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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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Teshita G, Wondafrash M, G/Egziabher B, Getachew B, Bergene E. Clinical characteristics and functional outcome of surgically treated adult head trauma patients with acute subdural hematoma: Ethiopian tertiary hospitals experience. World Neurosurg X 2024; 21:100264. [PMID: 38260115 PMCID: PMC10801322 DOI: 10.1016/j.wnsx.2023.100264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 10/29/2023] [Accepted: 11/28/2023] [Indexed: 01/24/2024] Open
Abstract
Background Acute subdural hematoma (ASDH) is one of the most common and devastating lesions in traumatic brain injury with a mortality rate upto 60 % especially in low-income countries. The present study aimed to determine the clinical characteristics and functional outcomes and the associated factors of surgically treated head trauma patients with ASDH. Methods Between January 2018 and January 2021 we identified 140 head trauma patients with ASDH who underwent surgical evacuation in three tertiary hospitals. Epidemiological data were collected; the six-month functional outcome was studied using an extended Glasgow outcome score (EGOS) and associated factors were also studied. Univariate analysis was performed at first, and variables with a P-value of <0.05 were entered into the multivariable logistic regression model. Results Male predominance was seen accounting for 87 % and assault was the most common mechanism of injury (35.7 %). Sixty-five (56.5 %) of patients achieved favorable functional recovery (EGOS of 5-8) and 50 (43.5 %) of patients had unfavorable recovery (EGOS of 1-4) after 6 months of follow-up. In multivariate logistic regression models, GCS <5, Pupillary abnormality, hypotension, oxygen saturation <90 at presentation, and hospital-acquired pneumonia were the independent factors associated with unfavorable functional outcomes. Conclusion In our setup, most of the patients are male from assault injuries. There is still a high rate of unfavorable outcomes in patients with acute subdural hematoma. GCS <5, pupillary abnormality, hypotension and desaturation at presentation, and postoperative hospital-acquired infection are predictors for unfavorable functional outcomes.
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Affiliation(s)
- Gemechu Teshita
- Department of Neurosurgery, Minilik Referral Hospital, Addis Ababa, Ethiopia
| | - Mulualem Wondafrash
- Department of Neurosurgery, Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Biniam G/Egziabher
- Department of Neurosurgery, Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Biruk Getachew
- Department of Neurosurgery, Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
| | - Eyerusalem Bergene
- Department of Neurosurgery, Saint Paul's Millennium Medical College, Addis Ababa, Ethiopia
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Li Z, Feng Y, Wang P, Han S, Zhang K, Zhang C, Lu S, Lv C, Zhu F, Bie L. Evaluation of the prognosis of acute subdural hematoma according to the density differences between gray and white matter. Front Neurol 2023; 13:1024018. [PMID: 36686517 PMCID: PMC9853902 DOI: 10.3389/fneur.2022.1024018] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Accepted: 11/21/2022] [Indexed: 01/07/2023] Open
Abstract
Objective Acute subdural hematoma (ASDH) is a common neurological emergency, and its appearance on head-computed tomographic (CT) imaging helps guide clinical treatment. To provide a basis for clinical decision-making, we analyzed that the density difference between the gray and white matter of the CT image is associated with the prognosis of patients with ASDH. Methods We analyzed the data of 194 patients who had ASDH as a result of closed traumatic brain injury (TBI) between 2018 and 2021. The patients were subdivided into surgical and non-surgical groups, and the non-surgical group was further subdivided into "diffused [hematoma]" and "non-diffused" groups. The control group's CT scans were normal. The 3D Slicer software was used to quantitatively analyze the density of gray and white matter depicted in the CT images. Results Imaging evaluation showed that the median difference in density between the gray and white matter on the injured side was 4.12 HU (IQR, 3.91-4.22 HU; p < 0.001) and on the non-injured side was 4.07 HU (IQR, 3.90-4.19 HU; p < 0.001), and the hematoma needs to be surgically removed. The median density difference value of the gray and white matter on the injured side was 3.74 HU (IQR, 3.53-4.01 HU; p < 0.001) and on the non-injured side was 3.71 HU (IQR, 3.69-3.73 HU; p < 0.001), and the hematoma could diffuse in a short time. Conclusion Quantitative analysis of the density differences in the gray and white matter of the CT images can be used to evaluate the clinical prognosis of patients with ASDH.
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Affiliation(s)
- Zean Li
- Department of Neurosurgery of the First Clinical Hospital, Jilin University, Changchun, China
| | - Yan Feng
- Department of Radiology of the First Clinical Hospital, Jilin University, Changchun, China
| | - Pengju Wang
- Department of Neurosurgery of the First Clinical Hospital, Jilin University, Changchun, China
| | - Shuai Han
- Department of Neurosurgery of the First Clinical Hospital, Jilin University, Changchun, China
| | - Kang Zhang
- Department of Neurosurgery of the First Clinical Hospital, Jilin University, Changchun, China
| | - Chunyun Zhang
- Department of Neurosurgery of the First Clinical Hospital, Jilin University, Changchun, China
| | - Shouyong Lu
- Department of Neurosurgery of the First Clinical Hospital, Jilin University, Changchun, China
| | - Chuanxiang Lv
- Department of Neurosurgery of the First Clinical Hospital, Jilin University, Changchun, China
| | - Fulei Zhu
- Department of Neurosurgery of the First Clinical Hospital, Jilin University, Changchun, China
| | - Li Bie
- Department of Neurosurgery of the First Clinical Hospital, Jilin University, Changchun, China,*Correspondence: Li Bie
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Kaewborisutsakul A, Tunthanathip T. Development and internal validation of a nomogram for predicting outcomes in children with traumatic subdural hematoma. Acute Crit Care 2022; 37:429-437. [PMID: 35791657 PMCID: PMC9475159 DOI: 10.4266/acc.2021.01795] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 02/07/2022] [Indexed: 12/23/2022] Open
Abstract
Background A subdural hematoma (SDH) following a traumatic brain injury (TBI) in children can lead to unexpected death or disability. The nomogram is a clinical prediction tool used by physicians to provide prognosis advice to parents for making decisions regarding treatment. In the present study, a nomogram for predicting outcomes was developed and validated. In addition, the predictors associated with outcomes in children with traumatic SDH were determined. Methods In this retrospective study, 103 children with SDH after TBI were evaluated. According to the King’s Outcome Scale for Childhood Head Injury classification, the functional outcomes were assessed at hospital discharge and categorized into favorable and unfavorable. The predictors associated with the unfavorable outcomes were analyzed using binary logistic regression. Subsequently, a two-dimensional nomogram was developed for presentation of the predictive model. Results The predictive model with the lowest level of Akaike information criterion consisted of hypotension (odds ratio [OR], 9.4; 95% confidence interval [CI], 2.0–42.9), Glasgow coma scale scores of 3–8 (OR, 8.2; 95% CI, 1.7–38.9), fixed pupil in one eye (OR, 4.8; 95% CI, 2.6–8.8), and fixed pupils in both eyes (OR, 3.5; 95% CI, 1.6–7.1). A midline shift ≥5 mm (OR, 1.1; 95% CI, 0.62–10.73) and co-existing intraventricular hemorrhage (OR, 6.5; 95% CI, 0.003–26.1) were also included. Conclusions SDH in pediatric TBI can lead to mortality and disability. The predictability level of the nomogram in the present study was excellent, and external validation should be conducted to confirm the performance of the clinical prediction tool.
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Affiliation(s)
- Anukoon Kaewborisutsakul
- Division of Neurosurgery, Department of Surgery, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Thara Tunthanathip
- Division of Neurosurgery, Department of Surgery, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
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Suehiro E, Kiyohira M, Haji K, Suzuki M. Changes in Outcomes after Discharge from an Acute Hospital in Severe Traumatic Brain Injury. Neurol Med Chir (Tokyo) 2021; 62:111-117. [PMID: 34880162 PMCID: PMC8918365 DOI: 10.2176/nmc.oa.2021-0217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Neurological improvement occurs from the subacute to chronic phases in severe traumatic brain injury. We analyzed factors associated with improved neurological findings in the subacute phase, using data from the Japan Neurotrauma Data Bank (JNTDB). The subjects were 1345 patients registered in the JNTDB (Project 2015). Clinical improvement was evaluated by comparing the Glasgow Outcome Scale (GOS) at discharge and 6 months after injury. Of these patients, 157 with severe disability (SD) on the discharge GOS were examined to evaluate factors associated with neurological improvement in the subacute phase. Cases were defined as those with (group I) and without (group N) improvement: a change from SD at discharge to good recovery (GR) or moderate disability (MD) at 6 months after injury. Patient background, admission findings, treatment, and discharge destination were examined. In all patients, the favorable outcome (GR, MD) rate improved from 30.2% at discharge to 35.7% at 6 months after injury. Of SD cases at discharge, 44.6% had a favorable outcome at 6 months (group I). Patients in group I were significantly younger, and had a significantly lower D-dimer level in initial blood tests and a lower incidence of convulsions. In multivariate analysis, discharge to home was a significant factor associated with an improved outcome. Many SD cases at discharge ultimately showed neurological improvement, and the initial D-dimer level may be a predictor of such improvement. The environment after discharge from an acute care hospital may also contribute to an improved long-term prognosis.
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Affiliation(s)
- Eiichi Suehiro
- Department of Neurosurgery, International University of Health and Welfare, School of Medicine.,The Japan Neurotrauma Data Bank Committee, The Japan Society of Neurotraumatology
| | - Miwa Kiyohira
- Department of Neurosurgery, Yamaguchi University School of Medicine
| | - Kohei Haji
- Department of Neurosurgery, Yamaguchi University School of Medicine
| | - Michiyasu Suzuki
- The Japan Neurotrauma Data Bank Committee, The Japan Society of Neurotraumatology.,Department of Neurosurgery, Yamaguchi University School of Medicine
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- The Japan Neurotrauma Data Bank Committee, The Japan Society of Neurotraumatology
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