Vitamin D deficiency as a risk factor for sudden cardiac arrest: A multicenter case-control study.

BACKGROUND AND AIMS: Vitamin D is known to influence the risk of cardiovascular disease, which is a recognized risk factor for sudden cardiac arrest (SCA). However, the relationship between vitamin D and SCA is not well understood. Therefore, this study aims to investigate the association between vitamin D and SCA in out-of-hospital cardiac arrest (OHCA) patients compared to healthy controls. METHODS AND RESULTS: Using the Phase II Cardiac Arrest Pursuit Trial with Unique Registration and Epidemiologic Surveillance (CAPTURES II) registry, a 1:1 propensity score-matched case-control study was conducted between 2017 and 2020. Serum 25-hydroxyvitamin D (vitamin D) levels in patients with OHCA (454 cases) and healthy controls (454 cases) were compared after matching for age, sex, cardiovascular risk factors, and lifestyle behaviors. The mean vitamin D levels were 14.5 ± 7.6 and 21.3 ± 8.3 ng/mL among SCA cases and controls, respectively. Logistic regression analysis was used adjusting for cardiovascular risk factors, lifestyle behaviors, corrected serum calcium levels, and estimated glomerular filtration rate (eGRF). The adjusted odds ratio (aOR) for vitamin D was 0.89 (95% confidence interval [CI] 0.87-0.91). The dose-response relationship demonstrated that vitamin D deficiency was associated with SCA incidence (severe deficiency, aOR 10.87, 95% CI 4.82-24.54; moderate deficiency, aOR 2.24, 95% CI 1.20-4.20). CONCLUSION: Vitamin D deficiency was independently and strongly associated with an increased risk of SCA, irrespective of cardiovascular and lifestyle factors, corrected calcium levels, and eGFR.

Association Between Ambulance Station Case Volume and Clinical Outcomes in Moderate to Severe Trauma.

OBJECTIVES: The effect of the case volume of emergency medical services (EMS) on the clinical outcomes of trauma is uncertain. The purpose of this study was to evaluate the association between the case volume of an ambulance station and clinical outcomes in moderate to severe trauma patients. METHODS: Adult trauma patients with injury severity scores greater than 8 who were transported by the EMS between 2018 and 2019 were analyzed. The main exposure was the annual case volume of moderate to severe trauma at the ambulance station where the patient-transporting ambulance was based: low-volume (less than 60 cases), intermediate-volume (between 60 and 89 cases), and high-volume (equal or greater than 90 cases). The primary outcome was in-hospital mortality. Multilevel multivariable logistic regression analysis was conducted to calculate adjusted odds ratios (AORs) and 95% confidence intervals (CIs), with the high-volume group used as the reference. RESULTS: In total, 21,498 trauma patients were analyzed. The high-volume group exhibited lower in-hospital mortality, 447 (9.0%), compared to 867 (14.1%) in the intermediate-volume group and 1,458 (14.1%) in the low-volume group. There were a significantly higher odds of in-hospital mortality: the low-volume group (AOR 95% CI: 1.20 (0.95-1.51)) and intermediate-volume group (AOR 95% CI: 1.29 (1.02-1.64)) when compared to the high-volume group. CONCLUSIONS: The case volume at an ambulance station is associated with in-hospital mortality in patients with moderate to severe trauma. These results should be considered when constructing an EMS system and education program for prehospital trauma care.

Modified physiologic criteria for the field triage scheme: Efficacy of major trauma recognition in different age groups in Asia.

BACKGROUND: Major trauma is a leading cause of unexpected death globally, with increasing age-adjusted death rates for unintentional injuries. Field triage schemes (FTSs) assist emergency medical technicians in identifying appropriate medical care facilities for patients. While full FTSs may improve sensitivity, step-by-step field triage is time-consuming. A simplified FTS (sFTS) that uses only physiological and anatomical criteria may offer a more rapid decision-making process. However, evidence for this approach is limited, and its performance in identifying all age groups requiring trauma center resources in Asia remains unclear. METHODS: We conducted a multinational retrospective cohort study involving adult trauma patients admitted to emergency departments in the included countries from 2016 to 2020. Prehospital and hospital data were reviewed from the Pan-Asia Trauma Outcomes Study database. Patients aged ≥18 years transported by emergency medical services were included. Patients lacking data regarding age, sex, physiological criteria, or injury severity scores were excluded. We examined the performance of sFTS in all age groups and fine-tuned physiological criteria to improve sFTS performance in identifying high-risk trauma patients in different age groups. RESULTS: The sensitivity and specificity of the physiological and anatomical criteria for identifying major trauma (injury severity score ≥ 16) were 80.6% and 58.8%, respectively. The modified sFTS showed increased sensitivity and decreased specificity, with more pronounced changes in the young age group. Adding the shock index further increased sensitivity in both age groups. CONCLUSIONS: sFTS using only physiological and anatomical criteria is suboptimal for Asian adult patients with trauma of all age groups. Adjusting the physiological criteria and adding a shock index as a triage tool can improve the sensitivity of severely injured patients, particularly in young age groups. A swift field triage process can maintain acceptable sensitivity and specificity in severely injured patients.

Association between out-of-hospital cardiac arrest quality indicator and prehospital management and clinical outcomes for major trauma.

INTRODUCTION: It is unclear whether emergency medical service (EMS) agencies with good out-of-hospital cardiac arrest (OHCA) quality indicators also perform well in treating other emergency conditions. We aimed to evaluate the association of an EMS agency's non-traumatic OHCA quality indicators with prehospital management processes and clinical outcomes of major trauma. METHODS: This retrospective cross-sectional study analyzed data from registers of nationwide, population-based OHCA (adult EMS-treated non-traumatic OHCA patients from 2017 to 2018) and major trauma (adult, EMS-treated, and injury severity score ≥16 trauma patients in 2018) in South Korea. We developed a prehospital ROSC prediction model to categorize EMS agencies into quartiles (Q1-Q4) based on the observed-to-expected (O/E) ROSC ratio for each EMS agency. We evaluated the national EMS protocol compliance of on-scene management according to O/E ROSC ratio quartile. The association between O/E ROSC ratio quartiles and trauma-related early mortality was determined in a multi-level logistic regression model by adjusted odds ratios (OR) and 95 % confidence intervals (95 % CI). RESULTS: Among 30,034 severe trauma patients, 4,836 were analyzed. Patients in Q4 showed the lowest early mortality rate (5.6 %, 5.5 %, 4.8 %, and 3.4 % in Q1, Q2, Q3, and Q4, respectively). In groups Q1 to Q4, increasing compliance with the national EMS on-scene management protocol (trauma center transport, basic airway management for patients with altered mentality, spinal motion restriction for patients with spinal injury, and intravenous access for patients with hypotension) was observed (p for trend <0.05). Multivariable multi-level logistic regression analysis showed significantly lower early mortality in Q4 than in Q1 (adjusted OR [95 % CI] 0.56 [0.35-0.91]). CONCLUSION: Major trauma patients managed by EMS agencies with high success rates in achieving prehospital ROSC in non-traumatic OHCA were more likely to receive protocol-based care and exhibited lower early mortality.

Implementation of the new acts on driving under the influence of alcohol and clinical outcomes for patients severely injured in road traffic crashes.

OBJECTIVE: Driving under the influence (DUI) of alcohol is a major risk factor for fatal road traffic injuries (RTIs) worldwide. This study aimed to investigate the relationship between the implementation of new acts on DUI of alcohol and the clinical outcomes of patients with severe RTIs in Korea. METHODS: This is a community-based cross-sectional study using a nationwide severe trauma registry in Korea. In 2018, 2 acts with the Yoon Chang-Ho Act (Yoon's Act) were passed to strengthen the punishment for drunk driving fatal RTIs (first Yoon's act) and lower the blood alcohol concentration limit to restrict driver's licenses (second Yoon's act). The first Yoon's act was implemented on December 18, 2018, and the second Yoon's act was implemented on June 25, 2019. The study periods were categorized as pre-Act-1, pre-Act-2, Act-1, and Act-2 according to the application of Yoon's Act, and the study outcome was in-hospital mortality. Multivariable logistic regression analysis was conducted to estimate the relationship of the new acts and in-hospital mortality. RESULTS: Among a total of 20,376 patients with severe RTIs and 7,928 patients (drivers) with RTIs (hereafter drivers), the in-hospital mortality rates were 20.8% and 17.0%, and alcohol-related RTIs accounted for 9.7% and 8.1%, respectively. Severe RTIs tended to increase with each period (25.5 cases/day, 24.5 cases/day, 26.8 cases/day, and 30.4 cases/day, P for trend <.01). In-hospital mortality significantly decreased during the Act-2 period compared to the pre-Act-2 period for all patients with severe RTIs (adjusted odds ratio = 0.54, 95% confidence interval 0.43-0.67) and drivers with RTIs (adjusted odds ratio = 0.50, 95% confidence interval 0.34-0.73). CONCLUSIONS: Implementation of the new acts on DUI of alcohol was associated with lower odds for in-hospital mortality for patients with severe RTIs. Further studies are needed to evaluate the long-term impact of the new acts on reducing alcohol-related RTIs.

Epidemiology of Non-Emergent Cancer-Related Emergency Department Visits in Korea between 2016 and 2020.

PURPOSE: As people living with cancer increase in the aging society, cancer-related emergency department (ED) visits are also increasing. This study aimed to investigate the epidemiologic characteristics of non-emergent cancer-related ED visits using a nationwide ED database. MATERIALS AND METHODS: A cross-sectional study was conducted using the National Emergency Department Information System (NEDIS) database. All cancer-related ED visits between 2016 and 2020 were included. The study outcome was non-emergent ED visits, defined as patients triaged into non-emergent condition at both the time of arrival at ED and discharge from ED and were discharged without hospitalization. RESULTS: Among 1185871 cancer-related ED visits over 5 years, 19.0% (n=225491) were classified as non-emergent visits. While abdominal pain and fever are the top chief complaints in both emergent and non-emergent visits, non-emergent visits had high proportions of abdomen distension (4.8%), ascite (2.4%), and pain in lower limb (2.0%) compared with emergent visits. The cancer types with a high proportion of non-emergent visits were thyroid (32.4%) and prostate cancer (30.4%). Adults compared with children or older adults, female, medical aid insurance, urban/rural ED, direct-in compared with transfer-in, and weekend visit were associated with high odds for non-emergent visits. CONCLUSION: Approximately 20% of cancer-related ED visits may be potentially non-emergent. A significant number of non-emergent patients visited the ED due to cancer-related symptoms. To improve the quality of care for people living with cancer, the expansion of supportive care resources besides of ED, including active symptom control, is necessary.

Disparity in guideline adherence for prehospital care according to patient age in emergency medical service transport for moderate to severe trauma.

OBJECTIVES: The aim of this study was to investigate the association between patient age and guideline adherence for prehospital care in emergency medical services (EMS) for moderate to severe trauma. METHODS: This was a retrospective observational study that used a nationwide EMS-based trauma database from 2016 to 2019. Adult trauma patients whose injury severity score was greater than or equal to nine were screened, and those with cardiac arrest or without outcome data were excluded. The enrolled patients were categorized into four groups according to patient age: young (<45 years), middle-aged (45-64 years), old (65-84 years), and very old (>84 years). The primary outcome was guideline adherence, which was defined as following all prehospital care components: airway management for level of consciousness below verbal response, oxygen supply for pulse oximetry under 94 %, intravenous fluid administration for systolic blood pressure under 90 mmHg, scene resuscitation time within 10 min, and transport to the trauma center or level 1 emergency department. Multivariable logistic regression was conducted to calculate the adjusted odds ratios (aORs) and 95 % confidence intervals (95 % CIs). RESULTS: Among the 430,365 EMS-treated trauma patients, 38,580 patients were analyzed-9,573 (24.8 %) in the young group, 15,296 (39.7 %) in the middle-aged group, 9,562 (24.8 %) in the old group, and 4,149 (10.8 %) in the very old group. The main analysis revealed a lower probability of guideline adherence in the old group (aOR 95 % CI = 0.84 (0.76-0.94)) and very old group (aOR 95 % CI = 0.68 (0.58-0.81)) than in the young group. CONCLUSION: We found disparities in guideline adherence for prehospital care according to patient age at the time of EMS assessment of moderate to severe trauma. Considering this disparity, the prehospital trauma triage and management for older patients needs to be improved and educated to EMS providers.

Establishing the Korean Out-of-Hospital cardiac arrest registry (KOHCAR).

Background: The Korean out-of-hospital cardiac arrest registry (KOHCAR) serves as the basis for a chain of survival monitoring and quality improvement programs for out-of-hospital cardiac arrest (OHCA). This study describes the development history and current status of KOHCAR. Methods/design: The KOHCAR, initiated in 2008, is a population-based OHCA registry that captures all emergency medical service (EMS)-assessed OHCA cases, regardless of etiology. The KOHCAR represents complete nationwide data and aligns with South Korea's comprehensive plan for cardiovascular disease, which has a legal basis. The KOHCAR is a collaboration between the National Fire Agency (NFA) and the Korea Disease Control and Prevention Agency (KDCA). The NFA identifies OHCA patients and provides prehospital information after integrating various EMS records, whereas the KDCA collects hospital information and clinical outcomes through a medical record review. Comprehensive Utstein variables, including patient and arrest characteristics, prehospital and hospital management, and survival outcomes, were collected. Discussion: The KOHCAR has significantly contributed to improving OHCA survival rates in South Korea; however, the COVID-19 pandemic has posed challenge. To address the post-pandemic survival rate decline, there is a need to enhance data utilization, expand data sources, and tailor communication with diverse stakeholders.

The epidemiology and outcomes of severe road traffic injury by road user type in Korea: A nationwide retrospective observational study.

OBJECTIVES: Road traffic injuries (RTIs) pose a significant public health burden, and more than half of these fatalities are attributed to vulnerable road users (VRUs). This study aimed to evaluate the epidemiology and outcomes of severe RTIs in Korea by focusing on different types of road users. METHODS: This is nationwide retrospective observational study. Using data from the Korean Nationwide Severe Trauma Registry, this study analyzed severe RTI cases from 2016 to 2020. The study included EMS-treated severe trauma patients, defining severe RTI as cases with an injury severity score (ISS) ≥16 or out-of-hospital cardiac arrest (OHCA). The main variable of interest was the road user type, classified as motor vehicle occupants (MVOs), pedestrians, motorcyclists, and bicyclists. Trends and injury characteristics by road user type were analyzed, and multivariate logistic regression was conducted to calculate the adjusted odds ratios (AORs) and 95 % confidence intervals (CIs) of road user type for in-hospital mortality. RESULTS: Of the 143,021 EMS-treated severe trauma cases, 24,464 were included in this study. Pedestrians represented the largest group (n = 8,782; 35.9 %). More than half of the patients died (n = 12,620, 51.6 %), and a high proportion of patients had OHCA (n = 10,048, 41.1 %). There was no significant change in the overall severe RTI numbers from 2016 to 2020, but a decrease in pedestrian cases and an increase in motorcyclist cases were noted (both p for trend<0.05). Low usage of safety devices was observed (28.2 % of motor vehicle occupants used seat belts, 35.9 % of motorcyclists used helmets, and 9.6 % of bicyclists used helmets). Head injuries were most common, particularly among bicyclists (77.0 %) and motorcyclists (69.8 %). Compared to motor vehicle occupants, pedestrians (AOR [95 % CI] 1.12 [1.04-1.20]) and others (AOR [95 % CI] 1.30 [1.02-1.65]) had higher odds of mortality, while motorcyclists (AOR [95 % CI] 0.64 [0.59-0.69]) and bicyclists (AOR [95 % CI] 0.68 [0.60-0.76]) had lower odds of mortality. CONCLUSION: We found varying trends and injury characteristics in severe RTIs according to road user type. Adapting prevention strategies for evolving road user patterns, with particular attention to increasing safety device usage and addressing the high mortality associated with severe RTIs are warranted.

Development of Prediction Model for Intensive Care Unit Admission Based on Heart Rate Variability: A Case-Control Matched Analysis.

This study aimed to develop a predictive model for intensive care unit (ICU) admission by using heart rate variability (HRV) data. This retrospective case-control study used two datasets (emergency department [ED] patients admitted to the ICU, and patients in the operating room without ICU admission) from a single academic tertiary hospital. HRV metrics were measured every 5 min using R-peak-to-R-peak (R-R) intervals. We developed a generalized linear mixed model to predict ICU admission and assessed the area under the receiver operating characteristic curve (AUC). Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated from the coefficients. We analyzed 610 (ICU: 122; non-ICU: 488) patients, and the factors influencing the odds of ICU admission included a history of diabetes mellitus (OR [95% CI]: 3.33 [1.71-6.48]); a higher heart rate (OR [95% CI]: 3.40 [2.97-3.90] per 10-unit increase); a higher root mean square of successive R-R interval differences (RMSSD; OR [95% CI]: 1.36 [1.22-1.51] per 10-unit increase); and a lower standard deviation of R-R intervals (SDRR; OR [95% CI], 0.68 [0.60-0.78] per 10-unit increase). The final model achieved an AUC of 0.947 (95% CI: 0.906-0.987). The developed model effectively predicted ICU admission among a mixed population from the ED and operating room.

Seat belt use and cardiac arrest immediately after motor vehicle collision: Nationwide observational study.

Objective: Motor vehicle collisions (MVCs) are known to cause traumatic cardiac arrest; it is unclear whether seat belts prevent this. This study aimed to evaluate the association between seat belt use and immediate cardiac arrest in cases of MVCs. Method: This cross-sectional observational study used data from a nationwide EMS-based severe trauma registry in South Korea. The sample comprised adult patients with EMS-assessed severe trauma due to MVCs between 2018 and 2019. The primary, secondary, and tertiary outcomes were immediate cardiac arrest, in-hospital mortality, and death or severe disability, respectively. We calculated the adjusted odds ratios (AORs) of immediate cardiac arrest with seat belt use after adjusting for potential confounders. Results: Among the 8178 eligible patients, 6314 (77.2 %) and 1864 (29.5 %) were wearing and not wearing seat belts, respectively. Immediate cardiac arrest, mortality, and death/severe disability rates were higher in the "no seat belt use" group than in the "seat belt use" group (9.4 % vs. 4.0 %, 12.4 % vs. 6.2 %, 17.7 % vs. 9.9 %, respectively; p < 0.001). The former group was more likely to experience immediate cardiac arrest (AOR [95 %CI]: 3.29 [2.65-4.08]), in-hospital mortality (AOR [95 %CI]: 2.72 [2.26-3.27]), and death or severe disability (AOR [95 %CI]: 2.40 [2.05-2.80]). Conclusion: There was an association between wearing seat belts during MVCs and a reduced risk of immediate cardiac arrest.

Towards optimal design of patient isolation units in emergency rooms to prevent airborne virus transmission: From computational fluid dynamics to data-driven modeling.

BACKGROUND: Patient isolation units (PIUs) can be an effective method for effective infection control. Computational fluid dynamics (CFD) is commonly used for PIU design; however, optimizing this design requires extensive computational resources. Our study aims to provide data-driven models to determine the PIU settings, thereby promoting a more rapid design process. METHOD: Using CFD simulations, we evaluated various PIU parameters and room conditions to assess the impact of PIU installation on ventilation and isolation. We investigated particle dispersion from coughing subjects and airflow patterns. Machine-learning models were trained using CFD simulation data to estimate the performance and identify significant parameters. RESULTS: Physical isolation alone was insufficient to prevent the dispersion of smaller particles. However, a properly installed fan filter unit (FFU) generally enhanced the effectiveness of physical isolation. Ventilation and isolation performance under various conditions were predicted with a mean absolute percentage error of within 13%. The position of the FFU was found to be the most important factor affecting the PIU performance. CONCLUSION: Data-driven modeling based on CFD simulations can expedite the PIU design process by offering predictive capabilities and clarifying important performance factors. Reducing the time required to design a PIU is critical when a rapid response is required.