Patterns of traumatic injury in New York City prisoners requiring hospital admission.

Bellevue Hospital's prison ward cares for male prisoners requiring medical attention that exceeds the capabilities of New York City Department of Correction (NYC-DOC) infirmaries. This study evaluated the injury patterns that occur in this patient population. Data were collected on consecutive prisoners transferred from NYC-DOC for traumatic injuries from June 1, 2003, to June 1, 2006, and analyzed by retrospective chart review. Overall, 251 patients were evaluated for traumatic injuries. Injury mechanisms were violent (75.7%), nonviolent (23.5%), and self-inflicted (0.8%). Of the 241 (96%) patients admitted, 213 (84.9%) required operative intervention. The most common injuries were mandible fractures (46.5%) and facial fractures (14.9%).

Risky behaviors associated with pediatric pedestrians and bicyclists struck by motor vehicles.

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.

A community traffic safety analysis of pedestrian and bicyclist injuries based on the catchment area of a trauma center.

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.

Helmet use is associated with safer bicycling behaviors and reduced hospital resource use following injury.

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.

Vulnerable roadway users struck by motor vehicles at the center of the safest, large US city.

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.

Alcohol use by pedestrians who are struck by motor vehicles: how drinking influences behaviors, medical management, and outcomes.

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.

U.S. surgeon and medical student attitudes toward organ donation.

BACKGROUND: Nearly 100,000 people await an organ transplant in the U.S. Improved utilization of potential organ donors may reduce the organ shortage. Physician attitudes toward organ donation may influence donation rates; however, the attitudes of U.S. physicians have not been formally evaluated. METHODS: Anonymous questionnaires were distributed to surgical attendings, surgical residents, and medical students at two academic medical centers. Willingness to donate one's own organs and family member's organs was examined, as well as experience with transplant procedures and religious views regarding organ donation. RESULTS: A total of 106 surveys were returned. Sixty-four percent of responders were willing to donate their own organs, and 49% had signed an organ donor card. Willingness to donate inversely correlated with professional experience. Eighty-four percent of those surveyed would agree to donate the organs of a family member, including 55% of those who refused to donate their own organs. Experience on the transplant service influenced 16% of those refusing donation, with the procurement procedure cited by 83% of this group. Sixteen percent refused organ donation on the basis of religious beliefs. CONCLUSIONS: The surveyed U.S. physicians are less willing to donate their organs compared with the general public. Despite understanding the critical need for organs, less than half of physicians surveyed had signed organ donor cards. Previous experiences with the procurement procedure influenced several responders to refuse organ donation. As the lay public traditionally looks to physicians for guidance, efforts must be made to improve physician attitudes toward organ donation with the hope of increasing donation rates.