Background: Malnutrition exacerbates the prognosis of numerous diseases; however, its specific impact on severe coronavirus disease 2019 (COVID-19) outcomes remains insufficiently explored. Methods: This multicenter study in Korea evaluated the nutritional status of 1,088 adults with severe COVID-19 using the Geriatric Nutritional Risk Index (GNRI) based on serum albumin levels and body weight. The patients were categorized into two groups: GNRI >98 (no-risk) and GNRI ≤98 (risk). Propensity score matching, adjusted for demographic and clinical variables, was conducted. Results: Of the 1,088 patients, 642 (59%) were classified as at risk of malnutrition. Propensity score matching revealed significant disparities in hospital (34.3% vs. 19.4%, p<0.001) and intensive care unit (ICU) mortality (31.5% vs. 18.9%, p<0.001) between the groups. The risk group was associated with a higher hospital mortality rate in the multivariate Cox regression analyses following propensity score adjustment (hazard ratio [HR], 1.64; p=0.001). Among the 670 elderly patients, 450 were at risk of malnutrition. Furthermore, the risk group demonstrated significantly higher hospital (52.1% vs. 29.5%, p<0.001) and ICU mortality rates (47.2% vs. 29.1%, p<0.001). The risk group was significantly associated with increased hospital mortality rates in the multivariate analyses following propensity score adjustment (HR, 1.66; p=0.001). Conclusion Malnutrition, as indicated by a low GNRI, was associated with increased mortality in patients with severe COVID-19. This effect was also observed in the elderly population. These findings underscore the critical importance of nutritional assessment and effective interventions for patients with severe COVID-19.

Background: Malnutrition exacerbates the prognosis of numerous diseases; however, its specific impact on severe coronavirus disease 2019 (COVID-19) outcomes remains insufficiently explored. Methods: This multicenter study in Korea evaluated the nutritional status of 1,088 adults with severe COVID-19 using the Geriatric Nutritional Risk Index (GNRI) based on serum albumin levels and body weight. The patients were categorized into two groups: GNRI >98 (no-risk) and GNRI ≤98 (risk). Propensity score matching, adjusted for demographic and clinical variables, was conducted. Results: Of the 1,088 patients, 642 (59%) were classified as at risk of malnutrition. Propensity score matching revealed significant disparities in hospital (34.3% vs. 19.4%, p<0.001) and intensive care unit (ICU) mortality (31.5% vs. 18.9%, p<0.001) between the groups. The risk group was associated with a higher hospital mortality rate in the multivariate Cox regression analyses following propensity score adjustment (hazard ratio [HR], 1.64; p=0.001). Among the 670 elderly patients, 450 were at risk of malnutrition. Furthermore, the risk group demonstrated significantly higher hospital (52.1% vs. 29.5%, p<0.001) and ICU mortality rates (47.2% vs. 29.1%, p<0.001). The risk group was significantly associated with increased hospital mortality rates in the multivariate analyses following propensity score adjustment (HR, 1.66; p=0.001). Conclusion Malnutrition, as indicated by a low GNRI, was associated with increased mortality in patients with severe COVID-19. This effect was also observed in the elderly population. These findings underscore the critical importance of nutritional assessment and effective interventions for patients with severe COVID-19.

Background: Malnutrition exacerbates the prognosis of numerous diseases; however, its specific impact on severe coronavirus disease 2019 (COVID-19) outcomes remains insufficiently explored. Methods: This multicenter study in Korea evaluated the nutritional status of 1,088 adults with severe COVID-19 using the Geriatric Nutritional Risk Index (GNRI) based on serum albumin levels and body weight. The patients were categorized into two groups: GNRI >98 (no-risk) and GNRI ≤98 (risk). Propensity score matching, adjusted for demographic and clinical variables, was conducted. Results: Of the 1,088 patients, 642 (59%) were classified as at risk of malnutrition. Propensity score matching revealed significant disparities in hospital (34.3% vs. 19.4%, p<0.001) and intensive care unit (ICU) mortality (31.5% vs. 18.9%, p<0.001) between the groups. The risk group was associated with a higher hospital mortality rate in the multivariate Cox regression analyses following propensity score adjustment (hazard ratio [HR], 1.64; p=0.001). Among the 670 elderly patients, 450 were at risk of malnutrition. Furthermore, the risk group demonstrated significantly higher hospital (52.1% vs. 29.5%, p<0.001) and ICU mortality rates (47.2% vs. 29.1%, p<0.001). The risk group was significantly associated with increased hospital mortality rates in the multivariate analyses following propensity score adjustment (HR, 1.66; p=0.001). Conclusion Malnutrition, as indicated by a low GNRI, was associated with increased mortality in patients with severe COVID-19. This effect was also observed in the elderly population. These findings underscore the critical importance of nutritional assessment and effective interventions for patients with severe COVID-19.

Background: Malnutrition exacerbates the prognosis of numerous diseases; however, its specific impact on severe coronavirus disease 2019 (COVID-19) outcomes remains insufficiently explored. Methods: This multicenter study in Korea evaluated the nutritional status of 1,088 adults with severe COVID-19 using the Geriatric Nutritional Risk Index (GNRI) based on serum albumin levels and body weight. The patients were categorized into two groups: GNRI >98 (no-risk) and GNRI ≤98 (risk). Propensity score matching, adjusted for demographic and clinical variables, was conducted. Results: Of the 1,088 patients, 642 (59%) were classified as at risk of malnutrition. Propensity score matching revealed significant disparities in hospital (34.3% vs. 19.4%, p<0.001) and intensive care unit (ICU) mortality (31.5% vs. 18.9%, p<0.001) between the groups. The risk group was associated with a higher hospital mortality rate in the multivariate Cox regression analyses following propensity score adjustment (hazard ratio [HR], 1.64; p=0.001). Among the 670 elderly patients, 450 were at risk of malnutrition. Furthermore, the risk group demonstrated significantly higher hospital (52.1% vs. 29.5%, p<0.001) and ICU mortality rates (47.2% vs. 29.1%, p<0.001). The risk group was significantly associated with increased hospital mortality rates in the multivariate analyses following propensity score adjustment (HR, 1.66; p=0.001). Conclusion Malnutrition, as indicated by a low GNRI, was associated with increased mortality in patients with severe COVID-19. This effect was also observed in the elderly population. These findings underscore the critical importance of nutritional assessment and effective interventions for patients with severe COVID-19.

Background: Malnutrition exacerbates the prognosis of numerous diseases; however, its specific impact on severe coronavirus disease 2019 (COVID-19) outcomes remains insufficiently explored. Methods: This multicenter study in Korea evaluated the nutritional status of 1,088 adults with severe COVID-19 using the Geriatric Nutritional Risk Index (GNRI) based on serum albumin levels and body weight. The patients were categorized into two groups: GNRI >98 (no-risk) and GNRI ≤98 (risk). Propensity score matching, adjusted for demographic and clinical variables, was conducted. Results: Of the 1,088 patients, 642 (59%) were classified as at risk of malnutrition. Propensity score matching revealed significant disparities in hospital (34.3% vs. 19.4%, p<0.001) and intensive care unit (ICU) mortality (31.5% vs. 18.9%, p<0.001) between the groups. The risk group was associated with a higher hospital mortality rate in the multivariate Cox regression analyses following propensity score adjustment (hazard ratio [HR], 1.64; p=0.001). Among the 670 elderly patients, 450 were at risk of malnutrition. Furthermore, the risk group demonstrated significantly higher hospital (52.1% vs. 29.5%, p<0.001) and ICU mortality rates (47.2% vs. 29.1%, p<0.001). The risk group was significantly associated with increased hospital mortality rates in the multivariate analyses following propensity score adjustment (HR, 1.66; p=0.001). Conclusion Malnutrition, as indicated by a low GNRI, was associated with increased mortality in patients with severe COVID-19. This effect was also observed in the elderly population. These findings underscore the critical importance of nutritional assessment and effective interventions for patients with severe COVID-19.

Objective: The emergency department (ED) serves as the initial point of contact for many sepsis patients, but crowding can affect the timely delivery of essential interventions, such as antibiotics. This paper explores the relationship between antibiotics administration and ED crowding in the context of sepsis management. Methods: This single-center study at a tertiary care hospital included adult patients aged 18 and above who visited the emergency department from January 2018 to December 2022. Patients showing signs of septic shock upon arrival were selected as the study population. This study examined factors such as emergency department occupancy, antibiotic administration time, and their correlation with timely antibiotic treatment. Results: This study of 839 adult patients with septic shock found a weak correlation (P=0.107) between the time to antibiotic administration and department occupancy. Delayed antibiotic administration was observed when the occupancy exceeded 100%. On the other hand, there was no significant correlation between antibiotic administration within one hour and department occupancy. Conclusion Various factors, such as ED bed occupancy, medical staffing, resource allocation, and patient acuity, must be considered when comprehensively evaluating the impact of ED overcrowding on treating septic shock and other conditions.

Objective: Alcohol consumption is a frequent risk factor for trauma. The shock index is widely used to predict the prognosis of trauma, and alcohol can influence the shock index in several ways. This study investigated the usefulness of the shock index in trauma patients who had ingested alcohol. Methods: This was a retrospective, observational, single-center study. We performed a logistic regression analysis to assess the association between alcohol consumption and massive transfusions. A receiver operating characteristic (ROC) curve was constructed to determine the predictive value of the shock index for patients who had ingested alcohol. Results: A total of 5,128 patients were included in the study. The alcohol-positive group had lower systolic blood pressure and higher heart rate; consequently, the shock index in this group was higher. There was no significant difference between the proportion of the alcohol-positive and alcohol-negative groups who underwent massive transfusions and suffered hospital mortality compared to the overall proportion of patients who underwent massive transfusion based on the shock index. In the logistic regression analysis, the alcohol-negative group showed higher odds ratios for massive transfusions compared to the alcohol-positive group. The area under the ROC curve for predicting massive transfusion was 0.831 for the alcohol-positive group and 0.825 for the alcohol-negative group. However, when a cutoff value of 1 was used, the false positive rate was significantly higher in the alcohol-positive group. Conclusion The shock index is a useful tool for predicting outcomes in patients with trauma. However, in patients who have ingested alcohol, the shock index should be interpreted with caution.

Objective: There is limited data on the outcomes of cardiac arrest occurring in emergency departments (ED). The objective of this study was to identify the factors associated with these outcomes, primarily the survival to hospital discharge and the neurological status at discharge in emergency department cardiac arrest (EDCA) patients. Methods: A retrospective study was conducted in a tertiary hospital. Adult patients aged over 18 years who had suffered an in-hospital cardiac arrest in the ED between July 2018 to June 2021 were included. The primary outcome was the survival to hospital discharge. Descriptive statistics and logistic regression analyses were performed. Results: We identified 157 ED arrests. Among these, 57.9% of the patients died in the emergency room. A total of 24.1% obtained survival discharge. The combined existing illnesses, such as renal insufficiency or malignancy were directly related to the survival of the patients. A cardiac and respiratory cause of arrest increased the probability of survival (P<0.001). The shorter the time spent on cardiopulmonary resuscitation (CPR), the higher the chances of survival (odds ratio of 0.84). The subjects in both the survivor and deceased groups were classified as Korean Triage and Acuity Scale 2 (KTAS 2: emergency) or higher (P=0.719). There was no difference in the ED occupancy, which is an emergency room overcrowding indicator. Conclusion EDCA patients are already in a clinically deteriorated condition. The underlying clinical conditions, the cause of cardiac arrest, the initial rhythm, and the CPR duration time are directly related to the patient’s chances of survival and prognoses. Therefore, it is possible to identify these factors at an early stage and take the appropriate management measures.

Objective: This study aimed to identify the appropriateness of the Korean Triage and Acuity Scale (KTAS) for dizziness without neurological symptoms, which was level 3. Methods: Using the registry of the National Emergency Department Information System (NEDIS), data regarding consecutive emergency patients from January 2016 to July 2018, who were aged 15 years and older, were reviewed retrospectively. The data were classified using KTAS and Dizziness KTAS level 3 were compared with non-dizziness KTAS level 3 including age, total admission rate, intensive care unit (ICU) admission rate, discharge rate, hospital cost, and length of stay in the emergency department (length of stay [LOS]). Results: Of the 76,153 emergency patients, 345 (0.5%) had a KTAS level 1, 4,593 (6.0%) had a KTAS level 2, 21,561 (28.3%) had a KTAS level 3, 45,390 (59.6%) had a KTAS level 4, and 4,264 (5.6%) had a KTAS level 5. As the patient’s triage score decreased, the total admission rate, ICU admission rate, hospital cost, and LOS decreased. Patients discharged to home also had the same result. Dizziness KTAS level 3 had a significantly lower rate of total admission (23% vs. 56.2%, P<0.001) and ICU admission (0.9% vs. 6.2%, P<0.001) compared with non-dizziness KTAS level 3. On the other hand, the hospital cost and LOS were higher when patients were discharged to their home. The predictors of the admission rate of dizziness KTAS level 3 were the transportation method using a private ambulance service and older age, but older age was only slightly associated. Conclusion This study showed that KTAS level 3 for dizziness needs to be adjusted because of lower severity than other level 3. Old age and the transportation method should be considered factors.