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Background@#Previous studies showed that the prognosis for severe trauma patients is better after transport to trauma centers compared to non-trauma centers. However, the benefit from transport to trauma centers may differ according to age group. The aim of this study was to compare the effects of transport to trauma centers on survival outcomes in different age groups among severe trauma patients in Korea. @*Methods@#Cross-sectional study using Korean national emergency medical service (EMS) based severe trauma registry in 2018–2019 was conducted. EMS-treated trauma patients whose injury severity score was above or equal to 16, and who were not out-of-hospital cardiac arrest or death on arrival were included. Patients were classified into 3 groups:pediatrics (age 65). The primary outcome was in-hospital mortality. Multivariable logistic regression analysis was conducted to evaluate the effect of trauma center transport on outcome after adjusting of age, sex, comorbidity, mechanism of injury, Revised Trauma Score, and Injury Severity Score. All analysis was stratified according to the age group, and subgroup analysis for traumatic brain injury was also conducted. @*Results@#Overall, total of 10,511 patients were included in the study, and the number of patients in each age group were 488 in pediatrics, 6,812 in working age, and 3,211 in elderly, respectively. The adjusted odds ratio (95% confidence interval [CI]) of trauma center transport on in-hospital mortality from were 0.76 (95% CI, 0.43–1.32) in pediatrics, 0.78 (95% CI, 0.68–0.90) in working age, 0.71(95% CI, 0.60–0.85) in elderly, respectively. In subgroup analysis of traumatic brain injury, the benefit from trauma center transport was observed only in elderly group. @*Conclusion@#We found out trauma centers showed better clinical outcomes for adult and elderly groups, excluding the pediatric group than non-trauma centers. Further research is warranted to evaluate and develop the response system for pediatric severe trauma patients in Korea.
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Background@#Out-of-hospital cardiac arrest is a major public health concern in Korea.Identifying spatiotemporal patterns of out-of-hospital cardiac arrest incidence and survival outcomes is crucial for effective resource allocation and targeted interventions. Thus, this study aimed to investigate the spatiotemporal epidemiology of out-of-hospital cardiac arrest in Korea, with a focus on identifying high-risk areas and populations and examining factors associated with prehospital outcomes. @*Methods@#We conducted this population-based observational study using data from the Korean out-of-hospital cardiac arrest registry from January 2009 to December 2021. Using a Bayesian spatiotemporal model based on the Integrated Nested Laplace Approximation, we calculated the standardized incidence ratio and assessed the relative risk to compare the spatial and temporal distributions over time. The primary outcome was out-ofhospital cardiac arrest incidence, and the secondary outcomes included prehospital return of spontaneous circulation, survival to hospital admission and discharge, and good neurological outcomes. @*Results@#Although the number of cases increased over time, the spatiotemporal analysis exhibited a discernible temporal pattern in the standardized incidence ratio of out-ofhospital cardiac arrest with a gradual decline over time (1.07; 95% credible interval [CrI], 1.04–1.09 in 2009 vs. 1.00; 95% CrI, 0.98–1.03 in 2021). The district-specific risk ratios of survival outcomes were more favorable in the metropolitan and major metropolitan areas.In particular, the neurological outcomes were significantly improved from relative risk 0.35 (0.31–0.39) in 2009 to 1.75 (1.65–1.86) in 2021. @*Conclusion@#This study emphasized the significance of small-area analyses in identifying high-risk regions and populations using spatiotemporal analyses. These findings have implications for public health planning efforts to alleviate the burden of out-of-hospital cardiac arrest in Korea.
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Purpose@#The awareness time interval (ATI), the time from the witnessed event to emergency medical service (EMS) activation, is an important factor influencing out-of-hospital cardiac arrest (OHCA) outcomes. Since bystander cardiopulmonary resuscitation (BCPR) is provided after cardiac arrest is recognized, the effect of BCPR may vary depending on ATI delay. We aimed to investigate whether ATI modifies the effect of BCPR on OHCA outcomes. @*Materials and Methods@#A population-based observational study was conducted with EMS-treated witnessed adult (≥18 years) OHCAs between 2013 and 2018. The exposure variable was provision of BCPR. The primary outcome was a good neurological outcome defined as cerebral performance category scale 1or 2 (good CPC). Multivariable logistic regression analysis was conducted using the ATI group (–1, 1–5, 5– min) as the interaction term. @*Results@#Of 34366 eligible OHCAs, 65.5% received BCPR. EMS was activated within 1 min in 45.9%, within 1–5 min in 29.2%, and after 5 min in 24.9% cases. In the adjusted interaction model, compared with no BCPR, a longer ATI resulted in smaller adjusted odds ratios for good CPC in the BCPR group [5.33 (4.17–6.82) for ATI ≤1 min, 5.14 (4.00–6.60) for 1–5 min, and 2.14 (1.63–2.81) for ATI >5 min]. @*Conclusion@#The effect of BCPR on improving the chances for a good neurological outcome decreased as time from collapse to EMS activation increased. The importance of early recognition of OHCA and EMS activation should be emphasized in BCPR training.
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Background@#This study aimed to investigate the impact of the coronavirus disease 2019 (COVID-19) outbreak on the Emergency Medical Service (EMS) system in South Korea. The study focused on the differences in EMS time intervals following the COVID-19 outbreak, particularly for patients with fever. @*Methods@#A retrospective analysis of EMS patient transportation data from 2017 to 2022 was conducted using the national EMS database. @*Results@#Starting from the year 2020, coinciding with the COVID-19 outbreak, all EMS time intervals experienced an increase. For the years 2017 to 2022, the mean response time interval values were 8.6, 8.6, 8.6, 10.2, 12.8, and 11.4 minutes, and the mean scene time interval values were 7.1, 7.2, 7.4, 9.0, 9.8, and 10.9 minutes. The mean transport time interval (TTI) values were 12.1, 12.3, 12.4, 14.2, 16.9, and 16.2 minutes, and the mean turnaround time interval values were 27.6, 27.9, 28.7, 35.2, 42.0, and 43.1 minutes. Fever (≥ 37.5°C) patients experienced more pronounced prolongations in EMS time intervals compared to non-fever patients and had a higher probability of being non-transported. The mean differences in TTI between fever and non-fever patients were 0.8, 0.8, 0.8, 4.3, 4.8, and 3.2 minutes, respectively, from 2017 to 2022. Furthermore, the odds ratios for fever patients being transported to the emergency department were 2.7, 2.9, 2.8, 1.1, 0.8, and 0.7, respectively, from 2017 to 2022. @*Conclusion@#The study findings highlight the significant impact of the COVID-19 outbreak on the EMS system and emphasize the importance of ongoing monitoring to evaluate the burden on the EMS system.
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Objective@#To investigate the association between prehospital intravenous (IV) catheter insertion, scene time interval (STI), and fatality in severe trauma patients with hypotension. @*Methods@#This study used a 2018 nationwide emergency medical services (EMS)-based trauma database. Adult severe trauma patients whose injury severity score was above or equal to 16 and whose initial systolic blood pressure was under 90 mmHg were included. Patients were divided into four groups based on whether a prehospital IV catheter was inserted and STI was within 10 minutes-group 1, IV catheter (+) and STI <10 minutes; group 2, IV catheter (+) and STI ≥10 minutes; group 3, IV catheter (-) and STI <10 minutes; and group 4, IV catheter (-) and STI ≥10 minutes. W-score (additional survivor expected for every 100 patients) was used as the outcome index. @*Results@#Among the 30,034 EMS-treated severe trauma patients, 550 patients were analyzed. Group 1 comprised 289 patients (53%), group 2, 159 (29%), group 3, 65 (12%), and group 4, 37 (6.7%). The case fatality rate was 104 (36%) in group 1, 38 (25%) in group 2, 23 (35%) in group 3, and 11 (30%) in group 4. The W-score (95% confidence interval) was 2.42 (2.38 to 2.99) in group 1, 1.89 (1.83 to 2.90) in group 2, -4.62 (-4.70 to -2.94) in group 3, and -5.41 (-5.52 to -3.03) in group 4. @*Conclusion@#Prehospital IV catheter insertion in severe trauma patients with hypotension is beneficial for survival, and the positive effect was prominent when STI was short.
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Objective@#Stroke detection at the prehospital stage is critically important for the provision of rapid treatment to stroke patients. This study aimed to evaluate the effect of patient consciousness level on prehospital stroke screening (PSS) by the emergency medical service (EMS) provider. @*Methods@#This retrospective cross-sectional study was conducted using data collected from a linked database of NEDIS (National Emergency Department Information System) and the EMS database in three hospitals. Adult stroke patients who were admitted into the emergency department (ED) using 119 EMS ambulances from 2014 to 2018 were included. The prehospital level of consciousness of patients was evaluated by the EMS provider, and they were divided into two treatment groups: an alert group and a non-alert group (verbal, painful, and unresponsive). The study outcomes were positive results of PSS: the Los Angeles Prehospital Stroke Scale (LAPSS) and Cincinnati Prehospital Stroke Scale (CPSS). Logistic regression analysis was conducted to evaluate the effect of prehospital consciousness level on the PSS result. @*Results@#A total number of 3,422 stroke patients were included. The positive rate of LAPSS was 17.0% in the alert group and 8.8% in the non-alert group. The positive rate of CPSS was 35.7% in the alert group and 21.3% in the non-alert group. In the adjusted logistic regression model, in the non-alert group, the adjusted odds ratio (AOR) for LAPSS was 0.47 (95% confidence interval [CI], 0.38-0.59) and the AOR for positive CPSS was 0.49 (95% CI, 0.42-0.57). @*Conclusion@#Low consciousness level patients had lower detection of stroke by the EMS provider. EMS provider employees need additional training to achieve more effective detection of stroke in low consciousness level patients.
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Objective@#This study aimed to investigate the association between the change in the National Early Warning Score (NEWS) before and after interhospital transport and the survival of critically ill patients transported by critical care transport. @*Methods@#A retrospective analysis of SMICU (Seoul Mobile Intensive Care Unit) transfer records and the National Emergency Department Information System (NEDIS) was conducted. Adult patients who used SMICU from 2016 to 2018 were included. Trauma patients and post-cardiac arrest patients were excluded. The NEWS before departure from the transferring hospital and the NEWS before the arrival at the receiving hospital were extracted, and the difference between both NEWS (△ NEWS) was calculated. The △ NEWS was categorized into three groups: -2 or less, -1 to 1, and 2 or more. The primary outcome was 24-hour post-transport mortality. Multivariable logistic regression was applied to calculate the adjusted odds ratio (AOR) and 95% confidence interval (CI) for the outcomes. @*Results@#Of the total number of 1,837 patients, 1,065 patients were included. △ NEWS were -2 or less in 131 (12.3%), -1 to 1 in 805 (75.6%), and 2 or more in 129 (12.1%) of the patients. The 24-hour mortality rate was 3.1%, 2.9%, and 7.0% in the △ NEWS≤-2, -1≤△ NEWS≤1, and △ NEWS≥2 groups, respectively. Relative to -1≤△ NEWS≤1, the AORs for the 24-hour mortality were 1.11 (95% CI, 0.38-3.29) in △ NEWS≤-2 and 2.56 (95% CI, 1.15-5.70) in △ NEWS≥2. @*Conclusion@#The changes in NEWS in critical care interhospital transport are associated with patient prognosis.
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Objective@#Various out-of-hospital cardiac arrest (OHCA) prognostication scores have been developed. However, the application of these scores is often limited owing to missing predictor variables. This study aimed to compare and validate various OHCA prognostication scores using simple imputation methods that can easily be applied in clinical situations. @*Methods@#Adult patients presenting with OHCA with a sustained return of spontaneous circulation (ROSC) between October 2015 and June 2020 were the subjects for the analysis. We evaluated six OHCA prognostication scores: the ROSC after cardiac arrest (RACA) score, CaRdiac Arrest Survival Score (CRASS), NULL-PLEASE, predictive score (PS), cardiac arrest hospital prognosis (CAHP) score, and the OHCA score. For missing predictors, median imputation for continuous variables and mode imputation for categorical variables were performed before the analysis. We evaluated the discrimination and calibration powers of each prognostic score for good neurological recovery at discharge. The area under the receiver operating characteristic curve (AUC) was used to assess the discrimination power, and a calibration plot and the Hosmer-Lemeshow test were used to assess the calibration power. @*Results@#Of the 12,321 patients, 5,191 were subjected to analysis. Among them, 924 (17.8%) had good neurological recovery. Certain predictors often had missing values-no-flow time 1,107 (21.3%), low-flow time 862 (16.6%), pH 1,104 (21.3%), lactate 1,820 (35.0%), and creatinine 2,257 (43.5%). After imputing the missing variables, the CAHP score showed the highest AUC (0.957; 95% confidence interval, 0.950-0.963), and the CRASS and PS also presented excellent discrimination power (AUC 0.914 and 0.942, respectively). However, the CAHP and NULL-PLEASE scores were well calibrated (Hosmer-Lemeshow test, P>0.05). @*Conclusion@#Among the six prognostic scores, the CAHP score showed the highest discrimination and calibration powers.
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Many packages for a meta-analysis of genome-wide association studies (GWAS) have beendeveloped to discover genetic variants. Although variations across studies must be considered, there are not many currently-accessible packages that estimate between-study heterogeneity. Thus, we propose a python based application called Beta-Meta which can easilyprocess a meta-analysis by automatically selecting between a fixed effects and a randomeffects model based on heterogeneity. Beta-Meta implements flexible input data manipulation to allow multiple meta-analyses of different genotype-phenotype associations in asingle process. It provides a step-by-step meta-analysis of GWAS for each association inthe following order: heterogeneity test, two different calculations of an effect size and ap-value based on heterogeneity, and the Benjamini-Hochberg p-value adjustment. Thesemethods enable users to validate the results of individual studies with greater statisticalpower and better estimation precision. We elaborate on these and illustrate them with examples from several studies of infertility-related disorders.
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Objective@#The aims of this study were to determine the prevalence of deep vein thrombosis (DVT) and assess the association of concomitant DVT and unfavorable outcomes in patients with acute symptomatic pulmonary embolism (PE). @*Methods@#We conducted a retrospective analysis of patients with acute symptomatic PE by a computed tomography angiography. Study patients were divided into two groups, including unfavorable and favorable outcome groups. Baseline characteristics and radiologic findings were compared between the two groups. Then, binary logistic regression analysis using the unfavorable outcome as a dependent variable was performed to assess whether concomitant DVT was associated with unfavorable outcomes. @*Results@#Of the 128 patients, 67.2% (86 of 128) had concomitant DVT, and 20.3% (26 of 128) had an unfavorable outcome. The median age was 75.0 years (interquartile range, 63.0-82.0 years), and 76 (59.4%) patients were female. Concomitant DVT and proximal DVT were associated with unfavorable outcomes (P<0.05). In multivariate analysis, proximal DVT (adjusted odds ratio, 7.03; 95% confidence interval, 1.01-49.12) was an independent risk factor of unfavorable outcome. @*Conclusion@#In patients with acute symptomatic PE, about two-thirds of patients had DVT. This study suggests that proximal DVT is significantly associated with unfavorable outcomes.
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Purpose@#The objective of this study was to modify and validate an emergency department (ED) triage system with improved prediction performance on hospital outcomes by modifying the Korean Triage and Acuity Scale (KTAS). @*Materials and Methods@#We performed a retrospective observational study at three academic universities in South Korea. The KTAS code, determined by the chief complaint and the selected modifier of a patient, was used to derive the Modified KTAS (MKTAS). We calculated the area under the receiver operating characteristics curve (AUC) and the test characteristics to evaluate the performance of MKTAS to predict hospital mortality, critical outcome, and admission. @*Results@#A total of 272402 and 128831 ED visits were used for the derivation and validation of MKTAS, respectively. Compared to KTAS, MKTAS had significantly higher AUC values for the prediction of hospital mortality [MKTAS 0.826 (0.818–0.835) vs. KTAS 0.794 (0.784–0.803)], critical outcome [MKTAS 0.836 (0.830–0.841) vs. 0.798 (0.792–0.804)], and admission [MKTAS 0.725 (0.723– 0.728) vs. KTAS 0.685 (0.682–0.688)]. The sensitivity for predicting hospital mortality and critical outcome, as well as the specificity for predicting admission, were significantly improved. @*Conclusion@#MKTAS was derived by modifying the KTAS, and then validated. Compared with KTAS, MKTAS showed better discriminating ability to predict hospital outcomes. Continuous efforts to evaluate and modify widely used triage systems are required to improve their performance.
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Objective@#We aimed to identify the association between low serum total cholesterol levels and the risk of out-of-hospital cardiac arrest (OHCA). @*Methods@#This case-control study was performed using datasets from the Cardiac Arrest Pursuit Trial with Unique Registration and Epidemiologic Surveillance (CAPTURES) project and the Korea National Health and Nutrition Examination Survey (KNHANES). Cases were defined as emergency medical service-treated adult patients who experienced OHCA with a presumed cardiac etiology from the CAPTURES project dataset. Four controls from the KNHANES dataset were matched to each case based on age, sex, and county. Multivariable conditional logistic regression analysis was conducted to evaluate the effect of total cholesterol levels on OHCA. @*Results@#A total of 607 matched case-control pairs were analyzed. We classified total cholesterol levels into six categories (<148, 148-166.9, 167-189.9, 190-215.9, 216.237.9, and ≥238 mg/dL) according to the distribution of total cholesterol levels in the KNHANES dataset. Subjects with a total cholesterol level of 167-189.9 mg/dL (25th.49th percentile of the KNHANES dataset) were used as the reference group. In both the adjusted models and sensitivity analysis, a total cholesterol level of <148 mg/dL was significantly associated with OHCA (adjusted odds ratio [95% confidence interval], 6.53 [4.47.9.56]). @*Conclusion@#We identified an association between very-low total cholesterol levels and an increased risk of OHCA in a large, community-based population. Future prospective studies are needed to better understand how a low lipid profile is associated with OHCA.
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Objective@#The Trauma and Injury Severity Score (TRISS) has been used to predict trauma patient mortality and to assess the quality of trauma care systems. The goal of this investigation was to develop a modified trauma-related injury severity score (termed the TRISS-D) for predicting disability in acute trauma patients. @*Methods@#We used data collected by emergency medical services and entered into the Korea Centers for Disease Control and Prevention severe trauma database. The TRISS-D was based on age category (0–14, 15–54, ≥55 years), the Revised Trauma Score, and the Injury Severity Score. The outcome measures were severe disability and worsening disability. Worsening disability was defined as a lower Glasgow Outcome Scale score at hospital discharge than before the traumatic incident. Two types of cases were examined: those with penetrating or blunt injuries (group 1) and those with severe head injuries (group 2). We assessed the discriminatory power of the TRISS-D by calculating the area under a receiver operating characteristic curve (AUROC). @*Results@#The database comprised 14,791 patients; overall, 3,757 (25%) had severe disability and 6,018 (41%) had worsening disability. For severe disability, the AUROC (95% confidence interval) for the TRISS-D was 0.948 (0.944–0.952) in group 1 and 0.950 (0.946–0.954) in group 2. The corresponding values for worsening disability were 0.810 (0.803–0.817) and 0.816 (0.809–0.823), respectively. @*Conclusion@#The TRISS-D showed excellent discriminatory power for severe disability and very good discriminatory power for worsening disability.
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Objective@#The Trauma and Injury Severity Score (TRISS) has been used to predict trauma patient mortality and to assess the quality of trauma care systems. The goal of this investigation was to develop a modified trauma-related injury severity score (termed the TRISS-D) for predicting disability in acute trauma patients. @*Methods@#We used data collected by emergency medical services and entered into the Korea Centers for Disease Control and Prevention severe trauma database. The TRISS-D was based on age category (0–14, 15–54, ≥55 years), the Revised Trauma Score, and the Injury Severity Score. The outcome measures were severe disability and worsening disability. Worsening disability was defined as a lower Glasgow Outcome Scale score at hospital discharge than before the traumatic incident. Two types of cases were examined: those with penetrating or blunt injuries (group 1) and those with severe head injuries (group 2). We assessed the discriminatory power of the TRISS-D by calculating the area under a receiver operating characteristic curve (AUROC). @*Results@#The database comprised 14,791 patients; overall, 3,757 (25%) had severe disability and 6,018 (41%) had worsening disability. For severe disability, the AUROC (95% confidence interval) for the TRISS-D was 0.948 (0.944–0.952) in group 1 and 0.950 (0.946–0.954) in group 2. The corresponding values for worsening disability were 0.810 (0.803–0.817) and 0.816 (0.809–0.823), respectively. @*Conclusion@#The TRISS-D showed excellent discriminatory power for severe disability and very good discriminatory power for worsening disability.
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Background@#s: The severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) has spread worldwide. Cardiac injury after SARS-CoV-2 infection is a major concern. The present study investigated impact of the biomarkers indicating cardiac injury in coronavirus disease 2019 (COVID-19) on patients' outcomes. @*Methods@#This study enrolled patients who were confirmed to have COVID-19 and admitted at a tertiary university referral hospital between February 19, 2020 and March 15, 2020. Cardiac injury was defined as an abnormality in one of the following result markers: 1) myocardial damage marker (creatine kinase-MB or troponin-I), 2) heart failure marker (N-terminal-pro B-type natriuretic peptide), and 3) electrical abnormality marker (electrocardiography). The relationship between each cardiac injury marker and mortality was evaluated. Survival analysis of mortality according to the scoring by numbers of cardiac injury markers was also performed. @*Results@#A total of 38 patients with COVID-19 were enrolled. Twenty-two patients (57.9%) had at least one of cardiac injury markers. The patients with cardiac injuries were older (69.6 ± 14.9 vs. 58.6 ± 13.9 years old, P = 0.026), and were more male (59.1% vs. 18.8%, P = 0.013).They showed lower initial oxygen saturation (92.8 vs. 97.1%, P = 0.002) and a trend toward higher mortality (27.3 vs. 6.3%, P = 0.099). The increased number of cardiac injury markers was significantly related to a higher incidence of in-hospital mortality which was also evidenced by Kaplan-Meier survival analysis (P = 0.008). @*Conclusion@#The increased number of cardiac injury markers is related to in-hospital mortality in patients with COVID-19.
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Objective@#Little is known about percutaneous coronary intervention (PCI) and its benefits in elderly patients with out-of-hospital cardiac arrest (OHCA). This study compared the survival to discharge and the neurological outcomes across the age groups of patients with OHCA. @*Methods@#Using the national cardiac arrest registry, OHCA patients with a return of spontaneous circulation from 2013 to 2017 were included in this study. The PCI history of the patients was obtained from their medical records. The outcomes were cerebral performance category (CPC) 1 and 2 and survival to discharge. Multivariable logistic regression analysis was performed, and an interaction term was evaluated to compare the effects of PCI across the age groups. @*Results@#This study included 22,320 patients. In the interaction term, the adjusted odds ratio (AOR) (95% confidence interval [CI]) for a good CPC was 2.84 (2.43-3.32) for the age group of 18-64 years, 3.26 (2.53-4.21) for the age group of 65-74 years, 3.37 (2.33-4.88) for the age group of 75-84 years, and 2.54 (0.92-7.01) for the age group of 85-106 years. The AOR (95% CI) for survival to hospital discharge was 3.31 (2.82-3.88) for the age group of 18-64 years, 2.65 (2.09-3.35) for the age group of 65-74 years, 2.20 (1.61-3.02) for the age group of 75-84 years, and 1.64 (0.73-3.67) for the age group of 85-106 years. @*Conclusion@#In the OHCA patients, the PCI group had more good outcomes (good CPC, survival to discharge) than the non-PCI group, but this benefit was not shown in those aged over 85 years. On the other hand, it could not explain why PCI should not be performed in the elderly, suggesting that age alone should not be used to make decisions regarding early invasive strategies.
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OBJECTIVE: Despite increased survival in patients with cardiac arrest, it remains difficult to determine patient prognosis at the early stage. This study evaluated the prognosis of cardiac arrest patients using brain injury, inflammation, cardiovascular ischemic events, and coagulation/fibrinolysis markers collected 24, 48, and 72 hours after return of spontaneous circulation (ROSC).METHODS: From January 2011 to December 2016, we retrospectively observed patients who underwent therapeutic hypothermia. Blood samples were collected immediately and 24, 48, and 72 hours after ROSC. Neuron-specific enolase (NSE), S100-B protein, procalcitonin, troponin I, creatine kinase-MB, pro-brain natriuretic protein, D-dimer, fibrin degradation product, antithrombin-III, fibrinogen, and lactate levels were measured. Prognosis was evaluated using Glasgow-Pittsburgh cerebral performance categories and the predictive accuracy of each marker was evaluated. The secondary outcome was whether the presence of multiple markers improved prediction accuracy.RESULTS: A total of 102 patients were included in the study: 39 with good neurologic outcomes and 63 with poor neurologic outcomes. The mean NSE level of good outcomes measured 72 hours after ROSC was 18.50 ng/mL. The area under the curve calculated on receiver operating characteristic analysis was 0.92, which showed the best predictive power among all markers included in the study analysis. The relative integrated discrimination improvement and category-free net reclassification improvement models showed no improvement in prognostic value when combined with all other markers and NSE (72 hours).CONCLUSION: Although biomarker combinations did not improve prognostic accuracy, NSE (72 hours) showed the best predictive power for neurological prognosis in patients who received therapeutic hypothermia.
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Humans , Biomarkers , Brain Injuries , Creatine , Discrimination, Psychological , Fibrin , Fibrinogen , Heart Arrest , Hypothermia, Induced , Inflammation , Lactic Acid , Phosphopyruvate Hydratase , Prognosis , Retrospective Studies , ROC Curve , Troponin Iالملخص
OBJECTIVE: Assessing the severity of injury and predicting outcomes are essential in traumatic brain injury (TBI). However, the respiratory rate and Glasgow Coma Scale (GCS) of the Revised Trauma Score (RTS) are difficult to use in the prehospital setting. This investigation aimed to develop a new prehospital trauma score for TBI (NTS-TBI) to predict mortality and disability.METHODS: We used a nationwide trauma database on severe trauma cases transported by fire departments across Korea in 2013 and 2015. NTS-TBI model 1 used systolic blood pressure < 90 mmHg, peripheral capillary oxygen saturation < 90% measured via pulse oximeter, and motor component of GCS. Model 2 comprised variables of model 1 and age >65 years. We assessed discriminative power via area under the curve (AUC) value for in-hospital mortality and disability defined according to the Glasgow Outcome Scale with scores of 2 or 3. We then compared AUC values of NTS-TBI with those of RTS.RESULTS: In total, 3,642 patients were enrolled. AUC values of NTS-TBI models 1 and 2 for mortality were 0.833 (95% confidence interval [CI], 0.815 to 0.852) and 0.852 (95% CI, 0.835 to 0.869), respectively, while AUC values for disability were 0.772 (95% CI, 0.749 to 0.796) and 0.784 (95% CI, 0.761 to 0.807), respectively. AUC values of NTS-TBI model 2 for mortality and disability were higher than those of RTS (0.819 and 0.761, respectively) (P < 0.01).CONCLUSION: Our NTS-TBI model using systolic blood pressure, motor component of GCS, oxygen saturation, and age was feasible for prehospital care and showed outstanding discriminative power for mortality.
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Humans , Hypoxia , Area Under Curve , Blood Pressure , Brain Injuries , Capillaries , Fires , Glasgow Coma Scale , Glasgow Outcome Scale , Hospital Mortality , Hypotension , Korea , Mortality , Observational Study , Oxygen , Quality Improvement , Respiratory Rateالملخص
OBJECTIVE: This study aimed to achieve expert consensus for the evaluation of Emergency medical system operation fund (EMSOF) support projects using the Delphi method in Korea. METHODS: The Delphi study was performed in June 2018. Experts who are members of the policy committee of the Korean Society of Emergency Medicine (KSEM) participated in the study. Respondents were asked to express their level of agreement of appropriateness for the following 6 categories for 21 projects: project contents, amount of support, indicators, performance, overall evaluation, and need to maintain. With a possible score of 9 points, the project categories were classified into 3 groups, inappropriate, moderate and appropriate, based on the median score of the respondents' ratings in each question. RESULTS: Sixteen of the 18 policy committee members participated in the survey. Their average professional work years were 8.2 years. All 21 projects were evaluated as appropriate for content. Amount of support and indicators were evaluated as moderate. Only 5 out of the 21 projects were evaluated as having appropriate indicators. No projects were evaluated as ineffective. Comprehensive evaluation of the projects was evaluated as moderate, and no project was evaluated as inappropriate in fund support. CONCLUSION: Overall, the contents of the EMSOF assistance project were rated high; however, there was a disagreement on the amount of support and evaluation indicators for each project. The results of this study are expected to be used as basic data to improve the use of EMSOF.
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Committee Membership , Consensus , Delphi Technique , Emergencies , Emergency Medicine , Financial Management , Korea , Methods , Resource Allocation , Surveys and Questionnairesالملخص
BACKGROUND: Traumatic brain injury (TBI) is one of the leading causes of pediatric disability that results in many emergency department visits. The risk of TBI is high while playing sports. The aim of this study was to examine the demographics and clinical characteristics of sports-related TBI. METHODS: We performed a multicenter observational study using the Emergency Department–Based Injury In-Depth Surveillance database in Korea. Patients aged 5 to 18 years old, who sustained unintentional, sports-related head injuries between January 2011 and December 2016 were included. The type of sports was the main variable of interest, and it was classified into 6 categories. The primary outcome was TBI, and the secondary outcome was intracranial injury and hospital admission. A multivariable logistic regression analysis was performed to calculate the adjusted odds ratios (aORs) with 95% confidence intervals for the outcomes by sports type. RESULTS: Of the 1,537,617 injured patients, 10,717 (0.7%) patients were included in the study. Most of the patients were male (87.5%), and the most prevalent sports type was field sports (51.2%). The proportion of TBI, intracranial injury, and admission were 15.7%, 1.2%, and 3.5%, respectively. The aORs of TBI, intracranial injury, and admission in bicycle and street sports compared to field sports were 1.77 (1.37–2.28), 4.99 (2.62–9.50), and 2.27 (1.42–3.61) respectively. CONCLUSION: This is the first nationwide epidemiologic study of pediatric sports-related TBI in Korea. The ratios of TBI, intracranial injury and admission were highest in bicycle and street sports. Prevention strategies for pediatric sports-related TBI can be developed according to sports types.