Assessing the clinical utility of abdominal computed tomography in sepsis patients with unknown origin: A retrospective cohort study.

Early identification of the sources of infection in emergency department (ED) patients of sepsis remains challenging. Computed tomography (CT) has the potential to identify sources of infection. This retrospective study aimed to investigate the role of CT in identifying sources of infection in patients with sepsis without obvious infection foci in the ED. A retrospective chart review was conducted on patients with fever and sepsis visiting the ED of Linkou Chang Gung Memorial Hospital between July 1, 2020 and June 30, 2021. Data on patient demographics, vital signs, clinical symptoms, underlying medical conditions, laboratory results, administered interventions, length of hospital stay, and mortality outcomes were collected and analyzed. Of 218 patients included in the study, 139 (63.8%) had positive CT findings. The most common sources of infection detected by CT included liver abscesses, acute pyelonephritis, and cholangitis. Laboratory results showed that patients with positive CT findings had higher white blood cell and absolute neutrophil counts and lower hemoglobin levels. Positive blood culture results were more common in patients with positive CT findings. Additionally, the length of hospital stay was longer in the group with positive CT findings. Multivariate logistic regression analysis revealed that hemoglobin levels and positive blood culture results independently predicted positive CT findings in patients with fever or sepsis without an obvious source of infection. In patients with sepsis with an undetermined infection focus, those presenting with leukocytosis, anemia, and elevated absolute neutrophil counts tended to have positive findings on abdominal CT scans. These patients had high rates of bacteremia and longer lengths of stay. Abdominal CT remains a valuable diagnostic tool for identifying infection sources in carefully selected patients with sepsis of undetermined infection origins.

Machine learning models for predicting unscheduled return visits of patients with abdominal pain at emergency department and validation during COVID-19 pandemic: A retrospective cohort study.

Machine learning (ML) models for predicting 72-hour unscheduled return visits (URVs) for patients with abdominal pain in the emergency department (ED) were developed in a previous study. This study refined the data to adjust previous prediction models and evaluated the model performance in future data validation during the COVID-19 era. We aimed to evaluate the practicality of the ML models and compare the URVs before and during the COVID-19 pandemic. We used electronic health records from Chang Gung Memorial Hospital from 2018 to 2019 as a training dataset, and various machine learning models, including logistic regression (LR), random forest (RF), extreme gradient boosting (XGB), and voting classifier (VC) were developed and subsequently used to validate against the 2020 to 2021 data. The models highlighted several determinants for 72-hour URVs, including patient age, prior ER visits, specific vital signs, and medical interventions. The LR, XGB, and VC models exhibited the same AUC of 0.71 in the testing set, whereas the VC model displayed a higher F1 score (0.21). The XGB model demonstrated the highest specificity (0.99) and precision (0.64) but the lowest sensitivity (0.01). Among these models, the VC model showed the most favorable, balanced, and comprehensive performance. Despite the promising results, the study illuminated challenges in predictive modeling, such as the unforeseen influences of global events, such as the COVID-19 pandemic. These findings not only highlight the significant potential of machine learning in augmenting emergency care but also underline the importance of iterative refinement in response to changing real-world conditions.

Machine learning models for predicting unscheduled return visits to an emergency department: a scoping review.

BACKGROUND: Unscheduled return visits (URVs) to emergency departments (EDs) are used to assess the quality of care in EDs. Machine learning (ML) models can incorporate a wide range of complex predictors to identify high-risk patients and reduce errors to save time and cost. However, the accuracy and practicality of such models are questionable. This review compares the predictive power of multiple ML models and examines the effects of multiple research factors on these models' performance in predicting URVs to EDs. METHODS: We conducted the present scoping review by searching eight databases for data from 2010 to 2023. The criteria focused on eligible articles that used ML to predict ED return visits. The primary outcome was the predictive performances of the ML models, and results were analyzed on the basis of intervals of return visits, patient population, and research scale. RESULTS: A total of 582 articles were identified through the database search, with 14 articles selected for detailed analysis. Logistic regression was the most widely used method; however, eXtreme Gradient Boosting generally exhibited superior performance. Variations in visit interval, target group, and research scale did not significantly affect the predictive power of the models. CONCLUSION: This is the first study to summarize the use of ML for predicting URVs in ED patients. The development of practical ML prediction models for ED URVs is feasible, but improving the accuracy of predicting ED URVs to beyond 0.75 remains a challenge. Including multiple data sources and dimensions is key for enabling ML models to achieve high accuracy; however, such inclusion could be challenging within a limited timeframe. The application of ML models for predicting ED URVs may improve patient safety and reduce medical costs by decreasing the frequency of URVs. Further research is necessary to explore the real-world efficacy of ML models.

Safety and effectiveness of remdesivir for the treatment of COVID-19 patients with end-stage renal disease: A retrospective cohort study.

BACKGROUND: Remdesivir has been used to treat severe coronavirus 2019 (COVID-19); however, its safety and effectiveness in patients remain unclear. This study aimed to investigate the safety and effectiveness of remdesivir in patients with COVID-19 with end-stage renal disease (ESRD). METHODS: This retrospective study used the Chang Gung Research Database (CGRD) and extracted data from 21,621 adult patients with COVID-19 diagnosed between April 2021 and September 2022. The patients were divided into groups based on their remdesivir use and the presence of ESRD. The adverse effects of remdesivir and their outcomes were analyzed after propensity score matching. RESULTS: To compare the adverse effects of remdesivir, propensity scores were used for one-to-one matching between patients with and without ESRD treated with remdesivir (N = 110). There were no statistically significant differences in heart rates, blood glucose levels, variations in hemoglobin levels before and after remdesivir use, or liver function between the two groups after remdesivir use. A comparison was made between patients with ESRD using remdesivir and those not using remdesivir after propensity score matching (N = 44). Although a shorter length of stay (LOS), lower intensive care unit (ICU) admission rate, and lower intubation rate were noted in the ESRD group treated with remdesivir, the difference was not statistically significant. CONCLUSION: Remdesivir is safe for use in patients with COVID-19 and ESRD; no increased adverse effects were noted compared with patients without ESRD. However, the effectiveness of remdesivir use in patients with COVID-19 and ESRD remains uncertain.

Plasmapheresis for a Patient with Catatonia and Systemic Lupus Erythematosus: A Case Report and Literature Review.

Neuropsychiatric systemic lupus erythematous (NPSLE) encompasses various psychiatric and neurological manifestations that develop in patients with systemic lupus erythematous (SLE), secondary to the involvement of the central nervous system (CNS). Although neuropsychiatric manifestations are commonly described in NPSLE, catatonia has been less frequently reported in patients with SLE. The roles of benzodiazepines (BZDs), immunosuppression, therapeutic plasma exchange (TPE), and electroconvulsive therapy (ECT) have all been reported in the management of catatonia. Furthermore, another research reported that catatonic symptoms associated with NPSLE were considerably improved by TPE. We, herein, report a case of catatonia in a patient with newly diagnosed NPSLE who exhibited a favorable prognosis through the early initiation of systemic immunosuppressants and TPE. Furthermore, we have reviewed the literature on the role of medication and plasmapheresis (PP), or TPE, in the treatment of catatonia that is associated with SLE.

Prognostic value of cardiac troponin in dialysis patients with paroxysmal supraventricular tachycardia.

A rise in cardiac troponin I (cTnI) is common in supraventricular tachycardia (SVT). While troponin elevation in SVT is thought to be a predictor of future adverse events in patients with prior coronary artery disease, the prognostic significance of cTnI in end-stage kidney disease (ESKD) patients with SVT are not known. We aimed to examine the prognostic significance of cTnI in ESKD patients presenting with SVT in the emergency department. This was a retrospective, multiple-center observational study utilizing regularly collected electronic medical records. We screened electronic medical records of all dialysis patients presenting to the emergency departments in 5 hospitals over 12 years with SVT. These patients were divided into whether cTnI was tested, and were further stratified into the cTnI-positive and cTnI-negative groups. The primary outcome of the study was the 3-year risk of major adverse cardiovascular events (MACE). Sixty-two patients were qualified for inclusion. Fifty-seven patients (91.9%) were tested for cTnI, and 5 patients were not. Patients with the cTnI test were older (P = .03) and had a longer length of hospital stay (P < .001). Forty-seven patients (82.5%) had a positive result, and 10 (17.5%) had a negative result. A history of hypertension (P = .013) and decreased left ventricular ejection fraction (P = .048) were the independent predictors of cTnI elevation. After a mean follow-up period of 20.6 ± 14.7 months, there were no differences in 3-year MACE between patients with or without elevated cTnI levels in Kaplan-Meier analysis (P = .34). A history of coronary artery disease was the only independent predictor of 3-year MACE (P = .017). Through the subgroup analysis, a history of coronary artery disease (HR 2.73; CI 1.01-7.41; P = .049) remained an independent risk factor for 3-year MACE in patients with elevated cTnI levels. A large proportion (82.5%) of troponin elevation was observed in ESKD patients with SVT, but it had a poor correlation with MACE.

Impact of the COVID-19 Pandemic on Pediatric Emergency Medicine: A Systematic Review.

(1) Background and Objectives: The COVID-19 pandemic has considerably affected clinical systems, especially the emergency department (ED). A decreased number of pediatric patients and changes in disease patterns at the ED have been noted in recent research. This study investigates the real effect of the pandemic on the pediatric ED comprehensively by performing a systematic review of relevant published articles. (2) Materials and Methods: A systematic review was conducted based on a predesigned protocol. We searched PubMed and EMBASE databases for relevant articles published until 30 November 2021. Two independent reviewers extracted data by using a customized form, and any conflicts were resolved through discussion with another independent reviewer. The aggregated data were summarized and analyzed. (3) Results: A total of 25 articles discussing the impact of COVID-19 on pediatric emergencies were included after full-text evaluation. Geographic distribution analysis indicated that the majority of studies from the European continent were conducted in Italy (32%, 8/25), whereas the majority of the studies from North America were conducted in the United States (24%, 6/25). The majority of the studies included a study period of less than 6 months and mostly focused on the first half of 2020. All of the articles revealed a decline in the number of pediatric patients in the ED (100%, 25/25), and most articles mentioned a decline in infectious disease cases (56%, 14/25) and trauma cases (52%, 13/25). (4) Conclusions: The COVID-19 pandemic resulted in a decline in the number of pediatric patients in the ED, especially in the low-acuity patient group. Medical behavior changes, anti-epidemic policies, increased telemedicine use, and family financial hardship were possible factors. A decline in common pediatric infectious diseases and pediatric trauma cases was noted. Researchers should focus on potential child abuse and mental health problems during the pandemic.

Exploring the Impact of Pre-course High-Fidelity Simulation on Professional Socialization of Medical Students in Emergency Medicine Internship Rotation-A Qualitative Approach.

Background: Medical students in block clerkships constantly adapt to new environments and learn to interact with new people as they rotate between specialties. This frequent change potentially limited interns' opportunities for participation in real clinical practice. The aims of this study were to explore interns' conceptualization of their learning opportunities and experiences in the workplace during an emergency medicine (EM) block internship. In addition, the study also explored how participating in the pre-rotation high-fidelity simulation (HFS) orientation influenced interns' perception of their transition, participation and learning experiences in the real EM setting. Methods: We implemented a newly developed pre-EM rotation orientation curriculum for interns. This orientation took place on the first day of the 2-week EM internship rotation. Two focus group discussions were held after each simulation training, one immediately after simulation to understand the students' perception and the educational impact of this activity, the other at the end of EM rotation to explore and compare their roles and perception in both simulation activity and the real clinical practice. A total of 151 seventh-year medical students enrolled in the pre-course HFS and post-hoc focus group discussions between 2017 and 2019. We applied thematic analysis to systemically identify, examine, and construct themes. Results: Four major themes were constructed from the data; 1. Challenges in finding authentic learning experiences within the context of emergency medicine; 2. Effectiveness of the pre-course HFS 3. Limitations of EM internship rotation curriculum and pre-course simulation. 4. Suggestions for EM block-internship curriculum reforms. Our study's key findings indicate that pre-rotation orientation HFS activity, which offered a psychologically safe space for students to explore facets of EM and gain a contextualized understanding of the emergency work culture and environment, was essential for enhancing students' ability to identify and maximize practice affordances in real workplace. Conclusion: Simulation, facilitates interns' negotiation of legitimate peripheral participation opportunities as they transition into the EM community of practice during their block internship rotation; putting students at the center of the learning process.

Does medical disparity exist while treating severe mental illness patients with acute appendicitis in emergency departments? A real-world database study.

BACKGROUND: Patients with severe mental illness (SMI) have a shorter life expectancy and have been considered by the World Health Organization (WHO) as a vulnerable group. As the causes for this mortality gap are complex, clarification regarding the contributing factors is crucial to improving the health care of SMI patients. Acute appendicitis is one of the most common indications for emergency surgery worldwide. A higher perforation rate has been found among psychiatric patients. This study aims to evaluate the differences in appendiceal perforation rate, emergency department (ED) management, in-hospital outcomes, and in-hospital expenditure among acute appendicitis patients with or without SMI via the use of a multi-centre database. METHODS: Relying on Chang Gung Research Database (CGRD) for data, we selectively used its data from January 1st, 2007 to December 31st, 2017. The diagnoses of acute appendicitis and SMI were confirmed by combining ICD codes with relevant medical records. A non-SMI patient group was matched at the ratio of 1:3 by using the Greedy algorithm. The outcomes were appendiceal perforation rate, ED treatment, in-hospital outcome, and in-hospital expenditure. RESULTS: A total of 25,766 patients from seven hospitals over a span of 11 years were recruited; among them, 11,513 were excluded by criteria, with 14,253 patients left for analysis. SMI group was older (50.5 vs. 44.4 years, p < 0.01) and had a higher percentage of females (56.5 vs. 44.4%, p = 0.01) and Charlson Comorbidity Index. An analysis of the matched group has revealed that the SMI group has a higher unscheduled 72-hour revisit to ED (17.9 vs. 10.4%, p = 0.01). There was no significant difference in appendiceal perforation rate, ED treatment, in-hospital outcome, and in-hospital expenditure. CONCLUSIONS: Our study demonstrated no obvious differences in appendiceal perforation rate, ED management, in-hospital outcomes, and in-hospital expenditure among SMI and non-SMI patients with acute appendicitis. A higher unscheduled 72-hour ED revisit rate prior to the diagnosis of acute appendicitis in the SMI group was found. ED health providers need to be cautious when it comes to SMI patients with vague symptoms or unspecified abdominal complaints.

Multimodal In-training Examination in an Emergency Medicine Residency Training Program: A Longitudinal Observational Study.

Background: In-training examination (ITE) has been widely adopted as an assessment tool to measure residents' competency. We incorporated different formats of assessments into the emergency medicine (EM) residency training program to form a multimodal, multistation ITE. This study was conducted to examine the cost and effectiveness of its different testing formats. Methods: We conducted a longitudinal study in a tertiary teaching hospital in Taiwan. Nine EM residents were enrolled and followed for 4 years, and the biannual ITE scores were recorded and analyzed. Each ITE consisted of 8-10 stations and was categorized into four formats: multiple-choice question (MCQ), question and answer (QA), oral examination (OE), and high-fidelity simulation (HFS) formats. The learner satisfaction, validity, reliability, and costs were analyzed. Results: 486 station scores were recorded during the 4 years. The numbers of MCQ, OE, QA, and HFS stations were 45 (9.26%), 90 (18.5%), 198 (40.7%), and 135 (27.8%), respectively. The overall Cronbach's alpha reached 0.968, indicating good overall internal consistency. The correlation with EM board examination was highest for HFS (ρ = 0.657). The average costs of an MCQ station, an OE station, and an HFS station were ~3, 14, and 21 times that of a QA station. Conclusions: Multi-dimensional assessment contributes to good reliability. HFS correlates best with the final training exam score but is also the most expensive format among ITEs. Increased testing domains with various formats improve ITE's overall reliability. Program directors must understand each test format's strengths and limitations to bring forth the best combination of exams under the local context.

In-Hospital and Long-Term Outcomes in Patients with Head and Neck Cancer Bleeding.

Background and Objectives: The purpose of the present study was to elucidate the in-hospital and long-term outcomes of patients with head and neck cancer (HNC) bleeding and to analyze the risk factors for mortality. Materials and Methods: We included patients who presented to the emergency department (ED) with HNC bleeding. Variables of patients who survived and died were compared and associated factors were investigated by logistic regression and Cox's proportional hazard model. Results: A total of 125 patients were enrolled in the present study. Fifty-nine (52.8%) patients experienced a recurrent bleeding event. The in-hospital mortality rate was 16%. The overall survival at 1, 3 and 5 years was 48%, 41% and 34%, respectively. The median survival time was 9.2 months. Multivariate logistic regression analyses revealed that risk factors for in-hospital mortality were inotropic support (OR = 10.41; Cl 1.81-59.84; p = 0.009), hypopharyngeal cancer (OR = 4.32; Cl 1.29-14.46; p = 0.018), and M stage (OR = 5.90; Cl 1.07-32.70; p = 0.042). Multivariate Cox regression analyses indicate that heart rate >110 (beats/min) (HR = 2.02; Cl 1.16-3.51; p = 0.013), inotropic support (HR = 3.25; Cl 1.20-8.82; p = 0.021), and hypopharygneal cancer (HR = 2.22; Cl 1.21-4.06; p = 0.010) were all significant independent predictors of poorer overall survival. Conclusions: HNC bleeding commonly represents the advanced disease stage. Recognition of associated factors aids in the risk stratification of patients with HNC bleeding.

Pediatric Training Crisis of Emergency Medicine Residency during the COVID-19 Pandemic.

Coronavirus disease 2019 (COVID-19) is an emerging viral disease that has caused a global pandemic. Among emergency department (ED) patients, pediatric patient volume mostly and continuously decreased during the pandemic period. Decreased pediatric patient volume in a prolonged period could results in inadequate pediatric training of Emergency Medicine (EM) residents. We collected data regarding pediatric patients who were first seen by EM resident physicians between 1 February 2019, and 31 January 2021, which was divided into pre-epidemic and epidemic periods by 1 February 2020. A significant reduction in pediatric patients per hour (PPH) of EM residents was noted in the epidemic period (from 1.55 to 0.81, p < 0.001). The average patient number was reduced significantly in the classification of infection (from 9.50 to 4.00, p < 0.001), respiratory system (from 84.00 to 22.00, p < 0.001), gastrointestinal system (from 52.00 to 34.00, p = 0.007), otolaryngology (from 4.00 to 2.00, p = 0.022). Among the diagnoses of infectious disease, the most obvious drop was noted in the diagnosis of influenza and enterovirus infection. Reduced pediatric patient volume affected clinical exposure to pediatric EM training of EM residency. Changes in the proportion of pediatric diseases presented in the ED may induce inadequate experience with common and specific pediatric diseases.

Bacterial Pericarditis Caused by Penetration of a Migrated Biliary Stent from the Lateral Segment of the Liver: A Case Report.

Endoscopic biliary stent insertion is a well-established procedure that is indispensable in the management of various benign and malignant biliary disorders, and one that helps prevent mortality related to invasive surgical procedures. We report a rare case of the distal migration of a biliary stent outside the abdomen to the pericardium, inducing constrictive pericarditis and septic shock. This case alerts clinicians to be aware of potential adverse events that can lead to unfavorable patient outcomes. Such adverse events can be effectively avoided through early detection and intervention.

What is the impact of the COVID-19 pandemic on residency training: a systematic review and analysis.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has greatly affected medical education in addition to clinical systems. Residency training has probably been the most affected aspect of medical education during the pandemic, and research on this topic is crucial for educators and clinical teachers. The aim of this study was to understand the effect of the COVID-19 pandemic comprehensively through a systematic review and analysis of related published articles. METHODS: A systematic review was conducted based on a predesigned protocol. We searched MEDLINE and EMBASE databases until November 30, 2020, for eligible articles. Two independent reviewers extracted data by using a customized form to record crucial information, and any conflicts between the two reviewers were resolved through discussion with another independent reviewer. The aggregated data were summarized and analyzed. RESULTS: In total, 53 original articles that investigated the effect of the COVID-19 pandemic on residency training were included. Studies from various regions were included in the research, with the largest percentage from the United States (n = 25, 47.2%). Most of these original articles were questionnaire-based studies (n = 44, 83%), and the research target groups included residents (79.55%), program directors (13.64%), or both (6.82%). The majority of the articles (n = 37, 84.0%) were published in countries severely affected by the pandemic. Surgery (n = 36, 67.92%) was the most commonly studied field. CONCLUSIONS: The COVID-19 pandemic has greatly affected residency training globally, particularly surgical and interventional medical fields. Decreased clinical experience, reduced case volume, and disrupted education activities are major concerns. Further studies should be conducted with a focus on the learning outcomes of residency training during the pandemic and the effectiveness of assisted teaching methods.

Anticoagulant Therapy Is Associated With Decreased Long-Term Mortality in Splenic Infarction Patients: A Multicenter Study.

Background: Patients with splenic infarction (SI) are associated with a prothrombotic state and are vulnerable to subsequent thromboembolic complications. However, due to its rarity, there is no established treatment modality in this population. We aimed to examine the effect of anticoagulant therapy in SI patients. Methods: We performed a multicenter retrospective cohort study of 86 SI patients. Patients were categorized as anticoagulant users and anticoagulant non-users. The associations between anticoagulant therapy, all-cause mortality, thromboembolic events and bleeding events were evaluated. Results: Forty-five patients (52.3%) received anticoagulant therapy during the follow-up periods. The all-cause mortality rate was 6.86 per 100 patient-years. Anticoagulant therapy was associated with 94% improved survival (HR = 0.06; Cl 0.007-0.48; p = 0.008), while the risk factors for all-cause mortality were prior stroke (HR = 13.15; Cl 2.39-72.27; p = 0.003) and liver cirrhosis (HR = 8.71; Cl 1.29-59.01; p = 0.027). Patients with anticoagulant therapy had a higher event-free survival curve for thromboembolic complications (p = 0.03) but did not achieve a significant difference after adjustment using the Cox regression model as a time-dependent covariate (HR = 0.57; Cl 0.13-2.45; p = 0.446). There was no significant difference in the risk of bleeding events between the groups (p = 0.728). Conclusions: Anticoagulant therapy in patients with SI was associated with better survival and was not related to an increased bleeding risk.

Risk assessment and prognostic analysis of patients with splenic infarction in emergency department: a multicenter retrospective study.

Splenic infarction is a thromboembolic disease that is frequently missed in acute settings. Previous reviews were rarely presented from a clinical perspective. We aimed to evaluate the clinical characteristics, risk factors with diagnostic value, and prognostic factors using large cohort data and a matched case-control study method. A retrospective medical record review of six hospitals in Taiwan from January 1, 2005, to August 31, 2020, was conducted. All patients who underwent contrast CT with confirmed the diagnosis of splenic infarction were included. Their characteristics were presented and compared to a matched control group with similar presenting characteristics. Prognostic factors were also analyzed. A total of 130 cases were included, two-thirds of whom presented with abdominal pain. Atrial fibrillation was the most common associated predisposing condition, followed by hematologic disease. A higher proportion of tachycardia, positive qSOFA score, history of hypertension or atrial fibrillation, leukocytosis, and thrombocytopenia were found in splenic infarction patients compared to their counterparts. An underlying etiology of infective endocarditis was associated with a higher proportion of ICU admission. Splenic infarction patients often presented with left upper abdominal pain and tachycardia. A history of hypertension, atrial fibrillation, a laboratory result of leukocytosis or thrombocytopenia may provide a clue for clinicians to include splenic infarction in the differential list. Among the patients diagnosed with splenic infarction, those with an underlying etiology of infectious endocarditis may be prone to deterioration or ICU admission.

Prognostic Value of Cardiac Troponin and Risk Assessment in Pediatric Supraventricular Tachycardia.

Cardiac troponin I (cTnI) elevation is common in an acute episode of supraventricular tachycardia (SVT). However, there is limited evidence regarding the prognostic value of cTnI and the predictors of SVT recurrence in pediatric patients. We screened the electronic medical records of all pediatric patients presenting to the emergency departments at five Taiwanese hospitals from 1 January 2010 to 31 May 2021. Our primary outcomes were the occurrence of major adverse cardiac events (MACEs) during the follow-up period and 30-day SVT recurrence. A total of 112 patients were included in our study. Of these, 29 (25.9%) patients had positive cTnI values. Patients with cTnI elevation had significantly more complaints of dyspnea (27.6% vs. 7.2%, p = 0.008) and gastrointestinal discomfort (24.1% vs. 4.8%, p = 0.006). There were significantly more intensive care unit admissions (41.4% vs. 16.9%, p = 0.007) among the cTnI-positive group. One MACE was found in the cTnI-negative group. For 30-day SVT recurrence, the cTnI-positive group had a higher recurrence rate, without a statistically significant difference (20.7% vs. 7.2%, p = 0.075). Multivariable logistic regression analysis showed hypotension as an independent predictor of 30-day SVT recurrence (OR = 4.98; Cl 1.02-24.22; p = 0.047). Troponin had low value for predicting the outcomes of pediatric patients with SVT. The only significant predictor for recurrent SVT was initial hypotension.

High-fidelity simulation is associated with good discriminability in emergency medicine residents' in-training examinations.

ABSTRACT: In-training examinations (ITEs), arranged during residency training, evaluate the residents' performances periodically. There is limited literature focusing on the effectiveness of resident ITEs in the format of simulation-based examinations, as compared to traditional oral or written tests. Our primary objective is to investigate the effectiveness and discriminative ability of high-fidelity simulation compared with other measurement formats in emergency medicine (EM) residency training program.This is a retrospective cohort study. During the 5-year study period, 8 ITEs were administered to 68 EM residents, and 253 ITE measurements were collected. Different ITE scores were calculated and presented as mean and standard deviation. The ITEs were categorized into written, oral, or high-fidelity simulation test forms. Discrimination of ITE scores between different training years of residency was examined using a one-way analysis of variance test.The high-fidelity simulation scores correlated to the progression of EM training, and residents in their fourth training year (R4) had the highest scores consistently, followed by R3, R2, and then R1. The oral test scores had similar results but not as consistent as the high-fidelity simulation tests. The written test scores distribution failed to discriminate the residents' seniority. The high-fidelity simulation test had the best discriminative ability and better correlation between different EM residency training years comparing to other forms.High-fidelity simulation tests had the good discriminative ability and were well correlated to the EM training year. We suggest high-fidelity simulation should be a part of ITE in training programs associated with critical or emergency patient cares.

A Machine Learning Model for Predicting Unscheduled 72 h Return Visits to the Emergency Department by Patients with Abdominal Pain.

Seventy-two-hour unscheduled return visits (URVs) by emergency department patients are a key clinical index for evaluating the quality of care in emergency departments (EDs). This study aimed to develop a machine learning model to predict 72 h URVs for ED patients with abdominal pain. Electronic health records data were collected from the Chang Gung Research Database (CGRD) for 25,151 ED visits by patients with abdominal pain and a total of 617 features were used for analysis. We used supervised machine learning models, namely logistic regression (LR), support vector machine (SVM), random forest (RF), extreme gradient boosting (XGB), and voting classifier (VC), to predict URVs. The VC model achieved more favorable overall performance than other models (AUROC: 0.74; 95% confidence interval (CI), 0.69-0.76; sensitivity, 0.39; specificity, 0.89; F1 score, 0.25). The reduced VC model achieved comparable performance (AUROC: 0.72; 95% CI, 0.69-0.74) to the full models using all clinical features. The VC model exhibited the most favorable performance in predicting 72 h URVs for patients with abdominal pain, both for all-features and reduced-features models. Application of the VC model in the clinical setting after validation may help physicians to make accurate decisions and decrease URVs.