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Background@#Current international guidelines recommend against deep sedation as it is associated with worse outcomes in the intensive care unit (ICU). However, in Korea the prevalence of deep sedation and its impact on patients in the ICU are not well known. @*Methods@#From April 2020 to July 2021, a multicenter, prospective, longitudinal, noninterventional cohort study was performed in 20 Korean ICUs. Sedation depth extent was divided into light and deep using a mean Richmond Agitation–Sedation Scale value within the first 48 hours. Propensity score matching was used to balance covariables; the outcomes were compared between the two groups. @*Results@#Overall, 631 patients (418 [66.2%] and 213 [33.8%] in the deep and light sedation groups, respectively) were included. Mortality rates were 14.1% and 8.4% in the deep and light sedation groups (P = 0.039), respectively. Kaplan-Meier estimates showed that time to extubation (P < 0.001), ICU length of stay (P = 0.005), and death P = 0.041) differed between the groups. After adjusting for confounders, early deep sedation was only associated with delayed time to extubation (hazard ratio [HR], 0.66; 95% confidence inter val [CI], 0.55– 0.80; P < 0.001). In the matched cohort, deep sedation remained significantly associated with delayed time to extubation (HR, 0.68; 95% 0.56–0.83; P < 0.001) but was not associated with ICU length of stay (HR, 0.94; 95% CI, 0.79–1.13; P = 0.500) and in-hospital mortality (HR, 1.19; 95% CI, 0.65–2.17; P = 0.582). @*Conclusion@#In many Korean ICUs, early deep sedation was highly prevalent in mechanically ventilated patients and was associated with delayed extubation, but not prolonged ICU stay or in-hospital death.
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Purpose@#We aimed to investigate the changing trends in intentional drug poisoning among pediatric and adolescent patients over the past 10 years. @*Methods@#A retrospective study was conducted on patients younger than 20 years who visited an academic hospital emergency department (ED) in Incheon, Korea, from January 2011 through December 2020. The study focused on patients who responded with “self-harm or suicide” in the ED-based Injury In-depth Surveillance, and whose injury mechanism was drug poisoning. Exclusion criteria were unintentional injuries and the ingestion of substances other than drugs. To describe the trend over the decade, we used the number of events/100,000 ED annual visits of the database. @*Results@#A total of 3,388 cases with a median age of 17 years (interquartile range, 15-18 years) were included. The most frequently ingested drugs were acetaminophen (27.8%), followed by benzodiazepines (15.2%), antidepressants (14.1%), other sedatives and hypnotics (13.4%), and antipsychotics (8.3%). As for the events/100,000 ED annual visits, benzodiazepines showed the biggest increase, from 7.6 to 80.2 cases. Similarly, antidepressants increased from 10.2 to 71.1 cases, and antipsychotics from 3.6 to 53.7 cases. @*Conclusion@#Intentional drug poisoning has increased over the past 10 years, particularly in benzodiazepines, antidepressants, and antipsychotics. It is advisable to establish injury prevention strategies according to patients’ characteristics and ingested drugs.
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Objective@#Coronavirus disease 2019 (COVID-19) pandemic has been affecting the safety of hospital healthcare workers and the outcome of out-of-hospital cardiac arrest patients. This study aimed to analyze the influence of the changes inhospital infection control protocols (ICP) and cardiopulmonary resuscitation (CPR) environment on the treatment outcomes of out-of-hospital cardiac arrest patients. @*Methods@#The medical records of patients who visited the emergency room were retrospectively reviewed for the period from March 13, 2019 to March 13, 2021. Patient data were analyzed before and after March 13, 2020, when the “in-hospital CPR guidelines related to COVID-19 infection” was recommended by the Korean Society of Emergency Medicine. We performed a comparison and analysis of the first epinephrine administration time and the intubation time with other CPR-related factors in both groups. The in-hospital return of spontaneous circulation (ROSC) and the over 24-hour survival rate were defined as treatment outcomes. @*Results@#A total number of 453 patients were included in the study. After ICP, the in-hospital ROSC was increased (29.8% vs. 42.1%, P=0.006), whereas the over 24-hour survival rate was decreased (67.2% vs. 40.6%, P=0.001). The time intervals from the hospital visit to the first epinephrine administration—1.0 (0-1.0) vs. 1.0 (0-2.0), P=0.007—and tracheal intubation—1.0 (0-1.0) vs. 1.0 (1.0-2.8), P<0.001—were statistically significantly higher than those before ICP application. In our multivariable analysis, the ICP application and pre-hospital emergency medical service (EMS) response time were factors associated with the treatment outcome. @*Conclusion@#After the application of the ICP, both the first epinephrine administration time and the tracheal intubation time from the patient’s hospital visit were prolonged. The application of ICP and the delayed EMS response time were factors associated with the treatment outcome.
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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.
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Purpose@#The aim of this study was to investigate the epidemiologic features of pediatric dental injury according to age groups using Korean national data. @*Methods@#We reviewed the data from 2015 to 2019 Emergency Department-based Injury In-depth Surveillance registry, which involves 23 emergency departments in Korea. We included children aged 18 years or younger with the International Classification of Disease, 10th Revision codes related to dental injury. Other or combined codes were excluded. The children were classified by age groups: infants (< 1 year), preschoolers (2-6), schoolers (7-12), and adolescents (13-18). As per the age groups, we compared the clinical characteristics, injury event profiles, and outcomes. @*Results@#The study population (n = 33,020) consisted of 8,900 infants (27.0%), 15,705 preschoolers (47.6%), 5,295 schoolers (16.0%), and 3,120 adolescents (9.4%). Their median age was 3 years (interquartile range, 1-7), and boys accounted for 64.2%. The most common mechanism, type of activity, and place were slip down (14,274 [43.2%]), daily activity (23,777 [72.0%]), and home (19,980 [60.5%]), respectively. Among the injury types, soft tissue injury was most common (24,357 [73.8%]). As for the outcomes, 32,841 (99.5%) children were discharged, and 332 (1.0%) children had severe injury. As the age increased, the frequencies changed as follows. As for the place and type, household injury and soft tissue injury decreased while outdoor injury, such as road traffic injury, and tooth fracture increased (P < 0.001). As for the type of activity, injuries related to exercise/sports and education increased (P < 0.001). Of the sports activity, ball sports increased while kickboard/cycle decreased (P < 0.001). @*Conclusion@#Using the epidemiologic features of pediatric dental injury, it is advisable to establish injury prevention strategies according to the age groups.
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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.
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Objective@#Previous studies lacked an accurate analysis of age-specific mortality because they included either a single hospital’s data or survey-based method, rather than the patient’s information from the emergency room (ER). Therefore, this study analyzed the mortality risk by age group among patients who visited the ER with suicidal attempts using large-scale data. @*Methods@#Data were collected from the in-depth surveillance data of injury among patients who visited the ERs of 23 hospitals from January 2011 to December 2018. Their ages were divided into 10-year ranges for patients aged 15 years or older (15-24, 25-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years). The patients’ sex, alcohol consumption before the injury, time of injury, place of injury, ambulance used for transport to the ER, disposition at the ER, and total deaths were investigated. @*Results@#The number of patients was 41,257, of which 38,229 (92.7%) survived and 3,082 (7.3%) died. The proportions of patients in each group who died from suicidal attempts in the 15-24, 25-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years groups were 2.7%, 3.1%, 5.4%, 7.8%, 12.0%, 18.5%, and 21.8%, respectively (P<0.001). A statistically positive-response relationship was noted (P trend<0.001). As a result of adjusting for sex, age, place of injury, time of injury, and alcohol consumption in multivariate logistic regression analysis, and the odds ratios of deaths were 1.70, 2.37, 2.86, 5.18, 5.48, and 6.41, respectively (reference, 15-24 years). Moreover, compared to women, the men’s odds ratio of death was 1.58. @*Conclusion@#Among patients who visited the ER due to suicidal attempts, those of advanced age and males have high mortality.
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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.
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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.
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Objective@#Previous studies lacked an accurate analysis of age-specific mortality because they included either a single hospital’s data or survey-based method, rather than the patient’s information from the emergency room (ER). Therefore, this study analyzed the mortality risk by age group among patients who visited the ER with suicidal attempts using large-scale data. @*Methods@#Data were collected from the in-depth surveillance data of injury among patients who visited the ERs of 23 hospitals from January 2011 to December 2018. Their ages were divided into 10-year ranges for patients aged 15 years or older (15-24, 25-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years). The patients’ sex, alcohol consumption before the injury, time of injury, place of injury, ambulance used for transport to the ER, disposition at the ER, and total deaths were investigated. @*Results@#The number of patients was 41,257, of which 38,229 (92.7%) survived and 3,082 (7.3%) died. The proportions of patients in each group who died from suicidal attempts in the 15-24, 25-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years groups were 2.7%, 3.1%, 5.4%, 7.8%, 12.0%, 18.5%, and 21.8%, respectively (P<0.001). A statistically positive-response relationship was noted (P trend<0.001). As a result of adjusting for sex, age, place of injury, time of injury, and alcohol consumption in multivariate logistic regression analysis, and the odds ratios of deaths were 1.70, 2.37, 2.86, 5.18, 5.48, and 6.41, respectively (reference, 15-24 years). Moreover, compared to women, the men’s odds ratio of death was 1.58. @*Conclusion@#Among patients who visited the ER due to suicidal attempts, those of advanced age and males have high mortality.
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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.
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Purpose@#The aim of this study was to analyze the age group characteristics and factors associated with the severe trauma in children who visited a regional trauma center. @*Methods@#We reviewed children aged 18 years or younger who visited a regional trauma center, equivalent to level 1 trauma centers in the United States, in Incheon, Korea from July 2014 through December 2019. They were classified by the age groups: preschoolers (0-6 years), schoolers (7-12 years), and adolescents (13-18 years). Across the 3 age groups, event profiles, severity, and outcomes of injury were compared. Multivariable logistic regressions were used to identify factors associated with the severe trauma, defined as the Injury Severity Score of 16 or higher. @*Results@#Among the total of 367 children, 74 (20.2%) were preschoolers, 73 (19.9%) were schoolers, and 220 (59.9%) were adolescents. The most common injury mechanisms in the preschoolers, schoolers, and adolescents were fall (40.5%), pedestrian collision (32.9%), and motorcycle accident (38.6%), respectively. The adolescents had the highest median Injury Severity Score (13 [6-23]; P < 0.001). In the multivariable analyses, the Glasgow Coma Scale of 3-8 (odds ratio [OR], 14.60; 95% confidence interval, 5.40-39.42) had the highest OR for severe trauma, followed by injury in the abdomen or pelvic contents (OR, 11.61; 95% confidence interval, 4.66-28.89). @*Conclusion@#In pediatric trauma, the mechanism and severity of injury may differ according to age groups, with the severe trauma associated with injuries to the head and torso. It is advisable to have age group-specific approaches and strategies for injury prevention.
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Purpose@#Methods for suicide attempt are largely divided into poisoning and non-poisoning, which differ in clinical features and severity. We aimed to investigate the clinical features of adolescents with suicide attempt and factors associated with poor outcomes from the 2 methods. @*Methods@#A retrospective study was conducted on adolescents (10-18 years) who visited the emergency department after suicide attempt from 2011 through 2018. The adolescents were divided into the poisoning and non-poisoning groups. We analyzed the differences of clinical features and outcomes between the 2 groups. Poor outcomes were defined as hospitalization to the intensive care unit or death. Factors associated with poor outcomes were investigated using multivariable logistic regression. @*Results@#Of 4,335 adolescents in total, 2,134 (49.2%) were categorized as the poisoning group. In this group, the adolescents with poor outcomes used acetaminophen most frequently (26.5%), followed by sedative or antipsychotics (22.3%). In the non-poisoning group, those with the outcomes used fall from height (73.2%) most commonly, followed by hanging (21.0%). The factors associated with the outcomes were age (for increment of 1 year; odds ratio, 1.11; 95% confidence interval, 1.02-1.22) in the poisoning group, and being boys (1.34; 1.03-1.73) and non-use of alcohols (2.87; 1.73-4.74) in the non-poisoning group. @*Conclusion@#In adolescents who used poisoning for suicide attempt, increasing age is associated with poor outcomes. The outcomes are associated with being boys and non-use of alcohols in those who used non-poisoning methods.
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Purpose@#The aim of this study was to analyze the age group characteristics and factors associated with the severe trauma in children who visited a regional trauma center. @*Methods@#We reviewed children aged 18 years or younger who visited a regional trauma center, equivalent to level 1 trauma centers in the United States, in Incheon, Korea from July 2014 through December 2019. They were classified by the age groups: preschoolers (0-6 years), schoolers (7-12 years), and adolescents (13-18 years). Across the 3 age groups, event profiles, severity, and outcomes of injury were compared. Multivariable logistic regressions were used to identify factors associated with the severe trauma, defined as the Injury Severity Score of 16 or higher. @*Results@#Among the total of 367 children, 74 (20.2%) were preschoolers, 73 (19.9%) were schoolers, and 220 (59.9%) were adolescents. The most common injury mechanisms in the preschoolers, schoolers, and adolescents were fall (40.5%), pedestrian collision (32.9%), and motorcycle accident (38.6%), respectively. The adolescents had the highest median Injury Severity Score (13 [6-23]; P < 0.001). In the multivariable analyses, the Glasgow Coma Scale of 3-8 (odds ratio [OR], 14.60; 95% confidence interval, 5.40-39.42) had the highest OR for severe trauma, followed by injury in the abdomen or pelvic contents (OR, 11.61; 95% confidence interval, 4.66-28.89). @*Conclusion@#In pediatric trauma, the mechanism and severity of injury may differ according to age groups, with the severe trauma associated with injuries to the head and torso. It is advisable to have age group-specific approaches and strategies for injury prevention.
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Purpose@#Methods for suicide attempt are largely divided into poisoning and non-poisoning, which differ in clinical features and severity. We aimed to investigate the clinical features of adolescents with suicide attempt and factors associated with poor outcomes from the 2 methods. @*Methods@#A retrospective study was conducted on adolescents (10-18 years) who visited the emergency department after suicide attempt from 2011 through 2018. The adolescents were divided into the poisoning and non-poisoning groups. We analyzed the differences of clinical features and outcomes between the 2 groups. Poor outcomes were defined as hospitalization to the intensive care unit or death. Factors associated with poor outcomes were investigated using multivariable logistic regression. @*Results@#Of 4,335 adolescents in total, 2,134 (49.2%) were categorized as the poisoning group. In this group, the adolescents with poor outcomes used acetaminophen most frequently (26.5%), followed by sedative or antipsychotics (22.3%). In the non-poisoning group, those with the outcomes used fall from height (73.2%) most commonly, followed by hanging (21.0%). The factors associated with the outcomes were age (for increment of 1 year; odds ratio, 1.11; 95% confidence interval, 1.02-1.22) in the poisoning group, and being boys (1.34; 1.03-1.73) and non-use of alcohols (2.87; 1.73-4.74) in the non-poisoning group. @*Conclusion@#In adolescents who used poisoning for suicide attempt, increasing age is associated with poor outcomes. The outcomes are associated with being boys and non-use of alcohols in those who used non-poisoning methods.
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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.
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Objective@#Personal mobility vehicles (PMV) have been used widely as a means of replacing bicycles in recent yearsbecause of their convenience and high economic efficiency. On the other hand, accidents related to PMV are alsoincreasing, but there have been few studies in this area. This study examined the factors that increase the severity ofdamage and determine the characteristics of the PMV compared to the accidents on a bicycle. @*Methods@#Retrospective observational studies were performed. The variables related to the accident were collected andanalyzed for patients who visited the emergency room due to a PMV and bicycle accident. Multivariate logistic regressionanalysis was used to determine the factors affecting the severity of the patients. The odds ratios were calculated andcompared between injuries related to PMV and bicycles. @*Results@#A total of 1,124 patients (bicycles 1,017, PMV 107) were enrolled in this study. In multivariate regression analysis,the severity of PMV was higher (odds ratio [OR], 1.73; 95% confidence interval [CI], 1.06-2.83) than that of a bicycle.The factors affecting the severity of the patients were age (OR, 1.02, 95% CI, 1.01-1.03), alcohol use (OR, 1,70; 95% CI,1.04-2.70), ambulance transport (OR, 2.46; 95% CI, 1.78-3.40), and wearing a helmet (OR, 2.06; 95% CI, 1.36-3.13). @*Conclusion@#PMV showed higher severity of damage than a bicycle. The PMV, which is a new transportation means, isinsufficient for the prevention of safety compared to bicycles where driving regulations and wearing protective equipmentare common. Additional studies on the precise mechanisms of injury and damage are expected to prevent accidents andreduce their severity.
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Objective@#No studies have evaluated the diagnostic value of ischemia-modified albumin (IMA) for the early detection of sepsis/septic shock in patients presenting to the emergency department (ED). We aimed to assess the usefulness of IMA in diagnosing sepsis/septic shock in the ED. @*Methods@#This retrospective, observational study analyzed IMA, lactate, high sensitivity C-reactive protein, and procalcitonin levels measured within 1 hour of ED arrival. Patients with suspected infection meeting at least two systemic inflammatory response syndrome criteria were included and classified into the infection, sepsis, and septic shock groups using Sepsis-3 definitions. Areas under the receiver operating characteristic curves (AUCs) with 95% confidence intervals (CIs) and multivariate logistic regression were used to determine diagnostic performance. @*Results@#This study included 300 adult patients. The AUC (95% CI) of IMA levels (cut-off ≥85.5 U/mL vs. ≥87.5 U/mL) was higher for the diagnosis of sepsis than for that of septic shock (0.729 [0.667–0.791] vs. 0.681 [0.613–0.824]) and was higher than the AUC of procalcitonin levels (cut-off ≥1.58 ng/mL, 0.678 [0.613–0.742]) for the diagnosis of sepsis. When IMA and lactate levels were combined, the AUCs were 0.815 (0.762–0.867) and 0.806 (0.754–0.858) for the diagnosis of sepsis and septic shock, respectively. IMA levels independently predicted sepsis (odds ratio, 1.05; 95% CI, 1.00–1.09; P=0.029) and septic shock (odds ratio, 1.07; 95% CI, 1.02–1.11; P=0.002). @*Conclusion@#Our findings indicate that IMA levels are a useful biomarker for diagnosing sepsis/ septic shock early, and their combination with lactate levels can enhance the predictive power for early diagnosis of sepsis/septic shock in the ED.
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Objective@#Alcohol consumption is associated with an increased risk of injuries. However, its effects on injury severity and mortality remain unclear. Specifically, the effects of alcohol intake on the severity of slip injuries have not been thoroughly investigated. Therefore, our study aimed to investigate the effects of alcohol intake on injury patterns and severity in patients experiencing slip injuries. @*Methods@#Emergency department surveillance data collected from 2011 to 2016 were analyzed for this study. Among patients aged 15 and older who were admitted for slip injuries, we compared the type and severity of injuries between the alcohol-intake group and the no-alcohol-intake group. Injury severity was classified as non-severe and severe based on the excess mortality ratio-adjusted injury severity score. @*Results@#In total, 227,548 (alcohol-intake, n=48,581; no-alcohol-intake, n=178,967) patients were included. After adjusting for age, time of injury, use of public ambulance, and season, multivariate logistic regression analysis showed that injuries were more likely to be severe in the alcohol-intake group than in the no-alcohol-intake group (odds ratio, 1.60; 95% confidence interval, 1.47–1.75). In addition, male gender and alcohol consumption had a greater synergistic effect on injury severity than the mere sum of each effect of these factors (odds ratio, 2.65; 95% confidence interval, 2.53–2.78). @*Conclusion@#Assessment of the patients influenced by alcohol was a challenge in the emergency department due to altered mental status. We suggest a considerate approach in testing and assessing male patients who slipped after alcohol-intake in the emergency department.