TBI Hospitalizations/Deaths

A 2001-2010 Study of U.S. Rates

By Health [source]

About this dataset

This dataset examines the troubling national rise in traumatic brain injury (TBI)-related emergency department (ED) visits, hospitalizations and deaths over the past decade. While TBI-related ED visits make up a large share of this increase, rates of hospitalizations related to TBI remain relatively stable. The total combined rate of all three categories steadily increased from 521.0 per 100,000 people in 2001 to 823.7 per 100,000 people in 2010 – an alarming 57% rise that demands our attention and rapid solutions in order to reverse this trend. Not only is the sudden spike concerning but so too is the slightly decreasing rates for TBI-related deaths which dropped from 18.5 per 100,000 to 17.1 per 100,000 over this time period despite overall numbers continuing to climb upwards with no sign of slowing down soon. Have a look at this dataset and explore what we can do together to work towards a healthier future free of needless fatalities caused by preventable injuries such as those related to TBIs

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How to use the dataset

• Take a look at the Total column – it combines all 3 types of hospitalization numbers (Emergency Department Visits, Hospitalizations and Deaths) together into one figure per year. This makes it easy to see what the overall rate over time has been.

• The Emergency Department Visits, Hospitalizations and Deaths columns can be used individually as well – view them separately on their own scales so you can better compare them against each other year by year.

• Use filtering tools or visualizations tools if you’d like to dive deeper into each figure separately in order to pinpoint trends or changes in any particular subcategory more closely.

• The data is displayed historically; however, use math operations such as averaging or percentage increases/decreases across different years if you’d like analyze trends over time more broadly

Research Ideas

• To compare the rate of TBI-related hospitalizations, ED visits and deaths between states/countries/age groups.
• To create a visual representation (i.e., an infographic) to track TBI-related hospitalization, ED visit and death rates over the past decade in order to inform public health initiatives.
• To study the effect of investments made in prevention programs on the rate of TBI-related hospitalizations, ED visits and deaths in different regions or cities over time

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: Rates_of_TBI-related_Emergency_Department_Visits_Hospitalizations_and_Deaths_United_States_2001_2010.csv | Column name | Description | |:--------------------------------|:------------------------------------------------------------------------------------------------| | Year | Year of the data point. (Integer) | | Emergency Department Visits | Number of TBI-related emergency department visits per 100,000 people. (Float) | | Hospitalizations | Number of TBI-related hospitalizations per 100,000 people. (Float) | | Deaths | Number of TBI-related deaths per 100,000 people. (Float) | | Total | Total number of TBI-related ED visits, hospitalizations, and deaths per 100,000 people. (Float) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Health.

This statistic shows the rate of hospitalizations due to traumatic brain injuries (TBI) in the U.S. in 2016 and 2017, by injury cause, per 100,000 population. During 2017, the rate of hospitalization due to traumatic brain injuries caused by unintentional falls was **** per 100,000 population. Unintentional falls were the leading cause of TBI-related hospitalizations in both years.

In general, total combined rates for traumatic brain injury (TBI)-related emergency department (ED) visits, hospitalizations and deaths have increased over the past decade. Total combined rates of TBI-related hospitalizations, ED visits, and deaths climbed slowly from a rate of 521.0 per 100,000 in 2001 to 615.7 per 100,000 in 2005. The rates then dipped to 595.1 per 100,000 in 2006 and 566.7 per 100,000 in 2007. The rates then spiked sharply in 2008 and continued to climb through 2010 to a rate of 823.7 per 100,000. Total combined rates of TBI-related hospitalizations, ED visits, and deaths are driven in large part by the relatively high number of TBI-related ED visits. In comparison to ED visits, the overall rates of TBI-related hospitalizations remained relatively stable changing from 82.7 per 100,000 in 2001 to 91.7 per 100,000 in 2010. TBI-related deaths also decreased slightly over time from 18.5 per 100,000 in 2001 to 17.1 per 100,000 in 2010. Note that the axis scale for TBI-related deaths appears to the right of the chart and differs from TBI-related hospitalizations and ED visits.Go to http://www.cdc.gov/traumaticbraininjury/data/index.html to view more TBI data & statistics.

In 2017, unintentional falls had the highest rate of traumatic brain injury (TBI) hospitalizations among those aged 75 and older, with roughly 261 hospitalizations per 100,000 population. Rates of TBI hospitalization caused by motor-vehicle crashes were highest among those aged between 15 and 24 years. This statistic shows the rate of hospitalizations due to traumatic brain injuries in the U.S. in 2017, by age and injury cause.

Overall rates of TBI climbed slowly from 2001 through 2007, then spiked sharply in 2008 and continued to climb through 2010. The increase in TBI rates in 2008 was much sharper for men (nearly 40% increase) than for women (20% increase). In 2007, overall rates of TBI were 26% higher in men compared to women. In 2008, that gap began to widen, reaching 61% in 2009 before narrowing to 29% in 2010. Rates of overall TBI are largely driven by rates of TBI-related ED visits.

This statistic displays the annual number of hospital admissions for acquired brain injury in the United Kingdom in 2016/17. In this year, there were approximately ***** thousand hospital admissions for acquired brain injury in the UK.

Background: Even though traumatic brain injury (TBI) is a major cause of morbidity and mortality in children around the globe, population-based and nation-wide data to assess the burden of TBI is scarce.Methods:Based on diagnosis related groups from nation-wide hospital data, we extracted data on all TBI-related hospitalizations in children

Few studies have assessed pregnancies and deliveries after traumatic brain injury (TBI). We report the incidence of TBIs and TBI-related surgeries in fertile-aged females and investigate subsequent pregnancy outcomes. All fertile-aged (15–49) women with TBI diagnosis during our study period (1998–2018) were retrieved from the Care Register for Health Care and combined with data from the National Medical Birth Register. TBIs were categorized into three subgroups based on the length of the hospitalization period and the need for neurosurgery. Logistic regression was used to analyze preterm deliveries, cesarean sections (CS) and neonatal health. Results are reported as adjusted odds ratios (AOR) with 95% confidence intervals (CI). The incidence of TBIs increased from 103 per 100 000 person-years in 1998 to 257 per 100 000 (149.5%) in 2018. The incidence of TBI-related surgeries remained stable during our study period. The rate of preterm deliveries was 5.6% in the TBI group and 3.0% in the control group (AOR 1.23, CI 1.17–1.28). The CS rate in the TBI group was 19.2% and 15.9% in the control group (AOR 1.23, CI 1.18–1.29). The use of labor analgesia was higher among women with previous TBI. The rate of neonates requiring intensive care in the TBI group was 13.1% and 9.9% in the control group (AOR 1.30, CI 1.24–1.37). The incidence of TBI hospitalizations increased during our study period, whereas the number of surgically treated TBI remained stable. Preterm deliveries, CS, instrumental vaginal deliveries and labor analgesia were more prevalent in women with previous TBI. Furthermore, more neonates required intensive care in this group. Therefore, a history of TBI should be acknowledged as a possible factor affecting the delivery and health of the neonate.

Dataset of a cohort whose summary is described below.

ABSTRACT

Background: Traumatic brain injury (TBI) has substantial physical, psychological, social and economic impacts, with high rates of morbidity and mortality. Considering its high incidence, the aim of this study was to identify epidemiological and clinical characteristics that predict mortality in patients hospitalized for TBI in intensive care units (ICUs). Methods: A retrospective cohort study was carried out with patients over 18 years old with TBI admitted to an ICU of a Brazilian trauma referral hospital between January 2012 and August 2019. TBI was compared with other traumas in terms of clinical characteristics of ICU admission and outcome. Univariate and multivariate analyses were used to estimate the odds ratio for mortality. Results: Of the 4816 patients included, 1114 had TBI, with a predominance of males (85.1%). Compared with patients with other traumas, patients with TBI had a lower mean age (45.3 ± 19.1 versus 57.1 ± 24.1 years, p < 0.001), higher median APACHE II (19 versus 15, p <0.001) and SOFA (6 versus 3, p < 0.001) scores, lower median Glasgow Coma Scale (GCS) score (10 versus 15, p < 0.001), higher median length of stay (7 days versus 4 days, p < 0.001) and higher mortality (27.6% versus 13.3%, p < 0.001). In the multivariate analysis, the predictors of mortality were older age (OR: 1.008 [1.002-1.015], p = 0.016), higher APACHE II score (OR: 1.180 [1.155-1.204], p < 0.001), lower GCS score for the first 24 hours (OR: 0.730 [0.700-0.760], p < 0.001), and greater number of brain injuries and presence of associated chest trauma (OR: 1.727 [1.192-2.501], p < 0.001). Conclusion: Patients admitted to the ICU for TBI were younger and had worse prognostic scores, longer hospital stays and higher mortality than those admitted to the ICU for other traumas. The independent predictors of mortality were advanced age, APACHE II score, first 24-hour GCS score, number of brain injuries and chest trauma.

1) Describe clinically significant symptoms over 4 years following hospitalization after mild traumatic brain injury (mTBI); 2) examine quality of life (QoL), social participation, and healthcare service use in relation to symptom burden. Longitudinal cohort study in which 142 adults (ages 18–65) hospitalized following mTBI were assessed 4, 8, 12, 24, 36, and 48 months post-injury. Questionnaires and interviews evaluated fatigue, insomnia, cognitive complaints, anxiety, depression, headaches, dizziness, QoL, social participation, and healthcare service use for mTBI symptoms. The number of clinically significant symptoms (based on validated cutoff scores) was totaled for each participant; QoL, social participation, and healthcare services were examined in relation to the number of symptoms. At each timepoint, ≥45% of the participants experienced 3+ symptoms and ≥15% experienced 5+. The mean number of symptoms was similar over time (2.48–2.79; p = 0.32). The presence of 3+ symptoms was associated with poor QoL and social participation, including lower rates of return-to-work. Healthcare service use was not universal, even among individuals with 5+ symptoms. Clinicians should be alert to the long-term presence of multiple symptoms following hospitalization after mTBI, as these affect a significant proportion of individuals and are associated with poorer outcomes.

This data set was extracted from the DRG data set of the German Federal Bureau of Statistics. It contains aggregated data on diagnoses and procedures of all cases with primary or secondary diagnosis of traumatic brain injury between 2014 and 2018 that occurred in patients < 18 years. Person time was calculated from the German mid-year-populations of the corresponding years and is also included in the data set.

Rates of TBI-related Emergency Department Visits, Hospitalizations, and Deaths by Sex - United States, 2001 – 2010

  Description

Overall rates of TBI climbed slowly from 2001 through 2007, then spiked sharply in 2008 and continued to climb through 2010. The increase in TBI rates in 2008 was much sharper for men (nearly 40% increase) than for women (20% increase). In 2007, overall rates of TBI were 26% higher in men compared to women. In 2008, that gap began to widen… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/rates-of-tbi-related-emergency-department-visits-h.

Overall rates of TBI climbed slowly from 2001 through 2007, then spiked sharply in 2008 and continued to climb through 2010. The increase in TBI rates in 2008 was much sharper for men (nearly 40% increase) than for women (20% increase). In 2007, overall rates of TBI were 26% higher in men compared to women. In 2008, that gap began to widen, reaching 61% in 2009 before narrowing to 29% in 2010. Rates of overall TBI are largely driven by rates of TBI-related ED visits.

This dataset tracks the updates made on the dataset "Rates of TBI-related Emergency Department Visits, Hospitalizations, and Deaths by Sex - United States, 2001 – 2010" as a repository for previous versions of the data and metadata.

IntroductionDual diagnosis (DD) with traumatic brain injury (TBI) and spinal cord injury (SCI) poses clinical and rehabilitation challenges. While comorbid TBI is common among adults with SCI, little is known about the epidemiology in the pediatric population. The primary objective of this study was to evaluate the prevalence of TBI among children in the United States hospitalized with SCI. Secondary objectives were to compare children hospitalized with DD with those with isolated SCI with regards to age, gender, race, hospital length of stay, and hospital charges.MethodsA retrospective analysis of hospital discharges among children aged 0–18 years occurring between 2016–2018 from U.S. hospitals participating in the Kids’ Inpatient Database. ICD-10 codes were used to identify cases of SCI, which were then categorized by the presence or absence of comorbid TBI.Results38.8% of children hospitalized with SCI had a co-occurring TBI. While DD disproportionately occurred among male children (67% of cases), when compared with children with isolated SCI, those with DD were not significantly more likely to be male. They were more likely to be Caucasian. The mean age of children with DD (13.2 ± 5.6 years) was significantly less than that of children with isolated SCI (14.4 ± 4.3 years). DD was associated with longer average lengths of stay (6 versus 4 days) and increased mean total hospital charges ($124,198 versus $98,089) when compared to isolated SCI.ConclusionComorbid TBI is prevalent among U.S. children hospitalized with SCI. Future research is needed to better delineate the impact of DD on mortality, quality of life, and functional outcomes.

This dataset tracks the updates made on the dataset "Rates of TBI-related Emergency Department Visits, Hospitalizations, and Deaths - United States, 2001 – 2010" as a repository for previous versions of the data and metadata.

IntroductionIn this study, we aimed to examine the use of inpatient rehabilitation services among individuals who experienced a traumatic brain injury (TBI) in 2017, before the establishment of the specialized rehabilitation hospital system.MethodsWe analyzed healthcare resource utilization among patients hospitalized with TBI at acute care hospitals in 2017. Data were obtained from the National Health Insurance Service-Nationwide Health Insurance Database of South Korea. For patients who received inpatient rehabilitation, the length of stay (LOS) over the 2 years following their initial hospital admission was analyzed. Negative binomial regression was used to identify factors influencing LOS.ResultsPatients who received inpatient rehabilitation were hospitalized for a mean of 145.2 days during the follow-up period [median: (Q1–Q3): 35 (16–141) days]. LOS was shorter in tertiary hospitals, general hospitals, primary hospitals, and clinics than in long-term care hospitals (LTCHs) (all p 

Background: Various reports have suggested that epidemiological patterns of Traumatic Brain Injury (TBI) are changing in high-income countries, but the evidence to support this is often indirect and only a few longitudinal studies exist. We aimed to explore epidemiological patterns of TBI in Belgium over a 10-year period. Methods: A retrospective analysis of Minimum Hospital Data provided by Statistics Belgium was performed for the period 2003-2012. ICD-9 classification was used to identify TBI and to differentiate subtypes. The annual incidence of hospital admissions and in-hospital mortality rates were calculated and further differentiated for age, gender and cause of injury. Results: The age-adjusted incidence of hospital admissions decreased by 3.6% per year. An increase in the number of elderly patients with TBI and a decrease in the younger age groups were found. Falls now represent the main cause of TBI. A mortality rate of 6.5 per 100,000 population per year was found and did not change significantly over time. Conclusions: This longitudinal study confirms that epidemiological patterns in TBI are changing: overall incidence is steadily decreasing, but in elderly patients, the incidence is increasing. Falls are the leading cause, occurring most frequently in elderly patients. These changes are relevant for prevention.

BackgroundPrevious epidemiological studies suggest that working-aged persons with a history of moderate-to-severe traumatic brain injury (TBI) may have an increased risk for developing neurodegenerative disease (NDD) while persons with a history of mild TBI do not. In this comprehensive nationwide study in Finland, we assessed the risk of NDD and history of moderate-to-severe TBI in the working-age population.Methods and findingsWe performed a population-based follow-up study using the Finnish Care Register for Health Care to identify all persons between the ages of 18 and 65 years hospitalized during 1987–2014 due to TBI who did not have a baseline NDD diagnosis. We compared the risk of hospitalization with NDD between persons hospitalized due to moderate-to-severe TBI (intracranial lesions) and persons hospitalized due to mild TBI (no intracranial lesions). Follow-up NDD diagnoses were recorded from 1 year following the TBI to the end of 2014. NDD diagnoses included dementia, Parkinson disease, and amyotrophic lateral sclerosis. We used a Cox proportional hazards model, adjusting for age, sex, education, and socioeconomic group, to assess the association between TBI and NDD. In total, 19,936 and 20,703 persons with a history of moderate-to-severe TBI and mild TBI, respectively, were included. The overall time at risk was 453,079 person-years (median 10 years per person). In total, 3.5% (N = 696) persons in the moderate-to-severe TBI group developed NDD compared to 1.6% (N = 326) in the mild TBI group. After adjusting for covariates, moderate-to-severe TBI was associated with an increased risk for NDD, with a hazard ratio (HR) of 1.8 (95% CI 1.6–2.1) compared to mild TBI. Of the NDD subtypes, only moderate-to-severe TBI was associated with an increased risk for dementia (HR 1.9, 95% CI 1.6–2.2). Yet, this large-scale epidemiological study does not prove that there is a causal relationship between moderate-to-severe TBI and NDD. Further, the Care Register for Health Care includes only hospitalized persons; thus, patients diagnosed with NDD in the outpatient setting may have been missed. Additional limitations include the potential for miscoding and unmeasured confounds.ConclusionsIn working-aged persons, a history of moderate-to-severe TBI is associated with an increased risk for future dementia but not for Parkinson disease or amyotrophic lateral sclerosis.

This report examines the co-diagnosis of anoxic brain injury, that is, a diagnosis received for anoxic brain injury during the same hospital stay for the opioid poisoning.