Objective: To examine the features of powered mobility device-related injuries and identify the predictors of injury severity in such settings. Methods: Emergency Department-based Injury In-depth Surveillance data from 2011 to 2018 were used in this retrospective study. Participants were assigned to the mild/moderate and severe groups based on their excess mortality ratio–adjusted injury severity score and their general injury-related factors and injury outcome-related factors were compared. Results: Of 407 patients, 298 (79.2%) were assigned to the mild/moderate group and 109 (26.8%) to the severe group. The severe group included a higher percentage of patients aged 70 years or older (43.0% vs. 59.6%, P=0.003), injuries incurred in the daytime (72.6% vs. 82.4%, P=0.044), injuries from traffic accidents and falls (P=0.042), head injuries (38.6% vs. 80.7%, P<0.001), torso injuries (16.8% vs. 32.1%, P=0.001), overall hospital admission (28.5% vs. 82.6%, P<0.001), intensive care unit admission (1.7% vs. 37.6%, P<0.001), death after admission (1.4% vs. 10.3%, P=0.034), and total mortality (0.7% vs. 9.2%, P<0.001). The odds ratios (ORs) for injury severity were as follows: age 70 years or older (OR, 2.124; 95% confidence interval [CI], 1.239–3.642), head injury (OR, 10.441; 95% CI, 5.465–19.950), and torso injury (OR, 4.858; 95% CI, 2.495–9.458). Conclusion The proportions of patients aged 70 years or older, head and torso injuries, injuries from traffic accidents and falls, and injuries in the daytime were higher in the severe group. Our results highlight the need for measures to address these factors to lower the incidence of severe injuries.

Objective: To examine the features of powered mobility device-related injuries and identify the predictors of injury severity in such settings. Methods: Emergency Department-based Injury In-depth Surveillance data from 2011 to 2018 were used in this retrospective study. Participants were assigned to the mild/moderate and severe groups based on their excess mortality ratio–adjusted injury severity score and their general injury-related factors and injury outcome-related factors were compared. Results: Of 407 patients, 298 (79.2%) were assigned to the mild/moderate group and 109 (26.8%) to the severe group. The severe group included a higher percentage of patients aged 70 years or older (43.0% vs. 59.6%, P=0.003), injuries incurred in the daytime (72.6% vs. 82.4%, P=0.044), injuries from traffic accidents and falls (P=0.042), head injuries (38.6% vs. 80.7%, P<0.001), torso injuries (16.8% vs. 32.1%, P=0.001), overall hospital admission (28.5% vs. 82.6%, P<0.001), intensive care unit admission (1.7% vs. 37.6%, P<0.001), death after admission (1.4% vs. 10.3%, P=0.034), and total mortality (0.7% vs. 9.2%, P<0.001). The odds ratios (ORs) for injury severity were as follows: age 70 years or older (OR, 2.124; 95% confidence interval [CI], 1.239–3.642), head injury (OR, 10.441; 95% CI, 5.465–19.950), and torso injury (OR, 4.858; 95% CI, 2.495–9.458). Conclusion The proportions of patients aged 70 years or older, head and torso injuries, injuries from traffic accidents and falls, and injuries in the daytime were higher in the severe group. Our results highlight the need for measures to address these factors to lower the incidence of severe injuries.

Objective: In September 2018, the traffic law revision has enforced all passengers in cars to wear seatbelts. Our study aims to investigate the effects of this law revision on fellow passengers involved in car accidents by considering their seatbelt-wearing rate and severity score. Methods: This study is a retrospective observational study. Data were collected from the Emergency Department-based Injury in-depth Surveillance (for the years 2017 and 2019), Korea Disease Control and Prevention Agency. Candidates were patients who visited emergency rooms (ERs) of 23 hospitals from January to December in the years 2017 and 2019. Patients under the age of 15 years or without Excess Mortality Ratio-adjusted Injury Severity Score (EMR-ISS) data or having accidents on highways were excluded. Results: The total number of patients who visited ERs during the study periods was 91,506 and 14,806 in 2017 and 2019, respectively, and were included in our study. There were more fellow female passengers than male passengers during both the study periods: 5,559 in 2017 (67.9%) and 4,341 in 2019 (66.8%). Compared to 52.2% in 2017, the rate of wearing seatbelts increased to 54.5% in 2019. However, after adjusting for age, sex, use of ambulance, injury time, alcohol use, type of road, and counterpart, multivariate logistic regression revealed that compared to the 2017 group, the odds ratio of severe injuries in the 2019 group was 1.10 (95% confidence interval, 0.98-1.24). Conclusion Increased rate of wearing seatbelts after imposing the traffic law revision was not satisfactory. Therefore, it is necessary to tighten regulations on fellow passengers without seat belts and improve awareness through public relations.

BACKGROUND: The aim of this study was to determine the prognostic value and optimal sampling time of serum S-100B protein for the prediction of poor neurological outcomes in post-cardiac arrest (CA) patients treated with therapeutic hypothermia (TH). METHODS: We prospectively measured serum S100 calcium binding protein beta subunit (S-100B protein) levels 12 times (0-96 hours) after the return of spontaneous circulation (ROSC). The patients were classified into two groups based on cerebral performance category (CPC): the good neurological outcome group (CPC 1-2 at 6 months) and the poor neurological outcome group (CPC 3-5). We compared serial changes and serum S-100B protein levels at each time point between the two groups and performed receiver operating characteristic curve analysis for the prediction of poor neurological outcomes. RESULTS: A total of 40 patients were enrolled in the study. S-100B protein levels peaked at ROSC (0 hour), decreased rapidly to 6 hours and maintained a similar level thereafter. Serum S-100B protein levels in the poor CPC group (n = 22) were significantly higher than in the good CPC group (n = 18) at all time points after ROSC except at 4 hours. The time points with highest area under curve were 24 (0.829) and 36 (0.837) hours. The cut-off value, the sensitivity (24/36 hours) and specificity (24/36 hours) for the prediction of poor CPC at 24 and 48 hours were 0.221/0.249 ug/L, 75/65% and 82.4/94.1%, respectively. CONCLUSIONS: Serum S-100B protein was an early and useful marker for the prediction of poor neurological outcomes in post-CA patients treated with TH and the optimal sampling times were 24 and 36 hours after ROSC.
Area Under Curve ; Heart Arrest* ; Humans ; Hypothermia* ; Prospective Studies ; ROC Curve ; S100 Calcium Binding Protein beta Subunit* ; Sensitivity and Specificity

Objective: When mass casualty incidents occur in Korea, disaster medical assistance teams (DMATs) and public health disaster response teams (PHDRTs) treat casualties at the scene. However, the appropriateness of their on-site responses has not been assessed so far. In this study, we evaluated their response and the variations in their response according to the accessibility of medical care. Methods: We analyzed mass casualty incidents that were reported to the Disaster Emergency Medical Service Situation Room of the National Emergency Medical Center from July 2014 to December 2018. We divided the accident locations into medically underserved areas (MUAs) and adequately served areas (ASAs) and compared the responses of the two teams in each area. Results: Of the 61 incidents, 20 occurred in MUAs, and 41 occurred in ASAs. In MUAs compared to ASAs, time from DMATs' dispatch to arrival was longer (48 [40-58.5] vs. 23 [18-32], P<0.001) but the time taken by the PHDRTs did not vary between two areas (19 [14-35] vs. 15.5 [9-24.5], P=0.263). In MUAs, the time elapsed from the PHDRTs' dispatch to arrival was less than that of the DMATs (48 [40-58.5] vs. 20 [15-35], P<0.001). In MUAs, the distance of the PHDRTs from the scene was lower (31.4 [25-50.95] vs. 13.6 [5.3-19.7], P=0.001) and more members were dispatched to the scene than the DMAT (5 [4-6] vs. 9 [5-10.5], P=0.013). Conclusion Because of the low accessibility to the scene in MUAs, DMATs took a long time to initiate medical support . To provide adequate disaster medical support, the PHDRTs must be specialized and trained.

Objective: When mass casualty incidents occur in Korea, disaster medical assistance teams (DMATs) and public health disaster response teams (PHDRTs) treat casualties at the scene. However, the appropriateness of their on-site responses has not been assessed so far. In this study, we evaluated their response and the variations in their response according to the accessibility of medical care. Methods: We analyzed mass casualty incidents that were reported to the Disaster Emergency Medical Service Situation Room of the National Emergency Medical Center from July 2014 to December 2018. We divided the accident locations into medically underserved areas (MUAs) and adequately served areas (ASAs) and compared the responses of the two teams in each area. Results: Of the 61 incidents, 20 occurred in MUAs, and 41 occurred in ASAs. In MUAs compared to ASAs, time from DMATs' dispatch to arrival was longer (48 [40-58.5] vs. 23 [18-32], P<0.001) but the time taken by the PHDRTs did not vary between two areas (19 [14-35] vs. 15.5 [9-24.5], P=0.263). In MUAs, the time elapsed from the PHDRTs' dispatch to arrival was less than that of the DMATs (48 [40-58.5] vs. 20 [15-35], P<0.001). In MUAs, the distance of the PHDRTs from the scene was lower (31.4 [25-50.95] vs. 13.6 [5.3-19.7], P=0.001) and more members were dispatched to the scene than the DMAT (5 [4-6] vs. 9 [5-10.5], P=0.013). Conclusion Because of the low accessibility to the scene in MUAs, DMATs took a long time to initiate medical support . To provide adequate disaster medical support, the PHDRTs must be specialized and trained.

PURPOSE: This study aimed to compare cerebral hemispheric volumes between pharmacologic treatment and supportive management of patent ductus arteriosus (PDA). METHODS: The study was conducted retrospectively. The subjects of period 1 group were very low birth weight infants whose PDA were treated with pharmacologic closure. Period 2 group were treated with supportive management. Regional brain volumes measured using magnetic resonance imaging were compared between the two groups. RESULTS: total of 12 infants were included. Their median gestational age was 27⁺⁶ (range: 24⁺¹–31⁺¹) weeks and birth weight was 1,065 g (range: 690–1,380). Between the two groups, there was no difference in Apgar score, incidence of bronchopulmonary dysplasia, necrotizing enterocolitis, and culture proven sepsis. The regional brain volumes such as gray matter (Period 1 group, 76,833 mm³ [55,759–100,388] vs. Period 2 group, 79,870 mm³ [59,957–113,018], P=0.59), white matter (82,993 mm³ [63,130–121,311] vs. 92,576 mm³ [77,200–104,506], P=0.18), cerebrospinal fluid (17,167 mm³ [9,279–22,760] vs. 14,348 mm³ [7,018–27,604], P=0.94), basal ganglia (2,065 mm³ [1,697–2,482] vs. 2,306 mm³ [2,065–3,009], P=0.18), and cerebellum (18,374 mm³ [14,843–24,657] vs. 18,096 mm³ [16,134–23,627], P=0.94) were not different between the two groups. CONCLUSION: Regional brain volumes were not different between pharmacological and conservative treatment in infants with PDA. Further wellcontrolled studies are required to evaluate the advantages or disadvantages of supportive management without pharmacologic treatment of PDA.
Apgar Score ; Basal Ganglia ; Birth Weight ; Brain* ; Bronchopulmonary Dysplasia ; Cerebellum ; Cerebrospinal Fluid ; Ductus Arteriosus, Patent* ; Enterocolitis, Necrotizing ; Gestational Age ; Gray Matter ; Humans ; Ibuprofen* ; Incidence ; Infant* ; Infant, Newborn ; Infant, Premature ; Infant, Very Low Birth Weight* ; Magnetic Resonance Imaging ; Pilot Projects* ; Retrospective Studies ; Sepsis ; White Matter

Objective: When bike riding under the influence of alcohol, incidence of injury increases, although reports of highly severe injuries is rare. Therefore, this study aimed to determine how drinking alcohol affects bicycle injuries. Methods: This study included patients who visited the emergency departments at 23 hospitals. Participants were enrolled in the emergency department-based injury in-depth surveillance program of the Korea Centers for Disease Control and Prevention, were over 15-years-old, and were injured while riding a bike either with or without alcohol intake.Patients with important data missing or insufficient data such as Excess Mortality Ratio-adjusted Injury Severity Score (EMR-ISS) were excluded from the analysis. Results: A total of 28,094 patients were analyzed. The alcohol-intake group numbered 1,946 (6.9%) while the non-alcohol-intake group numbered 26,148 (93.1%). The incidence of severe injury (EMR-ISS≥25) in the alcohol-intake group was 451 (23.2%), whereas that in the non-alcohol-intake group was 2,881 (11.0%), which was statistically different between the two groups (P<0.001). According to multivariate logistic regression, the odds ratio of severe injuries in the alcohol-intake group was 2.04 (95% confidence interval, 1.80-2.30) compared to the non-alcohol-intake group after adjusting for age, alcohol use, type of road, sex, injury time, and transportation. Conclusion Alcohol is associated with an increase in the incidence of severe injuries. Therefore, as part of preventive measures, it will be necessary to tighten regulations on post-drinking bike riding and improve awareness through public relations.

No abstract available.
Leukemia* ; Sweet Syndrome*

Objective: Doctors or public health doctors at the nearest institution to a disaster scene often have to treat the casualties at the scene. Therefore, disaster medical education is necessary for medical students and doctors, but such education is not properly implemented. This study investigated the status of disaster medical education in Korean medical schools and the professors' thoughts on the appropriateness and necessity of disaster medical education. Methods: A survey was conducted on working-level professors in charge of student education in emergency medicine in 40 medical schools. The survey asked the professors the current status of disaster medical education at each school and the professors' thoughts on the appropriateness and necessity of disaster medical education. Results: Thirty-seven professors (92.5%) responded to the survey. Twenty-seven schools (73.0%) had a regular curriculum of disaster medicine. Disaster drills were conducted at 34 training hospitals (91.9%), while students of 10 schools (29.4%) were officially participating in the drill. Of the responders, 31 (83.8%) responded that disaster medicine is necessary for clinicians. Thirty-seven professors (100%) thought disaster medical education was necessary for medical students, and 20 (54.1%) of them responded that their schools did not provide adequate disaster medical education. Conclusion Many schools did not have a proper course on disaster medical education. Disaster medical education is necessary for medical students, but such education is not properly implemented.