Emergency Department Mortality Research Articles

Triage implementation in Pakistan: a case of broken healthcare system

Madam, The death toll due to road traffic accidents (RTA) in Pakistan reached 28,170 in 2020, according to WHO. This accounts for 1.93% of all deaths in the World. (1) Mortality due to RTA is an ever-increasing concern and its management, especially in Pakistan, is still a bigger concern. The efficient way of dealing with Trauma is by following globally accepted evidence-based “Advanced Trauma Life Support” guidelines. Triage being the first step in ATLS literally means “to sort”. In other words, identifying the greatest good for greatest numbers. The Emergency Department (ED) rule must be to manage patients based on the severity of problems and not on the order of arrival. Death can be prevented in the patients who benefit the most by getting medical attention the earliest. All the patients escorted and rescued from the place of incident should be sorted rapidly and given a colour-coded tag based on urgency. Onsite triage is the most critical life saving measure. A Karachi based study concluded that most paramedics in ambulances had poor knowledge of pre-hospital management and 72.3% thought they could not do triage. (2) Similarly, another study at the emergency department of a tertiary care hospital in Karachi showed concerningly poor knowledge of triage.(3) Only 5 CPSP accredited public hospitals in Pakistan have emergency medicine as a separate field which results in lack of triage implementation as EDs of most hospitals are run by internal medicine professionals and general surgeons. Simply, implementing triage has shown to reduce and ED mortality (by 3.80%), resources’ utilisation, and length of stay.(4) Punjab, the development hub of Pakistan, provides 22 public hospitals, including only 12 fully functional ones, for dealing with trauma patients. DHQs bearing the burden of all trauma patients of districts are level-III trauma centres lacking in specialised surgical care and categorization of paediatric and adult patients. Other independent trauma care facilities are level-IV trauma centres which act as a relay to stabilise the patients before they are transferred to a better facility. A level-I trauma centre alone can increase 25% survival rate of trauma patients, but unfortunately Pakistan does not have a single level-I trauma centre. (5) Therefore, all Rescue staff must be trained regularly for future enactment of triage to alleviate RTA associated mortality along with upgrading of trauma centres to level-I.

Emergency medical service use at a pediatric center in Turkey, during the COVID-19 pandemic period.

This study aimed to evaluate aspects of pediatric patients presenting to a hospital in Turkey via emergency ambulance services, including incidence of visits to the hospital, acuity of illness and most common diagnoses, during the one-year period before and after the onset of the coronavrrus dsease 2019 (COVID-19) pandemic. This was a retrospective and single center analysis of children, transported by Emergency Medical Services to the Emergency Department (ED) of a children's hospital in Turkey, between 10 March 2019 and 11 March 2021. Percentage of high acuity group (68.1% vs.76.9%) during pandemic period was significantly lower than prepandemic period (p < 0.001). On the contrary, the percentage of patients using emergency ambulance service with a low level of acuity increased during the pandemic period compared to the prepandemic period (31.9% vs. 23.1%) (p < 0.001). A significant decrease was observed in the cases of lower respiratory tract infections, febrile status epilepticus and excessive alcohol use during the pandemic period. No significant differences were found hospitalizations requiring PICU and mortality in ED during the pandemic period. During the COVID-19 pandemic; also, a decrease in admissions was observed for those with high-risk conditions. On the contrary, an increase was detected in patients with low acuity levels. Efforts should be made to ensure access to safe and quality emergency care during the pandemic.

Problems in Conducting Multivariate Logistic Regression Analysis

We read with great interest the original article “The Relationship Between Procalcitonin Level and Short Term Mortality in Emergency Department” by Cehreli et al. (1). A high initial level of procalcitonin (PCT) is a sensitive marker of bacterial infection, and the degree of PCT elevation can determine which patients are at greater risk of adverse outcomes. In this study, the authors wanted to analyse whether there was an association between PCT levels and seven-day mortality in patients whom PCT levels were measured in the emergency department. However, we think that there are some serious methodological mistakes.

Impact of extreme weather events on healthcare utilization and mortality in the United States.

Climate change is intensifying extreme weather events. Yet a systematic analysis of post-disaster healthcare utilization and outcomes for severe weather and climate disasters, as tracked by the US government, is lacking. Following exposure to 42 US billion-dollar weather disasters (severe storm, flood, flood/severe storm, tropical cyclone and winter storm) between 2011 and 2016, we used a difference-in-differences (DID) approach to quantify changes in the rates of emergency department (ED) visits, nonelective hospitalizations and mortality between fee-for-service Medicare beneficiaries in affected compared to matched control counties in post-disaster weeks 1, 1-2 and 3-6. Overall, disasters were associated with higher rates of ED utilization in affected counties in post-disaster week 1 (DID of 1.22% (95% CI, 0.20% to 2.25%; P < 0.020)) through week 2. Nonelective hospitalizations were unchanged. Mortality was higher in affected counties in week 1 (DID of 1.40% (95% CI, 0.08% to 2.74%; P = 0.037)) and persisted for 6 weeks. Counties with the greatest loss and damage experienced greater increases in ED and mortality rates compared to all affected counties. Thus, billion-dollar weather disasters are associated with excess ED visits and mortality in Medicare beneficiaries. Tracking these outcomes is important for adaptation that protects patients and communities, health system resilience and policy.

Changes in emergency department visits and mortality during the COVID-19 pandemic: a retrospective analysis of 956 hospitals

BackgroundDuring the COVID-19 pandemic, many non-COVID-19 emergency department (ED) visits were indirectly affected. ED visits and mortality were assessed during different pandemic time periods compared with pre-pandemic.MethodsThe study used data from 41 million Iran Health Insurance Organization members. The outcomes were non-COVID-19 ED visits and associated mortality in 956 hospitals. An analysis of ED visits was conducted both for all-cause and cause-specific conditions: cardiovascular diseases (CVD), mental and substance use disorders, unintentional injuries, and self-harm. In addition, total in-hospital ED mortality was analyzed. A negative binomial regression and a Poisson regression with a log link were used to estimate the incidence rate ratio (IRR) of visits and mortality relative risk (RR).Results1,789,831 ED visits and 12,377 deaths were reported during the study. Pre-pandemic (Sep 2019 to Feb 2020), there were 2,767 non-COVID-19 visits rate per million person-month, which decreased to 1,884 during the first COVID-19 wave with a national lockdown from Feb 20 to Apr 19, 2020 (IRR 0.68, [0.56–0.84]). The non-COVID-19 ED mortality risk was 8.17 per 1,000 visit-month during the pre-pandemic period, rising to 12.80 during the first wave of COVID-19 (RR 1.57, [1.49–165]). Non-COVID-19 ED visit rates decreased during the first pandemic year from Sep 2020 to Feb 2021 (IRR 0.73, [0.63–0.86]), but increased after COVID-19 vaccination two years later from Sep 2021 to Feb 2022 (IRR 1.11, [0.96–0.17]). The total ED mortality risk for non-COVID-19 was significantly higher after the COVID-19 outbreak in the first (RR 1.66, [1.59–1.72]) and second years (RR 1.27, [1.22–1.32]) of the pandemic. The visit incidence rate for mental health and substance use disorders declined from 8.18 per million person-month to 4.57 (IRR 0.53, [0.32 to 0.90]) in the first wave. In the second year, unintentional injury visits increased significantly compared with pre-pandemic (IRR 1.63, [1.30–2.03]). As compared to before the pandemic, there was no significant change in CVD and self-harm visit rates during the pandemic. Cardiac arrest was the leading cause of death in Iran hospitals’ EDs.ConclusionIn the first year of the COVID-19 pandemic, non-COVID-19 hospital ED visits declined and mortality risk increased. Despite two years since the COVID-19 outbreak, non-COVID-19 ED mortality risk remains high.

Short-term prognosis of polypharmacy in elderly patients treated in emergency departments: results from the EDEN project.

Polypharmacy is a growing phenomenon among elderly individuals. However, there is little information about the frequency of polypharmacy among the elderly population treated in emergency departments (EDs) and its prognostic effect. This study aims to determine the prevalence and short-term prognostic effect of polypharmacy in elderly patients treated in EDs. A retrospective analysis of the Emergency Department Elderly in Needs (EDEN) project's cohort was performed. This registry included all elderly patients who attended 52 Spanish EDs for any condition. Mild and severe polypharmacy was defined as the use of 5-9 drugs and ⩾10 drugs, respectively. The assessed outcomes were ED revisits, hospital readmissions, and mortality 30 days after discharge. Crude and adjusted logistic regression analyses, including the patient's comorbidities, were performed. A total of 25,557 patients were evaluated [mean age: 78 (IQR: 71-84) years]; 10,534 (41.2%) and 5678 (22.2%) patients presented with mild and severe polypharmacy, respectively. In the adjusted analysis, mild polypharmacy and severe polypharmacy were associated with an increase in ED revisits [odds ratio (OR) 1.13 (95% confidence interval (CI): 1.04-1.23) and 1.38 (95% CI: 1.24-1.51)] and hospital readmissions [OR 1.18 (95% CI: 1.04-1.35) and 1.36 (95% CI: 1.16-1.60)], respectively, compared to non-polypharmacy. Mild and severe polypharmacy were not associated with increased 30-day mortality [OR 1.05 (95% CI: 0.89-2.26) and OR 0.89 (95% CI: 0.72-1.12)], respectively. Polypharmacy was common among the elderly treated in EDs and associated with increased risks of ED revisits and hospital readmissions ⩽30 days but not with an increased risk of 30-day mortality. Patients with polypharmacy had a higher risk of ED revisits and hospital readmissions ⩽30 days after discharge.

Pulmonary embolism and risk factors of ICU admission: systematic review

In order to forecast mortality and identify adult patients who required admission to an intensive care unit, we compared the efficacy of the most widely used Early Warning Scores. The present review assessed the pulmonary embolism and risk factors of intensive care unit (ICU) admission; systematic review. A search of the literature was conducted in the bibliographic databases PubMed and EMBASE between 2009 and 2022. Each reviewer verified independently that each possibly relevant title and abstract qualified. There were nine studies that were included in the review. NEWS was the best indicator of ICU admission; however, the Modified Early Warning Score performed better in sepsis patients. According to Emergency Department (ED) Mortality, the National Early Warning Score was the most accurate score for predicting mortality in the entire ED population, and the Mortality in Emergency Department Sepsis score was the most accurate measure for patients with sepsis. For all endpoints, National Early Warning Score and Modified Early Warning Score had good outcomes in the ICU and ED. numerous investigations should be conducted utilizing various prognostic scores on ED and ICU patients. Anemia in patients with venous thrombosis was associated with a higher risk of ICU admission and mortality.

Impact of First Wave of COVID-19 Pandemic on Mortality at Emergency Department in Older Patients with COVID and Non-COVID Diagnoses

Introduction: Mortality in emergency departments (EDs) is not well known. This study aimed to assess the impact of the first-wave pandemic on deaths accounted in the ED of older patients with COVID and non-COVID diseases. Methods: We used data from the Emergency Department and Elderly Needs (EDEN) cohort (pre-COVID period) and from the EDEN-COVID cohort (COVID period) that included all patients ≥65 years seen in 52 Spanish EDs from April 1 to 7, 2019, and March 30 to April 5, 2020, respectively. We recorded patient characteristics and final destination at ED. We compared older patients in the pre-COVID period, with older patients with non-COVID and with COVID-19. ED-mortality (before discharge or hospitalization) is the prior outcome and is expressed as an adjusted odds ratio (aOR) with 95% interval confidence. Results: We included 23,338 older patients from the pre-COVID period (aged 78.3 [8.1] years), 6,715 patients with non-COVID conditions (aged 78.9 [8.2] years) and 3,055 with COVID (aged 78.3 [8.3] years) from the COVID period. Compared to the older patients, pre-COVID period, patients with non-COVID and with COVID-19 were more often male, referred by a doctor and by ambulance, with more comorbidity and disability, dementia, nursing home, and more risk according to qSOFA, respectively (p < 0.001). Compared to the pre-COVID period, patients with non-COVID and with COVID-19 were more often to be hospitalized from ED (24.8% vs. 44.3% vs. 79.1%) and were more often to die in ED (0.6% vs. 1.2% vs. 2.2%), respectively (p < 0.001). Compared to the pre-COVID period, aOR for age, sex, comorbidity and disability, ED mortality in elderly patients cared in ED during the COVID period was 2.31 (95% confidence interval [CI]: 1.76–3.06), and 3.75 (95% CI: 2.77–5.07) for patients with COVID. By adding the variable qSOFA to the model, such OR were 1.59 (95% CI: 1.11–2.30) and 2.16 (95% CI: 1.47–3.17), respectively. Conclusions: During the early first pandemic wave of COVID-19, more complex and life-threatening older with COVID and non-COVID diseases were seen compared to the pre-COVID period. In addition, the need for hospitalization and the ED mortality doubled in non-COVID and tripled in COVID diagnosis. This increase in ED mortality is not only explained by the complexity or severity of the elderly patients but also because of the system’s overload.

Pandemic Effect on Healthcare Use and Death in Adults with Epilepsy: A Population Study.

We conducted a population-based study using Ontario health administrative data to describe trends in healthcare utilization and mortality in adults with epilepsy during the first pandemic year (March 2020-March 2021) compared to historical data (2016-2019). We also investigated if changes in outpatient visits and diagnostic testing during the first pandemic year were associated with increased risk for hospitalizations, emergency department (ED) visits, or death. Projected monthly visit rates (per 100,000 people) for outpatient visits, electroencephalography, magnetic resonance, computed tomography, all-cause ED visits, hospitalizations, and mortality were calculated based on historical data by fitting monthly time series autoregressive integrated moving-average models. Two-way interactions were calculated using Quasi-Poisson models. In adults with epilepsy during the first quarter of the pandemic, we demonstrated a reduction in all-cause outpatient visits, diagnostic testing, ED visits and hospitalizations, and a temporary increase in mortality (observed rates of 355.8 vs projected 308.8, 95% CI: 276.3-345.1). By the end of the year, outpatient visits increased (85,535.4 vs 76,620.6, 95% CI: 71,546.9-82,059.4), and most of the diagnostic test rates returned to the projected. The increase in the rate of all-cause mortality during the pandemic, compared to pre-pandemic, was greater during months with the lower frequency of diagnostic tests than months with higher frequency (interaction p-values <.0001). We described the impact of the pandemic on healthcare utilization and mortality in adults with epilepsy during the first year. We demonstrated that access to relevant diagnostic testing is likely important for this population while planning restrictions on non-urgent health services.

Rapid Access Addiction Medicine Clinics for People With Problematic Opioid Use

New approaches are needed to provide care for individuals with problematic opioid use (POU). Rapid access addiction medicine (RAAM) clinics offer a flexible, low-barrier, rapid access care model for this population. To assess the associations of RAAM clinics with emergency department (ED) visits, hospitalizations, and mortality for people with POU. A retrospective cohort study involving a matched control group was performed using health administrative data from Ontario, Canada. Anonymized data from 4 Ontario RAAM clinics (cities of Ottawa, Toronto, Oshawa, and Sudbury) were linked with health administrative data. Analyses were performed on a cohort of individuals who received care at participating RAAM clinics and geographically matched controls who did not receive care at a RAAM clinic. All visits occurred between October 2, 2017, and October 30, 2019, and data analyses were completed in spring 2023. A propensity score-matching approach was used to balance confounding factors between groups, with adjustment for covariates that remained imbalanced after matching. Individuals who initiated care through the RAAM model (including assessment, pharmacotherapy, brief counseling, harm reduction, triage to appropriate level of care, navigation to community services and primary care, and related care) were compared with individuals who did not receive care through the RAAM model. The primary outcome was a composite measure of ED visits for any reason, hospitalization for any reason, and all-cause mortality (all measured up to 30 days after index date). Outcomes up to 90 days after index date, as well as outcomes looking at opioid-related ED visits and hospitalizations, were also assessed. In analyses of the sample of 876 patients formed using propensity score matching, 440 in the RAAM group (mean [SD] age, 36.5 [12.6] years; 276 [62.7%] male) and 436 in the control group (mean [SD] age, 36.8 [13.8] years; 258 [59.2%] male), the pooled odds ratio (OR) for the primary, 30-day composite outcome of all-cause ED visit, hospitalization, or mortality favored the RAAM model (OR, 0.68; 95% CI, 0.50-0.92). Analysis of the same outcome for opioid-related reasons only also favored the RAAM intervention (OR, 0.47; 95% CI, 0.29-0.76). Findings for the individual events of hospitalization, ED visit, and mortality at both 30-day and 90-day follow-up also favored the RAAM model, with comparisons reaching statistical significance in most cases. In this cohort study of individuals with POU, RAAM clinics were associated with reductions in ED visits, hospitalizations, and mortality. These findings provide valuable evidence toward a broadened adoption of the RAAM model in other regions of North America and beyond.

Transitions in health care settings for frequent and infrequent users of emergency departments: a population-based retrospective cohort study

BackgroundEfforts to reduce emergency department (ED) volumes often target frequent users. We examined transitions in care across ED, hospital, and community settings, and in-hospital death, for high system users (HSUs) compared to controls.MethodsPopulation-based databases provided ED visits and hospitalizations in Alberta and Ontario, Canada. The retrospective cohort included the top 10% of all the ED users during 2015/2016 (termed HSUs) and a random sample of controls (4 per each HSU) from the bottom 90% per province. Rates of transitions among ED, hospitalization, community settings, and in-hospital mortality were adjusted for sociodemographic and ED variables in a multistate statistical model.ResultsThere were 2,684,924 patients and 579,230 (21.6%) were HSUs. Patient characteristics associated with shorter community to ED transition times for HSUs included Alberta residence (ratio of hazard ratio [RHR] = 1.11, 95% confidence interval [CI] 1.11,1.12), living in areas in the lower income quintile (RHR = 1.06, 95%CI 1.06,1.06), and Ontario residents without a primary health care provider (RHR = 1.13, 95%CI 1.13,1.14). Once at the ED, characteristics associated with shorter ED to hospital transition times for HSUs included higher acuity (e.g., RHR = 1.70, 95% CI 1.61, 1.81 for emergent), and for many diagnoses including chest pain (RHR = 1.71, 95%CI 1.65,1.76) and gastrointestinal (RHR = 1.66, 95%CI 1.62,1.71). Once admitted to hospital, HSUs did not necessarily have longer stays except for conditions such as chest pain (RHR = 0.90, 95% CI 0.86, 0.95). HSUs had shorter times to death in the ED if they presented for cancer (RHR = 2.51), congestive heart failure (RHR = 1.93), myocardial infarction (RHR = 1.53), and stroke (RHR = 1.84), and shorter times to death in-hospital if they presented with cancer (RHR = 1.29).ConclusionsDifferences between HSUs and controls in predictors of transitions among care settings were identified. Co-morbidities and limitations in access to primary care are associated with more rapid transitions from community to ED and hospital among HSUs. Interventions targeting these challenges may better serve patients across health systems..Trial registrationNot applicable.

Epidemiologic trends of patients who visited nationwide emergency departments: a report from the National Emergency Department Information System (NEDIS) of Korea, 2018-2022.

: This study analyzed trends in emergency department (ED) visits in South Korea using the National Emergency Department Information System (NEDIS) data from 2018 to 2022. : This was a retrospective observational study using data from the NEDIS database from 2018 to 2022. Age- and sex-standardized ED visits per 100,000 population, as well as age- and sex-standardized rates for mortality, admission, and transfer, were calculated. : The standardized ED visits per 100,000 population was approximately 20,000 from 2018 to 2019 and decreased to about 18,000 in 2022. The standardized mortality rate ranged from 1.4% to 1.7%. The admission rate (18.4%-19.4%) and the transfer rates (1.6%-1.8%) were similar during the study period. Approximately 5.5% of patients were triaged as Korean Triage and Acuity Scale score 1 or 2. About 91% of patients visited the ED directly and 21.7% of patients visited the ED with an ambulance. The ED length of stay was less than 6 hours in 90.3% of patients and the ED mortality rate was 0.6%. Acute gastroenteritis was the most common diagnosis. Respiratory virus symptoms, such as fever and sore throat, were also common chief complaints. : ED visits decreased during the 5-year period, while admission, transfer, and death rates remained relatively stable.

Emergency department utilization in elderly patients: a report from the National Emergency Department Information System (NEDIS) of Korea, 2018-2022.

: With general aging of the population, emergency department (ED) utilization by elderly patients is increasing. In this study, we analyzed data on ED visits of patients aged 65 years and older in Korea. : The study is a retrospective analysis of National Emergency Department Information System (NEDIS) data from 2018-2022, focusing on patients aged 65 years and older who visited EDs across Korea. ED utilization data were analyzed using Korean Triage and Acuity Scale (KTAS) scores. The patients were divided into three age groups, and common chief complaints and diagnoses were identified. Age- and sex-standardized ED visits per 100,000 population and outcomes were also analyzed. : During the study period, there was a total of 9,803,065 elderly patient ED visits. The mean patient age was 76.4±7.6 years, and 47.6% were men. The ED mortality rate and in-hospital mortality rate were 1.8% and 4.6%, respectively. The KTAS scores 1-2 group accounted for 11.0% of patients, KTAS score 3 group for 42.5%, KTAS scores 4-5 group for 37.2%, and KTAS score unknown group for 9.4%. When patients were categorized into three age groups, the oldest group exhibited the highest rates of KTAS score 1, severe illness diagnoses, and mortality. The most frequently reported chief complaint was abdominal pain, and the most common diagnosis was light headedness. When analyzing the data by year, the COVID-19 outbreak had a discernible impact on ED visits and clinical outcomes. : Over the past 5 years, ED visits for elderly patients have averaged 26,050 per 100,000 population per year, with a temporary decline during the COVID-19 pandemic and a subsequent upward trend.

Abstract 237: Effect of Hospital Arrival Time on Mortality Rate in Pediatric Patients With Severe Trauma: A Nationwide Database Study in Japan

Introduction: Previous studies have reported that hospital arrival during nighttime was associated with worse outcomes in critically ill pediatric patients. However, this “nighttime effect” in pediatric patients with severe trauma has not yet been well-investigated. Hypothesis: We hypothesized that hospital arrival during nighttime is associated with higher mortality rates in pediatric patients with severe trauma. Methods: We conducted a nationwide retrospective cohort study in Japan from 2004 to 2019 using the Japan Trauma Data Bank, a nationwide trauma registry. Patients who were aged &lt;18 years and had an Injury Severity Score (ISS) &gt;15 were included. Patients with cardiac arrest on hospital arrival were excluded. Hospital arrival was categorized into daytime (from 8:00 am to 4:59 pm) arrival and nighttime (from 5:00 pm to 7:59 am) arrival. The main outcome was the in-hospital mortality rate, and the secondary outcome was the emergency department (ED) mortality rate. As a main analysis, an inverse probability of treatment weighting (IPTW) analysis was performed using propensity scores to adjust for confounders such as age, sex, type of injury, transport time, vital signs, and ISS. In addition, we conducted 1) a subgroup analysis in patients who underwent operation (OP) or interventional radiology (IR) during hospitalization and 2) sensitivity analysis using a multilevel mixed-effects logistic regression model. Results: In total, 6,574 pediatric patients with severe trauma were included, and the overall in-hospital mortality rate was 6.5%. The IPTW analysis showed that compared with daytime arrivals, nighttime arrivals were associated with significantly higher in-hospital mortality (odds ratio [OR], 1.41; 95% confidence interval [CI], 1.09-1.83; P = 0.010) and ED mortality rates (OR, 2.42; 95% CI, 1.07-5.45; P = 0.034) in the entire cohort but not in the subgroup who underwent OP or IR during hospitalization. The sensitivity analysis consistently supported the results of the main analysis. Conclusions: Hospital arrival during nighttime was associated with a higher in-hospital mortality rate in pediatric patients with severe trauma. Further investigations are needed to elucidate the reasons for this “nighttime effect.”

Abstract 16083: How Will the Use of New Heart Failure Treatments Impact US Health System Reimbursement Under Alternative Payment Models: Measuring the Impact of Sotagliflozin Use Among Patients Hospitalized for Heart Failure

Background: In the SOLOIST-WHF clinical trial, sotagliflozin lowered rates of readmission and emergency department (ED) visits among patients hospitalized for worsening heart failure (HF), but its impact on health systems’ finances is unclear. Research Question: What is the economic impact of the adoption of sotagliflozin on health systems after incorporating reimbursement bonuses within alternative payment models (APM)? Goal: To quantify the financial impact on health systems of adopting sotagliflozin relative to standard of care (SoC) for treating patients with HF as in SOLOIST-WHF. Methods: This study created a decision tree model and estimated the clinical impact of sotagliflozin use relative to SoC from the SOLOIST-WHF trial. The model first assessed the impact of sotagliflozin on re-hospitalization, ED visit rates and mortality. Next, these clinical outcomes were translated into impacts on a health system’s finances relative to SoC within a one-year time frame under traditional fee-for-services (FFS) and three APMs: hospital readmissions reduction program (HRRP), Bundled Payments for Care Improvement (BPCI), and Accountable Care Organization (ACO). Results: An average community hospital (6,109 admissions annually) would have 83 patients per year with an index HF hospitalization. Sotagliflozin reduced the probability of re-hospitalization, ED visits, and deaths by 29.3%, 38.5%, and 17.8%, respectively vs. SoC. For hospitals not experiencing capacity constraint, sotagliflozin adoption increased financial returns by $9,365 per person (pp) ($781,340 per health system) under HRRP, $1,200 pp. ($100,106 per health system) for BPCI, and $1,078 pp. ($89,910 per health system) for ACO. (Figure 1) Conclusion: Sotagliflozin adoption decreased hospitalizations, ED visits, and deaths, which—under various APMs—led to a net positive financial impact on health systems after accounting for APM bonus payments. Sponsorship: Lexicon Pharmaceuticals, Inc.

Systematic review: What is the impact of triage implementation on clinical outcomes and process measures in low- and middle-income country emergency departments?

Triage is widely regarded as an essential function of emergency care (EC) systems, especially in resource-limited settings. Through a systematic search and review of the literature, we investigated the effect of triage implementation on clinical outcomes and process measures in low- and middle-income country (LMIC) emergency departments (EDs). Structured searches were conducted using MEDLINE, CENTRAL, EMBASE, CINAHL, and Global Health. Eligible articles identified through screening and full-text review underwent risk-of-bias assessment using the Newcastle-Ottawa Scale. The quality of evidence for each effect measure was summarized using GRADE. Among 10,394 articles identified through the search strategy, 58 underwent full-text review and 16 were included in the final synthesis. All utilized pre-/postintervention methods and a majority were single center. Effect measures included mortality, waiting time, length of stay, admission rate, and patient satisfaction. Of these, ED mortality and time to clinician assessment were evaluated most frequently. The majority of studies using these outcomes identified a positive effect, namely a reduction in deaths and waiting time among patients presenting for EC. The quality of the evidence was moderate for these measures but low or very low for all other outcomes and process indicators. There is moderate quality of evidence supporting an association between the introduction of triage and a reduction in deaths and waiting time. Although the available data support the value of triage in LMIC EDs, the risk of confounding and publication bias is significant. Future studies will benefit from more rigorous research methods.

Impact of junior doctor strikes on patient flow in the emergency department: a cross-sectional analysis.

Healthcare worker strikes are a global phenomenon. Mortality and morbidity seem to be unaffected by doctor strikes, but there is little evidence on the impact on emergency department (ED) flow and patient characteristics. In March and April 2023, two consecutive UK junior doctor strikes occurred. This study investigated the impact of junior doctor strikes on ED patient flow. Additionally, variation in patient presentations was compared between non-strike and strike days. This cross-sectional study was conducted at King's College Hospital ED, a university hospital in London. All ED attendances during the 72- and 96-hour strike actions were compared with the corresponding non-strike days of the previous week. National key performance indicators (KPIs) were analysed and compared between non-strike and strike days. Patients' demographics, acuity and diagnoses were compared. Outcome measures included number of 4-hour breaches, number of patients admitted or discharged and ED mortality. Staff seniority was categorised into levels for analysis. There was increased ED patient flow during strike days with a significantly shorter total time in department in March [240 min (IQR 155-469) vs. 286 min (IQR 198.5-523.5), P < 0.001] and in April [222.5 min (IQR 147-351) vs. 251.5 min (IQR 174-443), P < 0.001]. Time to first clinician, treatment, and decision to admit were all shorter during both strike actions. Number of attendances, acuity, diagnoses, admission, discharge, and mortality rates were similar during strike and non-strike days. Staffing numbers were lower or equivalent on strike days but level of seniority was higher ( P < 0.001). The improved KPIs and increased patient flow during strike days, while multifactorial, seem largely attributed to the higher number of senior staff. Patient presentations and outcomes were unaffected by junior doctor strike action.

Mortality Prediction in Emergency Department Using Machine Learning Models

Background: Diagnosing patient deterioration and preventing unexpected deaths in the emergency department is a complex task that relies on the expertise and comprehensive understanding of emergency physicians concerning extensive clinical data. Objectives: Our study aimed to predict emergency department mortality and compare different models. Methods: During a one-month period, demographic information and records were collected from 1,000 patients admitted to the emergency department of a selected hospital in Tehran. We rigorously followed The Cross Industry Standard Process for data mining and methodically progressed through its sequential steps. We employed Cat Boost and Random Forest models for prediction purposes. To prevent overfitting, Random Forest feature selection was employed. Expert judgment was utilized to eliminate features with an importance score below 0.0095. To achieve a more thorough and dependable assessment, we implemented a K-fold cross-validation method with a value of 5. Results: The Cat Boost model outperformed Random Forest significantly, showcasing an impressive mean accuracy of 0.94 (standard deviation: 0.03). Ejection fraction, urea (body waste materials), and diabetes had the greatest impact on prediction. Conclusions: This study sheds light on the exceptional accuracy and efficiency of machine learning in predicting emergency department mortality, surpassing the performance of traditional models. Implementing such models can result in significant improvements in early diagnosis and intervention. This, in turn, allows for optimal resource allocation in the emergency department, preventing the excessive consumption of resources and ultimately saving lives while enhancing patient outcomes.

The Role of Open Cardiopulmonary Resuscitation in Chest Trauma Patients with No Sign of Life: A National Trauma Data Bank Study.

The effectiveness of open cardiopulmonary resuscitation (OCPR) remains controversial for trauma patients. In this current study, the role of OCPR in managing chest trauma patients is evaluated using nationwide real-world data. From 2014 to 2015, the National Trauma Data Bank was retrospectively queried for chest trauma patients with out-of-hospital cardiac arrest status. The emergency department (ED) and overall survival of patients without signs of life were analyzed. Multivariate logistic regression (MLR) analysis was performed to evaluate independent factors of mortality for the target group. Furthermore, a subset group of patients who survived after the ED were studied, focusing on the duration of survival after leaving the ED. A total of 911 patients were enrolled in this study (OCPR vs. non-OCPR: 161 patients vs. 750 patients). The average overall mortality rate was 98.6% (N = 898). Among penetrating chest trauma patients, non-survivors in the ED had significantly higher proportions of gunshot injuries (83.9% vs. 69.7%, p = 0.001) and lower proportions of OCPR (20.7% vs. 44.4%, p < 0.001). MLR analysis showed that gunshot injuries and non-OCPR were significantly related to ED mortality in penetrating trauma patients without signs of life (odds ratio = 2.039, p = 0.006 and odds ratio = 2.900, p < 0.001, respectively). However, the overall survival rate of patients after ED survival (n = 99) was 9.9%, and only 21.2% (n = 21) of them survived more than 1day after leaving the ED. OCPR could be considered in situations where appropriate indications exist. The survival benefit was observed in critically ill patients with penetrating chest trauma who show no signs of life. By enhancing ED survival, OCPR may also contribute to overall survival improvement.

Impact of Frailty on Emergency Department Encounters for Cardiovascular Disease: A Retrospective Cohort Study

Data are limited on whether the causes of emergency department (ED) encounters for cardiovascular diseases (CVDs) and associated clinical outcomes vary by frailty status. Using the United States Nationwide ED Sample, selected CVD encounters (acute myocardial infarction [AMI], ischemic stroke, atrial fibrillation [AF], heart failure [HF], pulmonary embolism, cardiac arrest, and hemorrhagic stroke) were stratified by hospital frailty risk score (HFRS). Logistic regression was used to determine the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) of ED mortality among the different frailty groups. A total of 8,577,028 selected CVD ED encounters were included. A total of 5,120,843 (59.7%) had a low HFRS (<5), 3,041,699 (35.5%) had an intermediate HFRS (5 to 15), and 414,485 (4.8%) had a high HFRS (>15). Ischemic stroke was the most common reason for the encounter in the high HFRS group (66.9%), followed by hemorrhagic stroke (11.7%) and AMI (7.2%). For the low HFRS group, AF was the most common reason for the encounter (30.2%), followed by AMI (23.6%) and HF (16.8%). Compared with the low-risk group, high-risk patients had a decreased ED mortality and an increased overall mortality across most CVD encounters (p <0.001). The strongest association with overall mortality was observed among patients with a high HFRS admitted for AF (aOR 27.14, 95% CI 25.03 to 29.43) and HF (aOR 13.71, 95% CI 12.95 to 14.51) compared with their low-risk counterparts. In conclusion, patients presenting to the ED with acute CVD have a significant frailty burden, with different patterns of CVD according to frailty status. Frailty is associated with an increased all-cause mortality in patients for most CVD encounters.