National Sample Program Research Articles

Estimating Bycatch From Non-representative Samples (II): A Case Study of Pair Trawlers and Common Dolphins in the Bay of Biscay

Marine megafauna plays an important functional role in marine ecosystems as top predators but are threatened by a wide range of anthropogenic activities. Bycatch, the incidental capture of non-targeted species in commercial and recreational fisheries, is of particular concern for small cetacean species, such as dolphins and porpoises. In the North-East Atlantic, common dolphin (Delphinus delphis, Linné 1758) bycatch has been increasing and associated with large numbers of animals stranding during winter on the French Atlantic seashore since at least 2017. However, uncertainties around the true magnitude of common dolphin bycatch and the fisheries involved have led to delays in the implementation of mitigation measures. Current data collection on dolphin bycatch in France is with non-dedicated observers deployed on vessels for the purpose of national fisheries sampling programmes. These data cannot be assumed representative of the whole fisheries' bycatch events. This feature makes it difficult to use classic ratio estimators since they require a truly randomised sample of the fishery by dedicated observers. We applied a newly developed approach, regularised multilevel regression with post-stratification, to estimate total bycatch from unrepresentative samples and total fishing effort. The latter is needed for post-stratification and the former is analysed in a Bayesian framework with multilevel regression to regularise and better predict bycatch risk. We estimated the number of bycaught dolphins for each week and 10 International Council for the Exploration of the Sea (ICES) divisions from 2004 to 2020 by estimating jointly bycatch risk, haul duration, and the number of hauls per days at sea (DaS). Bycatch risk in pair trawlers flying the French flag was the highest in winter 2017 and 2019 and was associated with the longest haul durations. ICES divisions 8.a and 8.b (shelf part of the Bay of Biscay) were estimated to have the highest common dolphin bycatch. Our results were consistent with independent estimates of common dolphin bycatch from strandings. Our method show cases how non-representative observer data can nevertheless be analysed to estimate fishing duration, bycatch risk and, ultimately, the number of bycaught dolphins. These weekly-estimates improve upon current knowledge of the nature of common dolphin bycatch and can be used to inform management and policy decisions at a finer spatio-temporal scale than has been possible to date. Our results suggest that limiting haul duration, especially in winter, could serve as an effective mitigation strategy.

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

Traumatic brain injury (TBI) is a leading cause of morbidity and mortality in the US, but the true incidence of TBI is unknown. The 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. In 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. The 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.

Admissible dissimilarity value (ADV) as a measure of subsampling reliability: case study North Sea cod (Gadus morhua)

The shape of the length frequency distribution (LFD) is an important input for stock assessments and one of the most important features in studies of fish population dynamics, providing estimates of growth parameters. In practice, oversampling may occur when sampling commercially important species. At times of more and more limited resources, the length sample size can be optimized at some stages of national or regional sampling programmes, without reducing the quality of stock assessments. The main objective of this study is to demonstrate a general distribution-free methodological approach for an optimization of sample size developed as an alternative to both analytical and bootstrap approaches. A novel framework to identify the reduced but still informative sample and to quantify the (dis) similarity between reduced and original samples is proposed. The identification procedure is based on the concept of reference subsample, which represents a theoretical minimal representative subsample that despite smaller sample size still preserves a reasonably precise LFD for certain species. The difference between the original sample and the reference subsample called admissible dissimilarity value (ADV) serves as the upper threshold and can be used to quantify the reliability of derived subsamples. Monte Carlo simulations were conducted to validate the approach under various LFD shapes. We illustrate in case studies how ADV can support to evaluate adequate sampling effort. The case studies focus on length samples from the German commercial vessels fishing for North Sea cod (Gadus morhua).

Variability in Current Trauma Systems and Outcomes.

Background:Complication rates may be indicative of trauma center (TC) performance. The complication rates between Level 1 and 2 TCs at the national level are unknown. Our study aimed to determine the relationship between American College of Surgeons (ACS)-verified and state-designated TCs and complications.Study Design and Methods:This was a cohort review of the National Sample Program (NSP) from the National Trauma Data Bank, the world's largest validated trauma database. TCs were categorized by ACS or state Level 1 or 2. TCs not categorized as Level 1 or 2 were excluded. All 22 complications provided by the NSP were analyzed. Chi-squared analysis was used with statistical significance defined as P < 0.05.Results:Of the 94 TCs in the NSP, 67 had ACS and 80 had state designations of Level 1 or 2. There were 38 ACS Level 1 TCs treating 87,340 patients and 29 ACS Level 2 TCs treating 35,763. There were 45 state Level 1 TCs treating 106,640 and 35 state Level 2 TCs treating 43,290. ACS Level 1 TCs had significantly higher complications compared to ACS Level 2 TCs (13.5% [11,776/87,340] vs. 10.1% [3,606/35,763], P < 0.0001). In addition, state Level 1 TCs had significantly more complications compared to state Level 2 TCs (4.4% [4,681/106,640] vs. 1.6% [673/43,290], P < 0.0001).Conclusion:Both ACS and state Level 2 TCs had significantly lower complication rates than ACS and state Level 1 TCs. Further investigations should look for the source and impact of this difference.

Pediatric firearm-related traumatic brain injury in United States trauma centers.

Pediatric firearm injury is a leading cause of death and disability in the youth of the United States. The epidemiology of and outcomes following gunshot wounds to the head (GSWHs) are in need of systematic characterization. Here, the authors analyzed pediatric GSWHs from a population-based sample to identify predictors of prolonged hospitalization, morbidity, and death. All patients younger than 18 years of age and diagnosed with a GSWH in the National Sample Program (NSP) of the National Trauma Data Bank (NTDB) in 2003-2012 were eligible for inclusion in this study. Variables of interest included injury intent, firearm type, site of incident, age, sex, race, health insurance, geographic region, trauma center level, isolated traumatic brain injury (TBI), hypotension in the emergency department, Glasgow Coma Scale (GCS) score, and Injury Severity Score (ISS). Risk predictors for a prolonged hospital stay, morbidity, and mortality were identified. Odds ratios, mean increases or decreases (B), and 95% confidence intervals were reported. Statistical significance was assessed at α < 0.001 accounting for multiple comparisons. In a weighted sample of 2847 pediatric patients with GSWHs, the mean age was 14.8 ± 3.3 years, 79.2% were male, and 59.0% had severe TBI (GCS score 3-8). The mechanism of assault (63.0%), the handgun as firearm (45.6%), and an injury incurred in a residential area (40.6%) were most common. The mean hospital length of stay was 11.6 ± 14.4 days for the survivors, for whom suicide injuries involved longer hospitalizations (B = 5.9-day increase, 95% CI 3.3-8.6, p < 0.001) relative to those for accidental injuries. Mortality was 45.1% overall but was greater with injury due to suicidal intent (mortality 71.5%, p < 0.001) or caused by a shotgun (mortality 56.5%, p < 0.001). Lower GCS scores, higher ISSs, and emergency room hypotension predicted poorer outcomes. Patients with private insurance had lower mortality odds than those with Medicare/Medicaid (OR 2.4, 95% CI 1.7-3.4, p < 0.001) or government insurance (OR 3.6, 95% CI 2.2-5.8, p < 0.001). Management at level II centers, compared to level I, was associated with lower odds of returning home (OR 0.3, 95% CI 0.2-0.5, p < 0.001). From 2003 to 2012, with regard to pediatric TBI hospitalizations due to GSWHs, their proportion remained stable, those caused by accidental injuries decreased, and those attributable to suicide increased. Overall mortality was 45%. Hypotension, cranial and overall injury severity, and suicidal intent were associated with poor prognoses. Patients treated at level II trauma centers had lower odds of being discharged home. Given the spectrum of risk factors that predispose children to GSWHs, emphasis on screening, parental education, and standardization of critical care management is needed to improve outcomes.

Pediatric Firearm-Related Traumatic Brain Injury in United States Trauma Centers

Abstract INTRODUCTION Firearm injury is a leading cause of death and disability in the American youth. Epidemiology and outcomes following gunshot wound to the head (GSWH) are in need of systematic characterization. Here, we analyzed pediatric GSWH to identify predictors of prolonged hospitalization, morbidity and mortality. METHODS All patients &lt; 18 yr with GSWH in the National Sample Program (NSP) of the National Trauma Data Bank (NTDB) from 2003 to 2012 were identified. Variables included injury intent, firearm choice, injury site, age, sex, race, health insurance, geographic region, trauma center level, isolated TBI, emergency department (ED) hypotension, Glasgow Coma Scale (GCS), and Injury Severity Score (ISS). Outcomes were hospital length of stay (HLOS), morbidity and mortality. Odds ratios (OR), mean increase/decrease (B), and 95% confidence intervals (CI) were reported. Statistical significance was assessed at a &lt; 0.001 accounting for multiple comparisons. RESULTS In a weighted sample of 2847 pediatric GSWHs, age was 14.8 ± 3.3 yr, 79.2% were male, and 59.0% had severe traumatic brain injury (TBI; Glasgow Coma Scale [GCS] score 3-8). Assault (63.0%), handgun as firearm (45.6%), and injury in residential areas (40.6%) were most common. HLOS was 11.6 ± 14.4 d for the survivors, for which suicide injuries had longer hospitalization (B = 5.9 day increase, 95% CI [3.3-8.6], P &lt; .001) relative to accidents. The overall mortality was 45.1%, and was greater with suicide intent (mortality = 71.5%, P &lt; .001) and shotgun as firearm (mortality = 56.5%, P &lt; .001). Lower GCS, higher ISS, and hypotension predicted poorer outcomes. Management at level II centers was associated with lower odds of returning home (OR = 0.3, [0.2-0.5], P &lt; .001). CONCLUSION From 2003 to 2012, the proportion of accidental injuries decreased while suicides increased. The overall mortality was 45%, with hypotension, cranial and overall injury severity, and suicide intent being associated with poor prognosis. Patients treated at level II trauma centers had lower odds of being discharged home. Improved risk screening, parental education and standardization of critical care management are needed.

The impact of teaching status on trauma center clinical outcomes in the United States.

Teaching status/academic ranking may play a role in the variations in trauma center (TC) outcomes. Our study aimed to determine the relationship between TC teaching status and injury-adjusted, all-cause mortality in a national sampling.Retrospective review of the National Sample Program (NSP) from the National Trauma Data bank (NTDB). TCs were categorized based on teaching status. Adjusted mortality was determined by observed/expected (O/E) mortality ratios, derived using TRauma Injury Severity Score methodology from the Injury Severity Score and Revised Trauma Score. Chi-square and t test analyses were utilized with a statistical significance defined as P <.05.Of the 94 TCs in the NSP, 46 were university, 38 were community teaching, and 10 were community nonteaching. For the University TCs, 62.8% were American College of Surgeons (ACS) level 1 and 81.2% state level 1. Of the community teaching TCs, 39.0% was ACS level 1 and 35.1% was state level 1. Of the community nonteaching TCs, 0% was ACS level 1 and 11.1% was state level 1. University TCs had a significantly higher O/E mortality rate than community teaching (0.75 vs 0.71; P = .04). There were no differences in O/E between community teaching and nonteaching TCs (0.71 vs 0.70; P = .70).Community teaching and nonteaching TCs have lower injury-adjusted, all-cause mortality rates than University Centers. Future studies should further investigate key differences between University TCs and community teaching TC to evaluate possible quality and performance improvement measures.

The impact of level of the American College of Surgeons Committee on Trauma verification and state designation status on trauma center outcomes.

The American College of Surgeons (ACS) Committee on Trauma (COT) verification and State designation of trauma centers (TCs) into Level 1 or 2 establishes a distinction based on resources, trauma volume, and educational commitment. The ACS COT and individual states each verify TCs to differentiate performance levels. We aim to determine the relationship between ACS and State Level 1 versus 2, and injury-adjusted, all-cause mortality in a national sampling.TCs were identified by review of the National Sample Program (NSP) from the National Trauma Data Bank (NTDB)—the largest validated trauma database in the nation—of the year 2013. TCs were categorized by ACS or State Level 1 or 2 status, all others were excluded. Adjusted mortality was determined using observed/expected mortality (O/E) ratios, derived by trauma and injury severity score (TRISS) methodology. Chi-squared and t test analyses were used for categorical variables, with a statistical significance defined as P-value <.05.Of the 94 TCs in the NSP, 67 had ACS and 80 had State designations. There were 38 ACS Level 1 TCs and 29 ACS Level 2. For State designations, there were 45 as State Level 1 and 35 State Level 2. ACS Level 1 TCs had a similar O/E compared with ACS Level 2 verified centers (0.73 vs 0.75, chi-square, P = .36). Level 1 TCs designated by their state, had a similar O/E compared with State Level 2 centers (0.70 vs 0.74, chi-square, P = .08).Both ACS and State Level 1 and 2 trauma centers performed similarly on injury adjusted, all-cause mortality.

Is it time to measure complications from the National Trauma Data Bank? A longitudinal analysis of recent reporting trends.

Payers have approached select complications as never events, yet there is rationale that achieving a zero incidence of these events is impractical. Prior 2005 National Trauma Data Bank (NTDB) analysis showed high rates (37%) of centers reporting no complications data making national estimates for determining standardized complication rates difficult to ascertain. The 2008-2012 NTDB National Sample Program nationally weighted files were used to calculate yearly national estimates. Rates were compared in all centers and those reporting complications data. Hospital characteristics were compared using Student t test. In 2011, an other complication category was introduced; overall rates were calculated with and without this category. Yearly estimates were reported for patients receiving care within centers reporting complications data. From 2008-2012 NTDB, there were raw data on 3,657,884 patients. A total of 594,894 patients (16.3%) experienced one or more complications (82.7% one complication; 17.3% two or more complications). Excluding the other complication category, the overall weighted rate was 8.4% to 9.2%. Pneumonia was the most common complication (2.7-3.0%), occurring at twice the 2005 rate. The number of centers reporting no complications data dropped to 8.1% in 2011 (2008, 14.5%; 2009, 18.2%; 2010, 15.9%; 2012, 8.9%). By 2012, nearly all level I centers reported complications, whereas 46.4% of level IVs reported none (I 0.5%, II 2.7%, III 8.5%, p = 0.04). Data were reported the least frequently in nonteaching hospitals (15.8%, p = 0.007), those in the South (19.6%, p = 0.007), and those with less than 200 beds (23.6%, p = 0.005). Overall rates of complications from 2008 to 2012 were nearly twofold higher than 2005 data. Reporting has increased, and NTDB may provide a valuable platform for establishing rational and achievable measures for specific complications. Prognostic and epidemiological, level IV.

Adult Firearm-Related Traumatic Brain Injury in United States Trauma Centers.

Civilian firearm injury is an important public health concern in the United States. Gunshot wounds to the head (GSWH) remain in need of update and systematic characterization. We identify predictors of prolonged hospital length of stay (HLOS), intensive care unit length of stay (ICU LOS), medical complications, mortality, and discharge disposition from a population-based sample using the National Sample Program (NSP) of the National Trauma Data Bank (NTDB), years 2003-2012. Statistical significance was assessed at α < 0.001 to correct for multiple comparisons. In total, 8148 adult GSWH patients were included extrapolating to 32,439 national incidents. Age was 36.6 ± 16.4 years and 64.4% were severe traumatic brain injury (TBI; Glasgow Coma Scale [GCS] score 3-8). Assault (49.2%), handgun (50.3%), and residential injury (43.2%) were of highest incidence. HLOS and ICU LOS were 7.7 ± 14.2 and 5.7 ± 13.4 days, respectively. Overall mortality was 54.6%; suicide/self-injury was associated with the highest mortality rate (71.6%). GCS, Injury Severity Score, and hypotension were significant predictors for outcomes overall. Medicare/Medicaid patients had longer HLOS compared to private/commercial insured (mean increase, 4.4 days; 95% confidence interval [2.6-6.3]). Compared to the Midwest, the South had longer HLOS (mean increase, 3.7 days; [2.0-5.4]) and higher odds of complications (odds ratio [OR], 1.7 [1.4-2.0]); the West had lower odds of complications (OR, 0.6; [0.5-0.7]). Versus handgun, shotgun (OR, 0.3; [0.2-0.4]) and hunting rifle (OR, 0.5; [0.4-0.8]) resulted in lower mortality. Patients with government/other insurance had higher odds of discharging home compared to private/commercially insured (OR, 1.7; [1.3-2.3]). In comparison to level I trauma centers, level II trauma centers had lower odds of discharge to home (OR, 0.7; [0.5-0.8]). Our results support hypotension, injury severity, injury intent, firearm type, and U.S. geographical location as important prognostic variables in firearm-related TBI. Improved understanding of civilian GSWH is critical to promoting increased awareness of firearm injuries as a public health concern and reducing its debilitating injury burden to patients, families, and healthcare systems.

The Impact of Trauma Center Volume on Observed/Expected Mortality: Does Size Matter?

Relationship between trauma center patient volume (TCV) and mortality remains inconclusive. Our aim was to determine the relationship between TCVs and observed/expected (O/E) all-cause mortality. This is the first study to evaluate the relationship between trauma center (TC) volumes and O/E all-cause mortality with no exclusion. Review of prospectively collected data from 94 TCs using the National Sample Program from the National Trauma Data Bank 2013. TCs were stratified into five groups based on TCV: <701, 701 to 1200, 1201 to 1700, 1701 to 2200, and >2200 yearly patient encounters. Chi-square and coefficient of determination were used for data analysis with a statistical significance defined as P-value < 0.05. A total of 139,324 trauma patients with blunt and penetrating injuries were evaluated from the National Sample Program. Of which, 63.6 per cent were male, 70.6 per cent white, and the average age was 41 years. The data were stratified by TCV into five groups with average O/Es ranging from 0.69 to 0.86 (P > 0.05). The coefficient of determination between TCV and O/E was r = 0.14 and r2 = 0.02. When controlling for Injury Severity Score, the correlation between mechanism of injury (blunt vs penetrating) and O/E mortality was r = -0.025. The group with the lowest average volumes had statistically significantly worse outcomes than the group with next higher volumes and also worse than the group with the highest volumes (Group 5, P = 0.04). Higher TC volumes correlated with higher injury severity and lower O/E mortality.

Predictors of 30-Day Outcomes in Octogenarians with Traumatic C2 Fractures Undergoing Surgery

Predictors of surgical outcomes following traumatic axis (C2) fractures in octogenarians remain undercharacterized. Patients age ≥80 years undergoing cervical spine surgery following traumatic C2 fractures were extracted from the National Sample Program of the National Trauma Data Bank (2003-2012). Outcomes include overall inpatient complications, individual complications with an incidence >1%, hospital length of stay (HLOS), discharge disposition, and mortality. Demographics, comorbidities, and injury predictors were analyzed using multivariable regression. Odds ratios (OR), mean differences, and 95% confidence intervals (CIs) were calculated. Statistical significance was assessed at P < 0.05. The cohort of 442 patients was 48.6% male and had a mean age of 84.3 ± 2.7 years. The distribution of admissions was 42.3% to the hospital floor, 40.3% to the intensive care unit (ICU), 7.7% to telemetry, 2.0% to the operating room, and 7.7% to other/unknown. Mortality was 9.7%, mean HLOS was 13.1 ± 9.2 days, the rate of complications was 38.5%, and 81.5% of survivors were discharged to a nonhome facility. Injury severity was predictive of mortality and overall complications. History of bleeding disorder/coagulopathy predicted mortality (OR, 4.02; 95% CI, 1.07-15.05), overall complications (OR, 3.01; 95% CI, 1.09-8.32), cardiac arrest (OR, 8.19; 95% CI, 1.06-63.54), and renal complications (OR, 10.36; 95% CI, 2.13-50.38). History of congestive heart failure predicted mortality (OR, 3.10; 95% CI, 1.10-8.69). ICU admission (vs. floor) predicted overall complications (OR, 2.01; 95% CI, 1.23-3.27) and pneumonia (OR, 4.65; 95% CI, 1.91-11.30). Telemetry admission (vs. floor) predicted unplanned intubation (OR, 7.76; 95% CI, 1.24-48.49). In this cohort of octogenarians undergoing surgery for traumatic C2 fracture, injury severity and a history of bleeding disorder/coagulopathy were identified as risk factors for inpatient complications and mortality. Heightened surveillance should be considered for ICU and/or telemetry admissions for the development of complications. These findings warrant consideration by the clinician, patient, and family to inform clinical decisions and goals of care.

Delayed endovascular aortic repair is associated with reduced in-hospital mortality in patients with blunt thoracic aortic injury

ObjectiveThe traditional approach to stable blunt thoracic aortic injury (BTAI) endorsed by the Society for Vascular Surgery is early (<24 hours) thoracic endovascular aortic repair (TEVAR). Recently, some studies have shown improved mortality in stable BTAI patients repaired in a delayed manner (≥24 hours). However, the indications for use of delayed TEVAR for BTAI are not well characterized, and its overall impact on the patient's survival remains poorly understood. We sought to determine whether delayed TEVAR is associated with a decrease in mortality compared with early TEVAR in this population. MethodsWe conducted a retrospective cohort study of adult patients with BTAI (International Classification of Diseases, Ninth Revision diagnosis code 901.0) who underwent TEVAR (International Classification of Diseases, Ninth Revision procedure code 39.73) from 2009 to 2013 using the National Sample Program data set. Missing physiologic data were imputed using chained multiple imputation. Patients were parsed into groups based on the timing of TEVAR (early, <24 hours, vs delayed, ≥24 hours). The χ2, Mann-Whitney, and Fisher exact tests were used to compare baseline characteristics and outcomes of interest between groups. Multivariable logistic regression for mortality was performed that included all variables significant at P ≤ .2 in univariate analyses. ResultsA total of 2045 adult patients with BTAI were identified, of whom 534 (26%) underwent TEVAR. Patients with missing data on TEVAR timing were excluded (n = 27), leaving a total of 507 patients for analysis (75% male; 69% white; median age, 40 years [interquartile range, 27-56 years]; median Injury Severity Score [ISS], 34 [interquartile range, 26-41]). Of these, 378 patients underwent early TEVAR and 129 underwent delayed TEVAR. The two groups were similar with regard to age, sex, race, ISS, and presenting physiology. Mortality was 11.9% in the early TEVAR group vs 5.4% in the delayed group, with the early group displaying a higher odds of death (odds ratio, 2.36; 95% confidence interval, 1.03-5.36; P = .042). After adjustment for age, ISS, and admission physiology, the association between early TEVAR and mortality was preserved (adjusted odds ratio, 2.39; 95% confidence interval, 1.01-5.67; P = .047). ConclusionsConsistent with current Society for Vascular Surgery recommendations, more BTAI patients underwent early TEVAR than delayed TEVAR during the study period. However, delayed TEVAR was associated with significantly reduced mortality in this population. Together, these findings support a need for critical appraisal and clarification of existing practice guidelines in management of BTAI. Future studies should seek to understand this survival disparity and to determine optimal selection of patients for early vs delayed TEVAR.

Classification of traumatic brain injury severity using retrospective data

Objective: Accurate classification of traumatic brain injury (TBI) severity is essential to brain injury research. TBI heterogeneity complicates classification of the injury; is a significant barrier in the design of therapeutic interventions; and results in retrospective data which is difficult to translate. The objective of this study is to describe the differences in two current tools used in the classification of TBI severity, the Glasgow Coma Scale (GCS) and the head Abbreviated Injury Score (AIS), using retrospective data to compare their performance.Methods: Using correlational and descriptive statistics, this study examined two TBI severity classification methods across a large sample of TBI patients (N = 56,131), who were treated at level I and level II trauma centers in the United States and were included in the 2010 National Sample Program (NSP) of the National Trauma Data Bank (NTDB®).Results: The study population was 67% male, 67% non-Hispanic white, treated most often in trauma centers in the South (38%), with blunt trauma (93%) and from non-motor vehicle collisions (MVC’s) (56%). Observation of the AIS classification system demonstrated that it tends to over-score TBI severity compared to the GCS classification. The methods (GCS &amp; AIS) had a weak, inverse relationship with a correlation coefficient (Pearson’s r) of -0.3980, which was significant at p &lt; .001.Conclusions: The current study addressed the difficulties associated with categorizing TBI severity when analyzing retrospective data. Although AIS is commonly used to classify severity in retrospective data when GCS is unavailable, the relationship between the two scales is relatively unknown. Results show that AIS and GCS are more closely related for severely brain injured patients but in cases of mild and moderate injury, AIS is less predictive of GCS. Since they are often used in conjunction in identifying brain injured severity in retrospective data, researchers cannot be certain that the tools are similarly classifying mild, moderate, and severe injuries. This study reinforces the need for additional TBI severity classification methods, such as neuroimaging techniques and biomarkers.

Morbidity and Mortality Associated with Surgery of Traumatic C2 Fractures in Octogenarians.

Management of axis fractures in the elderly remains controversial. As the US population increasingly lives past 80 years, published C2 fracture morbidity/mortality profiles in younger cohorts (55+) have become less applicable to octogenarians. To report associations between surgery and mortality, hospital length of stay and discharge disposition in octogenarians with traumatic C2 fractures. Retrospective cohort study of 3847 patients age ≥ 80 years representing 17 702 incidents nationwide, divided into surgery/nonsurgery cohorts, using the National Sample Program of the National Trauma Data Bank from 2003 to 2012. Inpatient complications, mortality, length of stay, and discharge disposition are characterized; multivariable regression was utilized to determine associations between surgery and outcomes. The National Sample Program dataset from the National Trauma Data Bank is fully deidentified and does not contain Health Insurance Portability and Accountability Act identifiers; therefore, this study is exempt from IRB review at the University of California, San Francisco. Incidence of surgery was 10.3%. Surgery was associated with increased pneumonia, acute respiratory distress syndrome, and decubitus ulcer risks ( P < .001). Inpatient mortality was 12.8% (nonsurgery-13.0%; surgery-10.3%; P = .120). Length of stay was 8.31 ± 9.32 days (nonsurgery 7.78 ± 9.21; surgery 12.86 ± 9.07; P < .001) and showed an adjusted mean increase of 5.68 days with surgery (95% confidence interval [4.74-6.61]). Of patients surviving to discharge, 26% returned home (nonsurgery-26.8%; surgery-18.8%; P = .001); surgery patients were less likely to return home (odds ratio 0.59 [0.44-0.78]). The present study confirms that surgery of traumatic C2 fractures in octogenarians does not significantly affect inpatient mortality and increases discharge to institutionalized care. Patients undergoing surgery are more likely to require longer hospitalization and suffer increased medical complications during their stay. Given the retrospective nature of this study, it is unclear whether these conclusions reflect differences in injury severity between surgery cohorts. This question may be considered in a future prospective study.

Predictors of Inpatient Mortality and Systemic Complications in Acetabular Fractures Requiring Operative Treatment.

Patient demographics, physiologic variables, and injury characteristics predictive of mortality and major systemic complications following operative fixation of acetabulum fractures were identified using the National Sample Program of the National Trauma Data Bank. Age older than 60 years, obesity, and Injury Severity Score greater than 15 portended a statistically significant increase in mortality and major systemic complications (P≤.05). Systolic blood pressure less than 90 mm Hg and Glasgow Coma Scale score less than 8 were also significant predictors of mortality and major systemic complications (P<.0001). Time to surgery and hospital length of stay did not affect mortality. The most common potentially modifiable risk factors were smoking (22.3%) and obesity (body mass index ≥30 kg/m2) (9.1%). Increasing age, Injury Severity Score, and obesity independently predicted a statistically significant increase in both mortality and major systemic complications. A better understanding of the associated risk factors and unique complication profile will provide orthopedic surgeons with a basis on which to effectively counsel and care for patients. [Orthopedics. 2017; 40(2):e223-e228.].

Circadian variability of the initial Glasgow Coma Scale score in traumatic brain injury patients

IntroductionThe Glasgow Coma Scale (GCS) score is the primary method of assessing consciousness after traumatic brain injury (TBI), and the clinical standard for classifying TBI severity. There is scant literature discerning the influence of circadian rhythms or emergency department (ED) arrival hour on this important clinical tool. MethodsRetrospective cohort analysis of adult patients suffering blunt TBI using the National Sample Program of the National Trauma Data Bank, years 2003–2006. ED arrival GCS score was characterized by midday (10a.m.–4p.m.) and midnight (12a.m.–6a.m.) cohorts (N=24548). Proportions and standard errors are reported for descriptive data. Multivariable regressions using odds ratios (OR), mean differences (B), and their associated 95% confidence intervals [CI] were performed to assess associations between ED arrival hour and GCS score. Statistical significance was assessed at p<0.05. ResultsPatients were 42.48±0.13-years-old and 69.5% male. GCS score was 12.68±0.13 (77.2% mild, 5.2% moderate, 17.6% severe-TBI). Overall, patients were injured primarily via motor vehicle accidents (52.2%) and falls (24.2%), and 85.7% were admitted to hospital (33.5% ICU). Injury severity score did not differ between day and nighttime admissions.Nighttime admissions associated with decreased systemic comorbidities (p<0.001) and increased likelihood of alcohol abuse and drug intoxication (p<0.001). GCS score demonstrated circadian rhythmicity with peak at 12p.m. (13.03±0.08) and nadir at 4am (12.12±0.12). Midnight patients demonstrated lower GCS (12a.m.–6a.m.: 12.23±0.04; 10a.m.–4p.m.: 12.95±0.03, p<0.001). Multivariable regression adjusted for demographic and injury factors confirmed that midnight-hours independently associated with decreased GCS (B=−0.29 [−0.40, −0.19]).In patients who did not die in ED or go directly to surgery (N=21862), midnight-hours (multivariable OR 1.73 [1.30–2.31]) associated with increased likelihood of ICU admission; increasing GCS score (per-unit OR 0.82 [0.80–0.83]) associated with decreased odds. Notably, the interaction factor ED GCS score*ED arrival hour independently demonstrated OR 0.96 [0.94–0.98], suggesting that the influence of GCS score on ICU admission odds is less important at night than during the day. ConclusionsNighttime TBI patients present with decreased GCS scores and are admitted to ICU at higher rates, yet have fewer prior comorbidities and similar systemic injuries. The interaction between nighttime hours and decreased GCS score on ICU admissions has important implications for clinical assessment/triage.

Trends in helmet use by motorcycle riders in the decades following the repeal of mandatory helmet laws

Several US states repealed universal motorcycle helmet laws in the 1990s and 2000s. The purpose of this study was to examine national trends in helmet use among adult trauma patients with motorcycle-related injuries. We hypothesized that motorcycle helmet use declined over time. We retrospectively analyzed the National Trauma Data Bank's National Sample Program for 2003–2010. We also obtained data on US motorcycle fatalities reported in the Fatality Analysis Reporting System and population data from the U.S. Census Bureau to calculate motorcycle-related fatality rates over time. A total of 255,914 patients met inclusion criteria, of whom 148,524 (58%) were helmeted. During the study period, helmet use increased from 56% in 2003 to 60% in 2010 (p < 0.001). However, motorcycle-related fatality rates also increased in states with and without universal helmet laws. Nationally, rates of helmet use have increased. However, fatalities due to motorcycle crashes have also increased during the same period.

Pediatric sports-related traumatic brain injury in United States trauma centers.

OBJECTIVE Traumatic brain injury (TBI) in children is a significant public health concern estimated to result in over 500,000 emergency department (ED) visits and more than 60,000 hospitalizations in the United States annually. Sports activities are one important mechanism leading to pediatric TBI. In this study, the authors characterize the demographics of sports-related TBI in the pediatric population and identify predictors of prolonged hospitalization and of 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 children (age 0-17 years) across 5 sports 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 length of stay (LOS) in the hospital or intensive care unit (ICU), medical complications, inpatient mortality rates, and hospital discharge disposition. Statistical significance was assessed at α < 0.05, and the Bonferroni correction (set at significance threshold p = 0.01) for multiple comparisons was applied in each outcome analysis. RESULTS From 2003 to 2012, in total 3046 pediatric sports-related TBIs were recorded in the NTDB, and these injuries represented 11,614 incidents nationally after sample weighting. Fall or interpersonal contact events were the greatest contributors to sports-related TBI (47.4%). Mild TBI represented 87.1% of the injuries overall. Mean (± SEM) LOSs in the hospital and ICU were 2.68 ± 0.07 days and 2.73 ± 0.12 days, respectively. The overall mortality rate was 0.8%, and the prevalence of medical complications was 2.1% across all patients. Severities of head and extracranial injuries were significant predictors of prolonged hospital and ICU LOSs, medical complications, failure to discharge to home, and death. Hypotension on admission to the ED was a significant predictor of failure to discharge to home (OR 0.05, 95% CI 0.03-0.07, p < 0.001). Traumatic brain injury incurred during roller sports was independently associated with prolonged hospital LOS compared with FIC events (mean increase 0.54 ± 0.15 days, p < 0.001). CONCLUSIONS In pediatric sports-related TBI, the severities of head and extracranial traumas are important predictors of patients developing acute medical complications, prolonged hospital and ICU LOSs, in-hospital mortality rates, and failure to discharge to home. Acute hypotension after a TBI event decreases the probability of successful discharge to home. Increasing TBI awareness and use of head-protective gear, particularly in high-velocity sports in older age groups, is necessary to prevent pediatric sports-related TBI or to improve outcomes after a TBI.

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

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.