4 or death) within 15 days after symptom onset. A prediction score was developed based on regression coefficients derived from the logistic model. The site, size, gender, National Institutes of Health Stroke Scale, age, leukocyte, sugar (SIGNALS) score was developed as a sum of individual points (0-8) based on site (1 point for infratentorial location), size (3 points for >20 mL of supratentorial hematoma volume or 2 points for >10 mL of infratentorial hematoma volume), sex (1 point for male sex), National Institutes of Health Stroke Scale score (1 point for >10), age (1 point for ≥70 years), white blood cell (1 point for>9.0×109/L), and fasting blood glucose (1 point>7.0 mmol/L). The proportion of patients who suffered from neurological deterioration increased with higher SIGNALS score, showing good discrimination and good calibration in the training cohort (C statistic, 0.821; Hosmer-Lemeshow test, P=0.687) and in the validation cohort (C statistic, 0.848; Hosmer-Lemeshow test, P=0.592), respectively. Conclusions The SIGNALS score reliably predicts the risk of in-hospital neurological deterioration of patients with intracerebral hemorrhage.
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Affiliation(s)
- Quanwei He
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Hongxiu Guo
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Rentang Bi
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Shaoli Chen
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Jing Shen
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Chunnan Long
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Man Li
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Yuanpeng Xia
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Lei Zhang
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Zhou Sun
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Xiaolu Chen
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Zhaowei Wang
- Department of Neurology Qianjiang Central Hospital Qianjiang Hubei Province China
| | - Daokai Gong
- Department of Neurology Jingzhou Central Hospital Jingzhou Hubei Province China
| | - Jingwen Xu
- Department of Neurology Honghu People's Hospital Honghu Hubei Province China
| | - Dondya Zhu
- School of Pharmacy Nanjing Medical University Nanjing Jiangsu Province China
| | - Yan Wan
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
| | - Bo Hu
- Department of Neurology, Union Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei Province China
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31
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Li Q, Goldstein JN. Neurological Deterioration in Intracerebral Hemorrhage: Can We Predict It, and What Would We Do If We Could? J Am Heart Assoc 2022; 11:e026760. [PMID: 35862150 PMCID: PMC9375501 DOI: 10.1161/jaha.122.026760] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Qi Li
- Department of Neurology The Second Affiliated Hospital of Anhui Medical University Hefei China.,Department of Neurology The First Affiliated Hospital of Chongqing Medical University Chongqing China
| | - Joshua N Goldstein
- Division of Neurocritical Care and Emergency Neurology, Department of Emergency Medicine Massachusetts General Hospital, Harvard Medical School Boston MA
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32
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Tranexamic acid – A narrative review for the emergency medicine clinician. Am J Emerg Med 2022; 56:33-44. [PMID: 35364476 DOI: 10.1016/j.ajem.2022.03.027] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 03/07/2022] [Accepted: 03/14/2022] [Indexed: 02/06/2023] Open
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33
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Ji R, Wang L, Ma F, Wang W, Liu Y, Zhang R, Wang D, Jia J, Feng H, Liu G, Ju Y, Lu J, Zhao X. Intracerebral Hemorrhage Progression Score: A Novel Risk Score to Predict Neurological Deterioration after Intracerebral Hemorrhage. J Stroke 2022; 24:307-310. [PMID: 35677988 PMCID: PMC9194542 DOI: 10.5853/jos.2022.00619] [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: 02/11/2022] [Accepted: 05/10/2022] [Indexed: 11/15/2022] Open
Affiliation(s)
- Ruijun Ji
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Key Laboratory of Brain Function Reconstruction, Beijing, China
| | - Linlin Wang
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
| | - Feifei Ma
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wenjuan Wang
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yanfang Liu
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Runhua Zhang
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Dandan Wang
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jiaokun Jia
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hao Feng
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Gaifen Liu
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yi Ju
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jingjing Lu
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xingquan Zhao
- Department of Neurology, Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Key Laboratory of Brain Function Reconstruction, Beijing, China
- Correspondence: Xingquan Zhao Department of Neurology, Tiantan Hospital, Capital Medical University, No.119 Nansihuan West Road, Fengtai District, Beijing 100070, China Tel: +86-10-59978350 Fax: +86-10-59973383 E-mail:
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34
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Gao D, Zhang X, Zhang Y, Zhang R, Qiao Y. A Prediction Model for Neurological Deterioration in Patients with Acute Spontaneous Intracerebral Hemorrhage. Front Surg 2022; 9:886856. [PMID: 35722524 PMCID: PMC9198834 DOI: 10.3389/fsurg.2022.886856] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 04/20/2022] [Indexed: 11/13/2022] Open
Abstract
Aim The aim of this study was to explore factors related to neurological deterioration (ND) after spontaneous intracerebral hemorrhage (sICH) and establish a prediction model based on random forest analysis in evaluating the risk of ND. Methods The clinical data of 411 patients with acute sICH at the Affiliated Hospital of Jining Medical University and Xuanwu Hospital of Capital Medical University between January 2018 and December 2020 were collected. After adjusting for variables, multivariate logistic regression was performed to investigate the factors related to the ND in patients with acute ICH. Then, based on the related factors in the multivariate logistic regression and four variables that have been identified as contributing to ND in the literature, we established a random forest model. The receiver operating characteristic curve was used to evaluate the prediction performance of this model. Results The result of multivariate logistic regression analysis indicated that time of onset to the emergency department (ED), baseline hematoma volume, serum sodium, and serum calcium were independently associated with the risk of ND. Simultaneously, the random forest model was developed and included eight predictors: serum calcium, time of onset to ED, serum sodium, baseline hematoma volume, systolic blood pressure change in 24 h, age, intraventricular hemorrhage expansion, and gender. The area under the curve value of the prediction model reached 0.795 in the training set and 0.713 in the testing set, which suggested the good predicting performance of the model. Conclusion Some factors related to the risk of ND were explored. Additionally, a prediction model for ND of acute sICH patients was developed based on random forest analysis, and the developed model may have a good predictive value through the internal validation.
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Affiliation(s)
- Daiquan Gao
- Department of Neurology, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Xiaojuan Zhang
- Emergency Department, Affiliated Hospital of Jining Medical University, Jining, China
| | - Yunzhou Zhang
- Department of Neurology, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Rujiang Zhang
- Department of Internal Medicine, Ruili People’s Hospital, Ruili, China
| | - Yuanyuan Qiao
- Intensive Care Unit, Affiliated Hospital of Jining Medical University, Jining, China
- Correspondence: Yuanyuan Qiao
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Yan T, Wang ZF, Wu XY, Du Q, Yu WH, Hu W, Zheng YK, Wang KY, Dong XQ. Plasma SIRT3 as a Biomarker of Severity and Prognosis After Acute Intracerebral Hemorrhage: A Prospective Cohort Study. Neuropsychiatr Dis Treat 2022; 18:2199-2210. [PMID: 36187560 PMCID: PMC9524385 DOI: 10.2147/ndt.s376717] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 09/17/2022] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE SIRT3 may act as a brain-protective factor. We measured the plasma SIRT3 levels of patients with intracerebral hemorrhage (ICH) and further determined the relationship between plasma SIRT3 and clinical outcome plus severity of ICH. METHODS In this prospective cohort study, we quantified plasma SIRT3 levels in 105 ICH patients and 72 healthy controls. Glasgow Coma Scale (GCS) score and hematoma volume were used to assess severity. Poor prognosis was defined as a Glasgow Outcome Scale (GOS) score of 1-3 at 90 days after ICH. RESULTS Plasma SIRT3 levels were markedly lower in patients than in controls (median, 10.19 versus 13.17 ng/mL; P<0.001). Among all patients, plasma SIRT3 levels were independently correlated with hematoma volume (beta, -0.098; 95% confidence interval, -0.158--0.039; t, -3.282; P=0.001) and GCS score (beta, 0.465; 95% confidence interval, 0.107-0.823; t, 2.576; P=0.011). A total of 46 cases had a poor prognosis at post-stroke 90 days. The plasma levels of SIRT3 significantly decreased in patients with a poor prognosis, compared with those with a good prognosis (median, 6.1 versus 11.2 ng/mL; P<0.001). Plasma SIRT3 was an independent predictor for 90-day poor prognosis of patients (odds ratio, 0.837; 95% confidence interval, 0.708-0.990; P=0.038). Plasma SIRT3 levels distinguished the development of poor prognosis with area under receiver operating characteristic curve at 0.801 (95% confidence interval, 0.711-0.872) and plasma SIRT3 levels ≤7.38 ng/mL predicted poor prognosis with 63.04% sensitivity and 93.22% specificity. CONCLUSION Declined plasma SIRT3 levels are highly associated with hemorrhagic severity and poor 90-day outcome, thus suggesting that plasma SIRT3 may serve as a potential prognostic biomarker for ICH.
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Affiliation(s)
- Tian Yan
- The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China
| | - Ze-Fan Wang
- The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China
| | - Xiao-Yu Wu
- The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China
| | - Quan Du
- Department of Neurosurgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China
| | - Wen-Hua Yu
- Department of Neurosurgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China
| | - Wei Hu
- Department of Intensive Care Unit, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China
| | - Yong-Ke Zheng
- Department of Intensive Care Unit, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China
| | - Ke-Yi Wang
- Clinical Laboratory Center, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China
| | - Xiao-Qiao Dong
- Department of Neurosurgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China
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36
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Wei Y, Song X, Gao Y, Gao Y, Li Y, Gu L. Iron toxicity in intracerebral hemorrhage: Physiopathological and therapeutic implications. Brain Res Bull 2021; 178:144-154. [PMID: 34838852 DOI: 10.1016/j.brainresbull.2021.11.014] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/20/2021] [Accepted: 11/22/2021] [Indexed: 01/09/2023]
Abstract
Intracerebral hemorrhage (ICH)-induced brain injury is a continuous pathological process that involves the deterioration of neurological functions, such as sensory, cognitive or motor functions. Cytotoxic byproducts of red blood cell lysis, especially free iron, appear to be a significant pathophysiologic mechanism leading to ICH-induced injury. Free iron has a crucial role in secondary brain injury after ICH. Chelating iron may attenuate iron-induced neurotoxicity and may be developed as a therapeutic candidate for ICH treatment. In this review, we focused on the potential role of iron toxicity in ICH-induced injury and iron chelation therapy in the management of ICH. It will hopefully advance our understanding of the pathogenesis of ICH and lead to new approaches for treatment.
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Affiliation(s)
- Yufei Wei
- Department of Internal Neurology, First Affiliated Hospital, Guangxi University of Chinese Medicine, Nanning, Guangxi 530000, China
| | - Xiaoxiao Song
- Department of Internal Neurology, First Affiliated Hospital, Guangxi University of Chinese Medicine, Nanning, Guangxi 530000, China
| | - Ying Gao
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing 100010, China
| | - Yonghong Gao
- Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing 100010, China
| | - Yuanyuan Li
- Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing 100010, China
| | - Lian Gu
- Department of Internal Neurology, First Affiliated Hospital, Guangxi University of Chinese Medicine, Nanning, Guangxi 530000, China.
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