Emergency Department Admission Research Articles

Herbal medicine use in patients seeking treatment in emergency departments

To ascertain the extent of toxicological profiles around their medical use, herbal medicine use problems need to be consistently traced for consumer safety. Medical information regarding botanical use in various diseases or disorders, as well as adverse/toxicological effects of the botanicals, was sourced from scientific databases. Patients who request medical care at hospitals may be using at least one formulation of botanicals at the time of the visit, and some of the used medicinal plant products possess the potential to be the cause of toxicity as well as herb–conventional drug interactions. Emergency healthcare providers must be aware of some potential adverse events that may be seen in admitted emergency department patients when the herbal medicine is used alone or concomitantly with conventional medicine. Moreover, emergency healthcare providers must be knowledgeable of herbal medicine practices to ensure that optimal treatments will be selected for these patients.

Assessing sepsis-induced immunosuppression to predict positive blood cultures

IntroductionBacteremia is a life-threatening condition that can progress to sepsis and septic shock, leading to significant mortality in the emergency department (ED). The standard diagnostic method, blood culture, is time-consuming and prone to false positives and false negatives. Although not widely accepted, several clinical and artificial intelligence-based algorithms have been recently developed to predict bacteremia. However, these strategies require further identification of new variables to improve their diagnostic accuracy. This study proposes a novel strategy to predict positive blood cultures by assessing sepsis-induced immunosuppression status through endotoxin tolerance assessment.MethodsOptimal assay conditions have been explored and tested in sepsis-suspected patients meeting the Sepsis-3 criteria. Blood samples were collected at ED admission, and endotoxin (lipopolysaccharide, LPS) challenge was performed to evaluate the innate immune response through cytokine profiling.ResultsClinical variables, immune cell population biomarkers, and cytokine levels (tumor necrosis factor [TNFα], IL-1β, IL-6, IL-8, and IL-10) were measured. Patients with positive blood cultures exhibited significantly lower TNFα production after LPS challenge than did those with negative blood cultures. The study also included a validation cohort to confirm that the response was consistent.DiscussionThe results of this study highlight the innate immune system immunosuppression state as a critical parameter for sepsis diagnosis. Notably, the present study identified a reduction in monocyte populations and specific cytokine profiles as potential predictive markers. This study showed that the LPS challenge can be used to effectively distinguish between patients with bloodstream infection leading to sepsis and those whose blood cultures are negative, providinga rapid and reliable diagnostic tool to predict positive blood cultures. The potential applicability of these findings could enhance clinical practice in terms of the accuracy and promptness of sepsis diagnosis in the ED, improving patient outcomes through timely and appropriate treatment.

Emergency department visits, inpatient hospitalizations, and non-fatal and fatal drug overdoses during COVID-19 among Veterans with opioid use disorder.

The COVID-19 pandemic had dramatic adverse impacts on people with opioid use disorder (OUD), as evidenced by significant disruptions to care and unprecedented increases in drug overdoses. In this study, we evaluated the impacts of COVID-19 on utilization of emergency and inpatient care, and fatal and non-fatal overdoses among veterans with OUD. We used Veterans Health Administration (VHA) electronic medical record and mortality data to compare emergency department (ED) visits, inpatient hospitalizations, and fatal and non-fatal overdoses between a pandemic-exposed cohort of veterans with OUD observed both pre- and post-pandemic onset (n = 53,803; observed January 2019-March 2021) to a matched pre-pandemic control group (n = 53,803; observed October 2017-December 2019). Compared to pre-pandemic trends, there were significant decreases in the odds of ED and inpatient admissions and total number of ED and inpatient admissions during COVID-19. There was a significant decrease in the odds of having a recorded non-fatal overdose. The odds of overdose death increased during the pandemic compared to pre-pandemic trends. We observed significant decreases in the utilization of ED and inpatient care services, and fewer non-fatal overdoses, post-pandemic onset. Healthcare disruptions limiting access to emergency and inpatient care could account for the lower number of recorded non-fatal overdoses, potentially reflecting an underestimate of risk. In contrast, fatal overdoses increased during the pandemic compared to pre-pandemic trends. Lower utilization of emergency and inpatient care, and higher rates of fatal overdoses during the pandemic, suggest an exacerbation of unmet treatment need post-pandemic onset.

Adverse events following transcatheter aortic valve implantation (TAVI) in patients with amyloidosis: observations from a global federated network

Abstract Background A high proportion of patients with aortic stenosis are affected by cardiac amyloidosis, but there is a paucity of data describing the effect of amyloidosis on the clinical course of patients who underwent transcatheter aortic valve implantation (TAVI). Purpose To assess the one-year risk of adverse events following TAVI in patients with amyloidosis. Methods Retrospective study using data from a large multinational electronic health record network (TriNetX). Patients aged 18 years or older who underwent TAVI between 2005 and 2022 were included in the analysis. The patients were categorised in two groups based on the presence of amyloidosis (ICD-10-cm code E85). Primary outcome was the one-year risk of the composite of emergency department (ED) admission, acute heart failure (HF), stroke, conduction system disease, pacemaker (PM) implantation, acute kidney injury, and all-cause death. Secondary outcomes were the risks for each component of the composite outcome. We used Cox regression analysis to calculate hazard ratio (HR) and 95% confidence interval (CI) after propensity score matching (PSM) 1:1. Results We identified 477 TAVI recipients with a diagnosis of amyloidosis (age 78.6±8.1 years, 31.4% females) and 43,379 TAVI patients without a diagnosis of amyloidosis (78.1±8.8, 40.2% females). Before PSM, patients affected by amyloidosis were more likely to be Black or African American and had a higher prevalence of cardiovascular risk factors compared to TAVI patients without amyloidosis. After PSM, patients with a diagnosis of amyloidosis showed a higher one-year risk of composite outcome (HR 1.28, 95%CI 1.10-1.49) compared to those who underwent TAVI without amyloidosis. Regarding secondary outcomes, amyloidosis patients had a higher risk of ED admission (HR 1.41, 95%CI 1.13-1.75), acute HF (HR 1.56, 1.23-1.99), stroke (HR 1.55, 1.04-2.32), conduction system disease (HR 1.27, 1.04-1.55), PM implantation (HR 1.55, 1.06-2.28), but not acute kidney injury (HR 1.11, 0.84-1.48) and all-cause death (HR 0.98, 0.66-1.45). Conclusion Among patients undergoing TAVI, those affected by amyloidosis are at higher risk of adverse events in the first year after TAVI. More studies are needed to define the exact role of amyloid fibrils in structural valve deterioration and to elucidate whether subtypes of amyloidosis have a different impact on patients’ outcomes following TAVI.Risk of composite outcome following TAVI

Chronic Coronary Syndromes with/without obstructive coronary arteries: are there differences in ongoing chest pain?

Abstract Background Stable coronary artery disease (CAD) is the archetype chronic coronary syndrome, clinically manifesting as angina with obstructive CAD on angiography and managed via evidence-based guidelines. In contrast, patients with Angina with Non-Obstructive Coronary Arteries (ANOCA) are often diagnosed with ‘non-specific chest pain’ and not appropriately managed. Purpose To compare the Seattle Angina Questionnaire (SAQ) responses and 3-year rates of chest pain hospital presentations in patients with ANOCA compared to Stable CAD. Methods Consecutive angina patients undergoing elective coronary angiography enrolled in the CADOSA (Coronary Angiogram Database of South Australia) Registry between 2012-18 were included. Consenting patients participated in a longitudinal health status assessment utilising the SAQ. In-hospital clinical data was extracted from CADOSA and mortality and hospitalisation data over 12-months was extracted via administrative records. Results Of 6,372 consecutive patients undergoing elective angiography for the investigation of chest pain 2,287 had ANOCA and 4,085 Stable CAD. ANOCA patients were younger (61±11 vs 66±11, p<0.05) and more often female (59% vs 27%, p<0.05) compared to Stable CAD. The SAQ health status assessment was completed at baseline, 1 and 12-months for 377 patients (ANOCA n=156, Stable CAD n=221). At 12-month follow-up, there were no differences in SAQ scores amongst all domains (physical limitation- 92±16 vs 92±15, angina stability- 64±25 vs 62 ±24, angina frequency- 91±17 vs 92±16, treatment satisfaction- 94±13 vs 94±13 and quality of life- 78±22 vs 81±21) between ANOCA and Stable CAD, all p>0.05. However, in the 12-month follow-up, ANOCA patients were less likely to have a chest pain hospital emergency department presentation (10% vs 15%, p<0.001) or admission (6% vs 12%, p<0.005) compared to the Stable CAD cohort. Conclusion Although patient-reported outcomes were identical between Stable CAD and ANOCA patients, the latter were less likely to present to emergency department or be admitted to hospital than their Stable CAD counterparts, reflecting the clinical nihilism encountered in the ANOCA patient journey.

Remote management of worsening heart failure events and subsequent rate of emergency department admission

Abstract Background Worsening heart failure (WHF) is the leading cause of hospitalization among individuals aged ≥ 65 years and constitutes a substantial burden for both the patient and the healthcare systems. Moreover, heart failure contributes to exacerbate the pressure on emergency departments which are involved in 64% of heart failure hospital admission (1). Remote management of heart failure as been shown to reduce the number of days lost due to unplanned cardiovascular hospitalizations and all-cause mortality (2, 3), but little is known about the effect on the emergency healthcare use. We aimed to describe the effect of a telemonitoring program on the rate of emergency admissions for WHF in chronic heart failure patients. Methods All patients enrolled in the heart failure remote management program of two French centers between 13 April 2020 and 31 January 2023 were included in the study. Follow-up data were collected until 31 January 2023. Inclusion criteria were chronic heart failure (HF) with New York Heart Association ≥II and an elevated B-type natriuretic peptide (BNP > 100 pg/mL or N-terminal-pro-BNP > 1000 pg/mL). Remote evaluation included measurements of body weight, blood pressure, heart rate, symptoms, biochemical parameters, and data from cardiac implantable electronic devices when available. Results A total of 1,095 patients (72±11.8 years old, 69.7% male), were followed for a median [IQR] of 437 [182; 739] days with a mean adherence to the remote monitoring system of 67.6±30.3%. Over this period, 198 (18.1%) patients had 949 WHF events, the majority of whom were remotely detected: 830 (87.5%). Overall, 246 (26%) of the WHF episodes required hospitalisation and 109 (11%) prompted an emergency department visit. When the WHF event was remotely detected, hospitalization was only required in 127 (15%) cases and the rate of emergency department visit was reduced to 3%. Conclusion In HF patients engaged in a multiparametric remote management program, the rate of emergency department admission is very low. Adopting such a strategy for patients with chronic HF may be useful in reducing emergency department overcrowding.Baseline characteristics of patientsPatients course and use of resources

Emergency Department admissions for Acute Respiratory Infections: a retrospective analysis

Abstract Background Acute Respiratory Infections (ARIs) have a relevant impact on public health in terms of prevalence and costs associated with the diseases. The COVID-19 pandemic highlighted the need to adopt accurate surveillance systems to respond to new emergencies and meet the demand for access to care. The aim of our work is to describe the accesses at the Emergency Departement (ED) of the Pisa University Hospital (AOUP), Italy, for ARIs, from 2017 to 2021. Methods A retrospective analysis of electronic medical records from the AOUP was conducted from January 2017 to December 2021. The analysis focused on ED admissions and positive lab test results, examining their correlation with ED visits caused by ARI. Multiple linear regression models were used to understand the influence of viral laboratory results on ARI-related ED admissions, adjusting the results for age. The study also assessed the contribution of each virus incausing ARI within different age groups. Results 33,101 (annual average 5,520) ARI admissions in ED were registered, resulting in 7,426 hospital admissions (22.8%, annual average 1,163) with a seasonal pattern between week 42 of each year and week 17 of the following year. The reduction in emergency room admissions in 2020 (weekly average of 78.2, compared to 144.3 in 2017-2019) may be due to the restrictions implemented for the COVID-19 pandemic. Nevertheless, the average weekly rate of ED admissions caused by ARI was 30.8% in 2020, as compared with 21.7% in 2017-2019. Analysis by age group showed a peak of accesses in the last weeks of 2021 for the <1 and 1-4 years old age groups. Conclusions Data on ARI-related admissions provide valuable insights into the dynamic patterns of seasonal air-borne infections and age-related vulnerabilities. This could be useful in directing health policies to identify indicators of future epidemic waves, contributing to the ongoing efforts to enhance preparedness and response strategies for respiratory infections. Key messages • It is important to create an integrated surveillance system to monitor and respond to ARIs. • Strategies should prioritise vaccination campaigns, particularly for RSV and influenza.

Prospective and External Validation of Machine Learning Models for Short- and Long-Term Mortality in Acutely Admitted Patients Using Blood Tests

Background: Predicting mortality in emergency departments (EDs) using machine learning models presents challenges, particularly in balancing simplicity with performance. This study aims to develop models that are both simple and effective for predicting short- and long-term mortality in ED patients. Our approach uses a minimal set of variables derived from one single blood sample obtained at admission. Methods: Data from three cohorts at two large Danish university hospitals were analyzed, including one retrospective and two prospective cohorts where prognostic models were applied to predict individual mortality risk, spanning the years 2013–2022. Routine biochemistry analyzed in blood samples collected at admission was the primary data source for the prediction models. The outcomes were mortality at 10, 30, 90, and 365 days after admission to the ED. The models were developed using Light Gradient Boosting Machines. The evaluation of mortality predictions involved metrics such as Area Under the Receiver Operating Characteristic Curve (AUC), sensitivity, specificity, negative predictive values, positive predictive values, and Matthews correlation coefficient (MCC). Results: A total of 43,648 unique patients with 65,484 admissions were analyzed. The models showed high accuracy, with very good to excellent AUC values between 0.87 and 0.93 across different time intervals. Conclusions: This study demonstrates that a single assessment of routine clinical biochemistry upon admission can serve as a powerful predictor for both short-term and long-term mortality in ED admissions.

Missing Medical Data in Neurological Emergency Care Compromise Patient Safety and Healthcare Resources

Background: Acute care of patients in the emergency department (ED) can be very challenging when patients attend EDs without their important medical information. This is especially problematic for multimorbid patients under polypharmacy. The aim of this study was to assess systematically the frequency and clinical relevance of incomplete medical data upon ED admission. Methods: The study was conducted in the neurological ED of a German tertiary hospital. The availability and accuracy of medical data of all neurological patients in the ED were assessed upon arrival. Treating ED physicians were asked about the acute care of the patients to clarify whether missing data resulted in delays or complications in the emergency treatment. Additionally, doctors responsible for the inpatient care of patients who were admitted to a ward via the ED were questioned about the course of the inpatient stay to monitor how initially missing data might have influenced the hospital stay. Results: Medical data of 27% of the 272 included patients were missing or incomplete upon admission in the ED. The ED physicians had to make additional phone calls to gather information in 57% of these cases (vs. 22% in patients with complete data, p < 0.0001). Delays between 5 and 240 min were documented due to initially missing data. Unnecessary diagnostic procedures (e.g., lumbar puncture) were performed in 5% of these patients, thus compromising patient safety. Even the inpatient stay was complicated by initially missing data, as doctors still had to spend time (between 10 and 180 min) to gain relevant information. Retrospectively, 5% of hospitalizations could have been avoided if all medical information had been available upon ED admission. Conclusions: Missing medical data caused complications and delays in acute as well as inpatient care of patients admitted to the neurological ED. This compromised patient safety and led to a waste of medical resources and valuable time of the responsible medical team. Therefore, a comprehensive, digital data management system is urgently needed to improve patient safety and facilitate efficient patient care in the ED and beyond.

Clinical Frailty Scale score is a predictor of short-, mid- and long-term mortality in critically ill older adults (≥ 70years) admitted to the emergency department: an observational study.

The estimated prognos of a patient might influence the expected benefit/risk ratio of different interventions. The main purpose of this study was to investigate the Clinical Frailty Scale (CFS) score as an independent predictor of short-, mid- and long-term mortality in critically ill older adults (aged ≥ 70) admitted to the emergency department (ED). This is a retrospective, single-center, observational study, involving critically ill older adults, recruited consecutively in an ED. All patients were followed for 6.5-7.5years. The effect of CFS score on mortality was adjusted for the following confounders: age, sex, Charlson's Comorbidity Index, individual comorbidities and vital parameters. All patients (n = 402) were included in the short- and mid-term analyses, while patients discharged alive (n = 302) were included in the long-term analysis. Short-term mortality was analysed with logistic regression, mid- and long-term mortality with log rank test and Cox proportional hazard models. The CFS was treated as a continuous variable in the primary analyses, and as a categorical variable in completing analyses. There was a significant association between mortality at 30days after ED admission and CFS score, adjusted OR (95% CI) 2.07 (1.64-2.62), p < 0.0001. There was a significant association between mortality at one year after ED admission and CFS score, adjusted HR (95% CI) 1.75 (1.53-2.01), p < 0.0001. There was a significant association between mortality 6.5-7.5years after discharge and CFS score, adjusted HR (95% CI) 1.66 (1.46-1.89), p < 0.0001. Adjusted HRs are also reported for long-term mortality, when the CFS was treated as a categorical variable: CFS-score 5 versus 1-4: HR (95% CI) 1.98 (1.27-3.08); 6 versus 1-4: HR (95% CI) 3.60 (2.39-5.44); 7 versus 1-4: HR (95% CI) 3.95 (2.38-6.55); 8-9 versus 1-4: HR (95% CI) 20.08 (9.30-43.38). The completing analyses for short- and mid-term mortality indicated a similar risk-predictive value of the CFS. Clinical frailty scale score was independently associated with all-cause short-, mid- and long-term mortality. A nearly doubled risk of death was observed in frail patients. This information is clinically relevant, since individualised treatment and care planning for older adults should consider risk of death in different time perspectives.

The evaluation and cost-benefit analysis of a nonemergency private transportation program for low-income adults in a rural setting

BackgroundAccess to transportation can improve the health of communities. Since 2015, Project TRIP (Transporting Residents with Innovative Practices) has offered free nonemergency privately operated individualized transportation for low-income residents in rural eastern North Carolina. We sought to evaluate the impact of Project TRIP on health outcome and healthcare utilization measures and to conduct an economic evaluation of its cost benefit. MethodsKey health outcome and healthcare utilization variables were compared across 101 Project TRIP users before and after TRIP participation via data obtained from electronic health records from 2017 to 2021. The cost-benefit analysis included a comparison of the costs of operating Project TRIP as compared to the savings of fewer hospital and emergency department admissions. Pre and post TRIP comparisons were analyzed on the following: A1C scores, no show/missed appointments, body weight, body mass index, and number of emergency room and hospital admissions. ResultsOver half (58%) of Project TRIP users were female with a mean age of 54. Most riders were Black (69%), either received Medicaid (32%) or Medicare (17%) or were uninsured (22%). All variables showed a decrease (improvement) post TRIP utilization. The average A1C level decreased by 0.52 post TRIP utilization (statistically significant at 10% level). The number of hospital admissions also decreased (statistically significant at 1% level) for TRIP users. Other key measures also improved for TRIP users but not at statistically significant levels. The estimated net savings of Project TRIP in hospital and emergency room visits alone after deducting operating costs in the past 5 years was $720,544. ConclusionsThis study found that access to a non-emergency medical transportation program was cost-effective in reducing emergency room and hospital expenditures. Project TRIP users demonstrated an improvement in health outcomes post TRIP utilization. Expanding model rural transit programs and policies are needed.

Validation of Serum Tetrahydrocannabinol Assay and Its Clinical Application

Abstract Background The widespread use of marijuana across all age groups in the United States, driven by the legalization of recreational and medical cannabis, has underscored the need for accurate measurement of tetrahydrocannabinol (THC) and its metabolites in blood specimens. This requirement spans both legal and medical contexts, prompting the development of precise diagnostic tools. Methods We developed a high-throughput liquid chromatography-tandem mass spectrometry (LC-MS/MS) assay, utilizing a straightforward protein precipitation extraction method to quantify THC and its metabolites: THC, 11-OH-THC, THC-COOH, cannabidiol (CBD), and THC-COOH glucuronide. The assay was rigorously validated for precision, linearity, stability, carryover, and quality assurance to ensure its reliability and accuracy for clinical use. Results Precision studies demonstrated a coefficient of variation ranging from 1.7% to 4.9%. The analytical measurement range was established at 1-100 ng/mL for THC, CBD, and 11-OH-THC, 5-500 ng/mL for THC-COOH, and 10-1000 ng/mL for THC glucuronide, accommodating the broad spectrum of THC/metabolite concentrations observed in our patient cohort. Carryover from all analytes were negligible (&amp;lt;0.01%). Sample stability was confirmed for up to two weeks at -20°C and through three freeze-thaw cycles. Despite a median THC concentration of 5 ng/mL in a limited sample size (N=44), high concentrations of THC and its metabolites correlated with trauma-related incidents and a history of polysubstance abuse in emergency department admissions. Conclusions The LC-MS/MS assay offers superior sensitivity and specificity compared to traditional immunoassays for cannabinoid detection, effectively distinguishing between THC and its metabolites. Its implementation will offer an advanced approach for analyzing the prevalence and clinical implications of THC and metabolite levels in various patient populations, including trauma, pediatric patients, and organ transplant candidates.

EVALUATION OF AN ALLIED HEALTH PROFESSIONAL PREHABILITATION SERVICE IN NEURO-ONCOLOGY

Abstract AIMS The evidence base for the benefits of prehabilitation in the cancer population is increasing. So far, the focus has been on colorectal, breast and lung cancer sites with no current research into the effects in patients with primary or secondary brain tumours. It is hypothesised that patients with brain cancer would benefit from prehabilitation as current evidence demonstrates the positive effects of exercise, cognitive and language rehabilitation in this patient group. The aim of this project is to demonstrate the feasibility and impact of a two-year prehabilitation pilot service. The service comprises physiotherapy, occupational therapy and speech and language therapy for patients with brain cancer in the pre-operative phase. METHOD A pilot study was carried out at a tertiary UK neurosurgery centre. Patients over the age of 17 with a diagnosis of primary or secondary brain tumour awaiting surgery were eligible for the prehabilitation service. The impact was measured through Length of Stay, Quality of Life (EQ-5D-5L), emergency department attendances and admission rates 90 days post-surgery. RESULTS 128 patients were seen in prehabilitation from 01/11/2022 to 31/01/2024. Length of hospital stay post-surgery was lower for the prehabilitation group (0.9 days with 95% confidence interval) compared to control group. A mean improvement in the EQ-5D-5L Index from pre-operative assessment to post-surgery follow up was demonstrated CONCLUSION This study reveals data demonstrating the benefits of prehabilitaiton for patients with brain tumours. Prehabilitation for this patient group appears to improve clinical outcomes alongside patients’ quality of life. Future directions for the service will focus on expanding the provision to patients with spinal and benign tumours, where this is also a possibility of therapeutic need in the pre and post-operative phase.

Prehospital undertriage of older injured patients in western Switzerland: an observational cross-sectional study

BackgroundThe ageing of the population is leading to an increase in the number of traumatic injuries and represents a major challenge for the future. Falls represent the leading cause of Emergency department admission in older people, with injuries ranging from minor to severe multiple injuries. Older injured patients are more likely to be undertriaged than younger patients. The aim of this study was to investigate the extent of undertriage in older patients with particular emphasis on access to trauma centres and resuscitation rooms.MethodsRetrospective observational cross-sectional study based on data prospectively collected from prehospital electronic records including all patients ≥ 18 years for whom an ambulance or helicopter was dispatched between 1 January 2018 and 31 April 2023 due to a trauma. The primary outcome, admission to the resuscitation room of the regional trauma centre with trauma team activation, was assessed by age. Multivariate logistic regression was used to control for known confounders and to test for plausible effect modifiers.ResultsEmergency Medical Services treated 37,906 injured patients. Older patients ≥ 75 years represented 17,719 patients (47%). Admission to trauma centre with trauma team activation was lower in older patients, N = 121 (1%) compared to N = 599 (5%) in younger patients, p < 0.001; adjusted odds ratio: 0.33 (0.24–0.45); p < 0.001. Undertriage increased by twofold with age ≥ 75; OR: 1.81 (1.04–3.15); p value < 0.001. Undertriaged patients were older, more likely to be female, to have low energy trauma and to be located farther from the regional trauma centre.ConclusionOlder injured patients were at increased risk of undertriage and non-trauma team activation admission, especially if they were older, female, had head injury without altered consciousness and greater distance to regional trauma centre.

Early Mortality Stratification with Serum Albumin and the Sequential Organ Failure Assessment Score at Emergency Department Admission in Septic Shock Patients.

Background: Early risk stratification is crucial due to septic patients' heterogeneity. Serum albumin level may reflect the severity of sepsis and host status. This study aimed to evaluate the prognostic ability of the initial sequential organ failure assessment (SOFA) score alone and combined with serum albumin levels for predicting 28-day mortality in patients with septic shock. Methods: We conducted an observational study using a prospective, multicenter registry of septic shock patients between October 2015 and May 2022 from 12 emergency departments in the Korean Shock Society and the results were validated by examining those from the septic shock cohort in Asan Medical Center. The primary outcome was 28-day mortality. The area under the receiver operating characteristic (ROC) curve was used to compare the predictive values of SOFA score alone and SOFA score combined with serum albumin level. Results: Among 5805 septic shock patients, 1529 (26.3%) died within 28 days. Mortality increased stepwise with decreasing serum albumin levels (13.6% in albumin ≥3.5, 20.7% in 3.5-3.0, 29.7% in 3.0-2.5, 44.0% in 2.5-2.0, 56.4% in <2.0). The albumin SOFA score was calculated by adding the initial SOFA score to the 4 points assigned for albumin levels. ROC analysis for predicting 28-day mortality showed that the area under the curve for the albumin SOFA score was 0.71 (95% CI 0.70-0.73), which was significantly higher than that of the initial SOFA score alone (0.68, 95% CI: 0.67-0.69). Conclusions: The combination of the initial SOFA score with albumin can improve prognostic accuracy for patients with septic shock, suggesting the albumin SOFA score may be used as an early mortality stratification tool.

Evaluating the Prognostic Significance of Magnesium Levels in Emergency Department Admissions: The Largest Retrospective Cohort Study

Evaluating the Prognostic Significance of Magnesium Levels in Emergency Department Admissions: The Largest Retrospective Cohort Study

Risk factors for poor outcome in adult patients with respiratory syncytial virus infection evaluated at the emergency department.

Respiratory syncytial virus-associated acute respiratory infection (RSV-ARI) constitutes an emerging cause of morbidity in the adult population. The present retrospective study was aimed at identifying factors predictive of poor outcome that may be assessed at the first evaluation in the Emergency Department (ED). We included 275 adult patients with laboratory-confirmed RSV-ARI that required hospital admission from the ED between January 2018 and December 2019. Poor outcome (composite of progression to high-flow oxygen therapy, non-invasive or invasive mechanical ventilation, or intensive care unit admission, and/or 30-day all-cause mortality) occurred in 31 patients (11.2%). Immunosuppression was present in 59 patients (21.5%). Although bacterial co-infection was rare, antibiotic therapy was commonly initiated. Ribavirin was administered in 10 patients. Cognitive impairment (odds ratio [OR]: 2.452; 95% confidence interval [CI]: 0.990-6.072), concurrent oral anticoagulation (OR: 3.099; 95 CI: 1.287-7.464) and a pulse oximetry oxygen saturation to fraction of inspired oxygen ratio (SpO2/FiO2) ratio <382 at ED admission (OR: 3.013; 95 CI: 1.306-6.950) were independent risk factors for poor outcome, whereas influenza vaccination in the current season was protective (OR: 0.324; 95% CI: 0.138-0.763). Various factors easily available at the ED are useful for early risk stratification in adult patients with RSV-ARI.

48 Geriatrics Consults Can Avert Admissions in an Academic Emergency Department

48 Geriatrics Consults Can Avert Admissions in an Academic Emergency Department

400 Comparison of Characteristics of Pediatric Behavioral Health Emergency Department Visits, Transfers, and Admissions in California Before and During the COVID-19 Pandemic (2017-2021)

400 Comparison of Characteristics of Pediatric Behavioral Health Emergency Department Visits, Transfers, and Admissions in California Before and During the COVID-19 Pandemic (2017-2021)

Risk Factors Analysis and Prediction Model Establishment for Carbapenem-Resistant Enterobacteriaceae Colonization: A Retrospective Cohort Study.

The objective of this study was to identify the risk factors associated with Carbapenem-resistant Enterobacteriaceae (CRE) colonization in intensive care unit (ICU) patients and to develop a predictive risk model for CRE colonization. In this study, 121 ICU patients from Fujian Provincial Hospital were enrolled between January 2021 and July 2022. Based on bacterial culture results from rectal and throat swabs, patients were categorized into two groups: CRE-colonized (n = 18) and non-CRE-colonized (n = 103). To address class imbalance, Synthetic Minority Over-sampling Technique (SMOTE) was applied. Statistical analyses including T-tests, Chi-square tests, and Mann-Whitney U-tests were employed to compare differences between the groups. Feature selection was performed using Lasso regression and Random Forest algorithms. A Logistic regression model was then developed to predict CRE colonization risk, and the results were presented in a nomogram. After applying SMOTE, the dataset included 198 CRE-colonized patients and 180 non-CRE-colonized patients, ensuring balanced groups. The two groups were comparable in most clinical characteristics except for diabetes, previous emergency department admission, and abdominal infection. Eight independent risk factors for CRE colonization were identified through Random Forest, Lasso regression, and Logistic regression, including Acute Physiology and Chronic Health Evaluation (APACHE) II score > 16, length of hospital stay > 31 days, female gender, previous carbapenem antibiotic exposure, skin infection, multi-site infection, immunosuppressant exposure, and tracheal intubation. The risk prediction model for CRE colonization demonstrated high accuracy (87.83%), recall rate (89.9%), precision (85.6%), and an AUC value of 0.877. Patients were categorized into low-risk (0-90 points), medium-risk (91-160 points), and high-risk (161-381 points) groups, with corresponding CRE colonization rates of 1.82%, 7.14%, and 58.33%, respectively. This study identified independent risk factors for CRE colonization and developed a predictive model for assessing the risk of CRE colonization.