Safety Factors and Patterns of Bicycle Trauma in a Tertiary Level 1 Trauma Center in Boston, Massachusetts: A Retrospective Review and Survey Study.

Objectives: Increasing bicycle ridership is accompanied by ongoing bicycle-related accidents in many urban cities. There is a need for improved understanding of patterns and risks of urban bicycle usage. We describe the injuries and outcomes of bicycle-related trauma in Boston, Massachusetts, and determine accident-related factors and behaviors associated with injury severity. Methods: We conducted a retrospective review via chart review of 313 bicycle-related injuries presenting to a Level 1 trauma center in Boston, Massachusetts. These patients were also surveyed regarding accident-related factors, personal safety practices, and road and environmental conditions during the accident. Results: Over half of all cyclists biked for commuting and recreational purposes (54%), used a road without a bike lane (58%), and a majority wore a helmet (91%). The most common injury pattern involved the extremities (42%) followed by head injuries (13%). Bicycling for commuting rather than recreation, cycling on a road with a dedicated bicycle lane, the absence of gravel or sand, and use of bicycle lights were all factors associated with decreased injury severity (p<0.05). After any bicycle injury, the number of miles cycled decreased significantly regardless of cycling purpose. Conclusion: Our results suggest that physical separation of cyclists from motor vehicles via bicycle lanes, regular cleaning of these lanes, and usage of bicycle lights are modifiable factors protective against injury and injury severity. Safe bicycling practices and understanding of factors involved in bicycle-related trauma can reduce injury severity and guide effective public health initiatives and urban planning.

Patient care transitions from the emergency department to the medicine ward: evaluation of a standardized electronic signout tool.

OBJECTIVE: To evaluate the impact of a new electronic handoff tool for emergency department to medicine ward patient transfers over a 1-year period. DESIGN: Prospective mixed-methods analysis of data submitted by medicine residents following admitting shifts before and after eSignout implementation. SETTING: University-based, tertiary-care hospital. PARTICIPANTS: Internal medicine resident physicians admitting patients from the emergency department. INTERVENTION: An electronic handoff tool (eSignout) utilizing automated paging communication and responsibility acceptance without mandatory verbal communication between emergency department and medicine ward providers. MAIN OUTCOME MEASURES: (i) Incidence of reported near misses/adverse events, (ii) communication of key clinical information and quality of verbal communication and (iii) characterization of near misses/adverse events. RESULTS: Seventy-eight of 80 surveys (98%) and 1058 of 1388 surveys (76%) were completed before and after eSignout implementation. Compared with pre-intervention, residents in the post-intervention period reported similar number of shifts with a near miss/adverse event (10.3 vs. 7.8%; P = 0.27), similar communication of key clinical information, and improved verbal signout quality, when it occurred. Compared with the former process requiring mandatory verbal communication, 93% believed the eSignout was more efficient and 61% preferred the eSignout. Patient safety issues related to perceived sufficiency/accuracy of diagnosis, treatment or disposition, and information quality. CONCLUSIONS: The eSignout was perceived as more efficient and preferred over the mandatory verbal signout process. Rates of reported adverse events were similar before and after the intervention. Our experience suggests electronic platforms with optional verbal communication can be used to standardize and improve the perceived efficiency of patient handoffs.

Bicycle helmet laws are associated with a lower fatality rate from bicycle-motor vehicle collisions.

OBJECTIVE: To assess the association between bicycle helmet legislation and bicycle-related deaths sustained by children involved in bicycle-motor vehicle collisions. STUDY DESIGN: We conducted a cross-sectional study of all bicyclists aged 0-16 years included in the Fatality Analysis Reporting System who died between January 1999 and December 2010. We compared fatality rates in age-specific state populations between states with helmet laws and those without helmet laws. We used a clustered Poisson multivariate regression model to adjust for factors previously associated with rates of motor vehicle fatalities: elderly driver licensure laws, legal blood alcohol limit (<0.08% vs ≥ 0.08%), and household income. RESULTS: A total of 1612 bicycle-related fatalities sustained by children aged <16 years were evaluated. There were no statistically significant differences in median household income, the proportion of states with elderly licensure laws, or the proportion of states with a blood alcohol limit of >0.08% between states with helmet laws and those without helmet laws. The mean unadjusted fatality rate was lower in states with helmet laws (2.0/1,000,000 vs 2.5/1,000,000; P = .03). After adjusting for potential confounding factors, lower fatality rates persisted in states with mandatory helmet laws (adjusted incidence rate ratio, 0.84; 95% CI, 0.70-0.98). CONCLUSION: Bicycle helmet safety laws are associated with a lower incidence of fatalities in child cyclists involved in bicycle-motor vehicle collisions.

Prevalence of bicycle helmet use by users of public bikeshare programs.

STUDY OBJECTIVE: Public bikeshare programs are becoming increasingly common in the United States and around the world. These programs make bicycles accessible for hourly rental to the general public. We seek to describe the prevalence of helmet use among adult users of bikeshare programs and users of personal bicycles in 2 cities with recently introduced bikeshare programs (Boston, MA, and Washington, DC). METHODS: We performed a prospective observational study of adult bicyclists in Boston, MA, and Washington, DC. Trained observers collected data during various times of the day and days of the week. Observers recorded the sex of the bicycle operator, type of bicycle, and helmet use. All bicycles that passed a single stationary location in any direction for a period of between 30 and 90 minutes were recorded. RESULTS: There were 43 observation periods in 2 cities at 36 locations; 3,073 bicyclists were observed. There were 562 (18.3%; 95% confidence interval [CI] 16.4% to 20.3%) bicyclists riding shared bicycles. Overall, 54.5% of riders were unhelmeted (95% CI 52.7% to 56.3%), although helmet use varied significantly with sex, day of use, and type of bicycle. Bikeshare users were unhelmeted at a higher rate compared with users of personal bicycles (80.8% versus 48.6%; 95% CI 77.3% to 83.8% versus 46.7% to 50.6%). Logistic regression, controlling for type of bicycle, sex, day of week, and city, demonstrated that bikeshare users had higher odds of riding unhelmeted (odds ratio [OR] 4.4; 95% CI 3.5 to 5.5). Men had higher odds of riding unhelmeted (OR 1.6; 95% CI 1.4 to 1.9), as did weekend riders (OR 1.3; 95% CI 1.1 to 1.6). CONCLUSION: Use of bicycle helmets by users of public bikeshare programs is low. As these programs become more popular and prevalent, efforts to increase helmet use among users should increase.

Abnormal coagulation tests obtained in the emergency department are associated with mortality in patients with suspected infection.

BACKGROUND: Early recognition of acute organ dysfunction in emergency department (ED) patients with suspected infection may help select patients at increased risk of mortality. The hematologic system is often overlooked in the evaluation and management of patients with infection because it is poorly circumscribed and serves a multitude of functions. STUDY OBJECTIVES: We examine the hypothesis that abnormalities in commonly and easily obtained markers of coagulation function (international normalized ratio [INR], partial thromboplastin time [PTT], and platelet count [PLT]) are associated with mortality in ED patients admitted to the hospital with suspected infection. DESIGN: Secondary analysis of a prospective observational cohort study. SETTING: Urban tertiary care university hospital with 50,000 annual ED visits. PATIENTS: Included patients: adults (age 18 ≥ years) evaluated in the ED for a suspected infection, had an INR, PTT, and PLT obtained during the ED stay, admitted to the hospital. Excluded patients: on oral anticoagulant therapy, received heparin, or pre-existing severe liver disease. RESULTS: There were 1688 patients included. The in-hospital mortality rate was 5.9%. After adjusting for elderly status, comorbid illness burden, and severity of illness, elevated INR was associated with a 2.9 (95% confidence interval [CI] 1.6-5.2) increased odds of death, and a low platelet count (< 150,000/uL) was associated with 2.0 (95% CI 1.2-3.3) increased odds of death. The C-statistic for the model was 0.80. CONCLUSION: We found an independent association between abnormalities in the coagulation system and mortality in ED patients with suspected infection. These findings underscore the close interaction between inflammation and coagulation and provide evidence that these simple laboratory tests should be routinely considered during the early evaluation of the infected patient.

Absolute lymphocyte count in the emergency department predicts a low CD4 count in admitted HIV-positive patients.

OBJECTIVES: This study sought to determine if the automated absolute lymphocyte count (ALC) predicts a "low" (<200 × 10(6) cells/µL) CD4 count in patients with known human immunodeficiency virus (HIV+) who are admitted to the hospital from the emergency department (ED). METHODS: This retrospective cohort study over an 8-year period was performed in a single, urban academic tertiary care hospital with over 85,000 annual ED visits. Included were patients who were known to be HIV+ and admitted from the ED, who had an ALC measured in the ED and a CD4 count measured within 24 hours of admission. Back-translated means and confidence intervals (CIs) were used to describe CD4 and ALC levels. The primary outcome was to determine the utility of an ALC threshold for predicting a CD4 count of <200 × 10(6) cells/µL by assessing the strength of association between log-transformed ALC and CD4 counts using a Pearson correlation coefficient. In addition, area under the receiver operator curve (AUC) and a decision plot analysis were used to calculate the sensitivity, specificity, and the positive and negative likelihood ratios to identify prespecified optimal clinical thresholds of a likelihood ratio of <0.1 and >10. RESULTS: A total of 866 patients (mean age 42 years, 40% female) met inclusion criteria. The transformed means (95% CIs) for CD4 and ALC were 34 (31-38) and 654 (618-691), respectively. There was a significant relationship between the two measures, r = 0.74 (95% CI = 0.71 to 0.77, p < 0.01). The AUC was 0.92 (95% CI = 0.90 to 0.94, p < 0.001). An ALC of <1700 × 10(6) cells/µL had a sensitivity of 95% (95% CI = 93% to 96%), specificity of 52% (95% CI = 43% to 62%), and negative likelihood ratio of 0.09 (95% CI = 0.05 to 0.2) for a CD4 count of <200 × 10(6) cells/µL. An ALC of <950 × 10(6) cells/µL has a sensitivity of 76% (95% CI = 73% to 79%), specificity of 93% (95% CI = 87% to 96%), and positive likelihood ratio of 10.1 (95% CI = 8.2 to 14) for a CD4 count of <200 × 10(6) cells/µL. CONCLUSIONS: Absolute lymphocyte count was predictive of a CD4 count of <200 × 10(6) cells/µL in HIV+ patients who present to the ED, necessitating hospital admission. A CD4 count of <200 × 10(6) cells/µL is very likely if the ED ALC is <950 × 10(6) cells/µL and less likely if the ALC is >1,700 × 10(6) cells/µL. Depending on pretest probability, clinical use of this relationship may help emergency physicians predict the likelihood of susceptibility to opportunistic infections and may help identify patients who should receive definitive CD4 testing.

Risk factors for death in elderly emergency department patients with suspected infection.

OBJECTIVES: To identify independent risk factors for death in elderly emergency department (ED) patients admitted for infection and to derive and validate a mortality-prediction rule for such patients. DESIGN: Prospective cohort study. SETTING: Tertiary hospital ED with 55,000 annual visits. PARTICIPANTS: ED patients aged 65 and older admitted for infection between December 2003 and September 2004 in the derivation cohort and October 2005 and October 2006 in the validation cohort. PRIMARY OUTCOME: 28-day in-hospital mortality. Data were extracted from charts, and multivariate logistic regression were performed to identify independent mortality predictors. A prediction model was constructed and then validated in a second cohort. RESULTS: Nine hundred thirty-five patients were included in the derivation cohort and 2,015 in the validation cohort. Mortality was 6% in the derivation cohort and 7% in the validation cohort. In the derivation cohort, logistic regression revealed five independent mortality predictors: respiratory compromise (respiratory rate >20 breaths per minute or hypoxemia) (odds ratio (OR)=4.0, 95% confidence interval (CI)=1.7-9.4), tachycardia (heart rate > or = 120 betas per minute; OR=3.2, 95% CI=1.6-6.3), cardiovascular failure (systolic blood pressure <90 mmHg despite fluid challenge or lactate > or = 4.0; OR=9.0, 95% CI=4.7-17), preexisting terminal illness (OR=5.7, 95% CI=2.2-15), and platelet count less than 150,000/mm3 (OR=2.7, 95% CI=1.3-5.6). Mortality increased with the number of factors: 0.51% for no factors, 3.1% for one factor, 14% for two factors, 47% for three or more risk factors. The c-statistic was 0.87 for the derivation model and 0.74 for the validation model. Almost 80% of patients in both cohorts were in low-risk groups (0 or 1 factor). CONCLUSION: A rule derived from five readily available variables predicts mortality in infected elderly ED patients and allows identification of a large low-risk subgroup.