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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., (© 2023 S. Karger AG, Basel.)

Text: The Surviving Sepsis Campaign (SSC) published a 2021 update of its 2016 recommendations. The update was awaited with great anticipation the world over, especially by emergency physicians. Under the framework of the CIMU 2022 (33rd World Emergency Medicine Conference) in Guadalajara, Mexico in March, emergency physiciansreviewed and analyzed the 2021 SSC guidelines from our specialty's point of view. In this article, the expert reviewers present their consensus on certain key points of most interest in emergency settings at this time. The main aims of the review are to present constructive comments on 10 key points and/or recommendations in the SSC 2021 update and to offer emergency physicians' experience- and evidence-based proposals. Secondarily, the review's recommendations are a starting point for guidelines to detect severe sepsis in emergency department patients and prevent progression, which is ultimate goal of what has become known as the Guadalajara Declaration on sepsis.

Objectives: To describe the sociodemographic characteristics of and the health care resources used to treat patients aged 65 years or older who come to hospital emergency departments (EDs) in Spain, according to age groups., Material and Methods: We studied the phase-1 data for the EDEN cohort (Emergency Department and Elder Needs). Forty Spanish EDs collected data on all patients aged 65 years or older who were treated on the first 7 days in April 2019. We registered information on 6 sociodemographic and 5 function variables for all patients. For health resource use we used 6 diagnostic, 13 therapeutic, and 5 physical structural variables, for a total of 24 variables. Differences were analyzed according to age in blocks of 5 years., Results: A total of 18 374 patients with a median age of 78 years were included; 55% were women. Twenty-seven percent arrived by ambulance, 71% had not previously been seen by a physician, and 13% lived alone without assistance. Ten percent had a high level of functional dependence, and 14% had serious comorbidity. Resources used most often were blood analysis (in 60%) and radiology (59%), analgesics (25%), intravenous fluids (21%), antibiotics (14%), oxygen (13%), and bronchodilators (11%). Twenty-six percent were kept under observation in the ED, 26% were admitted to wards, and 2% were admitted to intensive care units (ICUs). The median stay in the ED was 3.5 hours, and the median hospital stay was 7 days. Sociodemographic characteristics changed according to age. Functional dependence worsened with age, and resource requirements increased in general. However, benzodiazepine use was unaffected, while the use of nonsteroidal anti-inflammatory drugs and ICU admission decreased., Conclusion: The functional dependence of older patients coming to EDs increases with age and is associated with a high level of health care resource use, which also increases with age. Planners should take into consideration the characteristics of the older patients and the proportion of the caseload they represent when arranging physical spaces and designing processes for a specific ED.

Objectives: To determine the validity of 2 triage systems: the 3M Triage Assistance System (3M-TAS) and the combined Spanish Triage System and Andorran Triage Model (SET-MAT) for predicting hospitalization and use of emergency resources; and to estimate the level of agreement between them., Material and Methods: Prospective observational study of consecutive cohorts classified with the studied triage systems in the emergency department (ED) of a secondary-level hospital between March 24 and April 30, 2014. Patients were classified blindly and simultaneously between 9 AM and 10 PM by a clinical nurse using the SET-MAT program and a researcher nurse using the 3M-TAS software. We collected patients' demographic details and assigned triage level, laboratory and imaging tests ordered, specialist consultations requested in the ED, length of stay until discharge from the department, and destination on discharge. Outcome variables were hospitalization and use of at least 1 resource in the ED., Results: A total of 3379 emergencies were included. The conventionally weighted κ statistic for agreement between the 2 triage systems was 0.26, but the triage-weighted κ was 0.17. The 3M-TAS software was better able to predict hospitalization than the SET-MAT (P<.001); however, the 2 systems, predictions of resource usage were similar (P=.111)., Conclusion: Agreement between the 3M-TAS and SET-MAT triage systems was poor, although they predicted similar use of resources in the ED. The 3M-TAS was better able to predict hospital admission than the SET-MAT.

Objectives: To determine the effect on medication-related problems (MRPs) of a process of medication reconciliation carried out by a specialized pharmacist for patients aged 65 years or older admitted to an emergency department short-stay unit (SSU)., Material and Methods: Randomized clinical trial of 17 months (February 2013-June 2014) in the SSU of a hospital emergency department. Patients were aged 65 years or older at high risk of MRPs. A total of 130 patients were randomized to a control group (n = 65) or the intervention group (n = 65). The reconciliation process (intervention) was carried out by a specialized pharmacist. The main outcome was the number of MRPs resolved in each group., Results: A total of 3081 medications for 130 patients were reviewed. The patients' mean (SD) age was 79 (7.6) years and 66 (50.8%) were men. Discrepancies affecting 1901 medications (61.7%) were detected. The distributions of age, sex, and number of medication discrepancies were similar in the control and intervention groups. A total of 213 MRPs were detected; 110 (51.6%) were in the control group and 103 (48.4%) in the intervention group (P = .380). Through the pharmacist's reconciliation, significantly more of the MRPs were resolved in the intervention group (83.5%) than in the control group (26.4%) (P < .001)., Conclusion: Medication reconciliation by a specialized pharmacist in the emergency department reduces MRPs for at-risk elderly patients in a SSU.