Objective: This was a retrospective investigation conducted to evaluate the impact of the coronavirus disease-2019 (COVID-19) pandemic on the treatment and outcomes of patients with ischemic stroke. Methods: Data were collected over one year for the COVID-19 and pre-COVID-19 (control) groups, from May 1, 2020, to April 30, 2021, when COVID-19 was prevalent in Korea, and from May 1, 2018 to April 30, 2019, before the COVID-19 outbreak, respectively. Adult patients diagnosed with acute cerebral infarction at three emergency medical centers during the study period were included. COVID-19-positive patients (i.e., those with COVID-19 symptoms but those who tested positive) were excluded from this study to ensure only the evaluation of delays in stroke treatment due to the pandemic. Results: During the COVID-19 pandemic, of the total of 82,558 patients who visited the emergency centers, 710 were diagnosed with ischemic stroke. The study observed that the pandemic caused process delays for these patients, resulting in longer wait times for brain CT scans (P=0.010, P<0.001) and emergency room stays (P=0.0055, P<0.001) during the COVID-19 period. However, the length of time for administration of tissue plasminogen activator remained relatively constant. Notably, the 28-day mortality rate was considerably higher for patients with COVID-19-related symptoms during the pandemic (13.6% vs 3.1%; P=0.006). A cumulative risk analysis revealed an increased mortality risk for patients with COVID-19 related symptoms (P=0.005). Conclusion This study showed the need to improve emergency care procedures during pandemics to ensure prompt treatment of ischemic stroke. Preparation and resource allocation for ischemic stroke patients with COVID-19 symptoms are crucial.

Objective: This was a retrospective investigation conducted to evaluate the impact of the coronavirus disease-2019 (COVID-19) pandemic on the treatment and outcomes of patients with ischemic stroke. Methods: Data were collected over one year for the COVID-19 and pre-COVID-19 (control) groups, from May 1, 2020, to April 30, 2021, when COVID-19 was prevalent in Korea, and from May 1, 2018 to April 30, 2019, before the COVID-19 outbreak, respectively. Adult patients diagnosed with acute cerebral infarction at three emergency medical centers during the study period were included. COVID-19-positive patients (i.e., those with COVID-19 symptoms but those who tested positive) were excluded from this study to ensure only the evaluation of delays in stroke treatment due to the pandemic. Results: During the COVID-19 pandemic, of the total of 82,558 patients who visited the emergency centers, 710 were diagnosed with ischemic stroke. The study observed that the pandemic caused process delays for these patients, resulting in longer wait times for brain CT scans (P=0.010, P<0.001) and emergency room stays (P=0.0055, P<0.001) during the COVID-19 period. However, the length of time for administration of tissue plasminogen activator remained relatively constant. Notably, the 28-day mortality rate was considerably higher for patients with COVID-19-related symptoms during the pandemic (13.6% vs 3.1%; P=0.006). A cumulative risk analysis revealed an increased mortality risk for patients with COVID-19 related symptoms (P=0.005). Conclusion This study showed the need to improve emergency care procedures during pandemics to ensure prompt treatment of ischemic stroke. Preparation and resource allocation for ischemic stroke patients with COVID-19 symptoms are crucial.

Objective: This was a retrospective investigation conducted to evaluate the impact of the coronavirus disease-2019 (COVID-19) pandemic on the treatment and outcomes of patients with ischemic stroke. Methods: Data were collected over one year for the COVID-19 and pre-COVID-19 (control) groups, from May 1, 2020, to April 30, 2021, when COVID-19 was prevalent in Korea, and from May 1, 2018 to April 30, 2019, before the COVID-19 outbreak, respectively. Adult patients diagnosed with acute cerebral infarction at three emergency medical centers during the study period were included. COVID-19-positive patients (i.e., those with COVID-19 symptoms but those who tested positive) were excluded from this study to ensure only the evaluation of delays in stroke treatment due to the pandemic. Results: During the COVID-19 pandemic, of the total of 82,558 patients who visited the emergency centers, 710 were diagnosed with ischemic stroke. The study observed that the pandemic caused process delays for these patients, resulting in longer wait times for brain CT scans (P=0.010, P<0.001) and emergency room stays (P=0.0055, P<0.001) during the COVID-19 period. However, the length of time for administration of tissue plasminogen activator remained relatively constant. Notably, the 28-day mortality rate was considerably higher for patients with COVID-19-related symptoms during the pandemic (13.6% vs 3.1%; P=0.006). A cumulative risk analysis revealed an increased mortality risk for patients with COVID-19 related symptoms (P=0.005). Conclusion This study showed the need to improve emergency care procedures during pandemics to ensure prompt treatment of ischemic stroke. Preparation and resource allocation for ischemic stroke patients with COVID-19 symptoms are crucial.

Purpose: We prospectively compared the diagnostic accuracy of kidney dynamic computed tomography (KDCT), magnetic resonance imaging (MRI), and contrast-enhanced ultrasonography (CEUS) for the assessment of small renal mass (SRM) (≤4 cm). Materials and Methods: Seventy-six patients with SRM (mean age, 58.4±13.1 years) who underwent renal biopsy (n=11) or nephrectomy (partial or radical) (n=65) were enrolled. All patients underwent KDCT, MRI, and CEUS before renal biopsy or nephrectomy. Results: The mean maximal tumor size was 21.0±9.8 mm. The mean R.E.N.A.L nephrometry score was 7.0±1.7. Fifty-six patients had renal cell carcinoma (RCC) (clear cell, 42; papillary, 7; chromophobe, 5; succinate dehydrogenase deficient, 1; unspecified RCC, 1). Twenty patients had a benign tumor (angiomyolipoma, 11; oncocytoma, 3; others, 6). Clinicopathologic variables were comparable in RCC and benign groups. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of KDCT were 89.3%, 10.0%, 73.5%, and 25.0%, respectively. The sensitivity, specificity, PPV, and NPV of MRI were 89.3%, 10.0%, 73.5%, and 25.0%, respectively. The sensitivity, specificity, PPV, and NPV of CEUS were 85.7%, 50.0%, 82.8%, and 55.6%, respectively. The diagnostic accuracy of KDCT, MRI, and CEUS were 68.4%, 68.4%, and 76.3%, respectively. In a subgroup analysis based on clinical tumor size of 10 mm and 20 mm, CEUS also showed the highest diagnostic accuracy. Conclusions CEUS had the highest specificity, PPV, and NPV and may help improve the assessment of SRM.

Objective: This study evaluated the clinical usefulness of mean platelet volume (MPV) for predicting functional outcomes in subarachnoid hemorrhage (SAH) patients. Methods: This is a retrospective analysis of patients who were diagnosed with SAH in the emergency room. Based on their modified Rankin Scale (mRS) score, patients were divided into two groups: 0-2 (good outcome) and 3-6 (poor outcome). Univariable and multivariable analyses were performed to investigate whether MPV, along with other multiple factors, was associated with poor prognosis. Receiver operating characteristic (ROC) curve analysis was performed to determine the value of MPV as a predicting factor of neurological prognosis. Compared to other factors, Hunt Hess grade (HHG) and modified Fisher grade (mFG) considerably influenced the outcomes in both groups (Model 1; model including all factors). Hence, a new model (Model 2) was constructed, comprising multiple factors excluding these two factors. Results: A total of 143 patients were included in this study. Although MPV was different between the two groups, it was not a significant factor in Model 1 in the multivariable analysis. In Model 2, MPV (odds ration [OR], 1.71; 95% confidence interval [CI], 1.05-2.8), age (OR, 1.06; 95% CI, 1.03-1.1), and surgical treatment (OR, 0.37; 95% CI, 0.15-0.87) were significant factors related to poor outcomes. Area under the curve (AUC) of Model 1 was 0.93, 0.85 in HHG; 0.78 in Model 2, 0.65 in mFG, and 0.62 in MPV. Conclusion Although MPV differed significantly between the good and poor outcome groups, it is insufficient to predict poor outcomes in SAH patients as an independent biomarker.

Objective: This study evaluated the anxiety, work, and socioeconomic burden of emergency physicians (EP) during the coronavirus disease 2019 (COVID-19) pandemic in South Korea. Methods: A cross-sectional observational study was conducted using data from the 2020 Korean Emergency Physician Survey that included the following domains: hospital resources of suspected COVID-19 patients, availability of personal protective equipment, levels of home and workplace anxiety, the severity of work burnout, identification of stressors, changes in personal environments, and measures to decrease stress/anxiety. Results: Totally, 855 eligible participants were enrolled in the study. A statistically significant deterioration was observed in response to decreased working income or an unstable employment situation (0.46±0.88 points). The median number of patients with confirmed COVID-19 was 2.72. The risk of infection during emergency department (ED) work was found to be significantly increased (P<0.01). Of the 751 respondents (91.4%) who reported patient contact during their survey phase, 516 (62.8%) reported having taken the COVID-19 reverse transcription polymerase chain reaction test. The major factors that affected worsening of the work burden were determined to be unsuitable inter-hospital transfer arrangements for febrile patients (3.46±1.06 before vs. 1.99±1.16 after the pandemic, P<0.01) and delayed consultation for patients with fever or respiratory symptoms in the ED (3.20±1.06 before vs. 2.66±1.10 after the pandemic, P<0.01). Conclusion During the peak phase, the COVID-19 pandemic induced substantial workplace and socioeconomic burdens for Korean EPs. The sustained impact of the pandemic on the wellness of EPs deserves further investigation to guide targeted interventions.

Objective: Machine learning is emerging as a new alternative in various scientific fields and is potentially a new method of interpretation. Using the Light Gradient Boosting Machine (LightGBM), we analyzed the factors that influence the rechoice of emergency medicine responders. The survey is a cross-sectional study which provides an accurate understanding of a responder's current status. However, the results may vary depending on the composition, format, and question, and the relationship between the answers may be unclear. Methods: This study evaluated the modified 2020 Korean Emergency Physician Survey raw data. We applied the preferred model for random relationship check, random forest, support vector machine, and LightGBM models. The stacking ensemble model was used for the final decision process. Results: ‘It is fun working in an emergency room’was the most selected response factor for re-choice, followed by ‘interesting major’. The physical burden of age and lack of identity had a negative impact, whereas burnout and emotional stress factors had a lesser effect. Anxiety caused by the coronavirus disease 2019 (COVID-19) is thought to have a significant impact on this decision making. Conclusion Establishing the identity of emergency medicine and being faithful to its fundamental mission is a way to increase the rate of re-choice. Decreasing the burden of workload modified according to age is recommended to establish career longevity. The method of machine learning presents us with a new possibility of checking the relevance of survey results quickly and easily.

Objective: It has been reported that emergency physicians experience high levels of depression and psychological burnout due to night shifts and tend to consider early retirement. This study intended to check working hours and intensity, individual health, satisfaction, and overall welfare, given the increase in the numbers of emergency physicians. Methods: The study used the results of the ‘2020 Korean Emergency Physician Survey (KEPS)’ conducted from January 15 to February 26, 2021, which targeted 2,138 emergency physicians registered with the Korean Society of Emergency Medicine. The survey was conducted online through the web and mobile application. Results: One thousand three hundred seven out of the 2,167 emergency physicians (60.3%) registered at the society responded. The average age of the respondents was 42.6 years, and there were 1,148 male emergency physicians and 158 female emergency physicians. The average professional experience was 8.2 years, with 325 professors, 122 commissioned doctors, 648 public servants of which 90 had military service, and 45 medical practitioners. Conclusion In conclusion, the number of working hours of emergency physicians showed a decreasing trend compared to 2010 and 2015. However, emergency physicians often expected early retirement. This suggests that, while the absolute working hours are decreasing, the actual working intensity has not decreased. For the proper development of the emergency medical system, it is necessary to establish a stable working environment for emergency physicians. A systematic study is needed on the working hours and work intensity of emergency physicians.

Objective: As the history of emergency medicine grows longer, emergency medicine specialists are observed to comprise various age groups. There have been no prior studies on the generation shift analysis of emergency medicine specialists. Our study is designed to identify the characteristics of each generation and predict the generation shift in emergency medicine physicians. Methods: The analysis was based on the results of the 2020 survey of emergency medicine specialists. The study was conducted on 1,307 respondents and finally, the responses of 967 people were analyzed after excluding 199 who were not in charge of emergency room treatments and 141 who gave incomplete responses. The respondents were divided into four groups based on the following generations: first generation (1996-1999), second generation (2000-2008), third generation (2009-2014), and fourth generation (2015-2020), classified by the year in which they acquired their emergency medicine board license. The intergenerational difference analysis was done using the Kruskall-Wallis test. Results: The first generation was characterized by a high proportion of university hospital professors, large non-clinical activity hours, a few night shifts, higher social contributions, low satisfaction with the training and education environment, and a high retirement age compared to the later generations. In the second generation, the characteristics of the first, third, and fourth generations were generally mixed. The third and fourth generations showed similar characteristics overall, though there were differences in some categories. Conclusion There were significant differences by generation in the working environments, motivation for application, and retirement age. This is the first study that quantifies generational differences. Considering these trends, a discussion about the work environment needs to be initiated.

Objective: Emergency physicians are constantly exposed to night shifts and stress due to the nature of their work, resulting in health problems such as substance abuse, depression, and suicidal ideation. To date, depression in Korean emergency physicians has never been investigated. The present study endeavors to identify the prevalence and factors related to depression in emergency physicians in Korea. Methods: The present study retrospectively analyzed data from the 2020 Korean Emergency Physician Survey. The prevalence of depression was evaluated using the PHQ-9 (Patient Healthcare Questionnaire-9). Multivariable logistic regression analysis was used to identify the factors related to depression and other variables. Results: The overall response rate of the survey was 61.3% (1,307/2,138). A total of 1,102 respondents completed the PHQ- 9 and were analyzed. The prevalence of depression was 27.0% (95% confidence interval [CI], 27.8-33.6). Following factors were found to be associated with depression: military service as the type of position (odds ratio [OR], 0.316; 95% CI, 0.126- 0.794), schedule satisfaction (OR, 0.523; 95% CI, 0.356-0.769), health perspective (OR, 0.408; 95% CI, 0.252-0.662), weekly exercise (OR, 0.879; 95% CI, 0.774-0.998), sleep quality (OR, 4.728; 95% CI, 3.329-6.715), regular diet (OR, 0.380; 95% CI, 0.239-0.605), nighttime snacking (OR, 1.607; 95% CI, 1.124-2.298), and job satisfaction (OR, 0.456; 95% CI, 0.305-0.682). Conclusion More than a quarter of respondents had depression. Job satisfaction, schedule satisfaction, and a healthy lifestyle were negatively related to depression. However, poor sleep quality showed a significantly positive association, which suggests the necessity for a long-term follow-up.