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Purpose: The efficacy of the 1-h bundle for emergency department (ED) patients with suspected sepsis, which includes lactate measurement, blood culture, broad-spectrum antibiotics administration, administration of 30 mL/kg crystalloid fluid for hypotension or lactate ≥ 4 mmol/L, remains controversial., Methods: We carried out a pragmatic stepped-wedge cluster-randomized trial in 23 EDs in France and Spain. Adult patients with Sepsis-3 criteria or a quick sequential organ failure assessment (SOFA) score ≥ 2 or a lactate > 2 mmol/L were eligible. The intervention was the implementation of the 1-h sepsis bundle. The primary outcome was in-hospital mortality truncated at 28 days. Secondary outcomes included volume of fluid resuscitation at 24 h, acute heart failure at 24 h, SOFA score at 72 h, intensive care unit (ICU) length of stay, number of days on mechanical ventilation or renal replacement therapy, vasopressor free days, unnecessary antibiotic administration, and mortality at 28 days. 1148 patients were planned to be analysed; the study period ended after 873 patients were included., Results: 872 patients (mean age 66, 42% female) were analyzed: 387 (44.4%) in the intervention group and 485 (55.6%) in the control group. Median SOFA score was 3 [1-5]. Median time to antibiotic administration was 40 min in the intervention group vs 113 min in the control group (difference - 73 [95% confidence interval (CI) - 93 to - 53]). There was a significantly higher rate, volume, and shorter time to fluid resuscitation within 3 h in the intervention group. There were 47 (12.1%) in-hospital deaths in the intervention group compared to 61 (12.6%) in the control group (difference in percentage - 0.4 [95% CI - 5.1 to 4.2], adjusted relative risk (aRR) 0.81 [95% CI 0.48 to 1.39]). There were no differences between groups for other secondary endpoints., Conclusions: Among patients with suspected sepsis in the ED, the implementation of the 1-h sepsis bundle was not associated with significant difference in in-hospital mortality. However, this study may be underpowered to report a statistically significant difference between groups., (© 2024. Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: The individual factors associated to Frequent Users (FUs) in Emergency Departments are well known. However, the characteristics of their geographical distribution and how territorial specificities are associated and intertwined with ED use are limited. Investigating healthcare use and territorial factors would help targeting local health policies. We aim at describing the geographical distribution of ED's FUs within the Paris region., Methods: We performed a retrospective analysis of all ED visits in the Paris region in 2015. Data were collected from the universal health insurance's claims database. Frequent Users (FUs) were defined as having visited ≥3 times any ED of the region over the period. We assessed the FUs rate in each geographical unit (GU) and assessed correlations between FUs rate and socio-demographics and economic characteristics of GUs. We also performed a multidimensional analysis and a principal component analysis to identify a typology of territories to describe and target the FUs phenomenon., Results: FUs accounted for 278,687 (11.7%) of the 2,382,802 patients who visited the ED, living in 232 GUs. In the region, median FUs rate in each GU was 11.0% [interquartile range: 9.5-12.5]. High FUs rate was correlated to the territorial markers of social deprivation. Three different categories of GU were identified with different profiles of healthcare providers densities., Conclusion: FUs rate varies between territories and is correlated to territorial markers of social deprivation. Targeted public policies should focus on disadvantaged territories., (© 2021. The Author(s).)

Background: Rapid identification of patients with high suspicion of COVID-19 will become a challenge with the co-circulation of multiple respiratory viruses (RVs). We have identified clinical or biological characteristics to help distinguish SARS-CoV-2 from other RVs., Methods: We used a prospective cohort including all consecutive patients admitted through the emergency department's (ED) and presenting respiratory symptoms from November 2019 to April 2020. Patients were tested for RV using multiplex polymerase chain reaction (mPCR) and SARS-CoV-2 RT-PCR., Results: 203/508 patients were positive for an RV during the non-SARS-CoV-2 epidemic period (November to February), and 268/596 patients were SARS-CoV-2 positive during the SARS-CoV-2 epidemic (March to April). Younger age, male gender, fever, absence of expectoration and absence of chronic lung disease were statistically associated with SARS-CoV-2 detection. Combining these variables allowed for the distinguishing of SARS-CoV-2 infections with 83, 65, 75 and 76% sensitivity, specificity, PPV and NPV, respectively., Conclusion: Patients' characteristics associated with a positive PCR are common between SARS-CoV-2 and other RVs, but a simple discrimination of strong SARS-CoV-2 suspicion with a limited set of clinical features seems possible. Such scoring could be useful but has to be prospectively evaluated and will not eliminate the need for rapid PCR assays., Competing Interests: DB and BV declare having received past personal fees and grant from Qiagen. All the others declare having no conflict of interest. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

ED-visits and through-ED admissions to medical/surgical wards (MSW) and intensive care unit (ICU) during influenza, COVID-19 and lockdown periods were evaluated in a four-hospital prospective observational study from November 2018 to March 2020. ED visit characteristics and main diagnostic categories were assessed. Analysis of 368,262 ED-visits highlighted a significantly increasing trend in ED-visits during influenza followed by a significantly decreasing trend after lockdown. For MSW-admissions, a pattern of growth during influenza was followed by a fall that began during COVID-19 pandemic and intensified during the lockdown. For ICU-admissions, a significant rise during the COVID-19 pandemic was followed by diminution during the lockdown period. During lockdown, significantly diminishing trends were shown for all diagnostic categories (between -40.8% and -73.6%), except influenza-like illness/COVID cases (+31.6%), Pulmonary embolism/deep vein thrombosis (+33.5%) and frequent users (+188.0%). The present study confirms an increase in demand during the influenza epidemic and during the initial phase of the COVID-19 epidemic, but a drop in activity during the lockdown, mainly related to non-COVID conditions. Syndromic surveillance of ILI cases in ED is a tool for monitoring influenza and COVID-19, and it can predict ED activity and the need for MSW and ICU beds.

Introduction: Every winter, emergency departments (EDs) face overcrowding with patients presenting influenza-like symptoms, and organisational issues such as single room assignment and droplet precautions to avoid hospital-acquired influenza. Our main objective was to assess the impact of PCR results and patient's severity on single room assignment., Methods: All patients admitted to Bichat-Claude Bernard Hospital through the ED and tested for influenza by PCR (GenXpert, Cepheid) or (FilmArray, BioMérieux) on a nasopharyngeal swab were retrospectively included during three influenza seasons (2015-2018., Results: Of 1,330 included patients, 278 (20.9%) had a positive PCR for influenza. The median time to obtain a PCR result was 19 hours, and 238 (18.3%) patients were assigned a single room. Among patients with positive and negative influenza PCR, 22.3% and 16.7% were assigned a single room (p = 0.03). The multivariable analysis was performed on the two first epidemic periods, excluding the third epidemic because of the concomitant use of influenza immune-chromatic test. Only level 1 of the Emergency severity index (ESI) (aOR, 1.9; 95% CI, 1.3-2.8; p < 0.01) was associated with single-room assignment. PCR result was not statistically associated with the decision of single room assignment (aOR, 1.4; 95%CI, 1.0-1.4; p = 0.07)., Conclusion: A PCR positive for influenza was not significantly associated with single-room assignment. Less than one quarter of influenza patients were adequately assigned a single room, likely due to the long turnaround time of PCR result and other conflicting indications for single room-assignment. Accelerating biological diagnosis could improve single-room assignment., Competing Interests: The authors have declared that no competing interests exist.

To evaluate the impact of an influenza vaccination (IV) coverage (IVC) in a vaccination campaign of an Emergency Department (EDVC) and its impact on ED time interval quality indicators. We conducted a 4 year observational study, with an intervention during the 4th year. IVC was calculated during pre-and early-epidemic periods. During the final period, a 12 weeks EDVC was implemented. Physicians and nurses were trained and sensitized in the importance of vaccination, and their role in the prevention of severe forms of influenza was reinforced. The vaccine was proposed by physicians and nurses, and delivered by them. Repeated measures ANOVA is a validated method for related not independent groups ( https://statistics.laerd.com/statistical-guides/repeated-measures-anova-statistical-guide.php ). Overall, IVC was 987/3191 (30.9%) with an increasing trend from 28.8 to 33.2%. In the fourth period, out of 868 patients identified with IV indication, 288 had already been vaccinated (IVC 33.2%). After excluding patients presenting criteria of exclusion, IV was proposed to 475 patients: 317 (66.7%) accepted. The vaccination rate after patient's acceptance was 89.6% (288/317). At the end of the EDVC, influenza vaccination coverage was 572 (284 + 288)/868 (65.9%). The delay between arrival at the ED and seeing the triage nurse and physician as well as the overall ED length of stay were not modified during the study period and before and during EDVC. EDVC effectively doubled the influenza vaccination coverage, without modifying ED time interval quality indicators.