Faculty Bibliography

OBJECTIVE: Road safety constitutes a crisis with important health and economic impacts. In 2010, 11,000 pedestrians and 3500 bicyclists were injured by motor vehicles in New York City (NYC). Motor vehicle injuries represent the second leading cause of injury-related deaths in NYC children aged 5 to 14 years. To better target injury prevention strategies, we evaluated demographics, behaviors, environmental factors, injuries, and outcomes of pediatric pedestrians and bicyclists struck by motor vehicles in NYC. METHODS: Pediatric data were extracted from a prospectively collected database of pedestrians and bicyclists struck by motor vehicles and treated at a level I regional trauma center between December 2008 and June 2011. Patients, guardians, and first responders were interviewed and medical records were reviewed. Institutional review board approval was granted and verbal consent was obtained. RESULTS: Of the 1457 patients, 168 (12%) were younger than 18 years. Compared with injured adults, children were more likely to be in male sex (69% vs 53%), to have minor injuries (83% vs 73% for injury severity scores of <9), and to be discharged without admission (69% vs 67%). Midblock crossings were more common in children pedestrians than in adults (37% vs 19%), often despite supervision (48%). Electronic device use among teenagers aged 13 to 17 years was nearly 3 times that of adults (28% vs 11%). CONCLUSIONS: Risky behaviors are common among pediatric pedestrians and bicyclists injured by motor vehicles. Road safety education and prevention strategies must stress compliance with traffic laws, readdress the importance of supervision, and reinforce avoidance of common distractors including electronic devices.

BACKGROUND: This study was designed to examine the characteristics of pedestrian and bicyclist collisions with motor vehicles within New York City's high-density hub. The primary objectives were to map crash locations and to identify hot spots within these injury clusters. The secondary objective was to quantify differences in injury severity based on road type and user behaviors. METHODS: Between December 2008 and June 2011, data were prospectively collected from pedestrians and bicyclists struck by motor vehicles and brought to Bellevue Hospital, a Level 1 trauma center in New York City. Behaviors by cohort (i.e., crossing patterns for pedestrians, riding patterns for bicyclists), Injury Severity Score (ISS), and collision locations were extracted from the database. Analyses of mean ISS were performed using a Student's t test with a p < 0.05 considered significant. Geomaps were created to identify clusters or "hot spots," where higher volumes of crashes occurred over time. Spatial analysis was performed to demonstrate whether these were random events. RESULTS: A total of 1,457 patients (1,075 pedestrians and 382 bicyclists) were enrolled. Collision locations were known for 97.5%. Of the injured pedestrians, those crossing avenues (n = 277) had higher ISSs than those crossing streets (n = 522) (p = 0.01) and were more likely to die (p = 0.002). Pedestrians crossing midblock (n = 185) had higher mean ISSs than those crossing with the signal in the crosswalk (n = 320) (8.12 vs. 5.01, p < 0.001). Based on density mapping, hot spots of pedestrian collisions were detected in midtown Manhattan, while hot spots for bicyclists were detected at bridge and tunnel portals. Spatial analysis indicates that these are not random events (p < 0.05). CONCLUSION: Pedestrians injured on avenues sustained more serious injuries than those injured on narrower streets. A better understanding of collision locations and features may allow for tailored injury prevention strategies. Trauma centers serve an important role in public health surveillance within their local communities. LEVEL OF EVIDENCE: Epidemiologic study, level III.

BACKGROUND: While the efficacy of helmet use in the prevention of head injury is well described, helmet use as it relates to bicyclists' behaviors and hospital resource use following injury is less defined. The objective of this study was to compare the demographics, behaviors, hospital workups, and outcomes of bicyclists based on helmet use. METHODS: This study was a subset analysis of a 2.5-year prospective cohort study of vulnerable roadway users conducted at Bellevue Hospital Center, a New York City Level 1 trauma center. All bicyclists with known helmet status were included. Demographics, insurance type, traffic law compliance, alcohol use, Glasgow Coma Scale (GCS) score, initial imaging studies, Abbreviated Injury Scale (AIS) score, Injury Severity Score (ISS), admission status, length of stay, disposition, and mortality were assessed. Information was obtained primarily from patients; witnesses and first responders provided additional information. RESULTS: Of 374 patients, 113 (30.2%) were wearing helmets. White bicyclists were more likely to wear helmets; black bicyclists were less likely (p = 0.037). Patients with private insurance were more likely to wear helmets, those with Medicaid or no insurance were less likely (p = 0.027). Helmeted bicyclists were more likely to ride with the flow of traffic (97.2%) and within bike lanes (83.7%) (p < 0.001 and p = 0.013, respectively). Nonhelmeted bicyclists were more likely to ride against traffic flow (p = 0.003). There were no statistically significant differences in mean GCS score, AIS score, and mean ISS for helmeted versus nonhelmeted bicyclists. Nonhelmeted patients were more likely to have head computed tomographic scans (p = 0.049) and to be admitted (p = 0.030). CONCLUSION: Helmet use is an indicator of safe riding practices, although most injured bicyclists do not wear them. In this study, helmet use was associated with lower likelihood of head CTs and admission, leading to less hospital resource use. Injured riders failing to wear helmets should be targeted for educational programs. LEVEL OF EVIDENCE: Epidemiologic study, level III.

BACKGROUND: Road safety constitutes an international crisis. In 2010, 11,000 pedestrians and 3,500 bicyclists were injured by motor vehicles in New York City. This study aims to identify the demographics, behaviors, injuries, and outcomes of vulnerable roadway users struck by motor vehicles in New York City's congested central business district and surrounding periphery. METHODS: A prospective, descriptive study of pedestrians and bicyclists struck by motor vehicles and treated at a Level I regional trauma center was performed. Data were collected between December 2008 and June 2011 by interviewing patients and first responders supplemented with imaging and outcomes variables. Main outcome measures included patient demographics, behavior patterns, scene-related data, Injury Severity Score (ISS), and outcomes including mortality. Multivariate ordinal logistic regression modeling was performed to isolate effects of predictor variables on outcome of ISS categories. RESULTS: Injured pedestrians (n = 1,075) and bicyclists (n = 382) differ by age (p < 0.001), sex (p < 0.001), ethnicity/race (p < 0.001), and involved motor vehicle type (p < 0.001). Pedestrians sustain more severe/critical injuries (p < 0.001) and hospital admissions (p < 0.001). Bicyclists are more commonly struck by taxis (p < 0.001) and infrequently wear helmets (29.6%). Variables associated with low ISS include bicycling (adjusted odds ratio [AOR], 0.43; 95% confidence interval [CI], 0.29-0.63), above normal body mass index (AOR, 0.73; 95% CI, 0.54-0.99), Latino (AOR, 0.65; 95% CI, 0.46-0.94) or black (AOR, 0.63; 95% CI, 0.41-0.96) ethnicity/race, and struck by a taxicab (AOR, 0.50; 95% CI, 0.33-0.76) or turning vehicle (AOR,0.49; 95% CI, 0.34-0.70). Variables associated with high ISS include alcohol (AOR, 2.71; 95% CI, 1.81-4.05), age less than 18 years (AOR, 1.73; 95% CI, 1.05-2.86), hearing impairment (AOR, 2.24; 95% CI, 1.24-4.03), and struck by a truck or bus (AOR, 1.91; 95% CI, 1.18-3.10). Mortality was 1.2%. CONCLUSION: Injured pedestrians and bicyclists represent distinct entities. Prevention modalities must be tailored accordingly with a focus on high-risk subgroups and compliance with traffic laws. Studying fatality or admissions data fail to capture the extent of the epidemic. LEVEL OF EVIDENCE: Prospective epidemiologic study, level II.

The omphalomesenteric duct (OMD), a temporary structure essential to fetal development, normally involutes completely by week 8 or 9 of gestation. On occasion, the OMD persists, the clinical presentations of which vary widely. We describe a case of a 6-week-old male with a patent OMD remnant that was initially treated as an umbilical granuloma, which then potentially allowed for prolapse of the small bowel through the umbilical ring. The patient required resection of the incarcerated bowel but had an otherwise uneventful and complete recovery.

We describe a case series of emergency department (ED) visits for intoxication related to the use of the caffeinated alcoholic beverage Four Loko. Medical records from the 4-month period July to November 2010 were hand searched for key words such as 'intoxicated,' 'caffeinated,' 'Four Loko,' 'alcohol,' and 'EtOH.' Patients were included if they were younger than 25 years. Eleven cases were included. Eight (72.7%) patients presented during October 2010. The median age was 16.4 years; 90.9% were under the legal drinking age of 21 years. Seven (63.6 %) were male patients. All arrived by emergency medical services (EMS). Four patients (36.3%) were found in high-risk settings, with altered mental status on subway tracks, in public buildings, or parks after dark. Two patients had blood alcohol concentrations greater than 200 mg/dL. Six patients (54.5%) had emesis. Two patients (18.2%) were admitted to hospital, 1 each because of seizures and persistent tachycardia. Patients intoxicated with Four Loko were younger than the legal drinking age, found in high-risk situations, and often admitted to the hospital. Many of these patients used EMS and resources in the ED for alleviation of adverse effects of Four Loko

BACKGROUND: : Injuries to pedestrians struck by motor vehicles represent a significant public health hazard in large cities. The purpose of this study is to investigate the demographics of alcohol users who are struck by motor vehicles and to assess the effects of alcohol on pedestrian crossing patterns, medical management, and outcomes. METHODS: : Data were prospectively collected between December 2008 to September 2010 on all pedestrians who presented to a Level I trauma center after being struck by a motor vehicle. Variables were obtained by interviewing patients, scene witnesses, first responders, and medical records. RESULTS: : Pedestrians who used alcohol were less likely to cross the street in the crosswalk with the signal (22.6% vs. 64.7%) and more likely to cross either in the crosswalk against the signal (22.6% vs. 12.4%) or midblock (54.8% vs. 22.8%). Alcohol use was associated with more initial computed tomography imaging studies compared with no alcohol involvement. Alcohol use was associated with a higher Injury Severity Score (8.82 vs. 4.85; p < 0.001) and hospital length of stay (3.89 days vs. 1.82 days; p < 0.001) compared with those with no alcohol involvement. Patients who used alcohol had a lower average Glasgow Coma Scale score (13.80 vs. 14.76; p < 0.001) and a higher rate of head and neck, face, chest, abdomen, and extremity/pelvic girdle injuries (based on Abbreviated Injury Scale) than those with no alcohol involvement. CONCLUSION: : Alcohol use is a significant risk factor for pedestrians who are struck by motor vehicles. These patients are more likely to cross the street in an unsafe manner and sustain more serious injuries. Traffic safety and injury prevention programs must address irresponsible alcohol use by pedestrians