Background and Objectives: The coronavirus disease 2019 (COVID-19) pandemic has profoundly impacted healthcare systems worldwide. To assess the effects of the pandemic on pediatric emergency department (ED) visits in Taiwan, we conducted a study to evaluate changes in pediatric ED visits during the COVID-19 pandemic. Materials and Methods: This retrospective study included pediatric patients (age ≤ 18) who visited the ED between 21 January 2019 and 30 April 2019, at three hospitals of the Cathay Health System, and compared them with a corresponding period in 2020. Basic information, including mode of arrival, triage level, disposition, chief complaints, and incidence rates, were analyzed before and during the pandemic. Results: A total of 10,116 patients, with 6009 in the pre-pandemic group and 4107 in the pandemic group, were included in this study. The mean number of daily pediatric ED visits decreased from 60.09 before the pandemic to 40.66 during the pandemic, while ambulance use increased significantly by 2.56%. The percentage of patients with high acuity triage levels (levels 1 and 2) was significantly lower during the pandemic period (0.63% and 10.18%, respectively) than the pre-pandemic period (0.7% and 10.9%, respectively). Additionally, a significantly higher proportion of patients were discharged during the pandemic period (89.36%) than during the pre-pandemic period (88.33%). The proportion of COVID-19-related complaints, such as fever and respiratory tract infections, as well as other complaints including gastrointestinal issues, trauma, and psychological problems, significantly increased during the pandemic. Conclusions: In preparation for future pandemics, we recommend increasing emergency medical service capacity, establishing a non-contagious route for obtaining chronic medication prescriptions, optimizing staff allocation in pediatric emergency departments, and increasing the number of hospital social workers for enhanced support.

Background and Objectives: Acute heart failure (AHF) is a life-threatening condition frequently encountered in the emergency department (ED). Identifying reliable prognostic indicators for in-hospital mortality is crucial for risk stratification and the appropriate management of AHF patients. This study aimed to assess the most effective method for predicting in-hospital mortality among various physiological parameters in patients with AHF presenting to the ED. Additionally, the study evaluated the effectiveness of the RAM index—respiratory rate (RR), age, and mean arterial pressure (MAP)—derived from the shock index (SI) by replacing heart rate with RR, as a novel prognostic tool. This was compared with the SI and its other derivatives to predict in-hospital mortality in adult patients with AHF presenting to the ED. Materials and Methods: This is a retrospective study conducted in the ED of an urban medical center, enrolling adult patients with signs and symptoms of AHF, who met the epidemiological diagnosis criteria, between January 2017 and December 2021. Baseline physiological parameters, including the RR, heart rate, systolic blood pressure, and diastolic blood pressure, were recorded upon ED admission. The RAM index was calculated as the RR multiplied by the age divided by the MAP. Statistical analysis was performed, including univariate analysis, logistic regression, and receiver operating characteristic (ROC) curve analysis. Results: A total of 2333 patients were included in the study. A RAM index > 18.6 (area under ROC curve (AUROC): 0.81; 95% confidence interval (CI): 0.79–0.83) had a superior mortality discrimination ability compared to an SI > 0.77 (AUROC: 0.75; 95% CI: 0.72–0.77), modified shock index > 1.11 (AUROC: 0.75; 95% CI: 0.73–0.77), age shock index > 62.7 (AUROC: 0.74; 95% CI: 0.72–0.76), and age-modified shock index > 79.9 (AUROC: 0.75; 95% CI: 0.73–0.77). A RAM index > 18.6 demonstrated a 7.36-fold higher risk of in-hospital mortality with a sensitivity of 0.80, specificity of 0.68, and negative predictive value of 0.97. Conclusions: The RAM index is an effective tool to predict mortality in AHF patients presenting to the ED. Its superior performance compared to traditional SI-based parameters suggests that the RAM index can aid in risk stratification and the early identification of high-risk patients, facilitating timely and aggressive treatment strategies.