scholarly journals Comparison of Dizziness Factors for Mild Traumatic Brain Injury Patients with and without Dizziness: A Factor Analysis and Propensity Score Model Study

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Hon-Ping Ma ◽  
Jiann Ruey Ong ◽  
Ju-Chi Ou ◽  
Yung-Hsiao Chiang ◽  
Shoou-Yang Lian
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Propensity Score ◽  
Internal Validity ◽  
The United States ◽  
Chinese Version ◽  
English Version ◽  
Propensity Score Model ◽  
Model Study ◽  
Score Model

Traumatic brain injury (TBI) causes major socioeconomic problems worldwide. In the United States, nearly three-quarters of patients with TBI have mild TBI (mTBI). 32% of these patients may develop dizziness. In this study, we analyzed the factor structure of the traditional Chinese version of the DHI and evaluate the differences in DHI factors between dizziness and nondizziness groups. In total, 315 patients with mTBI, comprising 158 with self-reported dizziness and 157 without dizziness, were recruited from three hospitals. The responses for Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Epworth Sleepiness Scale (ESS), and Pittsburgh Sleep Quality Index (PSQI) demonstrated between-group differences. The Chinese DHI had internal validity and had four factors that differed from the English version (3 aspects). The group effects for the physical subscale remained significantly different even after adjustments in the propensity score model. For the Chinese version, two of four factors remained significantly different in the effects between self-reported dizziness and nondizziness groups. The factors of our Chinese DHI differed from those of the original English version of DHI. After adjustments using the propensity score model, the physical subscale demonstrated significant differences between the self-reported dizziness and nondizziness groups. Only two factors from our Chinese DHI were significantly different; moreover, it contained only three physical, five functional, and three emotional items.

Traumatic Brain Injury: A Trauma Surgeon's Perspective

2012 ◽  
Vol 22 (3) ◽  
pp. 82-89
Author(s):  
Oscar D. Guillamondegui
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Multidisciplinary Approach ◽  
Trauma Team ◽  
The United States ◽  
Long Term Outcomes ◽  
Term Care ◽  
Injured Brain ◽  
The Moment

Traumatic brain injury (TBI) is a serious epidemic in the United States. It affects patients of all ages, race, and socioeconomic status (SES). The current care of these patients typically manifests after sequelae have been identified after discharge from the hospital, long after the inciting event. The purpose of this article is to introduce the concept of identification and management of the TBI patient from the moment of injury through long-term care as a multidisciplinary approach. By promoting an awareness of the issues that develop around the acutely injured brain and linking them to long-term outcomes, the trauma team can initiate care early to alter the effect on the patient, family, and community. Hopefully, by describing the care afforded at a trauma center and by a multidisciplinary team, we can bring a better understanding to the armamentarium of methods utilized to treat the difficult population of TBI patients.

Divergence in the epidemiological estimates of traumatic brain injury in the United States: comparison of two national databases

2020 ◽  
pp. 1-10
Author(s):  
Brittany M. Stopa ◽  
Maya Harary ◽  
Ray Jhun ◽  
Arun Job ◽  
Saef Izzy ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Emergency Department ◽  
Brain Injury ◽  
Data Bank ◽  
The United States ◽  
National Sample ◽  
Population Based ◽  
Weighted Estimates ◽  
True Incidence ◽  
Ed Visits

OBJECTIVETraumatic brain injury (TBI) is a leading cause of morbidity and mortality in the US, but the true incidence of TBI is unknown.METHODSThe National Trauma Data Bank National Sample Program (NTDB NSP) was queried for 2007 and 2013, and population-based weighted estimates of TBI-related emergency department (ED) visits, hospitalizations, and deaths were calculated. These data were compared to the 2017 Centers for Disease Control and Prevention (CDC) report on TBI, which used the Healthcare Cost and Utilization Project’s National (“Nationwide” before 2012) Inpatient Sample and National Emergency Department Sample.RESULTSIn the NTDB NSP the incidence of TBI-related ED visits was 59/100,000 in 2007 and 62/100,000 in 2013. However, in the CDC report there were 534/100,000 in 2007 and 787/100,000 in 2013. The CDC estimate for ED visits was 805% higher in 2007 and 1169% higher in 2013. In the NTDB NSP, the incidence of TBI-related deaths was 5/100,000 in 2007 and 4/100,000 in 2013. In the CDC report, the incidence was 18/100,000 in both years. The CDC estimate for deaths was 260% higher in 2007 and 325% higher in 2013.CONCLUSIONSThe databases disagreed widely in their weighted estimates of TBI incidence: CDC estimates were consistently higher than NTDB NSP estimates, by an average of 448%. Although such a discrepancy may be intuitive, this is the first study to quantify the magnitude of disagreement between these databases. Given that research, funding, and policy decisions are made based on these estimates, there is a need for a more accurate estimate of the true national incidence of TBI.

scholarly journals Reply to Comment on Tsai, Y.-C., et al. Association of Stress-Induced Hyperglycemia and Diabetic Hyperglycemia with Mortality in Patients with Traumatic Brain Injury: Analysis of a Propensity Score-Matched Population. Int. J. Environ. Res. Public Health 2020, 17, 4266

2021 ◽  
Vol 18 (5) ◽  
pp. 2531
Author(s):  
Yu-Chin Tsai ◽  
Shao-Chun Wu ◽  
Ting-Min Hsieh ◽  
Hang-Tsung Liu ◽  
Chun-Ying Huang ◽  
...  
Keyword(s):  
Public Health ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Propensity Score ◽  
Brain Injuries ◽  
Traumatic Brain Injuries ◽  
Injury Analysis

Thank you for Eduardo Mekitarian Filho’s appreciation of our work on the study of stress-induced hyperglycemia (SIH) and diabetic hyperglycemia (DH) in patients with traumatic brain injuries [...]

scholarly journals Adult sports-related traumatic brain injury in United States trauma centers

2016 ◽  
Vol 40 (4) ◽  
pp. E4 ◽  
Author(s):  
Ethan A. Winkler ◽  
John K. Yue ◽  
John F. Burke ◽  
Andrew K. Chan ◽  
Sanjay S. Dhall ◽  
...  
Keyword(s):  
United States ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
The United States ◽  
Mortality Rates ◽  
Hospital Length Of Stay ◽  
Health Concern ◽  
Medical Complications ◽  
Equestrian Sports ◽  
Prolonged Hospital

OBJECTIVE Sports-related traumatic brain injury (TBI) is an important public health concern estimated to affect 300,000 to 3.8 million people annually in the United States. Although injuries to professional athletes dominate the media, this group represents only a small proportion of the overall population. Here, the authors characterize the demographics of sports-related TBI in adults from a community-based trauma population and identify predictors of prolonged hospitalization and increased morbidity and mortality rates. METHODS Utilizing the National Sample Program of the National Trauma Data Bank (NTDB), the authors retrospectively analyzed sports-related TBI data from adults (age ≥ 18 years) across 5 sporting categories—fall or interpersonal contact (FIC), roller sports, skiing/snowboarding, equestrian sports, and aquatic sports. Multivariable regression analysis was used to identify predictors of prolonged hospital length of stay (LOS), medical complications, inpatient mortality rates, and hospital discharge disposition. Statistical significance was assessed at α < 0.05, and the Bonferroni correction for multiple comparisons was applied for each outcome analysis. RESULTS From 2003 to 2012, in total, 4788 adult sports-related TBIs were documented in the NTDB, which represented 18,310 incidents nationally. Equestrian sports were the greatest contributors to sports-related TBI (45.2%). Mild TBI represented nearly 86% of injuries overall. Mean (± SEM) LOSs in the hospital or intensive care unit (ICU) were 4.25 ± 0.09 days and 1.60 ± 0.06 days, respectively. The mortality rate was 3.0% across all patients, but was statistically higher in TBI from roller sports (4.1%) and aquatic sports (7.7%). Age, hypotension on admission to the emergency department (ED), and the severity of head and extracranial injuries were statistically significant predictors of prolonged hospital and ICU LOSs, medical complications, failure to discharge to home, and death. Traumatic brain injury during aquatic sports was similarly associated with prolonged ICU and hospital LOSs, medical complications, and failure to be discharged to home. CONCLUSIONS Age, hypotension on ED admission, severity of head and extracranial injuries, and sports mechanism of injury are important prognostic variables in adult sports-related TBI. Increasing TBI awareness and helmet use—particularly in equestrian and roller sports—are critical elements for decreasing sports-related TBI events in adults.

Traumatic Brain Injury and Psychiatric Co-Morbidity in the United States

2018 ◽  
Vol 90 (1) ◽  
pp. 151-158 ◽  
Author(s):  
Michael G. Vaughn ◽  
Christopher P. Salas-Wright ◽  
Rachel John ◽  
Katherine J. Holzer ◽  
Zhengmin Qian ◽  
...  
Keyword(s):  
United States ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
The United States ◽  
Co Morbidity

Should a propensity score model be super? The utility of ensemble procedures for causal adjustment

2018 ◽  
Vol 38 (9) ◽  
pp. 1690-1702 ◽  
Author(s):  
Shomoita Alam ◽  
Erica E. M. Moodie ◽  
David A. Stephens
Keyword(s):  
Propensity Score ◽  
Propensity Score Model ◽  
Score Model

scholarly journals Exploring the intersection of traumatic brain injury and mental health in survivors of intimate partner violence

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Danielle Toccalino ◽  
Amy Moore ◽  
Sophia Chuon Gutierrez ◽  
Angela Colantonio ◽  
Christine M. Wickens ◽  
...  
Keyword(s):  
Mental Health ◽  
Traumatic Brain Injury ◽  
Intimate Partner Violence ◽  
Brain Injury ◽  
Partner Violence ◽  
The United States ◽  
Intimate Partner ◽  
Future Research ◽  
Heterosexual Relationships ◽  
Economic Implications

Introduction: One in four Canadian women experience intimate partner violence (IPV) in their lifetime. The COVID-19 pandemic has significantly increased rates of IPV globally and the level of violence encountered, exposing IPV survivors to greater risk of physical injury, including traumatic brain injury (TBI). Up to 75% of survivors are suspected of sustaining a TBI and 50-75% experience mental health or substance use challenges (MHSU) as a result of IPV, resulting in extensive personal, social, and economic implications. Objective: The objective of this scoping review was to synthesize what is currently known in the literature about MHSU and TBI among survivors of IPV and identify gaps. Methods: MEDLINE, EMBASE, PsycINFO, CINAHL, Cochrane, Scopus, and Web of Science were searched for relevant articles using a search strategy including text words and subject headings related to TBI, IPV, and MHSU. Two reviewers independently assessed articles for inclusion. Results: The search identified 399 unique articles, 34 of which were included in this study. Of these, 11 articles reported on MHSU in IPV-related TBI and 9 articles reported on both TBI and MHSU in IPV but did not discuss the groups together. The remainder were reviews or theses that noted MHSU in IPV-related TBI. Included articles predominantly focused on cis-gendered women in heterosexual relationships and were conducted in the United States. Only three articles focused on the experiences of Black or Indigenous women and none of the included studies discussed implications of co-occurring TBI and MHSU on survivor’s healthcare-related needs or access to care. Conclusions: Despite the high rates of co-occurring TBI and MHSU among survivors of IPV, there is little research on this intersection and no investigation of the impacts on the health system. Future research should focus on identifying the healthcare-related needs of survivors and identifying and mitigating barriers to access.

scholarly journals Use of Vasopressors Increases the Risk of Mortality in Severe Traumatic Brain Injury: A Nationwide Retrospective Cohort Study in Japan

2021 ◽  
Author(s):  
Sanae Hosomi ◽  
Tomotaka Sobue ◽  
Tetsuhisa Kitamura ◽  
Atsushi Hirayama ◽  
Hiroshi Ogura ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Emergency Department ◽  
Cohort Study ◽  
Brain Injury ◽  
Propensity Score ◽  
Hospital Discharge ◽  
Severe Traumatic Brain Injury ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Clinical Practices

Abstract BackgroundPharmacological elevation of blood pressure is frequently incorporated in severe traumatic brain injury management algorithms. However, there is limited evidence on prevalent clinical practices regarding resuscitation for severe traumatic brain injury using vasopressors. We conducted a nationwide retrospective cohort study to determine the association between the use of vasopressors and mortality following hospital discharge in patients with severe traumatic brain injury, and to determine whether the use of vasopressors affects emergency department mortality or the occurrence of cognitive dysfunction.MethodsData were collected between January 2004 and December 2018 from the Japanese Trauma Data Bank, which includes data from 272 emergency hospitals in Japan. Adults aged ≥16 years with severe traumatic brain injury, without other major injuries, were examined. A severe traumatic brain injury was defined based on the Abbreviated Injury Scale code and a Glasgow Coma Scale score of 3–8 on admission. Multivariable analysis and propensity score matching were performed. Statistical significance was assessed using 95% confidence intervals (CIs).ResultsIn total, 10 284 patients were eligible for analysis, with 650 patients (6.32%) included in the vasopressor group and 9634 patients (93.68%) included in the non-vasopressor group. The proportion of deaths on hospital discharge was higher in the vasopressor group than in the non-vasopressor group (81.69% [531/650] vs. 40.21% [3,874/9,634]). This finding was confirmed by multivariable logistic regression analysis (adjusted odds ratio [OR], 5.71; 95% CI: 4.56–7.16). Regarding propensity score-matched patients, the proportion of deaths on hospital discharge remained higher in the vasopressor group than in the non-vasopressor group (81.66% [530/649] vs. 50.69% [329/649]) (OR, 4.33; 95% CI: 3.37–5.57). The vasopressor group had a higher emergency department mortality rate than the non-vasopressor group (8.01% [52/649] vs. 2.77% [18/649]) (OR, 3.05; 95% CI: 1.77–5.28). There was no reduction in complications of cognitive disorders in the vasopressor group (5.39% [35/649] vs. 5.55% [36/649]) (OR, 0.97; 95% CI: 0.60–1.57).ConclusionsIn this population, the use of vasopressors for severe traumatic brain injury was associated with higher mortality on hospital discharge. Our results suggest that vasopressors should be avoided in most cases of severe traumatic brain injury.

scholarly journals Causal Subclassification Tree Algorithm and Robust Causal Effect Estimation via Subclassification

2020 ◽  
Vol 10 (1) ◽  
pp. 40
Author(s):  
Tomoshige Nakamura ◽  
Mihoko Minami
Keyword(s):  
Propensity Score ◽  
Propensity Scores ◽  
Causal Effect ◽  
Model Misspecification ◽  
Robust Estimator ◽  
Propensity Score Model ◽  
Confounding Variables ◽  
Score Model ◽  
Effect Estimation ◽  
Weighting Methods

In observational studies, the existence of confounding variables should be attended to, and propensity score weighting methods are often used to eliminate their e ects. Although many causal estimators have been proposed based on propensity scores, these estimators generally assume that the propensity scores are properly estimated. However, researchers have found that even a slight misspecification of the propensity score model can result in a bias of estimated treatment effects. Model misspecification problems may occur in practice, and hence, using a robust estimator for causal effect is recommended. One such estimator is a subclassification estimator. Wang, Zhang, Richardson, &amp; Zhou (2020) presented the conditions necessary for subclassification estimators to have $\sqrt{N}$-consistency and to be asymptotically well-defined and suggested an idea how to construct subclasses.

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