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Zhang H, Duan X, Zhang Y, Zhuang G, Cao D, Meng W, Yan M, Qi W. Association Between Monocyte-to-Lymphocyte Ratio and Hematoma Progression After Cerebral Contusion. Neurocrit Care 2024; 40:953-963. [PMID: 37848656 PMCID: PMC11147937 DOI: 10.1007/s12028-023-01857-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 09/06/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND The objective of this research was to examine the impact of the monocyte-to-lymphocyte ratio (MLR) on the advancement of hematoma after cerebral contusion. METHODS The clinical information and laboratory test findings of people with cerebral contusion were retrospectively analyzed. Using the tertiles of MLR, the study participants were categorized into three groups, enabling the evaluation of the correlation between MLR and the advancement of hematoma after cerebral contusion. RESULTS Among the cohort of patients showing progression, MLR levels were significantly higher compared with the nonprogress group (P < 0.001). The high MLR group had a significantly higher proportion of patients with hematoma progression compared with the medium and low MLR groups. However, the medium MLR group had a lower proportion of patients with hematoma progression compared with the low MLR group. High MLR levels were independently linked to a higher risk of hematoma progression (Odds Ratio 3.546, 95% Confidence Interval 1.187-10.597, P = 0.024). By incorporating factors such as Glasgow Coma Scale score on admission, anticoagulant/antiplatelet therapy, white blood cell count, and MLR into the model, the predictive performance of the model significantly improved (area under the curve 0.754). CONCLUSIONS Our study suggests that MLR may serve as a potential indicator for predicting the progression of hematoma after cerebral contusion. Further research is necessary to investigate the underlying pathological and physiological mechanisms that contribute to the association between MLR and the progression of hematoma after cerebral contusion and to explore its clinical implications.
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Affiliation(s)
- Huajun Zhang
- Department of Neurosurgery, Affiliated Hospital of Yangzhou University, 45 Taizhou Road, Guangling District, Yangzhou City, Jiangsu Province, China
- Graduate School of Dalian Medical University, Dalian, Liaoning, China
| | - Xiaochun Duan
- Department of Neurosurgery, Affiliated Hospital of Yangzhou University, 45 Taizhou Road, Guangling District, Yangzhou City, Jiangsu Province, China
| | - Yimiao Zhang
- Graduate School of Shaanxi, University of Traditional Chinese Medicine, Xianyang, Shaanxi, China
| | - Guoquan Zhuang
- Department of Neurosurgery, Affiliated Hospital of Yangzhou University, 45 Taizhou Road, Guangling District, Yangzhou City, Jiangsu Province, China
- Graduate School of Dalian Medical University, Dalian, Liaoning, China
| | - Demao Cao
- Department of Neurosurgery, Affiliated Hospital of Yangzhou University, 45 Taizhou Road, Guangling District, Yangzhou City, Jiangsu Province, China
| | - Wei Meng
- Department of Urology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Muyang Yan
- Graduate School of Dalian Medical University, Dalian, Liaoning, China
| | - Wentao Qi
- Department of Neurosurgery, Affiliated Hospital of Yangzhou University, 45 Taizhou Road, Guangling District, Yangzhou City, Jiangsu Province, China.
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He H, Liu J, Li C, Guo Y, Liang K, Du J, Xue J, Liang Y, Chen P, Liu L, Cui M, Wang J, Liu Y, Tian S, Deng Y. Predicting Hematoma Expansion and Prognosis in Cerebral Contusions: A Radiomics-Clinical Approach. J Neurotrauma 2024; 41:1337-1352. [PMID: 38326935 DOI: 10.1089/neu.2023.0410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2024] Open
Abstract
Hemorrhagic progression of contusion (HPC) often occurs early in cerebral contusions (CC) patients, significantly impacting their prognosis. It is vital to promptly assess HPC and predict outcomes for effective tailored interventions, thereby enhancing prognosis in CC patients. We utilized the Attention-3DUNet neural network to semi-automatically segment hematomas from computed tomography (CT) images of 452 CC patients, incorporating 695 hematomas. Subsequently, 1502 radiomic features were extracted from 358 hematomas in 261 patients. After a selection process, these features were used to calculate the radiomic signature (Radscore). The Radscore, along with clinical features such as medical history, physical examinations, laboratory results, and radiological findings, was employed to develop predictive models. For prognosis (discharge Glasgow Outcome Scale score), radiomic features of each hematoma were augmented and fused for correlation. We employed various machine learning methodologies to create both a combined model, integrating radiomics and clinical features, and a clinical-only model. Nomograms based on logistic regression were constructed to visually represent the predictive procedure, and external validation was performed on 170 patients from three additional centers. The results showed that for HPC, the combined model, incorporating hemoglobin levels, Rotterdam CT score of 3, multi-hematoma fuzzy sign, concurrent subdural hemorrhage, international normalized ratio, and Radscore, achieved area under the receiver operating characteristic curve (AUC) values of 0.848 and 0.836 in the test and external validation cohorts, respectively. The clinical model predicting prognosis, utilizing age, Abbreviated Injury Scale for the head, Glasgow Coma Scale Motor component, Glasgow Coma Scale Verbal component, albumin, and Radscore, attained AUC values of 0.846 and 0.803 in the test and external validation cohorts, respectively. Selected radiomic features indicated that irregularly shaped and highly heterogeneous hematomas increased the likelihood of HPC, while larger weighted axial lengths and lower densities of hematomas were associated with a higher risk of poor prognosis. Predictive models that combine radiomic and clinical features exhibit robust performance in forecasting HPC and the risk of poor prognosis in CC patients. Radiomic features complement clinical features in predicting HPC, although their ability to enhance the predictive accuracy of the clinical model for adverse prognosis is limited.
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Affiliation(s)
- Haoyue He
- Department of Neurosurgery, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
- Bioengineering College, Chongqing University, Chongqing, China
| | - Jinxin Liu
- Department of Neurosurgery, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
- School of Medicine, Chongqing University, Chongqing, China
| | - Chuanming Li
- Medical Imaging Department, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
| | - Yi Guo
- Medical Imaging Department, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
| | - Kaixin Liang
- Department of Neurosurgery, Yubei District Hospital of Traditional Chinese Medicine, Chongqing, China
| | - Jun Du
- Department of Neurosurgery, Chongqing Qianjiang Central Hospital, Chongqing University Qianjiang Hospital, Chongqing, China
| | - Jun Xue
- Department of Neurosurgery, Bishan Hospital of Chongqing, Bishan Hospital of Chongqing Medical University, Chongqing, China
| | - Yidan Liang
- Department of Neurosurgery, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
| | - Peng Chen
- Department of Neurosurgery, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
| | - Liu Liu
- Department of Neurosurgery, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
| | - Min Cui
- Department of Neurosurgery, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
| | - Jia Wang
- Department of Neurosurgery, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
| | - Ye Liu
- Department of Neurosurgery, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
- School of Medicine, Chongqing University, Chongqing, China
| | - Shanshan Tian
- Department of Prehospital Emergency, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
| | - Yongbing Deng
- Department of Neurosurgery, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing, China
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3
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Wu B, Zhang J, Chen J, Sun X, Tan D. Establishment of a model to predict mortality after decompression craniotomy for traumatic brain injury. Brain Behav 2024; 14:e3492. [PMID: 38641890 PMCID: PMC11031634 DOI: 10.1002/brb3.3492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 02/24/2024] [Accepted: 04/03/2024] [Indexed: 04/21/2024] Open
Abstract
BACKGROUND The mortality rate of patients with traumatic brain injury (TBI) is still high even while undergoing decompressive craniectomy (DC), and the expensive treatment costs bring huge economic burden to the families of patients. OBJECTIVE The aim of this study was to identify preoperative indicators that influence patient outcomes and to develop a risk model for predicting patient mortality by a retrospective analysis of TBI patients undergoing DC. METHODS A total of 288 TBI patients treated with DC, admitted to the First Affiliated Hospital of Shantou University Medical School from August 2015 to April 2021, were used for univariate and multivariate logistic regression analysis to determine the risk factors for death after DC in TBI patients. We also built a risk model for the identified risk factors and conducted internal verification and model evaluation. RESULTS Univariate and multivariate logistic regression analysis identified four risk factors: Glasgow Coma Scale, age, activated partial thrombin time, and mean CT value of the superior sagittal sinus. These risk factors can be obtained before DC. In addition, we also developed a 3-month mortality risk model and conducted a bootstrap 1000 resampling internal validation, with C-indices of 0.852 and 0.845, respectively. CONCLUSIONS We developed a risk model that has clinical significance for the early identification of patients who will still die after DC. Interestingly, we also identified a new early risk factor for TBI patients after DC, that is, preoperative mean CT value of the superior sagittal sinus (p < .05).
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Affiliation(s)
- Birui Wu
- Department of NeurosurgeryGuangdong Sanjiu Brain HospitalGuangzhouGuangdongChina
| | - Juntao Zhang
- Department of NeurosurgeryThe First Affiliated Hospital of Shantou University Medical CollegeShantouGuangdongChina
| | - Junchen Chen
- Department of NeurosurgeryThe First Affiliated Hospital of Shantou University Medical CollegeShantouGuangdongChina
| | - Xibo Sun
- Department of NeurosurgeryGuangdong Sanjiu Brain HospitalGuangzhouGuangdongChina
| | - Dianhui Tan
- Department of NeurosurgeryThe First Affiliated Hospital of Shantou University Medical CollegeShantouGuangdongChina
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Gabbe BJ, Keeves J, McKimmie A, Gadowski AM, Holland AJ, Semple BD, Young JT, Crowe L, Ownsworth T, Bagg MK, Antonic-Baker A, Hicks AJ, Hill R, Curtis K, Romero L, Ponsford JL, Lannin NA, O'Brien TJ, Cameron PA, Cooper DJ, Rushworth N, Fitzgerald M. The Australian Traumatic Brain Injury Initiative: Systematic Review and Consensus Process to Determine the Predictive Value of Demographic, Injury Event, and Social Characteristics on Outcomes for People With Moderate-Severe Traumatic Brain Injury. J Neurotrauma 2024. [PMID: 38115598 DOI: 10.1089/neu.2023.0461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023] Open
Abstract
The objective of the Australian Traumatic Brain Injury (AUS-TBI) Initiative is to develop a data dictionary to inform data collection and facilitate prediction of outcomes of people who experience moderate-severe TBI in Australia. The aim of this systematic review was to summarize the evidence of the association between demographic, injury event, and social characteristics with outcomes, in people with moderate-severe TBI, to identify potentially predictive indicators. Standardized searches were implemented across bibliographic databases to March 31, 2022. English-language reports, excluding case series, which evaluated the association between demographic, injury event, and social characteristics, and any clinical outcome in at least 10 patients with moderate-severe TBI were included. Abstracts and full text records were independently screened by at least two reviewers in Covidence. A pre-defined algorithm was used to assign a judgement of predictive value to each observed association. The review findings were discussed with an expert panel to determine the feasibility of incorporation of routine measurement into standard care. The search strategy retrieved 16,685 records; 867 full-length records were screened, and 111 studies included. Twenty-two predictors of 32 different outcomes were identified; 7 were classified as high-level (age, sex, ethnicity, employment, insurance, education, and living situation at the time of injury). After discussion with an expert consensus group, 15 were recommended for inclusion in the data dictionary. This review identified numerous predictors capable of enabling early identification of those at risk for poor outcomes and improved personalization of care through inclusion in routine data collection.
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Affiliation(s)
- Belinda J Gabbe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Health Data Research UK, Swansea University Medical School, Swansea University, Singleton Park, United Kingdom
| | - Jemma Keeves
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia
- Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin School of Population Health, Curtin University, Bentley, WA, Australia
| | - Ancelin McKimmie
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Adelle M Gadowski
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Andrew J Holland
- The Children's Hospital at Westmead Clinical School, Faculty of Medicine and Health, University of Sydney School of Medicine, Westmead, Australia
| | - Bridgette D Semple
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC, Australia
| | - Jesse T Young
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
- Clinical Sciences Murdoch Children's Research Institute, Parkville, VIC, Australia
- School of Population and Global Health, The University of Western Australia, Perth, WA, Australia
- Justice Health Group, Curtin School of Population Health, Curtin University, Bentley, WA, Australia
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Louise Crowe
- Clinical Sciences Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Tamara Ownsworth
- School of Applied Psychology and the Hopkins Centre, Griffith University, Brisbane, Australia
| | - Matthew K Bagg
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia
- Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin School of Population Health, Curtin University, Bentley, WA, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, NSW, Australia
- School of Health Sciences, University of Notre Dame Australia, Fremantle, WA, Australia
| | - Ana Antonic-Baker
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC, Australia
| | - Amelia J Hicks
- Monash-Epworth Rehabilitation Research Centre, Epworth Healthcare, Melbourne, VIC, Australia
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Regina Hill
- Regina Hill Effective Consulting Pty. Ltd., Melbourne, VIC, Australia
| | - Kate Curtis
- Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
- Illawarra Shoalhaven LHD, Wollongong, NSW, Australia
- George Institute for Global Health, Newtown, NSW, Australia
| | | | - Jennie L Ponsford
- Monash-Epworth Rehabilitation Research Centre, Epworth Healthcare, Melbourne, VIC, Australia
- School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Natasha A Lannin
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC, Australia
- Alfred Health, Melbourne, VIC, Australia
| | - Terence J O'Brien
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC, Australia
| | - Peter A Cameron
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- National Trauma Research Institute, Melbourne, VIC, Australia
- Emergency and Trauma Centre, The Alfred Hospital, Melbourne, VIC, Australia
| | - D Jamie Cooper
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Department of Intensive Care and Hyperbaric Medicine, The Alfred, Melbourne, VIC, Australia
| | | | - Melinda Fitzgerald
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia
- Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin School of Population Health, Curtin University, Bentley, WA, Australia
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5
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Peng J, Luo T, Li X, Li B, Cheng Y, Huang Q, Su J. Imaging predictors of hemorrhagic progression of a contusion after traumatic brain injury: a systematic review and meta-analysis. Sci Rep 2024; 14:5961. [PMID: 38472247 PMCID: PMC10933276 DOI: 10.1038/s41598-024-56232-w] [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: 10/26/2023] [Accepted: 03/04/2024] [Indexed: 03/14/2024] Open
Abstract
The hemorrhagic progression of a contusion (HPC) after Traumatic brain injury (TBI) is one of the important causes of death in trauma patients. The purpose of this meta-analysis was to evaluate the predictive effect of imaging features of Computed tomography (CT) on HPC after TBI. A comprehensive systematic search was performed using PubMed, EMBASE, and WEB OF SCIENCE databases to identify all relevant literature. A total of 8 studies involving 2543 patients were included in this meta-analysis. Meta-analysis showed that subarachnoid hemorrhage (OR 3.28; 95% CI 2.57-4.20), subdural hemorrhage (OR 4.35; 95% CI 3.29-5.75), epidural hemorrhage (OR 1.47;95% CI 1.15-1.89), contrast extravasation (OR 11.81; 95% CI 4.86-28.71) had a predictive effect on the occurrence of HPC. Skull fracture (OR 1.64; 95% CI 0.84-3.19) showed no statistical significance, and midline displacement > 5 mm (OR 4.66; 95% CI 1.87-11.62) showed high heterogeneity. The results of this meta-analysis showed that some imaging features were effective predictors of HPC after TBI. Well-designed prospective studies are needed to more accurately assess the effective predictors of HPC after TBI.
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Affiliation(s)
- Jie Peng
- Department of Neurosurgery, The People's Hospital of Nanchuan, Chongqing, 408400, China
| | - Tao Luo
- Department of Neurosurgery, The People's Hospital of Nanchuan, Chongqing, 408400, China
| | - Xiaoyu Li
- Department of Neurosurgery, The People's Hospital of Nanchuan, Chongqing, 408400, China
| | - Bin Li
- Department of Neurosurgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Yuan Cheng
- Department of Neurosurgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Qin Huang
- Department of Neurosurgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
| | - Jun Su
- Department of Neurosurgery, The People's Hospital of Nanchuan, Chongqing, 408400, China.
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6
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Iaccarino C, Carretta A, Demetriades AK, Di Minno G, Giussani C, Marcucci R, Marklund N, Mastrojanni G, Pompucci A, Stefini R, Zona G, Cividini A, Petrella G, Coluccio V, Marietta M. Management of Antithrombotic Drugs in Patients with Isolated Traumatic Brain Injury: An Intersociety Consensus Document. Neurocrit Care 2024; 40:314-327. [PMID: 37029314 DOI: 10.1007/s12028-023-01715-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 03/07/2023] [Indexed: 04/09/2023]
Abstract
BACKGROUND All available recommendations about the management of antithrombotic therapies (ATs) in patients who experienced traumatic brain injury (TBI) are mainly based on expert opinion because of the lack of strength in the available evidence-based medicine. Currently, the withdrawal and the resumption of AT in these patients is empirical, widely variable, and based on the individual assessment of the attending physician. The main difficulty is to balance the thrombotic and hemorrhagic risks to improve patient outcome. METHODS Under the endorsement of the Neurotraumatology Section of Italian Society of Neurosurgery, the Italian Society for the Study about Haemostasis and Thrombosis, the Italian Society of Anaesthesia, Analgesia, Resuscitation, and Intensive Care, and the European Association of Neurosurgical Societies, a working group (WG) of clinicians completed two rounds of questionnaires, using the Delphi method, in a multidisciplinary setting. A table for thrombotic and bleeding risk, with a dichotomization in high risk and low risk, was established before questionnaire administration. In this table, the risk is calculated by matching different isolated TBI (iTBI) scenarios such as acute and chronic subdural hematomas, extradural hematoma, brain contusion (intracerebral hemorrhage), and traumatic subarachnoid hemorrhage with patients under active AT treatment. The registered indication could include AT primary prevention, cardiac valve prosthesis, vascular stents, venous thromboembolism, and atrial fibrillation. RESULTS The WG proposed a total of 28 statements encompassing the most common clinical scenarios about the withdrawal of antiplatelets, vitamin K antagonists, and direct oral anticoagulants in patients who experienced blunt iTBI. The WG voted on the grade of appropriateness of seven recommended interventions. Overall, the panel reached an agreement for 20 of 28 (71%) questions, deeming 11 of 28 (39%) as appropriate and 9 of 28 (32%) as inappropriate interventions. The appropriateness of intervention was rated as uncertain for 8 of 28 (28%) questions. CONCLUSIONS The initial establishment of a thrombotic and/or bleeding risk scoring system can provide a vital theoretical basis for the evaluation of effective management in individuals under AT who sustained an iTBI. The listed recommendations can be implemented into local protocols for a more homogeneous strategy. Validation using large cohorts of patients needs to be developed. This is the first part of a project to update the management of AT in patients with iTBI.
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Affiliation(s)
- Corrado Iaccarino
- Department of Biomedical, Metabolic and Neural Sciences, School of Neurosurgery, University of Modena and Reggio Emilia, Modena, Italy
- Neurosurgery Division, "Nocsae" Hospital of Baggiovara, University Hospital of Modena, Modena, Italy
- Emergency Neurosurgery Unit, AUSL RE IRCCS, "ASMN" Hospital of Reggio Emilia, Reggio Emilia, Italy
| | - Alessandro Carretta
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.
| | | | - Giovanni Di Minno
- Regional Reference Center for Coagulation Disorders, Federico II University Hospital, Naples, Italy
- Department of Clinical and Surgical Medicine, Federico II University of Naples, Naples, Italy
| | - Carlo Giussani
- Department of Neurosurgery, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Rossella Marcucci
- Center for Atherothrombotic Disease, Department of Experimental and Clinical Medicine, Careggi University Hospital, University of Florence, Florence, Italy
| | - Niklas Marklund
- Department of Neuroscience, Neurosurgery, Uppsala University, Uppsala, Sweden
- Department of Clinical Sciences, Department of Neurosurgery, Skåne University Hospital, Lund University, Lund, Sweden
| | | | - Angelo Pompucci
- Neurosurgery Division, ASL Latina Ospedale Santa Maria Goretti, Latina, Italy
| | - Roberto Stefini
- Neurosurgery Division, Department of Neurosciences, Head, Neck and Neurosurgery, Ospedale Civile di Legnano, Legnano, Italy
| | - Gianluigi Zona
- Neurosurgery Division, Department of Neurosciences (DINOGMI), IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Andrea Cividini
- Neurosurgery Division, Department of Neurosciences, Head, Neck and Neurosurgery, Ospedale Civile di Legnano, Legnano, Italy
| | - Gianpaolo Petrella
- Neurosurgery Division, ASL Latina Ospedale Santa Maria Goretti, Latina, Italy
| | - Valeria Coluccio
- Department of Hematology and Oncology, Hemostasis and Thrombosis Unit, University Hospital of Modena, Modena, Italy
| | - Marco Marietta
- Department of Hematology and Oncology, Hemostasis and Thrombosis Unit, University Hospital of Modena, Modena, Italy
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7
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Frontera JA, Fang T, Grayson K, Lalchan R, Dickstein L, Hussain MS, Kahn DE, Lord AS, Mazzuchin D, Melmed KR, Rutledge C, Zhou T, Lewis A. Poor Accuracy of Manually Derived Head Computed Tomography Parameters in Predicting Intracranial Hypertension After Nontraumatic Intracranial Hemorrhage. Neurocrit Care 2023; 39:677-689. [PMID: 36577900 DOI: 10.1007/s12028-022-01662-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 12/08/2022] [Indexed: 12/29/2022]
Abstract
BACKGROUND The utility of head computed tomography (CT) in predicting elevated intracranial pressure (ICP) is known to be limited in traumatic brain injury; however, few data exist in patients with spontaneous intracranial hemorrhage. METHODS We conducted a retrospective review of prospectively collected data in patients with nontraumatic intracranial hemorrhage (subarachnoid hemorrhage [SAH] or intraparenchymal hemorrhage [IPH]) who underwent external ventricular drain (EVD) placement. Head CT scans performed immediately prior to EVD placement were quantitatively reviewed for features suggestive of elevated ICP, including temporal horn diameter, bicaudate index, basal cistern effacement, midline shift, and global cerebral edema. The modified Fisher score (mFS), intraventricular hemorrhage score, and IPH volume were also measured, as applicable. We calculated the accuracy, positive predictive value (PPV), and negative predictive value (NPV) of these radiographic features for the coprimary outcomes of elevated ICP (> 20 mm Hg) at the time of EVD placement and at any time during the hospital stay. Multivariable backward stepwise logistic regression analysis was performed to identify significant radiographic factors associated with elevated ICP. RESULTS Of 608 patients with intracranial hemorrhages enrolled during the study time frame, 243 (40%) received an EVD and 165 (n = 107 SAH, n = 58 IPH) had a preplacement head CT scan available for rating. Elevated opening pressure and elevated ICP during hospitalization were recorded in 48 of 152 (29%) and 103 of 165 (62%), respectively. The presence of ≥ 1 radiographic feature had only 32% accuracy for identifying elevated opening pressure (PPV 30%, NPV 58%, area under the curve [AUC] 0.537, 95% asymptotic confidence interval [CI] 0.436-0.637, P = 0.466) and 59% accuracy for predicting elevated ICP during hospitalization (PPV 63%, NPV 40%, AUC 0.514, 95% asymptotic CI 0.391-0.638, P = 0.820). There was no significant association between the number of radiographic features and ICP elevation. Head CT scans without any features suggestive of elevated ICP occurred in 25 of 165 (15%) patients. However, 10 of 25 (40%) of these patients had elevated opening pressure, and 15 of 25 (60%) had elevated ICP during their hospital stay. In multivariable models, mFS (adjusted odds ratio [aOR] 1.36, 95% CI 1.10-1.68) and global cerebral edema (aOR 2.93, 95% CI 1.27-6.75) were significantly associated with elevated ICP; however, their accuracies were only 69% and 60%, respectively. All other individual radiographic features had accuracies between 38 and 58% for identifying intracranial hypertension. CONCLUSIONS More than 50% of patients with spontaneous intracranial hemorrhage without radiographic features suggestive of elevated ICP actually had ICP > 20 mm Hg during EVD placement or their hospital stay. Morphological head CT findings were only 32% and 59% accurate in identifying elevated opening pressure and ICP elevation during hospitalization, respectively.
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Affiliation(s)
- Jennifer A Frontera
- Department of Neurology, New York University School of Medicine, 150 55th St., Brooklyn, New York, NY, USA.
- Department of Neurosurgery, Mount Sinai School of Medicine, New York, NY, USA.
- Cerebrovascular Center of the Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.
| | - Taolin Fang
- Department of Neurology, New York University School of Medicine, 150 55th St., Brooklyn, New York, NY, USA
| | - Kammi Grayson
- Department of Neurology, New York University School of Medicine, 150 55th St., Brooklyn, New York, NY, USA
| | - Rebecca Lalchan
- Department of Neurology, New York University School of Medicine, 150 55th St., Brooklyn, New York, NY, USA
| | - Leah Dickstein
- Department of Neurology, New York University School of Medicine, 150 55th St., Brooklyn, New York, NY, USA
- Department of Neurosurgery, New York University School of Medicine, New York, NY, USA
| | - M Shazam Hussain
- Cerebrovascular Center of the Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - D Ethan Kahn
- Department of Neurology, New York University School of Medicine, 150 55th St., Brooklyn, New York, NY, USA
| | - Aaron S Lord
- Department of Neurology, New York University School of Medicine, 150 55th St., Brooklyn, New York, NY, USA
| | - Daniel Mazzuchin
- Department of Neurosurgery, New York University School of Medicine, New York, NY, USA
| | - Kara R Melmed
- Department of Neurology, New York University School of Medicine, 150 55th St., Brooklyn, New York, NY, USA
- Department of Neurosurgery, New York University School of Medicine, New York, NY, USA
| | - Caleb Rutledge
- Department of Neurosurgery, New York University School of Medicine, New York, NY, USA
| | - Ting Zhou
- Department of Neurology, New York University School of Medicine, 150 55th St., Brooklyn, New York, NY, USA
| | - Ariane Lewis
- Department of Neurology, New York University School of Medicine, 150 55th St., Brooklyn, New York, NY, USA
- Department of Neurosurgery, New York University School of Medicine, New York, NY, USA
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8
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Kamabu LK, Oboth R, Bbosa G, Baptist SJ, Kaddumukasa MN, Deng D, Lekuya HM, Kataka LM, Kiryabwire J, Moses G, Sajatovic M, Kaddumukasa M, Fuller AT. Predictive models for occurrence of expansive intracranial hematomas and surgical evacuation outcomes in traumatic brain injury patients in Uganda: A prospective cohort study. RESEARCH SQUARE 2023:rs.3.rs-3626631. [PMID: 38045250 PMCID: PMC10690308 DOI: 10.21203/rs.3.rs-3626631/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
BACKGROUND Hematoma expansion is a common manifestation of acute intracranial hemorrhage (ICH) which is associated with poor outcomes and functional status. Objective We determined the prevalence of expansive intracranial hematomas (EIH) and assessed the predictive model for EIH occurrence and surgical evacuation outcomes in patients with traumatic brain injury (TBI) in Uganda. Methods We recruited adult patients with TBI with intracranial hematomas in a prospective cohort study. Data analysis using logistic regression to identify relevant risk factors, assess the interactions between variables, and developing a predictive model for EIH occurrence and surgical evacuation outcomes in TBI patients was performed. The predictive accuracies of these algorithms were compared using the area under the receiver operating characteristic curve (AUC). A p-values of < 0.05 at a 95% Confidence interval (CI) was considered significant. Results A total of 324 study participants with intracranial hemorrhage were followed up for 6 months after surgery. About 59.3% (192/324) had expansive intracranial hemorrhage. The study participants with expansive intracranial hemorrhage had poor quality of life at both 3 and 6-months with p < 0.010 respectively. Among the 5 machine learning algorithms, the random forest performed the best in predicting EIH in both the training cohort (AUC = 0.833) and the validation cohort (AUC = 0.734). The top five features in the random forest algorithm-based model were subdural hematoma, diffuse axonal injury, systolic and diastolic blood pressure, association between depressed fracture and subdural hematoma. Other models demonstrated good discrimination with AUC for intraoperative complication (0.675) and poor discrimination for mortality (0.366) after neurosurgical evacuation in TBI patients. Conclusion Expansive intracranial hemorrhage is common among patients with traumatic brain injury in Uganda. Early identification of patients with subdural hematoma, diffuse axonal injury, systolic and diastolic blood pressure, association between depressed fracture and subdural hematoma, were crucial in predicting EIH and intraoperative complications.
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Kamabu LK, Bbosa GS, Lekuya HM, Cho EJ, Kyaruzi VM, Nyalundja AD, Deng D, Sekabunga JN, Kataka LM, Obiga DOD, Kiryabwire J, Kaddumukasa MN, Kaddumukasa M, Fuller AT, Galukande M. Burden, risk factors, neurosurgical evacuation outcomes, and predictors of mortality among traumatic brain injury patients with expansive intracranial hematomas in Uganda: a mixed methods study design. BMC Surg 2023; 23:326. [PMID: 37880635 PMCID: PMC10601114 DOI: 10.1186/s12893-023-02227-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 10/09/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND Expansive intracranial hematomas (EIH) following traumatic brain injury (TBI) continue to be a public health problem in Uganda. Data is limited regarding the neurosurgical outcomes of TBI patients. This study investigated the neurosurgical outcomes and associated risk factors of EIH among TBI patients at Mulago National Referral Hospital (MNRH). METHODS A total of 324 subjects were enrolled using a prospective cohort study. Socio-demographic, risk factors and complications were collected using a study questionnaire. Study participants were followed up for 180 days. Univariate, multivariable, Cox regression analyses, Kaplan Meir survival curves, and log rank tests were sequentially conducted. P-values of < 0.05 at 95% Confidence interval (CI) were considered to be statistically significant. RESULTS Of the 324 patients with intracranial hematomas, 80.6% were male. The mean age of the study participants was 37.5 ± 17.4 years. Prevalence of EIH was 59.3% (0.59 (95% CI: 0.54 to 0.65)). Participants who were aged 39 years and above; PR = 1.54 (95% CI: 1.20 to 1.97; P = 0.001), and those who smoke PR = 1.21 (95% CI: 1.00 to 1.47; P = 0.048), and presence of swirl sign PR = 2.26 (95% CI: 1.29 to 3.95; P = 0.004) were found to be at higher risk for EIH. Kaplan Meier survival curve indicated that mortality at the 16-month follow-up was 53.4% (95% CI: 28.1 to 85.0). Multivariate Cox regression indicated that the predictors of mortality were old age, MAP above 95 mmHg, low GCS, complications such as infection, spasticity, wound dehiscence, CSF leaks, having GOS < 3, QoLIBRI < 50, SDH, contusion, and EIH. CONCLUSION EIH is common in Uganda following RTA with an occurrence of 59.3% and a 16-month higher mortality rate. An increased age above 39 years, smoking, having severe systemic disease, and the presence of swirl sign are independent risk factors. Old age, MAP above 95 mmHg, low GCS, complications such as infection, spasticity, wound dehiscence, CSF leaks, having a GOS < 3, QoLIBRI < 50, ASDH, and contusion are predictors of mortality. These findings imply that all patients with intracranial hematomas (IH) need to be monitored closely and a repeat CT scan to be done within a specific period following their initial CT scan. We recommend the development of a protocol for specific surgical and medical interventions that can be implemented for patients at moderate and severe risk for EIH.
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Affiliation(s)
- Larrey Kasereka Kamabu
- Department of Surgery, Neurosurgery, College of Medicine, Makerere University, Kampala, Uganda.
- Faculty of Medicine, Université Catholique du Graben, Butembo, Democratic Republic of the Congo.
- Department of Surgery, Makerere University College of Health Medicine, Mulago Upper Hill, Kampala, Uganda.
| | - Godfrey S Bbosa
- Department of Pharmacology & Therapeutics, Makerere University College of Health Sciences, Kampala, Uganda
| | - Hervé Monka Lekuya
- Department of Surgery, Neurosurgery, College of Medicine, Makerere University, Kampala, Uganda
- Directorate of Surgical Services, Neurosurgical Unit, Mulago National Referral Hospital, Kampala, Uganda
- Department of Human Structure & Repair/ Neurosurgery, Faculty of Medicine, Ghent University, Ghent, Belgium
| | | | - Victor Meza Kyaruzi
- Department of Surgery, School of Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | - Arsene Daniel Nyalundja
- Faculty of Medicine, Université Catholique de Bukavu, Bukavu, South Kivu, Democratic Republic of the Congo
| | - Daniel Deng
- Duke Global Neurosurgery, Neurology and Health System, Duke University, Durham, NC, USA
| | - Juliet Nalwanga Sekabunga
- Department of Surgery, Neurosurgery, College of Medicine, Makerere University, Kampala, Uganda
- Directorate of Surgical Services, Neurosurgical Unit, Mulago National Referral Hospital, Kampala, Uganda
| | - Louange Maha Kataka
- Faculty of Medicine, Université Catholique du Graben, Butembo, Democratic Republic of the Congo
| | - Doomwin Oscar Deogratius Obiga
- Department of Surgery, Neurosurgery, College of Medicine, Makerere University, Kampala, Uganda
- Directorate of Surgical Services, Neurosurgical Unit, Mulago National Referral Hospital, Kampala, Uganda
| | - Joel Kiryabwire
- Department of Surgery, Neurosurgery, College of Medicine, Makerere University, Kampala, Uganda
- Directorate of Surgical Services, Neurosurgical Unit, Mulago National Referral Hospital, Kampala, Uganda
| | - Martin N Kaddumukasa
- Department of Medicine, School of Medicine, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda
| | - Mark Kaddumukasa
- Department of Medicine, School of Medicine, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda
| | - Anthony T Fuller
- Duke University, Durham, NC, USA
- Duke Global Neurosurgery, Neurology and Health System, Duke University, Durham, NC, USA
| | - Moses Galukande
- Department of Surgery, Neurosurgery, College of Medicine, Makerere University, Kampala, Uganda
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Krawchuk LJ, Sharrock MF. Prognostic Neuroimaging Biomarkers in Acute Vascular Brain Injury and Traumatic Brain Injury. Semin Neurol 2023; 43:699-711. [PMID: 37802120 DOI: 10.1055/s-0043-1775790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/08/2023]
Abstract
Prognostic imaging biomarkers after acute brain injury inform treatment decisions, track the progression of intracranial injury, and can be used in shared decision-making processes with families. Herein, key established biomarkers and prognostic scoring systems are surveyed in the literature, and their applications in clinical practice and clinical trials are discussed. Biomarkers in acute ischemic stroke include computed tomography (CT) hypodensity scoring, diffusion-weighted lesion volume, and core infarct size on perfusion imaging. Intracerebral hemorrhage biomarkers include hemorrhage volume, expansion, and location. Aneurysmal subarachnoid biomarkers include hemorrhage grading, presence of diffusion-restricting lesions, and acute hydrocephalus. Traumatic brain injury CT scoring systems, contusion expansion, and diffuse axonal injury grading are reviewed. Emerging biomarkers including white matter disease scoring, diffusion tensor imaging, and the automated calculation of scoring systems and volumetrics are discussed.
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Affiliation(s)
- Lindsey J Krawchuk
- Department of Neurology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Matthew F Sharrock
- Department of Neurology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
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11
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Wei X, Tang X, You D, Ding E, Pan C. A Clinical-Radiomics Based Nomogram to Predict Progressive Intraparenchymal Hemorrhage in Mild to Moderate Traumatic Injury Patients. Eur J Radiol 2023; 163:110785. [PMID: 37023629 DOI: 10.1016/j.ejrad.2023.110785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 02/17/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023]
Abstract
PURPOSE To develop a non-contrast computed tomography(NCCT)based radiomics model for predicting intraparenchymal hemorrhage progression in patients with mild to moderate traumatic brain injury(TBI). METHODS We retrospectively analyzed 166 mild to moderate TBI patients with intraparenchymal hemorrhage from January 2018 to December 2021. The enrolled patients were divided into training cohort and test cohort with a ratio of 6:4. Uni- and multivariable logistic regression analyses were implemented to screen clinical-radiological factors and to establish a clinical-radiological model. Model performance was evaluated by the area under the receiver operating characteristic curve (AUC), the calibration curve, the decision curve analysis, sensitivity, and specificity. RESULTS Eleven radiomics features, presence with SDH, and D-dimer > 5 mg/l were selected to construct the combined clinical-radiomic model for the prediction of TICH in mild to moderate TBI patients. The AUC of the combined model was 0.81(95% confidence interval (CI), 0.72 to 0.90) in the training cohort and 0.88 (95% CI 0.79 to 0.96) in the test cohort, which were superior to the clinical model alone (AUCtraining = 0.72, AUCtest = 0.74). The calibration curve demonstrated that the radiomics nomogram had a good agreement between prediction and observation. Decision curve analysis confirmed clinically useful. CONCLUSIONS The combined clinical-radiomic model that incorporates the radiomics score and clinical risk factors can serve as a reliable and powerful tool for Predicting intraparenchymal hemorrhage progression for patients with mild to moderate TBI.
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Affiliation(s)
- Xiaoyu Wei
- Department of Radiology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu 213164, China
| | - Xiaoqiang Tang
- Department of Radiology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu 213164, China
| | - Deshu You
- Department of Radiology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu 213164, China
| | - E Ding
- Department of Radiology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu 213164, China
| | - Changjie Pan
- Department of Radiology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu 213164, China.
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Precision Effects of Glibenclamide on MRI Endophenotypes in Clinically Relevant Murine Traumatic Brain Injury. Crit Care Med 2023; 51:e45-e59. [PMID: 36661464 PMCID: PMC9848216 DOI: 10.1097/ccm.0000000000005749] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
OBJECTIVES Addressing traumatic brain injury (TBI) heterogeneity is increasingly recognized as essential for therapy translation given the long history of failed clinical trials. We evaluated differential effects of a promising treatment (glibenclamide) based on dose, TBI type (patient selection), and imaging endophenotype (outcome selection). Our goal to inform TBI precision medicine is contextually timely given ongoing phase 2/planned phase 3 trials of glibenclamide in brain contusion. DESIGN Blinded randomized controlled preclinical trial of glibenclamide on MRI endophenotypes in two established severe TBI models: controlled cortical impact (CCI, isolated brain contusion) and CCI+hemorrhagic shock (HS, clinically common second insult). SETTING Preclinical laboratory. SUBJECTS Adult male C57BL/6J mice (n = 54). INTERVENTIONS Mice were randomized to naïve, CCI±HS with vehicle/low-dose (20 μg/kg)/high-dose glibenclamide (10 μg/mouse). Seven-day subcutaneous infusions (0.4 μg/hr) were continued. MEASUREMENTS AND MAIN RESULTS Serial MRI (3 hr, 6 hr, 24 hr, and 7 d) measured hematoma and edema volumes, T2 relaxation (vasogenic edema), apparent diffusion coefficient (ADC, cellular/cytotoxic edema), and 7-day T1-post gadolinium values (blood-brain-barrier [BBB] integrity). Linear mixed models assessed temporal changes. Marked heterogeneity was observed between CCI versus CCI+HS in terms of different MRI edema endophenotypes generated (all p < 0.05). Glibenclamide had variable impact. High-dose glibenclamide reduced hematoma volume ~60% after CCI (p = 0.0001) and ~48% after CCI+HS (p = 4.1 × 10-6) versus vehicle. Antiedema benefits were primarily in CCI: high-dose glibenclamide normalized several MRI endophenotypes in ipsilateral cortex (all p < 0.05, hematoma volume, T2, ADC, and T1-post contrast). Acute effects (3 hr) were specific to hematoma (p = 0.001) and cytotoxic edema reduction (p = 0.0045). High-dose glibenclamide reduced hematoma volume after TBI with concomitant HS, but antiedema effects were not robust. Low-dose glibenclamide was not beneficial. CONCLUSIONS High-dose glibenclamide benefitted hematoma volume, vasogenic edema, cytotoxic edema, and BBB integrity after isolated brain contusion. Hematoma and cytotoxic edema effects were acute; longer treatment windows may be possible for vasogenic edema. Our findings provide new insights to inform interpretation of ongoing trials as well as precision design (dose, sample size estimation, patient selection, outcome selection, and Bayesian analysis) of future TBI trials of glibenclamide.
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13
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Tang OY, Shao B, Kimata AR, Sastry RA, Wu J, Asaad WF. The Impact of Frailty on Traumatic Brain Injury Outcomes: An Analysis of 691 821 Nationwide Cases. Neurosurgery 2022; 91:808-820. [PMID: 36069524 DOI: 10.1227/neu.0000000000002116] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 06/12/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Frailty, a decline in physiological reserve, prognosticates poorer outcomes for several neurosurgical conditions. However, the impact of frailty on traumatic brain injury outcomes is not well characterized. OBJECTIVE To analyze the association between frailty and traumatic intracranial hemorrhage (tICH) outcomes in a nationwide cohort. METHODS We identified all adult admissions for tICH in the National Trauma Data Bank from 2007 to 2017. Frailty was quantified using the validated modified 5-item Frailty Index (mFI-5) metric (range = 0-5), with mFI-5 ≥2 denoting frailty. Analyzed outcomes included in-hospital mortality, favorable discharge disposition, complications, ventilator days, and intensive care unit (ICU) and total length of stay (LOS). Multivariable regression assessed the association between mFI-5 and outcomes, adjusting for patient demographics, hospital characteristics, injury severity, and neurosurgical intervention. RESULTS A total of 691 821 tICH admissions were analyzed. The average age was 57.6 years. 18.0% of patients were frail (mFI-5 ≥ 2). Between 2007 and 2017, the prevalence of frailty grew from 7.9% to 21.7%. Frailty was associated with increased odds of mortality (odds ratio [OR] = 1.36, P < .001) and decreased odds of favorable discharge disposition (OR = 0.72, P < .001). Frail patients exhibited an elevated rate of complications (OR = 1.06, P < .001), including unplanned return to the ICU (OR = 1.55, P < .001) and operating room (OR = 1.17, P = .003). Finally, frail patients experienced increased ventilator days (+12%, P < .001), ICU LOS (+11%, P < .001), and total LOS (+13%, P < .001). All associations with death and disposition remained significant after stratification for age, trauma severity, and neurosurgical intervention. CONCLUSION For patients with tICH, frailty predicted higher mortality and morbidity, independent of age or injury severity.
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Affiliation(s)
- Oliver Y Tang
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Belinda Shao
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Anna R Kimata
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.,Department of Neuroscience, Brown University, Providence, Rhode Island, USA
| | - Rahul A Sastry
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Joshua Wu
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Wael F Asaad
- Department of Neurosurgery, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.,Department of Neuroscience, Brown University, Providence, Rhode Island, USA.,Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence, Rhode Island, USA.,Carney Institute for Brain Science, Brown University, Providence, Rhode Island, USA
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14
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Tran Q, Frederick H, Tran C, Baqai H, Lurie T, Solomon J, Aligabi A, Olexa J, Cardona S, Bodanapally U, Schwartzbauer G, Downing J. Blood Pressure Variability and Outcome in Traumatic Brain Injury: A Propensity Score Matching Study. West J Emerg Med 2022; 23:769-780. [PMID: 36205663 PMCID: PMC9541979 DOI: 10.5811/westjem.2022.6.55549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 06/27/2022] [Indexed: 11/20/2022] Open
Abstract
Introduction Patients with tIPH (used here to refer to traumatic intraparenchymal hemorrhagic contusion) or intraparenchymal hemorrhage face high rates of mortality and persistent functional deficits. Prior studies have found an association between blood pressure variability (BPV) and neurologic outcomes in patients with spontaneous IPH. Our study investigated the association between BPV and discharge destination (a proxy for functional outcome) in patients with tIPH. Methods We retrospectively reviewed the charts of patients admitted to a Level I trauma center for ≥ 24 hours with tIPH. We examined variability in hourly BP measurements over the first 24 hours of hospitalization. Our outcome of interest was discharge destination (home vs facility). We performed 1:1 propensity score matching and multivariate regressions to identify demographic and clinical factors predictive of discharge home. Results We included 354 patients; 91 were discharged home and 263 to a location other than home. The mean age was 56 (SD 21), 260 (73%) were male, 22 (6%) were on anticoagulation, and 54 (15%) on antiplatelet therapy. Our propensity-matched cohorts included 76 patients who were discharged home and 76 who were discharged to a location other than home. One measure of BPV (successive variation in systolic BP) was identified as an independent predictor of discharge location in our propensity-matched cohorts (odds ratio 0.89, 95% confidence interval 0.8–0.98; P = 0.02). Our model demonstrated good goodness of fit (P-value for Hosmer-Lemeshow test = 0.88) and very good discriminatory capability (AUROC = 0.81). High Glasgow Coma Scale score at 24 hours and treatment with fresh frozen plasma were also associated with discharge home. Conclusion Our study suggests that increased BPV is associated with lower rates of discharge home after initial hospitalization among patients with tIPH. Additional research is needed to evaluate the impact of BP control on patient outcomes.
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Affiliation(s)
- Quincy Tran
- University of Maryland School of Medicine, Baltimore, Maryland; University of Maryland School of Medicine, Research Associate Program in Emergency Medicine & Critical Care, Department of Emergency Medicine, Baltimore, Maryland; The R. Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland; University of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland
| | - Hannah Frederick
- University of Maryland School of Medicine, Research Associate Program in Emergency Medicine & Critical Care, Department of Emergency Medicine, Baltimore, Maryland
| | - Cecilia Tran
- University of Maryland School of Medicine, Baltimore, Maryland
| | - Hammad Baqai
- University of Maryland School of Medicine, Research Associate Program in Emergency Medicine & Critical Care, Department of Emergency Medicine, Baltimore, Maryland
| | - Tucker Lurie
- University of Maryland School of Medicine, Research Associate Program in Emergency Medicine & Critical Care, Department of Emergency Medicine, Baltimore, Maryland; Wellspan York Hospital, Department of Emergency Medicine, York, Pennsylvania
| | - Julianna Solomon
- University of Maryland School of Medicine, Research Associate Program in Emergency Medicine & Critical Care, Department of Emergency Medicine, Baltimore, Maryland
| | - Ayah Aligabi
- University of Maryland School of Medicine, Research Associate Program in Emergency Medicine & Critical Care, Department of Emergency Medicine, Baltimore, Maryland
| | - Joshua Olexa
- University of Maryland School of Medicine, Department of Neurosurgery, Baltimore, Maryland
| | - Stephanie Cardona
- Mount Sinai Hospital, Department of Critical Care Medicine, York, New York
| | - Uttam Bodanapally
- The R. Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland
| | - Gary Schwartzbauer
- The R. Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland; University of Maryland School of Medicine, Department of Neurosurgery, Baltimore, Maryland
| | - Jessica Downing
- The R. Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Program in Trauma/Surgical Critical Care, Baltimore, Maryland
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15
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Shih YJ, Liu YL, Chen JH, Ho CH, Yang CC, Chen TY, Wu TC, Ko CC, Zhou JT, Zhang Y, Su MY. Prediction of Intraparenchymal Hemorrhage Progression and Neurologic Outcome in Traumatic Brain Injury Patients Using Radiomics Score and Clinical Parameters. Diagnostics (Basel) 2022; 12:diagnostics12071677. [PMID: 35885581 PMCID: PMC9320220 DOI: 10.3390/diagnostics12071677] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 07/04/2022] [Accepted: 07/08/2022] [Indexed: 11/16/2022] Open
Abstract
(1) Background: Radiomics analysis of spontaneous intracerebral hemorrhages on computed tomography (CT) images has been proven effective in predicting hematoma expansion and poor neurologic outcome. In contrast, there is limited evidence on its predictive abilities for traumatic intraparenchymal hemorrhage (IPH). (2) Methods: A retrospective analysis of 107 traumatic IPH patients was conducted. Among them, 45 patients (42.1%) showed hemorrhagic progression of contusion (HPC) and 51 patients (47.7%) had poor neurological outcome. The IPH on the initial CT was manually segmented for radiomics analysis. After feature extraction, selection and repeatability evaluation, several machine learning algorithms were used to derive radiomics scores (R-scores) for the prediction of HPC and poor neurologic outcome. (3) Results: The AUCs for R-scores alone to predict HPC and poor neurologic outcome were 0.76 and 0.81, respectively. Clinical parameters were used to build comparison models. For HPC prediction, variables including age, multiple IPH, subdural hemorrhage, Injury Severity Score (ISS), international normalized ratio (INR) and IPH volume taken together yielded an AUC of 0.74, which was significantly (p = 0.022) increased to 0.83 after incorporation of the R-score in a combined model. For poor neurologic outcome prediction, clinical variables of age, Glasgow Coma Scale, ISS, INR and IPH volume showed high predictability with an AUC of 0.92, and further incorporation of the R-score did not improve the AUC. (4) Conclusion: The results suggest that radiomics analysis of IPH lesions on initial CT images has the potential to predict HPC and poor neurologic outcome in traumatic IPH patients. The clinical and R-score combined model further improves the performance of HPC prediction.
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Affiliation(s)
- Yun-Ju Shih
- Department of Medical Imaging, Chi Mei Medical Center, Tainan 710, Taiwan; (Y.-J.S.); (C.-C.Y.); (T.-Y.C.); (T.-C.W.); (C.-C.K.)
| | - Yan-Lin Liu
- Department of Radiological Sciences, University of California, Irvine, CA 92868, USA; (Y.-L.L.); (J.T.Z.); (Y.Z.); (M.-Y.S.)
| | - Jeon-Hor Chen
- Department of Radiological Sciences, University of California, Irvine, CA 92868, USA; (Y.-L.L.); (J.T.Z.); (Y.Z.); (M.-Y.S.)
- Department of Radiology, E-Da Hospital/I-Shou University, Kaohsiung 824, Taiwan
- Correspondence:
| | - Chung-Han Ho
- Department of Medical Research, Chi Mei Medical Center, Tainan 710, Taiwan;
- Department of Information Management, Southern Taiwan University of Science and Technology, Tainan 710, Taiwan
| | - Cheng-Chun Yang
- Department of Medical Imaging, Chi Mei Medical Center, Tainan 710, Taiwan; (Y.-J.S.); (C.-C.Y.); (T.-Y.C.); (T.-C.W.); (C.-C.K.)
| | - Tai-Yuan Chen
- Department of Medical Imaging, Chi Mei Medical Center, Tainan 710, Taiwan; (Y.-J.S.); (C.-C.Y.); (T.-Y.C.); (T.-C.W.); (C.-C.K.)
- Graduate Institute of Medical Sciences, Chang Jung Christian University, Tainan 711, Taiwan
| | - Te-Chang Wu
- Department of Medical Imaging, Chi Mei Medical Center, Tainan 710, Taiwan; (Y.-J.S.); (C.-C.Y.); (T.-Y.C.); (T.-C.W.); (C.-C.K.)
- Department of Medical Sciences Industry, Chang Jung Christian University, Tainan 711, Taiwan
| | - Ching-Chung Ko
- Department of Medical Imaging, Chi Mei Medical Center, Tainan 710, Taiwan; (Y.-J.S.); (C.-C.Y.); (T.-Y.C.); (T.-C.W.); (C.-C.K.)
- Department of Health and Nutrition, Chia Nan University of Pharmacy and Science, Tainan 717, Taiwan
| | - Jonathan T. Zhou
- Department of Radiological Sciences, University of California, Irvine, CA 92868, USA; (Y.-L.L.); (J.T.Z.); (Y.Z.); (M.-Y.S.)
| | - Yang Zhang
- Department of Radiological Sciences, University of California, Irvine, CA 92868, USA; (Y.-L.L.); (J.T.Z.); (Y.Z.); (M.-Y.S.)
- Department of Radiation Oncology, Rutgers-Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA
| | - Min-Ying Su
- Department of Radiological Sciences, University of California, Irvine, CA 92868, USA; (Y.-L.L.); (J.T.Z.); (Y.Z.); (M.-Y.S.)
- Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung 807, Taiwan
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Yang Q, Sun J, Guo Y, Zeng P, Jin K, Huang C, Xu J, Hou L, Li C, Feng J. Radiomics Features on Computed Tomography Combined With Clinical-Radiological Factors Predicting Progressive Hemorrhage of Cerebral Contusion. Front Neurol 2022; 13:839784. [PMID: 35775053 PMCID: PMC9237337 DOI: 10.3389/fneur.2022.839784] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 04/29/2022] [Indexed: 01/02/2023] Open
Abstract
Background Traumatic brain injury (TBI) is the main cause of death and severe disability in young adults worldwide. Progressive hemorrhage (PH) worsens the disease and can cause a poor neurological prognosis. Radiomics analysis has been used for hematoma expansion of hypertensive intracerebral hemorrhage. This study attempts to develop an optimal radiomics model based on non-contrast CT to predict PH by machine learning (ML) methods and compare its prediction performance with clinical-radiological models. Methods We retrospectively analyzed 165 TBI patients, including 89 patients with PH and 76 patients without PH, whose data were randomized into a training set and a testing set at a ratio of 7:3. A total of 10 different machine learning methods were used to predict PH. Univariate and multivariable logistic regression analyses were implemented to screen clinical-radiological factors and to establish a clinical-radiological model. Then, a combined model combining clinical-radiological factors with the radiomics score was constructed. The area under the receiver operating characteristic curve (AUC), accuracy and F1 score, sensitivity, and specificity were used to evaluate the models. Results Among the 10 various ML algorithms, the support vector machine (SVM) had the best prediction performance based on 12 radiomics features, including the AUC (training set: 0.918; testing set: 0.879) and accuracy (training set: 0.872; test set: 0.834). Among the clinical and radiological factors, the onset-to-baseline CT time, the scalp hematoma, and fibrinogen were associated with PH. The radiomics model's prediction performance was better than the clinical-radiological model, while the predictive nomogram combining the radiomics features with clinical-radiological characteristics performed best. Conclusions The radiomics model outperformed the traditional clinical-radiological model in predicting PH. The nomogram model of the combined radiomics features and clinical-radiological factors is a helpful tool for PH.
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Affiliation(s)
- Qingning Yang
- Department of Radiology, Chongqing University Central Hospital, Chongqing, China
| | - Jun Sun
- Department of Radiology, Chongqing University Central Hospital, Chongqing, China
| | - Yi Guo
- Department of Radiology, Chongqing University Central Hospital, Chongqing, China
- *Correspondence: Yi Guo
| | - Ping Zeng
- Department of Radiology, Chongqing University Central Hospital, Chongqing, China
- Ping Zeng
| | - Ke Jin
- Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Beijing, China
| | - Chencui Huang
- Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Beijing, China
| | - Jingxu Xu
- Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Beijing, China
| | - Liran Hou
- Department of Radiology, Panjiang Central Hospital, Guizhou, China
| | - Chuanming Li
- Department of Radiology, Chongqing University Central Hospital, Chongqing, China
| | - Junbang Feng
- Department of Radiology, Chongqing University Central Hospital, Chongqing, China
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17
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Lara-Reyna J, Alali L, Wedderburn R, Margetis K. Compliance with venous thromboembolism chemoprophylaxis guidelines in non-operative traumatic brain injury. Clin Neurol Neurosurg 2022; 215:107212. [DOI: 10.1016/j.clineuro.2022.107212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/08/2022] [Accepted: 03/12/2022] [Indexed: 11/03/2022]
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18
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Wang S, Meagher M, Mullin E, Brown C, Skicki EJ. Routine Repeat Imaging is Unnecessary for Coagulopathic Patients Sustaining Head Trauma. Am Surg 2022; 88:1754-1759. [PMID: 35337209 DOI: 10.1177/00031348221083935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
INTRODUCTION In trauma patients using warfarin, current guidelines recommend computed tomography of the brain (CTH), 24-hour observation, and repeat CTH to monitor for stability. Despite growing evidence of uncommon delayed hemorrhage, this remains standard practice even in mild traumatic brain injury without intracranial hemorrhage (ICH). Our study sought to determine the incidence and outcomes of delayed ICH (DICH) in trauma patients on supra-therapeutic warfarin without initial ICH. METHODS A retrospective, single institutional study was performed of all adult trauma patients (>18 years old) who presented on prehospital warfarin with an international normalized ratio (INR) >3 and initial CTH that did not demonstrate ICH. Each of these patients underwent subsequent CTH within 24 hours and any DICH was identified. Those who demonstrated DICH were further examined to identify potential risk factors and outcomes such as need for further imaging or surgical intervention. Analyses were performed using Fisher's exact tests and Student's t-tests. RESULTS 225 patients were identified from January 2015 to April 2021 that met inclusion criteria. Of those identified, only 3 (1.33%) were found to develop any DICH on routine repeat CTH. Identified characteristics did not reach statistical significance due to the low number of DICH. None of the patients with DICH went on to require intervention. CONCLUSION In patients with identified traumatic injury on supra-therapeutic warfarin, an initial CTH without identified ICH alone is an adequate survey. DICH in these patients is uncommon and routine reimaging within 24 hours is unlikely to change clinical management in patients with intact neurologic status.
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Affiliation(s)
- Steadman Wang
- Department of Surgery, Arnot Health Medical Center, Elmira, NY, USA
| | - Mitchell Meagher
- Department of Surgery, Arnot Health Medical Center, Elmira, NY, USA
| | - Emma Mullin
- Trauma and Acute Care Surgery, 209639Penn Medicine Lancaster General Health, Lancaster, PA, USA
| | - Catherine Brown
- Trauma and Acute Care Surgery, 209639Penn Medicine Lancaster General Health, Lancaster, PA, USA
| | - Edward J Skicki
- Trauma and Acute Care Surgery, 209639Penn Medicine Lancaster General Health, Lancaster, PA, USA
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19
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Sheng J, Chen W, Zhuang D, Li T, Yang J, Cai S, Chen X, Liu X, Tian F, Huang M, Li L, Li K. A Clinical Predictive Nomogram for Traumatic Brain Parenchyma Hematoma Progression. Neurol Ther 2022; 11:185-203. [PMID: 34855160 PMCID: PMC8857351 DOI: 10.1007/s40120-021-00306-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 11/22/2021] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION Acute traumatic intraparenchymal hematoma (tICH) expansion is a major cause of clinical deterioration after brain contusion. Here, an accurate prediction tool for acute tICH expansion is proposed. METHODS A multicenter hospital-based study for multivariable prediction model was conducted among patients (889 patients in a development dataset and 264 individuals in an external validation dataset) with initial and follow-up computed tomography (CT) imaging for tICH volume evaluation. Semi-automated software was employed to assess tICH expansion. Two multivariate predictive models for acute tICH expansion were developed and externally validated. RESULTS A total of 198 (22.27%) individuals had remarkable acute tICH expansion. The novel Traumatic Parenchymatous Hematoma Expansion Aid (TPHEA) model retained several variables, including age, coagulopathy, baseline tICH volume, time to baseline CT time, subdural hemorrhage, a novel imaging marker of multihematoma fuzzy sign, and an inflammatory index of monocyte-to-lymphocyte ratio. Compared with multihematoma fuzzy sign, monocyte-to-lymphocyte ratio, and the basic model, the TPHEA model exhibited optimal discrimination, calibration, and clinical net benefits for patients with acute tICH expansion. A TPHEA nomogram was subsequently introduced from this model to facilitate clinical application. In an external dataset, this device showed good predicting performance for acute tICH expansion. CONCLUSIONS The main predictive factors in the TPHEA nomogram are the monocyte-to-lymphocyte ratio, baseline tICH volume, and multihematoma fuzzy sign. This user-friendly tool can estimate acute tICH expansion and optimize personalized treatments for individuals with brain contusion.
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Affiliation(s)
- Jiangtao Sheng
- Department of Microbiology and Immunology, Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, 22 Xinling Road, Shantou, 515041, Guangdong, Chin
| | - Weiqiang Chen
- Department of Neurosurgery, First Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China
| | - Dongzhou Zhuang
- Department of Neurosurgery, First Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China
| | - Tian Li
- Department of Microbiology and Immunology, Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, 22 Xinling Road, Shantou, 515041, Guangdong, China
| | - Jinhua Yang
- Department of Neurosurgery, First Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China
| | - Shirong Cai
- Department of Neurosurgery, First Affiliated Hospital of Shantou University Medical College, 57 Changping Road, Shantou, 515041, Guangdong, China
| | - Xiaoxuan Chen
- Department of Microbiology and Immunology, Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, 22 Xinling Road, Shantou, 515041, Guangdong, China
| | - Xueer Liu
- Department of Microbiology and Immunology, Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, 22 Xinling Road, Shantou, 515041, Guangdong, China
| | - Fei Tian
- Department of Neurosurgery, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Mindong Huang
- Department of Neurosurgery, Affiliated Jieyang Hospital of Sun Yat-Sen University, Jieyang, Guangdong, China
| | - Lianjie Li
- Department of Neurosurgery, Affiliated East Hospital of Xiamen University Medical College, Fuzhou, Fujian, China
| | - Kangsheng Li
- Department of Microbiology and Immunology, Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, 22 Xinling Road, Shantou, 515041, Guangdong, China
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20
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Zhang P, Tu Q, Ni Z, Zheng Z, Chen Y, Yan L, Bao H, Zhuge Q, Ni H. Association between serum calcium level and hemorrhagic progression in patients with traumatic intraparenchymal hemorrhage: Investigating the mediation and interaction effects of coagulopathy. J Neurotrauma 2022; 39:508-519. [PMID: 35102758 DOI: 10.1089/neu.2021.0388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
In this study, we investigate the association of serum calcium with coagulopathy and hemorrhagic progression contusion (HPC) in patients with traumatic intraparenchymal hemorrhage (tIPH), and further explored the interaction and mediation effect between serum calcium as well as coagulopathy on HPC. Retrospective analyses of patients with tIPH admitted to the First Affiliated Hospital of Wenzhou Medical University between January 2016 to December 2019. The clinical data, coagulation parameters, and serum calcium levels were collected for further analysis. Multivariate logistic regression analysis was applied to identify the association of serum calcium level with coagulopathy and HPC. Causal mediation analysis (CMA) and additive interaction model were used to estimate the interaction and mediation effect between serum calcium as well as coagulopathy on HPC. Additionally, we repeated the analysis using corrected calcium. A total of 473 patients were included in this study. Of these, 54 (11.4%) patients had hypocalcemia at admission, 105 (22.2%) presented with coagulopathy, and 187 (39.5%) experienced HPC. Admission serum calcium level in patients presented with coagulopathy and HPC were 8.84 [IQR: 8.44-9.40] and 8.92 [IQR: 8.48-9.40] mg/dL respectively, which were significantly lower than that of patients without (9.10 [IQR: 8.68-9.88] and 9.12 [IQR: 8.72-9.89] mg/dL; all p < 0.001). Multivariate logistic regression analysis identified that hypocalcemia emerged as an independent risk factor for coagulopathy and HPC. However, no significant interaction was detected between hypocalcemia and coagulopathy. CMA showed that the mediator coagulopathy explained 24.4% (95% CI: 4.7-65.0%; p = 0.006) of the association between hypocalcemia and HPC. Moreover, comparable results were held using corrected calcium as well. Admission serum calcium level is associated with the HPC for patients with tIPH and this relationship is partially mediated by coagulopathy, but no significant interaction is detected. Further studies are needed to validate the findings and explore its mechanisms.
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Affiliation(s)
- Peng Zhang
- The First Affiliated Hospital of Wenzhou Medical University, 89657, Department of Neurosurgery, Wenzhou, Zhejiang, China.,Zhejiang Provincial Key Laboratory of Aging and Neurological Disorder Research, Wenzhou, China;
| | - Qi Tu
- The First Affiliated Hospital of Wenzhou Medical University, 89657, Department of Neurosurgery, Wenzhou, Zhejiang, China.,Zhejiang Provincial Key Laboratory of Aging and Neurological Disorder Research, Wenzhou, China;
| | - Zhihui Ni
- The First Affiliated Hospital of Wenzhou Medical University, 89657, Department of Neurosurgery, Wenzhou, Zhejiang, China.,Zhejiang Provincial Key Laboratory of Aging and Neurological Disorder Research, Wenzhou, China;
| | - Zezheng Zheng
- The First Affiliated Hospital of Wenzhou Medical University, 89657, Department of Neurosurgery, Wenzhou, Zhejiang, China.,Zhejiang Provincial Key Laboratory of Aging and Neurological Disorder Research, Wenzhou, China;
| | - Yu Chen
- The First Affiliated Hospital of Wenzhou Medical University, 89657, Department of Neurosurgery, Wenzhou, Zhejiang, China.,Zhejiang Provincial Key Laboratory of Aging and Neurological Disorder Research, Wenzhou, China;
| | - Lin Yan
- The First Affiliated Hospital of Wenzhou Medical University, 89657, Zhejiang Provincial Key Laboratory of Aging and Neurological Disorder Research, Wenzhou, Zhejiang, China.,The First Affiliated Hospital of Wenzhou Medical University, 89657, Department of Neurosurgery, Wenzhou, Zhejiang, China;
| | - Han Bao
- The First Affiliated Hospital of Wenzhou Medical University, 89657, Department of Neurosurgery, Wenzhou, Zhejiang, China.,Zhejiang Provincial Key Laboratory of Aging and Neurological Disorder Research, Wenzhou, China;
| | - Qichuan Zhuge
- The First Affiliated Hospital of Wenzhou Medical University, 89657, Zhejiang Provincial Key Laboratory of Aging and Neurological Disorder Research, Wenzhou, Zhejiang, China.,The First Affiliated Hospital of Wenzhou Medical University, 89657, Department of Neurosurgery, Wenzhou, Zhejiang, China;
| | - Haoqi Ni
- The First Affiliated Hospital of Wenzhou Medical University, 89657, Zhejiang Provincial Key Laboratory of Aging and Neurological Disorder Research, wenzhou, Wenzhou, Zhejiang, China, 325000.,The First Affiliated Hospital of Wenzhou Medical University, 89657, Department of Neurosurgery, wenzhou, Wenzhou, Zhejiang, China, 325000;
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21
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Chen M, Li Z, Yan Z, Ge S, Zhang Y, Yang H, Zhao L, Liu L, Zhang X, Cai Y, Qu Y. Predicting Neurological Deterioration after Moderate Traumatic Brain Injury: Development and Validation of a Prediction Model Based on Data Collected on Admission. J Neurotrauma 2022; 39:371-378. [PMID: 35018830 DOI: 10.1089/neu.2021.0360] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Moderate traumatic brain injury (mTBI) is a heterogeneous entity that poorly defined in the literature. mTBI patients suffer from a high rate of neurological deterioration (ND), which is usually accompanied with poor prognosis and no definitive methods to predict. The purpose of this study is to develop and validate a prediction model that estimates the ND risk in mTBI patients using data collected on admission. Retrospectively collected 479 mTBI patients' data in our department were analyzed by logistic regression models. Bivariable logistic regression identified variables with a p-value<0.05. Multivariable logistic regression modeling with backward stepwise elimination was used to determine reduced parameters and establish a prediction model. The discrimination efficacy, calibration efficacy, and clinical utility of the prediction model were evaluated. The prediction model was validated using 176 patients' data collected from another hospital. Eight independent prognostic factors were identified: hypertension, Marshall's scale (types III and IV), subdural hemorrhage (SDH), location of contusion (LOC) (frontal and temporal contusions), Injury Severity Score (ISS) >13, D-dimer level >11.4 mg/L, Glasgow Coma Scale (GCS) score ≤10, and platelet (PLT) count ≤152×109/L. A prediction model was established and was shown as a nomogram. Using bootstrapping, internal validation showed that the C-statistic of the prediction model was 0.881 (95% confidence interval (CI): 0.849-0.909). The results of external validation showed that the nomogram could predict ND with an area under the curve (AUC) of 0.827 (95% CI: 0763.-0.880). The present model, based on simple parameters collected on admission, can predict the risk of ND in mTBI patients accurately. The high discriminative ability indicates the potential of this model for classifying mTBI patients according to ND risk.
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Affiliation(s)
- Mingsheng Chen
- Air Force Medical University Tangdu Hospital Department of Neurosurgery, 571816, Xi'an, Shaanxi, China;
| | - Zhihong Li
- Air Force Medical University Tangdu Hospital Department of Neurosurgery, 571816, Xi'an, Shaanxi, China;
| | - Zhifeng Yan
- Air Force Medical University Tangdu Hospital Department of Neurosurgery, 571816, Xi'an, Shaanxi, China;
| | - Shunnan Ge
- Tangdu Hospital Fourth Military Medical University, 56697, Department of Neurosurgery, Xi'an, Shaan Xi, China;
| | - Yongbing Zhang
- Department of Neurosurgery, Yan'an People's Hospital, yan'an, Shaanxi, China;
| | - Haigui Yang
- Department of Neurosurgery, Yan'an People's Hospital, yan'an, Shaanxi, China;
| | - Lanfu Zhao
- Air Force Medical University Tangdu Hospital Department of Neurosurgery, 571816, Xi'an, Shaanxi, China;
| | - Lingyu Liu
- Air Force Medical University Tangdu Hospital Department of Neurosurgery, 571816, Xi'an, Shaanxi, China;
| | - Xingye Zhang
- Air Force Medical University Tangdu Hospital Department of Neurosurgery, 571816, Xi'an, Shaanxi, China;
| | - Yaning Cai
- Air Force Medical University Tangdu Hospital Department of Neurosurgery, 571816, Xi'an, Shaanxi, China;
| | - Yan Qu
- Tangdu Hospital Fourth Military Medical University, 56697, Department of Neurosurgery, Xi'an, Shaan Xi, China.,Tangdu Hospital Fourth Military Medical University, 56697, Neurosurgery Dpartment, Xi'an, China;
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22
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Traumatic brain injury and intraparenchymal hemorrhage progression: Blood pressure variability matters. Am J Emerg Med 2021; 52:119-127. [PMID: 34920393 DOI: 10.1016/j.ajem.2021.12.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/29/2021] [Accepted: 12/03/2021] [Indexed: 11/21/2022] Open
Abstract
INTRODUCTION Blood pressure variability (BPV) has been shown to correlate with intraparenchymal hematoma progression (HP) and worse outcomes in patients with spontaneous intracerebral hemorrhage (sICH). However, this association has not been elucidated in patients with traumatic intraparenchymal hemorrhage or contusion (tIPH). We hypothesized that 24 h-BPV from time of admission is associated with hemorrhagic progression of contusion or intraparenchymal hemorrhage (HPC), and worse outcomes in patients with tIPH. METHOD We performed a retrospective observational analysis of adult patients treated at an academic regional Level 1 trauma center between 01/2018-12/2019. We included patients who had tIPH and ≥ 2 computer tomography (CT) scans within 24 h of admission. HP, defined as ≥30% of admission hematoma volume, was calculated by the ABC/2 method. We performed stepwise multivariable logistic regressions for the association between clinical factors and outcomes. RESULTS We analyzed 354 patients' charts. Mean age (Standard Deviation [SD]) was 56 (SD = 21) years, 260 (73%) were male. Mean admission hematoma volume was 7 (SD =19) cubic centimeters (cm3), 160 (45%) had HP. Coefficient of variation in systolic blood pressure (SBPCV) (OR 1.03, 95%CI 1.02-1.3, p = 0.026) was significantly associated with HPC among patients requiring external ventricular drain (EVD). Difference between highest and lowest systolic blood pressure (SBPmax-min) (OR 1.02, 95%CI 1.004-1.03, p = 0.007) was associated with hospital mortality. CONCLUSION SBPCV was significantly associated with HP among patients who required EVD. Additionally, increased SBPmax-min was associated with an increase in mortality. Clinicians should be cautious with patients' blood pressure until further studies confirm these observations.
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23
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Liu HB, Xu WM, Wang SS, Wei LF, Hong JF, Wang C, Xian L. Analysis of changes in the volume of edema around brain contusions and the influencing factors: A single-center, retrospective, observational study. Medicine (Baltimore) 2021; 100:e27246. [PMID: 34559127 PMCID: PMC8462588 DOI: 10.1097/md.0000000000027246] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 08/26/2021] [Indexed: 01/05/2023] Open
Abstract
Traumatic brain injury (TBI), a common neurosurgical condition, has well-known treatment guidelines. However, the mechanisms underlying the varying severity of brain edema secondary to TBI are largely unknown, leading to controversial treatments.This study seeks to measure edema volumes around brain contusions in different regions, analyze factors related to differences in edema volume and provide a theoretical basis for brain edema treatment.Data from 113 brain contusion patients treated at the Department of Neurosurgery of Fuzhou General Hospital from January 2017 to November 2019 were analyzed retrospectively. Based on computed tomography (CT) data, the patients were divided into the venous group (brain contusion in regions with large cortical veins, n = 47) and the nonvenous group (brain contusions in other regions, n = 66). Here, 3D Slicer software was used to calculate the brain contusion volume on the first CT obtained after injury and the brain contusion volume and its surrounding edema on the 5th day after injury. The brain contusion volume to surrounding edema volume ratio was calculated, and the number of patients who showed brain contusion progression requiring surgery was determined. Hematocrit (Hct), fibrinogen (Fg), and d-dimer levels within 6 hours and on the 5th day after admission were also compared.Patients in the venous group had a significantly increased percentage of area with edema around the brain contusion compared with patients in the nonvenous group (P < .05), and the 2 groups showed no significant difference in the number of patients with brain contusion progression or surgical treatment (P > .05) or Hct, Fg, or d-dimer (D-D) levels. For all patients, Hct, Fg, and D-D levels within 6 hours after admission were significantly different from those on the 5th day (P < .05 for all).Cortical venous obstruction may be the most important factor influencing edema around brain contusions. The Fg level decreased slightly, and the D-D level increased to its peak rapidly after mild-moderate TBI. This change was followed by a gradual increase in the former and a gradual decrease in the latter.
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Affiliation(s)
- Hai-Bing Liu
- Department of Neurosurgery of the 900th Hospital, Fuzong Clinical Medical School of Fujian Medical University, Fuzhou, Fujian Province, China
| | - Wei-Ming Xu
- Department of Neurosurgery, Hospital of Fuzhou Changle District, Fuzhou, Fujian Province, China
| | - Shou-Sen Wang
- Department of Neurosurgery of the 900th Hospital, Fuzong Clinical Medical School of Fujian Medical University, Fuzhou, Fujian Province, China
| | - Liang-Feng Wei
- Department of Neurosurgery of the 900th Hospital, Fuzong Clinical Medical School of Fujian Medical University, Fuzhou, Fujian Province, China
| | - Jing-Fang Hong
- Department of Neurosurgery of the 900th Hospital, Fuzong Clinical Medical School of Fujian Medical University, Fuzhou, Fujian Province, China
| | - Cheng Wang
- Department of Neurosurgery of the 900th Hospital, Fuzong Clinical Medical School of Fujian Medical University, Fuzhou, Fujian Province, China
| | - Liang Xian
- Department of Neurosurgery of the 900th Hospital, Fuzong Clinical Medical School of Fujian Medical University, Fuzhou, Fujian Province, China
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24
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Zhang L, Zhuang Q, Wu G, Yu J, Shi Z, Yuan Q, Yu J, Hu J. Combined Radiomics Model for Prediction of Hematoma Progression and Clinical Outcome of Cerebral Contusions in Traumatic Brain Injury. Neurocrit Care 2021; 36:441-451. [PMID: 34350554 DOI: 10.1007/s12028-021-01320-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 07/15/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Traumatic brain injury is a common and devastating injury that is the leading cause of neurological disability and death worldwide. Patients with cerebral lobe contusion received conservative treatment because of their mild manifestations, but delayed intracranial hematoma may increase and even become life-threatening. We explored the noninvasive method to predict the prognosis of progression and Glasgow Outcome Scale (GOS) by using a quantitative radiomics approach and statistical analysis. METHODS Eighty-eight patients who were pathologically diagnosed were retrospectively studied. The radiomics method developed in this work included image segmentation, feature extraction, and feature selection. The nomograms were established based on statistical analysis and a radiomics method. We conducted a comparative study of hematoma progression and GOS between the clinical factor alone and fusion radiomics features. RESULTS Nineteen clinical factors, 513 radiomics features, and 116 locational features were considered. Among clinical factors, international normalized ratio, prothrombin time, and fibrinogen were enrolled for hematoma progression. As for GOS, treatment strategy, age, Glasgow Coma Scale score, and blood platelet were associated factors. Eight features for GOS and five features for hematoma progression were filtered by using sparse representation and locality preserving projection-combined method. Four nomograms were constructed. After fusion radiomics features, area under the curve of hematoma progression prediction increased from 0.832 to 0.899, whereas GOS prediction went from 0.794 to 0.844. CONCLUSIONS A radiomic-based model that merges radiomics and clinical features is a noninvasive approach to predict hematoma progression and clinical outcomes of cerebral contusions in traumatic brain injury.
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Affiliation(s)
- Liqiong Zhang
- Department of Electronic Engineering, Fudan University, Shanghai, China
| | - Qiyuan Zhuang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.,Shanghai Brain Function Restoration and Neural Regenerative Key Laboratory, Shanghai, China
| | - Guoqing Wu
- Department of Electronic Engineering, Fudan University, Shanghai, China
| | - Jinhua Yu
- Department of Electronic Engineering, Fudan University, Shanghai, China
| | - Zhifeng Shi
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.,Shanghai Brain Function Restoration and Neural Regenerative Key Laboratory, Shanghai, China
| | - Qiang Yuan
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China. .,Shanghai Brain Function Restoration and Neural Regenerative Key Laboratory, Shanghai, China.
| | - Jian Yu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China. .,Shanghai Brain Function Restoration and Neural Regenerative Key Laboratory, Shanghai, China.
| | - Jin Hu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.,Shanghai Brain Function Restoration and Neural Regenerative Key Laboratory, Shanghai, China
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25
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Jha RM, Zusman BE, Puccio AM, Okonkwo DO, Pease M, Desai SM, Leach M, Conley YP, Kochanek PM. Genetic Variants Associated With Intraparenchymal Hemorrhage Progression After Traumatic Brain Injury. JAMA Netw Open 2021; 4:e2116839. [PMID: 34309670 PMCID: PMC8314141 DOI: 10.1001/jamanetworkopen.2021.16839] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
IMPORTANCE Intracerebral hemorrhage progression is associated with unfavorable outcome after traumatic brain injury (TBI). No effective treatments are currently available. This secondary injury process reflects an extreme form of vasogenic edema and blood-brain barrier breakdown. The sulfonylurea receptor 1-transient receptor potential melastatin 4 (SUR1-TRPM4) cation channel is a key underlying mechanism. A phase 2 trial of SUR1-TRPM4 inhibition in contusional TBI is ongoing, and a phase 3 trial is being designed. Targeted identification of patients at increased risk for hemorrhage progression may inform prognostication, trial design (including patient selection), and ultimately treatment response. OBJECTIVE To determine whether ABCC8 (SUR1) and TRPM4 genetic variability are associated with intraparenchymal hemorrhage (IPH) progression after severe TBI, based on the putative involvement of the SUR1-TRPM4 channel in this pathophysiology. DESIGN, SETTING, AND PARTICIPANTS In this genetic association study, DNA was extracted from 416 patients with severe TBI prospectively enrolled from a level I trauma academic medical center from May 9, 2002, to August 8, 2014. Forty ABCC8 and TRPM4 single-nucleotide variants (SNVs) were genotyped (multiplex, unbiased). Data were analyzed from January 7, 2020, to May 3, 2021. MAIN OUTCOMES AND MEASURES Primary analyses addressed IPH progression at 6, 24, and 120 hours in patients without acute craniectomy (n = 321). Multivariable regressions and receiver operating characteristic curves assessed SNV and haplotype associations with progression. Spatial modeling and functional predictions were determined using standard software. RESULTS Of the 321 patients included in the analysis (mean [SD] age, 37.0 [16.3] years; 247 [76.9%] male), IPH progression occurred in 102. Four ABCC8 SNVs were associated with markedly increased odds of progression (rs2237982 [odds ratio (OR), 2.60-3.80; 95% CI, 1.14-5.90 to 1.80-8.02; P = .02 to P < .001], rs2283261 [OR, 3.37-4.77; 95% CI, 1.07-10.77 to 1.89-12.07; P = .04 to P = .001], rs3819521 [OR, 2.96-3.92; 95% CI, 1.13-7.75 to 1.42-10.87; P = .03 to P = .009], and rs8192695 [OR, 3.06-4.95; 95% CI, 1.02-9.12 to 1.67-14.68]; P = .03-.004). These are brain-specific expression quantitative trait loci (eQTL) associated with increased ABCC8 messenger RNA levels. Regulatory annotations revealed promoter and enhancer marks and strong and/or active brain-tissue transcription, directionally consistent with increased progression. Three SNVs (rs2283261, rs2237982, and rs3819521) in this cohort have been associated with intracranial hypertension. Four TRPM4 SNVs were associated with decreased IPH progression (rs3760666 [OR, 0.40-0.49; 95% CI, 0.19-0.86 to 0.27-0.89; P = .02 to P = .009], rs1477363 [OR, 0.40-0.43; 95% CI, 0.18-0.88 to 0.23-0.81; P = .02 to P = .006], rs10410857 [OR, 0.36-0.41; 95% CI, 0.20-0.67 to 0.20-0.85; P = .02 to P = .001], and rs909010 [OR, 0.27-0.40; 95% CI, 0.12-0.62 to 0.16-0.58; P = .002 to P < .001]). Significant SNVs in both genes cluster downstream, flanking exons encoding the receptor site and SUR1-TRPM4 binding interface. Adding genetic variation to clinical models improved receiver operating characteristic curve performance from 0.6959 to 0.8030 (P = .003). CONCLUSIONS AND RELEVANCE In this genetic association study, 8 ABCC8 and TRPM4 SNVs were associated with IPH progression. Spatial clustering, brain-specific eQTL, and regulatory annotations suggest biological plausibility. These findings may have important implications for neurocritical care risk stratification, patient selection, and precision medicine, including an upcoming phase 3 trial design for SUR1-TRPM4 inhibition in severe TBI.
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Affiliation(s)
- Ruchira M. Jha
- Department of Neurology, Barrow Neurological Institute, Phoenix, Arizona
- Department of Neurological Surgery, Barrow Neurological Institute, Phoenix, Arizona
- Department of Neurobiology, Barrow Neurological Institute, Phoenix, Arizona
| | - Benjamin E. Zusman
- medical student at School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
- now affiliated with Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Ava M. Puccio
- Department of Neurological Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - David O. Okonkwo
- Department of Neurological Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Matthew Pease
- Department of Neurological Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Shashvat M. Desai
- Department of Neurology, Barrow Neurological Institute, Phoenix, Arizona
| | - Matthew Leach
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Yvette P. Conley
- School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania
- Clinical and Translational Science Institute, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Patrick M. Kochanek
- Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
- Clinical and Translational Science Institute, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
- Department of Pediatrics, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
- Safar Center for Resuscitation Research, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
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26
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Taking a History in Neurocritically Ill Patients. Neurocrit Care 2021; 32:677-682. [PMID: 32346841 DOI: 10.1007/s12028-020-00979-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
A clinical history leads to an examination, tests and a diagnosis. This time-honored sequence in medicine remains valid in critical illness, but in the heat of the moment there is a quickly appearing inevitable sketchiness. Intensivists should never be too unquestioning, too comfortable with incomplete information, or too unwilling to start over if information is muddled or contradictory. No scale in neurology looks at history. There is no tool or requirement to provide a standard system of communication. I review the essentials of history taking in a neurocritically ill patient. Examples of the value of a good medical history are shown but also the familiar biases when asking questions. There are obstacles, errors of commission and omission, and the importance of recognition of a clinical trajectory.
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Mallah K, Couch C, Alshareef M, Borucki D, Yang X, Alawieh A, Tomlinson S. Complement mediates neuroinflammation and cognitive decline at extended chronic time points after traumatic brain injury. Acta Neuropathol Commun 2021; 9:72. [PMID: 33879257 PMCID: PMC8056513 DOI: 10.1186/s40478-021-01179-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 04/10/2021] [Indexed: 11/10/2022] Open
Abstract
Traumatic brain injury (TBI) can result in progressive cognitive decline occurring for years after the initial insult, and for which there is currently no pharmacological treatment. An ongoing chronic inflammatory response after TBI is thought to be an important factor in driving this cognitive decline. Here, we investigate the role of complement in neuroinflammation and cognitive decline for up to 6 months after murine TBI. Male C57BL/6 mice were subjected to open head injury using a controlled cortical impact device. At 2 months post TBI, mice were moved to large cages with an enriched environment to simulate rehabilitation therapy, and assigned to one of three treatment groups: 1. vehicle (PBS), 2. CR2Crry (3 doses over 1 week), 3. CR2Crry (continuous weekly dose until the end of the study). The study was terminated at 6 months post-TBI for all groups. Motor and cognitive function was analyzed, with histopathological analysis of brain tissue. Measured at 6 months after TBI, neither of the complement inhibition paradigms improved motor performance. However, mice receiving continuous CR2Crry treatment showed improved spatial learning and memory compared to both mice receiving only 3 doses and to mice receiving vehicle control. Analysis of brain sections at 6 months after injury revealed ongoing complement activation in the control group, with reduced complement activation and C3 deposition in the continuous CR2Crry treatment group. The ipsilateral hemisphere of continuously treated animals also showed a decrease in microglia/macrophage and astrocyte activation compared to vehicle. There was also increased astrocytosis in the contralateral hippocampus of vehicle treated vs. naïve mice, which was reduced in mice continuously treated with CR2Crry. This study demonstrates continued complement mediated neuroinflammation at extended chronic time points after TBI, and extends the potential treatment window for complement inhibition, which has previously been shown to improve outcomes after murine TBI.
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Affiliation(s)
- Khalil Mallah
- Department of Microbiology and Immunology, Medical University of South Carolina, 173 Ashley Avenue, BSB 204, MSC 504, Charleston, SC, 29425, USA
| | - Christine Couch
- Department of Microbiology and Immunology, Medical University of South Carolina, 173 Ashley Avenue, BSB 204, MSC 504, Charleston, SC, 29425, USA
- Department of Health Sciences and Research, College of Health Professions, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Mohammed Alshareef
- Department of Microbiology and Immunology, Medical University of South Carolina, 173 Ashley Avenue, BSB 204, MSC 504, Charleston, SC, 29425, USA
- Department of Neurological Surgery, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Davis Borucki
- Department of Microbiology and Immunology, Medical University of South Carolina, 173 Ashley Avenue, BSB 204, MSC 504, Charleston, SC, 29425, USA
- Department of Neurosciences, Medical University of South Carolina, Charleston, SC, 29425, USA
- Medical Scientist Training Program, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Xiaofeng Yang
- Department of Microbiology and Immunology, Medical University of South Carolina, 173 Ashley Avenue, BSB 204, MSC 504, Charleston, SC, 29425, USA
| | - Ali Alawieh
- Department of Microbiology and Immunology, Medical University of South Carolina, 173 Ashley Avenue, BSB 204, MSC 504, Charleston, SC, 29425, USA.
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, 30322, USA.
| | - Stephen Tomlinson
- Department of Microbiology and Immunology, Medical University of South Carolina, 173 Ashley Avenue, BSB 204, MSC 504, Charleston, SC, 29425, USA.
- Ralph Johnson VA Medical Center, Charleston, SC, 29401, USA.
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Leitner L, El-Shabrawi JH, Bratschitsch G, Eibinger N, Klim S, Leithner A, Puchwein P. Risk adapted diagnostics and hospitalization following mild traumatic brain injury. Arch Orthop Trauma Surg 2021; 141:619-627. [PMID: 32705384 PMCID: PMC7966191 DOI: 10.1007/s00402-020-03545-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 07/15/2020] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Traumatic brain injury (TBI) remains a leading cause of hospital admission and mortality, intracranial hemorrhage (ICH) presents a severe complication. Low complication tolerance in developed countries and risk uncertainty, often cause excessive observation, diagnostics and hospitalization, considered unnecessary and expensive. Risk factors predicting ICH, progression and death in patients hospitalized with mild TBI have not been identified yet. METHODS Mild TBI cases indicated for cranial computer tomography (CT) and hospitalization, according to international guidelines, at our Level I Trauma Center between 2008 and 2018 were retrospectively included. Multivariate logistic regression was performed for ICH, progression and mortality predictors. RESULTS 1788 mild TBI adults (female: 44.3%; age at trauma: 58.0 ± 22.7), were included. Skull fracture was diagnosed in 13.8%, ICH in 46.9%, ICH progression in 10.6%. In patients < 35 years with mild TBI, chronic alcohol consumption (p = 0.004) and skull fracture (p < 0.001) were significant ICH risk factors, whilst in patients between 35 and 65 years, chronic alcohol consumption (p < 0.001) and skull fracture (p < 0.001) revealed as significant ICH predictors. In patients with mild TBI > 65 years, age (p = 0.009), anticoagulation (p = 0.007) and neurocranial fracture (p < 0.001) were significant, independent risk factors for ICH, whilst increased age (p = 0.01) was a risk factor for mortality following ICH in mild TBI. Late-onset ICH only occurred in mild TBI cases with at least two of these risk factors: age > 65, anticoagulation, neurocranial fracture. Overall hospitalization could have been reduced by 15.8% via newly identified low-risk cases. CONCLUSIONS Age, skull fracture and chronic alcohol abuse require vigilant observation. Repeated CT in initially ICH negative cases should only be considered in newly identified high-risk patients. Non-ICH cases aged < 65 years do not gain safety from observation or hospitalization. Recommendations from our data might, without impact on patient safety, reduce costs by unnecessary hospitalization and diagnostics.
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Affiliation(s)
- Lukas Leitner
- Department of Orthopedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, 8036, Graz, Austria.
| | - Jasmin Helena El-Shabrawi
- Department of Orthopedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, 8036, Graz, Austria
| | - Gerhard Bratschitsch
- Department of Orthopedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, 8036, Graz, Austria
| | - Nicolas Eibinger
- Department of Orthopedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, 8036, Graz, Austria
| | - Sebastian Klim
- Department of Orthopedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, 8036, Graz, Austria
| | - Andreas Leithner
- Department of Orthopedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, 8036, Graz, Austria
| | - Paul Puchwein
- Department of Orthopedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, 8036, Graz, Austria
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29
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Scarboro M, McQuillan KA. Traumatic Brain Injury Update. AACN Adv Crit Care 2021; 32:29-50. [PMID: 33725106 DOI: 10.4037/aacnacc2021331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Traumatic brain injury is a devastating, life-changing event in most cases. After the primary brain insult, it is helpful to use evidence-based monitoring techniques to guide implementation of essential interventions to minimize secondary injury and thereby improve patient outcomes. An update on multimodal neuromonitoring is provided in this narrative review, with discussion of tools and techniques currently used in the treatment of patients with brain injury. Neuroprotective treatments, from the well-studied targeted temperature management to new potential therapeutics under investigation, such as glyburide, also are presented.
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Affiliation(s)
- Maureen Scarboro
- Maureen Scarboro is Acute Care Nurse Practitioner, Neurosurgery, R Adams Cowley Shock Trauma Center, University of Maryland Medical Center, 22 S Greene St, Baltimore, MD 21201
| | - Karen A McQuillan
- Karen A. McQuillan is Lead Clinical Nurse Specialist, R Adams Cowley Shock Trauma Center, University of Maryland Medical Center, Baltimore, Maryland
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30
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Adatia K, Newcombe VFJ, Menon DK. Contusion Progression Following Traumatic Brain Injury: A Review of Clinical and Radiological Predictors, and Influence on Outcome. Neurocrit Care 2021; 34:312-324. [PMID: 32462411 PMCID: PMC7253145 DOI: 10.1007/s12028-020-00994-4] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Secondary injuries remain an important cause of the morbidity and mortality associated with traumatic brain injury (TBI). Progression of cerebral contusions occurs in up to 75% of patients with TBI, and this contributes to subsequent clinical deterioration and requirement for surgical intervention. Despite this, the role of early clinical and radiological factors in predicting contusion progression remains relatively poorly defined due to studies investigating progression of all types of hemorrhagic injuries as a combined cohort. In this review, we summarize data from recent studies on factors which predict contusion progression, and the effect of contusion progression on clinical outcomes.
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Affiliation(s)
- Krishma Adatia
- Division of Anaesthesia, University of Cambridge, Cambridge, UK.
| | | | - David K Menon
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
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31
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Sheng J, Li T, Zhuang D, Cai S, Yang J, Ding F, Chen X, Tian F, Huang M, Li L, Li K, Chen W. The Monocyte-to-Lymphocyte Ratio at Hospital Admission Is a Novel Predictor for Acute Traumatic Intraparenchymal Hemorrhage Expansion after Cerebral Contusion. Mediators Inflamm 2020; 2020:5483981. [PMID: 33456370 PMCID: PMC7785383 DOI: 10.1155/2020/5483981] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 11/27/2020] [Accepted: 12/12/2020] [Indexed: 02/05/2023] Open
Abstract
PURPOSE To explore the potential of monocyte-to-lymphocyte ratio (MLR) at hospital admission for predicting acute traumatic intraparenchymal hematoma (tICH) expansion in patients with cerebral contusion. Patients and Methods. This multicenter, observational study included patients with available at-hospital admission (baseline) and follow-up computed tomography for volumetric analysis (retrospective development cohort: 1146 patients; prospective validation cohort: 207 patients). Semiautomated software assessed tICH expansion (defined as ≥33% or 5 mL absolute growth). MLR was acquired from routine blood tests upon admission. We constructed two predictive models: basic combined model of clinical and imaging variables and MLR combined model of both MLR and other variables in the basic model. Receiver operating characteristic (ROC) analysis and decision curve analysis (DCA) were used to estimate the performance of MLR for predicting acute tICH expansion. RESULTS MLR was significantly larger in patients with acute tICH expansion compared to those without acute tICH expansion (mean [SD], 1.08 [1.05] vs. 0.59 [0.37], P < 0.001). A nonlinear positive relationship between MLR and the incidence of acute tICH expansion was observed. Multivariate logistic regression indicated MLR as an independent risk factor for acute tICH expansion (odds ratio (OR), 5.88; 95% confidence interval (CI), 4.02-8.61). The power of the multivariate model for predicting acute tICH expansion was substantially improved with the inclusion of MLR (AUC 0.86 vs. AUC 0.74, P < 0.001), as was also observed in an external validation cohort (AUC 0.83 vs. AUC 0.71, P < 0.001). The net benefit of MLR model was higher between threshold probabilities of 20-100% in DCA. For clinical application, a nomogram derived from the multivariate model with MLR was introduced. In addition, MLR was positively associated with 6-month unfavorable outcome. CONCLUSION MLR is a novel predictor for traumatic parenchymatous hematoma expansion. A nomogram derived from the MLR model may provide an easy-to-use tool for predicting acute tICH expansion and promoting the individualized treatment of patients with hemorrhagic cerebral contusion. MLR is associated with long-term outcome after cerebral contusion.
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Affiliation(s)
- Jiangtao Sheng
- Department of Microbiology and Immunology & Key Immunopathology Laboratory of Guangdong Province, Shantou University Medical College, Shantou, Guangdong, China
| | - Tian Li
- Department of Microbiology and Immunology & Key Immunopathology Laboratory of Guangdong Province, Shantou University Medical College, Shantou, Guangdong, China
| | - Dongzhou Zhuang
- Department of Neurosurgery, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Shirong Cai
- Department of Neurosurgery, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Jinhua Yang
- Department of Neurosurgery, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Faxiu Ding
- Department of Neurosurgery, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Xiaoxuan Chen
- Department of Microbiology and Immunology & Key Immunopathology Laboratory of Guangdong Province, Shantou University Medical College, Shantou, Guangdong, China
| | - Fei Tian
- Department of Neurosurgery, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Mindong Huang
- Department of Neurosurgery, Affiliated Jieyang Hospital of Sun Yat-sen University, Jieyang, Guangdong, China
| | - Lianjie Li
- Department of Neurosurgery, Fuzhou General Hospital of Xiamen University Medical College, Fuzhou, Fujian, China
| | - Kangsheng Li
- Department of Microbiology and Immunology & Key Immunopathology Laboratory of Guangdong Province, Shantou University Medical College, Shantou, Guangdong, China
| | - Weiqiang Chen
- Department of Neurosurgery, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
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32
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Jha RM, Mondello S, Bramlett HM, Dixon CE, Shear DA, Dietrich WD, Wang KKW, Yang Z, Hayes RL, Poloyac SM, Empey PE, Lafrenaye AD, Yan HQ, Carlson SW, Povlishock JT, Gilsdorf JS, Kochanek PM. Glibenclamide Treatment in Traumatic Brain Injury: Operation Brain Trauma Therapy. J Neurotrauma 2020; 38:628-645. [PMID: 33203303 DOI: 10.1089/neu.2020.7421] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Glibenclamide (GLY) is the sixth drug tested by the Operation Brain Trauma Therapy (OBTT) consortium based on substantial pre-clinical evidence of benefit in traumatic brain injury (TBI). Adult Sprague-Dawley rats underwent fluid percussion injury (FPI; n = 45), controlled cortical impact (CCI; n = 30), or penetrating ballistic-like brain injury (PBBI; n = 36). Efficacy of GLY treatment (10-μg/kg intraperitoneal loading dose at 10 min post-injury, followed by a continuous 7-day subcutaneous infusion [0.2 μg/h]) on motor, cognitive, neuropathological, and biomarker outcomes was assessed across models. GLY improved motor outcome versus vehicle in FPI (cylinder task, p < 0.05) and CCI (beam balance, p < 0.05; beam walk, p < 0.05). In FPI, GLY did not benefit any other outcome, whereas in CCI, it reduced 21-day lesion volume versus vehicle (p < 0.05). On Morris water maze testing in CCI, GLY worsened performance on hidden platform latency testing versus sham (p < 0.05), but not versus TBI vehicle. In PBBI, GLY did not improve any outcome. Blood levels of glial fibrillary acidic protein and ubiquitin carboxyl terminal hydrolase-1 at 24 h did not show significant treatment-induced changes. In summary, GLY showed the greatest benefit in CCI, with positive effects on motor and neuropathological outcomes. GLY is the second-highest-scoring agent overall tested by OBTT and the only drug to reduce lesion volume after CCI. Our findings suggest that leveraging the use of a TBI model-based phenotype to guide treatment (i.e., GLY in contusion) might represent a strategic choice to accelerate drug development in clinical trials and, ultimately, achieve precision medicine in TBI.
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Affiliation(s)
- Ruchira M Jha
- Safar Center for Resuscitation Research, Department of Critical Care Medicine, Anesthesiology, and Clinical and Translational Science, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.,Departments of Neurology, Neurobiology, and Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona, USA
| | | | - Helen M Bramlett
- Department of Neurological Surgery, The Miami Project to Cure Paralysis, Miller School of Medicine, University of Miami, and Bruce W. Carter Department of Veterans Affairs Medical Center, Miami, Florida, USA
| | - C Edward Dixon
- Department of Neurological Surgery, Brain Trauma Research Center, Anesthesiology, and Clinical and Translational Science, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Deborah A Shear
- Brain Trauma Neuroprotection Branch, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, Maryland, USA
| | - W Dalton Dietrich
- Department of Neurological Surgery, Brain Trauma Research Center, Anesthesiology, and Clinical and Translational Science, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Kevin K W Wang
- Program for Neurotrauma, Neuroproteomics & Biomarkers Research, Department of Emergency Medicine, McKnight Brin Institute of the University of Florida, Gainesville, Florida, USA
| | - Zhihui Yang
- Program for Neurotrauma, Neuroproteomics & Biomarkers Research, Department of Emergency Medicine, McKnight Brin Institute of the University of Florida, Gainesville, Florida, USA
| | - Ronald L Hayes
- Center for Innovative Research, Center for Proteomics and Biomarkers Research, Banyan Biomarkers, Inc., Alachua, Florida, USA
| | - Samuel M Poloyac
- Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania, USA
| | - Philip E Empey
- Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania, USA
| | - Audrey D Lafrenaye
- Department of Anatomy and Neurobiology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Hong Q Yan
- Department of Neurological Surgery, Brain Trauma Research Center, Anesthesiology, and Clinical and Translational Science, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Shaun W Carlson
- Department of Neurological Surgery, Brain Trauma Research Center, Anesthesiology, and Clinical and Translational Science, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - John T Povlishock
- Department of Anatomy and Neurobiology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Janice S Gilsdorf
- Brain Trauma Neuroprotection Branch, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, Maryland, USA
| | - Patrick M Kochanek
- Safar Center for Resuscitation Research, Department of Critical Care Medicine, Anesthesiology, and Clinical and Translational Science, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.,Departments of Pediatrics, Anesthesiology, and Clinical and Translational Science, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
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33
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Hirst TC, Klasen MG, Rhodes JK, Macleod MR, Andrews PJD. A Systematic Review and Meta-Analysis of Hypothermia in Experimental Traumatic Brain Injury: Why Have Promising Animal Studies Not Been Replicated in Pragmatic Clinical Trials? J Neurotrauma 2020; 37:2057-2068. [PMID: 32394804 DOI: 10.1089/neu.2019.6923] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Therapeutic hypothermia was a mainstay of severe traumatic brain injury (TBI) management for half a century. Recent trials have suggested that its effect on long-term functional outcome is neutral or negative, despite apparently promising pre-clinical data. Systematic review and meta-analysis is a useful tool to collate experimental data and investigate the basis of its conclusions. We searched three online databases to identify studies testing systemic hypothermia as monotherapy for treatment of animals subjected to a TBI. Data pertaining to TBI paradigm, animal subjects, and hypothermia management were extracted as well as those relating to risk of bias. We pooled outcome data where sufficient numbers allowed and investigated heterogeneity in neurobehavioral outcomes using multi-variate meta-regression. We identified 90 publications reporting 272 experiments testing hypothermia in animals subject to TBI. The subjects were mostly small animals, with well-established models predominating. Target temperature was comparable to clinical trial data but treatment was initiated very early. Study quality was low and there was some evidence of publication bias. Delay to treatment, comorbidity, and blinded outcome assessment appeared to predict neurobehavioral outcome on multi-variate meta-regression. Therapeutic hypothermia appears to be an efficacious treatment in experimental TBI, which differs from the clinical evidence. The pre-clinical literature showed limitations in quality and design and these both appeared to affect neurobehavioral experiment outcome. These should be acknowledged when designing and interpreting pre-clinical TBI studies in the future.
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Affiliation(s)
- Theodore C Hirst
- Centre for Clinical Brain Sciences, Anesthesia and Pain Medicine, University of Edinburgh, Edinburgh, United Kingdom
- Department of Neurosurgery, Royal Victoria Hospital, Belfast, United Kingdom
| | | | - Jonathan K Rhodes
- Department of Critical Care, Anesthesia and Pain Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Malcolm R Macleod
- Centre for Clinical Brain Sciences, Anesthesia and Pain Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Peter J D Andrews
- Centre for Clinical Brain Sciences, Anesthesia and Pain Medicine, University of Edinburgh, Edinburgh, United Kingdom
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34
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Mathieu F, Zeiler FA, Ercole A, Monteiro M, Kamnitsas K, Glocker B, Whitehouse DP, Das T, Smielewski P, Czosnyka M, Hutchinson PJ, Newcombe VF, Menon DK. Relationship between Measures of Cerebrovascular Reactivity and Intracranial Lesion Progression in Acute Traumatic Brain Injury Patients: A CENTER-TBI Study. J Neurotrauma 2020; 37:1556-1565. [PMID: 31928143 PMCID: PMC7307675 DOI: 10.1089/neu.2019.6814] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Failure of cerebral autoregulation has been linked to unfavorable outcome after traumatic brain injury (TBI). Preliminary evidence from a small, retrospective, single-center analysis suggests that autoregulatory dysfunction may be associated with traumatic lesion expansion, particularly for pericontusional edema. The goal of this study was to further explore these associations using prospective, multi-center data from the Collaborative European Neurotrauma Effectiveness Research in TBI (CENTER-TBI) and to further explore the relationship between autoregulatory failure, lesion progression, and patient outcome. A total of 88 subjects from the CENTER-TBI High Resolution ICU Sub-Study cohort were included. All patients had an admission computed tomography (CT) scan and early repeat scan available, as well as high-frequency neurophysiological recordings covering the between-scan interval. Using a novel, semiautomated approach at lesion segmentation, we calculated absolute changes in volume of contusion core, pericontusional edema, and extra-axial hemorrhage between the imaging studies. We then evaluated associations between cerebrovascular reactivity metrics and radiological lesion progression using mixed-model regression. Analyses were adjusted for baseline covariates and non-neurophysiological factors associated with lesion growth using multi-variate methods. Impairment in cerebrovascular reactivity was significantly associated with progression of pericontusional edema and, to a lesser degree, intraparenchymal hemorrhage. In contrast, there were no significant associations with extra-axial hemorrhage. The strongest relationships were observed between RAC-based metrics and edema formation. Pulse amplitude index showed weaker, but consistent, associations with contusion growth. Cerebrovascular reactivity metrics remained strongly associated with lesion progression after taking into account contributions from non-neurophysiological factors and mean cerebral perfusion pressure. Total hemorrhagic core and edema volumes on repeat CT were significantly larger in patients who were deceased at 6 months, and the amount of edema was greater in patients with an unfavourable outcome (Glasgow Outcome Scale-Extended 1-4). Our study suggests associations between autoregulatory failure, traumatic edema progression, and poor outcome. This is in keeping with findings from a single-center retrospective analysis, providing multi-center prospective data to support those results.
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Affiliation(s)
- François Mathieu
- Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada
- Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Frederick A. Zeiler
- Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnibeg, Manitoba, Canada
- Department of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnibeg, Manitoba, Canada
- Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnibeg, Manitoba, Canada
| | - Ari Ercole
- Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom
| | - Miguel Monteiro
- Biomedical Image Analysis Group, Imperial College London, London, United Kingdom
| | | | - Ben Glocker
- Biomedical Image Analysis Group, Imperial College London, London, United Kingdom
| | | | - Tilak Das
- Department of Radiology, Addenbrooke's Hospital, University of Cambridge, Cambridge, Cambridge, United Kingdom
| | - Peter Smielewski
- Brain Physics Laboratory, Division of Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, Cambridge, United Kingdom
- Division of Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, Cambridge, United Kingdom
| | - Marek Czosnyka
- Brain Physics Laboratory, Division of Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, Cambridge, United Kingdom
- Institute of Electronic Systems, Warsaw University of Technology, Warsaw, Poland
| | - Peter J. Hutchinson
- Division of Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, Cambridge, United Kingdom
| | | | - David K. Menon
- Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom
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Alvikas J, Myers SP, Wessel CB, Okonkwo DO, Joseph B, Pelaez C, Dosberstein C, Guillotte AR, Rosengart MR, Neal MD. A systematic review and meta-analysis of traumatic intracranial hemorrhage in patients taking prehospital antiplatelet therapy: Is there a role for platelet transfusions? J Trauma Acute Care Surg 2020; 88:847-854. [PMID: 32118818 PMCID: PMC7431190 DOI: 10.1097/ta.0000000000002640] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
BACKGROUND Platelet transfusion has been utilized to reverse platelet dysfunction in patients on preinjury antiplatelets who have sustained a traumatic intracranial hemorrhage (tICH); however, there is little evidence to substantiate this practice. The objective of this study was to perform a systematic review on the impact of platelet transfusion on survival, hemorrhage progression and need for neurosurgical intervention in patients with tICH on prehospital antiplatelet medication. METHODS Controlled, observational and randomized, prospective and retrospective studies describing tICH, preinjury antiplatelet use, and platelet transfusion reported in PubMed, Embase, Cochrane Reviews, Cochrane Trials and Cochrane DARE databases between January 1987 and March 2019 were included. Investigations of concomitant anticoagulant use were excluded. Risk of bias was assessed using the Newcastle-Ottawa scale. We calculated pooled estimates of relative effect of platelet transfusion on the risk of death, hemorrhage progression and need for neurosurgical intervention using the methods of Dersimonian-Laird random-effects meta-analysis. Sensitivity analysis established whether study size contributed to heterogeneity. Subgroup analyses determined whether antiplatelet type, additional blood products/reversal agents, or platelet function assays impacted effect size using meta-regression. RESULTS Twelve of 18,609 screened references were applicable to our questions and were qualitatively and quantitatively analyzed. We found no association between platelet transfusion and the risk of death in patients with tICH taking prehospital antiplatelets (odds ratio [OR], 1.29; 95% confidence interval [CI], 0.76-2.18; p = 0.346; I = 32.5%). There was no significant reduction in hemorrhage progression (OR, 0.88; 95% CI, 0.34-2.28; p = 0.788; I = 78.1%). There was no significant reduction in the need for neurosurgical intervention (OR, 1.00; 95% CI, 0.53-1.90, p = 0.996; I = 59.1%; p = 0.032). CONCLUSION Current evidence does not support the use of platelet transfusion in patients with tICH on prehospital antiplatelets, highlighting the need for a prospective evaluation of this practice. LEVEL OF EVIDENCE Systematic Reviews and Meta-Analyses, Level III.
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Affiliation(s)
- Jurgis Alvikas
- Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Sara P. Myers
- Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Charles B. Wessel
- University of Pittsburgh Health Sciences Library System, Pittsburgh, PA
| | - David O. Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Bellal Joseph
- Department of Surgery, University of Arizona, Tucson, AZ
| | | | - Cody Dosberstein
- Warren Alpert Medical School of Brown University, Providence, RI
| | - Andrew R. Guillotte
- Division of Neurological Surgery, University of Missouri School of Medicine, Columbia, MO
| | - Matthew R. Rosengart
- Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
- Department of Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Matthew D. Neal
- Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
- Department of Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
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HEMORRHAGIC PROGRESSION OF CONTUSION IN PATIENTS WITH MILD TRAUMATIC BRAIN INJURY ON THE ROUTINE REPEAT HEAD COMPUTED TOMOGRAPHY. EUREKA: HEALTH SCIENCES 2020. [DOI: 10.21303/2504-5679.2020.001283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Computed tomography (CT) scan is a standard for the diagnosis of intracranial pathology after traumatic brain injury (TBI). Hemorrhagic progression of contusion (HPC) is frequently seen on repeat CT, but its clinical and radiological significance in case of mild TBI is not well define.
The aim of the study: to evaluate the result of routine repeat head CT in patients with mild TBI and brain contusions.
Materials and methods: retrospective analysis of management of patients with mild TBI (Glasgow Coma Scale (GCS) score – 13 to 15) and cerebral contusion. All patients were treated at the Kyiv City Clinical Emergency Hospital between 2016 and 2017.
Results: within 202 patients with mild TBI, 87 (43.1 %) met the inclusion criteria and were selected for detailed analysis. There were 69 (79.3 %) men and 18 (20.7 %) women. The mean age of the patients was 43.8±12.7 years (17–82 years). The average time between trauma and CT was 3.3 hours. The average volume of contusion on the initial CT was 1.9±0.6 cm3 (0.2–9.6 cm3). The average time of routine CT was 6.8 hours (range 4–24 hours) after the initial scans. HPC was found in 24 (30.7 %) of 87 cases. The average volume of brain contusion on the repeat CT was 2.3±0.5 cm3 (0.2-17.1 cm3). In 3 (3.4 %) patients the size of the hematoma increased. Clinical deterioration occurred in 10 (11.5 %) patients. Six (6.9 %) patients were operated after a CT scan due to HPC with midline shift in 4 cases and increasing of subdural hematoma – 2 cases. Four of these patients had clinical deterioration, and 2 patients were neurological stable. Patients with HPC at admission had lower points of GCS, fractures of the skull (both p <0.001), subdural blood collection (p=0.002), a higher average duration of treatment 8.1±4.2 vs 14.3±5.2 days (p=0.0001), and mortality rate 0 vs. 3 (12.5 %) (p=0.02).
Conclusions: Routine repeat CT in patients with mild TBI with brain contusions is aimed to find a patients with s high risk for clinical deterioration. One third of patients with mild TBI and brain contusion experienced HPC. Patients with HPC often have unfavorable clinical course with higher average duration of treatment, delay surgical treatment and mortality rate.
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Hanko M, Soršák J, Snopko P, Opšenák R, Zeleňák K, Kolarovszki B. Incidence and risk factors of early postoperative complications in patients after decompressive craniectomy: a 5-year experience. Eur J Trauma Emerg Surg 2020; 47:1635-1647. [PMID: 32307561 DOI: 10.1007/s00068-020-01367-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 04/03/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE Decompressive craniectomy is an effective measure to reduce a pathologically elevated intracranial pressure. Patients' survival and life quality following this surgery have been a subject of several studies and significantly differ according to the primary diagnosis. Since this operation is often associated with a wide spectrum of possibly serious complications, we aimed to describe their incidence and possible associated risk factors. METHODS We evaluated 118 patients who underwent decompressive craniectomy at our clinic during years 2013-2017. The indications included traumatic brain injuries, ischaemic or haemorrhagic strokes and postoperative complications of planned neurosurgical procedures. Subsequently, we assessed the incidence of early postoperative complications (occurring during the first 3 postoperative weeks). The results were statistically analysed with relation to a wide selection of possible risk factors. RESULTS At least one early surgical postoperative complication occurred in 87 (73.73%) patients, the most frequent being a development of an extraaxial fluid collection in 41 (34.75%) patients. We were able to identify risk factors linked with extraaxial fluid collections, subcutaneous and extradural haematomas, postoperative seizures and meningitis. An overall need for reoperation was 13.56%. Neither the duration of the surgery nor the qualification of the operating surgeon had any effect on the complications' occurrence. CONCLUSIONS Decompressive craniectomy is associated with numerous early postoperative complications with a various degree of severity. Most cases of complications can, however, be managed in a conservative way. The risk factors linked with postoperative complications should be taken into account during the indication process in each individual patient.
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Affiliation(s)
- Martin Hanko
- Clinic of Neurosurgery, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital in Martin, Kollárova 2, Martin, 036 59, Slovak Republic
| | - Jakub Soršák
- Clinic of Radiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital in Martin, Kollárova 2, Martin, 036 59, Slovak Republic
| | - Pavol Snopko
- Clinic of Neurosurgery, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital in Martin, Kollárova 2, Martin, 036 59, Slovak Republic
| | - René Opšenák
- Clinic of Neurosurgery, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital in Martin, Kollárova 2, Martin, 036 59, Slovak Republic
| | - Kamil Zeleňák
- Clinic of Radiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital in Martin, Kollárova 2, Martin, 036 59, Slovak Republic
| | - Branislav Kolarovszki
- Clinic of Neurosurgery, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital in Martin, Kollárova 2, Martin, 036 59, Slovak Republic.
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Mathieu F, Zeiler FA, Whitehouse DP, Das T, Ercole A, Smielewski P, Hutchinson PJ, Czosnyka M, Newcombe VFJ, Menon DK. Relationship Between Measures of Cerebrovascular Reactivity and Intracranial Lesion Progression in Acute TBI Patients: an Exploratory Analysis. Neurocrit Care 2020; 32:373-382. [PMID: 31797278 PMCID: PMC7082305 DOI: 10.1007/s12028-019-00885-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND Failure of cerebral autoregulation and progression of intracranial lesion have both been shown to contribute to poor outcome in patients with acute traumatic brain injury (TBI), but the interplay between the two phenomena has not been investigated. Preliminary evidence leads us to hypothesize that brain tissue adjacent to primary injury foci may be more vulnerable to large fluctuations in blood flow in the absence of intact autoregulatory mechanisms. The goal of this study was therefore to assess the influence of cerebrovascular reactivity measures on radiological lesion expansion in a cohort of patients with acute TBI. METHODS We conducted a retrospective cohort analysis on 50 TBI patients who had undergone high-frequency multimodal intracranial monitoring and for which at least two brain computed tomography (CT) scans had been performed in the acute phase of injury. We first performed univariate analyses on the full cohort to identify non-neurophysiological factors (i.e., initial lesion volume, timing of scan, coagulopathy) associated with traumatic lesion growth in this population. In a subset analysis of 23 patients who had intracranial recording data covering the period between the initial and repeat CT scan, we then correlated changes in serial volumetric lesion measurements with cerebrovascular reactivity metrics derived from the pressure reactivity index (PRx), pulse amplitude index (PAx), and RAC (correlation coefficient between the pulse amplitude of intracranial pressure and cerebral perfusion pressure). Using multivariate methods, these results were subsequently adjusted for the non-neurophysiological confounders identified in the univariate analyses. RESULTS We observed significant positive linear associations between the degree of cerebrovascular reactivity impairment and progression of pericontusional edema. The strongest correlations were observed between edema progression and the following indices of cerebrovascular reactivity between sequential scans: % time PRx > 0.25 (r = 0.69, p = 0.002) and % time PAx > 0.25 (r = 0.64, p = 0.006). These associations remained significant after adjusting for initial lesion volume and mean cerebral perfusion pressure. In contrast, progression of the hemorrhagic core and extra-axial hemorrhage volume did not appear to be strongly influenced by autoregulatory status. CONCLUSIONS Our preliminary findings suggest a possible link between autoregulatory failure and traumatic edema progression, which warrants re-evaluation in larger-scale prospective studies.
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Affiliation(s)
- François Mathieu
- Division of Neurosurgery, University of Toronto, Toronto, Canada.
- Division of Anaesthesia, Addenbrooke's Hospital, University of Cambridge, Hills Road, Box 93, Cambridge, CB2 0QQ, UK.
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
| | - Frederick A Zeiler
- Division of Anaesthesia, Addenbrooke's Hospital, University of Cambridge, Hills Road, Box 93, Cambridge, CB2 0QQ, UK
- Section of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
- Department of Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
- Biomedical Engineering, Faculty of Engineering, University of Manitoba, Winnipeg, Canada
| | - Daniel P Whitehouse
- Division of Anaesthesia, Addenbrooke's Hospital, University of Cambridge, Hills Road, Box 93, Cambridge, CB2 0QQ, UK
| | - Tilak Das
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospital NHS Foundation Trust, Addenbrooke's Hospital, Hills Road, Box 218, Cambridge, CB2 0QQ, UK
| | - Ari Ercole
- Division of Anaesthesia, Addenbrooke's Hospital, University of Cambridge, Hills Road, Box 93, Cambridge, CB2 0QQ, UK
| | - Peter Smielewski
- Brain Physics Laboratory, Division of Neurosurgery, Addenbrooke's Hospital, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK
| | - Peter J Hutchinson
- Brain Physics LaboratoryDivision of Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Hills Road, Box 167, Cambridge, CB2 0QQ, UK
| | - Marek Czosnyka
- Brain Physics Laboratory, Division of Neurosurgery, Addenbrooke's Hospital, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK
- Institute of Electronic Systems, Warsaw University of Technology, Warsaw, Poland
| | - Virginia F J Newcombe
- Division of Anaesthesia, Addenbrooke's Hospital, University of Cambridge, Hills Road, Box 93, Cambridge, CB2 0QQ, UK
| | - David K Menon
- Division of Anaesthesia, Addenbrooke's Hospital, University of Cambridge, Hills Road, Box 93, Cambridge, CB2 0QQ, UK
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Jha RM, Bell J, Citerio G, Hemphill JC, Kimberly WT, Narayan RK, Sahuquillo J, Sheth KN, Simard JM. Role of Sulfonylurea Receptor 1 and Glibenclamide in Traumatic Brain Injury: A Review of the Evidence. Int J Mol Sci 2020; 21:E409. [PMID: 31936452 PMCID: PMC7013742 DOI: 10.3390/ijms21020409] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Revised: 12/28/2019] [Accepted: 01/03/2020] [Indexed: 02/07/2023] Open
Abstract
Cerebral edema and contusion expansion are major determinants of morbidity and mortality after TBI. Current treatment options are reactive, suboptimal and associated with significant side effects. First discovered in models of focal cerebral ischemia, there is increasing evidence that the sulfonylurea receptor 1 (SUR1)-Transient receptor potential melastatin 4 (TRPM4) channel plays a key role in these critical secondary injury processes after TBI. Targeted SUR1-TRPM4 channel inhibition with glibenclamide has been shown to reduce edema and progression of hemorrhage, particularly in preclinical models of contusional TBI. Results from small clinical trials evaluating glibenclamide in TBI have been encouraging. A Phase-2 study evaluating the safety and efficacy of intravenous glibenclamide (BIIB093) in brain contusion is actively enrolling subjects. In this comprehensive narrative review, we summarize the molecular basis of SUR1-TRPM4 related pathology and discuss TBI-specific expression patterns, biomarker potential, genetic variation, preclinical experiments, and clinical studies evaluating the utility of treatment with glibenclamide in this disease.
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Affiliation(s)
- Ruchira M. Jha
- Departments of Critical Care Medicine, Neurology, Neurological Surgery, Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA 15201, USA
| | | | - Giuseppe Citerio
- School of Medicine and Surgery, University of Milan-Bicocca, 20121 Milan, Italy;
- Anaesthesia and Intensive Care, San Gerardo and Desio Hospitals, ASST-Monza, 20900 Monza, Italy
| | - J. Claude Hemphill
- Department of Neurology, University of California, San Francisco, CA 94110, USA;
| | - W. Taylor Kimberly
- Division of Neurocritical Care and Center for Genomic Medicine, Department of Neurology, Massachusetts General Hospital, Boston, MA 02108, USA;
| | - Raj K. Narayan
- Department of Neurosurgery, North Shore University Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY 11030, USA;
| | - Juan Sahuquillo
- Neurotrauma and Neurosurgery Research Unit (UNINN), Vall d′Hebron Research Institute (VHIR), 08001 Barcelona, Spain;
- Department of Neurosurgery, Universitat Autònoma de Barcelona (UAB), 08001 Barcelona, Spain
- Department of Neurosurgery, Vall d′Hebron University Hospital, 08001 Barcelona, Spain
| | - Kevin N. Sheth
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale University School of Medicine, New Haven, CT 06501, USA;
| | - J. Marc Simard
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD 21201, USA
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Talbott JF, Hess CP. Is Dual-Energy CT Ready for Prime Time in Traumatic Brain Injury? Radiology 2019; 292:739-740. [DOI: 10.1148/radiol.2019191528] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Jason F. Talbott
- From the Department of Radiology and Biomedical Imaging (J.F.T., C.P.H.), Brain and Spinal Injury Center (J.F.T.), and Department of Neurology (C.P.H.), University of California, San Francisco, 505 Parnassus Ave, M392, San Francisco, CA 94143; and Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, Calif (J.F.T.)
| | - Christopher P. Hess
- From the Department of Radiology and Biomedical Imaging (J.F.T., C.P.H.), Brain and Spinal Injury Center (J.F.T.), and Department of Neurology (C.P.H.), University of California, San Francisco, 505 Parnassus Ave, M392, San Francisco, CA 94143; and Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, Calif (J.F.T.)
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Eisenberg HM, Shenton ME, Pasternak O, Simard JM, Okonkwo DO, Aldrich C, He F, Jain S, Hayman EG. Magnetic Resonance Imaging Pilot Study of Intravenous Glyburide in Traumatic Brain Injury. J Neurotrauma 2019; 37:185-193. [PMID: 31354055 PMCID: PMC6921286 DOI: 10.1089/neu.2019.6538] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Pre-clinical studies of traumatic brain injury (TBI) show that glyburide reduces edema and hemorrhagic progression of contusions. We conducted a small Phase II, three-institution, randomized placebo-controlled trial of subjects with TBI to assess the safety and efficacy of intravenous (IV) glyburide. Twenty-eight subjects were randomized and underwent a 72-h infusion of IV glyburide or placebo, beginning within 10 h of trauma. Of the 28 subjects, 25 had Glasgow Coma Scale (GCS) scores of 6-10, and 14 had contusions. There were no differences in adverse events (AEs) or severe adverse events (ASEs) between groups. The magnetic resonance imaging (MRI) percent change at 72-168 h from screening/baseline was compared between the glyburide and placebo groups. Analysis of contusions (7 per group) showed that lesion volumes (hemorrhage plus edema) increased 1036% with placebo versus 136% with glyburide (p = 0.15), and that hemorrhage volumes increased 11.6% with placebo but decreased 29.6% with glyburide (p = 0.62). Three diffusion MRI measures of edema were quantified: mean diffusivity (MD), free water (FW), and tissue MD (MDt), corresponding to overall, extracellular, and intracellular water, respectively. The percent change with time for each measure was compared in lesions (n = 14) versus uninjured white matter (n = 24) in subjects receiving placebo (n = 20) or glyburide (n = 18). For placebo, the percent change in lesions for all three measures was significantly different compared with uninjured white matter (analysis of variance [ANOVA], p < 0.02), consistent with worsening of edema in untreated contusions. In contrast, for glyburide, the percent change in lesions for all three measures was not significantly different compared with uninjured white matter. Further study of IV glyburide in contusion TBI is warranted.
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Affiliation(s)
- Howard M Eisenberg
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Martha E Shenton
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Department of Research and Development, VA Boston Healthcare System, Brockton Division, Brockton, Massachusetts
| | - Ofer Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - J Marc Simard
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Christina Aldrich
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Feng He
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California
| | - Sonia Jain
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California
| | - Erik G Hayman
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
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Stolla M, Zhang F, Meyer MR, Zhang J, Dong JF. Current state of transfusion in traumatic brain injury and associated coagulopathy. Transfusion 2019; 59:1522-1528. [PMID: 30980753 DOI: 10.1111/trf.15169] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Revised: 11/10/2018] [Accepted: 11/17/2018] [Indexed: 12/15/2022]
Abstract
Traumatic brain injury (TBI)-induced coagulopathy has long been recognized as a significant risk for poor outcomes in patients with TBI, but its pathogenesis remains poorly understood. As a result, current treatment options for the condition are limited and ineffective. The lack of information is most significant for the impact of blood transfusions on patients with isolated TBI and in the absence of confounding influences from trauma to the body and limbs and the resultant hemorrhagic shock. Here we discuss recent progress in understanding the pathogenesis of TBI-induced coagulopathy and the current state of blood transfusions for patients with TBI and associated coagulopathy.
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Affiliation(s)
- Moritz Stolla
- Bloodworks Research Institute, Seattle, Washington.,Division of Hematology, Department of Medicine, University of Washington, School of Medicine, Seattle, Washington
| | - Fangyi Zhang
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, Washington
| | - Michael R Meyer
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, Washington
| | - Jianning Zhang
- Tianjin Institute of Neurology, Tianjin, China.,Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Jing-Fei Dong
- Bloodworks Research Institute, Seattle, Washington.,Division of Hematology, Department of Medicine, University of Washington, School of Medicine, Seattle, Washington
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Rehman L, Afzal A, Aziz HF, Akbar S, Abbas A, Rizvi R. Radiological Parameters to Predict Hemorrhagic Progression of Traumatic Contusional Brain Injury. J Neurosci Rural Pract 2019; 10:212-217. [PMID: 31001007 PMCID: PMC6454978 DOI: 10.4103/jnrp.jnrp_335_18] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Introduction Traumatic intracerebral contusion is a frequent factor culminating in death and disability, and its progression relates to unfavorable outcome. We evaluated the radiological factors associated with hemorrhagic progression of contusions (HPC). Materials and Methods Two hundred and forty-six patients were enrolled in this prospective cohort over a period of 1 year. Contusion volume was quantified using the "ABC/2" technique, whereas progression was considered as >30% increase in the initial volume. Univariate and multivariate statistics were used to examine the correlation between the risk factors of interest and HPC. Results HPC was seen in 110 (44.7%) patients. Binary logistic regression showed in the final adjusted model that multiplicity (relative risk [RR]: 2.24, 95% confidence limit [CL]: 1.00-5.48), bilateral lesions (RR: 2.99, 95% CL: 1.08-8.25), initial volume of contusion (RR: 4.96, 95% CL: 1.87-13.13), frontal location (RR: 1.42, 95% CL: 1.08-3.56), and presence of concomitant intracranial hematoma (extradural-RR: 3.90, 95% CL: 1.51-10.01, subdural-RR: 2.91, 95% CL: 1.26-6.69, and subarachnoid-RR: 2.27, 95% CL: 1.01-5.80) were significantly associated with HPC. The overall mortality was 18.7% and was almost equal among patients with and without HPC. Mortality was significantly associated with Glasgow Coma Scale on admission (adjusted RR: 12.386, 95% CL: 4.789-32.035) and presence of comorbid conditions (adjusted RR: 0.313, 95% CL: 0.114-0.860). Conclusion Initial computed tomography scan is a good predictor of high-risk group for HPC.
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Affiliation(s)
- Lal Rehman
- Department of Neurosurgery, Jinnah Postgraduate Medical Centre, Karachi, Pakistan
| | - Ali Afzal
- Department of Neurosurgery, Jinnah Postgraduate Medical Centre, Karachi, Pakistan
| | - Hafiza Fatima Aziz
- Department of Neurosurgery, Jinnah Postgraduate Medical Centre, Karachi, Pakistan
| | - Sana Akbar
- Department of Neurosurgery, Jinnah Postgraduate Medical Centre, Karachi, Pakistan
| | - Asad Abbas
- Department of Neurosurgery, Jinnah Postgraduate Medical Centre, Karachi, Pakistan
| | - Raza Rizvi
- Department of Neurosurgery, Jinnah Postgraduate Medical Centre, Karachi, Pakistan
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Spahn DR, Bouillon B, Cerny V, Duranteau J, Filipescu D, Hunt BJ, Komadina R, Maegele M, Nardi G, Riddez L, Samama CM, Vincent JL, Rossaint R. The European guideline on management of major bleeding and coagulopathy following trauma: fifth edition. Crit Care 2019; 23:98. [PMID: 30917843 PMCID: PMC6436241 DOI: 10.1186/s13054-019-2347-3] [Citation(s) in RCA: 688] [Impact Index Per Article: 137.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Accepted: 02/06/2019] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Severe traumatic injury continues to present challenges to healthcare systems around the world, and post-traumatic bleeding remains a leading cause of potentially preventable death among injured patients. Now in its fifth edition, this document aims to provide guidance on the management of major bleeding and coagulopathy following traumatic injury and encourages adaptation of the guiding principles described here to individual institutional circumstances and resources. METHODS The pan-European, multidisciplinary Task Force for Advanced Bleeding Care in Trauma was founded in 2004, and the current author group included representatives of six relevant European professional societies. The group applied a structured, evidence-based consensus approach to address scientific queries that served as the basis for each recommendation and supporting rationale. Expert opinion and current clinical practice were also considered, particularly in areas in which randomised clinical trials have not or cannot be performed. Existing recommendations were re-examined and revised based on scientific evidence that has emerged since the previous edition and observed shifts in clinical practice. New recommendations were formulated to reflect current clinical concerns and areas in which new research data have been generated. RESULTS Advances in our understanding of the pathophysiology of post-traumatic coagulopathy have supported improved management strategies, including evidence that early, individualised goal-directed treatment improves the outcome of severely injured patients. The overall organisation of the current guideline has been designed to reflect the clinical decision-making process along the patient pathway in an approximate temporal sequence. Recommendations are grouped behind the rationale for key decision points, which are patient- or problem-oriented rather than related to specific treatment modalities. While these recommendations provide guidance for the diagnosis and treatment of major bleeding and coagulopathy, emerging evidence supports the author group's belief that the greatest outcome improvement can be achieved through education and the establishment of and adherence to local clinical management algorithms. CONCLUSIONS A multidisciplinary approach and adherence to evidence-based guidance are key to improving patient outcomes. If incorporated into local practice, these clinical practice guidelines have the potential to ensure a uniform standard of care across Europe and beyond and better outcomes for the severely bleeding trauma patient.
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Affiliation(s)
- Donat R. Spahn
- Institute of Anaesthesiology, University of Zurich and University Hospital Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland
| | - Bertil Bouillon
- Department of Trauma and Orthopaedic Surgery, Cologne-Merheim Medical Centre (CMMC), University of Witten/Herdecke, Ostmerheimer Strasse 200, D-51109 Cologne, Germany
| | - Vladimir Cerny
- Department of Anaesthesiology, Perioperative Medicine and Intensive Care, J.E. Purkinje University, Masaryk Hospital, Usti nad Labem, Socialni pece 3316/12A, CZ-40113 Usti nad Labem, Czech Republic
- Centre for Research and Development, University Hospital Hradec Kralove, Hradec Kralove, Czech Republic, Sokolska 581, CZ-50005 Hradec Kralove, Czech Republic
- Department of Anaesthesiology and Intensive Care Medicine, Faculty of Medicine in Hradec Kralove, Charles University, Simkova 870, CZ-50003 Hradec Kralove, Czech Republic
- Department of Anaesthesia, Pain Management and Perioperative Medicine, QE II Health Sciences Centre, Dalhousie University, Halifax, 10 West Victoria, 1276 South Park St, Halifax, NS B3H 2Y9 Canada
| | - Jacques Duranteau
- Department of Anaesthesia and Intensive Care, Hôpitaux Universitaires Paris Sud, University of Paris XI, Faculté de Médecine Paris-Sud, 78 rue du Général Leclerc, F-94275 Le Kremlin-Bicêtre Cedex, France
| | - Daniela Filipescu
- Department of Cardiac Anaesthesia and Intensive Care, C. C. Iliescu Emergency Institute of Cardiovascular Diseases, Sos Fundeni 256-258, RO-022328 Bucharest, Romania
| | - Beverley J. Hunt
- King’s College and Departments of Haematology and Pathology, Guy’s and St Thomas’ NHS Foundation Trust, Westminster Bridge Road, London, SE1 7EH UK
| | - Radko Komadina
- Department of Traumatology, General and Teaching Hospital Celje, Medical Faculty Ljubljana University, SI-3000 Celje, Slovenia
| | - Marc Maegele
- Department of Trauma and Orthopaedic Surgery, Cologne-Merheim Medical Centre (CMMC), Institute for Research in Operative Medicine (IFOM), University of Witten/Herdecke, Ostmerheimer Strasse 200, D-51109 Cologne, Germany
| | - Giuseppe Nardi
- Department of Anaesthesia and ICU, AUSL della Romagna, Infermi Hospital Rimini, Viale Settembrini, 2, I-47924 Rimini, Italy
| | - Louis Riddez
- Department of Surgery and Trauma, Karolinska University Hospital, S-171 76 Solna, Sweden
| | - Charles-Marc Samama
- Hotel-Dieu University Hospital, 1, place du Parvis de Notre-Dame, F-75181 Paris Cedex 04, France
| | - Jean-Louis Vincent
- Department of Intensive Care, Erasme University Hospital, Université Libre de Bruxelles, Route de Lennik 808, B-1070 Brussels, Belgium
| | - Rolf Rossaint
- Department of Anaesthesiology, University Hospital Aachen, RWTH Aachen University, Pauwelsstrasse 30, D-52074 Aachen, Germany
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Wiegele M, Schöchl H, Haushofer A, Ortler M, Leitgeb J, Kwasny O, Beer R, Ay C, Schaden E. Diagnostic and therapeutic approach in adult patients with traumatic brain injury receiving oral anticoagulant therapy: an Austrian interdisciplinary consensus statement. Crit Care 2019; 23:62. [PMID: 30795779 PMCID: PMC6387521 DOI: 10.1186/s13054-019-2352-6] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2018] [Accepted: 02/10/2019] [Indexed: 12/11/2022] Open
Abstract
There is a high degree of uncertainty regarding optimum care of patients with potential or known intake of oral anticoagulants and traumatic brain injury (TBI). Anticoagulation therapy aggravates the risk of intracerebral hemorrhage but, on the other hand, patients take anticoagulants because of an underlying prothrombotic risk, and this could be increased following trauma. Treatment decisions must be taken with due consideration of both these risks. An interdisciplinary group of Austrian experts was convened to develop recommendations for best clinical practice. The aim was to provide pragmatic, clear, and easy-to-follow clinical guidance for coagulation management in adult patients with TBI and potential or known intake of platelet inhibitors, vitamin K antagonists, or non-vitamin K antagonist oral anticoagulants. Diagnosis, coagulation testing, and reversal of anticoagulation were considered as key steps upon presentation. Post-trauma management (prophylaxis for thromboembolism and resumption of long-term anticoagulation therapy) was also explored. The lack of robust evidence on which to base treatment recommendations highlights the need for randomized controlled trials in this setting.
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Affiliation(s)
- Marion Wiegele
- Department of Anaesthesia, Critical Care and Pain Medicine, Division of General Anaesthesia and Intensive Care Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Herbert Schöchl
- Department of Anaesthesiology and Intensive Care Medicine, AUVA Trauma Centre Salzburg, Academic Teaching Hospital of the Paracelsus Medical University, Dr. Franz Rehrl Platz 5, 5020 Salzburg, Austria
- Ludwig Boltzmann Institute for Experimental and Clinical Traumatology, AUVA Research Centre, Vienna, Austria
| | - Alexander Haushofer
- Central Laboratory, Klinikum Wels-Grieskirchen, Grieskirchner Str. 42, 4600 Wels, Austria
| | - Martin Ortler
- Department of Neurosurgery, Krankenhaus Rudolfstiftung, Juchgasse 25, 1030 Vienna, Austria
- Department of Neurosurgery, Medical University of Innsbruck, Innrain 52, Christoph-Probst-Platz, 6020 Innsbruck, Austria
| | - Johannes Leitgeb
- University Departments of Orthopaedics and Trauma Surgery, Division of Trauma Surgery, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Oskar Kwasny
- Department for Surgery and Sports Traumatology, Kepler University Hospital–Med Campus III, Krankenhausstraße 9, 4020 Linz, Austria
| | - Ronny Beer
- Neurocritical Care, Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria
| | - Cihan Ay
- Department of Medicine I, Clinical Division of Haematology and Haemostaseology, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Eva Schaden
- Department of Anaesthesia, Critical Care and Pain Medicine, Division of General Anaesthesia and Intensive Care Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
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Nasi D, di Somma L, Gladi M, Moriconi E, Scerrati M, Iacoangeli M, Dobran M. New or Blossoming Hemorrhagic Contusions After Decompressive Craniectomy in Traumatic Brain Injury: Analysis of Risk Factors. Front Neurol 2019; 9:1186. [PMID: 30697186 PMCID: PMC6340989 DOI: 10.3389/fneur.2018.01186] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 12/24/2018] [Indexed: 01/02/2023] Open
Abstract
Background: The development or expansion of a cerebral hemorrhagic contusion after decompressive craniectomy (DC) for traumatic brain injury (TBI) occurs commonly and it can result in an unfavorable outcome. However, risk factors predicting contusion expansion after DC are still uncertain. The aim of this study was to identify the factors associated with the growth or expansion of hemorrhagic contusion after DC in TBI. Then we evaluated the impact of contusion progression on outcome. Methods: We collected the data of patients treated with DC for TBI in our Center. Then we analyzed the risk factors associated with the growth or expansion of a hemorrhagic contusion after DC. Results: 182 patients (149 males and 41 females) were included in this study. Hemorrhagic contusions were detected on the initial CT scan or in the last CT scan before surgery in 103 out of 182 patients. New or blossoming hemorrhagic contusions were registered after DC in 47 patients out of 182 (25.82%). At multivariate analysis, only the presence of an acute subdural hematoma (p = 0.0076) and a total volume of contusions >20 cc before DC (p = < 0.0001) were significantly associated with blossoming contusions. The total volume of contusions before DC resulted to have higher accuracy and ability to predict postoperative blossoming of contusion with strong statistical significance rather than the presence of acute subdural hematoma (these risk factors presented respectively an area under the curve [AUC] of 0.896 vs. 0.595; P < 0.001). Patients with blossoming contusions presented an unfavorable outcome compared to patients without contusion progression (p < 0.0185). Conclusions: The presence of an acute subdural hematoma was associated with an increasing rate of new or expanded hemorrhagic contusions after DC. The total volume of hemorrhagic contusions > 20 cc before surgery was an independent and extremely accurate predictive radiological sign of contusion blossoming in decompressed patients for severe TBI. After DC, the patients who develop new or expanding contusions presented an increased risk for unfavorable outcome.
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Affiliation(s)
- Davide Nasi
- Department of Neurosurgery, Umberto I General Hospital, Università Politecnica delle Marche, Ancona, Italy
| | - Lucia di Somma
- Department of Neurosurgery, Umberto I General Hospital, Università Politecnica delle Marche, Ancona, Italy
| | - Maurizio Gladi
- Department of Neurosurgery, Umberto I General Hospital, Università Politecnica delle Marche, Ancona, Italy
| | - Elisa Moriconi
- Department of Neurosurgery, Umberto I General Hospital, Università Politecnica delle Marche, Ancona, Italy
| | - Massimo Scerrati
- Department of Neurosurgery, Umberto I General Hospital, Università Politecnica delle Marche, Ancona, Italy
| | - Maurizio Iacoangeli
- Department of Neurosurgery, Umberto I General Hospital, Università Politecnica delle Marche, Ancona, Italy
| | - Mauro Dobran
- Department of Neurosurgery, Umberto I General Hospital, Università Politecnica delle Marche, Ancona, Italy
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Gopalakrishnan MS, Shanbhag NC, Shukla DP, Konar SK, Bhat DI, Devi BI. Complications of Decompressive Craniectomy. Front Neurol 2018; 9:977. [PMID: 30524359 PMCID: PMC6256258 DOI: 10.3389/fneur.2018.00977] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 10/30/2018] [Indexed: 11/13/2022] Open
Abstract
Decompressive craniectomy (DC) has become the definitive surgical procedure to manage medically intractable rise in intracranial pressure due to stroke and traumatic brain injury. With incoming evidence from recent multi-centric randomized controlled trials to support its use, we could expect a significant rise in the number of patients who undergo this procedure. Although one would argue that the procedure reduces mortality only at the expense of increasing the proportion of the severely disabled, what is not contested is that patients face the risk of a large number of complications after the operation and that can further compromise the quality of life. Decompressive craniectomy (DC), which is designed to overcome the space constraints of the Monro Kellie doctrine, perturbs the cerebral blood, and CSF flow dynamics. Resultant complications occur days to months after the surgical procedure in a time pattern that can be anticipated with advantage in managing them. New or expanding hematomas that occur within the first few days can be life-threatening and we recommend CT scans at 24 and 48 h postoperatively to detect them. Surgeons should also be mindful of the myriad manifestations of peculiar complications like the syndrome of the trephined and neurological deterioration due to paradoxical herniation which may occur many months after the decompression. A sufficiently large frontotemporoparietal craniectomy, 15 cm in diameter, increases the effectiveness of the procedure and reduces chances of external cerebral herniation. An early cranioplasty, as soon as the brain is lax, appears to be a reasonable choice to mitigate many of the late complications. Complications, their causes, consequences, and measures to manage them are described in this chapter.
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Affiliation(s)
- M S Gopalakrishnan
- Department of Neurosurgery, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Nagesh C Shanbhag
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Dhaval P Shukla
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Subhas K Konar
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Dhananjaya I Bhat
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - B Indira Devi
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, India.,NIHR Global Health Research Group on Neurotrauma, University of Cambridge, Cambridge, United Kingdom
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Gerzanich V, Stokum JA, Ivanova S, Woo SK, Tsymbalyuk O, Sharma A, Akkentli F, Imran Z, Aarabi B, Sahuquillo J, Simard JM. Sulfonylurea Receptor 1, Transient Receptor Potential Cation Channel Subfamily M Member 4, and KIR6.2:Role in Hemorrhagic Progression of Contusion. J Neurotrauma 2018; 36:1060-1079. [PMID: 30160201 PMCID: PMC6446209 DOI: 10.1089/neu.2018.5986] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
In severe traumatic brain injury (TBI), contusions often are worsened by contusion expansion or hemorrhagic progression of contusion (HPC), which may double the original contusion volume and worsen outcome. In humans and rodents with contusion-TBI, sulfonylurea receptor 1 (SUR1) is upregulated in microvessels and astrocytes, and in rodent models, blockade of SUR1 with glibenclamide reduces HPC. SUR1 does not function by itself, but must co-assemble with either KIR6.2 or transient receptor potential cation channel subfamily M member 4 (TRPM4) to form KATP (SUR1-KIR6.2) or SUR1-TRPM4 channels, with the two having opposite effects on membrane potential. Both KIR6.2 and TRPM4 are reportedly upregulated in TBI, especially in astrocytes, but the identity and function of SUR1-regulated channels post-TBI is unknown. Here, we analyzed human and rat brain tissues after contusion-TBI to characterize SUR1, TRPM4, and KIR6.2 expression, and in the rat model, to examine the effects on HPC of inhibiting expression of the three subunits using intravenous antisense oligodeoxynucleotides (AS-ODN). Glial fibrillary acidic protein (GFAP) immunoreactivity was used to operationally define core versus penumbral tissues. In humans and rats, GFAP-negative core tissues contained microvessels that expressed SUR1 and TRPM4, whereas GFAP-positive penumbral tissues contained astrocytes that expressed all three subunits. Förster resonance energy transfer imaging demonstrated SUR1-TRPM4 heteromers in endothelium, and SUR1-TRPM4 and SUR1-KIR6.2 heteromers in astrocytes. In rats, glibenclamide as well as AS-ODN targeting SUR1 and TRPM4, but not KIR6.2, reduced HPC at 24 h post-TBI. Our findings demonstrate upregulation of SUR1-TRPM4 and KATP after contusion-TBI, identify SUR1-TRPM4 as the primary molecular mechanism that accounts for HPC, and indicate that SUR1-TRPM4 is a crucial target of glibenclamide.
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Affiliation(s)
- Volodymyr Gerzanich
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Jesse A Stokum
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Svetlana Ivanova
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Seung Kyoon Woo
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Orest Tsymbalyuk
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Amit Sharma
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Fatih Akkentli
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Ziyan Imran
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Bizhan Aarabi
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland
| | - Juan Sahuquillo
- 2 Neurotraumatology and Neurosurgery Research Unit, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain.,3 Department of Neurosurgery, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - J Marc Simard
- 1 Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland.,4 Department of Pathology, University of Maryland School of Medicine, Baltimore, Maryland.,5 Department of Physiology, University of Maryland School of Medicine, Baltimore, Maryland
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