Clinical Emergency Research Articles

Typical causes and clinical presentations of traumatic and nontraumatic soft tissue and organ haemorrhage in emergency departments

Acute bleeding often occurs in awide variety of forms in clinical emergency medicine. In traumatic bleeding, soft tissue injuries to the head or extremities are common, while severe bleeding is less common in chest injuries or pelvic trauma. In nontraumatic emergencies, gastrointestinal bleeding is the leading cause, but many other bleeding entities are possible. Structured management helps to detect the critically ill patient, identify the possible source of bleeding and provide appropriate radiological diagnostics and therapy. Clinical examination, blood gas analyses and emergency ultrasound are crucial in the initial phase of diagnosis. Initially, symptomatic therapy is usually indicated to stabilize the patient, and then interventional or surgical care is indicated in the course of the disease, depending on the location of the bleeding. Volume and catecholamine therapy, coagulation management and emergency transfusion are important components of interdisciplinary emergency care, in addition to primary bleeding control, especially in the case of open injuries.

USE OF AUGUMENTED REALITY IN TREATMENT OF PITUITARY MICROADENOMAS

Introduction Transsphenoidal surgery, performed using endoscopic or microscopic techniques, is a safe and effective method for treating neuroendocrine pituitary tumors, including microadenomas. However, the precise location of microadenomas can be challenging to determine, particularly in acromegaly patients, who often exhibit a reduced intracarotid distance. Augmented reality (AR), particularly through heads-up displays (HUD) integrated into surgical microscopes, has been predominantly utilized in transcranial approaches but shows potential in enhancing transsphenoidal procedures. Aim This study aims to present the surgical workflow, techniques, and outcomes associated with using AR in microscopic transsphenoidal surgery for pituitary microadenomas. Material and Methods All procedures were conducted at the Targu Mures Clinical Emergency Hospital’s Department of Neurosurgery between 2019 and 2024. A total of 15 cases were treated using AR-assisted techniques. While the surgical operative time was comparable to non-AR-assisted procedures, the preoperative setup was more time-consuming and required staging to optimize the surgical workflow. In all cases, surgeons successfully identified and resected the microadenomas without complications related to navigation accuracy. Conclusions The findings suggest that integrating AR into transsphenoidal surgery enhances anatomical understanding and precise localization of microadenomas, providing a valuable tool for neurosurgeons. However, AR cannot replace surgical expertise and clinical judgment.

Artificial Intelligence Applied in Early Prediction of Lower Limb Fracture Complications

Background: Artificial intelligence has become a valuable tool for diagnosing and detecting postoperative complications early. Through imaging and biochemical markers, clinicians can anticipate the clinical progression of patients and the risk of long-term complications that could impact the quality of life or even be life-threatening. In this context, artificial intelligence is crucial for identifying early signs of complications and enabling clinicians to take preventive measures before problems worsen. Materials and methods: This observational study analyzed medical charts from the electronic archive of the Clinical Emergency Hospital in Galați, Romania, covering a four-year period from 2018 to 2022. A neural network model was developed to analyze various socio-demographic and paraclinical data. Key features included patient demographics, laboratory investigations, and clinical outcomes. Statistical analyses were performed to identify significant risk factors associated with deep venous thrombosis (DVT). Results: The analysis revealed a higher prevalence of female patients (60.78%) compared to male patients, indicating a potential gender-related risk factor for DVT. The incidence of DVT was highest among patients aged 71 to 90 years, affecting 56.86% of individuals in this age group, suggesting that advanced age significantly contributes to the risk of developing DVT. Additionally, among the DVT patients, 15.69% had a body mass index (BMI) greater than 30, categorizing them as obese, which is known to increase the risk of thrombotic events. Furthermore, this study highlighted that the highest frequency of DVT was associated with femur fractures, occurring in 52% of patients with this type of injury. The neural network analysis indicated that elevated levels of direct bilirubin (≥1.5 mg/dL) and prothrombin activity (≤60%) were strong predictors of fracture-related complications, with sensitivity and specificity rates of 78% and 82%, respectively. These findings underscore the importance of monitoring these laboratory markers in at-risk populations for early intervention. Conclusions: This study identified critical risk factors for developing DVT, including advanced age, high BMI, and femur fractures, which necessitate longer recovery periods. Additionally, the findings indicate that elevated direct bilirubin and prothrombin activity play a significant role in predicting DVT development. These results suggest that AI can effectively enhance the anticipation of clinical evolution in patients, aiding in early intervention and management strategies.

Abstract Su801: Use of Large Language Models to Optimize Clinical Text Analysis for In-Hospital Cardiac Arrest Identification

Introduction/Background: In-hospital cardiac arrest (IHCA) is experienced by approximately 300,000 patients annually in the US. While individual care teams can readily identify IHCA at the bedside, the reporting of these events after the event often lacks consistency and poses a major challenge for hospitals across the US. Accurate and timely reporting of IHCA events is crucial for facilitating QI initiatives, such as CPR quality review, optimizing team performance, and benchmarking IHCA outcomes. Hypothesis: Large language models (LLMs) can be used to identify IHCA events at the patient encounter-level by analyzing targeted note types from the inpatient record with high performance. Methods: Adult (≥18 years old) inpatient encounters at the Hospital of the University of Pennsylvania from 06/2018 to 03/2022 with a reported clinical emergency were identified from a QI database. Discharge summaries and notes associated with the encounters of interest were extracted from the EHR and deidentified using a natural language processing tool. Notes were reviewed by research staff to ascertain true IHCA events. Positive IHCA was defined as the loss of pulses followed by the delivery of CPR. An LLM, GPT4 v. 32K-Chat, was employed on the Penn Medicine Microsoft Azure Databricks environment to compare zero- and few-shot prompting methods to identify IHCA. Model performance was measured using accuracy, precision, recall and F1 scores. Results: Manual chart review determined 96.8% and 3.2% of cases to be IHCA+ and IHCA-, respectively. A balanced pilot dataset of positive and negative cases was created and the accuracy values across strategically sampled note types was checked. Using zero-shot learning with Chain-of-Thought (COT) prompting, the LLM performed with an accuracy of 86%, precision of 77%, recall of 100%, and F1-score of 87%. Using three-shot learning with COT, the LLM performed with an accuracy of 90%, precision of 83%, recall of 100%, and F1-score of 91%. Conclusions: This study demonstrates the potential efficacy of leveraging LLMs to automatically classify IHCA from strategically sampled note types using both zero and few-shot learning approaches. In the future, we will implement temporal sampling of note types and refine model parameters such as output token size and temperature. These findings suggest that such technologies can be effective in real-world clinical settings, providing a scalable solution to improve patient outcomes and quality improvement efforts.

Renata Sanches

Recently we found the world in a state of pandemic caused by the SARS-CoV-2 virus, caused by the so-called COVID-19, which caused a great impact in several aspects and instances. Consequently, over time researchers entered the field to understand more about etiology, immunity, prophylaxis, among other advances to face and understand the new ephemerality that covers the world. In view of various analyses, studies, research, COVID-19 is increasingly found to be correlated with other diseases, both in worsening clinical conditions, emergencies and propensities of the most varied possibilities. This research focuses on the contribution of COVID-19 to the advancement of individuals prone to chronic

“Where Are They Now? Attrition Rates of EM residency graduates by Gender”

Prior studies examined the retention of women emergency physicians through residency training, but their career paths on completing residency are less well understood. Our primary objective was to identify a difference in attrition rates between binary genders of practicing clinical emergency physicians within 10 to 30 years after residency graduation. Our secondary aims investigated gender differences in geographic practice location, academic, and community practice. We hypothesized that women emergency physicians have higher rates of attrition from clinical practice than men. In this cohort study, we tracked employment over 10 to 30 years of graduates from allopathic emergency medicine residency programs established before 2005 and those who graduated before 2010. We obtained graduate lists from 21 residency programs representing geographically diverse training programs in the United States. We utilized public databases to investigate current licensure, board certification, practice location, and occupation for graduates more than 10 years after residency graduation. Physicians who do not practice clinically in emergency medicine or an emergency medicine subspecialty were placed in the "attrition" category. "Not available" was defined as those individuals who did not have adequate information available online. We analyzed differences in attrition of women and men emergency physicians in clinical practice in 2020. We also noted whether they worked in an academic or community setting and assessed their geographic clinical practice region. We identified a total of 4,170 graduates. Of those, 445 (10.6%) were excluded because of insufficient information. Of the 3,725 emergency medicine residency graduates, 71% were men. The attrition rate from clinical emergency medicine for men was 5.3% (95% confidence interval, 4.4% to 6.1%) and the attrition rate for women was 5.8% (95% confidence interval, 4.4% to 7.2%). The difference between the 2 proportions was -0.005 (95% confidence interval, -0.02 to 0.01). There were no gender differences in geographic location or practice type. We did not observe differences in attrition rates by gender in our sample from 21 programs over a 30-year period. The findings from this cohort are disparate from reports of recent emergency medicine graduates and identifying reasons for attrition of emergency physicians will be important to understanding the workforce needs of the future.

External Validation of the Predictive Accuracy of Clinical and Immunological Scores in COVID-19 Outcomes in a Retrospective Cohort Study

Background and Objectives: The COVID-19 pandemic has necessitated the development of reliable prognostic tools to predict patient outcomes and guide clinical decisions. This study evaluates the predictive utility of several clinical scores—PAINT, ISARIC4C, CHIS, COVID-GRAM, SOFA, and CURB-65—for in-hospital mortality among COVID-19 patients, comparing their effectiveness at admission and seven days post-symptom onset. Methods: In this retrospective cohort study conducted at the Clinical Emergency Hospital Pius Brînzeu in Timișoara, adult patients hospitalized with confirmed SARS-CoV-2 infection were included. The study was approved by the Local Ethics Committee, adhering to GDPR and other regulatory standards. Prognostic scores were calculated using patient data at admission and Day 7. Statistical analyses included ROC curves, Kaplan–Meier survival analysis, and multivariate Cox regression. Results: The study comprised 269 patients, with a notable distinction in outcomes between survivors and non-survivors. Non-survivors were older (mean age 62.12 years) and exhibited higher comorbidity rates, such as diabetes (55.56% vs. 31.06%) and cardiovascular diseases (48.15% vs. 29.81%). Prognostic scores were significantly higher among non-survivors at both time points, with PAINT and ISARIC4C showing particularly strong predictive performances. The AUROC for PAINT increased from 0.759 at admission to 0.811 by Day 7, while ISARIC4C demonstrated an AUROC of 0.776 at admission and 0.798 by Day 7. Multivariate Cox regression indicated that a PAINT score above 8.10 by Day 7 was associated with a hazard ratio (HR) of 4.9 (95% CI: 3.12–7.72) for mortality. Conclusions: The study confirms the strong predictive value of the PAINT, ISARIC4C, CHIS, COVID-GRAM, SOFA, and CURB-65 scores in determining mortality risk among hospitalized COVID-19 patients. These scores can significantly aid clinicians in early-risk stratification and resource prioritization, potentially enhancing patient management and outcomes in acute care settings.

Iatrogenic botulism after intragastric botulinum neurotoxin injections – a major outbreak

BackgroundIntragastric botulinum neurotoxin injections (IBNI) are offered off-label in the private medical sector in a few European countries as a safe and effective weight-loss measure. In February and March 2023, an outbreak of iatrogenic botulism occurred in several European countries following IBNI treatment in Turkey. This case series describes the clinical features of severe iatrogenic botulism after IBNI.MethodsWe retrospectively summarize the clinical course and emergency department and intensive care unit interventions in ten cases of severe iatrogenic botulism that occurred after receiving IBNI in this sudden outbreak in Austria and Germany.ResultsSeven out of ten cases initially showed characteristic symptoms of botulism with diplopia, dysphagia, dysarthria, dysarthrophonia, and descending paralysis. All patients were hospitalized, six in an intensive care unit and partially requiring mechanical ventilation. All patients recovered and were discharged without relevant permanent deficits.ConclusionOur study highlights ten clinical cases in this iatrogenic botulism outbreak, representing the largest reported outbreak worldwide. Clinicians should be aware of the risks associated with medical procedures involving botulinum neurotoxins and ensure measures to minimize the risk of iatrogenic botulism.

Mobile computed tomography at the Munich Oktoberfest : From idea to implementation.

The Munich Oktoberfest, the largest folk festival in the world, attracts around 6.2million visitors over 16-18days. Some of the visitors exhibit certain risky behaviors, leading to asignificantly increased number of medical emergencies during the festival. During Oktoberfest, the prehospital and clinical emergency services of the city are heavily strained, as one-third more ambulances are needed, and over 7000 patients must be treated on-site each year. Until 2022, there was no option for guideline-compliant radiological assessment on-site for patients with head or facial trauma and suspected serious trauma-related injuries. This required alarge number of emergency service admissions to hospitals, mostly for outpatient assessments. To relieve the overburdened medical system, amobile computed tomography (CT) scanner was set up on the Oktoberfest grounds in 2022 for the first time. Amobile CT scanner at the Munich Oktoberfest was utilized for diagnosing injuries to the face, cranium, and cervical spine. For an indication of cranial CT, we used acombination of the Canadian CT Head Rule and NEXUS criteria. Despite the complex structural conditions, this integration seamlessly fit into the structured processes of the on-site medical service. Since this deployment was, to our knowledge, the first of its kind globally, we had to develop and implement new clinical concepts and procedures tailored to the unique conditions of afolk festival. We demonstrated that aCT scanner could be effectively integrated into the preclinical processes of amedical service without direct hospital connection. On-site CT diagnostics proved to be ahighly effective means of avoiding unnecessary transportation to the hospital. Consequently, areduction in emergency medical service provision and stabilization of clinical emergency medicine during the Oktoberfest became feasible. From the authors' perspective, establishing amobile CT scanner at events with high or very high demands on preclinical and clinical emergency medicine is feasible and provides significant relief for the system. The primary goal of stabilizing prehospital and clinical emergency structures, as well as improving the detection and treatment of potentially life-threatening patients on-site, was successfully achieved. Careful integration into the overall process flow is essential.

Feasibility of Emergency Department-Initiated HIV Pre-Exposure Prophylaxis

Introduction: Pre-exposure prophylaxis (PrEP) for HIV—using antiretroviral medication in non-infected individuals to prevent HIV—has immense potential to slow the spread of the virus. However, uptake has been insufficient, and stark racial disparities exist in both HIV acquisition and PrEP usage, making PrEP access a health equity issue. A promising venue to engage high-risk populations in PrEP care is the emergency department (ED); however, existing ED PrEP initiatives have been costly or have had limited success. We hypothesize that two strategies could overcome these barriers: prescribing PrEP during an ED visit and providing patients with an initial supply of PrEP medication in the ED. Here, we describe the results of a qualitative study exploring multidisciplinary emergency clinicians and HIV clinicians’ needs and views about the feasibility of such an initiative. Methods: We conducted 22 semi-structured interviews with multidisciplinary clinicians from an urban, safety-net medical center in the ED and the on-site HIV clinic that provides PrEP services.We performed thematic analysis to summarize challenges and potential solutions described by participants. Results: Participants’ responses fell into three thematic categories: operational challenges; patient-level considerations; and potential impacts. Operational challenges highlighted the difficulty of PrEP initiation in a busy ED and clinician support needs. Patient-level considerations included the complex psychosocial needs of ED patients who could benefit from PrEP. Finally, participants anticipated that an ED-based PrEP initiation program could positively impact both individual patients and public health. Conclusion: Interviews with emergency department and HIV clinic staff revealed important considerations and potential solutions for ED-initiated PrEP workflows. Clinicians in both specialties were enthusiastic about such an initiative, which could facilitate its success. This study lays the groundwork for the future design of an efficient and innovative workflow to leverage the ED as an essential entry point into HIV prevention services.

MicroRNAs are enriched at COVID-19 genomic risk regions, and their blood levels correlate with the COVID-19 prognosis of cancer patients infected by SARS-CoV-2

BackgroundCancer patients are more susceptible to an aggressive course of COVID-19. Developing biomarkers identifying cancer patients at high risk of COVID-19-related death could help determine who needs early clinical intervention. The miRNAs hosted in the genomic regions associated with the risk of aggressive COVID-19 could represent potential biomarkers for clinical outcomes.Patients and methodsPlasma samples were collected at The University of Texas MD Anderson Cancer Center from cancer patients (N = 128) affected by COVID-19. Serum samples were collected from vaccinated healthy individuals (n = 23) at the Municipal Clinical Emergency Teaching Hospital in Timisoara, Romania. An in silico positional cloning approach was used to identify the presence of miRNAs at COVID-19 risk-associated genomic regions: CORSAIRs (COvid-19 RiSk AssocIated genomic Regions). The miRNA levels were measured by RT-qPCR.ResultsWe found that miRNAs were enriched in CORSAIR. Low plasma levels of hsa-miR-150-5p and hsa-miR-93-5p were associated with higher COVID-19-related death. The levels of hsa-miR-92b-3p were associated with SARS-CoV-2 test positivity. Peripheral blood mononuclear cells (PBMC) increased secretion of hsa-miR-150-5p, hsa-miR-93-5p, and hsa-miR-92b-3p after in vitro TLR7/8- and T cell receptor (TCR)-mediated activation. Increased levels of these three miRNAs were measured in the serum samples of healthy individuals between one and nine months after the second dose of the Pfizer-BioNTech COVID-19 vaccine. SARS-CoV-2 infection of human airway epithelial cells influenced the miRNA levels inside their secreted extracellular vesicles.ConclusionsMiRNAs are enriched at CORSAIR. Plasma miRNA levels can represent a potential blood biomarker for predicting COVID-19-related death in cancer patients.

Epidemiology and outcome of medical emergency team calls within 48 hours of intensive care unit discharge.

Some patients experience early (within 48 h) clinical deterioration and medical emergency team (MET) review following intensive care unit (ICU) discharge. Few studies have explored early MET review, despite it being a recognised quality and safety indicator. To evaluate the (i) proportion of patients discharged from ICU receiving MET review and timing of reviews; (ii) characteristics of patients who received early MET review and (iii) predictors of early MET review and associations with clinical outcomes. This is a retrospective observational study of ICU discharges over 2 years in a tertiary hospital and involves descriptive and inferential statistics, including logistic regression analysis. Of 3712 patients, 312 (8.4%) had an early MET review. Patients with cardiothoracic, cardiovascular, gastrointestinal and general surgical diagnoses, higher illness severity or who received invasive ventilation had a higher risk of early MET review. On multivariable analysis, early MET review was associated with an increased risk of ICU re-admission (odds ratio (OR) 6.76, 95% confidence interval (CI) 5.01-9.13, P < 0.001), in-hospital mortality (OR 3.62, 95% CI 2.19-5.99, P < 0.001) and discharge to a nursing home (OR 2.49, 95% CI 1.25-4.97, P = 0.01). Length of stay was longer in patients requiring early post-ICU MET review compared to those who did not (median 16 days vs. 10 days, P < 0.001). One in 12 patients received post-ICU early MET review. This was more likely in patients who were invasively ventilated, had higher illness severity and had certain admission diagnoses. Such patients were at risk for worse outcomes. There is a need to identify reversible factors contributing to such increased risk.

Ensuring Clinical Excellence: The Mindray SAL9000 Biochemical Immunoassay System.

This study aimed to evaluate the performance and clinical laboratory adaptability of the Mindray SAL9000 biochemical immunoassay automation system, ensuring compliance with ISO 15189 standards and relevant national requirements. We conducted comprehensive performance verification tests on 21 biochemical analytes and 15 immunoassays, including precision, accuracy, linear bias, measurement range assessments, interference testing, reference range validation, inter-instrument comparison, and carryover verification. The Mindray SAL9000 demonstrated high performance across various parameters, with all analytes showing good linearity and minimal bias. While specific interfering substances affected some analytes, the system showed excellent resistance to common interferences such as hemolysis, ascorbic acid, and jaundice. The inter-instrument comparison with the BS2000M and Roche 702 indicated a good correlation, with most parameters showing biases of less than 10%, although exceptions were noted for ALT and AST. In conclusion, the Mindray SAL9000 meets clinical requirements through its high precision, excellent accuracy, and broad measurement range, making it a reliable and adaptable choice for clinical outpatient and emergency laboratories.

Vascular Perspectives of the Midfacial Superficial Musculoaponeurotic System.

Objectives: Presently, data on the vascularization of the superficial musculoaponeurotic system of the face (SMAS) are lacking. Thus, the present study aimed to provide new conclusive data about the topography, density, and relationship of the SMAS blood vessels with other components, namely, the fibrous connective tissue and muscles. Methods: The study included a control lot of 42 cases from the archive of the radiology department. In this group, nuclear magnetic resonance angiography (MRA) was performed in order to identify the main sources of vascular supply. In the second group, tissue samples were collected from the midfacial region of 45 patients from the Oro-Maxillo-Facial and Plastic and Reconstructive Surgery clinics of 'St. Spiridon' County Clinical Emergency Hospital, Iasi. These patients received surgery for excision of tumoral formations that did not involve SMAS components. These samples underwent micro-CT analysis, hematoxylin and eosin (HE) staining, as well as immunohistochemical (IHC) staining for collagen type III, muscle tissue, and the vascular endothelium. Results: We discovered the particular way in which the SMAS components interrelate with vascularization and the regional differences between them. We have discovered a new vascular network specific to the SMAS, highlighted by both the micro-CT technique and microscopy on slides with special IHC staining. Significant differences were observed in the topographic arrangement, density, and relationships of the microscopic vasculature across midfacial regions. IHC staining provided morphological and functional information about the structure and vascularization of SMAS. Conclusions: The MRA technique could not detect the structural blood vessels of the SMAS and other methods for their in vivo visualization must be sought. The blood vessels of the SMAS mainly follow the topography of the muscle fibers. From the SMAS layer where they are found, the distribution branches reach the stroma of the region and the hypoderm. Our data can contribute to the development of surgical techniques tailored to each individual patient, as well as the enhancement of methods for stimulating cutaneous angiogenesis, improving scarring in this region, and advancing biotissue engineering techniques.

Permissioned blockchain network for proactive access control to electronic health records

BackgroundAs digital healthcare services handle increasingly more sensitive health data, robust access control methods are required. Especially in emergency conditions, where the patient’s health situation is in peril, different healthcare providers associated with critical cases may need to be granted permission to acquire access to Electronic Health Records (EHRs) of patients. The research objective of this work is to develop a proactive access control method that can grant emergency clinicians access to sensitive health data, guaranteeing the integrity and security of the data, and generating trust without the need for a trusted third party.MethodsA contextual and blockchain-based mechanism is proposed that allows access to sensitive EHRs by applying prognostic procedures where information based on context, is utilized to identify critical situations and grant access to medical data. Specifically, to enable proactivity, Long Short Term Memory (LSTM) Neural Networks (NNs) are applied that utilize patient’s recent health history to prognose the next two-hour health metrics values. Fuzzy logic is used to evaluate the severity of the patient’s health state. These techniques are incorporated in a private and permissioned Hyperledger-Fabric blockchain network, capable of securing patient’s sensitive information in the blockchain network.ResultsThe developed access control method provides secure access for emergency clinicians to sensitive information and simultaneously safeguards the patient’s well-being. Integrating this predictive mechanism within the blockchain network proved to be a robust tool to enhance the performance of the access control mechanism. Furthermore, the blockchain network of this work can record the history of who and when had access to a specific patient’s sensitive EHRs, guaranteeing the integrity and security of the data, as well as recording the latency of this mechanism, where three different access control cases are evaluated. This access control mechanism is to be enforced in a real-life scenario in hospitals.ConclusionsThe proposed mechanism informs proactively the emergency team of professional clinicians about patients’ critical situations by combining fuzzy and predictive machine learning techniques incorporated in the private and permissioned blockchain network, and it exploits the distributed data of the blockchain architecture, guaranteeing the integrity and security of the data, and thus, enhancing the users’ trust to the access control mechanism.

Clinical management of active bleeding: what the emergency radiologist needs to know.

Active bleeding is a clinical emergency that often requires swift action driven by efficient communication. Extravasation of intravenous (IV) contrast on computed tomography (CT) is a hallmark of active hemorrhage. This can be seen on exams performed for a variety of indications and can occur anywhere in the body. As both traumatic and non-traumatic etiologies of significant blood loss are clinical emergencies, exams demonstrating active bleeding are often performed in emergency departments and read by emergency radiologists. Prompt communication of these findings to the appropriate emergency medicine and surgical providers is crucial. Although many types of active hemorrhage can be managed by interventional radiology techniques, endoscopic and surgical management or clinical observation may be appropriate in certain cases. To facilitate optimal care, it is important for emergency radiologists to understand the scope of indications for embolization of bleeding by interventional radiologists (IR) and when an IR consultation is warranted. Similarly, timely comprehensive diagnostic radiology reporting including pertinent positive and negative findings tailored for IR colleagues can expedite the appropriate intervention.

Leadership Lingo: Developing a Shared Language of Leadership Behaviors to Enrich Debriefing Conversations.

Leadership in medical emergencies is variable and frequently suboptimal, contributing to poor patient care and outcomes. Simulation training can improve leadership in both simulated practice and real clinical emergencies. Thoughtful debriefing is essential. However, unclear language around leadership limits facilitators' capacity for transformative reflective discussion. Internal medicine trainees participated in simulated medical emergency scenarios. Video recordings of consenting participants were analyzed using template analysis. A priori codes from existing literature formed an initial coding template. This was modified with inductive codes from the observed behaviors to develop a taxonomy of leadership behaviors in simulated medical emergencies. The taxonomy was then transformed into an infographic, to be used as a leadership debriefing tool. The taxonomy of leadership behaviors consisted of the following 4 themes: Structuring, Decision making, Supporting, and Communicating. Structuring behaviors shaped the team, ensuring that the right people were in the right place at the right time. Decision-making behaviors steered the team, setting a direction and course of action. Communicating behaviors connected the team, sharing valuable information. Supporting behaviors nurtured the team, guiding team members to perform at their optimum level. Debriefing-as-imagined is not always debriefing-as-done. A shared language of leadership can connect educators and learners, advancing critical debriefing conversations and enabling facilitators to drive meaningful reflective discussion. The use of infographics in simulation offers an opportunity to support educators in facilitating complex debriefing conversations.

"Death Is Not a Dirty Word:" A Qualitative Study of Emergency Clinician End-of-Life Communication.

Pediatric patients with life-limiting diagnoses frequently seek care in the pediatric emergency department (PED) during times of acute illness, or at end-of-life (EOL) . Although the population of patients with life-limiting diagnoses is heterogenous, clinician expertise in EOL communication is essential to providing family-centered care. In this study, we explored PED physician and nurse experiences with communication when eliciting EOL values, including factors specified to the PED environment, clinician perceptions of family supports and preferences, and clinicians' self-reflection of their skills and challenges in this sphere. We performed a prospective qualitative study using semistructured interviews of PED physicians and nurses recruited from a quaternary care center. Thematic content analysis was performed on the transcribed interviews to identify codes and, ultimately, themes. We interviewed 17 emergency department clinicians, including 10 physicians and 7 nurses. Thematic content analysis revealed 6 salient themes. The first theme related to contextual factors of the emergency department environment. Two additional themes related to patient and family characteristics, including unique patient and family factors and clinician interpretation of parental/family needs. Lastly, we found 3 clinician-focused themes including knowledge gaps in EOL communication, communication styles and priorities in EOL conversations with families, and coping with ethical challenges. PED clinicians report communication-related challenges to providing optimal care for families and patients with life-limiting diagnoses. Participants self-identified gaps in communication skills in this area. Future studies should focus on clinician educational interventions on the basis of this needs assessment and include family perspectives to develop best practice.

Association of polypharmacy with clinical outcomes and healthcare utilization in older adults with cardiometabolic diseases: a retrospective cohort study.

Limited knowledge exists on the association between polypharmacy among older patients diagnosed with cardiometabolic diseases and the risk of clinical outcomes and healthcare utilization. This study aimed to estimate the impact of polypharmacy on clinical outcomes and healthcare utilization in older adults with cardiometabolic diseases. A retrospective cohort analysis was performed using data from the Beijing Municipal Medical Insurance Database. The study focused on polypharmacy prescribing patterns in community-dwelling adults 65years and older with cardiometabolic diseases. Polypharmacy was defined as the use of five or more medications on the index date. The primary outcome included clinical outcomes, including hospitalizations and emergency department visits. The secondary outcome focuses on hospital utilization, specifically medication costs and length of stay. The study included a cohort of 405,608 patients. Among these, the most frequently used drug classes in the polypharmacy and non-polypharmacy groups were HMG-CoA reductase inhibitors and dihydropyridines, respectively. After adjustment for covariates, polypharmacy was not associated with an increased risk of hospitalization (odds ratio [OR] 1.09, 95% confidence interval [CI] 0.95-1.26, p = 0.23) or ED visits (OR 1.28, 95% CI 0.97-1.68, p = 0.08). Similarly, no significant association was found with an increase in inpatient medication costs ($2,620.5, 95% CI $2387.3-$2894.3, p = 0.97) or length of stay (3.98days, 95% CI 3.68-4.30days, p = 0.79). However, polypharmacy was associated with higher medication costs in outpatient settings ($73.07, 95% CI $72-$74, p < 0.05) and ED visits ($51.2, 95% CI $44.5-$59.1, p < 0.05). Although polypharmacy is associated with increased healthcare costs in outpatient settings and ED visits, it does not significantly increase the risk of hospitalization or ED visits when properly managed.

Reframing Child Protection in Emergency Medicine

Child maltreatment remains a concerning source of morbidity and mortality in the United States, where more than 600,000 children are victims of abuse each year, with well-described, long-term consequences for physical and mental health. However, the US child welfare system is characterized by systemic racism and inequity. Black and Native American children are more likely to be evaluated and reported for suspected abuse despite evidence that race does not independently change their risk of being abused. Once reported to child protective services (CPS), these children are more likely to be removed from their homes and less likely to be reunited with their families than White children. Much of the inequity in this system starts at the front door, where a growing body of research demonstrates that bias regularly infiltrates decision-making in the initial clinical evaluation and management of suspected abuse. Minority children presenting to emergency departments (ED) are more likely to receive diagnostic testing and are more likely to be referred to CPS. In this editorial, we argue for the application of an equity lens to child protection in the ED. We discuss how emergency physicians can balance efforts to protect children from abuse with the imperative to protect children and families from the harms of an inequitable child welfare system. Our discussion concludes with concrete recommendations for emergency clinicians to participate in active bias mitigation and thoughtfully navigate their responsibilities as mandated reporters.