1451
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Cheng P, Yin P, Ning P, Wang L, Cheng X, Liu Y, Schwebel DC, Liu J, Qi J, Hu G, Zhou M. Trends in traumatic brain injury mortality in China, 2006-2013: A population-based longitudinal study. PLoS Med 2017; 14:e1002332. [PMID: 28700591 PMCID: PMC5507407 DOI: 10.1371/journal.pmed.1002332] [Citation(s) in RCA: 113] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2017] [Accepted: 05/19/2017] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Traumatic brain injury (TBI) is a significant global public health problem, but has received minimal attention from researchers and policy-makers in low- and middle-income countries (LMICs). Epidemiological evidence of TBI morbidity and mortality is absent at the national level for most LMICs, including China. Using data from China's Disease Surveillance Points (DSPs) system, we conducted a population-based longitudinal analysis to examine TBI mortality, and mortality differences by sex, age group, location (urban/rural), and external cause of injury, from 1 January 2006 to 31 December 2013 in China. METHOD AND FINDINGS Mortality data came from the national DSPs system of China, which has coded deaths using the International Classification of Diseases-10th Revision (ICD-10) since 2004. Crude and age-standardized mortality with 95% CIs were estimated using the census population in 2010 as a reference population. The Cochran-Armitage trend test was used to examine the significance of trends in mortality from 2006 to 2013. Negative binomial models were used to examine the associations of TBI mortality with location, sex, and age group. Subgroup analysis was performed by external cause of TBI. We found the following: (1) Age-adjusted TBI mortality increased from 13.23 per 100,000 population in 2006 to 17.06 per 100,000 population in 2008 and then began to fall slightly. In 2013, age-adjusted TBI mortality was 12.99 per 100,000 population (SE = 0.13). (2) Compared to females and urban residents, males and rural residents had higher TBI mortality risk, with adjusted mortality rate ratios of 2.57 and 1.71, respectively. TBI mortality increased substantially with older age. (3) Motor vehicle crashes and falls were the 2 leading causes of TBI mortality between 2006 and 2013. TBI deaths from motor vehicle crashes in children aged 0-14 years and adults aged 65 years and older were most often in pedestrians, and motorcyclists were the first or second leading category of road user for the other age groups. (4) TBI mortality attributed to motor vehicle crashes increased for pedestrians and motorcyclists in all 7 age groups from 2006 to 2013. Our analysis was limited by the availability and quality of data in the DSPs dataset, including lack of injury-related socio-economic factors, policy factors, and individual and behavioral factors. The dataset also may be incomplete in TBI death recording or contain misclassification of mortality data. CONCLUSIONS TBI constitutes a serious public health threat in China. Further studies should explore the reasons for the particularly high risk of TBI mortality among particular populations, as well as the reasons for recent increases in certain subgroups, and should develop solutions to address these challenges. Interventions proven to work in other cultures should be introduced and implemented nationwide. Examples of these in the domain of motor vehicle crashes include policy change and enforcement of laws concerning helmet use for motorcyclists and bicyclists, car seat and booster seat use for child motor vehicle passengers, speed limit and drunk driving laws, and alcohol ignition interlock use. Examples to prevent falls, especially among elderly individuals, include exercise programs, home modification to reduce fall risk, and multifaceted interventions to prevent falls in all age groups.
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Affiliation(s)
- Peixia Cheng
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peishan Ning
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xunjie Cheng
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Yunning Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - David C. Schwebel
- Department of Psychology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | - Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guoqing Hu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- * E-mail: (MZ); (GH)
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- * E-mail: (MZ); (GH)
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1452
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Nelson LD, Ranson J, Ferguson AR, Giacino J, Okonkwo DO, Valadka A, Manley G, McCrea M. Validating Multidimensional Outcome Assessment Using the TBI Common Data Elements: An Analysis of the TRACK-TBI Pilot Sample. J Neurotrauma 2017; 34:3158-3172. [PMID: 28595478 PMCID: PMC5678361 DOI: 10.1089/neu.2017.5139] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
The Glasgow Outcome Scale-Extended (GOSE) is often the primary outcome measure in clinical trials for traumatic brain injury (TBI). Although the GOSE's capture of global function outcome has several strengths, concerns have been raised about its limited ability to identify mild disability and failure to capture the full scope of problems patients exhibit after TBI. This analysis examined the convergence of disability ratings across a multidimensional set of outcome domains in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Pilot study. The study collected measures recommended by the TBI Common Data Elements (CDE) Workgroup. Patients presenting to 3 emergency departments with a TBI of any severity enrolled in TRACK-TBI prospectively after injury; outcome measures were collected at 3 and six months postinjury. Analyses examined frequency of impairment and overlap between impairment status across the CDE outcome domains of Global Level of Functioning (GOSE), Neuropsychological (cognitive) Impairment, Psychological Status, TBI Symptoms, and Quality of Life. GOSE score correlated in the expected direction with other outcomes (M Spearman's rho = .21 and .49 with neurocognitive and self-report outcomes, respectively). The subsample in the Upper Good Recovery (GOSE 8) category appeared quite healthy across most other outcomes, although 19.0% had impaired executive functioning (Trail Making Test Part B). A significant minority of participants in the Lower Good Recovery subgroup (GOSE 7) met criteria for impairment across numerous other outcome measures. The findings highlight the multidimensional nature of TBI recovery and the limitations of applying only a single outcome measure.
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Affiliation(s)
- Lindsay D Nelson
- Medical College of Wisconsin, Neurosurgery , 8701 West Watertown Plank Road , Milwaukee, Wisconsin, United States , 53226 ;
| | - Jana Ranson
- Medical College of Wisconsin, Neurosurgery , 8701 Watertown Plank Road , Milwaukee, Wisconsin, United States , 53226 ;
| | - Adam R Ferguson
- UCSF, Brain and Spinal Injury Center, Dept Neurosurgery , 1001 Potrero Ave , 1001 Potrero Ave , San Francisco, California, United States , 94110 ;
| | | | - David O Okonkwo
- University of Pittsburgh Medical Center, Neurosurgery , 200 Lothrop Street , Suite B-400 , Pittsburgh, Pennsylvania, United States , 15213 ;
| | - Alex Valadka
- Virginia Commonwealth University , Department of Neurosurgery , 417 North 11th Street, Sixth Floor , P.O. Box 980631 , Richmond, Virginia, United States , 23298-0631 ;
| | - Geoffrey Manley
- University of California, San Francisco, Neurosurgery, San Francisco, California, United States ;
| | - Michael McCrea
- Medical College of Wisconsin, Neurosurgery, Milwaukee, Wisconsin, United States ;
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1453
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Khan M, O'Keeffe T, Jehan F, Kulvatunyou N, Kattaa A, Gries L, Tang A, Joseph B. The impact of Glasgow Coma Scale-age prognosis score on geriatric traumatic brain injury outcomes. J Surg Res 2017; 216:109-114. [PMID: 28807194 DOI: 10.1016/j.jss.2017.04.026] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 04/10/2017] [Accepted: 04/27/2017] [Indexed: 10/19/2022]
Abstract
BACKGROUND As the population ages, increasing number of geriatric patients sustain traumatic brain injury (TBI). Communication of accurate prognostic information is crucial for making informed decisions on behalf of such patients. Therefore, the aim of our study was to develop a simple and clinically applicable tool that accurately predicts the prognosis in geriatric TBI patients. METHODS We performed a 1-y (2011) retrospective analysis of isolated geriatric TBI patients (age ≥65 y, head abbreviated injury score [AIS] ≥ 3, and other body AIS < 3) in the National Trauma Data Bank. We calculated a Glasgow Coma Scale (GCS)-age prognosis (GAP) score (age/GCS score) for all patients. Outcome measures were in-hospital adverse outcomes (mortality and Rehab/skilled nursing facility discharge disposition). Regression analysis and receiver operator characteristic curve analysis were performed to determine the discriminatory power of GAP score. RESULTS A total of 8750 geriatric patients with TBI were included. Mean age was 77.8 ± 7.1 y, the median (interquartile range) GCS was 15 (13-15), and the median (interquartile range) head AIS was 4 (3-4). The overall in-hospital mortality rate was 12.7%, and 34.2% of the patients were discharged home. As the GAP score increased, the mortality rate increased and discharge to-home decreased. Receiver operator characteristic curve analysis revealed excellent discriminatory power for mortality (area under the curve: 0.826). Above a GAP score of 12, the mortality rate was >50% and more than 45% of the patients were discharged to Rehab/skilled nursing facility. CONCLUSIONS For geriatric patients with TBI, a simple GAP score reliably predicts outcomes. A score above 12 results in a drastic increase in mortality and an adverse discharge disposition. This simple tool may help clinicians provide accurate prognostic information to patients' families.
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Affiliation(s)
- Muhammad Khan
- Division of Trauma, Critical Care, Emergency Surgery, and Burns, Department of Surgery, University of Arizona, Tucson, Arizona
| | - Terence O'Keeffe
- Division of Trauma, Critical Care, Emergency Surgery, and Burns, Department of Surgery, University of Arizona, Tucson, Arizona
| | - Faisal Jehan
- Division of Trauma, Critical Care, Emergency Surgery, and Burns, Department of Surgery, University of Arizona, Tucson, Arizona
| | - Narong Kulvatunyou
- Division of Trauma, Critical Care, Emergency Surgery, and Burns, Department of Surgery, University of Arizona, Tucson, Arizona
| | - Abdullah Kattaa
- Division of Trauma, Critical Care, Emergency Surgery, and Burns, Department of Surgery, University of Arizona, Tucson, Arizona
| | - Lynn Gries
- Division of Trauma, Critical Care, Emergency Surgery, and Burns, Department of Surgery, University of Arizona, Tucson, Arizona
| | - Andrew Tang
- Division of Trauma, Critical Care, Emergency Surgery, and Burns, Department of Surgery, University of Arizona, Tucson, Arizona
| | - Bellal Joseph
- Division of Trauma, Critical Care, Emergency Surgery, and Burns, Department of Surgery, University of Arizona, Tucson, Arizona.
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1454
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Wong AWK, Ng S, Dashner J, Baum MC, Hammel J, Magasi S, Lai JS, Carlozzi NE, Tulsky DS, Miskovic A, Goldsmith A, Heinemann AW. Relationships between environmental factors and participation in adults with traumatic brain injury, stroke, and spinal cord injury: a cross-sectional multi-center study. Qual Life Res 2017; 26:2633-2645. [DOI: 10.1007/s11136-017-1586-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/21/2017] [Indexed: 10/19/2022]
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