Faculty Bibliography

BACKGROUND: Trauma is a leading cause of death and disability in the United States (US). This analysis describes trends and annual changes in in-hospital trauma morbidity and mortality; evaluates changes in age and gender specific outcomes, diagnoses, causes of injury, injury severity and surgical procedures performed; and examines the role of teaching hospitals and Level 1 trauma centres in the care of severely injured patients. METHODS: We conducted a retrospective descriptive and analytic epidemiologic study of an inpatient database representing 20,659,684 traumatic injury discharges from US hospitals between 2000 and 2011. The main outcomes and measures were survey-adjusted counts, proportions, means, standard errors, and 95% confidence intervals. We plotted time series of yearly data with overlying loess smoothing, created tables of proportions of common injuries and surgical procedures, and conducted survey-adjusted logistic regression analysis for the effect of year on the odds of in-hospital death with control variables for age, gender, weekday vs. weekend admission, trauma-centre status, teaching-hospital status, injury severity and Charlson index score. RESULTS: The mean age of a person discharged from a US hospital with a trauma diagnosis increased from 54.08 (s.e.=0.71) in 2000 to 59.58 (s.e.=0.79) in 2011. Persons age 45-64 were the only age group to experience increasing rates of hospital discharges for trauma. The proportion of trauma discharges with a Charlson Comorbidity Index score greater than or equal to 3 nearly tripled from 0.048 (s.e.=0.0015) of all traumatic injury discharges in 2000 to 0.139 (s.e.=0.005) in 2011. The proportion of patients with traumatic injury classified as severe increased from 22% of all trauma discharges in 2000 (95% CI 21, 24) to 28% in 2011 (95% CI 26, 30). Level 1 trauma centres accounted for approximately 3.3% of hospitals. The proportion of severely injured trauma discharges from Level 1 trauma centres was 39.4% (95% CI 36.8, 42.1). Falls, followed by motor-vehicle crashes, were the most common causes of all injuries. The total cost of trauma-related inpatient care between 2001 and 2011 in the US was $240.7 billion (95% CI 231.0, 250.5). Annual total US inpatient trauma-related hospital costs increased each year between 2001 and 2011, more than doubling from $12.0 billion (95% CI 10.5, 13.4) in 2001 to 29.1 billion (95% CI 25.2, 32.9) in 2011. CONCLUSIONS: Trauma, which has traditionally been viewed as a predicament of the young, is increasingly a disease of the old. The strain of managing the progressively complex and costly care associated with this shift rests with a small number of trauma centres. Optimal care of injured patients requires a reappraisal of the resources required to effectively provide it given a mounting burden.

Alcohol use is a risk factor for severe injury in pedestrians struck by motor vehicles. Our objective was to investigate alcohol use by bicyclists and its effects on riding behaviors, medical management, injury severity, and mortality within a congested urban setting. A hospital-based, observational study of injured bicyclists presenting to a Level I regional trauma center in New York City was conducted. Data were collected prospectively from 2012 to 2014 by interviewing all bicyclists presenting within 24 h of injury and supplemented with medical record review. Variables included demographic characteristics, scene-related data, Glasgow Coma Scale (GCS), computed tomography (CT) scans, and clinical outcomes. Alcohol use at the time of injury was determined by history or blood alcohol level (BAL) >0.01 g/dL. Of 689 bicyclists, 585 (84.9%) were male with a mean age of 35.2. One hundred four (15.1%) bicyclists had consumed alcohol prior to injury. Alcohol use was inversely associated with helmet use (16.5% [9.9-25.1] vs. 43.2% [39.1-47.3]). Alcohol-consuming bicyclists were more likely to fall from their bicycles (42.0% [32.2-52.3] vs. 24.2% [20.8-27.9]) and less likely to be injured by collision with a motor vehicle (52.0% [41.7-62.1] vs. 67.5% [63.5-71.3]). 80% of alcohol-consuming bicyclists underwent CT imaging at presentation compared with 51.5% of non-users. Mortality was higher among injured bicyclists who had used alcohol (2.9% [0.6-8.2] vs. 0.0% [0.0-0.6]). Adjusted multivariable analysis revealed that alcohol use was independently associated with more severe injury (Adjusted Odds Ratio 2.27, p = 0.001, 95% Confidence Interval 1.40-3.68). Within a dense urban environment, alcohol use by bicyclists was associated with more severe injury, greater hospital resource use, and higher mortality. As bicycling continues to increase in popularity internationally, it is important to heighten awareness about the risks and consequences of bicycling while under the influence of alcohol.

PURPOSE: Safe Routes to School (SRTS) was a federally funded transportation program for facilitating physically active commuting to and from school in children through improvements of the built environment. There is evidence that SRTS programs increase walking and bicycling in school-age children, but their impact on pedestrian and bicyclist safety has not been adequately examined. We investigate the impact and effects of the SRTS program on school-age pedestrian and bicyclist injuries in a nationwide sample in the United States. METHODS: Data were crash records for school-age children (5-19 years) and adults (30-64 years), in 18 U.S. states for a 16-year period (1995-2010). Multilevel negative binomial models were used to examine the association between SRTS intervention and the risk of pedestrian and bicyclist injury in children aged 5-19 years. RESULTS: SRTS was associated with an approximately 23% reduction (incidence rate ratio = 0.77, 95% confidence interval = 0.65-0.92) in pedestrian/bicyclist injury risk and a 20% reduction in pedestrian/bicyclist fatality risk (incidence rate ratio = 0.80, 95% confidence interval = 0.68-0.94) in school-age children compared to adults aged 30-64 years. CONCLUSIONS: Implementation of the SRTS program appears to have contributed to improving traffic safety for school-age children in the United States.

INTRODUCTION: Falls from heights are an important cause of unintentional fatal injury. We investigated the relationship between the characteristics of fatal falls and resulting injury patterns. MATERIALS AND METHODS: We reviewed prospectively collected data from the Office of Chief Medical Examiner in New York City between 2000 and 2010. Data included fall height, work or non-work related, use of safety equipment, intentionality, specific organ injuries, and death on impact. The primary outcome was organ injury based on fall height. RESULTS: Higher falls were associated with hemorrhage as well as rib and various organ injuries. Organ injury pattern did not differ based on work status. The presence of equipment misuse or malfunction was associated with more deaths upon impact. Victims of falls from 200 ft or higher were 11.59 times more likely to die on impact than from lower than 25 ft. CONCLUSIONS: Fall height and work-related falls were significantly associated with death on impact. This is a public health issue, as 13% of falls were work related and 4% of falls were due to improper use of safety equipment. Some work-related falls are potentially preventable with proper safety equipment use. Understanding patterns of injury may play a role in prevention and management of survivors in the acute period.

Object/UNASSIGNED:The purpose of the current study is to determine the sensitivity and specificity of an eye tracking method as a classifier for identifying concussion. Methods/UNASSIGNED:Brain injured and control subjects prospectively underwent both eye tracking and Sport Concussion Assessment Tool 3. The results of eye tracking biomarker based classifier models were then validated against a dataset of individuals not used in building a model. The area under the curve (AUC) of receiver operating characteristics was examined. Results/UNASSIGNED:An optimal classifier based on best subset had an AUC of 0.878, and a cross-validated AUC of 0.852 in CT- subjects and an AUC of 0.831 in a validation dataset. The optimal misclassification rate in an external dataset (n = 254) was 13%. Conclusion/UNASSIGNED:If one defines concussion based on history, examination, radiographic and Sport Concussion Assessment Tool 3 criteria, it is possible to generate an eye tracking based biomarker that enables detection of concussion with reasonably high sensitivity and specificity.

We conducted individual and ecologic analyses of prospectively collected data from 839 injured bicyclists who collided with motorized vehicles and presented to Bellevue Hospital, an urban Level-1 trauma center in New York City, from December 2008 to August 2014. Variables included demographics, scene information, rider behaviors, bicycle route availability, and whether the collision occurred before the road segment was converted to a bicycle route. We used negative binomial modeling to assess the risk of injury occurrence following bicycle path or lane implementation. We dichotomized U.S. National Trauma Data Bank Injury Severity Scores (ISS) into none/mild (0-8) versus moderate, severe, or critical (>8) and used adjusted multivariable logistic regression to model the association of ISS with collision proximity to sharrows (i.e., bicycle lanes designated for sharing with cars), painted bicycle lanes, or physically protected paths. Negative binomial modeling of monthly counts, while adjusting for pedestrian activity, revealed that physically protected paths were associated with 23% fewer injuries. Painted bicycle lanes reduced injury risk by nearly 90% (IDR 0.09, 95% CI 0.02-0.33). Holding all else equal, compared to no bicycle route, a bicycle injury nearby sharrows was nearly twice as likely to be moderate, severe, or critical (adjusted odds ratio 1.94; 95% confidence interval (CI) 0.91-4.15). Painted bicycle lanes and physically protected paths were 1.52 (95% CI 0.85-2.71) and 1.66 (95% CI 0.85-3.22) times as likely to be associated with more than mild injury respectively.

BACKGROUND: New York City (NYC) has made significant roadway infrastructure improvements, initiated a bicycle share program, and enacted Vision Zero, an action plan to reduce traffic deaths and serious injuries. The objective of this study was to examine whether bicycle helmets offer a protective advantage against traumatic brain injury (TBI) within a contemporary dense urban setting with a commitment to road safety. METHODS: A prospective observational study of injured bicyclists presenting to a Level I trauma centre was performed. All bicyclists arriving within 24h of injury were included. Data were collected between February, 2012 and August, 2014 and included demographics, imaging studies (e.g. computed tomography (CT)), injury patterns, and outcomes including Glasgow Coma Scale (GCS) and Injury Severity Score. RESULTS: Of 699 patients, 273 (39.1%) were wearing helmets at the time of injury. Helmeted bicyclists were more likely to have a GCS of 15 (96.3% [95% Confidence Interval (CI), 93.3-98.2] vs. 87.6 [95% CI, 84.1-90.6]) at presentation. Helmeted bicyclists underwent fewer head CTs (40.3% [95% CI, 34.4-46.4] vs. 52.8% [95% CI, 48.0-57.6]) and were less likely to sustain intracranial injury (6.3% [95% CI, 2.6-12.5] vs. 19.7% [14.7-25.6]), including skull fracture (0.9% [95% CI, 0.0-4.9] vs. 15.3% [95% CI, 10.8-20.7]) and subdural hematoma (0.0% [95% CI, 0.0-3.2] vs. 8.1% [95% CI, 4.9-12.5]). Helmeted bicyclists were significantly less likely to sustain significant TBI, i.e. Head AIS >/=3 (2.6% [95% CI: 0.7-4.5] vs.10.6% [7.6-12.5]). Four patients underwent craniotomy while three died; all were un-helmeted. A multivariable logistic regression model showed that helmeted bicyclists were 72% less likely to sustain TBI compared with un-helmeted bicyclists (Adjusted Odds Ratio 0.28, 95% CI 0.12-0.61). CONCLUSIONS: Despite substantial road safety measures in NYC, the protective impact of simple bicycle helmets in the event of a crash remains significant. A re-assessment of helmet laws for urban bicyclists is advisable to most effectively translate Vision Zero from a political action plan to public safety reality.

OBJECTIVES: We determined the demographic characteristics, behaviors, injuries, and outcomes of commercial bicyclists who were injured while navigating New York City's (NYC's) central business district. METHODS: Our study involved a secondary analysis of prospectively collected data from a level 1 regional trauma center in 2008 to 2014 of bicyclists struck by motor vehicles. We performed univariable and multivariable logistic regression analyses. RESULTS: Of 819 injured bicyclists, 284 (34.7%) were working. Commercial bicyclists included 24.4% to 45.1% of injured bicyclists annually. Injured commercial bicyclists were more likely Latino (56.7%; 95% confidence interval [CI] = 50.7, 62.8 vs 22.7%; 95% CI = 19.2, 26.5). Commercial bicyclists were less likely to be distracted by electronic devices (5.0%; 95% CI = 2.7, 8.2 vs 12.7%; 95% CI = 9.9, 15.9) or to have consumed alcohol (0.7%; 95% CI = 0.9, 2.5 vs 9.5%; 95% CI = 7.2, 12.3). Commercial and noncommercial bicyclists did not differ in helmet use (38.4%; 95% CI = 32.7, 44.4 vs 30.8%; 95% CI = 26.9, 34.9). Injury severity scores were less severe in commercial bicyclists (odds ratio = 0.412; 95% CI = 0.235, 0.723). CONCLUSIONS: Commercial bicyclists represent a unique cohort of vulnerable roadway users. In NYC, minorities, especially Latinos, should be targeted for safety education programs. (Am J Public Health. Published online ahead of print August 13, 2015: e1-e6. doi:10.2105/AJPH.2015.302738).

Study Objectives: New York City (NYC) recently expanded its bicycle routes by demarcating bike lanes with paint and constructing 30 miles of protected paths that physically separate automobile traffic from bicyclists to address increases in bicyclist fatalities. Our objective was to determine whether bike lanes and protected paths result in safety benefits for bicyclists in NYC. We hypothesized that bike lanes would be associated with reduced injury severity among bicyclists colliding with motor vehicles and that protected paths would be associated with an even greater safety benefit. Methods: We performed a secondary analysis of bicyclist injury data collected from December 2008 to August 2014 at a Level 1 Trauma Center in NYC. We evaluated the association of protected paths and bike lanes on injury severity while controlling for potential confounders including patient demographics, scene-related and environmental information, helmet use, traffic law compliance, street characteristics, and injury mechanism. Data were obtained from patient interviews and medical records. Injury severity score (ISS) was categorized according to National Trauma Data Bank (NT