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Early identification of sepsis is particularly important in the emergency department (ED). However, data on the diagnosis of sepsis in the ED are scanty, especially within the Italian context. To quantify sepsis incidence and recognition in the ED from Lombardy, Italy, we used EUOL data from the Regional Emergency Agency for the years 2017-2022. Sepsis was identified based on the ED discharge diagnosis; recognized sepsis cases were those assigned to a high-priority code at triage, while unrecognized ones were those assigned to a low priority code. Odds ratios (ORs) for sepsis recognition according to various patient characteristics were estimated using multivariable mixed-effects logistic regression models. The rate of sepsis diagnosis in ED was 1.9 per 1000 (6626 patients) in 2017 and increased to 3.4 per 1000 in 2022 (11,508 patients). In 2022, 67% of sepsis cases were correctly identified. Death in the ED was more frequent in patients with recognized sepsis (10.4%) than in those with unrecognized sepsis (2.3%). The probability of sepsis being recognized at ED admission was higher in men (multivariable OR: 1.06), in individuals with advanced age (OR: 1.71 for age ≥ 90 years vs < 60), and in those with access to the second (OR: 1.48) and third ED level (OR: 1.87). Conversely, it was lower in patients arriving at the ED through autonomous transportation (OR: 0.36). This large real-world analysis indicates an increase in sepsis cases referred to the ED in recent years. About one-third of sepsis cases are not correctly identified at triage, although more severe cases appear to be promptly recognized., (© 2023. The Author(s), under exclusive licence to Società Italiana di Medicina Interna (SIMI).)

While several studies have evaluated the prognostic weight of respiratory parameters in patients with COVID-19, few have focused on patients' clinical conditions at the first emergency department (ED) assessment. We analyzed a large cohort of ED patients recruited within the EC-COVID study over the year 2020, and assessed the association between key bedside respiratory parameters measured in room air (pO 2 , pCO 2 , pH, and respiratory rate [RR]) and hospital mortality, after adjusting for key confounding factors. Analyses were based on a multivariable logistic Generalized Additive Model (GAM). After excluding patients who did not perform a blood gas analysis (BGA) test in room air or with incomplete BGA results, a total of 2458 patients were considered in the analyses. Most patients were hospitalized on ED discharge (72.0%); hospital mortality was 14.3%. Strong, negative associations with hospital mortality emerged for pO 2 , pCO 2 and pH (p-values: < 0.001, < 0.001 and 0.014), while a significant, positive association was observed for RR (p-value < 0.001). Associations were quantified with nonlinear functions, learned from the data. No cross-parameter interaction was significant (all p-values were larger than 0.10), suggesting a progressive, independent effect on the outcome as the value of each parameter departed from normality. Our results collide with the hypothesized existence of patterns of breathing parameters with specific prognostic weight in the early stages of the disease., (© 2023. The Author(s), under exclusive licence to Società Italiana di Medicina Interna (SIMI).)

The diffusion of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) worldwide prompted the World Health Organization to declare the status of pandemic. The molecular diagnosis of SARS-CoV-2 infection is based on the detection of viral RNA on different biological specimens. Unfortunately, the test may require several hours to be performed. In the present study, we evaluated the diagnostic accuracy of lung point-of-care ultrasound (POCUS) for SARS-CoV-2 pneumonia in a cohort of symptomatic patients admitted to one emergency department (ED) in a high-prevalence setting. This retrospective study enrolled all patients who visited one ED with suspected respiratory infection in March 2020. All the patients were tested (usually twice if the first was negative) for SARS-CoV-2 on ED admission. The reference standard was considered positive if at least one specimen was positive. If all the specimens tested negative, the reference was considered negative. Diagnostic accuracy was evaluated using sensitivity, specificity, and positive and negative predictive value. Of the 444 symptomatic patients who were admitted to the ED in the study period, the result of the lung POCUS test was available for 384 (86.5%). The sensitivity of the test was 92.0% (95% CI 88.2-94.9%), and the specificity was 64.9% (95% CI 54.6-74.4%). We observed a prevalence of SARS-CoV-2 infection of 74.7%. In this setting, the positive and negative predicted values were 88.6% (95% CI 84.4-92.0) and 73.3% (95% CI 62.6-82.2%), respectively. Lung POCUS is a sensitive first-line screening tool for ED patients presenting with symptoms suggestive of SARS-CoV-2 infection.

Several studies address the accuracy of lung ultrasound (LUS) in the diagnosis of cardiogenic pulmonary edema (CPE) evaluating the interstitial syndrome, which is characterized by multiple and diffuse vertical artifacts (B-lines), and correlates with extravascular lung water. We studied the potential role of LUS in monitoring CPE response to therapy, by evaluating the clearance of interstitial syndrome within the first 24 h after Emergency Department (ED) admission. LUS was performed at arrival (T0), after 3 (T3) and 24 (T24) hours. Eleven regions were evaluated in the antero-lateral chest; the B-lines burden was estimated in each region (0 = no B-lines, 1 = multiple B-lines, 2 = confluent B-lines/white lung) and a mean score (B-Score, range 0-2) was calculated. Patients received conventional CPE treatment. Blood chemistry, vital signs, blood gas analysis, diuresis at T0, T3, T24 were also recorded. A complete echocardiography was obtained during hospitalization. Forty-one patients were enrolled. Respiratory and hemodynamic parameters improved in all patients between T0 and T3 and between T3 and T24. Mean B-score significantly decreased at T3 (from 1.59 ± 0.40 to 0.73 ± 0.44, P < 0.001) and between T3 and T 24 (from 0.73 ± 0.44 to 0.38 ± 0.33, P < 0.001). B-score was higher in the lower pulmonary regions at any time. At final evaluation (T24) 75 % of apical and only 38 % of basal regions were cleared. LUS allows one to assess the clearance of interstitial syndrome and its distribution in the early hours of treatment of CPE, thus representing a possible tool to guide therapy titration.

Sepsis is a rapidly evolving disease with a high mortality rate. The early identification of sepsis and the implementation of early evidence-based therapies have been recognized to improve outcome and decrease sepsis-related mortality. The aim of this study was to compare the accuracy of the standard diagnostic work-up of septic patients with an integrated approach using early point of care ultrasound (POCUS) to identify the source of infection and to speed up the time to diagnosis. We enrolled a consecutive sample of adult patients admitted to the ED who met the Surviving Sepsis Campaign (SSC) criteria for sepsis. For every patient, the emergency physician was asked to identify the septic source after the initial clinical assessment and after POCUS. Patients were then addressed to the standard predefined work-up. The impression at the initial clinical assessment and POCUS-implemented diagnosis was compared with the final diagnosis of the septic source, determined by independent review of the entire medical record after discharge. Two hundred consecutive patients entered the study. A final diagnosis of the septic source was obtained in 178 out of 200 patients (89 %). POCUS-implemented diagnosis had a sensitivity of 73 % (95 % CI 66-79 %), a specificity of 95 % (95 % CI 77-99 %), and an accuracy of 75 %. Clinical impression after the initial clinical assessment (T0) had a sensitivity of 48 % (CI 95 % 41-55 %) and a specificity of 86 % (CI 95 % 66-95 %). POCUS improved the sensitivity of the initial clinical impression by 25 %. POCUS-implemented diagnoses were always obtained within 10 min. Instead the septic source was identified within 1 h in only 21.9 % and within 3 h in 52.8 % with a standard work-up. POCUS-implemented diagnosis is an effective and reliable tool for the identification of septic source, and it is superior to the initial clinical evaluation alone. It is likely that a wider use of POCUS in an emergency setting will allow a faster diagnosis of the septic source, leading to more appropriate and prompt antimicrobial therapy and source control strategies.